Author: "Kawachi, A." / Topic: middle aged - Searchworks@Jio Institute Digital Library Search Results

1,139 results on '"Kawachi, A."'

1. The association of acculturative stress with self-reported sleep disturbance and sleep duration among Asian Americans.

Author: Lee, Sunmin, Ryu, Soomin, Lee, Grace E, Kawachi, Ichiro, Morey, Brittany N, and Slopen, Natalie
Subjects: Digestive Diseases, Behavioral and Social Science, Clinical Trials and Supportive Activities, Mental Health, Sleep Research, Prevention, Cancer, Colo-Rectal Cancer, Clinical Research, Good Health and Well Being, Acculturation, Asian, Cross-Sectional Studies, Emigrants and Immigrants, Female, Humans, Male, Middle Aged, Self Report, Sleep, Sleep Wake Disorders, Stress, Psychological, United States, Asian Americans, sleep, acculturative stress, emigrants and immigrants, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract: Study objectivesThis study aims to examine associations between acculturative stress-defined as the psychological impact, or stress reaction, of adapting to a new cultural context-and self-reported sleep outcomes among Chinese and Korean immigrants in the United States.MethodsIn this cross-sectional study, acculturative stress was assessed using a 9-item scale, and sleep disturbance was measured using the 8-item scale. Sleep duration was self-reported. Poisson and linear regression analyses were conducted to examine the associations between acculturative stress, sleep disturbance, and sleep duration.ResultsOur sample consists of 400 participants (females: 52%, Chinese: 50%, Koreans: 50%, the mean of age = 58.4). 81.8% of them were classified as having no sleep disturbance, whereas 18.2% were classified as having sleep disturbance. Poisson models revealed that greater acculturative stress was associated with a higher prevalence of sleep disturbance (Prevalence Ratio (PR): 1.18, 95% confidence interval (CI): 1.06% to 1.31%). In linear models, a one-unit increase in acculturative stress was associated with 0.08 hr less sleep (p < .05). Interaction tests indicated effect modification for sleep disturbance by sex and ethnic identity: only women had a significant association between acculturative stress and sleep disturbance (PR: 1.30; 95% CI: 1.13 to 1.49), while the association was significant for individuals identifying as "very Asian" (PR: 1.21; 95% CI: 1.08 to 1.35), but not for those identifying as "mostly Asian" or "bicultural/western".ConclusionsIf findings are replicated, we suggest developing intervention programs for Asian immigrants to minimize acculturative stress and bolster protective factors that decrease the risk for poor sleep outcomes.Information on Clinical Trial: Name: Screening To Prevent ColoRectal Cancer (STOP CRC) among At-Risk Asian American Primary Care Patients NCT Number: NCT03481296 URL: https://clinicaltrials.gov/ct2/show/NCT03481296?term=Sunmin+Lee&draw=2&rank=1.
Published: 2022

2. Longitudinal cohort of HIV-negative transgender women of colour in New York City: protocol for the TURNNT (‘Trying to Understand Relationships, Networks and Neighbourhoods among Transgender women of colour’) study

Author: Callander, Denton, Schneider, John A, Radix, Asa, Chaix, Basile, Scheinmann, Roberta, Love, Gia, Smith, Jordyn, Regan, Seann D, Kawachi, Ichiro, St James, Kiara, Ransome, Yusuf, Herrera, Cristina, Reisner, Sari L, Doroshow, Ceyenne, Poteat, Tonia, Watson, Kim, Bluebond-Langner, Rachel, Toussaint, Nala, Garofalo, Robert, Sevelius, Jae, and Duncan, Dustin T
Subjects: Biomedical and Clinical Sciences, Public Health, Health Sciences, Behavioral and Social Science, Infectious Diseases, Prevention, Sexual and Gender Minorities (SGM/LGBT*), Clinical Research, HIV/AIDS, Mental Health, Aetiology, 2.2 Factors relating to the physical environment, Generic health relevance, Infection, Good Health and Well Being, Adolescent, Adult, Black or African American, Asian, Asian People, Cross-Sectional Studies, Female, HIV Infections, HIV Seronegativity, Hispanic or Latino, Humans, Interpersonal Relations, Male, Middle Aged, Multivariate Analysis, Native Hawaiian or Other Pacific Islander, New York City, Prospective Studies, Residence Characteristics, Sexual Partners, Social Networking, Transgender Persons, Young Adult, HIV & AIDS, epidemiology, sexual medicine, Clinical Sciences, Public Health and Health Services, Other Medical and Health Sciences, Biomedical and clinical sciences, Health sciences, Psychology
Abstract: IntroductionIn the USA, transgender women are among the most vulnerable to HIV. In particular, transgender women of colour face high rates of infection and low uptake of important HIV prevention tools, including pre-exposure prophylaxis (PrEP). This paper describes the design, sampling methods, data collection and analyses of the TURNNT ('Trying to Understand Relationships, Networks and Neighbourhoods among Transgender women of colour') study. In collaboration with communities of transgender women of colour, TURNNT aims to explore the complex social and environmental (ie, neighbourhood) structures that affect HIV prevention and other aspects of health in order to identify avenues for intervention.Methods and analysesTURNNT is a prospective cohort study, which will recruit 300 transgender women of colour (150 Black/African American, 100 Latina and 50 Asian/Pacific Islander participants) in New York City. There will be three waves of data collection separated by 6 months. At each wave, participants will provide information on their relationships, social and sexual networks, and neighbourhoods. Global position system technology will be used to generate individual daily path areas in order to estimate neighbourhood-level exposures. Multivariate analyses will be conducted to assess cross-sectional and longitudinal, independent and synergistic associations of personal relationships (notably individual social capital), social and sexual networks, and neighbourhood factors (notably neighbourhood-level social cohesion) with PrEP uptake and discontinuation.Ethics and disseminationThe TURNNT protocol was approved by the Columbia University Institutional Review Board (reference no. AAAS8164). This study will provide novel insights into the relationship, network and neighbourhood factors that influence HIV prevention behaviours among transgender women of colour and facilitate exploration of this population's health and well-being more broadly. Through community-based dissemination events and consultation with policy makers, this foundational work will be used to guide the development and implementation of future interventions with and for transgender women of colour.
Published: 2020

3. The Neighborhood Social Environment and Objective Measures of Sleep in the Multi-Ethnic Study of Atherosclerosis

Author: Johnson, Dayna A, Simonelli, Guido, Moore, Kari, Billings, Martha, Mujahid, Mahasin S, Rueschman, Michael, Kawachi, Ichiro, Redline, Susan, Roux, Ana V Diez, and Patel, Sanjay R
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Psychology, Behavioral and Social Science, Basic Behavioral and Social Science, Cardiovascular, Aging, Prevention, Clinical Research, Sleep Research, Aetiology, 2.3 Psychological, social and economic factors, Actigraphy, Aged, Aged, 80 and over, Atherosclerosis, Bayes Theorem, Cross-Sectional Studies, Ethnicity, Female, Humans, Male, Middle Aged, Racial Groups, Residence Characteristics, Risk Factors, Safety, Sleep, Sleep Deprivation, Social Environment, Surveys and Questionnaires, Time Factors, United States, Neighborhoods, sleep duration, sleep timing, actigraphy, Neighborhoods, sleep duration, sleep timing, actigraphy, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery, Biological sciences, Biomedical and clinical sciences
Abstract: To investigate cross-sectional associations of neighborhood social environment (social cohesion, safety) with objective measures of sleep duration, timing and disturbances.A racially/ethnically diverse population of men and women (N=1949) aged 54-93 participating in the Multi-Ethnic Study of Atherosclerosis Sleep and Neighborhood Ancillary studies. Participants underwent 1-week actigraphy between 2010 and 2013. Measures of sleep duration, timing and disruption were averaged over all days. Neighborhood characteristics were assessed via questionnaires administered to participants and an independent sample within the same neighborhood and aggregated at the neighborhood (census tract, N=783) level using empirical Bayes estimation. Multilevel linear regression models were used to assess the association between the neighborhood social environment and each sleep outcome.Neighborhood social environment characterized by higher levels of social cohesion and safety were associated with longer sleep duration and earlier sleep midpoint. Each 1 standard deviation higher neighborhood social environment score was associated with 6.1 minutes longer (95% Confidence Interval (CI): 2.0, 10.2) sleep duration and 6.4 minutes earlier (CI: 2.2, 10.6) sleep midpoint after adjustment for age, sex, race, socioeconomic status and marital status. These associations persisted after adjustment for other risk factors. Neighborhood social factors were not associated with sleep efficiency or sleep fragmentation index.A more favorable neighborhood social environment is associated with longer objectively measured sleep duration and earlier sleep timing. Intervening on the neighborhood environment may improve sleep and subsequent health outcomes.
Published: 2017

4. Revisiting mendelian randomization studies of the effect of body mass index on depression

Author: Walter, Stefan, Kubzansky, Laura D, Koenen, Karestan C, Liang, Liming, Tchetgen, Eric J Tchetgen, Cornelis, Marilyn C, Chang, Shun‐Chiao, Rimm, Eric, Kawachi, Ichiro, and Glymour, M Maria
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Clinical Sciences, Neurosciences, Clinical Research, Depression, Prevention, Mental Health, Aetiology, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Adult, Body Mass Index, Female, Genotype, Humans, Mendelian Randomization Analysis, Middle Aged, Models, Genetic, Polymorphism, Single Nucleotide, Risk Factors, obesity, adiposity, genetic, FTO, causation, instrumental variable analysis, Adiposity, Causation, Genetic, Instrumental variable analysis, Obesity, Clinical sciences
Abstract: Mendelian Randomization studies, which use genetic instrumental variables (IVs) as quasi-experiments to estimate causal effects, report inconsistent findings regarding effects of body mass index (BMI) on mental health. We used genetic IV to estimate effects of BMI on depression and evaluated validity of a commonly used IV. Female Nurse's Health Study participants (n=6989, average age 56.4, [Standard Deviation 6.91] years at first depression assessment) self-reported BMI, which was averaged across eight reports prior to depression assessment (mean=24.96, SD 4.50). Genetic instruments included fat mass and obesity-associated protein (FTO) alleles, melanocortin receptor 4 (MC4R) alleles, and polygenic risk scores based on 32 established polymorphisms for BMI. Depression was assessed using multiple symptom measures, scaled to the Geriatric Depression Scale 15, averaged across up to 7 biennial waves. We used over-identification tests to assess the validity of genetic IVs. In conventional estimates, each additional BMI point predicted 0.024 (95% Confidence Interval (CI): 0.020-0.029) higher average depression scores. Genetic IV estimates were not significant when based on FTO (beta: 0.064, CI: -0.014, 0.142), MC4R (beta: 0.005, CI: -0.146, 0.156), polygenic score excluding FTO (beta=-0.003, 95%-CI -0.051, 0.045), or mechanism-specific scores. The over-identification test comparing IV estimates based on FTO to estimates based on the polygenic score excluding FTO rejected equality of estimated effects (P=0.014). Results provide no evidence against a null effect of BMI on depression and call into question validity of FTO as an instrument for BMI in Mendelian Randomization studies.
Published: 2015

5. Racial disparities in life expectancy in Brazil: challenges from a multiracial society.

Author: Chiavegatto Filho, Alexandre Dias Porto, Beltrán-Sánchez, Hiram, and Kawachi, Ichiro
Subjects: Aging, Good Health and Well Being, Peace, Justice and Strong Institutions, Adolescent, Adult, Aged, Aged, 80 and over, Black People, Brazil, Child, Child, Preschool, Female, Health Status Disparities, Humans, Infant, Life Expectancy, Life Tables, Male, Middle Aged, Racial Groups, White People, Young Adult, Medical and Health Sciences, Public Health
Abstract: ObjectivesWe calculated life expectancy at birth for Whites, Blacks, and mixed races in Brazil, and decomposed the differences by causes of death.MethodsWe used Ministry of Health death records and 2010 Census population data (190,755,799 residents and 1,136,947 deaths). We applied the Arriaga methodology to calculate decomposition of life expectancy by cause of death. We performed sensitivity analyses for underreporting of deaths, missing data, and numerator-denominator bias.ResultsUsing standard life table methods, female life expectancy was highest for mixed races (78.80 years), followed by Whites (77.54 years), then Blacks (76.32 years). Male life expectancy was highest for Whites (71.10 years) followed closely by mixed races (71.08 years), and lower for Blacks (70.11 years). Homicides contributed the most to the relative life expectancy increase for Whites, and cancer decreased the gap. After adjustment for underreporting, missing data, and numerator-denominator bias, life expectancy was higher for Whites than for Blacks and mixed races.ConclusionsDespite wide socioeconomic differences between Whites and mixed races, standard life table methods showed that mixed races had higher life expectancy than Whites for women, and similar for men. With the increase of multiracial populations, measuring racial disparities in life expectancy will be a fast-growing challenge.
Published: 2014

6. The effects of stress at work and at home on inflammation and endothelial dysfunction.

Author: Non, Amy L, Rimm, Eric B, Kawachi, Ichiro, Rewak, Marissa A, and Kubzansky, Laura D
Subjects: Endothelium, Vascular, Humans, Inflammation, Intercellular Adhesion Molecule-1, Vascular Cell Adhesion Molecule-1, Receptors, Tumor Necrosis Factor, Interleukin-6, Stress, Psychological, Life Change Events, Aged, Middle Aged, Health Personnel, Workload, Male, Biomarkers, General Science & Technology
Abstract: This study examined whether stress at work and at home may be related to dysregulation of inflammation and endothelial function, two important contributors to the development of cardiovascular disease. In order to explore potential biological mechanisms linking stress with cardiovascular health, we investigated cross-sectional associations between stress at work and at home with an inflammation score (n's range from 406-433) and with two endothelial biomarkers (intercellular and vascular adhesion molecules, sICAM-1 and sVCAM-1; n's range from 205-235) in a cohort of healthy US male health professionals. No associations were found between stress at work or at home and inflammation. Men with high or medium levels of stress at work had significantly higher levels of sVCAM-1 (13% increase) and marginally higher levels of sICAM-1 (9% increase), relative to those reporting low stress at work, independent of health behaviors. Men with high levels of stress at home had marginally higher levels of both sVCAM-1 and sICAM-1 than those with low stress at home. While lack of findings related to inflammation are somewhat surprising, if replicated in future studies, these findings may suggest that endothelial dysfunction is an important biological mechanism linking stress at work with cardiovascular health outcomes in men.
Published: 2014

7. Sporadic intra-abdominal desmoid tumor with a very unusual onset: two case reports

Author: Hiroshi Kuwabara, Shigeyuki Kawachi, Itsuki Koganezawa, Akihiko Tsuchida, Sou Katayanagi, Kenji Katsumata, and Masashi Nakagawa
Subjects: Adult, Male, Abdominal pain, medicine.medical_specialty, Aggressive fibromatosis, Case Report, Fibromatosis, Abdominal, Tumoral hemorrhage, Surgical oncology, medicine, Atypia, Humans, Mesentery, Obstructive uropathy, Hydronephrosis, Colectomy, medicine.diagnostic_test, business.industry, General Medicine, Middle Aged, medicine.disease, Abdominal Pain, Fibromatosis, Aggressive, Mesenteric fibromatosis, Abdominal ultrasonography, Medicine, Surgery, Radiology, medicine.symptom, business, Abdominal surgery
Abstract: Background Intra-abdominal desmoid tumors are rare soft tissue tumors that arise mainly in the mesentery and pelvis. Their etiology may include genetic mutations, estrogen-associated changes after childbirth, and mechanical factors such as a history of abdominal surgery. However, there are cases of intra-abdominal desmoid tumors that develop in the absence of such causes. Since they are rare, diagnosis is often difficult based on clinical findings. We encountered two cases of patients with sporadic intra-abdominal desmoid tumors with a very unusual onset and contrasting features. Case presentation The first patient was a 51-year-old asian man who presented with sudden onset of abdominal pain. He was referred to our department because of a giant tumor detected on abdominal ultrasonography. Imaging revealed a 19-cm tumor with internal tumoral hemorrhage; however, no definitive diagnosis was made. Tumor resection was performed for diagnostic and therapeutic purposes. The second patient was a 41-year-old asian man, and right hydronephrosis was detected on abdominal ultrasonography during a periodic medical checkup. We diagnosed invasion of the primary mesenteric tumor into the right ureter using diagnostic imaging and performed ileocecal resection with partial right ureteral resection for a definitive diagnosis and therapeutic purposes. Although the tumors of both patients had developed from the ileal mesentery, the tumors were substantially different from each other based on their imaging findings, macroscopic morphology, and progression pattern. Meanwhile, they showed similar pathological characteristics. Both consisted of bundles of collagen fibrils of spindle-shaped fibroblasts with low cell atypia. Moreover, they were diagnosed as desmoid tumors using positive immunohistochemical staining for β-catenin. Conclusions Neither patient had susceptibility factors for desmoid tumors, and to our knowledge, there have been very few reports to date of intra-abdominal desmoid tumors that were diagnosed because of acute abdominal pain caused by tumoral hemorrhage or asymptomatic obstructive uropathy. Furthermore, it is clinically interesting that the two patients showed contrasting progression patterns and imaging findings. Intra-abdominal desmoid tumors are rare and may present with various symptoms and findings similar to those observed in our patients. Diagnosis therefore requires experience and knowledge that is not bound by preconceptions.
Published: 2021

8. Large-Scale Fandom-based Gamification Intervention to Increase Physical Activity: A Quasi-experimental Study

Author: Naoki Kondo, Koichiro Shiba, I-Min Lee, Ichiro Kawachi, Masamitsu Kamada, Hana Hayashi, and Masataka Taguri
Subjects: Adult, Male, Applied psychology, Physical Therapy, Sports Therapy and Rehabilitation, EXERCISE, Health Promotion, Walking, Young Adult, Game design, Intervention (counseling), Humans, Orthopedics and Sports Medicine, MHEALTH, Socioeconomic status, Aged, BEHAVIOR CHANGE, Applied Sciences, DISSEMINATION, Middle Aged, NUDGING, Gamification, Mobile Applications, Confidence interval, Incentive, Scale (social sciences), ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Survey data collection, Female, Smartphone, Fandom, Psychology
Abstract: Supplemental digital content is available in the text., Purpose Gamification, the use of game design elements in nongame contexts, in combination with insights from behavioral economics, has been applied increasingly to behavior change interventions. However, little is known about the effectiveness or scalability of this approach, especially in the long term. We tested a large-scale smartphone-based intervention to encourage physical activity among Japanese baseball fans using gamification techniques that leveraged fandom and interteam competition inherent in sports. Methods A quasi-experimental study was conducted among fans of the Japanese Pacific League. The app, Pa-League Walk, included gamification elements, such as competition between opposing teams’ fans based on total daily step counts on game days (>60,000 free downloads since March 2016). We analyzed daily steps of 20,052 app users, supplemented by online survey data of 274 users and 613 matched controls. Difference-in-differences estimators evaluated change in daily steps before and after app installation in users versus matched controls. Results Users’ daily steps increased by 574 (95% confidence interval, 83–1064) steps 3 months after installation, compared with controls. The increase was maintained for up to 9 months (559 (99–1018) more steps per day vs baseline), attenuating over a longer follow-up. Positive effect modification was found by high-frequency of the app use (P < 0.001) but not by other covariables (P ≥ 0.14) such as education or income. Days with 10,000-step achievement increased from 24.4% to 27.5% after the additional introduction of incentives (digital player photographs; P < 0.001). Conclusions Using existing fandom and solidarity, the gamification app increased physical activity at scale among baseball fans, including people with lower socioeconomic status underrepresented in traditional health programs.
Published: 2021

9. Plasma xanthine oxidoreductase activity in Japanese patients with type 2 diabetes across hospitalized treatment

Author: Shunbun Kita, Yuya Fujishima, Takashi Nakamura, Akimitsu Miyake, Yusuke Kawachi, Takayo Murase, Naohiro Taya, Mitsuyoshi Takahara, Kazuo Omori, Norikazu Maeda, Shiro Fukuda, Seigo Akari, Naoto Katakami, Hirofumi Nagao, Hitoshi Nishizawa, and Iichiro Shimomura
Subjects: Male, 0301 basic medicine, Xanthine Dehydrogenase, Endocrinology, Diabetes and Metabolism, Type 2 diabetes, Gastroenterology, Type2 diabetes mellitus, chemistry.chemical_compound, 0302 clinical medicine, Japan, Medicine, Hypoxanthine, biology, Type 2 diabetes mellitus, Alanine Transaminase, Articles, General Medicine, Middle Aged, Hospitalization, Clinical Science and Care, Original Article, Female, Adult, medicine.medical_specialty, Xanthine oxidoreductase, Aspartate transaminase, 030209 endocrinology & metabolism, Glycemic Control, Diseases of the endocrine glands. Clinical endocrinology, Young Adult, 03 medical and health sciences, Asian People, Internal medicine, Diabetes mellitus, Internal Medicine, Humans, Aspartate Aminotransferases, Aged, business.industry, Type 2 Diabetes Mellitus, Xanthine, medicine.disease, RC648-665, Cross-Sectional Studies, 030104 developmental biology, Diabetes Mellitus, Type 2, chemistry, Alanine transaminase, Liver transaminases, biology.protein, Uric acid, business
Abstract: Aims/Introduction Xanthine oxidoreductase (XOR) is an enzyme that catalyzes hypoxanthine and xanthine to xanthine and uric acid, respectively. Plasma XOR activity has recently been measured in humans. However, limited information is known about plasma XOR activity in patients with type 2 diabetes mellitus, and its changes after short‐term glycemic control treatment. Materials and Methods We enrolled 28 Japanese patients (10 men/18 women) with type 2 diabetes mellitus who were hospitalized to undergo medical treatment for diabetes. Plasma XOR activity, quantified using triple quadrupole mass spectrometry and liquid chromatography, and other clinical parameters were examined at admission and 2 weeks after treatment during hospitalization. Changes in plasma XOR activity after treatment during hospitalization and associated clinical parameters were assessed. Results At the time of admission, the median plasma XOR activity was 83.1 pmol/h/mL, with a wide range of 14.4–1150 pmol/h/mL. Multiple regression analysis identified serum aspartate transaminase and alanine transaminase levels as significant and independent factors correlating with the baseline plasma XOR. Two weeks of treatment during hospitalization was associated with a significant decrease in plasma XOR activity. Changes in serum aspartate transaminase were also the only significant and independent factor correlating with changes in plasma XOR activity. Conclusions A close relationship was observed between plasma XOR activity and liver transaminases in patients with type 2 diabetes mellitus, cross‐sectionally, and also across treatment during hospitalization., In diabetes patients, baseline plasma xanthine oxidoreductase activity was associated with aspartate transaminase and alanine transaminase. After treatment during hospitalization, plasma xanthine oxidoreductase activity was significantly decreased. By the treatment, Δ aspartate transaminase was the only independent factor for Δ plasma xanthine oxidoreductase activity.
Published: 2021

10. [Massive Hemorrhage from the Delayed Diaphragmatic Injury due to the Rib Fracture after the Blunt Chest Trauma:Report of a Case]

Author: Rei, Hatayama, Riken, Kawachi, Atsushi, Asakura, Junya, Suzuki, Masashi, Sakakibara, Ryota, Higure, Mie, Shimamura, and Hiroyuki, Sakurai
Subjects: Hemothorax, Male, Rib Fractures, Thoracic Injuries, Humans, Hemorrhage, Middle Aged, Wounds, Nonpenetrating
Abstract: We report a case of delayed diaphragmatic injury caused by lower rib fractures. A 56-year-old male was referred to our hospital due to the fractures of right lower ribs. Chest X-ray revealed pneumothorax, and the patient was hospitalized for follow-up. On the sixth day after the injury, the patient suddenly complained of chest pain and respiratory distress, and then shock status developed. Chest computed tomography (CT) revealed massive pleural effusion. An emergency operation was performed. The injury of the diaphragm was found. Fracture of the lower rib can cause diaphragmatic injury leading to massive hemorrhage.
Published: 2022

11. Medicaid healthy behavior incentives and use of dental services

Author: Ichiro Kawachi, Benjamin D. Sommers, and Hawazin W. Elani
Subjects: Adult, Male, Healthy behavior, Health Behavior, Health Services Accessibility, Behavioral Risk Factor Surveillance System, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Residence Characteristics, Humans, Medicine, 030212 general & internal medicine, Dental Care, Data collection, Medicaid, business.industry, 030503 health policy & services, Health Policy, Middle Aged, Dental care, United States, stomatognathic diseases, Incentive, Socioeconomic Factors, Female, Extraction methods, Rural area, 0305 other medical science, business, Demography
Abstract: OBJECTIVE: To examine changes in access to dental care in states using Section 1115 waivers to implement healthy behavior incentive (HBI) programs in their Medicaid expansion under the ACA, compared to traditional expansion states and nonexpansion states. DATA SOURCES: Behavioral Risk Factor Surveillance System from 2008 to 2018. STUDY DESIGN: We used difference‐in‐differences analysis to compare changes in three Medicaid expansion states with HBI (Iowa, Indiana, Michigan) to traditional expansion (Minnesota, North Dakota, Ohio) and nonexpansion states (Nebraska, South Dakota, Wyoming) in the same mid‐Western region of the country. The sample included 32 556 low‐income adults. DATA COLLECTION/EXTRACTION METHODS: NA. PRINCIPAL FINDINGS: We found no significant changes in dental visits associated with HBI or traditional expansion relative to nonexpansion states. HBI expansion was associated with an increase of 2.2 percentage points in reporting a dental visit in the past year for adults in urban areas (P
Published: 2021

12. Maximum Carotid Intima-Media Thickness in Association with Renal Outcomes

Author: Masayo Sato, Saki Watanabe, Yukako Sawara, Norio Hanafusa, Taro Akihisa, Shun Manabe, Toshio Mochizuki, Ken Tsuchiya, Yusuke Ushio, Kentaro Watanabe, Naomi Iwasa, Shiho Makabe, Keiko Kawachi, Hiroshi Kataoka, Kazuhiro Iwadoh, Rie Yoshida, and Kosaku Nitta
Subjects: Male, medicine.medical_specialty, Carotid arteries, Interactions, Renal function, Kaplan-Meier Estimate, 030204 cardiovascular system & hematology, Carotid Intima-Media Thickness, Cohort Studies, 03 medical and health sciences, Elderly, 0302 clinical medicine, Risk Factors, Chronic kidney disease, Internal medicine, medicine.artery, Internal Medicine, medicine, Humans, In patient, cardiovascular diseases, Renal Insufficiency, Chronic, Aged, Proportional Hazards Models, Proportional hazards model, business.industry, Biochemistry (medical), Hazard ratio, Age Factors, Middle Aged, Prognosis, medicine.disease, Survival Rate, Maximum carotid intima-media thickness, Intima-media thickness, cardiovascular system, Cardiology, Original Article, Female, Internal carotid artery, Cardiology and Cardiovascular Medicine, business, 030217 neurology & neurosurgery, Glomerular Filtration Rate, Kidney disease
Abstract: Aim We aimed to examine the association between the maximum intima-media thickness of the carotid artery (Max IMT) and renal prognosis, considering their potential interaction with age. Methods Survival analyses were performed in 112 patients with chronic kidney disease (CKD), to assess renal prognosis, with the endpoint defined as a ≥ 30% decline in estimated glomerular filtration rate (eGFR) or end-stage renal disease. Results During a median follow-up of 12.5 years, 44 participants reached the study endpoint. The major determinant of Max IMT was the maximum IMT of the internal carotid artery (Max ICA-IMT), which was the distribution ratio of 50.0% of Max IMT. Kaplan-Meier analyses showed that Max IMT ≥ 1.5 mm was significantly associated with renal prognosis when age and eGFR were matched. On multivariate Cox regression analysis, Max IMT was significantly associated with the renal outcomes and had a significant interaction with the age categories (≥ 65 years or ＜65 years) (P=0.0153 for interaction). A 1-mm increase in Max IMT was significantly associated with disease progression in the sub-cohort ＜65 years age-category, but not in the ≥ 65 years age-category; similarly the hazard ratio (HR) in the ＜65 years age-category was higher than in the ≥ 65 years age-category (HR: 2.52 vs. 0.95). Comparable results were obtained for Max ICA-IMT, Max bulb-IMT, but not for Max common carotid artery-IMT. Conclusions A higher Max IMT was a significant renal prognosis factor in patients with CKD aged ＜65 years. Our results may provide new insights into treating CKD.
Published: 2021

13. Impact of kidney function and kidney volume on intracranial aneurysms in patients with autosomal dominant polycystic kidney disease

Author: Hiroshi Kataoka, Hiroyuki Akagawa, Rie Yoshida, Naomi Iwasa, Yusuke Ushio, Taro Akihisa, Masayo Sato, Shun Manabe, Shiho Makabe, Keiko Kawachi, Junichi Hoshino, Ken Tsuchiya, Kosaku Nitta, and Toshio Mochizuki
Subjects: Multidisciplinary, Disease Progression, Humans, Intracranial Aneurysm, Middle Aged, Subarachnoid Hemorrhage, Polycystic Kidney, Autosomal Dominant, Kidney, Glomerular Filtration Rate
Abstract: Background To date, only a personal or family history of intracranial aneurysm/subarachnoid hemorrhage (IA/SAH) has been established as a risk factor for IA in autosomal dominant polycystic kidney disease (ADPKD). Recently, an association between splicing/frameshift mutations, which are reportedly associated with declining kidney function/increased total kidney volume (TKV), and IAs in patients with ADPKD was reported. Objective To confirm the association between kidney function/volume and IAs in patients with ADPKD. Methods This study included 519 patients with ADPKD. Kidney function, TKV, and general risk factors for IA were assessed for associations with IA formation. Results At baseline IA screening, the median age, estimated glomerular filtration rate, and TKV were 44 years, 54.5 mL/min/1.73 m2, and 1054.3 mL, respectively. A family IA/SAH history was confirmed in 18.1% patients, and 54.3% patients had hypertension. IA point prevalence was 12.5%. During a clinical follow-up of 3104 patient-years, de novo IA was detected in 29 patients (0.93% patient-years). IA period prevalence was 18.1% (median age, 60 years). Multivariable logistic regression analyses demonstrated that TKV ≥ 1000 mL (odds ratio [OR] = 2.81), height-adjusted TKV ≥ 500 mL (OR = 2.81), Mayo 1D–1E (OR = 2.52), and chronic kidney disease stages 3–5 (OR = 2.31) were significantly associated with IA formation. Conclusions IAs in patients with ADPKD may be associated with risk factors for IAs in the general population as well as declining kidney function and increased kidney volume. Kidney disease progression may contribute to effective IA screening and treatment planning in patients with ADPKD.
Published: 2022

14. Neighborhood social cohesion and serious psychological distress among Asian, Black, Hispanic/Latinx, and White adults in the United States: a cross-sectional study

Author: Lauren R, Gullett, Dana M, Alhasan, Symielle A, Gaston, W Braxton, Jackson, Ichiro, Kawachi, and Chandra L, Jackson
Subjects: Male, Cross-Sectional Studies, Ethnicity, Prevalence, Public Health, Environmental and Occupational Health, Humans, Female, Hispanic or Latino, Middle Aged, Psychological Distress, United States, Aged, Social Cohesion
Abstract: Background Serious psychological distress (SPD) is common and more prevalent in women, older adults, and individuals with a low-income. Prior studies have highlighted the role of low neighborhood social cohesion (nSC) in potentially contributing to SPD; however, few have investigated this association in a large, nationally representative sample of the United States. Therefore, our objective was to investigate the overall and racial/ethnic-, sex/gender-, self-rated health status-, age-, and household income-specific relationships between nSC and SPD. Methods We used data from survey years 2013 to 2018 of the National Health Interview Survey to investigate nSC and SPD among Asian, Non-Hispanic (NH)-Black, Hispanic/Latinx, and NH-White men as well as women in the United States (N = 168,573) and to determine modification by race/ethnicity, sex/gender, self-rated health status, age, and annual household income. nSC was measured by asking participants four questions related to the trustworthiness and dependability of their neighbors. nSC scores were trichotomized into low ( Results Among 168,573 participants, most were Non-Hispanic (NH)-White (69%), and mean age was 47 ± 0.01 years. After adjustment, low vs. high nSC was associated with a 75% higher prevalence of SPD overall (PR = 1.75 [1.59–1.92]), 4 times the prevalence of SPD among Asian men (PR = 4.06 [1.57–10.50]), 2 times the prevalence of SPD among participants in at least good health (PR = 2.02 [95% CI: 1.74–2.35]), 92% higher prevalence of SPD among participants ≥ 50 years old (PR = 1.92 [1.70–2.18]), and approximately 3 times the prevalence of SPD among Hispanic/Latinx participants with household incomes ≥ $75,000 (PR = 2.97 [1.45–6.08]). Conclusions Low nSC was associated with higher SPD in the overall population and the magnitude of the association was higher in Asian men, participants who reported good health, older participants, and Hispanic/Latinx adults with higher household incomes. Future research should continue to examine how neighborhood contexts can affect health across various sociodemographic groups, especially among groups with multiple marginalized social identities.
Published: 2022

15. Prognostic Significance of Plasma Fibrinogen/Serum Albumin Ratio in the Postoperative Outcome of Pancreatic Ductal Adenocarcinoma

Author: Naokazu Chiba, Koichi Tomita, Toshimichi Kobayashi, Shigeyuki Kawachi, Kosuke Hikita, Takahiro Gunji, Toru Sano, and Shigeto Ochiai
Subjects: Male, Surgical resection, Cancer Research, medicine.medical_specialty, Pancreatic ductal adenocarcinoma, medicine.medical_treatment, Serum albumin, Adenocarcinoma, Fibrinogen, Gastroenterology, Internal medicine, medicine, Humans, Postoperative outcome, Postoperative Period, Serum Albumin, Neoadjuvant therapy, Aged, Retrospective Studies, Aged, 80 and over, biology, business.industry, Albumin, General Medicine, Middle Aged, Prognosis, Survival Analysis, Oncology, biology.protein, Female, business, Adjuvant, Carcinoma, Pancreatic Ductal, medicine.drug
Abstract: BACKGROUND/AIM Surgery is an important pancreatic ductal adenocarcinoma (PDAC) treatment; existing markers are inadequate prognostic indexes. We herein evaluated the utility of the FA score (fibrinogen/albumin ratio) for predicting PDAC postoperative outcomes. PATIENTS AND METHODS We analysed the data of 67 PDAC patients who underwent surgical resection. The relationship between postoperative outcomes and the FA score was investigated. Performance of the FA score was compared to that of other variables and prognostic indexes. RESULTS No patient with FA ≥130 survived >3 years, whereas all patients who survived longer had FA
Published: 2020

16. Elective Nodal Irradiation for Non-small Cell Lung Cancer Complicated With Chronic Obstructive Pulmonary Disease Affects Immunotherapy Αfter Definitive Chemoradiotherapy

Author: Fumio Imamura, Shingo Ohira, Hayato Kawachi, Erina Nakanishi, Kazumi Nishino, Teruki Teshima, Kei Kunimasa, Madoka Kimura, Masayasu Toratani, Motohiro Tamiya, Naoyuki Kanayama, Hanako Kuhara, Masayoshi Miyazaki, Masahiro Morimoto, Takako Inoue, Kika Ohira, Kentaro Wada, Takashi Matsunaga, Koji Konishi, Takero Hirata, Tomohiro Sagawa, and Toru Kumagai
Subjects: Adult, Male, Cancer Research, medicine.medical_specialty, Lung Neoplasms, Durvalumab, medicine.medical_treatment, Gastroenterology, Pulmonary Disease, Chronic Obstructive, Carcinoma, Non-Small-Cell Lung, Internal medicine, Humans, Medicine, Lung cancer, Aged, Aged, 80 and over, COPD, Univariate analysis, business.industry, Retrospective cohort study, Chemoradiotherapy, General Medicine, Definitive chemoradiotherapy, Immunotherapy, Middle Aged, medicine.disease, Combined Modality Therapy, respiratory tract diseases, Treatment Outcome, Oncology, Lymphatic Metastasis, Female, Radiotherapy, Adjuvant, business, Follow-Up Studies
Abstract: Background/aim The aim of this retrospective study was to detect the frequency, reasons, and significant factors for not receiving immunotherapy after chemoradiotherapy in non-small cell lung cancer (NSCLC) patients. Patients and methods Thirty-four patients with NSCLC received definitive chemoradiotherapy. The endpoint of this study was receiving durvalumab within 45 days after chemoradiotherapy for NSCLC. Results Twenty-five of 34 (73%) patients received immunotherapy within 45 days after chemoradiotherapy. The reasons for not receiving immunotherapy were radiation pneumonitis (50%), radiation esophagitis (10%), and four other reasons (40%). Univariate analysis showed that significant factors for not receiving immunotherapy were elective nodal irradiation (ENI)+ and chronic obstructive pulmonary disease (COPD)+. The rate of immunotherapy was 100% (17/17 cases) in the COPD- and ENI- group, and 16% (1/6 cases) in the COPD+ and ENI+ group. Conclusion ENI for NSCLC complicated with COPD decreased the rate of immunotherapy after definitive chemoradiotherapy.
Published: 2020

17. Did the Expansion of Insurance Coverage for Oral Health Reduce Self-reported Oral Health Inequalities in Korea? Results of Repeated Cross-Sectional Analysis, 2007–2015

Author: Ichiro Kawachi and Nam-Hee Kim
Subjects: Male, inequality, Epidemiology, Cross-sectional study, Oral Health, Insurance Coverage, 0302 clinical medicine, Prevalence, Medicine, 030212 general & internal medicine, Child, Dental Care, media_common, Aged, 80 and over, lcsh:R5-920, self-reported oral health, Dental health, Relative index of inequality, General Medicine, Middle Aged, Nutrition Surveys, income, Child, Preschool, health insurance, Income level, Female, Original Article, Public Health, lcsh:Medicine (General), knhanes, Adult, National Health and Nutrition Examination Survey, Inequality, Adolescent, media_common.quotation_subject, 030209 endocrinology & metabolism, Oral health, 03 medical and health sciences, Young Adult, Environmental health, Republic of Korea, Humans, Healthcare Disparities, Dental Health Services, Aged, Insurance, Health, business.industry, Infant, Newborn, Infant, Health Status Disparities, Cross-Sectional Studies, Socioeconomic Factors, business, Insurance coverage
Abstract: Background: In 2009, the South Korean government expanded universal health insurance to include oral health services. In the present study, we sought to examine whether improved access resulted in a reduction in income-based self-reported oral health inequalities. Methods: We analyzed repeated cross-sectional data from the Korea National Health and Nutrition Examination Survey (KNHANES) waves IV through VI (2007–2015). We analyzed self-reported oral health status among 68,431 subjects. Changes in oral health inequalities across four income levels (low, middle-low, middle-high, and high) were assessed with the Slope Index of Inequality (SII) and the Relative Index of Inequality (RII). Results: The average oral health status of children and adolescents improved the most over the observation period. The absolute magnitude of oral health inequalities (measured by the SII) improved for most groups, with the notable exception of young male adults. By contrast, the ratio of poor oral health between high- and low-income groups (measured by the RII) changed little over time, indicating that relative inequalities remained resistant to change. Conclusions: The expansion of dental health insurance may not be sufficient to move the needle on self-reported oral health inequalities among adults.
Published: 2020

18. Cerebral hemodynamics in the non-alcoholic fatty liver

Author: David Vidal-González, Juan Alberto Nader-Kawachi, Fernando Morales-Ramirez, Guillermo Nahúm López-Sánchez, Luis Arturo Concha-Rebollar, Natalia Nuño-Lámbarri, Misael Uribe, Andrea Rodríguez-Herrera, and Norberto C. Chávez-Tapia
Subjects: Adult, Male, Hepatic steatosis, medicine.medical_specialty, Diastole, Specialties of internal medicine, Left ventricular hypertrophy, 03 medical and health sciences, Cerebral circulation, 0302 clinical medicine, Non-alcoholic Fatty Liver Disease, Internal medicine, medicine.artery, Humans, Medicine, Prospective Studies, Cerebral vascular disease, Endothelial dysfunction, Aged, Inflammation, Hepatology, Pulsatility index, business.industry, Fatty liver, Ultrasonography, Doppler, General Medicine, Cerebral Arteries, Middle Aged, medicine.disease, Cerebral Veins, Coronary arteries, Cross-Sectional Studies, medicine.anatomical_structure, RC581-951, Case-Control Studies, Cerebrovascular Circulation, Pulsatile Flow, 030220 oncology & carcinogenesis, Middle cerebral artery, Cardiology, Female, Vascular Resistance, 030211 gastroenterology & hepatology, Internal carotid artery, business, Resistance index, Blood Flow Velocity
Abstract: Introduction and objectives The association between non-alcoholic fatty liver disease and cerebral hemodynamics arises from cardiovascular damage mechanisms such as endothelial dysfunction, arterial wall increased stiffness, high thickness of the intimate index of the internal carotid artery, left ventricular hypertrophy, left diastolic dysfunction, calcification coronary arteries and increased epicardial fat. The multidirectional relationship between systemic inflammation and lipid metabolism constitutes a common and simultaneous mechanism that causes vascular damage. This study aims to provide insight into the relationship between non-alcoholic fatty liver disease and the function of systemic circulation and cerebral circulation using Doppler ultrasound. Patients and methods Is an observational, cross-sectional, prospective, comparative study conducted at Medica Sur Hospital. Thirty-five patients were selected consecutively. The patients consulted neurological service for various symptoms without severity criteria, such as vertigo, primary headache and balance disturbances. Results There is a difference in the variables mean of the right MCA PI (p = 0.023), left MCA PI” (p = 0.004), and left VA PI (p = 0.036) between the control and NAFLD groups. The correlation analysis between these variables and the CAP showed a positive correlation of the three variables with the CAP, "right MCA PI" (r = 0.384), left MCA PI "(r = 0.509) and" left VA PI " (r = 0.551). Conclusions This study demonstrates a subclinical process of the middle cerebral artery in subjects with NAFLD, which suggests it may be involved in the disease development and points the need to make decisions for this liver manifestation prevention and treatment.
Published: 2020

19. Associations Between Multiple Indicators of Discrimination and Allostatic Load Among Middle-Aged Adults

Author: Jourdyn A. Lawrence, Ichiro Kawachi, Kellee White, Mary T. Bassett, and David R. Williams
Subjects: Adult, Aged, 80 and over, Hypothalamo-Hypophyseal System, Health (social science), Pituitary-Adrenal System, Middle Aged, Article, United States, Cross-Sectional Studies, History and Philosophy of Science, Allostasis, Humans, Biomarkers, Aged
Abstract: The objective of this paper is to examine associations between multiple measures of discrimination (i.e., everyday, lifetime, and appraised burden) and components of allostatic load (AL). We drew on pooled cross-sectional data from the Biomarker Project of the Midlife in the United States study (n = 2118). Ages ranged from 25 to 84 years and included mostly Black (n = 389) and white (n = 1598) adults. Quasi-Poisson models were fit to estimate prevalence ratios for each discrimination measure and high-risk quartiles across seven physiological systems (i.e., sympathetic and parasympathetic nervous system; HPA axis; inflammation; cardiovascular; metabolic glucose; and metabolic lipids) and overall AL scores. In fully adjusted models, everyday discrimination was associated with elevated lipids (aPR: 1.07; 95% CI 1.01, 1.13). Lifetime experiences of discrimination were associated with lower sympathetic nervous system (aPR: 0.82; 95% CI: 0.69, 0.98) and greater cardiovascular risk scores (aPR: 1.17; 95% CI: 1.02, 1.34) among those reporting three or more experiences, as well as increased inflammation (aPR: 1.13; 95% CI: 1.02, 1.25; aPR: 1.28; 95% CI: 1.14, 1.43), metabolic glucose (aPR: 1.35; 95% CI: 1.19, 1.54; aPR: 1.45; 95% CI: 1.24, 1.68), and metabolic lipids (aPR: 1.13; 95% CI: 1.03, 1.24; aPR: 1.28; 95% CI: 1.15, 1.43) scores for those reporting one to two and three or more experiences. Appraised burden yielded nuanced associations with metabolic glucose and parasympathetic nervous system scores. Everyday and lifetime measures were also associated with higher overall AL, though burden of discrimination was only associated with AL among those reporting "a little" burden. While AL summary scores provide insight into the cumulative impacts of discrimination on health, there appear to be distinct physiologic pathways through which varying forms of discrimination contribute to AL and, ultimately, to poorer health. These unique pathways may be useful in identifying potential points of intervention to mitigate the impacts of discrimination on health inequities.
Published: 2022

20. Disparities in the Diagnosis, Treatment, and Survival Rate of Cervical Cancer among Women with and without Disabilities

Author: Jin Young Choi, Kyoung Eun Yeob, Seung Hwa Hong, So Young Kim, Eun-Hwan Jeong, Dong Wook Shin, Jong Heon Park, Gil-won Kang, Hak Soon Kim, Jong Hyock Park, and Ichiro Kawachi
Subjects: Adult, Databases, Factual, cervical cancer, Uterine Cervical Neoplasms, survival, Republic of Korea, Odds Ratio, Humans, Disabled Persons, Registries, Original Research Article, Healthcare Disparities, RC254-282, Early Detection of Cancer, Proportional Hazards Models, Retrospective Studies, treatment, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Hematology, General Medicine, Middle Aged, stage, Survival Rate, Oncology, disability, Female
Abstract: Introduction Not much is known regarding the disparities in cancer care between women with and without disabilities. Objectives The aim of this study was to investigate the potential disparities in the diagnosis, treatment, and survival of women with cervical cancer with and without disabilities. Methods We performed a retrospective cohort study and linked the National Disability Database, Korean Central Cancer Registry, and Korean National Health Insurance claims database. Charlson comorbidity index was used for adjusting the comorbidity. The study population comprised 3 185 women with disabilities (physical/brain, communication, mental, cardiopulmonary, and other impairment) who were diagnosed with cervical cancer and 13 582 age- and sex-matched women without disability who were diagnosed with cervical cancer for comparison. Results Distant metastatic stage (7.7% vs 3.7%) and unknown stage (16.1% vs 7.0%) were more common in cervical cancer women with grade 1 disabilities, compared with women without disabilities. Women with cervical cancer with disabilities were less likely to undergo surgery (adjusted odds ratio (aOR) 0.81, 95% confidence interval (CI) 0.73–0.90) or chemotherapy (aOR 0.86, 95% CI 0.77–0.97). Lower rate of surgery was more evident in patients with physical/brain impairment (aOR 0.46, 95% CI 0.37–0.58) and severe mental impairment (aOR 0.57, 95% CI 0.41–0.81). The overall mortality risk was also higher in patients with disabilities (adjusted hazard ratio (aHR) 1.36, 95% CI 1.25–1.48). Conclusion Women with cervical cancer with disabilities, especially with severe disabilities, were diagnosed at later stages, received less treatment, and had higher mortality rates, compared with patients who lacked disabilities. Social support and policies, along with education for women with disabilities, their families, and healthcare professionals, are needed to improve these disparities.
Published: 2022

21. The risk of fatal bleeding complications in jugular catheterization in patients with coagulopathy: A retrospective analysis of death cases in closed claims and the Medical Accident Investigating System in Japan

Author: Yasuhiro Otaki, Naofumi Fujishiro, Yasuaki Oyama, Naoko Hata, Daisuke Kato, and Shoji Kawachi
Subjects: Male, Pulmonology, Databases, Factual, Health Care Providers, Cardiovascular Medicine, Subclavian Vein, Jugular Vein, Vascular Medicine, Medical Conditions, Japan, Coagulopathy, Medicine and Health Sciences, Medical Personnel, Brachiocephalic Veins, Multidisciplinary, Pneumothorax, Hematology, Middle Aged, Professions, Cardiovascular Diseases, Nephrology, Engineering and Technology, Medicine, Female, Anatomy, Research Article, Biotechnology, Adult, Catheterization, Central Venous, Catheters, Adolescent, Science, Cardiology, Bioengineering, Surgical and Invasive Medical Procedures, Hemorrhage, Veins, Catheterization, Respiratory Disorders, Insurance Claim Review, Young Adult, Signs and Symptoms, Physicians, Medical Dialysis, Humans, Blood Coagulation, Retrospective Studies, Coagulation Disorders, Malpractice, Biology and Life Sciences, Health Care, People and Places, Cardiovascular Anatomy, Blood Vessels, Medical Devices and Equipment, Population Groupings, Clinical Medicine, Jugular Veins
Abstract: BackgroundTo prevent recurrence of medical accidents, the Medical Accident Investigating System was implemented in October 2015 by the Japan Medical Safety Research Organization (Medsafe Japan) to target deaths from medical care that were unforeseen by the administrator. Medsafe Japan analyzed the 10 cases of central venous catheterization-related deaths reported in the system and published recommendations in March 2017. However, the particular emphasis for the prevention of central venous catheterization-related deaths is unclear.MethodsThis study aimed to identify the recommendation points that should be emphasized to prevent recurrence of central venous catheterization-related deaths. We assessed central venous catheterization in 8530 closed-claim cases between January 2002 and December 2016 covered by the medical insurer Sompo-Japan. Moreover, we compared central venous catheterization-related death in closed-claim cases with death in reported cases.ResultsThe background, error type, anatomic insertion site, and fatal complication data were evaluated for 37 closed-claim cases, of which 12 (32.4%) were death cases. Of the 12 closed-claim cases and 10 reported cases, 9 (75.0%) closed-claim cases and 9 (90.0%) reported cases were related to vascular access. Among these, 5 closed-claim cases (41.7%) and 7 reported cases (77.8%) were related to internal jugular vein catheterization (p = 0.28). Coagulopathy was observed in 3 (60.0%) of 5 closed-claim cases and 6 (85.7%) of 7 reported cases.ConclusionsThe risk of internal jugular catheterization in patients with coagulopathy must be carefully considered.
Published: 2022

22. Associations of state-level and county-level hate crimes with individual-level cardiovascular risk factors in a prospective cohort study of middle-aged Americans: the National Longitudinal Survey of Youths 1979

Author: Krisztina Gero, Farzad Noubary, Ichiro Kawachi, Christopher F Baum, Robert B Wallace, Becky A Briesacher, and Daniel Kim
Subjects: hypertension, Adolescent, general diabetes, Hate, General Medicine, Middle Aged, United States, social medicine, Cardiovascular Diseases, Risk Factors, mental disorders, depression & mood disorders, Humans, Medicine, Public Health, Crime, Prospective Studies, Crime Victims, Aged
Abstract: BackgroundThere have been long-standing debates about the potential health consequences of hate crimes over and above other types of crimes. Besides the direct consequences for victims, less is known about whether hate crimes have spillover effects onto the health of local residents.MethodsWe drew data on cardiovascular disease risk factors from middle-aged Americans in the National Longitudinal Survey of Youths 1979 and on hate crimes from the FBI’s Uniform Crime Reports. Employing multivariable logistic regression, we estimated the associations between changes in state/county-level all and group-specific hate crime rates from 2000 to 2006 and incident individual-level diabetes, hypertension, obesity and depressive symptoms from 2008 to 2016. All models controlled for individual-level sociodemographic factors and financial strain, county-level and state-level changes in the total crime rate, the percentage of non-Hispanic Black and Hispanic/Latino residents, and median household income, as well as state-level changes in the percentage of residents aged 65 years or older and the unemployment rate.Results1-SD increases in state-level all and race/ethnicity-based hate crime rates were associated with 20% (OR 1.20, 95% CI 1.05 to 1.35) and 15% higher odds (OR 1.15, 95% CI 1.01 to 1.31) of incident diabetes, respectively. At the county level, a 1-SD increase in the all hate crime rate was linked to 8% higher odds (OR 1.08, 95% CI 1.00 to 1.16) of obesity, while a 1-SD increase in the race/ethnicity-based hate crime rate was associated with 8% higher odds (OR 1.08, 95% CI 1.01 to 1.15) of obesity and 9% higher odds (OR 1.09, 95% CI 1.02 to 1.17) of hypertension. We found no significant associations for depressive symptoms, and no interactions between race/ethnicity-based hate crime rates and individual-level race/ethnicity.ConclusionLiving in areas with higher hate crime rates may confer higher odds of hypertension, diabetes and obesity.
Published: 2022

23. SARS-CoV-2 infection and venous thromboembolism after surgery: an international prospective cohort study

Author: Nepogodiev, Dmitri, Simoes, Joana FF, Elizabeth, Li, Picciochi, Maria, Glasbey, James C, Baiocchi, Glauco, Blanco‐colino, Ruth, Chaudhry, Daoud, Alameer, Ehab, El‐boghdadly, Kariem, Wuraola, Funmilola, Ghosh, Dhruva, Gujjuri, Rohan R, Harrison, Ewen M, Lule, Herman, Kaafarani, Haytham, Khosravi, Mohammad, Kronberger, Irmgard, Leventoğlu, Sezai, Mann, Harvinder, Mclean, Kenneth A, Mengesha, Mengistu Gebreyohanes, Modolo, Maria Marta, Ntirenganya, Faustin, Norman, Lisa, Outani, Oumaima, Pius, Riinu, Pockney, Peter, Qureshi, Ahmad Uzair, Roslani, April Camilla, Satoi, Sohei, Shaw, Catherine, Bhangu, Aneel, Omar, Omar M, Ahmed, Waheed‐ul‐rahman, Argus, Leah, Ball, Alasdair, Bywater, Edward P, Brar, Amanpreet, Dawson, Brett E, Duran, Irani, Elhadi, Muhammed, Jones, Conor S, Kamarajah, Sivesh K, Keatley, James M, Lawday, Samuel, Marson, Ella J, Ots, Riinu, Santos, Irène, Taylor, Elliott H, Trout, Isobel M, Varghese, Chris, Venn, Mary L, William, Xu, Dajti, Irida, Gjata, Arben, Kacimi, Salah Eddine Oussama, Boccalatte, Luis, Cox, Daniel, Townend, Philip, Aigner, Felix, Kronberger, Irmgard Elisabeth, Samadov, Elgun, Alderazi, Amer, Hossain, Kamral, Padmore, Greg, Ramshorst, Gabrielle, Lawani, Ismaïl, Cerovac, Anis, Delibegovic, Samir, Gomes, Gustavo Mendonça Ataíde, Buarque, Igor Lima, Gohar, Muhammad, Slavchev, Mihail, Nwegbu, Chukwuemeka, Agarwal, Arnav, Martin, Janet, Ng‐kamstra, Joshua, Olivos, Maricarmen, Lou, Wenhui, Ren, Dong‐lin, Calvache, Jose Andres, Perez Rivera, Carlos J, Hadzibegovic, Ana Danic, Kopjar, Tomislav, Mihanovic, Jakov, Jiménez, Pablo Mijahil Avilés, Gouvas, Nikolaos, Klat, Jaroslav, Novysedlák, René, Amisi, Nicolas, Christensen, Peter, El‐hussuna, Alaa, Batista, Sylvia, Lincango‐naranjo, Eddy, Emile, Sameh, Sandoval, Danilo Alfonso Arévalo, Dhufera, Hailu, Hailu, Samuel, Mengesha, Mengistu G, Kauppila, Joonas H, Arnaud, Alexis P, Demetrashvili, Zaza, Albertsmeier, Markus, Lederhuber, Hans, Löffler, Markus W., Acquah, Daniel Kwesi, Ofori, Bernard, Tabiri, Stephen, Metallidis, Symeon, Tsoulfas, Georgios, Aguilera‐arevalo, Maria‐lorena, Recinos, Gustavo, Mersich, Tamás, Wettstein, Dániel, Kembuan, Gabriele, Milan, Peiman Brouki, Khosravi, Mohammad Hossein, Mozafari, Masoud, Hilmi, Ahmed, Mohan, Helen, Zmora, Oded, Gallo, Gaetano, Pata, Francesco, Pellino, Gianluca, Fujimoto, Yuki, Kuroda, Naoto, Abou Chaar, Mohamad K., Ayasra, Faris, Fakhradiyev, Ildar, Hamdun, Intisar Hisham Said, Jin‐young, Jang, Jamal, Mohammad, Karout, Lina, Gulla, Aiste, Rasoaherinomenjanahary, Fanjandrainy, Samison, Luc Hervé, Sánchez, Iran Irani Durán, Gonzalez, Diana Samantha, Martinez, Laura, Martínez, María José, Nayen, Alejandra, Medina, Antonio Ramos‐De, Nunez, Jade, Nashidengo, Pueya Rashid, Shah, Rakesh, Shrestha, Ashish Lal, Jonker, Pascal, Kruijff, Schelto, Noltes, Milou, Steinkamp, Pieter, Wright, Deborah, Abdur‐rahman, Lukman, Ademuyiwa, Adesoji, Adisa, Adewale, Osinaike, Babatunde, Seyi‐olajide, Justina, Williams, Omolara, Williams, Emmanuel, Pejkova, Sofija, Al Balushi, Zainab, Sayyed, Raza, Mohsen, Mustafa Abo, Abukhalaf, Sadi A., Cukier, Moises, Gomez‐fernandez, Hugo, Yip, Sebastian Shu, Ojeda, Ximena Paola Vasquez, Sacdalan, Marie Dione, Major, Piotr, Azevedo, José, Cunha, Miguel F., Zarour, Ahmad, Bonci, Eduard‐alexandru, Negoi, Ionut, Efetov, Sergey, Kochetkov, Viktor, Litvin, Andrey, Ingabire, Jc Allen, Bucyibaruta, Georges, Faustin, Ntirenganya, Habumuremyi, Sosthene, Imanishimwe, Alphonsine, Dieu, Haragirimana Jean, Munyaneza, Emmanuel, Ncogoza, Isaie, Ndong, Abdourahmane, Radenkovic, Dejan, Chew, Min Hoe, Koh, Frederick, Ngu, James, Panyko, Arpád, Bele, Uros, Košir, Jurij Aleš, Daoud, Hassan, Bravo, Ana Maria Minaya, Jayarajah, Umesh, Wickramasinghe, Dakshitha, Adam, Mohammed Elmujtba Adam Essa, Rutegård, Martin, Sund, Malin, Adamina, Michel, Gialamas, Eleftherios, Horisberger, Karoline, Alshaar, Muhammad, Huang, Abel, Lohsiriwat, Varut, Charles, Shane, Jlassi, Haithem, Isik, Arda, Lekuya, Hervé Monka, Kopetskyi, Slava, Alsaadi, Hayder, Alshryda, Sattar, Alser, Osaid, Bankhead‐kendall, Brittany, Breen, Kerry, Mashbari, Hassan, Cal, Fernando Bonilla, Al‐naggar, Hamza, Maimbo, Mayaba, Mazingi, Dennis, Abbott, Tom, Akhbari, Melika, Benson, Ruth, Bhanderi, Shivam, Biccard, Bruce, Caruana, Edward, Chakrabortee, Sohini, Chapatwala, Reema, Costas‐chavarri, Ainhoa, Demetriades, Andreas K, Desai, Anant, Di Saverio, Salomone, Drake, Thomas, Edwards, John, Evans, Jonathan, Fiore, Marco, Ford, Samuel, Fotopoulou, Christina, Fowler, Alexander, Futaba, Kaori, Ganly, Ian, James, Harelimana Grace, Griffiths, Ewen, Gronchi, Alessandro, Hutchinson, Peter, Hyman, Gabriella Yael, Incorvia, Joseph, Jain, Ritu, Jenkinson, Michael, Khan, Tabassum, Knight, Stephen Richard, Kolias, Angelos, Kudsk‐iversen, Søren, Kwan, Tsun Yu, Leung, Elaine, Mayol, Julio, Mckay, Siobhan, Meara, John G., Mills, Emily, Moug, Susan, Patel, Akshay, Perinotti, Roberto, Rice, Henry E., Roberts, Keith, Schache, Andrew, Shaw, Richard, Smart, Neil, Stephens, Matthew, Stewart, Grant D., Teasdale, Ella, Vaughan‐shaw, Peter, Vidya, Raghavan, Wright, Naomi, Zimmelman, Natalie, Agastra, Ervis, Thereska, Dariel, Lucchini, Sergio Martin, Laudani, Veronica, Chwat, Carina, Salazar, Ivana Ines Pedraza, Pantoja Pachajoa, Diana Alejandra, Duro, Agustin, Arancibia, José Alfredo Calderón, D’Aulerio, Giuliana, Dudi‐venkata, Nagendra, Egoroff, Natasha, Farik, Shebani, Lott, Natalie, Moss, Jana‐lee, Rennie, Sarah, Tan, Lorwai, Uyen Giao, Vo, Watson, David, Watters, David, Bright, Tim, Hollington, Paul, Zhou, Xuanyu, Kroon, Hidde M, Farfus, Anthony, Barker, John, Watson, Eleanor, Stevens, Sean, Latif, Haider, Dawson, Amanda Caroline, Chuan, Alwin, Muralidharan, Vijayaragavan, Wong, Enoch, Ackermann, Travis, Pacilli, Maurizio, Hodgson, Russell, Heriot, Alexander, Choong, Peter, Brown, Wendy, Lidder, Surjit, Yeung, Justin, Traeger, Luke, Regalo, Guillermo, Gourlay, Ralph, Badiani, Sarit, Koh, Cherry, Putnis, Soni, Haider, Fayza, Mitul, Ashrarur Rahman, Komen, Niels, Dhondt, Bert, Cappeliez, Serge, Pigeolet, Manon, Schoneveld, Martijn, Stijns, Jasper, Oosterlinck, Wouter, Flamey, Nicolas, Kpangon, Cyrille, Agbadebo, Mouhamed, Tobome, Smèvo Romaric, Barros, Aldo Vieira, Júnior, Samuel Aguiar, Amaral Campos, Heloisa Galvão, Gross, Jefferson, Coimbra, Felipe José Fernandez, Kowalski, Luiz Paulo, Makdissi, Fabiana, Nakagawa, Suely, Neto, Joao Pedreira Duprat, Vartanian, Jose Guilherme, Yazbek, Guilherme, Zequi, Stenio C, Flumignan, Ronald, Jaworska, Natalia, Dell, Angela, Shanthanna, Harsha, Behzadi, Abdollah, Nessim, Carolyn, Mozel, Michelle, St‐germain, Pascal, Russell, Crispin, Groot, Gary, Safieddine, Najib, Wijeysundera, Duminda, Eskander, Antoine, Chadi, Sami, Mackenzie, Shawn, Flexman, Alana, Heredia, Fernando, Villanueva, Julio, Waissbluth, Sofia, Macchiavello, Roberto, Escudero, Mario I, Fuentes, Tyare, Mimica, Ximena, Saenz, Dinimo Bolivar, Caicedo, Lina, Alzate, Juan Pablo, Luna, Joaquin, Alonso, Nestor Fabian Pedraza, Silva, Camilo Ortiz, Rodriguez, Juliana, Silva‐igua, Liliana, Torres, Martha Luz, Trujillo, Lina María, Calvache, Albaro José Nieto, Balanta‐melo, Julián, Figueroa‐casanova, Rafael, García‐montoya, Oscar‐julián, Toro, Carlos Andres Marulanda, Botero, Marcela Velez, Arango, Maria Clara Mendoza, Martinez, Eneida Diaz, Perdomo, Valentina Gutiérrez, Montenegro, Emileth, Rodriguez‐abreu, Julia, Mejía, Dolores, Abouelnagah, Galal, Shehata, Sameh, Rida, Ahmed Hossam Eldin Fouad, Hassan, Ramy A., Saad, Mahmoud M., Loaloa, Mohamed Reda, Mostafa, Badr, Qassem, Mohamed, Fahmy, Mohamed, Abozied, Hesham, Azzam, Ahmed Y, Ghozy, Sherief, Sallam, Asser, Shehta, Ahmed, Abdelkhalek, Mohamed, Samaka, Rehab, Morsy, Amr, Sherif, Ahmed Elshawadfy, Negussie, Abraham, Fisseha, Tigist, Shumbash, Kibruyisfaw, Abebe, Metasebia, Yasin, Seid Mohammed, Akililu, Yemisirach Bizuneh, Megersa, Abebe, Tefera, Teshome, Assefa, Melatework, Atnafu, Bahru, Tsegaye, Bereket, Bezabih, Yoseph Solomon, Sisay, Silamlak, Bekele, Kebebe, Jira, Moa, Derilo, Habtamu, Degefa, Eyueal, Tadesse, Anteneh, Nidaw, Melkamu, Sarjanoja, Elise, Testelin, Sylvie, Boucher, Sophie, Jouffret, Lionel, Lakkis, Zaher, Le Bian, Alban Zarzavadjian, Harper, Luke, Déserts, Marc Danguy, André, Benoît, Slim, Karem, Verhaeghe, Romain, Police, Andrea, Girard, Edouard, Chebaro, Alexandre, Nkembi, Armande Subayi, Arnalsteen, Laurent, Ballouhey, Quentin, Mege, Diane, Jeandel, Clement, Duchalais, Emilie, Bouche, Pierre‐alban, Manceau, Gilles, Crétolle, Célia, Hervieux, Erik, Girard, Noémie, Seguin‐givelet, Agathe, Gaujoux, Sebastien, De Simone, Belinda, Boisson, Matthieu, Bergeat, Damien, Fredon, Fabien, Nappi, Francesco, Kassir, Radwan, Scalabre, Aurélien, Migliorelli, Federico, Ezanno, Anne‐cecile, Seeliger, Barbara, Vaysse, Charlotte, Charbonneau, Helene, Misrai, Vincent, Abbo, Olivier, Angeles, Martina Aida, Brunaud, Laurent, Modabber, Ali, Wolf, Sebastian, Kamphues, Carsten, Höhn, Philipp, Glowka, Tim R., Rokohl, Alexander Christopher, Bork, Ulrich, Fluegen, Georg, Horch, Raymund E., Schmedding, Andrea, Schnitzbauer, Andreas, Eberbach, Helge, Schlager, Daniel, Spelsberg, Fritz, Keppler, Lena, Hecker, Andreas, Wolfer, Susanne, Ronellenfitsch, Ulrich, Nitschke, Christine, Peiper, Christian, Hakami, Ibrahim, Welter, Stefan, Nikolaieva, Karine, Roth, Andreas, Lindert, Judith, Gousias, Konstantinos, Rissmann, Anke, Linz, Valerie Catherine, Rahbari, Nuh, Rassweiler‐seyfried, Marie‐claire, Gut, Anna Eleonora, Gempt, Jens, Reim, Daniel, Wagner, Arthur, Keppler, Alexander M., Stoleriu, Mircea Gabriel, Saier, Tim, Stadler, Josef, Kaiser, Julia Christina, Brunner, Stefan M., Pfister, Karin, Herzberg, Jonas, Nowak, Kai, Reinhard, Tobias, Stavrou, Gregor A., Königsrainer, Alfred, Konrads, Christian, Quante, Markus, Laban, Simon, Pusch, Silke, Hirschburger, Markus, Doerner, Johannes, Wiegering, Armin, Tampaki, Ekaterini Christina, Ruiz, Alitza Gutiérrez, Rodas, Alejandra, Portilla, Ana Lucía, Carrera, 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Vivek, Maji, Suvendu, Basu, Somprakas, Mahakalkar, Chandrashekhar, Kannan, Ravi, Mehraj, Asif, Ranganath, N, Phadnis, Ashish, Yadev, I, Kavalakat, Alfie, Mittal, Rohin, Vallam, Karthik Chandra, Akhavizadegan, Hamed, Maleki, Esmaeil Rezghi, Kandevani, Naser Yousefzadeh, Ikele, Hilary, Mcnestry, Catherine, Fleming, Christina, O’Brien, Stephen, Elwahab, Sami Abd, Davis, Niall, Javadpour, Mohsen, Mcdonnell, Brendan, Connor, Clare O, Bolger, Jarlath, Clancy, Cillian, Croghan, Stefanie M, Donlon, Noel, Cullinane, Carolyn, Creavin, Ben, Muheilan, Muheilan, Earley, Helen, Kabir, Syed Mohammad Umar, Fahadullah, Muhammad, Ryan, Éanna, Connelly, Tara, Hashimoto, Daisuke, Alqudah, Majdi Ali, Alajalen, Amer, Omari, Rand Y., Qasem, Abdulrahman, Alawneh, Yazan, Ahmad, Amer, Aladawi, Omar, Alrayes, Bourhan, Haidar, Hanan, Husain, Shatha, Qassem, Faisal, Sumadi, Adnan, Salhiyeh, Ala’a Abu, Al‐manaseer, Balqees Mahmoud, Alsunna, Zaid, Ra’Ed, Hazim, Hamad, Faten Reyad Bani, Abuleil, Amro, Jimaale, Elmi Ahmed Mohamed, Abu‐mehsen, Marah, Olaywah, Noor, Wafi, Omar, Ababneh, Hazim, Abu‐ismail, Luai, Khamees, Almu’Atasim, Alkhatib, Ahmad, Bolatbekova, Raikhan, Kulimbet, Mukhtar, Nurgozhin, Talgat, Saliev, Timur, Zhussupov, Baurzhan, Almabayev, Ydyrys, Kaidarova, Dilyara, Tamoos, Khalil, Aqeelah, Ahmed, Mohammed, Alsnosy Abdullah Khalefa, Al Maadany, Faraj, Alkadeeki, Ghadah, Gahwagi, Milad, Aldressi, Wafa, Amnaina, Mohamed, Alansari, Arowa Hassan Abdulrahman, Alkaseek, Akram, Yagoub, Ghozlan, Amer, Anass Ben, Salem, Marwa, Almugaddami, Ayman, Burgan, Dania, Abdelkabir, Mohammed, Alshareef, Khayriyah, Islam Ben Jouira, Rayet, Meelad, Ayman, Bouhuwaish, Ahmad, Dwaga, Sumayya Essayah, Khalifa, Houda, Almiqlash, Bushray, Suliaman, Taha, Alawami, Mohammed, Elhajdawe, Fras, Aboazamazem, Hajir, Ellojli, Ibrahim, Msherghi, Ahmed, Saleh, Ismail Ali, Alayan, Mohammed, Ndayishyigikiye, Marcel Didier, Munyika, Akutu, Plarre, Philipp, Borowski, David W, Wells, Cameron, Teague, Rebecca, Elliott, 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Muhammad Usman, Yaqoob, Hassan Nawaz, Pacheco, Glenda Marina Falcon, Melendez, Robinson Mas, Urbina, Arazzelly Del Pilar Paucar, Chiuyari, Jose Rios, Alvarado, Carlos Eduardo Otiniano, Lau, Lorena Fuentes Rivera, Borda‐luque, Giuliano, Niquen‐jimenez, Milagros, Arias, Claudia, Zegarra, Sergio, Pallardel, Jenner Betalleluz, Oscco, Regina Amparo Ugarte, Mendiola, Gian, Colmenares, Yahaira Tatiana Carpio, Zapata, Carlos Shiraishi, Ortiz, Maria Rosa, Borges, Filipe Castro, Viveiros, Octavio, Serralheiro, Pedro, Santos‐costa, Paulo, Mendes, Filipa, Melo, Miguel Rocha, Cardoso, Paulo, Soares, Ana, Pereira, Rita Gonçalves, Silva, Nelson, Caiado, André, Sacras, Maria Luís, Azevedo, Pedro, Almeida‐reis, Rui, Oliveira, João, Nogueiro, Jorge, Sampaio‐alves, Mafalda, Costa, Luciana Cidade, Baía, Catarina, Deus, Ana Cláudia, Branquinho, Rita, Marçal, André, Tojal, André, Makkai‐popa, Silviu Tiberiu, Mironescu, Aurel, Grama, Florin, Toma, Elena Adelina, Filipescu, Daniela, Bacalbasa, Nicolae, Motas, Natalia, Ionescu, Sebastian, Ginghina, Octav, Costea, Radu, Zarnescu, Narcis Octavian, Drasovean, Radu, Dimofte, Mihail‐gabriel, Porumb, Vlad, Kirov, Mikhail, Molitvin, Yegor, Pykhteev, Vadim, Raevskaya, Marianna, Butyrskii, Aleksandr, Alshahrani, Mushabab, Althumairi, Azah, Alzerwi, Nasser, Al Ameer, Ahmed, Madkhali, Tariq, Almulhim, Abddulrahman Saleh, Ghazwani, Salman, Ayoub, Abdu, Iskander, Othman, Ghunaim, Mohammed, Alharthi, Mohammed, Alzaidi, Turki M, Alyami, Mohammad, Al Amri, Abdulrahman, Alfakhri, Abdullah, Alhefdhi, Amal, Chowdhury, Sharfuddin, Nouh, Thamer, Alshehri, Ameen, Alzahrani, Abdulrahman, Alalawi, Yousef, Awad, Selmy, Konate, Ibrahima, Tendeng, Jacques, Teo, Nan Zun, Aqil, Sabra, López, Cristina Barrena, Mozo, Ana Sánchez, Infante, Antonio Rodriguez, Vivancos, Patricia Caja, Prieto, Mikel, Roman, Igor Alberdi San, Fernandez, Laura Gomez, Vives, Josep Maria Muñoz, Carreras‐castañer, Anna, Díaz‐feijoo, Berta, Sieira‐gil, Ramon, Turrado‐rodriguez, Victor, López, Anna Sánchez, Sánchez‐cabús, Santiago, Toscano, Marta Jimenez, Sin, MªPilar Canals, Laura, Saura García, Sole, Oriol Martin, Bellver, Pedro Palazon, Pérez‐bertólez, Sonia, Prat‐ortells, Jordi, Martínez, Mireia Riba, Rubio‐palau, Josep, Tarrado, Xavier, Nuñez, Jorge, Mendoza, Veronica Alonso, Bescós, Coro, Espin‐basany, Eloy, Espinosa‐bravo, Martin, Gil‐sala, Daniel, González‐suárez, Susana, Estruch, Nuria Montferrer, Mariño, Lucia Porteiro, Rodríguez‐tesouro, Ana, Portilla, Fabian Rojas, Pérez, M Pilar Tormos, Vives, Inmaculada, De Cortazar, Unai Garcia, Tudela, Kiara, Landaluce‐olavarria, Aitor, Gómez, Mercedes Estaire, Almoguera, Jorge, Ugarte‐sierra, Bakarne, Jimenez, Virginia, Bertrand, Marta, Puiggrós, Laura Cárdenas, Delisau‐puig, Olga, Garcia‐adamez, Jorge, Bergkvist, David Julià, Maldonado‐marcos, Eloy, García, Lucia Diego, Golet, Marta Roldón, Soto‐darias, Iván, Rahy‐martín, Aida Cristina, Enjuto, Diego, Ramos‐luengo, Adolfo, Fernandez, Juan Delgado, Duarte, Carolina Lugo, Thies, 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Heura Llaquet, Colás‐ruiz, Enrique, Romera, Susana Bella, Pellicé, M. 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Vincenzo, Marcela, Gallino, Esteban Sebastian, Gigena, Cecilia, Grassano, Bianca, Lugones, Ignacio, Madrid, Constanza, Maricic, Maximiliano, Martinez, Antonio Alberto, Rosso, Andres, Scher, Pablo, Tachella, Sofia, Zezular, Damaris Idara Anabel, Abuawad, Carla, Forneris, Agustin Albani, Allemand, Carola, Calzaretta, Laura Gisela Alvarez, Boretto, Jorge G., Boudou, Rocio, Brandariz, Rodrigo, Buljubasich, Martin, Burchakchi, Arturo, Buttaro, Martin, Campana, Juan Pablo, Busnelli, Virginia Cano, Carminatti, Tomas, Lalín, Agustina Florencia Castro, Cereghini, Julian, Amor, María Sol Crespi, Croattini, Roberto Sebastián, Fernandez, Maria Sol, Figari, Marcelo, Fraidenraij, Uriel, Gallegos, Diego, García‐mansilla, Agustín Maria, Gonzalez, Marcos, Gonzalez, Matias Ignacio, Salazar, Esteban Gonzalez, Goransky, Jeremias, Gauna, Guillermo Hernandez, Higuera, Felipe, Holc, Fernando, Jauregui, Esteban Gabriel, Larrañaga, Juan, Liyo, Juan, Llano, Lionel, Lobos, Pablo, Luzzi, Emilia, Mastroianni, 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Moller, Cea‐cea, Neo, Eu Nice, Neo, Eu Ling, Nguyen, Alain, Prasad, Shalvin, Roy, Jennifer, Russell, Christine, Sammour, Tarik, Smith, Nicholas, Smith, Richard, Stranz, Conrad, Tourani, Saam, Tran, Steven, Van de Ven, Lucinda, Warren, Leigh, Whitfield, Robert, Wormald, Jamie, Yin, Yijie, Bierton, Christopher, Cribb, Benjamin, Foley, Katarina, Ong, Daniel, Watson, Matthew, Hampton, Jacob, Karam, James, Rugendyke, Anya, Zhang, Tyson, Vasey, Carolyn, Apellaniz, Eduardo, Frankel, Adam, Gahan, Lara, Guerra, Glen R, Liesegang, Amanda, Lutton, Nicholas, Maurice, Andrew, Miron, Scott, Prasad, Aveechal, Sercombe, Ashleigh, Sivapalan, Thanusan, Ahmad, Syed Danial Syed, Tee, Chin Li, Yaksich, Lachlan, Batstone, Martin, Breik, Omar, Young, Thomas, Field, Michael, Scott, Benjamin, Charlton, Gabriella, Chen, Si, Cheung, Henry Yan Chi, Gauri, Neha, Hayhurst, Ross, James, Sophie, Jang, Seyoung, Jia, Fangzhi, Zhang, Helen, Aujla, Randeep, Finsterwald, Michael, Percy, Digby, Tanaya, Alvin, Trivedi, Anand, Aylett, Andrew, Grills, Richard, Holmes, Angela, Kwok, Matthew Ming Kei, Lambers, Anton, Lambers, Leo, Lok, Evania, Nagra, Sonal, Page, Richard, Paltoglou, Nicholas, Panuganti, Vishwakar, Riddell, Sophie, Rudock, Gareth, Tan, Hannah, Underwood, Kirk, Youssef, Daniel, Amoils, Ricci, Bahtigur, Nazli, Bengeri, Savitha, Builth‐snoad, Lily, Cheah, Hock Ping, Chen, Paul, Chew, Kenneth, Chong, Alyssa, Clark, Sara, Kaul, Rhea Darbari, Devan, Eliya, Ewington, Christina, Fatima, Aleeza, Fitt, Sophia, Gaul, John, Ghosal, Paloma, Gojnich, Amy, Gunawardena, Indu, Hamer, Peter, Holmes, Samuel, Hou, Zhen, Jolly, Danielle, Kane, James Dimitri, Kaufman, Micayla, Khandelwal, Tanishq, Khanijaun, Sukhwant, Kwok, Kelvin, Latif, Edward, Laura, Sharon, Lee, Vivian, Leung, Catherine, Liang, Ina, Lin, Peter, Lun, Elizabeth Weng Yan, Luo, Haili, Victor, Ly, Jolande, Ma, Macnab, Brooke, Mcgee, Richard, Miles, Stephanie, Munro, William, Narroway, Harry, Ngan, Tin Yau, Noor, Anthony, Pahalawatta, Upuli, Park, Melissa, Parkin, Cameron, Poon, Rita, Somasundaram, Shanmugam S, Saab, Claudia, Simpson, Renwick, Steinel, Dana, Taylor, Emily, Tchen, Adrian, Thong, Shu, Tran, Kelvin, Tree, Kevin, Vance, Lucille, Wong, Ken, Victor, Yu, Zhang, Michael, Cox, Aram, Tan, David Chi Hau, Thani, Nova, Das, Shefali, Macdonald, Taigh, Salama, Paul, Sandhu, Gagandeep, Shadbolt, Rachel, Phan, Du, Townend, David, Eunmaro, Ju, Lee, Sang Mi, Barnett, Stephen, Kheslat, Hajar Hasan, Higgins, Andrew, Jamieson‐grigg, Chloe, Jenkins, Victoria, Larner, Brett, Perini, Marcos, Proud, David, Qin, Kirby, Riddiough, Georgina, Seevanayagam, Sivendran, Damien M., Wu, Zhao, Chris, Aggarwal, Sonali, Vinna, An, Battershell, Melanie, Chan, Elliot, Cheung, King Tung, Drake, Anna, Goonawardena, Janindu, Hunt, Benjamin, Christopher, Ip, Iyer, Vikram, Jain, Anshini, Kealey, Joshua, Lew, Chen, Lim, Christopher Seng Hong, Luck, Tara, Mackay, Sean, Maher, Natalie, Maroske, Georgia, Roubos, Nicholas, Sengupta, Shomik, Steen, Christopher, Tsigaras, Zac, Tuttle, Zachary, Ward, Salena, Williams, Marli, Yeap, Evie, Zhou, Jessie, Coates, Amy, Mutalima, Nora, Tran, Ton, Nataraja, Ramesh, Sharpin, Claire, Bird, David, Choy, Kay Tai, Condron, Sarah, Daruwalla, Jurstine, Anjos, Isabela, El‐khoury, Hanna, Fabian, Robert, Gillard, Andrew, Greenop, Rebecca, Issa, Michael, Lee, Sharon, Mori, Krinal, Petrakis, Nikki, Qureshi, Maryum, Sabella, Danielle, Satasivam, Prassannah, Sathianathen, Niranjan, Seow, Sean Ezekiel, Shen, Amanda, Shi, Margaret, Tabassum, Meher, Teixeira, Rodrigo, Vivian‐taylor, Josephine, Wheatley, Jennifer, Shepherd, Sally, Soucisse, Mikael, King, Sebastian, O’Connor, Brendan, Teague, Warwick, Banting, Simon, Chong, Lynn, Clatworthy, Sharnel, Cochrane, Angela, Fox, Adrian, Hii, Michael Wei, Isaacs, Anna, Johnson, Mary Ann, Knowles, Brett, Newcomb, Andrew, Price, Veronique, Raman, Jaishankar, Read, Matthew, Rowcroft, Alistair, Taylor, Lillian, Wright, Gavin, Chana, Prem, Shaw, Kalai, Bock, Jacob, Cory, Jordan, Drummond, Katharine, Lahy, Jack, Mcintire, Thomas, Price, Benjamin, Stark, Claire, Besson, Alex, Gartrell, Richard, Lauritz, Brianne, Nguyen, Ha My Ngoc, Ong, Chui Foong, Pitcher, Meron, Scullion, Lorna, Tang, Howard, Taylor, Danielle, Wolf, Brigid, Wichmann, Matthias, Davis, Amelia, Maurel, Amelie, Raubenheimer, Kyle, Campbell, Cassidy, Colaco, Ashley, Machado, Maria Julia Corbetta, Heffernan, Abbie, Karihaloo, Costa, Ludbrook, Isabella, Park, Sean SW, Peerally, Bibi Nabeeha, Singhai, Camila, Stevens, Heidi, Vavilov, Sergey, Aubin, Anne‐marie, Harris, Margaret, Lim, Zhi Ying, Spring, Rebecca, Stieler, Melissa, Barnes, Nicholas Adamson, Alam, Ahmad Seraj, Alsoudani, Ali, Amico, Francesco, Anning, Rebecca, Balogh, Zsolt J., Blatt, Alison, Cairns, Scott, Carroll, Jesse, Caterson, Andrew, Christie, Adam, Cope, Daron, Dale, Tyson, Dennis, Grace, Duggal, Anchal, Ennis, Brendan, Fenton, Mark, Yi Xin Joanna, Fu, Galevska‐dimitrovska, Ana, Gani, Jonathan, Gelzinnis, Scott, Gramlick, Madelyn, Hadlow, Claudia, Hardstaff, Ruth, Heer, Munish, Holmes, Merran, Hone, Bridget, Sophie, Hu, Huang, Linna, Iqbal, Ramiz, Jefferson, Niall, Kasthurirathne, Dimithi, Kuo, Stephen, Lau, Wayne Yan, Liang, Hsin‐ping, Lim, Daniel, Lin, Rosalina, Mcdonogh, Jack, Mcilwain, Elysse, Ming, Yan Joyce, O’Neill, Christine, Ocsan, Ryan James, Oosthuizen, Benjamin, Organ, Nicole, Otieno, James, Park, Felicity, Paterson, Amanda, Cerdeira, Marisol Perez, Peters, Luke, Petersson, Josefin, Rubbo, Sonia, Siribaddana, Venesa, Thurairajah, Kabilan, Ting, Caleb, Watson, Antonia, Way, Teagan, Wiadji, Elvina, Willoughby, Ellisha, Bailey, Ashley, Broadbent, Samuel, Narayanan, Viswanathan, Stephens, Samuel, Wilkes, Anna, Zhao, Jie, Ballal, Mohammed, D’Souza, Carl, Forbes, Clara, Goss, Matthew, Haddleton, Monique, Harty, Jacinda, Hayne, Dickon, Hew, Nicole, Koh, Wee Ling, Lee, Shawn, Malik, Shahbaz S, Abdul, Naseer Mohammed, Richards, Toby, Seow, Yi Th Ng, Wong, James, Archer, Leigh, Azaman, Nur Sabrina Binti Babe, Dilevska, Tina, Foo, Jonathan, Hans, Tasvinder, Jansen, Shirley, Kumar, Mohit, Leeson, Christopher, Pham, Terence, Pineda, Fernando Picazo, Rajakumar, Saravanan, Suk‐udom, Supisara, Tan, Jonathan, Thurston, Benjamin, Zhao, Bichen, Gupta, Shivangi, Hou, Lachlan, Jeyamanoharan, Nivedan, Leigh, James, Poh, Wei Shearn, Sala, Michael, Crothers, Rebecca, Dravid, Madhulika, Harrison, Ben, Islam, Sumayya, Mccartney, Conor, Nel, Henco, Pearson, Natasha, Apostolou, Christos, Berney, Christophe, Chou, Richard, Hanna, Sam, Lam, Andrew, Vanessa, Ma, Phanse, Salonee Shubhen, Elliott, Michael, Phung, Daniel, Barry, Jessica, Clark‐mackay, Eleanore, Cope, Jennifer, Halliwell, Richard, Chen, Ji, De Robles, Marie Shella, Llorando, Alyssa, Mahin, Humaira Haider, Rao, Dominic, Syed, Faisal, Abulafia, Daniel, Buckland, Benjamin, Cordingley, Timothy, Debiasio, Ashe, Drane, Andrew, Ireland, Patrick, Julien, Benji, Lan‐hoa, Le, Lee, Austin Yeon Suk, Loh, Eu Jhin, Middleton, Andrew, Mortimer, Brienna, Sebastian, Samuel, Short, Brooke, Stewart, Peter, Ruyven, Stephanie, Wong, Daniel, Zhang, Charry, Zhu, Bonnie, Ziaziaris, William, Leitner, Aran, Tolzman, Lukas, Zitt, Matthias, Rakos, Gergely, Székely, György, Djedovic, Gabriel, Königsrainer, Ingmar, Allmer, Caterina, Herritsch, Barbara, Mitteregger, Martin, Schauer, Christian, Seitinger, Gerald, Siebenhofer, Carmen, Uranitsch, Stefan, Duller, David, Mathew, Erwin, Skias, Christoph, Andrianakis, Alexandros, Belarmino, Armin, Brinskelle, Petra, Castellani, Christoph, Cohnert, Tina, Fediuk, Melanie, Fink, Andrea, Holzmeister, Clemens, Kahn, Judith, Kresic, Josip, Leithner, Andreas, Lindenmann, Joerg, Lumenta, David, Michelitsch, Birgit, Mikalauskas, Saulius, Nischwitz, Sebastian P., Puchwein, Paul, Roj, Andrej, Schemmer, Peter, Singer, Georg, Smolle‐juettner, Freyja‐maria, Till, Holger, Wolf, Axel, Andraschofsky, Tibor Oliver, Angerer, Rafael, Arco, Daniel, Kaufmann, Claudia, Kilic, Nura, Widschwendter, Peter, Angermann, Reinhard, Bauer, Marlies, Bergmann, Nicole, Freyschlag, Christian, Gisinger, Martin, Gollmann‐tepeköylü, Can, Graber, Michael, Haim, Alexander, Harasser, Carina, Härter, Bettina, Hirsch, Jakob, Hofer, Markus, Holfeld, Johannes, Huber, Anna Lena, Kralinger, Martina, Krappinger, Dietmar, Kuen, Marlene, Liebensteiner, Michael, Messner, Franka, Messner, Alex, Naegele, Felix, Ninkovic, Marijana, Nowosielski, Yvonne, Osl, Antonia, Ower, Cornelia, Pölzl, Leo, Rauchegger, Teresa, Reimer, Daniel, Riecke, Johannes, Schwabegger, Anton H., Sokolovski, Filipp, Strimmer, Anna, Süss, Markus, Thaler, Martin, Umlauft, Julian, Zehetner, Claus, Zeimet, Alain G., Allerstorfer, Jakob, Haslhofer, David, Hofer, Daniel, Luger, Matthias, Pisecky, Lorenz, Poier, Nikolaus, Rubicz, Nina, Schmolmüller, Christoph, Zwittag, Paul, Rossmann, Tobias, Ruiz‐navarro, Francisco, Stefanits, Harald, Elsayed, Hend, Habertheuer, Peter, Hajkova, Tereza, Loidl, Wolfgang, Luger, Ferdinand, Windischbauer, Amadeus, Fischer, Ines, Függer, Reinhold, Kirchweger, Patrick, Saini, Thomas, Berger, Julian, Fraz, Wolfgang, Nia, Arastoo, Kenez, Mihaly, Nichita, Margit, Magele, Astrid, Mayr, Thomas, Noe, Chiara, Bittner, Reinhard, Borhanian, Kurosch, Dornauer, Isabella, Emmanuel, Klaus, Gabersek, Ana, Gantschnigg, Antonia, Grechenig, Michael, Gruber, Ricarda, Hutter, Jörg, Jäger, Tarkan, Koch, Oliver, Lechner, Michael, Manzenreiter, Lisa, Mayer, Franz, Muehlbacher, Iris, Presl, Jaroslav, Rezaie, Daniel, Schredl, Philipp, Varga, Martin, Weitzendorfer, Michael, Wimmer, Angela, Brunner, Eberhard, Cillia, Michael, Gruber, Michaela, Grünbart, Martin, Heinrich, Elmar, Hoi, Hannes, Kemmetinger, Vanessa, Mittermair, Christof, Mosshammer, Victoria, Obrist, Christian, Paal, Peter, Roesch, Judith, Russe, Elisabeth, Schaetz, Tobias, Schirnhofer, Jan, Schwaiger, Karl, Wechselberger, Gottfried, Weiss, Helmut, Lanner, Maximilian, Binder, Alf‐dorian, Gürtler, Thomas, Fink, Marcus, Reichhold, Daniel, Stoyanova, Radoslava, Beitl, Klara, Bernardi, Martin H., Datler, Philip, Dawoud, Christopher, Farr, Alex, Foessleitner, Philipp, Grimm, Christoph, Harpain, Felix, Hoda, Mir Alireza, Holawe, Simone, Kranawetter, Marlene, Ott, Johannes, Perricos, Alexandra, Pesta, Maximilian, Pillerstorff, Robert, Reiterer, Christian, Riss, Stefan, Rosta, Klara, Scheriau, Georg, Tschernko, Edda, Wenzl, Rene, Wiedemann, Dominik, Wohlrab, Peter, Zapletal, Bernhard, Zimmermann, Matthias, Zimpfer, Daniel, Findl, Oliver, Fisus, Andreea, Ruiss, Manuel, Komaz, Melanie, Meindl, Nikolaus, Primavesi, Florian, Stadlbauer, Karl Heinz, Stättner, Stefan, Steiner, Florian, Cerny, Ondrej, Falkensammer, Eva, Knotzer, Hans, Köglberger, Paul, Poidinger, Bernhard, Wiesinger, Clemens Georg, Burtscher, Johannes, Rath, Sebastian, Trivik‐barrientos, Felipe, Aliyeva, Gunay, Behbudov, Vuqar, Muslumov, Gurbankhan, Zeynalov, Natiq, Alam, Mahmood, Alfayez, Fatema, Hasan, Batool, Mahdi, Maryam, Mulla, Husain, Qader, Kawthar, Saeed, Amr, Shirazi, Ahmed, Albastaki, Aysha, Birido, Nuha, Chagla, Hiba Hameed, Dawaishan, Abdulla, Dawaishan, Baheya, Farhan, Abeer, Juma, Isam, Khan, Asher, Patel, Aqsa Mohammad Eqbal, Srinivasan, Madhu, Deen, Fatema Waheed Akbar Mohamad Akbar Nawab, Abdulqadir, Seemal, Jabr, Abdulla, Maqsood, Fauzia, Almoosa, Noora, Naseer, Mai, Alam, Mohammed Shadrul, Basher, AKM Khairul, Islam, Shahnoor, Islam, S. M. Nazmul, Karim, Sabbir, Faisel, Muntasir, Khan, Sadia, Mannan, Iftekhar Ibne, Nazia, Nawshin, Bentham, Malissa, Corbin, Sasha, Doyle, Alex, Eastmond, Asha, Haynes, Amelia, O’Shea, Margaret, Phillips, Emil, Walkes, Keisha, Artyushkov, Evgeniy L., Kaplan, Mark L., Straltsov, Vladislav, Litvina, Yauheniya, Lyzikov, Alexei, Tihmanovich, Victor E., Borges, Mafalda, Brits, Tim, De Hous, Nicolas, De Wachter, Stefan, Menovsky, Tomas, Mortiers, Xavier, Vermeulen, Dorien, Vleminckx, Nils, Ysebaert, Dirk, Bontinck, Julie, Bulthé, Danny, Rasschaert, Ricky, Van Haver, Anne‐sophie, Van Belle, Koen, Verstraeten, Laurence, Vounckx, Manon, D’Ulisse, Sébastien, De Bruyne, Yasmine, El Nakadi, Badih, Heloise, Tessely, Luisetto, Matteo, Marinakis, Sotirios, Maton, Maxime, Viste, Claire, Van Daele, Elke, Vandeputte, Mathieu, Duinslaeger, Marc, Jacobs‐tulleneers‐thevissen, Daniel, Jansen, Yanina, Janssens, Ward, Kunda, Rastislav, Messaoudi, Nouredin, Ruyssers, Michael, Van Eetvelde, Ellen, Vanhoeij, Marian, Van den Eynde, Jef, Van den Eynde, Raf, Chaoui, Ahmed M., Akpla, Marcellin, Lawani, Souliath, Agossou, Hermann, Behanzin, Hulrich Aouagbe, Bokossa, Covalic, Dewanon, Hubert, Yome, Hugues, Boukari, Alassan, Gbehade, Oswald, Tobome, Sèmèvo Romaric, Amossou, Labissi Francois, Dossou, Francis, Barišić, Tatjana, Boras, Miran, Brekalo, Zdrinko, Blagojević, Ivana Čuljak, Damjanović, Ana, Dragisic, Vedran, Šimić, Ana Dugandžić, Gunaric, Filip, Kajic, Martin, Knežević, Darko, Krešić, Tanja, Lasić, Valentina, Letica, Ludvig, Martinovic, Vlatka, Mikulic, Iva, Miskovic, Josip, Pehar, Hrvoje, Rastović, Pejana, Sesar, Irena, Šetka‐čuljak, Violeta, Soljic, Martina, Tiric, Dejan, Tomić, Vajdana, Vasilj, Anja, Hudic, Igor, Oliver, Renato Aguera, Lamonica, Felipe Azenha, De Medeiros, Jorge, Florindo, Henrique Donizetti Bianchi, Filho, Rodolfo Jose Favaretto, Pereira, Fernanda Costa, Rodrigues, Rodrigo, Junior, Antonio Antunes Rodrigues, Andrade, Fernanda Ruiz, Salvetti, Maisa, Campioto, Débora Schalge, Lamonica, Mayra Tuboi, Urbano, Gustavo, Prado, Ricardo Villela, Alonso, Nivaldo, Santos, Carlos Ferreira, Tonello, Cristiano, Pires, Robinson Esteves, Rezende, Ricardo Fernandes, Reis, Igor, Marson, Fernando Augusto Lima, Ferreira, Erick Pires, Palamim, Camila Vantini Capasso, Brandao, Marcelo, Souza, Tiago Henrique, Maunsell, Rebecca, Neto, Alfeu Accorsi, Accorsi, Guilherme, Fernandes, Murilo Francisco, Machareth, Camila, Moura, Barbara Viegas, Dias, Vanessa, Guarienti, Luciano, Sampaio, Lia Regina, Vendrame, Cristiano, Coelho, Tatiane Amorim, Becker, Karin, Dias, Andre, Fachin, Camila Girardi, Gomes‐da‐silva, Monica Maria, Moraes, Isabela, Pinto, Amanda, Stychnicki, Adriano Seikiti, Julio, Nathalia Siqueira, Santos, José Mauro, Junior, Humberto Fenner Lyra, Oliveira, João Carlos Costa, Onzi, Tiago Rafael, Gerber, Marlus Tavares, Coelho, Filipe Osni, Silva, Janaína Carla, Panis, Carolina, Rech, Daniel, Avelino, Melissa, Botacin, Lais, Gonçalves, Mateus Capuzzo, Santos Leite, Amanda Lira, Pol‐fachin, Laercio, Bezerra, Tainá Santos, Santos Junior Alcimar, Alcimar Lavareda, Amorim, Robson, Leão, Maria Eduarda Bellotti, Bergamasco, João José Corrêa, Pinheiro, Cintia Cardoso, Neto, Rubem Alves Da Silva, De Araújo, Elaine Francisca, Guimaraes, Lilian, Liborio‐kimura, Tatiana, Camara, Isabelle Melo, Siqueira, Victor Ripardo, Rodriguez, Juan, Silva, Jeancarllo, Junior, Rubem Alves Silva, Cardoso, Cláudio, Guimaraes, Andre, Alves, Wislene Sarajane Moreira, Menezes, Agna Soares Da Silva, Araujo, Marcelo, Brito, Kattiucy, Albuquerque, Josie Marcelle Lira, Dussan‐sarria, Jairo Alberto, Souza, Andressa, Stüker, Andre Ricardo, Bresciani, Tiago, Stefani, Luciana Cadore, Cavazzola, Leandro Totti, Costa, Tainá, Dasqueve, Matheus, Marangon, Gustavo De Bacco, Martins, Otávio Ritter Silveira, Rodrigues, Josy, Cardoso, Guilherme Roloff, Neto, Brasil Silva, Soares, Tilaê, Zanella, Aline, Filippi, Lucas Torelly, Guerra, Enilde Eloena, Cruz, Ricardo Pedrini, Kalil, Antonio Nocchi, Laporte, Gustavo, Salem, Moacyr, Lima Brazan, Murilo, Campos Prado, Caio Antonio, Moises, Elaine Christine Dantas, Suto, Hilda Satie, Yasuda, Alice Gadotti, Zani, Ana Carolina Tagliatti, Santos, Roberto Cardoso Cardoso, Duarte, Geraldo, Joviliano, Edwaldo Edner, Santos, Carolina Lourenço Gomes, Quintana, Silvana Maria, Tamashiro, Edwin, Valera, Fabiana Cardoso Pereira, Zaccaro, Marília Veccechi Bijos, Andreotti, Isis, Lima, Leonardo, Salgado, Wilson, Cunha Viana Júnior, Alonço, Moutinho, Lana, Oliveira, Cora Pichler, Martins, Isabela Trindade, Toledo, Isabela Vieira, Guimaraes‐filho, Marco Antonio Correa, Arrivabeno, Rodrigo, Murta, Claudio Bovolenta, Said, Danniel Frade, Junior, Jose Pontes, Pugliesi, Felipe Guimarães, Gregorio, Paulo, Mariani, Alessandro, Minamoto, Fabio, Silva, Juliana Lourenço, Muller, Bruno, Zanon, Caio, Carvalho, Vladimir C., Lima, Ana Lucia Munhoz, Oliveira, Priscila R, Santos Silva, Jorge, Teixeira, Mariana Faccini, Kulcsar, Marco, Matos, Leandro, Nunes, Kamilla Schmitz, Junior, Joel Abdala, Abdallah, Emne, Carvalho, Genival Barbosa, Farias, Igor Correia, Silva, Cassia, Eloi Pinto, Fabio Fernando, Facure, Luciana, Godoy, André, Kupper, Bruna, Leite, Fernanda, Melo Lôbo, Matheus, Mantoan, Henrique, Marques, Narimã, Marques, Tomas, Medici, João Paulo, Torres, Silvio Melo, Garcia, Katheryne Merlos, Meduna, Rafael Ribeiro, Herbst, Ana Carolina Scintini, Santos, Silvana Soares Dos, Gonçalves, Bruna Tirapelli, Antonini, Marcelo, Brienze, Carolina, Farah, José Francisco, Gonçalves, Rodrigo, Machado, Vinicius, Nadal, Luis Roberto, Rodrigues, Danilo Nadal, Pansani, Adrieli, Rocha, Maria Luiza, Simonsen, Marcelo, Tsuchiya, Daniela, Vasques, Rafaela, Amorim, Jorge, Carvalho, Ana Alyra, Correia, Rebeca, Santos, Brena Costa, Neto, Henrique Jorge Guedes, Nakano, Luis, Pereda, Mariana, Vasconcelos, Vladimir, Awada, Jamile Barakat, Gava, Guilherme, Ijichi, Tiago Riuji, Kim, Nam Jin, Nunes, Rafael, Pinto, Fabio, Pereira, Thiago Henrique Sigoli, Volpe, Gustavo Jardim, Gatti, Arthur, Nardi, Caroline, Oliva, Ramon, Oliveira, Layze Braz, Carvalho, Herica Emilia Félix, Ribeiro, Ivonizete Pires, Rodrigues, Gabriel Renan Soares, Sousa, álvaro Francisco Lopes, Chebel, Michel, Sousa Fernandes, Paulo Henrique, Freitas, Marcelo Augusto Faria, Cunha, Juliano Rodrigues, Ather, Zeenia, Dimitrov, Dobromir, Filipov, Emil, Gyokova, Elitsa, Ilieva, Ivelina, Ivanov, Tsvetomir, Karamanliev, Martin, Neykov, Vasil, Atanasov, Boyko, Belev, Nikolay, Kamenova, Paolina, Tonev, Kaloyan, Yotsov, Tsanko, Hristova, Evguenia, Spassov, Kolyo, Tsankov, Tsanko, Dardanov, Dragomir, Gribnev, Petar, Sokolov, Manol, Brown, James, Tanyi, John, Hurdle, Heather, Maclean, Anthony, Sander, Michael, Al Riyami, Salim, Bali, Krittika, Bigam, David, Dajani, Khaled, Anvari, Mehran, Bolis, Rafik, Choi, David, Ellis, Susan, Gupta, Michael, Hanna, Wael, Hong, Dennis, Horner, Cynthia, Luketic, Lea, Moisiuk, Peter, Shargall, Yaron, Alfaro, Hilda, Alkhamesi, Nawar, Allen, Laura, Brackstone, Muriel, Chan, Eunice, Cheng, Davy, Chui, Jason, Gonzalez, Nelson, Lanting, Brent, Macneil, S. Danielle, Mayer, Robert, Mcgee, Jacob, Nagappa, Mahesh, Power, Nicholas, Prempeh, Agya, Qiabi, Mehdi, Razvi, Hassan, Schemitsch, Emil, Sehmbi, Herman, Shah, Ushma, Subramani, Yamini, Vasarhelyi, Edward, Vogt, Kelly, Yang, Homer, Abdehgah, Ali Ghorbani, Balvardi, Saba, Feldman, Liane, Fiore, Julio Flavio, Hanson, Melissa, Hopkins, Brent, Kaneva, Pepa, Lee, Lawrence, Leonard, Julia, Abou‐khalil, Jad, Martel, Andre, Stevenson, James, Lee, Susan, Merchant, Richard, Avoine, Samuel, Belanger, Laurence, Belanger, Mathieu, Belzile, Etienne, Blais, Anne‐sophie, Boucher‐kovalik, Sofia, Boulanger‐gobeil, Cindy, Cardinal, Etienne, Champagne, Pierre‐olivier, Cloutier, Jonathan, Corriveau‐durand, Simon, Cote, Mathieu, Cote, Maxime, Côté, Mathilde, Courval, Valérie, Demers, Suzanne, Desbiens, Christine, El Ouazzani, Mehdi, Girard, Karine, Girard, Ève‐marie, Gosselin, Karo, Khuong, Helene, Labrecque, Nathalie, Langlais, Eve‐lyne, Larouche, Audrey, Lavallée, Andréane, Lemyre, Madeleine, Maheux‐lacroix, Sarah, Marien, Melissa, Marin, Patrick, Mauger, Julie, Milot, Genevieve, Nadeau, Sylvie, Nguyen, Sebastien, Paris, Mélinda, Pelet, Stéphane, Plante, Marie, Plante, Carole, Pouliot, Frederic, Renaud, Marie Claude, Sarlabous, Mathilde, Schmit, Isabelle, St‐germain, Raphaël, Johnston, Brian, Labine, Nicole, Persad, Amit, Pham, Hong, Wood, Melissa, Azam, Riordan, Atrey, Amit, Beckett, Andrew, Cohen, Daniel, Das, Sunit, Daza, Julian, Dunkerton, Cheryl, Ellenbogen, Yosef, Hanley, Ciara, Kellett, Sorcha, Khoshbin, Amir, Ladha, Karim, Mcfarlan, Amanda, Montgomery, Spencer, Pazmino‐canizares, Janneth, Suresh, Hrishikesh, Vasdev, Ravleen, Ahmed, Maira, Gentili, Fred, Kalyvas, Aristotelis, Millesi, Matthias, Sarica, Can, Shaikh, Taariq, Leslie, St, Jacques, Null, Tabasinejad, Raha, Zadeh, Gelareh, Hsiao, Marvin, Jedrzejko, Nicole, Black, Peter, Broe, Claire, Dandurand, Charlotte, Grey, Rebecca, Leung, Philemon, Lindberg, Andrew, Gutierrez, Juan Mata, Mayson, Kelly, Meneghetti, Adam, Phillips, Drew, Street, John, Calderón, Carolina Carvajal, Pizarro, Daniel Alejandro Donoso, Fernández, Esteban, Molero, Ángela, Mutarello, Nastassja, Lucic, Jorge Núñez, Gaete, Katherine Ochoa, Lopez, Catalina Ruiz, Sepúlveda, Rina, Ulloa, Camila, Barreda, Mauricio, Dallaserra, Matias, Wood, Matías Günther, Tobar, Mauricio Sandoval, Garcia‐huidobro, Francisco, Dona, Jimena, Diez, Carolina Soto, Igor, Daniel, Mena, Javier, Reyes, José Tomás, Soto, Catalina Arredondo, Campos, Jose, Gonzalez, Javier, Rivera, Barbara, Altamirano‐villarroel, Jaime, Cohn, David, Amesti, Luis Marin, Recabal, Pedro, Sandoval, Camilo, Fonseca, Bruno Catoia, Contador, Monica, Hodali, Andres, Pincheira, Camila, Mantilla, Andrea Ramos, Garrido, Claudio Salas, Torres, Janina, Valenzuela, Marco, Chen, Zehua, Jiankun, Hu, Tao, Jin, Yang, Kun, Zhang, Yuexin, Chen, Yuan, Cunchuan, Wang, Yang, Wah, Bai, Xueli, Liang, Tingbo, Tao, Ma, Ning, Pu, Yin, Hanlin, Caicedo, Camilo, Beltran, Diego Felipe Tellez, Escobar, Alejandro, Granados, Carolina Perez, Pinzon, Lisbeth Alexandra Urueña, Bonilla, Carlos, Santana, Diana, Serrano, Oscar, Garcia, Andrea, Luque, Fernando Giron, Patino‐jaramillo, Nasly G., Baquero, Laura Giselle Contreras, Botero, Nestor Augusto Muñoz, Castellanos, Jhoana Andrea Murillo, Calvera, Andrea Juliana Vega, Acosta Buitrago, Lina M., Bohórquez‐tarazona, Maria Paz, Rivera, Paulo Andrés Cabrera, Felipe Casas, J, Alfaro, Valeria Cormane, Corso, Julian, Guerra, Bayron, Guerrero‐becerra, Albert Franz, Abiyomaa, Akram Kadamani, Montes, Felix Ramon, Paz, Manuel Santiago Mosquera, Sandoval, Camilo Andrés Polanía, Quintana, Natalia, Ortega, Carlos Fernando Roman, Santacruz, Carlos, Téllez, Manuela, Sánchez, Camilo Alejandro Velandia, Arias‐amézquita, Fernando, Vargas, Luis Felipe Cabrera, Murgueitio, Natalia Cortes, Escorcia, Elkin, Ghotme, Kemel Ahmed Ghotme, Gomez‐mayorga, Jorge Luis, Vergel, Alvaro Felipe Guerrero, Herrera‐almario, Gabriel, Londono‐schimmer, Eduardo, Mejia, Juan A., Monsalve, Guillermo, Rodriguez, Camilo, Niño, Juan Nicolas Rodriguez, Ortegón, Luis Martín Rodríguez, Sanabria, Daniel, Alvarez, Andres, Andrade, Arnulfo, Ardila‐montealegre, Javier, Baquero, David, Vidales, Edgar Mauricio Barrios, Giraldo, María Alejandra Caicedo, Carvajal, María Camila, Castillo, Maria, Florez, Maria Carolina Castillo, Cendales, María Angelica, Monroy, Danny Conde, Cortes, Henry, Daniel, Mario, De la Peña, Jairo, Delgado‐nieto, Elena Leonor, Espitia, Hernando, Avendaño, Carlos Figueroa, Burgos, Edgar Oswaldo Hernandez, Isaza‐restrepo, Andres, Londono, German, Maldonado, Margarita Maria, Montenegro, Andrea, Navarro, Juan Carlos, Navarro‐alean, Jorge, Abaunza, Katherine Parra, Pulido, Eliana, Ramírez Amaya, Erika M., Chaves, Carlos Eduardo Rey, Rincón, Natalia Andrea Rivera, Castillo, William Mauricio Riveros, Sanchez, Lizeth Rodriguez, Rubiano, Wilson, Russi, Maria, Olarte, Juan Carlos Sabogal, Tovar, Javier Mauricio Salgado, Sanchez, Maria Juliana, Varela, David Mauricio Solano, Gomez, Paula Torres, Trillos, Marcial, Patiño, Ana María Vargas, Vargas‐barato, Felipe, Leon, Juan Pablo Villate, Useche, María Alejandra Wagner, Acosta, Jesus, Almeciga, Adriana, Mendez, Luis Becerra, Beltran, Rafael Jose, Bonilla, Ana, Buitrago, Miguel, Cabrera, Marino, Quiroz, Pedro Hernando Calderon, Camacho‐nieto, Diego, Fierro, Carlos Andrés Carvajal, Bonilla, Sergio Cervera, Diaz, Sandra, Facundo, Helena, Forero, Jorge, Mora, Mauricio Garcia, Tirado, Karena Victoria Garcia, Perez, German Fabian Godoy, Gonzalez, Felipe, Guevara, Oscar, Hernandez, Jairo Alonso, Mora, David Ricardo Herrera, Lalinde, Juan David, Lehmann, Carlos, Llanos, Eduardo Leon, Lopez, Byron Eduardo Lopez De Mesa, Mariño, Ivan, Medina, Monica, Morales, Raúl Eduardo Pinilla, Puerto, Angela, Null, Ma, Quintero‐ortíz, Andrea, Hernández, Juliana Rendón, Cortés, Elio Fabio Sánchez, Hernández, Alvaro Eduardo Sánchez, Suarez, Raul, Suescun, Oscar, Vanegas, Marco, Varela, Rodolfo, Bernal, Jorge Luis Velez, Viveros‐carreño, David, Gómez, Daniela Camargo, Fletcher, Angelica, Merchan, Abel, Luna, Euler Javier Burbano, Cujiño, Indira, Galvis, Mauricio Velasquez, Galliadi, Lina Maria Vergara, Gonzalez, Orlando Abonia Gonzalez Abonia, Saravia, Maria Fernanda Acuna, Arroyave, Roberto, Angulo, Jose Maria Barreto, Bonilla‐escobar, Francisco Javier, Cardona, Uriel, Giacometto, Ivan Castañeda, Castillo, José Luis, Castillo‐cobaleda, Diego Fernando, Garcia, Diego Jose Caycedo, Tello, Brenda Marcela Coll, Dueñas‐ramirez, Juan Carlos, Vidarte, Oscar Andres Escobar, Figueroa, Luis, Garcia‐perdomo, Herney, Gomez, Alden, Gomez, Laura, Gomez, Alejandro, Grande‐gil, Ana María, Guarin, David, Guzman, Natalia, Castañeda, Enrique Herrera, Hinaoui, Marisol, Escobar, Anuar Armando Idrobo, Kammerer, Christian Kammerer, Leon, Sergio, Lucero, Carlos Antonio Llanos, López, Angie, Martinez‐blanco, Alexander Maximiliano, Casella, Antonio José Montoya, Corredor, Ricardo Andres Niño, Ordoñez, Sebastian, Uribe, Diego Alfredo Palta, Serna, Andrea Carolina Perea, Ríos, July, Ríos‐samper, Gabriel, Garcia, Juan David Rivera, Moreno, Juan Camilo Salcedo, Sandoval, John, Ramirez, Guillermo Alberto Sarmiento, Romero, Paola Andrea Tabares, Urzola, Ricardo, Valdes‐duque, Iliana Maria, Velasquez, Miguel, Villegas, Lina Maria, Zapata‐copete, James, Lara, José Omar Zorrilla, Zuluaga, Mauricio Zuluaga, Moreno, Alejandra Echeverri, Figueroa, Juan Sebastian, Ortiz, Adolfo Enrique Gómez, Mosos, Maria Fernanda Gonzalez, González‐orozco, Alejandro, Roncancio, Juan Jose Jaramillo, Martínez, María Camila Leyva, Mosos, Monica, Ramirez, Juan Sebastian, Rodríguez, Henry Andrés, Henao, Juan David Saavedra, Varón, María Alejandra Torrado, Ramírez, Leidy Natalia Idarraga, Ocampo, Lorena, Marin, Monica Cardona, Gonzalez, Ana Maria Marin, Mejia, David Alejandro, Vanegas, Luis Emiro, Martinez, Yicel Alvarez, Vesga, Sandra Aruachan, Fuentes, Dayana Vanessa Baron, Salas, Alejandra Caballero, Estrada, Gustavo Antonio Martinez, Campo, Kelly Viloria, Alvarez, Juan Antonio Corralez, Regino, Cesar David Galindo, Velasquez, Angela Maria Giraldo, Moreno, Carlos Enrique Melo, Tejada, Jorman H., Tovar, Jesus Hernan, Tovar, German Alirio, Hernández, Edison Alexander Benavides, Orozco‐chamorro, Claudia Milena, Angel, Gustavo Adolfo, Buesaquillo, Christian Ali, Montaño, Victor David Olave, Sánchez‐gómez, Andrés, Ureche, Daniela Patricia Escalante, Garrido, Jairo Martinez, Genda, Eben‐ezer, Eboma, Fabrice, Bitunjac, Kristina, Grulović, Karlo, Vučković, Marijana, Šantak, Goran, Borovic, Emanuel, Versic, Ana Bosak, Hasandić, Damir, Grabar, Natasa Poldan, Medancic, Suzana Srsen, Brkic, Lucija, Cokarić, Sara, Palac, Petra Pavic, Samac, Zeljka, Tomić, Josipa, Vrdoljak, Marija, Bacic, Ivan, Bakmaz, Bernarda, Vučičić, Nikolina Bratošević, Brzic, Domagoj, Canovic, Samir, Dijan, Emilio, Dragicevic, Maja Grgec, Karlo, Robert, Konjevoda, Suzana, Kovačević, Petra, Kovačić, Ivan, Markulić, Frane, Matak, Luka, Morović, Domagoj, Perišić, Gordan, Simic, Andrea, Skitarelić, Neven, Veršić, Matea, Žufić, Vanja, Zuzul, Matea, Anzic, Srdan Ante, Carevic, Iva, Litvic, Dubravka Heli, Markov‐glavas, Duska, Jovanovic, Tatjana Savic, Augustin, Goran, Biloš, Jerko, Biočina, Bojan, Biosic, Vedrana, Bobovec, Dino, Botica, Iva, Bumber, Boris, Čerina, Petra, Vukovic, Katarina Duric, Gasparovic, Hrvoje, Gatin, Lucija, Grsic, Kresimir, Radojković, Ika Gugić, Jelčić, Ivan, Kastelan, Zeljko, Kolak, Juraj, Kulis, Tomislav, Kunjko, Kristian, Maric, Marjan, Kavanagh, Marcel Marjanović, Milicic, Borna, Morić, Trpimir, Pasini, Miram, Penezić, Luka, Prgomet, Drago, Prstacic, Ratko, Prtorić, Andreja, Radojković, Rudolf, Romić, Ivan, Sečan, Tomislav, Šoša, Dora škrljak, Slipac, Juraj, Tomic, Mislav, Zedelj, Jurica, Zekulić, Toni, Zimak, Zoran, Lorencin, Mia, Luksic, Ivica, Mamic, Matija, Espinsa, Norberto Miranda, Cruz, Ailén Sánchez, Antoniou, Stavros A., Kakas, Michael, Panayiotou, Yiannis, Almezghwi, Heyam, Arslan, Kalbim, Besim, Hasan, Özant, Ali, Özçay, Necdet, Kokkinos, Georgios, Papatheodorou, Panayiotis, Pozotou, Ioanna, Stavrinidou, Olga, Yiallourou, Anneza, Burda, Lukáš, Dosoudil, Michal, Martinek, Lubomir, Gawel, Wladyslaw B., Lerch, Milan, Peteja, Matúš, Žatecký, Jan, Daniel, Toman, Formánek, Martin, Javurkova, Veronika, Kepičová, Markéta, Macečková, Nicole, Matousek, Petr, Simetka, Ondrej, Vavra, Petr, Zelenik, Karol, Černý, Jan, Khan, Sami, Lischke, Robert, Přibyl, Martin, Younus, Temoore, Amarasena, Yenuksha, Klíma, Karel, Pirmorad, Setareh, Hotová, Zuzana, Mladěnka, Aleš, Bozo, Nulvin, Harbjerg, Julie Lykke, Hviid, Louise, Kristensen, Helle ø, Mekhael, Mira, Nielsen, Mette Fugleberg, Paulsen, Laerke, Sinimäki, Saija, Mogensen, Louise Zinck, Bonde, Peter, Ebbehøj, Anders Lyng, Fenger, Anne‐sophie, Haugstvedt, Aleksander Fjeld, Hansen, Christine Hangaard, Jönsson, Maria Lovisa, Jorgensen, Lars N, Krarup, Peter‐martin, Lihn, Anne‐louise, Meyhoff, Christian, Otte, Helena, Amar, Anas Ould Si, Palm, Henrik, Schlesinger, Nis, Smith, Henry, Tryggedsson, Ida, Axelsen, Anne Reiss, Bælum, Jens Kristian, Ellebaek, Mark Bremholm, Ellebæk, Signe Bremholm, Hogh, Anders, Acosta, Maria, Acosta, Yancy, Baez, Pedro, Betances, Luis Alfredo, Bonilla, Luis Rodolfo, Cabreja, Daniel, Cruz, Wilton Cabrera, Expósito, María Mabel Collado, Crespo, Aldo, Cruz‐pineda, Octavio, D’óleo García, Claudio Samuel, Díaz, Pedro, Escoto, Remberto, Figueroa, Jatnna, Garcia, Luis, Rodriguez, U Garcia‐Dubus, Gomez, Humberto, Grullon, Adrian, Guerrero, Fatherin, Guzman, Lillian, Mosquea, Thelma Rocío Jiménez, Lazala, Engels, Lopez, Ariela, Francisco, Leeany Maletta, Mercado, Jhomayri, Munoz, Herisardy, Paulino, Jeffrey, Fernandez, Maricely Ambar Perez, Reyes, Rudeily, Guilamo, Lilia Rosa Reyes, Rivas, Ruben, Torres, Claudia Alejandra Rivas, Rodríguez, Ada, Villa, Madelin Tamar Rosario, Santana, Eleazar, Soto, Joel, Tactuk, Nassin, Sardiñas, Cristina Kristel Tonos, Ubinas, Raul, Victoria, Jose, Villegas, Aaron, Acra‐tolari, Ricardo, Beltran, Larissa, Betances, Luis Fernand, Blaubach, Alejandro, Mejía, Denisse Idalia Campos, Capellan, Nathalia, Bruzual, María Fernanda Cedeño, Spencer, Saray Cordero, Lantigua, Gabriella Cuevas, De Jesus, Luis, Díaz, Gabriela, Vásquez, Pedro Pablo Díaz, Disla, Karla, Uceta, Jesús Antonio Echavarría, Jimenez, Paola Irina Eusebio, Fernandez, Damaris, Camilo, Marlin Fernandez, Germosen, Jiomar Manuel Figueroa, Fortunato, Maruel, Fernández, Leyla Gabriel, Dihmes, Alicia German, Herrera, Héctor, Cuevas, Elizabeth Leon, Mata, Jose Alejandro, De La Cruz, Mirian Mateo, De la Cruz, Dolores Mejia, Mirambeaux, Marcos, De La Cruz, Fabio Ortiz, Paulino, Henry, Pelletier, Gabriela, Pichardo, Merycarla, Enrique, Rodriguez Pumarol Próspero, Rivas, Julio, Marmolejos, Ann Stephany Sanchez, Santana, Roman Santana, Almanzar, Irina Suero, Sánchez, María Magdalena Vásquez, Campuzano, Nicolás, Ocampo, José Ricardo Negrete, Armas, Maria, Guerra, Alvaro Santiago LeMarie, Vizcaya, Gustavo León, Abdelwahab, Omar Ahmed, Elmehrath, Ahmed O., Mostafa, Mohammed Ezzat, Amira, Gamal, Sallam, Ibrahim, Sherief, Mohamed, Abdelmajeed, Ahmed, Abdou, Mostafa, Shanab, Ahmed Abo, Abodeeb, Aya, Aboelkhel, Roger, Abosamak, Nour Eldin, Bakr, Amna Abou, Aboubakr, Samar, Abouelnagah, Yossof, Aboumadawy, Omar, Adel, Dina, Afifi, Nermeen, Ahmed, Sara, Ahmed, Abedelrahman, Sayed, Mohamed AL, Alberkamy, Abdelrahman, Aldahma, Mohamed, Ali, Ahmed, Ali, Mostafa, Bakr, Mohamed Amin, Anter, Alaa, Asal, Doaa, Ashoush, Fouad, Ashraf, Olfat, Ashraf, Abdel Rahman, Atta, Rewan, Badr, Salma, Bahaaeldin, Mohamed, Bastawesy, Mostafa, Darwish, Sara, El Kharashy, Rasha, Elassar, Ziad, Elbadawy, Seifeldin, Elkhity, Dina, Elsaka, Alromisaa, Elsayed, Manal, Hewalla, Mostafa Elsayed Elsayed, Elshafey, Mohamed, Eshac, Youssof, Eshac, Fares, Essameldin, Amr, Ewedah, Moataz, Ezz, Yara, Farag, Mohamed, Gadelkarim, Inas, Gadelrab, Ziyad, Gamal, Dina, Ghaly, Mira, Girgis, Nathalie, Gouda, Omar, El Goweini, Nancy H., Hafez, Nour, Hafez, Youssef, Abdin, Abdelkader Hamed, Hanno, Rodina, Hassanin, Aliaa, Hassanin, Mohamed, Hemead, Hanan M., Hemida, Abdelrahman, Hosain, Maher, Hossam, Ahmed, Aly, Hamza Hussein Aly Salama, Ibrahim, Mohamed, Ibrahim, Abdelrahman, Ibrahim, Nourhan, Hamouda, Noha Mohamed Salah Ibrahim Moussa, Iskander, Monica, Khalifa, Islam, Kotb, Mostafa, Mahmoud, Nada, Shabana, Alaa Mahmoud Abo, Mamdouh, Nora, Metwalli, Maram, Metwally, Khaled, Moghazy, Mahmoud, Mohamed, Moustafa, Mourad, Mohamed, Moustafa, Esraa, Mubarek, Kamilia, Nader, Nour Eldin, Nasser, Ahmed, Omar, Samaa, Qatora, Mostafa Shehata, Ragab, Mohamed, Ragal, Marawan, Ramadan, Dina, Ramadan, Rana, Ramadan, Sara, Romany, John, Sabry, Ahmed, Said, Yasmeen, Salamah, Sara, Saleh, Ahmed Mostafa, Elkaffas, Mona Saleh Mesbah Mohamed, Salem, Alaa, Salim, Hashem, Samih, Ahmed, Abdelaal, Ahmed Samir, Shaheen, Ahmed, Mohammed, Yassmeen Sharafeldin, Shehata, Abdelrahman, Shemeis, Mohamed, Shenit, Karim, Sheta, Mennatallah, Soffar, Asmaa, Tanas, Yousef, Tarek, Ahmed, Yehia, Nermin, Eid, Omar Khaled Mohamed, Abdulfattah, Ammar Yasser, Elsaghir, Ahmed, Elganainy, Mohamed Fouad, Elsayed, Omar Ibrahim, Elmandouh, Omar, Hamam, Omar, Shehata, Mostafa Ahmed, Abdelaziz, Areej A., Abbas, Ahmed M., El‐ghani, Wael Abd, Abd Elazeem, Hossam Aldein S., Elsayed, Mustafa Abd, Abd‐elkariem, Ahmed Yassien, Abdalla, Shimaa, Abdel‐aleem, Mahmoud, Abdelazeem, Khaled, Abdelfattah, Mahmoud, Abdelhafez, Mohammed, Abdelkarem, Mohamed M., Abdelraouf, Ali, Abdullaha, Lamess, Abubeih, Hossam, Ahmed, Moaiad Eldin, Ahmed, Nagm Eldin Abu Elnga, Ahmed, Ahmed, Saad, Sarah Ahmed, Alaa, Sherif, Alhussaini, Ali, Ali, Abdelrahman Ahmed Abdelrahman, Ali, Ibrahim, Ali, Wagdi, Mohamed, Mohamed Ali, Ashraf, Mohamed, Bassiouni, Muhammad, El‐adawy, Mohamed G., El‐sharkawi, Mohammad, Elkhayat, Hussein, Elmaghraby, Khaled, Elsdfy, Shady, Elsharkawy, Mohamed, Eltayeb, Almoutaz, Mohamed, Mohamed Esmat, Essam, Esraa, Fahd, Mahmoud, Farouk, Osama, Gadelkareem, Rabea, Ghoneim, Ahmed, Takrouney, Mohammed Hamada, Hamdan, Ahmed, Hamed, Abd El‐Rahman, Hasan, Ahmad, Hassanin, Mohamed Abdelghafor, Hawal, Islam, Henes, Kerollos, Herdan, Mohamed Omar, Hetta, Helal F., Ibrahem, Omar, Ibrahim, Mostafa, Ibrahim, Islam H., Kamel, Mahmoud, Khallaf, Mohamed, Elghazaly, Shrouk M., Mahfouz, Abobakr, Mahmoud, Osman, Mahran, Wesam, Mahrous, Doha, Marsis, Abadeer, Mohamed, Ayman, Hussein, Aliae Mohamed, Sayed, Amr Mohamed, Mohammed, Mahmoud M, Mokhtar, Ahmed, Monib, Fatma A., Nageeb, Ahmed, Nageh, Mariam Albatoul, Nageh, Mohammed, Omar, Nehal Gamal, Ragab, Abdelrahman, Ramadan, Abdelrahman, Temerik, Abdallah Rashad, Sabry, Aya, Safwat, Hadeer, Salah, Omar, Mahmoud, Ahmed Elhussiny Salah, Saleh, Ahmed, Sallam, Mahmoud, Samir, Ahmed, Sayad, Reem, Sayed, Esraa, Sedik, Ahmed S., Shahine, Mohammed, Soliman, Antonios, Soliman, Wael, Taher, Mohamed Gamal, Wanees, Randa, Yousof, Ebrahim Ahmed, Youssef, Ahmed, Elabedeen, Omar Zein, Hassan, Ahmed Emad Sayed, Fattah, Shrouk Abdel, Abostate, Ahmed, Ali, Samar, Salama, Saad Ali Saad, Allam, Mohamed, Alsadek, Ahmed, Arafa, Ebrahim, Barakat, Ahmed, El Sherpiny, Mohammed, Elbehairy, Gehad, Eleisawy, Mahmoud, Elgendy, Abdelrahman, Elhawary, Rewan, Eltregy, Sherif, Hamdy, Mahmoud, Hassan, Gehad, Khalifa, Aya, Mahmoud, Ahmed, Altukhy, Ahmed Mohamed, Noah, Kareem, Noureldin, Yasser, Nowar, Mostafa, Saad, Moustafa, Elsaeidy, Ahmed Saad, Elsaeidy, Khaled Saad, Sabry, Hesham, Sameh, Mostafa, Said‐elnaby, Ahmed Tarek, Zahed, Mohamed, Zahran, Mohamed, Zaid, Abdelrahman, Zoghary, Ahmed Zaki, Atef, Mohamed, Mohamed, Ahmed, Youssef, Mohamed, Abdelhamid, Mahmoud Hossameldin Saad, Alazab, Emad, Awad, Ahmed K., Darwesh, Amr, El Fiky, Lobna, Elgarhy, Ibrahim, Nassef, Mohamed Adel, Shaban, Mahmoud, Shalaby, Mahmoud Mohamed Mohamed, Wahba, Abdelrahman, Fouad, Omar Youssif Omar, Elsadek, Menan, Gad, Dalia, Abdelsamed, Ahmed, Bayomy, Abdulhakeem, Elsalhy, Mohamed, Fahim, Ahmed, Seleim, Ahmed, Afifi, Eman, Gamal, Fatma Alzahraa, Gamal, Mennatullah, Eldesouky, Omnia, Eldwini, Mohamed Hatem Elmetwalli Eldwini, Fahmy, Mostafa Medhat Fahmy, Hussein, Ahmed, Ouf, Abdallah, Sami, Omar, Shaat, Salem, Bahi, Abdullah Wael Mostafa Khalil, Atea, Abdurhman, Gamal, Ibrahim, El Kassas, Mohamed, Omar, Wael, Tawheed, Ahmed, Al‐oribi, Saeid, Aly, Nuran Khaled, Elfiky, Mahmoud, Elmaghraby, Alaa Eldine, Elrahmany, Abdulrahman, Elsherbeeny, Motaz, Helmy, Youssef, Nabil, Ahmed, Farahat, Ahmed Samir, Soliman, Mostafa, Wassef, Amr, Abdelrahman, Abdelrahman, Elsaban, Seif, Ghaly, Galal, Hamdy, Rana, Mondy, Hamada, Abdallah, Lubna, Darwish, Abdelrhman KZ, Rabea, Mohamed, Azab, Mohammed A, Abbas, Alzhraa Salah, El‐deeb, Marwa, Fawzy, Mohamed, Ibraheem, Maher, Bakry, Abdelrahman, Elnems, Sarah, Elsheikh, Randa, Gbreel, Mohamed Ibrahim, Hafez, Mahmoud, Jammal, Mohamed, Hamam, Khaled M, Makram, Abdelrahman M, Makram, Omar Mohamed, Rabie, Salma, Askalany, Sherine Yousery, Abushanab, Mokhtar Mohamed Ibrahim, Eid, Abdulrahman, El Ghalid, Mohammed Refaat Ibrahiem Amin, Abdelaty, Ahmed Adel, Fayad, Elsayed A., Radwan, Asmaa, Sallam, Moataz, Shokry, Ahmad, Farouk, Ahmed Mohamed, Elfallal, Ahmed, Elfeki, Hossam, Elsaeed, Mohamed, Elsaid, Mahmoud, Makroum, Amany, Elsaid, Dina Mohamed, Mostafa, Mohamed, Omar, Mohamed W, Rezk, Mohamed, Sakr, Ahmed, Sanad, Aly, Shalaby, Mostafa, Shawqy, Mohammed, Shetiwy, Mohamed, Shoma, Ashraf, Tawakl, Noura, Yunes, Asmaa, Abouzid, Amr, Atallah, Khalid, Elmorsi, Rami, Elsherbini, Ahmed, Gaballa, Khaled, Hamdy, Omar, Hamdy, Mohamed, Metwally, Islam Hany, Refky, Basel, Shetiwy, Mosab, Zuhdy, Mohammed, Zahran, Mohammed A, Abdellah, Fatima, Abdelmawla, Ahmed, Abdrabou, Ahmed, Abubakr, Asmaa, Al Gohary, Rawda, Al‐shazly, Mohammed Hamdy, Ali, Mohamed, Allam, Abdallah R, Aposaeeda, Aya, Asfour, Mohammed, Ayman, Ammar, Omran, Abdelrahman Azzam, Daghash, Ibrahim Tawfiq, Ebada, Mahmoud Ahmed, Eid, Taher, El Kelany, Ahmed, El Shemy, Esraa, El‐hag‐aly, Mohammed, Elgamal, Omar, Elghoury, Mahmoud, Elkased, Ahmed Farag, Ellakwa, Takwa Hamed, Ellakwa, Hamed, Elmeanawy, Amr, Elnoamany, Salma, Elsabagh, Alaa, Elsawey, Abdelrahman, Elshabrawy, Enas, Elshakhs, Seliman, Elsoudy, Naira, Ezzat, Esraa, Fawzy, Ahmed, Gamal, Abrar, Gameel, Ahmed, Gharbia, Khaled, Ghonaim, Mohamed, Ghonaim, Alaa, Hafez, Ahmed, Hafez, Abdelrahman, Ismail, Zainab, Khaled, Mohamed, Meselhy, Mohammed, Mikhail, Pola, Mohamed, Mervat, Mougahed, Mohamed, Mustafa, Abdulla, Nada, Ahmed, Omran, Janna, Ebiad, Mohamed S., Saleh, Ibrahiem, Salem, Nourhan, Salem, Osama, Selim, Salma, Shalaby, Ghada, Sherif, Hoda, Soltan, Hatem, Wahbah, Mahmoud, Abdelbary, Eman Zakaria, Zayan, Ahmad Helmy, Afify, Abdelrahman, Hadiya, Hossam Ali, Elshref, Mohamed Jamal, Ahmed, Mostafa Mohamed, Nasser, Nourhan, Abdeldayem, Hesham, Salama, Ibrahim Abdelkader, Ammar, Khaled, Ayoub, Islam, Aziz, Amr, Badawy, Mohammad Taha, Balabel, Mohamed, Fayed, Yahya, Gad, Emad Hamdy, Gomaha, Maher, Hammad, Essam, Hegazy, Osama, Hegazy, Elsayed, Ibrahim, Tarek, Kallaf, Mostafa, Macshut, Mahmoud, Magdy, Ammar, Oteem, Ahmed, Sallam, Ahmed, Samaan, Samy, Sharshar, Mohamed, Shoreem, Hany, Soliman, Elsayed, Soliman, Hossam Eldeen, Yassein, Taha, Zakaria, Hazem, Eldaly, Abdullah, Mashaly, Sarah, Abd‐elsalam, Sherief, Abdel‐elsalam, Wafaa, Shaalah, Ahmed Abdullah, Elbahnasawy, Mohamed, Elhalaby, Ismael, Hamada, Mohamed, Soliman, Sarah Hamdy, Hawila, Ahmed, Morsy, Mohamed Sherif, Naieem, Mohmed, Nasreddin, Mohammed, Salman, Samar, Sarsik, Sameh, Shabana, Ahmed, Tolba, Engy, Zagho, Mohamed, Kams, Liisa, Rätsep, Tõnu, Riips, Karolin, Abdurehman, Oumer, Admasu, Azarias, Berhea, Ataklitie, Eado, Yegeremu, Hailu, Nebiyou, Kidane, Meklit, Mohammed, Abdurezak, Mohammed, Khalid, Tibelt, Admasu, Woldemariam, Mersha Abebe, Yonael, Lydya, Alemu, Megersa, Aklilu, Abenezer Tirsit, Asele, Frehun, Assefa, Solomon, Azmach, Dawit, Bekele, Philimon, Mamo, Mickyas, Maru, Nahom, Mekuria, Haile, Menkir, Abel, Mikru, Filagot, Siraw, Eyerusalem, Suga, Hilkiah, Sumoro, Natnael, Teka, Aklilu, Thomas, Efeson, Woldemariam, Dereje, Wubishet, Estifanos, Abebe, Engida, Abebe, Kirubel, Asfaw, Fitsum, Bergene, Eyerusalem, Eshete, Mahder, Gebrehiwot, Fitsum Gebreegziabher, Gedefaw, Yetsedaw, Mengesha, Mulualem Wondafrash, Mengiste, Netsanet, Menjeta, Abeje, Muleta, Mahteme Bekele, Sefera, Sena, Tedla, Yonatan, Teklu, Daniel, Teshome, Henok, Tirfe, Leake, Tsegabrhan, Sahle, Tsehaye, Milkias, Worku, Bereket, Molla, Million, Supha, Melka, Taye, Tewodros, Abebe, Nebyou, Alemu, Berhanu, Chanie, Abera, Degefu, Hailegebriel, Desalegn, Dawit, Gebre, Hiwot, Hussen, Husnia, Kassa, Dawit, Laeke, Tsegazeab, Mammo, Tihitena Negussie, Negash, Samuel, Sahlu, Abat, Tiruneh, Abraham Genetu, Wolde, Amanuel, Woldeselassie, Hanna Getachew, Ahmed, Mnewer Y., Zewdneh, Betelhem, Fentaw, Jibril, Salia, Shemsedin, Tabore, Ketema, Gurara, Addisalem, Abreha, Tassew, Abrha, Teklebirhan, Beyene, Gaym, Hailu, Niguse, Weldu, Mulu Atsbaha, Abdissa, Desalegn, Tesfaw, Mequannet, Wolle, Melatework, Asmamaw, Dawit, Assefa, Biniam Zemedu, Bedane, Dereje, Bekele, Ephrem, Getie, Aderaw, Melkamu, Solomon, Mengesha, Workineh, Shumye, Getachew, Tagele, Gashaye, Tesfa, Abrham Amare, Workneh, Wubshet, Genetu, Sileshi, Mebratu, Eneyew, Chanyalew, Lidya, Deresse, Tilahun, Girma, Adissu, Seid, Marta, Shimelash, Dagim, Shitaw, Abrham, Ayalew, Tewabe, Diress, Tesfaye, Kassahun, Berhanu, Kassaye, Bersabeh, Mulugeta, Esubalew, Tesfaw, Getasew, Yimenu, Beminet, Benecha, Semir, Aman, Mudesir, Ibrahim, Adem, Mekete, Alem, Tesemma, Abdi, Mohammed, Adnan Abdulkadir, Abdullahi, Yasir Younis, Adem, Ephrem, Ahmedin, Mahlet, Assefa, Yared, Ayde, Fitsum, Berhe, Alazar, Gebremeskel, Zersenay, Siyoum, Eneyew Getachew, Teresa, Sintayehu, Wude, Zinaye, Yemer, Fasika, Yohannes, Dagnachew, Zeleke, Ewunetu, Zerihun, Gulilat, Degefe, Derje Worku, Derilo, Hankore Tamirat, Eliyas, Nebiyu, Bayissa, Firew, Deressa, Yadani, Gemechu, Lidya, Gurmu, Tegenu, Kasaye, Ashenafi, Melese, Lemi, Muleta, Lemesa, Mulugeta, Gersam, Taye, Seifu, Teshome, Abraham, Tesso, Birhanu, Gebrekirstos, Gebreagziabher, Haile, Mhreteab, Kassa, Haftamu, Saddik, Mohammed, Mengist, Alemneh, Heikkinen, Juuso, Helminen, Olli, Huhta, Heikki, Kotkavaara, Tommi, Mosorin, Matti‐aleksi, Pitkänen, Joel, Qian, Cheng, Sinikumpu, Jaakko, Sova, Henri, Tastula, Mikko, Virta, Ville P, Bettoni, Jérémie, Dakpé, Stéphanie, Devauchelle, Bernard, Lavagen, Nolwenn, Bastard, François, Bin, Kim, Breheret, Renaud, Fouquet, Olivier, Gueutier, Alexandre, Henric, Nicolas, Kahn, Alexis, Kün‐darbois, Jean‐daniel, Moukoko, Didier, Pineau, Anna, Podevin, Guillaume, Schmitt, Françoise, Alshawared, Fadi, Beyrne, Carlos Daniel, Lugans, Laurene, Marie‐macron, Lysa, Doussot, Alexandre, Ahmed, Omar, Alnajjar, Louy, Mis, Tommaso Cipolat, Fliss, Souha, Giocanti‐auregan, Audrey, Gregory, Thomas, Guiraudet, Patrice, Le Fouler, Adrien, Martinod, Emmanuel, Onorati, Ilaria, Peretti, Marine, Quilichini, Julien, Radu, Dana, Trésallet, Tresallet, Andro, Christophe, Maffert, Alexis, Chapman, Tracy, Halden, Maxime, Fayon, Julie, Mattevi, Catherine, Marion, Herjean, Bendjemar, Lynda, Lionel, Charre, Mikhael, Elie, Macías, Rosa Montero, Villefranque, Vincent, Volpin, Enrico, Trilling, Bertrand, Boleslawski, Emmanuel, Constance, Houlzé‐laroye, Drubay, Vincent, El Amrani, Mehdi, Eveno, Clarisse, Lecolle, Katia, Martin, Louis, Noiret, Barbara, Piessen, Guillaume, Truant, Stephanie, Zerbib, Philippe, Aubry, Estelle, Denimal, Franck, Lamblin, Antoine, Barrat, Benjamin, Caire, François, Christou, Niki, Fourcade, Laurent, Laloze, Jerome, Bouv‐hez, Margaux Mekann, Salle, Henri, Taibi, Abdelkader, Tricard, Jeremy, Usseglio, Julie, Chopinet, Sophie, Gregoire, Emilie, Delpont, Marion, Blanchard, Claire, Crenn, Vincent, Vergie, Stéphane, Denis, Waast, Fragnaud, Henri, Regenet, Nicolas, Rigaud, Jerome, Varenne, Yoann, Anract, Philippe, Barat, Maxime, Biau, David, Dautry, Raphaël, Dohan, Anthony, Idier, Louis, Lang, Elena, Thouny, Camille, Tzedakis, Stylianos, Audenet, François, Cazelles, Antoine, Chamouni, Alexandre, Karoui, Mehdi, Mejean, Arnaud, Clermidi, Pauline, Langlais, Tristan, Leonelli, Lorenzo, Maisonneuve, Emeline, Nicolas, Beaud, Perrot, Ophelie, Prost, Doriane, Thomin, Anne, Thouement, Thouement, Athiel, Yoann, Berry, Richard, Boddaert, Guillaume, Bonnet, Stéphane, Cathala, Nathalie, Conso, Christel, Denet, Christine, Laforest, Anaïs, Levy‐zauberman, Yael, Macek, Petr, Mombet, Annick, Ollat, Didier, Scamporlino, Adriana, Zadegan, Frederic, Amine, Chamakhi Ahmed, Baratte, Baratte, Chartier‐kastler, Emmanuel, Chereau, Nathalie, Colas, Pierre‐antoine, Duquesne, Igor, Genser, Laurent, Petit, Gaëlle Godiris, Goumard, Claire, Hasani, Ariola, Lim, Chetana, Martellotto, Sophie, Melot, Charlotte, Menegaux, Fabrice, Pinar, Ugo, Pocard, Marc, Roupret, Morgan, Scatton, Olivier, Seisen, Thomas, Séverine, Noullet, Turco, Célia, Chouillard, Elie, Beganton, Paul, Frasca, Denis, Kerforne, Thomas, Corbiere, Lisa, Gasmi, Anis, Ghemame, Marwane, Guérin, Sonia, Khene, Zine‐eddine, Livin, Marie, Mahmoud, Fedy, Maillot, Betty, Merdrignac, Aude, Mouriaux, Frederic, Robin, Fabien, Sulpice, Laurent, Vazeux, Charles, Bertheuil, Nicolas, Bonneau, Soline, Cazemajou, Clément Thierry, Cousin, Ianis, Defert, Coralie, Fustec, Elisa, Juricic, Melodie, Lavoue, Vincent, Mevel, Gwenaël, Timoh, Krystel Nyangoh, Renault, Annaëlle, Violas, Philippe, Schwarz, Lilian, Tuech, Jean Jacques, Morichau‐beauchant, Tristan, Sauvat, Frederique, Haddad, Elie, Vermersch, Sophie, Patrizi, Andrea, Roux, Alexia, Aimé, Adeline, Malgras, Brice, Cherkaoui, Zineb, D’Urso, Antonio, Felli, Emanuele, Gonzalez, Cristians Alejandro, Ignat, Mihaela, Mutter, Didier, Pessaux, Patrick, Vix, Michel, Gornes, Hugo, Vergriete, Kélig, Berthoumieu, Pierre, Genre, Ludivine, Le Gall, Hélène, Pierre, Trocard, Chalhoub, Marc, Del, Mathilde, Martinez, Alejandra, Fuchs‐buder, Thomas, Vancon, Antoine, Faya, Camara Abraham, Asaph, Elvam, Baruwa, Elisee, Hofman, Gwen, Machemedze, Solomon, Idiata, Michael Mayombo, Muhemi, Roger, Ndizeye, Olivier, Nkunzimana, Elysé, O’Connor, Jennifer, O’Connor, Zachary, Tchoba, Simplice, Boumas, Natacha, Devidze, Grigol, Pisarevi, Givi, Baumgarten, Sabine, Grüßer, Linda, Hölzle, Frank, Kowark, Pascal, Kowark, Ana, Rossaint, Rolf, Schäfer, Benedikt, Wallqvist, Julia, Winnand, Philipp, Ziemann, Sebastian, Anthuber, Matthias, Broecheler, Tobias, Edlinger, Florian, Goßlau, Yvonne, Hyhlik‐duerr, Alexander, Maksymiw, Florian, Shiban, Ehab, Sommer, Florian, Sommer, Björn, Zerwes, Sebastian, Beyer, Katharina, Lauscher, Johannes Christian, Lee, Lucas D., Loch, Florian N, Schineis, Christian, Aghalarov, Ilgar, Belyaev, Orlin, Braumann, Chris, Enste, Annika, Fahlbusch, Tim, Herzog, Torsten, Horn, Julian, Jedanowski, Julia, Knipschild, Julia, Luu, Andreas Minh, Mohan, Prem Vignesh, Siemen, Leonie, Slobodkin, Illya, Strotmann, Johanna Josefine, Uhl, Waldemar, Wolf, Katerina, Coburn, Mark, Egger, Eva, Eichhorn, Klaus, Enderes, Jana, Far, Frederick, Franzen, Alina, Güresir, Erdem, Hadjiathanasiou, Alexis, Kalff, Jörg C., Kohistani, Zaki, Manekeller, Steffen, Mustea, Alexander, Probst, Chris, Randau, Thomas, Recker, Florian, Schuss, Patrick, Straßberger‐nerschbach, Nadine, Strieth, Sebastian, Treede, Hendrik, Beekum, Cornelius J., Vatter, Hartmut, Velten, Markus, Vilz, Tim O., Wirtz, Dieter, Wittmann, Maria, Behr, Michael, Bulian, Dirk Rolf, Marche, Benedikt, Moczko, Tobias, Otchwemah, Robin, Schulz, Sissy‐amelie, Thomaidis, Panagiotis, Bruns, Christiane, Cursiefen, Claus, Domröse, Christian, Fuchs, Hans, Heindl, Ludwig Maximilian, Mallmann, Michael R., Mallmann, Christoph, Ratiu, Dominik Alexander, Canzler, Ulrich, Distler, Marius, Korn, Sandra, Meisel, Cornelia, Meusel, Marcus, Petzold, Andrea, Praetorius, Christian, Renesse, Janusz, Weitz, Juergen, Wimberger, Pauline, Alkhanji, Nour, Fung, Stephen, Jaber, Kefah, Knoefel, Wolfram Trudo, Vay, Christian, Clonda, Octavian, Cottin, Tatiana, Juodiene, Evelina, Juodis, Domantas, Petrovic, Biljana, Solodarenko, Oleksandra, Binder, Johannes, Grützmann, Robert, Hackner, Danilo, Junker, Stefanie, Arsalan, Mani, Banek, Severine, Chun, Felix, Faqar‐uz‐zaman, Sara Fatima, Keese, Daniel, Kluth, Luis, Rolle, Udo, Van Linden, Arnaud, Walther, Thomas, Bayer, Jörg, Beck, Jürgen, Fung, Christian, Kraus, Luisa Mona, Leiber, Christian, Neidert, Nicolas, Sandkamp, Richard, Schnell, Oliver, Schulte, Antonia, Strähle, Jakob, Jarmusch, Stefanie, Novotny, Helmut Franz Georg, Becker, Johannes, Fulghum, Christian, Gonschor, Bernhard, Herbolzheimer, Marit, Nicolaiciuc, Sina, Trulson, Alexander, Vogelsang, Holger, Zimmermann, Benno, Akbari, Amir Ali, Boening, Andreas, Edinger, Fabian, Hecker, Matthias, Knitschke, Michael, Koch, Christian, Reichert, Martin, Schmidt, Götz, Schneck, Emmanuel, Uhl, Eberhard, Nóbrega, Silvia Flachs, Kauffmann, Philipp, Miller, Clemens, Nemeth, Marcus, Sievers, Denise, Kisser, Ulrich, Kleeff, Jorg, Klose, Johannes, Lorenz, Kerstin, Papendick, Nancy, Plontke, Stefan, Seiwerth, Ingmar, Steer, Susanne, Thomssen, Christoph, Ukkat, Jörg, Dumpies, Christian W., Fischer, Isabel, Gessner, Michael, Hanke, John, Klauke, Friederike, Leuschner, Sebastian, Mendel, Thomas, Müller, Katharina, Schmidt, Birte, Schreiter, Valentin, Stosberg, Peter, Vinz, Franziska, Herbig, Beate, Sander, Johannes, Schulte, Thilo Maria, Betz, Christian Stephan, Bewarder, Julian, Bier, Johannes, Böttcher, Arne, Burg, Simon, Busch, Chia‐jung, Bußmann, Lara, Gosau, Martin, Heuer, Annika, Izbicki, Jakob, Klatte, Till Orla, König, Daniela, Köpke, Leon‐gordian, Moeckelmann, Nikolaus, Praetorius, Mark, Priemel, Matthias, Stadlhofer, Rupert, Stangenberg, Martin, Uzunoglu, Faik G., Wittig, Lukas, Zech, Henrike, Zeller, Nina, Roux, Frederic, Spaeth, Tsiona, Fricker, Roland, Müller, Thomas, Schröder, Lars, Alasmari, Mohammed, Boeker, Clara, Hakami, Ibrahim Abdullah, Mall, Julian W, Kyritsis, Ioannis, Graeb, Christian, Huber‐strößner, Kristin, Branzan, Daniela, Doss, Markus, Gockel, Ines, Jödicke, Carolin, Osterhoff, Georg, Pempe, Christina, Sucher, Robert, Adler, Tina, Kelly, Kathrin, Merkle, Janica, Siebert, Julia, Hirche, Christoph, Kneser, Ulrich, Tapking, Christian, Agrawal, Rachit, Qureischie, Homeira, Croner, Roland, Koslowski, Lisa, Krause, Hardy, Meyer, Frank, Turial, Salmai, Al‐nawas, Bilal, Battista, Marco Johannes, Goedeke, Jan, Hasenburg, Annette, Heider, Julia, Mueller, Lena Katharina, Zeller, Simon, Jentschura, Sina Louisa Patrizia, Kowalewski, Karl‐friedrich, Kriegmair, Maximilian, Männle, David, Reissfelder, Christoph, Rotter, Nicole, Scherl, Claudia, Seyfried, Steffen, Kirschniak, Andreas, Rolinger, Jens, Wilhelm, Peter, Bader, Franz G., Ottl, Stephanie, Behr, Alexandra Viktoria, Diamantis, Alexandros, Fichter, Andreas, Grill, Florian, Heck, Matthias, Jira, Daniel, Kallmayer, Michael, Koll, Florestan, Luhne, Stefan, Meyer, Bernhard, Patachia, Robert, Pergolini, Ilaria, Safi, Seyer, Schäffer, Christoph, Schirren, Moritz, Wegmann, Helmut, Wirth, Markus, Zhu, Zhaojun, Aghamaliyev, Ughur, Almaghrabi, Mahmoud, Böcker, Wolfgang, Bruder, Jan, Frank, Konstantin, Herterich, Viktoria, Huber, Verena, Ilmer, Matthias, Kammerlander, Christian, Neuerburg, Carl, Ehrlich‐treuenstätt, Viktor H., Werner, Jens, Börner, Nikolaus, Fegg, Florian, Hartmann, Daniela, Ladurner, Roland, Liokatis, Paris, Patzer, Kathrin, Schlager, Justin Gabriel, Smolka, Wenko, Zimmermann, Petra, Hatz, Rudolf, Steinhart, Diana, Glowalla, Claudio, Schneidmueller, Dorien, Henkel, Karl Wilhelm, Steiner, Martin, Hölz, Katharina, Knorr, Christian, Kuehlmann, Britta, Oikonomou, Kyriakos, Prantl, Lukas, Flurschütz, Roland, Honarpisheh, Human, Kröger, Marie, Lepiorz, Dominic, Luths, Charlotte, Niemeier, Andreas, Sras, Yara, Strate, Tim, Winter, Thore, Freiman, Thomas, Gessler, Florian, Won, Sae‐yeon, Widyaningsih, Rizky, Hoffmann, Sebastian, Schäfer, Ruth Christine, Thiel, Johannes Tobias, Bertolani, Elisa, Steidle, Christoph, Überrück, Lisa, Yurttas, Can, Ziegler, Patrick, Zimmermann, Alexander, Bolenz, Christian, Dayan, Davut, Greve, Jens, Hoffmann, Thomas K., Janni, Wolfgang, Löbig, Niklas, Schochter, Fabienne, Vahl, Julius Malte, Wezel, Felix, Greif, Veronika, Schmidbauer, Stefan, Marsch, Imke, Schneider, Rolf, Boenicke, Lars, Degener, Stephan, Dreger, Nici Markus, Horstmeier, Franz Christian, Kruschwitz, Jakob, Rombach, Adrian, Schmidt, Nele, Seiberth, Rose, Singh, Jaswinder, Smit, Marieke, Rundstedt, Friedrich‐carl, Zirngibl, Hubert, Diessner, Joachim, Friedrich, Sabine, Germer, Christoph‐thomas, Helmer, Philipp, Herrmann, Johannes, Kranke, Peter, Kübler, Hubert, Lock, Johan, Lotz, Christopher, Meffert, Rainer, Meybohm, Patrick, Müller, Sophie, Notz, Quirin, Popp, Maria, Schlegel, Nicolas, Schlesinger, Tobias, Schmid, Benedikt, Sitter, Magdalena, Steinisch, Andreas, Treutlein, Agnes, Berg, Anne, Wurmb, Thomas Erik, Agyeman‐duah, Nana Kwaku, Appiah, Enoch, Armah, Ralph, Asare, Christopher, Awere‐kyere, Lawrence, Daary, Dennis, Gakpetor, Delali, Allah, Stephen Minlah, Obbeng, Ambe, Osei‐poku, Dorcas, Puozaa, Diana, Tackie, Enoch, Adu‐aryee, Nii Armah, Agboadoh, Nelson, Asare, Offei, Bowan, Antoinette Bediako, Brown, George Darko, Clegg‐lamptey, Joe‐nat, Dedey, Florence, Dery, Cedric, Fenu, Benjamin Sena, Harrison, Marian Abedua, Kumassah, Philemon, Kuuzie, Ekins, Nsaful, Josephine, Olayiwola, David Olatayo, Smith, Cecilia, Banka, Charles, Hussey, Romeo, Azize, Diallo Abdoul, Aniakwo, Luke Adagrah, Adofo‐asamoah, Yvonne, Agbeno, Evans Kofi, Agyapong, Meshach Manu, Agyen, Thomas, Mensah, Kwasi Agyen, Alhassan, Baba Alhaji Bin, Amoako‐boateng, Mabel, Appiah‐thompson, Peter, Gyimah, Nita Asamoa‐Manu, Asante‐bremang, Moses, Asante‐asamani, Alvin, Atawurah, Henry, Appiah, Anthony Baffour, Baidoo, Richard Ogirma, Baidoo, Ebikela Ivie, Boakye, Benedict, Boateng, Abigail, Dadoe, Dora, Dayie, Makafui Seth Caleb‐Joshua Kwasi, Debrah, Samuel, Doku, Kingsley, Enti, Enti, Ken‐amoah, Sebastian, Koggoh, Patience, Kpangkpari, Richard, Maison, Patrick, Mensah, Samuel, Mensah, Philip, Mensah, Teresa Aba, Morna, Martin Tangnaa, Nimako‐mensah, Jilac, Nkrumah, John, Nortey, Michael, Ofori, Emmaunel Owusu, Opandoh, Isabella Naa Morkor, Osei‐tutu, Ethel, Adae, Jefferson Owusu, Quansah, Kofi, Quartson, Elizabeth, Rahman, Ganiyu Adebisi, Walawah, David, Yigah, Makafui, Yussif, Safia, Jiagge, Nuna, Nachelleh, Emmanuel, Acquaye, Jane, Agbedinu, Kwabena, Agyei, Fareeda, Agyemang‐prempeh, Akosua, Amo‐antwi, Kwabena, Amoah, Michael, Amoah, George, Amoako, Yaw A, Aning, Daniel Gyawu, Ankobea‐kokroe, Frank, Mintah, Dominic Annor, Anyitey‐kokor, David, Appiah‐kubi, Adu, Arthur, Joshua, Ativor, Vincent, Barnor, Isaac, Braimah, Yasmine, Darko‐asante, Regina, Davor, Anthony, Issahalq, Mohammed Duah, Dzogbefia, Mawutor, Emile, Tano, Fiifi‐yankson, Papa, Gaveh, Valerie, Gudugbe, Senyo, Gyabaah, Solomon, Gyamfi, Frank Enoch, Gyedu, Adam, Gyimah, Derrick, Hammond, Bernard, Jonathan, Boakye‐yiadom, Joseph, Yorke, Konney, Thomas Okpoti, Konney, Anna, Kusi, Kwasi, Kyei, Ishmael, Lovi, Agbenya, Naabo, Nuhu, Nimako, Boateng, Nyadu, Beauty, Nyarko, Obed Ofori, Ofosu‐barko, Ben Blay, Oppong, Philip Peprah, Osabutey, Anita, Poku, Martha, Sagoe, Robert, Yifieyeh, Abiboye, Ansong, George, Abass, Adam, Abdul‐mumin, Alhassan, Adjeso, Theophilus, Alatiiga, John Abanga, Amadu, Munira, Annan, Nathaniel, Leal, German Azahares, Bukari, Mohammed, Buunaaim, Alexis, Cheyuo, Ernest, Salifu, Latif Daboo, Damah, Michael, Dery, Malcolm, Dzantor, Edem Kojo, Garcia, Odoniel Guerra, Baba, Yabasin Iddrisu, Issaka, Adamu, Muntaka, Abdul‐Jalilu Mohammed, Murphy, James, Agyeman, Yaa Nyarko, Amankwaa, Wisdom Opoku, Osman, Imoro, Pie, Samuel, Seidu, Anwar Sadat, Sheriff, Mohammed, Charadan, Ana Maria Simono, Titigah, Abraham, Yahaya, Mundashiru, Yakubu, Musah, Yenli, Edwin Mwintiereh Ta‐ang, Grypiotis, Ioannis, Kiriakopoulos, Nikolaos, Koliopoulos, Georgios, Kyvelos, Vasilis, Micha, Georgia, Papadopoulou, Triada, Balalis, Dimitrios, Fradelos, Evangelos, Korkolis, Dimitrios, Alexakis, Nicholas, Angelou, Kyveli, Haidopoulos, Dimitrios, Prodromidou, Anastasia, Rodolakis, Alexandros, Thomakos, Nikolaos, Psychogios, Dimitris, Antonakis, Pantelis, Bramis, Konstantinos, Chardalias, Leonidas, Contis, Ioannis, Dafnios, Nikos, Dellaportas, Dionysios, Dimitra, Papalouka, Fragkoulidis, Georgios, Gkiokas, Georgios, Gklavas, Antonios, Hadjizacharias, Theodoros, Karageorgou, Dimitra, Konstadoulakis, Manousos, Kontopoulou, Christina, Massaras, Dimitrios, Memos, Nikolaos, Papaconstantinou, Ioannis, Politis, Dimitrios, Polydorou, Andreas, Stamatis, Konstantinos, Theodosopoulos, Theodosios, Vezakis, Antonios, Avgerinos, Konstantinos, Katunin, Jevgeni, Kechagias, Aristotelis, Kelgiorgi, Dionysia, Kritikos, Neoklis, Pengermä, Pasi, Bisdas, Theodosios, Ioannidis, Argyrios, Konstantinidis, Michael, Konstantinidou, Sofia, Patelis, Nikolaos, Antonopoulou, Maria Ioanna, Deskou, Eirini, Kalles, Vasileios, Manatakis, Dimitrios K., Stamos, Nikolaos, Tasis, Nikolaos, Arkadopoulos, Nikolaos, Danias, Nikolaos, Economopoulou, Panagiota, Frountzas, Maximos, Kokoropoulos, Panagiotis, Michalopoulos, Nikolaos, Selmani, Jonida, Sidiropoulos, Theodoros, Vassiliu, Panteleimon, Paraskevas, Kosmas I., Bartziotas, Dimitrios, Bouchagier, Konstantinos, Galanis, Ilias, Kalamatianos, Theodosis, Kapiris, Stylianos, Kolinioti, Angeliki, Mavrodimitraki, Eleni, Metaxas, Panagiotis, Nikova, Alexandrina, Psarologos, Michail, Sotiropoulou, Maria, Stranjalis, George, Albanopoulos, Konstantinos, Kondilis, Panagiotis, Vrakopoulou, Gavriella Zoi, Chrysovergis, Aristeidis, Chrysovitsiotis, Georgios, Giotakis, Evangelos, Kanellopoulou, Vasiliki, Kyrodimos, Efthymios, Larentzakis, Andreas, Pantos, Pavlos, Papanikolaou, Vasileios, Potamianos, Spyridon, Theodoropoulos, Charalampos, Triantafyllou, Alexandra, Triantafyllou, Tania, Georgousi, Kleoniki, Panagiotou, Peter, Avramidis, Emmanouil, Babis, George, Zafeiris, Evangelos, Antoniou, Afroditi, Bessias, Nikolaos, Maras, Dimitris, Papas, Theofanis, Roditis, Konstantinos, Tsagkos, Ioannis, Tsiantoula, Paraskevi, Alexandrou, Andreas, Baili, Efstratia, Charalabopoulos, Alexandros, Dimitroulis, Dimitrios, Dorovinis, Panagiotis, Garoufalia, Zoe, Kanavidis, Prodromos, Karavokyros, Ioannis, Karydakis, Lysandros, Kykalos, Stylianos, Kyros, Eleandros, Machairas, Nikolaos, Mastoraki, Aikaterini, Nikiteas, Nikolaos, Papalampros, Alexandros, Schizas, Dimitrios, Skotsimara, Antonia, Stamopoulos, Paraskevas, Syllaios, Athanasios, Terras, Alexis, Tomara, Nefeli, Tsourouflis, Gerasimos, Vagios, Ilias, Zografos, Constantinos, Apostolou, Konstantinos, Georgopoulos, Nikolaos, Antoniou, Theofani, Antzaka, Christina, Falara, Areti, Fragoulis, Socrates, Ftikos, Panagiotis, Matsouka, Fedra, Perreas, Konstantinos, Rellia, Panagiota, Samara, Evangelia, Smirli, Anna, Tasouli, Androniki, Thanopoulos, Apostolos, Chalkias, Petros Loukas, Dedemadi, Georgia, Mourmouris, Panagiotis, Skolarikos, Andreas, Theochari, Nikoletta, Tzelves, Lazaros, Gaitanakis, Stylianos, Milas, Theodoros, Theodorakis, Emmanuel, Karona, Paraskevi, Kastanaki, Pagona, Tzouganakis, Angelos, Agalianos, Christos, Tsouknidas, Ioannis, Xenakis, Andreas, Chrysos, Emmanuel, Lasithiotakis, Konstantinos, Nikolouzakis, Taxiarchis, Xenaki, Sofia, Xynos, Evangelos, Lostoridis, Eftychios, Nagorni, Eleni‐aikaterini, Pujante, Antonio, Tourountzi, Paraskevi, Aggeliki, Al, Baxevanidou, Kyriaki, Bouliaris, Konstantinos, Efthimiou, Matheos, Kalfountzos, Christos, Koukoulis, Georgios, Lachanas, Vasileios, Petropoulos, Konstantinos, Tsitiridis, Ioannis, Angelis, Fragkiskos, Arnaoutoglou, Eleni, Baloyiannis, Ioannis, Bareka, Metaxia, Bouronikou, Anna, Christodoulidis, Gregory, Daponte, Alexandros, Fergadi, Maria, Gkolias, Nick, Gkrinia, Eleni, Hajiioannou, Jiannis, Kalogritsas, Nikos, Karoni, Eleni, Korais, Christos, Krestinidis, Giorgos, Ktisti, Antigoni, Magouliotis, Dimitrios, Maiou, Charikleia, Malizos, Konstantinos, Minasidou, Maria, Ntalouka, Maria, Ntziovara, Anna Maria, Palla, Effrosyni, Perivoliotis, Konstantinos, Saini, Fani, Samara, Athina, Saratziotis, Athanasios, Skoulakis, Charalampos, Solomi, Efthymios, Stamoulis, Konstantinos, Terzoudis, Christos Dimitrios, Tsironi, Evangelia, Tzovaras, George, Vallianou, Kyriaki, Zacharoulis, Dimitris, Ziogkou, Anna, Δακής, Κωνσταντί__ς, Elias, Liolis, Maroulis, Ioannis, Mulita, Francesk, Plachouri, Kerasia‐maria, Vailas, Michail, Doitsidis, Charalampos, Filo, Eva, Gkalonaki, Ioanna, Kogia, Eleni, Kontopoulou, Konstantina, Mitroudi, Magdalini, Panteli, Christina, Patoulias, Ioannis, Semkoglou, Olga Ioulia, Sfoungaris, Dimitrios, Valioulis, Ioannis, υτσ_υ μης, Γι ωργος, Astreidis, Ioannis, Christidis, Panagiotis, Ioannidis, Orestis, Loutzidou, Lydia, Mantevas, Antonis, Paraskevopoulos, Konstantinos, Tatsis, Dimitris, Athanasiadis, Apostolos, Dagklis, Themistoklis, Kalogiannidis, Ioannis, Kapetanios, Georgios, Mamopoulos, Apostolos, Margioula‐siarkou, Chrysoula, Petousis, Stamatios, Tsakiridis, Ioannis, Anthoulakis, Christos, Christou, Chrysanthos, Fantakis, Antonios, Iordanidou, Eirini, Kaselas, Christos, Panagiotidou, Sousana, Papadopoulos, Vasileios, Papavasiliou, Kyriakos, Piachas, Athanasios, Siasios, Ioannis, Spyridakis, Ioannis, Theodoridis, Theodoros, Tooulias, Andreas, Tsiridis, Eleftherios, Tsopozidi, Maria, Alemán, María, Brolo, Estuardo, Lemus, Ana Lucia, Greenberg, Jennifer, Chew, Krisna Mishel Morales, Oliva, José Rodrigo, Lima, María Alejandra De León, Muralles, Ismar Lopez, Solares, Felipe, Ajcip, Gaby, Anton, Claudia, Cojulun, Jose, Flores, Mario‐andrés, José, Noriega, Paiz, Carlos Adolfo Marroquín, Morales, Steffanía, Najera, Ramiro, Lorenzana, Eduardo Quiñónez, Rivera, Pablo, Rodas, Lesly, Santos, Victor, Sosa, Dianne, Ybarra, Natalia, Cajti, José David Pérez, Régil, Carlos, Osorio, Walter A, Arriola, Rember Rosales, Talé‐rosales, Luis‐fernando, Herrera, Danilo, Rodríguez, Servio Tulio Torres, Villeda, Sergio Alejandro, Anicetti, Joshua, Medina, Andrea Michelle Lowey, Ardebol, Javier, Barillas, Kathia, De Leon, Francis, Recinos, Salvador, Marroquin‐alpirez, Miguel‐angel, Yax, Yessica, Hon, Sophie, Liu, Yuk Ho, Liu, Alex Qinyang, Liu, Shirley, Chiu, Hei Tung Natalie, Chow, Chi Man Tom, Hau, Victor, Ho Wai, Ip, Mak, Brian, Mok, Chung Ying, Dennis, Ng, Siu, Yin Yu Eva, Wong, Kiu Fung, Jingya Jane, Pu, Yu‐xiong, Su, Au‐yeung, Kit Ying, Chan, David Yuen Chung, Chan, Albert, Chan, Shannon Melissa, Chang, Tsz Ching, Chiu, Tor Wo, Chiu, Wang Kei, Zhexi, He, Man Fung, Ho, Kevin Ki Wai, Ho, Jacky Yan Kit, Ho, Kung, Janet Wui Cheung, Lam, Cheuk Ho, Lau, Rainbow W. H., Ling, Samuel Ka Kin, Lok, Hon Ting, Mak, Tony Wing Chung, Chi‐fai, Ng, Simon, Ng, Kelvin Kwok‐Chai, Ng, Calvin S. H., Ng, Ong, Michael Tim Yun, Tan, Teresa, Tang, Sui Fan, Teoh, Jeremy Yuen‐Chun, Teoh, Anthony, Tsui, Bess Siu Yan, Wong, George Kwok Chu, Wong, Randolph, Wong, Kwok Chuen, Yee, Chi Hang, Antal, Zsuzsanna, Kalman, Attila, Voros, Peter, Bahrehmand, Kiarash, Echim, Timea, Novak, Zoltan, Sztipits, Tamás, Bihari, Laszló ádám, Hidi, László, Piros, Laszlo, Rózsa, Balazs, Sotonyi, Peter, Szatai, Lilla, Herczeg, György, Pordány, Bálint, Tornyi, Fanni, Dede, Kristof, Egyed, Tamás, Saftics, György, Kulcsicka‐gut, Judit, Sipos, Zsófia, Toth, Dezso, Patel, Bhavin, Majmudar, Hardil, Mankad, Saptak, Pathan, Sohilkhan, Sharathkumarkl, L, Sasatti, Lokesh, Mahankali, Subramanyam, Annayappa, Santhosh Kumar Sampengere, Agrawal, Tulika, Anandan, Premkumar, Baindur, Aditya, Manjunath, Bd, Savitha, C, Anitha, G S, Harigond, Sandeep, Tejeswini, K K, Kesarla, Venkatesh, Manangi, Mallikarjuna, Hareesh, P B, Ranjan, Jyothi K R, Shetty, Athish, Chikkanayakanahalli, Santhosh Shivashankar, Sunil, Tanvi, Syamala, Shreya, Tharanath, Kavya, Atal, Aditya, Rajagopal, Niranjana, Srinath, B S, Vinod, Nk, Thirumanikandan, P L, Mishra, Nitu, Shrivastava, Sushruta, Wadhwani, Rekha, Ahmad, Reyaz, Haq, Zainab Ahmad, Behera, Prateek, Dhurwe, Ritika, Haq, Rehan, Jain, Vaibhav, Jain, Anuj, Karna, Sunaina, Pushpalatha, Kameshwarachari, Raj, Sumit, Santoshi, John Ashutosh, Singh, Pooja, Verma, Virendra, Waindeskar, Vaishali, Yadav, Moorat Singh, Aziz, Zaheda, Chakraborty, Koyel, Chappity, Preetam, Das, Gurudip, Datta, Debajyoti, Jena, Saubhagya Kumar, Kar, Madhabananda, Khuntia, Susanta, Kumar, Pankaj, Kumar, Ravi, Aswathi, Kv, Mishra, Abhijeet, Mishra, Swastik, Mittal, Yash, Muduly, Dillip, Panda, Ritesh, Panigrahi, Sibasish, Parija, Sucheta, Patra, Saroj, Rout, Bikram, Sahu, Rabi, Sarkar, Saurav, Singh, Sweta, Sudha, Sanjibani, Sultania, Mahesh, Tripathy, Sujit, Varghese, Paulson, Kansay, Rajeev, Kaushik, Robin, Singh, Simrandeep, Gupta, Sunil Kumar, Khare, Siddhant, Kumar, Vishal, Mohindra, Sandeep, Patil, Ninad, Salunke, Pravin, Savlania, Ajay, Singh, Kavindra, Pradeep Krishna, Rv, Narasimhan, Gomathy, Rela, Mohamed, Appukuttan, Akhila, Goudar, Swati, Mallick, Shweta, Titus, Christi, Chidambarasamy, Ezhir Selvan, Madhavan, Devdas, Murugesan, Anandan, Narayanasamy, Kuppurajan, Barani Kumar, P B, Rajan, Firoz, Vijayaragavan, Paari, Kumar, Arvind, Borthakur, Biplob, Chauhan, Tapan Singh, Govil, Akhil, Gupta, Shubhra, Hanjoora, Vijay Mohan, Sharma, Ashish, Srivastava, Aseem, Tiwari, Saurabh, Vishwani, Vartika, Pendyala, Karuna Sree, Prasad, Navakoti, Bothra, Jyoti, Deb, Mainak, Herle, Koushik, Jayaram, Harish, Kannaiyan, Lavanya, Krithiga, Abirami, Mukta, W, Nagpal, Pooja, Pathak, Prachi, Banerjee, Sumit, Chaudhary, Ramkaran, Choudhary, Gautam Ram, Chugh, Ankita, Dixit, Pawan, Elhence, Abhay, Gahlot, Nitesh, Garg, Mayank, Ghuman, Navdeep Kaur, Jha, Deepak, Kala, Prakash, Kaur, Amanjot, Madduri, Vijay, Pandey, Himanshu, Pareek, Puneet, Pathak, Manish, Rathod, Kirtikumar J, Rodha, Mahaveer Singh, Saxena, Rahul, Sharma, Naveen, Shekhar, Shashank, Singh, Mahendra, Singh, Pratibha, Suryanarayanan, Bhaskar, Vishnoi, Jeewan Ram, Amin, Shivang, Kumar, Rohit, Sharma, Tanishq, Murugesan, Kesavan, Ramasamy, Abhinav Balachandar Subbiah, Chatterjee, Debarshi, Gerber, C Gerber, Naskar, Upasana, Aggarwal, Gaurav, Agrawal, Sanjit Kumar, Ahmed, Azaz, Gupta, Sujoy, Jain, Prateek, Jain, Deepak, Kewlani, Vishal, Pipara, Amrit, Priya, Noopur, Raja, Roopak, Shakya, Sudip, Thambudorai, Robin, Kharkongor, Dimple, Agarwal, Anjoo, Akhtar, Naseem, Anand, Akshay, Asnani, Mona, Chaturvedi, Arun, Chaurasia, Akhilanand, Enny, Loreno E., Garg, Surabhi, Gupta, Sameer, Jaiswal, Anoop Kumar, Jaiswal, Somil, Jaware, Yashpal, Kala, Navneet, Karnatak, Ruchi, Kaur, Apjit, Kumar, Vijay, Kumar, Manoj, Kumar, Ambrish, Kumar, Upander, Shrivastava, Amit Kumar, Mehrotra, Seema, Mishra, Brijesh, Mishra, Anand, Namrata, Null, Ojha, Bal Krishna, Ozair, Ahmad, Pal, Uma Shanker, Pandey, Amita, Raja, Nancy, Ramakant, Pooja, Roy, Ashutosh, Sachan, Rekha, Sankhwar, Satyanarayan, Sankhwar, Pushp, Sarin, Divya, Shukla, Ayushi, Singh, Sushil, Singh, Mohit, Singh, Kul Ranjan, Singh, Renu, Singh, Uma, Singh, Urmila, Solanki, Vandana, Sonkar, Abhinav Arun, Srivastava, Chhitij, Suryawanshi, Parijat, Tewarson, Vivek, Verma, Rajat, Verma, Manju Lata, Yadav, Awdhesh, Chand, Gyan, Chanthar, K. M. M. Vishvak, Hoysal, Dileep, Mishra, Anjali, Batra, Nitin, Bhatti, Arun, Chopra, Rupali, David, Shakina, Dhar, Tapasya, Dutt, Uma Kant, Dutta, Rohini, Gandhi, Sumir, Haque, Parvez David, Paul Sudhakar John, B, Veetil, Sreejith Kannummal, Kaur, Gurvinder, Kumar, Navneet, Luther, Anil, Mahajan, Anupam, Mahajan, Amit, Mandrelle, Kavita, Mathews, Shefin, Michael, Vishal, Mukherjee, Partho, Pargal, Pinki, Paul, Rajesh, Phillip, Anupam, Phillips, Rachel, Samuel, Abhishek, Singh, Noel, Singh, Inderjot, Singh, Abhijit, Grewal, Sarvpreet Singh, Singhania, Anusha, Thirumalai, Selven, Varghese, Ashish, Wesley, Joshua, Thomas, Josy, Zechariah, Pradeep, Ifthikar, Mariam Anjum, Mathew, Rohan Thomas, Shetty, Rohan, Vijaykumar, M Vijayakumar, Hameed, BM Zeeshan, Ibrahim, Sufyan, Jyothish, Gayathri, Krishna, Sunil, Mathew, Stanley, Kumar, Arjun Suresh, Singh, Narinder, Sinha, Piyush Kumar, Sridhar, Rachith, Agarwal, Sunny, Balasubramaniam, Srikant, Chhatrapati, Swati, Deshpande, Charulata, Dharia, Ashni, 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Priyadarshini, Suganya, S, Samuel, Habie, Samuel, Gilbert, Selvaraj, Daniel, Sharma, Srujan, Surendran, Suraj, Hariharan, T D, Thangaraj, Santhosh Kumar, Thomas, Vinotha, Thomas, Varghese, Thomas, John K, Harish, Y S, Boggavarapu, Manobhiram, Voonna, Murali Krishna, Lolobali, Marilaeta Cindryani, Ryalino, Christopher, Senapathi, Tjokorda Gde Agung, Tjokorda, Mahadewa, Widnyana, I Made Gede, Aditianingsih, Dita, Auerkari, Aino, Chandra, Susilo, Damara, Fachreza Aryo, Dilmy, Mohammad Adya Firmansha, Harzif, Achmad Kemal, Manggala, Sidharta Kusuma, Pratama, Dedy, Priyambodo, Affan, Ramlan, Andi Ade, Soenarto, Ratna Farida, Sugiarto, Adhrie, Surya, Ilham Utama, Tango, Tamara, Tantri, Aida Rosita, Zahra, Raihanita, Fachrian, Dedy, Hasyim, Andi, Susanti, Ade, Saputra, Teddy, Syarifuddin, Erwin, Islam, Andi Asadul, Pajan, Hendra, Amrullah, Ahmad Hannan, Anam, Khoirul, Hadipranata, Thirza, Sugianto, Julius Albert, Fitrisyah, Aidyl, Lestari, Mayang Indah, Lubis, Nur Rachmat, Zainal, Rizal, Zulkifli, Zulkifli, Amba, Erick Gamaliel, Lie, Warren, Thehumury, Andika Adiputra, Apriawan, Tedy, Aji, Yunus Kuntawi, Wathoni, Roidah Taqiyya Zahra, Anwar, Sumadi Lukman, Aryandono, Teguh, Harahap, Wirsma Arif, Kurniawaty, Juni, Sari, Djayanti, Wahyono, Artanto, Widyastuti, Yunita, Jufan, Akhmad Yun, Arjmand, Parisa, Etezadpour, Mohammad, Ganjeifar, Babak, Hosseinpoor, Masoumeh, Mehrad‐majd, Hassan, Rajati, Mohsen, Assadi, Reza, Noori, Ehsan, Rajaei, Parisa, Hajisadeghi, Samira, Mehdizadeh, Mohammad, Soltani, Mina, Alizadeh, Narges, Nia, Gholamreza Azarnia Azar, Heidari, Hamid, Zavareh, Seyedmohamad Hosseini Zavareh Hosseini, Pour, Ali Moazami Pour Moazami, Savaddar, Farokh, Vahedian, Mostafa, Amouzegar, Hoora, Bahadorzadeh, Mojdeh, Hemmasi, Seyedeh Homa, Kachoie, Ahmad, Karimi, Ali Karimi, Miraj, Sepideh, Mirzaie, Monireh, Mokarami, Hossein Mokarami, Salimi, Amrollah, Ahangari, Roghayyeh, Ahmadvand, Ali, Bashiri, Ali, Borhani, Morteza, Haidari, Mohammad, Khosroshahi, Mohammad Taghi Imani, Bini, Shahrokh Jahan, Koosha, Mohsen, Moslemi, Mohammad Kazem, Naghibi, Ali, Tehrani, Shahrzad, Yazdi, Zahra, Adeli, Seyyed Hassan, Alborzi, Majid, Bagheri, Hamed, Eshraghi, Mohsen, Manesh, Hassan Fatemi, Ghomeisi, Mohammad, Hejazi, Seyed Fakhreddin, Madani, Saeed, Motahaver, Nima Najafian, Norouzi, Samieh, Modarres, Mahdi Pezeshki, Shafiee, Ali, Vafaeimanesh, Jamshid, Yusefi, Hossein, Hosseini, Elahe, Medhati, Pourya, Nikoupour, Hamed, Aghazadeh, Kayvan, Bastaninejad, Shahin, Dabirmoghaddam, Payman, Erfanian, Reza, Firouzifar, Mohammadreza, Heidari, Farrokh, Irani, Shirin, Karimi, Ebrahim, Kouhi, Ali, Zarandy, Masoud Motasaddi, Anari, Mahtab Rabbani, Sandoughdaran, Saleh, Sohrabpour, Saeed, Tajdini, Ardavan, Yazdani, Nasrin, Bagheri, Nima, Javadi, Seyed Amir, Kalantar, Seyed Hadi, Keneshlou, Farzaneh, Khan, Zahid Hussain, Mortazavi, SM Javad, Ahmadi, Sayedali, Hatam, Jaber, Nabian, Mohammad Hossein, Zanjani, Leila Oryadi, Vosoughi, Fardis, Golbakhsh, Mohammadreza, Shafiei, Seyyed Hossein, Siavashi, Babak, Al‐isawi, Ali, Al‐masood, Mohammed, Al‐najjar, Dania, Gahtan, Yarub, Nabil, Sara, Hameed, Najat Abdul, Hameed, Jumana Abdul, Ahmed, Abdullah, Akadh, Ali, Hussein, Rand, Aljebur, Abbas, Hassan, Sadik, Ali, Haithem Hussein, Al‐hasani, Fahad, Ibrahim, Mustafa Wameedh, Saeed, Mubder Mohammed, Muhssein, Haidar, Akindoyin, Success, Barry, Stevie, Dewan, Nikhil, Ekwere, Bosom, Essajee, Murtaza, Langhe, Ream, Marshall, Calista, Musa, Darya, Ahmad, Zeeshan, Andrews, Emmet, Chin, Bruno Chan, Corrigan, Mark, Murphy, Amy Edwards, Foley, Niamh, Gardiner, Padraig, Hechtl, Daniel, Hsiao, Michelle, Kayyal, Mohd Yasser, Killeen, Shane, Lyons, Maria, Burke, Cathy, Hewitt, Matt, Mohamed, Marwa, Nazir, Syeda Farah, Mei Yee, Ng, Wahab, Nor Azlia Abdul, Monteith, Cathy, Oduola, Oladayo, Aljohmani, Lylas, Nugent, Timothy, Corr, Paula, Crone, Lauren, Harris, Johnathon, Hill, Arnold, Kearney, David, Keenan, Robert Anthony, Nolan, Deirdre, Ryan, James, Hehir, Mark Philip, Regan, Carmen, Geary, Michael, Malone, Fergal, Mccarthy, Claire, O’Connor, Donal B, Considine, Shane, Donohoe, Emma, Herron, Caroline, Larkin, John, Lynch, Thomas Hugh, Maguire, Barry, Manecksha, Rustom, Carthy, Andrea Mc, Nagassima, Katharina, O’Sullivan, Erica, Rohan, Pat, Roopnarinesingh, Ryan, Salloum, Salloum, Aherne, Thomas, Barry, Mary, Bowen, Gareth John, Boyle, Ellen, Dowdall, Joseph, Hanly, Ann, Hassanin, Ahmed, Heneghan, Helen, Hurson, Conor, Kelly, Orlaith, Kennelly, Rory, Kiernan, Aoife, Martin, Sean T, Masarani, Nawar, Mccartan, Damian, Mcdermott, Enda W, Murphy, Ben, Kin Cheung, Ng, Njeze, Nwabundo, O’Neill, Aine, Prichard, Ruth S, Quirke, Ned, Reynolds, Ian Sean, Winter, Des, Casey, Rowan, Elamin, Mutaz, Gillis, Amy, Kavanagh, Dara, Kelly, Michael, Mcnamee, Áine, Neary, Paul, Owens, Patrick, Ravi, Akshaya, Ridgway, Paul, Carroll, Paul, Collins, Chris, Dhannoon, Amenah, Fowler, Amy, Hogan, Aisling, Lowery, Aoife, Mcanena, Peter, Timon, Charlie, Walsh, Stewart, Al‐ramli, Wisam, Azeem, Imran, Bahadoor, Muhammad Usaama, Bodnar, Zsolt, Elmusharaf, Hassan, Hassan, Faisal Saeed, Hingum, Adam, Huan, Huilun, Jennings, Seamus, Khalid, Mohamed Hamed, Kuteva, Mariya, Mujtaba, Syed Nadeem, Peeriyah, Shanell, Rehman, Hina, Sarwar, Muhammad Assam, Shaju, Tony, Stephens, Ian, Sugrue, Michael, Thomas, Joseph, Varzgalis, Manvydas, Zeeshan, Saqib, Jaffer, Alisha, Jones‐whiting, Larne, Peirce, Colin, Johnston, Sean, Lim, Seantee, Abdelgadir, Alwaleed, Al‐mukhaizeem, Youssef, Cooke, Fiachra, Crowley, Clare, Cullen, Ivor, Flanagan, Michael, Fogarty, Amy, Glynn, Orna, Martinez, Claudia Guerrero, Hamza, Mohamed Alfatih, Hassan, Mekki, Hegazy, Ibrahim, Hill, Rhodri, Kazim, Amr, Khalid, Azriny Shaziela, Khalid, Muhammad Abdullah, Majeed, Zubair, Manning, Aidan, Mccullough, Peter, Murphy, Seamus, Neary, Peter, Noone, Anthony, O’Donoghue, Gerrard, O’Kelly, John, Odonnell, Eddie, Osman, Elaf, Ryan, Jessica, Saeed, Rafeh, Arar, Ahmad Abo, Abed, Arsan Abu, Dykman, Daniel, Elnassasra, 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Martines, Gennaro, Papagni, Vincenzo, Picciariello, Arcangelo, Magnone, Stefano, Pisano, Michele, Poiasina, Elia, Alberici, Laura, Antonacci, Filippo, Arena, Alessandro, Belvedere, Angela, Bernagozzi, Fabio, Bernante, Paolo, Bertoglio, Pietro, Bianchi, Lorenzo, Bisulli, Maria, Bonfanti, Barbara, Boussedra, Safia, Brandolini, Jury, Cacciapuoti, Crescenzo, Cardelli, Stefano, Casadei, Riccardo, Cescon, Matteo, Cipolli, Alessandro, Cipriani, Riccardo, Contu, Luca, Costa, Francesco, Daddi, Niccolo, De Crescenzo, Eugenia, De Iaco, Pierandrea, De Palma, Alessandra, Del Gaudio, Massimo, Gatta, Anna Nunzia Della, Dolci, Giampiero, Dondi, Giulia, Droghetti, Matteo, Parri, Sergio Nicola Forti, Garelli, Elena, Gelati, Chiara, Germinario, Giuliana, Giorgini, Federico A., Ingaldi, Carlo, Jovine, Elio, Kawamukai, Kenji, Lanci, Antonio Lanci, Lombardi, Raffaele, Miralles, Maria Elisa Lozano, Marchetti, Claudio, Masetti, Michele, Minni, Francesco, Morezzi, Daniele, Parlanti, Daniele, Pellegrini, Alice, Perrone, Anna Myriam, Pezzuto, Anna Paola, Pignatti, Marco, Pilu, Gianluigi, Pinto, Valentina, Poggioli, Gilberto, Puglisi, Silvana Bernadetta, Raimondo, Diego, Ravaioli, Matteo, Ricci, Claudio, Ricciardi, Sara, Ricotta, Francesco, Rizzo, Roberta, Romano, Angela, Rottoli, Matteo, Schiavina, Riccardo, Seracchioli, Renato, Serenari, Matteo, Serra, Margherita, Solli, Piergiorgio, Sorbi, Gioia, Taffurelli, Mario, Tanzanu, Marta, Tarsitano, Achille, Tesei, Marco, Vago, Gabriele, Violante, Tommaso, Zanotti, Simone, Aspide, Raffaele, Bertolini, Giacomo, Bortolotti, Carlo, Carretta, Alessandro, Caruso, Ambra, Conti, Alfredo, De Vita, Carla, Friso, Filippo, La Corte, Emanuele, Mazzatenta, Diego, Pirina, Alessandro, Rosetti, Vittoria, Sturiale, Carmelo, Vincenzi, Matteo, Zoli, Matteo, Castagnini, Francesco, Donati, Davide Maria, Frisoni, Tommaso, Lucchini, Stefano, Palmerini, Emanuela, Traina, Francesco, Baietti, Anna Maria, Berselli, Bruno, Bolognesi, Silvia, Fabbri, Erich, Farnia, Francesco, 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Scandura, Carmen Emanuela, Barca, Ida, Carnevali, Adriano, Carpino, Antonio, Cristofaro, Maria Giulia, De Paola, Gilda, Giannaccare, Giuseppe, Novembre, Daniela, Sammarco, Giuseppe, Scorcia, Vincenzo, Angeli Christy, Yu, D’Andrea, Marcello, Mongardi, Lorenzo, Tosatto, Luigino, Barone, Mirko, Mucilli, Felice, Muraglia, Angelo, Caserini, Ottavia, Giuliani, Domenico Benvenuto, Monti, Marco, Morello, Alessia, Segalini, Edoardo, Borghi, Felice, Cianflocca, Desiree, Daniele, Alberto, Donati, Danilo, Gelarda, Enrico, Giraudo, Giorgio, Giuffrida, Maria Carmela, Marano, Alessandra, Olearo, Elena, Ciarello, Vincenzo Pruiti, Puppo, Andrea, Testa, Valentina, Giacometti, Marco, Zonta, Sandro, Monti, Eleonora, Porta, Andrea, Sambucci, Daniele, Birindelli, Arianna, Carrara, Barbara, Compagnoni, Bruno, Del Giudice, Roberto, Dester, Sara Elisabetta, Lomiento, Daniele, Ruggiero, Silvia, Taglietti, Lucio, Viotti, Fabio, Lacavalla, Domenico, Occhionorelli, Savino, Rubbini, Michele, Bernabei, Massimiliano, Fabbri, Nicolò, Fazzin, Marta, Feo, Carlo V., Torchiaro, Marco, Costi, Renato, Virgilio, Edoardo, Arlia, Lorenzo, Barbato, Giuseppe, Bartolini, Ilenia, Bottari, Andrea, Bruno, Chiara, Bruscino, Alessandro, Checcucci, Carlotta, Cianchi, Fabio, Coratti, Francesco, De Vincenti, Rosita, Di Bella, Annamaria, Fambrini, Massimiliano, Fortuna, Laura, Gallo, Oreste, Gigliucci, Giacomo, Locatello, Luca Giovanni, Maltinti, Gherardo, Martellucci, Jacopo, Prosperi, Paolo, Ringressi, Maria Novella, Sorbi, Flavia, Staderini, Fabio, Taddei, Antonio, Anastasi, Alessandro, Canonico, Giuseppe, Chisci, Emiliano, Gabellini, Linda, Masciello, Fabrizio, Michelagnoli, Stefano, Nelli, Tommaso, Tirloni, Luca, Alemanno, Giovanni, Arminio, Armando, Beck, Renata, Bergamini, Carlo, Cotoia, Antonella, Lizzi, Vincenzo, Maccagnano, Giuseppe, Pesce, Vito, Sarni, Antonio Luciano, Tartaglia, Nicola, Vovola, Fernanda, Avanzolini, Andrea, Bocchino, Antonio, Bova, Raffaele, Cavaliere, Davide, D’Acapito, Fabrizio, Ercolani, 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Antonino Francesco, Mazzeo, Carmelo, Bertoglio, Camillo Leonardo, De Martini, Paolo, Ferrari, Giovanni, Giani, Alessandro, Lombardi, Pietro Maria, Mazzola, Michele, Baldari, Ludovica, Bissacco, Daniele, Boni, Luigi, Cassinotti, Elisa, Domanin, Maurizio, Pignataro, Lorenzo, Torretta, Sara, Trimarchi, Santi, Armellin, Daniele, Basato, Silvia, Bernardi, Laura, Bunino, Francesca, Capretti, Giovanni, Carrano, Francesco Maria, Castoro, Carlo, Colombo, Giovanni, Costantino, Andrea, De Lucia, Francesca, De Virgilio, Armando, Di Bari, Matteo, Ferreli, Fabio, Gaino, Francesca, Gramellini, Marco, La Raja, Carlotta, Malvezzi, Luca, Marano, Salvatore, Mercante, Giuseppe, Milana, Flavio, Nappo, Gennaro, Peros, Georgios, Pirola, Francesca, Rossi, Vanessa, Russo, Elena, Spriano, Giuseppe, Tamburello, Sara, Zerbi, Alessandro, Aiolfi, Alberto, Bona, Davide, Sozzi, Andrea, Adamoli, Laura, Ansarin, Mohssen, Bertolaccini, Luca, Cenciarelli, Sabine, Chu, Francesco, De Berardinis, Rita, Romario, Uberto 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Ferdinando, Sileri, Pierpaolo, Spina, Alfio, Vignali, Andrea, Barberio, Cristina, Beretta, Luigi, Cavenago, Francesca, Di Tomasso, Nora, Fresilli, Stefano, Landoni, Giovanni, Lazzari, Stefano, Lombardi, Gaetano, Marmiere, Marilena, Monaco, Fabrizio, Todaro, Gabriele, Turi, Stefano, Zangrillo, Alberto, Bertolina, Francesca, Bogani, Giorgio, Bonomi, Stefano, Cadenelli, Pierfrancesco, Chiappa, Valentina, Cioffi, Stefano Piero Bernardo, Citterio, Davide, Comini, Lara Valentina, Cortinovis, Umberto, Cosimelli, Maurizio, Ditto, Antonino, Gennaro, Massimiliano, Giannini, Lorenzo, Guaglio, Marcello, Guzzo, Marco, Leva, Andrea, Macchi, Alberto, Manzo, Elena, Martinelli, Fabio, Mattavelli, Ilaria, Mazzaferro, Vincenzo Maria, Raspagliesi, Francesco, Rolli, Luigi, Sala, Laura, Salvioni, Roberto, Santinami, Mario, Segattini, Silvia, Sorrentino, Luca, Zaborra, Carlotta, Anesi, Alexandre, Pattacini, Gianmaria Casoni, Di Bartolomeo, Mattia, Pecchini, Francesca, Pellacani, Arrigo, Piccoli, Micaela, Fusini, Federico, Gattolin, Andrea, Migliore, Marco, Rimonda, Roberto, Sasia, Diego, Travaglio, Elisabetta, Brunetti, Federica, Cereda, Marco, Ceresoli, Marco, Cigagna, Luca, Dell’Oro, Cristina, Fogliati, Alessandro, Fruscio, Robert, Grassi, Tommaso, Isabella, Maini Marzia, Nespoli, Luca Carlo, Oldani, Massimo, Ornaghi, Sara, Tamini, Nicolò, Antropoli, Carmine, Castaldi, Antonio, Palumbo, Alessio, Altieri, Gaia, Bracale, Umberto, Corcione, Francesco, De Luca, Marcello, De Palma, Giovanni Domenico, Di NUZZO, Maria Michela, Lionetti, Ruggero, Bue, Dalila Loredana Lo, Luglio, Gaetano, Pagano, Gianluca, Peltrini, Roberto, Pirozzi, Nello, Tropeano, Francesca Paola, Aversano, Alessia, Belli, Andrea, D’Amico, Maria, Delrio, Paolo, Izzo, Francesco, Patrone, Renato, Rega, Daniela, Maida, Pietro, Marra, Ester, Marte, Gianpaolo, Tufo, Andrea, Bianco, Francesco, Cappiello, Antonio, Gili, Simona, Incollingo, Paola, Novi, Alessandra, Bagaglini, Giulia, Iovino, Claudio, Tasselli, Francesco Menegon, 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Andreani, Lorenzo, Antonio, Darienzo, Aprile, Vittorio, Balestri, Riccardo, Benettini, Giacomo, Berrettini, Stefano, Bruschini, Luca, Chiarugi, Massimo, Coccolini, Federico, Colangeli, Simone, Cremonini, Camilla, Mencacci, Lodovica Cristofani, Dallan, Iacopo, De Santi, Silvia, Di Franco, Gregorio, Di Girolami, Lorena, Fiacchini, Giacomo, Furbetta, Niccolò, Korasidis, Stylianos, Lucchi, Marco, Morandi, Andrea, Morelli, Luca, Musetti, Serena, Neri, Carlo Maria, Palmeri, Matteo, Picariello, Miriana, Porcelli, Francesco, Puccini, Marco, Roffi, Nicolo, Statuti, Erica, Tartaglia, Dario, Tonelli, Alberto, Vianini, Matteo, Baronio, Gianluca, Montuori, Mauro, Pinotti, Enrico, Basso, Stefano Maria Massimiliano, Maffeis, Federica, Ubiali, Paolo, Aguzzoli, Lorenzo, Coiro, Saverio, Falco, Giuseppe, Mandato, Vincenzo Dario, Mastrofilippo, Valentina, Mele, Simone, Baldi, Caterina, Corbellini, Carlo, Sampietro, Gianluca Matteo, Dugo, Massimo, Garino, Mauro, Marafante, Chiara, Masciandaro, Antonio, Moggia, Elisabetta, Murgese, Alessandra, Agro, Felice Eugenio, Capolupo, Gabriella Teresa, Carannante, Filippo, Caricato, Marco, Denaro, Vincenzo, Mazzotta, Erica, Papalia, Rocco, Pascarella, Giuseppe, Strumia, Alessandro, Zampogna, Biagio, Cinquepalmi, Matteo, Colasanti, Marco, Del Basso, Celeste, Falaschi, Federica, Guglielmo, Nicola, Meniconi, Roberto Luca, Pecoraro, Alessandra, Usai, Sofia, Crescentini, Giacomo, Larcinese, Antonella, Picone, Emanuele, Sinibaldi, Giovanni, Agnes, Annamaria, Agnes, Salvatore, Alfieri, Sergio, Belia, Francesco, Bianchi, Valentina, Bianco, Giuseppe, Biondi, Alberto, Campennì, Paola, Cozza, Valerio, D’Archi, Sabatino, D’Ugo, Domenico, De Simone, Veronica, Di Grezia, Marta, Di Lorenzo, Sofia, Ferracci, Federica, Fico, Valeria, Franceschini, Gianluca, Fransvea, Pietro, Gasparini, Giulio, Gordini, Luca, La Greca, Antonio, Litta, Francesco, Lombardi, Celestino Pio, Marra, Angelo Alessandro, Parello, Angelo, Pascale, Marco Maria, Patini, Romeo, Pepe, Gilda, Persiani, Roberto, Puccioni, Caterina, Ratto, Carlo, Rosa, Fausto, Saponaro, Gianmarco, Scardina, Lorenzo, Silvia, Tedesco, Tropeano, Giuseppe, Benevolo, Maria, Bugada, Daniele, Campo, Flaminia, Dona, Maria Gabriella, Manciocco, Valentina, Marchesi, Paolo, Mastroianni, Riccardo, Mazzola, Francesco, Moretto, Silvia, Pellini, Raul, Petruzzi, Gerardo, Pichi, Barbara, Simone, Giuseppe, Tuderti, Gabriele, Zocchi, Jacopo, Cosentino, Luigi Marino, Sagnotta, Andrea, Angelico, Roberta, Bellato, Vittoria, Campanelli, Michela, Franceschilli, Marzia, Grande, Michele, Lisi, Giorgio, Manzia, Tommaso Maria, Petagna, Lorenzo, Sensi, Bruno, Sica, Giuseppe, Siragusa, Leandro, Tisone, Giuseppe, Assenza, Marco, Binda, Barbara, Biondi, Massimo, Brachini, Gioia, Bruzzaniti, Placido, Casagrande, Mauro, Ciccarone, Flavia, Cicerchia, Pierfranco Maria, Cirillo, Bruno, Crocetti, Daniele, D’Ambrosio, Giancarlo, D’Andrea, Vito, De Felice, Francesca, De Toma, Giorgio, Rocca, Carlo Della, Duranti, Giulia, Familiari, Pietro, Fiori, Enrico, Fonsi, Giovanni Battista, Frati, Alessandro, La Rocca, Stefania, La Torre, Filippo, Lapolla, Pierfrancesco, Marruzzo, Giovanni, Meneghini, Simona, Mingoli, Andrea, Picchetto, Andrea, Polimeni, Antonella, Ribuffo, Diego, Salvati, Maurizio, Santoro, Antonio, Sapienza, Paolo, Simonelli, Luigi, Valentini, Valentino, Zambon, Martina, Zancana, Giuseppa, Zuppi, Emma, D’Annunzio, Simone, De Nunzio, Cosimo, Fiorelli, Silvia, Ibrahim, Mohsen, Loffredo, Chiara, Massullo, Domenico, Menna, Cecilia, Monica, Rocco, Pelli, Massimiliano, Rendina, Erino Angelo, Teodonio, Leonardo, Tubaro, Andrea, Argenio, Giulio, Accarino, Giulio, Giancarlo, Accarino, Giordano, Antonio Nicola, Cardinali, Luca, Sebastiani, Elisa, Travaglini, Grazia, Andreatta, Erika, Asti, Emanuele Luigi Giuseppe, Bernardi, Daniele, Bonavina, Luigi, Froiio, Caterina, Lovece, Andrea, Copelli, Chiara, Manfuso, Alfonso, Di Maio, Pasquale, Giudice, Marco, Iocca, Oreste, Cennamo, Rosario, Cornali, Tommaso, Di Marzo, Francesco, Altana, Cristian, Bussu, Francesco, Capobianco, Giampiero, Carta, Anna Giacomina, Ciccarello, Sandro, Cossu, Maria Laura, Cottu, Pietrina, De Riu, Giacomo, Dessole, Salvatore, Dessole, Francesco, Dettori, Salvatora, Doria, Carlo, Fancellu, Alessandro, Feo, Claudio F, Ginesu, Giorgio Carlo, Giuliani, Giuliana, Iannuccelli, Marco Giuseppe, Madonia, Massimo, Mancino, Roberto, Massarelli, Olindo, Meloni, Gianfranco, Milia, Fabio, Mulliri, Andrea, Perra, Teresa, Petrillo, Marco, Piras, Antonio, Piredda, Franco, Pisanu, Francesco, Porcu, Alberto, Rizzo, Davide, Sanna, Angelino, Scanu, Antonio Mario, Scognamillo, Fabrizio, Soma, Damiano, Tanca, Anna Rita, Tedde, Alessandro, Tedde, Matteo, Vaira, Luigi Angelo, Pazzi, Andrea Bartalini Cinughi, Samorani, Osvaldo Carpineto, Fusario, Daniele, Marano, Luigi, Oldrà, Gaia, Pesce, Anna Lisa, Piccioni, Stefania Angela, Resca, Luca, Ricchiuti, Vincenzo, Roviello, Franco, Savelli, Vinno, Abrate, Alberto, Bordoni, Pierpaolo, Bosio, Lorenzo, Clarizia, Guglielmo, Fleres, Francesco, Franzini, Marco, Fratto, Antonio, Giumelli, Pierluigi, Grechi, Alessandro, Longhini, Alessandro, Lorusso, Fabrizio, Scarnecchia, Elisa, Scolari, Federica, Spolini, Alessandro, Maiuri, Vincenzo, Papandrea, Matteo, Roncone, Arturo, Conti, Lorenzo, Rizzi, Andrea, Rovagnati, Marco, Brolese, Alberto, Cai, Tommaso, Ciarleglio, Francesco Antonio, Dalprà, Francesca, Malossini, Gianni, Mereu, Liliana, Tamanini, Irene, Tateo, Saverio, Viel, Giovanni, Battistella, Enrico, Rizzo, Paolo Boscolo, Fabbris, Cristoforo, Massani, Marco, Spinato, Giacomo, Tutino, Roberta, Grossi, Ugo, Iacomino, Alessandro, Novello, Simone, Romano, Maurizio, Rossi, Serena, Santoro, Giulio, Zanus, Giacomo, Trungu, Sokol, Aizza, Giada, Bellio, Gabriele, Bogoni, Selene, Bortul, Marina, Casagranda, Biagio, Cortinovis, Sara, Manzini, Nicolò, Drigo, Davide, Germani, Paola, Mastronardi, Manuela, Paiano, Lucia, Palmisano, Silvia, Filosso, Pier Luigi, Guerrera, Francesco, Marro, Matteo, Rinaldi, Mauro, Ruffini, Enrico, Salizzoni, Stefano, Bardelli, Laura, Berselli, Mattia, Borroni, Giacomo, Cocozza, Eugenio, Desio, Matteo, Elisa, Bottazzoli, Ietto, Giuseppe, Iori, Valentina, Iovino, Domenico, Livraghi, Lorenzo, Marchionini, Valentina, Megna, Stefano, Nahal, Emma Amal, Palumbo, Mara, Quintodei, Valeria, Zullo, Alessandra, D’Alimonte, Lucrezia, Pirozzolo, Giovanni, Vignotto, Chiara, Campagnaro, Tommaso, Caravati, Andrea, Conci, Simone, De Cristofaro, Carlotta, Gecchele, Gabriele, Giuliani, Tommaso, Graziosi, Jacopo, Guglielmi, Alfredo, Paiella, Salvatore, Pedrazzani, Corrado, Pollini, Tommaso, Rattizzato, Simone, Ruzzenente, Andrea, Salvia, Roberto, Turri, Giulia, Bacchion, Matilde, Butturini, Giovanni, Casaril, Andrea, Giardino, Alessandro, Impellizzeri, Harmony, Inama, Marco, Isabella, Frigerio, Moretto, Gianluigi, De Zuanni, Marco, Deiana, Enrica, Guglielmo, Mario, Broglia, Alessandro, Casarini, Claudia, Zingaretti, Caterina Costanza, Bonaldi, Marta, Cesana, Giovanni, Mastriale, Francesco, Olmi, Stefano, Fukami, Matteo Uccelli Yasuyuki, Saito, Takuya, Sano, Tsuyoshi, Hirai, Naoki, Hirota, Kazuyoshi, Kushikata, Tetsuya, Oyama, Tasuku, Saito, Junichi, Ishibashi, Katsuhiko, Kamiyama, Mizue, Son, Kyongsuk, Tarao, Kentaroh, Yamada, Takayuki, Shiga, Toshiya, Aze, Chisaki, Deguchi, Yoshihiko, Hasegawa, Hirotoshi, Hoshino, Tatsuki, Innami, Yasushi, Inoue, Hiroyuki, Ito, Shingo, Nomura, Takeshi, Ogihara, Tomomi, Okada, Reina, Ouchi, Takashi, Sekiya, Yuri, Tachibana, Keikoku, Takano, Emi, Yamamoto, Masae, Matsuda, Shuko, Matsuki, Yuka, Shigemi, Kenji, Hiraki, Teruyuki, Inoue, Yui, Jotaki, Shosaburo, Abe, Tatsuro, Eto, Masatoshi, Inokuchi, Junichi, Kashiwagi, Eiji, Kinoshita, Fumio, Kobayashi, Satoshi, Lee, Ken, Matsumoto, Takashi, Monji, Keisuke, Naganuma, Hidekazu, Shiota, Masaki, Takeuchi, Ario, Obara, Shinju, Takatsuki, Saori, Tanaka, Saori, Iida, Koji, Kagawa, Kota, Neshige, Shuichiro, Chaki, Tomohiro, Hirata, Naoyuki, Kazuma, Satoshi, Kimizuka, Motonobu, Kumita, Sho, Nishihara, Noriaki, Satoshi, Sato, Sawada, Atsushi, Tachibana, Shunsuke, Yamakage, Michiaki, Nakamura, Yuta, Sato, Kozo, Irie, Tomoya, Irisawa, Tomoko, Kanemaru, Eiki, Koga, Yuko, Chiba, Yoshihiko, Makino, Jun, Ohama, Shinnosuke, Okada, Shinichiro, Teruaki, Kano, Kida, Tatsuya, Takei, Tomohide, Hanazaki, Kazuhiro, Kitagawa, Hiroyuki, Namikawa, Tsutomu, Mizota, Toshiyuki, Takeda, Chikashi, Yagi, Shintaro, Imai, Hiroshi, Ishitobi, Makoto, Kato, Manabu, Nishikawa, Kouhei, Sasaki, Takeshi, Yonekura, Hiroshi, Kanaya, Akihiro, Irimada, Daisuke, Ishikawa, Haruka, Kaiho, Yu, Ida, Mitsuru, Kawaguchi, Masahiko, Kawamura, Kenji, Ogawa, Munehiro, Okada, Hiroshi, Endo, Shunji, Fujiwara, Yoshinori, Higashida, Masaharu, Kubota, Hisako, Okada, Toshimasa, Tanaka, Hironori, Ueno, Tomio, Yoshimatsu, Kazuhiko, Kikukawa, Motohiro, Kuriyama, Akira, Matsushime, Susumu, Hidehiko, Hishikawa, Hino, Haruaki, Hisamatsu, Yoji, Kamiya, Akio, Kinoshita, Hidefumi, Kita, Masato, Kobayashi, Toshinori, Michiura, Taku, Miki, Hirokazu, Murakawa, Tomohiro, Okada, Hidetaka, Saito, Tomohito, Saito, Ryoichi, Sugi, Motohiko, Sumi, Genichiro, Yamaki, So, Yamamoto, Tomohisa, Yoshida, Aya, Kambara, Tatsuya, Kanematsu, Sayaka, Satoshi, Okazaki, Hijikawa, Takeshi, Kitade, Hiroaki, Yanagida, Hidesuke, Fujita, Tomoyuki, Fukushima, Satsuki, Tadokoro, Naoki, Furukawa, Taku, Iizuka, Yusuke, Otsuka, Yuji, Sanui, Masamitsu, Sawada, Ikumi, Iwahashi, Hideki, Miyamoto, Morikazu, Takano, Masashi, Mieda, Tsutomu, Ando, Chihiro, Isada, Tetsuro, Ishizaki, Taku, Amer, Qaed Bani, Ishida, Sachi, Kobayashi, Yasuma, Kuratani, Norifumi, Sakurai, Tomoe, Takada, Misa, Iba, Yutaka, Tsukagoshi, Junji, Yamada, Akira, Amano, Yuki, Fumoto, Kentaro, Noro, Shusaku, Fujimoto, Ayataka, Tomoto, Kyoichi, Okamura, Yukiyasu, Sugiura, Teiichi, Uesaka, Katshuhiko, Takemura, Natsuki, Kuroda, Kento, Hayashi, Megumi, Kaneko, Satoi, Kawagoe, Izumi, Kochiyama, Tsukasa, Yamaguchi, Ai, Abe, Nobutsugu, Ando, Tadao, Chinzei, Mieko, Hirano, Kouichi, Kobayashi, Yoichi, Matsuki, Ryota, Matsumoto, Hironori, Motoyasu, Akira, Nakazawa, Harumasa, Noguchi, Hikari, Okamura, Kaio, Ono, Motoaki, Seki, Hiroyuki, Sunami, Eiji, Tajima, Atsushi, Tanigaki, Shinji, Uzawa, Kohji, Watanabe, Hidenobu, Furuhata, Yukari, Toyama, Satoshi, Uchida, Tokujiro, Enomoto, Yutaka, Furukawa, Yuri, Hasumi, Yoko, Hirota, Jinso, Iida, Katsuyuki, Ikeda, Shingo, Ikeda, Tatsuhiko, Kawamata, Natsuko, Kawasaki, Yosuke, Koizumi, Minako, Kono, Yoshiharu, Kuzuhara, Shigeki, Maeda, Junichi, Moriyama, Mai, Nagamoto, Shoichi, Nakanishi, Rinako, Noda, Michio, Seichi, Atsushi, Takahashi, Shintaro, Takashi, Kobayashi, Takeda, Misuzu, Tanakura, Kenta, Terajima, Katsuyuki, Tsuji, Munechika, Ueshima, Chiharu, Yamamoto, Naoya, Yamamoto, Mari, Yokota, Toshiya, Yoshioka, Yuki, Yuri, Sakoh, Iwata, Shintaro, Kawai, Akira, Osaki, Shuhei, Ishikawa, Masashi, Iwasaki, Masae, Morita, Tomonori, Hirooka, Reina, Nakata, Yoshinori, Sawamura, Shigehito, Ishida, Yusuke, Kawachi, Aya, Kobayashi, Takayuki, Nagashima, Fumiaki, Suzuki, Naoki, Ando, Kohei, Miyazawa, Noriko, Tanaka, Yukio, Abuissa, Khatab, Aljabali, Alaa, Almasri, Amal, Alrabadi, Mera, Alshara, Rana, Alzghoul, Yasmeen, Alzughoul, Ahmed, Freihat, Ali, Jeitan, Emran, Owais, Qais, Smadi, Aseel, Abukhadra, Mahmoud, Abunawas, Huthifa, Al‐azzam, Abdallah Ahmed Mezel, Aladaileh, Ammar, Albadawi, Ismail, Alhawatmeh, Mohammad, Alkhaza’Leh, Mohannad Yaser, Alneimat, Roaa Salem Jwaid, Alwahedy, Saba, Alwardat, Abdel Rahman Mohannad Ahmad, Dhoon, Slsabela, El‐qawaqzeh, Khaled, Hrerat, Tarteel, Jaradat, Enas, Mubaydeen, Teeba, Sarayrah, Husam, Tarawneh, Mohammad Abdel Elah A., Karasneh, Mohammad Yousef, Zurgan, Amany, Alassaf, Mohammad, Alzraikat, Sayel H., Amarin, Justin Z., Hijjawi, Ahmed, Suradi, Haya H., Zaghlol, Louay Y., Abdalah, Ahmad, Abdallah, Ghaida, Tarieh, Ammar Abu, Abu‐libdeh, Tareq, Abualteen, Faisal, Al Abdallah, Murad, Al Bdour, Zakaria, Al Dahabrh, Seif, Al‐kasaji, Farah, Ali, Zaid Al‐sheikh, Al‐thaher, Mohammad, Alnajjar, Tareq, Alqedrh, Mohannad, Alsaleh, Mohammad, Alzaatreh, Mohammad, Amayreh, Ghandi, Ayasra, Yazeed, Eid, Ahmad, Ghayada, Ibrahim, Moh’d Ahmed Hasanein, Khaled, Hassouneh, Anas, Hijazeen, Raid, Hmeidan, Majedah, Khaled, Ahmed, Khasawneh, Barihan, Kifayeh, Omar, Lafi, Yasser, Seba, Jasem, Semrin, Qusai, Sma, Fda, Theab, Mohammad, Tumeh, Haitham, Zaid, Muna Aba, Abazeed, Alaa, Abbad, Bader, Abbadi, Osaid, Abu‐ishkerih, Nizar, Al‐osta, Malk, Al‐zyadat, Reham, Alawneh, Bashar Omar Falah, Alhattab, Majd, Alkurdieh, Mohd Mujahed, Awwad, Ziad, Hammouri, Mohammad, Hussein, Hamzeh, Khader, Sereen, Khalil, Mariam, Mansour, Omar, Othman, Ahmad, Qandeel, Haitham, Saleem, Mohammad, Souri, Fouad, Tahboub, Ahmad, Tayyem, Raed, Abdallah, Munir, Abdel‐hafez, Ibrahim, Obead, Hamza Abu, Abudari, Hadeel, Abuhamour, Ehab, Abusadah, Samer, Al‐azzeh, Nimer, Al‐adwan, Sofian, Al‐darabah, Ali, Al‐qannas, Mohammad, Albaba, Basil, Alradawneh, Qutaiba, Amaireh, Mohammad, Ashour, Subhi, Chabaan, Reem, Eskander, Ammar, Fawzi, Ahmad, Haij, Manal, Hamad, Hisham, Hamdan, Haya, Hamss, Ahmed, Hassouneh, Esraa, Hyasat, Ayah, Ibrahim, Zainab, Jamaliah, Saja, Khalil, Mohammed, Massad, Anas, Mohamed, Ishak, Qandeel, Mahmoud, Qasrawi, Dalia, Raggad, Mahmoud, Rifai, Ebaa, Semreen, Nedal, Shehada, Reham, Shorman, Marwan, Al‐shibi, Abdallah, Alsa’Afin, Shatha, Bani‐hani, Morad, Nimer, Bahaa, Nofal, Sandra, Qaraqe, Layth, Salameh, Mohammed, Saleh, Ma’Moun, Sanjuq, Ghaidaa, Sharabi, Alaa, Sweiti, Alaa, Yaghmour, Jamal, Zaza, Sabri, Alhindi, Rahaf, Baninasr, Eman, Al‐masri, Mahmoud, Al‐najjar, Hani, Alawneh, Fade, Al‐latayfeh, Motasem, Al‐shudifat, Abdel‐ellah, Ahmad, Abd Almonem Shaikh, Abdeljalil, Abdelkarim, Abdelrahman, Haneen, Abdulmalek, Abdulmalek, Abedalqader, Lina, Abed, Laith Abu, Al Smadi, Omar, Alarood, Salameh, Allouzi, Mohammad, Almansour, Maha, Almi’Ani, Sari, Alsaiad, Abdulhakim, Alshaikh, Khaled, Androus, Farah, Awbakh, Mirna, Azzam, Belal, Yasin, Hammam Bany, Daoud, Maher, Dawod, Lujain, Dawod, Omar, Elmusa, Reem, Fadli, Saba, Hammad, Farah, Hunaiti, Majd, Muhtaseb, Mahmoud, Owaimer, Rawan, Qulaghassi, Zaki, Romman, Saleh, Saket, Rawand, Sharawi, Said, Tawalbeh, Alaa, Al‐howthi, Mohammed, Ababneh, Laila, Ababneh, Roba, Za’Nouneh, Faris Jamal Abu, Al DHOUN, Sajedah, Al Khassawneh, Ahmad, Al Sharie, Ahmed, Al Shraideh, Ayah Ahmad, Al‐dabaa, Tawfik, Al‐jarrah, Salsabeel, Al‐jarrah, Hothaifa, Al‐othman, Hadeel, Alaradi, Zuhair, Alshannaq, Qutaiba, Alsulaiman, Rima, Alzaqh, Motasem, Alzu’Bi, Yazan, Audat, Ziad, Bahhour, Mohammad, Bdour, Saja, Khatatbeh, Roa, Marji, Fares, Mazahreh, Tagleb, Nail, Dina, Nuseir, Amjad, Rabab’Ah, Asmaa, Sawadi, Taher, Zidan, Ghina, Muhfouz, Dima Abu, Nael, Abdullah, Qasim, Ahmad, Al‐jarrah, Amar, Rawagah, Faisal, Abu Ismail, Dima Y, Al‐dolat, Wedad, Alzoubi, Mai, Alzoubi, Malak, Alzu’Bi, Mu’Taz, Asha, Ruba, Guboug, Ali, Hussein, Hasan, Rawashdeh, Shireen, Sanwar, Mohammad, Ababneh, Adnan, Abu‐eisheh, Basil, Alhami, Haneen Ahmad, Al Dwairi, Saif Aldeen, Al Shurman, Hana’, Al Yahya, Zakaria, Al‐atiyah, Hussam, Al‐balas, Hasan, Aljaiuossi, Anas, Alqawasmi, Shatha, Alqudah, Sadeel, Alshourman, Mahmoud, Hamad, Abdulsalam Bani, Issa, Anas Bany, Ennab, Raed, Hamdoni, Sara, Hijazi, Zaid, Khafaja, Ali, Mraiyan, Mohamed, Obeidat, Riyad, Olaywah, Dina, Qudah, Mohamad, Talal, Mhamdd, Aidarov, Askar, Sarmenova, Aisulu, Kodasbaev, Almat, Sakhov, Orazbek, Tanabayeva, Shynar, Amrayev, Sultan, Dzhumabekov, Berik, Malgazhdarov, Maulen, Tezekbaev, Kanat, Kukubassov, Yerlan, Satanova, Alima, Mwachiro, Michael, Parker, Robert, Simel, Ian, Mohammedali, Shamshuddin, Mwaria, Claude, Obure, Ralph, Shah, Sayed Shah Nur Hussein, Hirani, Chetan, Kibunyi, Muthoni, Mailu, Claire, Mwangi, Victor, Ogenya, Roy, Osea, Lydia, Cheruiyot, Davies, Hirsi, Omar, Muiru, Carolyne, Wanjara, Samuel, Kim, Chang Woo, Lee, Suk Hwan, Almulla, Ahmad, Dashti, Mustafa, Elghany, Omar, Sultan, Abdullah, Al‐mahmeed, Husain, Alabbad, Jasim, Albader, Ibtisam, Aldalal, Shuaib, Baba, Mahdi, Abdulsalam, Fareed, Alhajri, Naser, Alwael, Athari, Ayele, Brook, Marie, Hatem, Zaitoun, Ahmed, Alali, Ahmad M., Alkhamis, Ahmed, Alozairi, Ous, Almazeedi, Sulaiman, Alsabah, Salman, Abdelkarim, Mostafa, Al Rashed, Asmaa, Al Subaie, Saud, Al‐shaiji, Tariq, Al‐terki, Abdullatif, Alhunaidi, Omar, Aljewaied, Ali, Alzamel, Khaled, Farag, Ahmed, Hayati, Hussein, Termos, Salah, Wood, Sarah, Al‐gilani, Maha, Al‐sihan, Mutlaq, Alotaibi, Haifa, Lobovs, Dmitrijs, Pcolkins, Andrejs, Sivins, Armands, Apse, Ingus Arnolds, Berga, Annija Evelīna, Ivanova, Anna, Demicevs, Jevgenijs, Ivanovs, Igors, Kaminskis, Aleksejs, Opincans, Janis, Pāvulāns, Jānis, Rudzāts, Agris, Udre, Anna, Dbouk, Samer, Farfour, Imadeddine, Rakka, Mohamad, Antonios, Ingrid, El Hage, Joe, Hage, Stephanie, Haiby, Lea, Kahi, Hiba, Lichaa, Anthony, Moussa, Rita Milan, Salameh, Michel, Sarkis, Riad, Albaini, Obey, Haykal, Tony, Safadi, Bassem, Abou‐abbass, Hussein, Al Makari, Reem, Al Zein, Zeina, Baidoun, Mariam, Itani, Rania, Owiedat, Mustafa, Abdel Sater, Ali H., Akl, Michel, Badran, Nour, El Mustapha, Sara, Fatouh, Fathallah, Ghoussoub, Youssef, Saad, Nader, Serhan, Fatima, Souleiman, Bassem, Alame, Walid, Ghiya, Peter, Ibrahim, Firas, Abdallah, Rasha, Kassab, Mohamad B., Karout, Samar, Aya Abdul, Al, Chaaban, Hilal, Fakih, Ghinwa, Haj‐ibrahim, Huzifa, Awad, Rabih, El Assaad, Hadi, Alfeqeeh, Ahmed, Muftah, Hosam, Abdulrahman, Taha, Ahseen, Naeimah, Abunaaja, Hayat Omar, Abdulmalik, Abdulmuez, Al Gasi, Abd El Jawad, Alsaeiti, Sara, Elkhafeefi, Fatimah, Elrefai, Nasre, Ahmad, Rofida, Alhouni, Tarek, Alkarky, Safya, Alkeelani, Hana, Alkuwafi, Rauoof, Benhariz, Rema, Bettamer, Nagat, Busarira, Musa, Bushaala, Hassan, Diryaq, Tariq, Elbargathe, Osama, Eldarat, Tarik, Elfadli, Mustafa, Elfitori, Jamael, Elmahgoub, Asma, Elsahti, Reem, Hassan, Yosef, Hussain, Fathi, Mirsal, Taha, Mohammed, Marwa, Saad, Ebtesam, Hadad, Haifaa Il, Mosabha, Mostafa, Alhaje, Awatif, Haron, Aaya, Alsuwiyah, Suhir, Hamed, Mona, Khel, Samer, Omar, Sana, Yousef, Rowaida, Abdelmalik, Abubaker, Abosnaina, Yahya, Abuhlaiga, Ma’Aly, Abushahma, Ahmed Omar, Aldelensi Alzubi, Alhosen Saleh M, Aljanfi, Asma, Alnehum, Mohamed Alnaser, Alzedam, Ahmad, Delhen, Malik, Maderi, Galia, Matoug, Faisel, Mohammed, Burooj, Sawalem, Mohamed, Jahan, Alhadi, Jahan, Abdussalam, Alazabi, Basma, Alezabi, Bahauldin, Alazabi, Mona Masaud Amro, Egdeer, Amin Salem Ahmed, Sefi, Fatma, Kamoka, Elhusain, Salamah, Abdulrauf, Abdalhadi, Alya, Abdeewi, Saedah, Alhadad, Marwah, Awrayit, Ahmed, Eshnaf, Mabroka, Yahmad, Mohammad, Abudher, Abdulhafid, Elamin, Faisl, Abojeila, Farah, Aliwa, Mohamed, Jouira, Rayet Al Islam Ben, Shagour, Sana, Altobal, Ahmed, Aljuroushi, Omar, Almadani, Hadeel, Attia, Hajer, Eljali, Amal Sharif, Emran, Ayyah, Omar, Mabruka, Salim, Radhwan, Samer, Ashraf, Abulshuwashi, Nayrouz Abdullah, Ben Khalifa, Emadeddin T M, Benabdalla, Hdaya Abdalla S, Elnageh, Hatem, Hammad, Ali, Abdullah, Duha Milad, Abusalem, Marwa, Esmael, Esraa Ben, Benmasoud, Fatma, Debri, Laila, Elmokhtar, Randa, Sheta, Manal Ezeddin Kamel, Elhabashi, Bushra Sayeh Mohamed, Younis, Balkees, Elmabrouk, Amna, Momen, Ahmed, Alzoubi, Abdalrahem Essied Alzubi, Ayad, Kusay, Hasan, Ameerah Mahdi Abraheem, Musrati, Fawzie, Abusannoga, Malek, Malek, Ans, Ajaj, Hatem, Abdulwahed, Eman, Aboubeirah, Mohammed, Alqurpaa, Aya, Alshareea, Entisar, Aribi, Sarra, Aribi, Tomather, Biala, Marwa, Ghamgh, Reem, Issa, Mohannned, Lamari, Amani Hamid, Mufth, Mohammed, Abboud, Omar Sudig, Hallalah, Muad Fathi Khalleefah Abu, Abumahara, Saleh, Aburima, Sarah, Adrees, Mohammed, Ahtash, Abdurahman, Al Shukri, Asmaa, Alameen, Hind, Alarabi, Rehab, Alarabi, Alarabi, Alelwany, Aisha, Alesmail, Abdulkarim, Algadi, Noran, Almaqrahi, Khuloud, Alosta, Hadel, Alsharedi, Mohamed, Bashir, Rasha, Ghrema, Mahmoud Ben, Nour, Sari Bin, Elbarouni, Sofian, Elhadi, Ahmed, Elkhadar, Abdulmohimen A, Elkouba, Esraa, Elmsherghi, Nabiha, Gammoudi, Abdulmohimen, Ghariba, Abdulraouf, Gjam, Fatima Zayed, Haidar, Arwa, Helal, Hala, Huwaysh, Mohammed, Alhadheeri, Ahmed Khalid, Kriem, Eslam, Osman, Halim, Ossman, Mohamed Ali, Shilfeet, Marwah, Turshani, Laila, Albishty, Nouran, Alhadi, Abdulmueti, Ali, Salem, Altoumi, Manal Ahmed, Bahroun, Sumayyah Ghayth, Younes, Eman, Atarabulsi, Hana, Elshaibi, Mohamed, Othman, Abdullmujeeb, Hasan, Hayat Ben, Hasan, Najat Shaban Ben, Hasan, Rabab Shaban Ben, Barauskas, Vidmantas, Dainius, Edvinas, Dambrauskas, Zilvinas, Dauksa, Albertas, Dekeryte, Inga, Gudaityte, Rita, Jasaitis, Kristijonas, Koženiauskaitė, Akvilė, Krasauskas, Virgilijus, Lukosiute‐urboniene, Ausra, Maleckas, Almantas, Riauka, Romualdas, Šlenfuktas, Vygintas, Svagzdys, Saulius, Urbonas, Kestutis, Vanagas, Tomas, Venclauskas, Linas, Venskutonis, Donatas, Zilinskas, Justas, Ambrazevicius, Marijus, Syminas, Vilius, Aliosin, Oleg, Cizauskaite, Agne, Eismontas, Vitalijus, Jurgaitis, Jonas, Mikutaitis, Vytenis, Petrauskas, Donatas, Samalavicius, Narimantas Evaldas, Simcikas, Dainius, Slepavicius, Algirdas, Tamosiunas, Albinas, Turskis, Vaidotas, Vasiliauskas, Bernardas, Aniukstyte, Laura, Dulskas, Audrius, Januška, Gediminas, Kuliavas, Justas, Montrimaite, Margarita, Cekauskas, Albertas, Kaminskas, Azuolas Algimantas, Kozenevskis, Sarunas, Poskus, Tomas, Strupas, Kestutis, Zelvys, Arunas, Decker, Georges, Noël, Audrey, Rajaonarivony, Maheriandrianina Fanambinana Voahary, Lucas, Randimbinirina Zakarimanana, Andriantsoa, Herimampionona E, Rasamoelina, Mamisoa B, Vatosoa, Rakotonarivo Aina Andrianina, Andriamanana, Liantsoa, Finaritra, Casimir FP Rahantasoa, Raherison, Aristide Romain, Rajaobelison, Tsirimalala, Rakotoarisoa, Haritiana, Ramifehiarivo, Maharo, Ranaivoson, Solonirina Harinarindra, Randriantsoa, Hajamihamina Marina Parfaite, Razafimanjato, Narindra Njarasoa Mihaja, Razafindrahita, Jeannie BA, Solofoarimanana, Solofoarimanana, Tsiambanizafy, Guillaume Odilon, Judicaël, Rakotonaivo Mamisoa, Solo, Corinne Eulalie, Ralaizafindraibe, Tojomamy Herinjaka, Andofenohasina, Fanonjomahasoa Safiry, Rasataharifetra, Hanta, Razafindraibe, Vanona Barijaona, Herinirina, Angelin Sablon, Das, Andre, Ganapathy, Thanga, Gunarasa, Yohesuwary, Mariapan, Kalyani, Muniandy, Maathichsudhaar, Osman, Mohd Firdauss, Azmi, Mohd Azem Fathi Mohammad, Soh, Jien Yen, Zain, Wan Zainira Wan, Zakaria, Andee Dzulkarnaen, Zakaria, Zaidi, Chan, Kheng Hooi, Hayati, Firdaus, Johan, Syamim, Mah, Jin Jiun, Sriram, Ratha Krishnan, Subramaniam, Sentilnathan, Shahimi, Nur Shahirah Binti Muhammad, Hamdan, Khairul Hazim, Ibrahim, Mohd Razali, Muthkumaran, Guhan, Tan, Ju Ann, Thanapal, Mohana Raj, Aziz, Dayang Anita Abdul, Bastion, Mae‐lynn, Harun, Mohd Hairul Nizam, Imran, Farrah‐hani, Din, Norshamsiah Md, Zain, Ayesha Mohd, Mustapha, Mushawiahti, Nabil, Syed, Naffi, Ainal Adlin, Nazimi, Abd Jabar, Ramli, Roszalina, Soon, Bee Hong, Bal, Pavin, Cheng, Joo Qing, Draman, Mohd Rusdi, Fadzli, Ahmad Nazran, Ghauth, Sakina, Hung, Weipin, Jamaris, Suniza, Koh, Peng Soon, Krishnasamy, Sivakumar, Lee, Yeong Sing, Liew, Yew Toong, Lim, Jeffery Zk, Lim, Raymond Chung Siang, Lim, Hiong Chin, Pauzi, Siti Farhan Moh, Nah, Shireen Anne, Nair, Ashvin Krishna, Doris Sin Wen, Ng, Yong, Yuki Julius Ng We, Ramayah, Kamarajan, Saaid, Rahmah, Sanmugam, Anand, See, Mee Hoong, Seevalingam, Kanesh Kumaran, Sethi, Neha, Singaravel, Srihari, Zaidi, Syeda Nureena Syed Jafer Hussain, Tang, Chu Yik, Teoh, Li Ying, Wong, Kian Boon, Xavier, Ruben, Yahaya, Ahmad Shuib, Norhafiza, Ab, Rahman, Null, Islah Munjih, Ab, Rashid, Null, Aziz, Mohd Fahmi Abd, Rahman, Mohd Norhisham Azmi Abdul, Amjad, Nasser Muhammad, Alhadi, Shahidah Che, Elagili, Faisal, Kamarulzaman, Mohd Nazli, Nor, Azmi Md, Othman, Ahmad Faidzal, Sainal, Mohd Yusof, Sarif, Mat Salleh, Chua, Richelle, Ibrahim, Aini Fahriza, Ahmad, Abdul Rauf Bin, Lau, Yii Ling, Liew, Ka Yee, Palayan, Kandasami, Wong, Hui Yu, Zakaria, Jasiah, Aziz, Nor Azimah Abd, Rahim, Norazila Abdul, Rahman, Noorneza Abdul, Abdullah, Bahiyah, Sikkandar, Mohamed Faizal Bin, Firman, Fatin, Hazleigh, Nik Mohd, Kamarudin, Intan Kartika, Khalid, Shahril, Miswan, Mohd Fairudz Mohd, Zahid, Akmal Zulayla Mohd, Mustafa, Norasyikin, Obaid, Kadhim, Yahaya, Mohd Yusoff Bin Yahaya, Yusoff, Ahmad Ramzi, Andrejevic, Predrag, Myatt, Jeremy Borg, Brincat, Svetlana, Caruana, Clifford, Chircop, Kurt Lee, Chircop, Francesca, Chircop, Daniel Mario, Cini, Charles, Czok, Viktoria, Farrugia, Melanie, Grima, Gabriella, Almukhariq, Fatimah MJ Hassan, Muscat, Esther, Pisani, Darryl, Roshan, Mohsin Hassan Khan, Schembri, Nicholas, Shoukry, Mohamed, Spiteri, Neville, Tanti, Gilbert, Hasan, Ziad Aboharp, Soto, Alberto Bazan, Rubén, Cedillo Rodrìguez Jonathan, Zamudio, Gustavo Esteban Lugo, Gómez, David Gerardo Miranda, Meave, José Alfredo Pérez, Victor Pinto Angulo, Null, Aguilar, Antonio Rojas, Duran, Erik Efrain Sosa, Perez, Alejandro Vàzquez, Arroyo, Diego, Corona‐cruz, Jose, Martinez‐said, Hector, Medina‐franco, Heriberto, Mendez, Manuel, Suárez Ma, Teresa Moreno Y, Díaz, Dolores Orta, León Vázquez, Martha Patricia Pérez, Carvajal, Angélica Azucena Soto, Hernández, Fidel Soto, Stenner, Juan Ignacio, López, Adriana Valenzuela, Hernandez, Mauricio Rene, Romero, Rey Jesus, Hernandez, Aldo Bernal, Cortes‐flores, Ana Olivia, Valle, Carlos Jose Zuloaga Fernandez, Tinajero, Carlos Andres Colunga, Orozco‐perez, Jaime, Balboa, Laura Gabriela Peña, Yanowsky‐reyes, Guillermo, Torres, Víctor Hugo Alcalá, Camacho, Francisco José Barbosa, Perez, Irma Valeria Brancaccio, Calderon‐llamas, Miguel Angel, Gomez, Aldo Camacho, Cortes‐torres, Edgar‐joaquin, Cueva‐martinez, Esteban, Anguiano, Oscar Durán, Estrada, Isaac Esparza, Fierro‐rizo, Roberto, Becerril, Paola Flores, Orozco, Clotilde Fuentes, Castillo, Miguel García, Ojeda, Alejandro Gonzalez, Rubio, Ana Sofia Gonzalez, Rojas, Erick Alonso González‐García, Govea‐camacho, Luis Humberto, Barba, Jose Aldo Guzman, Peña, Juan Carlos Ibarrola, Martínez, César íñiguez, Llamas‐macias, Francisco Javier, Galaviz, Ruben Eduardo Morán, Nuño‐escobar, Cesar, Olvera‐flores, Oscar‐everardo, Osuna‐rubio, Jaqueline, Pérez‐navarro, Jose Victor, Prieto‐aldape, Rodrigo, Gonzalez, Luis Ricardo Ramirez, Sánchez, Marco Vinicio Ramírez, Reyes, Emilio, Romero‐limón, Olaya Moramay, Ruiz‐velasco, Carlos Beas, Martínez, José Antonio Sánchez, Sanchez‐villaseñor, Guillermo, Sedano‐portillo, Ismael, Gonzalez, Gabriela Ambriz, Moreno, Pedro Berrones Moreno Berrones, Alvarado, Ana Beatriz Calderon, Jesús Cárdenas Barón, José, Hernández, Araceli, Frutos, Francisco Javier León, Hernandez, Edgard Efren Lozada, Valencia, Eduardo Morales, Pérez, Karla Daniela, Bolanos‐morales, Francina, Herrera‐zamora, Julio, Santillan‐doherty, Patricio, Zavala, David Omar Arriaga, Campos, Salvador Francisco Campos, Carmona, Lizette, Nava, Antonio Galindo, Santos, Blanca, Cisneros, Juan Roberto Torres, Bozada‐gutiérrez, Katya, Herrera, Jose Jesus, Portillo, Mucio Moreno, López, Francisco Pérez, Trejo‐avila, Mario, Salazar, Carlos Valenzuela, Alvarez, Maria Regina, Cordera, Fernando, Rosa Abaroa, Marco Antonio, Gómez‐pedraza, Antonio, Hernandez, Roberto, Maffuz‐aziz, Antonio, Posada, José Antonio, Vidal, Carlos Robles, Beristain‐hernandez, Jose‐luis, Sada, Blas Eduardo Quintero, Heredia, Nicolás Uxmal Soruco, Anaya, Ernesto, Arceo‐olaiz, Ricardo, Sougarret, Bernardo Gutiérrez, Flores, Sonia Lopez, Ochoa Carrillo, Francisco J., Uribe, Raymundo Alfredo Pérez, Silva, Ludwigvan Adriano Bustamante, Lupián‐angulo, Arianne I, Martínez, Christian Enrique Soulé, García, Francisco César Becerra, Casillas, Ernesto Javier Guerrero, Uribe, Edgar, Arias, Nereida Esparza, Hernández‐nava, J. Mindy, Isla‐ortiz, David, Melchor‐ruan, Javier, Bañuelos, Esmeralda Romero, Salcedo‐hernández, Rosa, Vilar‐compte, Diana, Peniche, Paola Zinser, Aguilar Frasco, Jorge L., Alfaro‐goldaracena, Alejandro, Buerba, Gabriela Alejandra, Castro, Emma, Chan, Carlos, Cortes, Ruben, Dominguez‐rosado, Ismael, Lechuga, Daniel Garay, Herrera, Miguel, Hinojosa, Carlos, Lopez‐pena, Gabriel, Martos, Edgar, Mercado, Miguel ángel, Velázquez, Paulina Moctezuma, Moguel, Roberto, Oropeza, Mariano, Portugal, Emmanuel Peña Gómez, Posadas‐trujillo, Oscar Emmanuel, Salgado‐nesme, Noel, Jasso, Oscar Santes, Sarre, Catherine, Skewes, Karla Yareli Hernandez, Jimenez, Cristian, Licona‐meníndez, Roque Delfino, Montiel, Guillermo, Navarrete‐peón, Alberto, Ortega, Shannat, Lechuga, Fernanda Romero, Roque, Oscar, Sevilla, Fernando, González‐lópez, Rogelio, Núñez‐gonzález, Roberto ángel, Ortega‐jiménez, José Antonio, Alvarado, Antonio, Orendain, Alfonso Alvarez Manilla, Pesquera, José Alberto Atristain, Frutos, Diego, Garcia, Felipe, León, Juan Antonio González, Guzman, Marlin, Herappe, Dorihela, Miranda, Jesús Giovanni Inzunza, Botello, Miguel Angel Jimenez, Lerma, Ricardo, Pedraza, Fabián Hilario Mendoza, Castillo, Monica Noguez, Resendiz, Jose Anatolio, García, Oscar Alejandro Sánchez, Rios, Laura Elena Fernandez, Frigerio, Pamela, Garcia, Iset, Frías, Gloria Isela Mendoza, Moreno, Emmanuel, Quiroga, Raquel, Mendoza, Alejandra Anzures, Hinojosa, Arantza Govela, Izaguirre, Aldo, Miguelena, Luis Hdez, Vazquez, Jose Manuel Luna, Rodriguez, Indalecio Barcelata, Mange, Raul Ramos, Utrera, Carlos Reyes, Saenz, David Zarate, Gonzalez, Miguel Angel Zavala, González, Francisco Andrade, Cortes, Ludivina, Roman, David, Sanchez, Aaron, Gurghiș, Radu, Rojnoveanu, Gheorghe, Vozian, Marin, Caraja, Petru, Croitor, Gheorghe, Mosneaga, Roman, Erdene, Sarnai, Ganbold, Lundeg, Orgoi, Sergelen, Orsoo, Soyombo, Sainbayar, Altanchimeg, Sandag, Erdene, Sanjaa, Burmaa, Benhamou, Rita Ait, El Azhari, Abdessamad, Ghita, Bennis, Lhassani, Sara, Louraoui, Sidi Mamoun, Rghioui, Mounir, Saaf, Sarra, Gadouali, Taha, Gouazar, Iltimass, Korch, Moniba, Letrache, Ahmed, Louari, Amina, Zamame, Anas, Ousouss, Samia, Zekhnini, Meryem, Abderrazaq, Hafni, Abichou, Wijden, Ahlaou, Hamza, Baicha, Amal, Baroudi, Salma, Chaoui, Ghita, El Azzazi, Hind, El Masaoudi, Saja, Hassoun, Chiraz, Moujtahid, Hajar, Riyahi, Anas, Zaim, Ouijdane, Aji, Narjiss, Ammouze, Imane, Arkha, Yasser, Bechri, Hajar, Belabbes, Meryem Benchekroun, Benslimane, Zaineb, Boualila, Lina, Bouanani, Othmane, El Ouahabi, Abdessamad, Hossyni, Leila Essakalli, Malik, Boulaadas, Oudrhiri, Mohammed Yassaad, Sefrioui, Taha Ismail, Tagmouti, Adam, Bensghir, Mustapha, Elkoundi, Abdelghafour, Belarabi, Othman, Belkhadir, Zakaria Houssaïn, Benkabbou, Amine, Boutayeb, Saber, El Ahmadi, Brahim, El Bouazizi, Yassine, Ghannam, Abdelilah, Kabbaj, Taha, Majbar, Anass Mohammed, Mohsine, Raouf, Souadka, Amine, Kone, Badra Aliou, Ndatewapo, Fillipus, Njuki, Peter Ngungi, Abrahams, Jenevive, Jeketera, Clara, Yeboah, Kwasi, Abebrese, John Tabiri, Mureko, Alfred, Quayson, Francis William, Shikongo, Justina, Bhusal, Subarna, Dwa, Yam, Joshi, Ashoo, Berkeveld, Eva, Bloemers, Frank, Borgstein, Alexander, Gisbertz, Suzanne, Mikdad, Sarah, Berge Henegouwen, Mark, Bakx, Roel, Besselink, Marc, Lemmers, Daniel HL, Roelofs, Anne‐jasmin, Amstel, Paul, Helsdingen, Claire, Smeele, Ludi, Harlaar, Niels, Jonker, Frederik, Burg, Sjirk, Oostendorp, Justin Y., Ombashi, Saranda, Voort, Tim, Geldorp, Martijn, Posma‐bouman, Lisanne, Boer, Hans Donald, Olieman, Annette, Smid‐nanninga, Henriette, De Vries, Jean‐Paul P. M., Hogenbirk, Rianne, Derksen, Tyche, Franken, Josephine, Oosterling, Steven, Nolte, Peter, List, Jelle, Alwayn, Ian, Bijlstra, Okker, Braat, Andries, Bulder, Ruth, Kok, Michèle, Faber, Robin, Goudsmit, Ben, Hamming, Jaap, Mieog, Sven, Vahrmeijer, Alexander, Leemkolk, Fenna E. M., Vorst, Joost, Schaik, Jan, Verhagen, Merel, Albers, Kim, Gawria, Larsa, Van Goor, Harry, Warle, Michiel, Ginhoven, Tessa M., Viëtor, Charlotte, Boerma, Evert‐jan, Lallitsch, Lara, Schweitzer, Donald, Leclercq, Wouter, Sijmons, Julie, Vancoillie, Peter‐jan, Konsten, Joop, Heinsbergen, Maarten, Dekker, Nicole, Boer, Frank, Dimech, Julian, Djamali, Kaveh, Fowler, Carolyn, Ghamri, Naji, Houston, Helen, Joseph, Reece, Kantroo, Astha, Kwun, Jin, Lie, Samuel, Lightfoot, Nicholas, Maccormick, Andrew, Olliff, Sue, Trilokekar, Natasha, Wood, Daniel, Ekanayaka, Aruna, Furkert, Chris, Nanayakkara, Asanga, Panesar, Divyansh, Waddell, Oliver, Bidois, Lauren, Clifford, Zoe, Frizelle, Frank, Glyn, Tamara, Lim, Eric, Lyons, Oliver, Mclauchlan, Jared, Nicholas, Ella, O’Grady, Michael, Roake, Justin, Singh, Harsh, Ailabouni, Ramez, Rietveld, John, Alqassab, Mohammed, Amer, Mostafa, Chan, Annie, Egbuji, John, Fullarton, Mairi, Haddow, James, Hawkins, Robyn, Vui Teck, Lu, Oliver, Thomas, Saw, Kai Sheng, Sugunesegran, Ramanen, Wilkins, James, Woodfield, Esther, Baker, Joseph, Cama, Jitoko, Field, Xavier, Fulivai, Alamea, Hossain, Ruhella, Kelly, Ben, Jasen, Ly, Mckelvie, James, Meiyappan, Vivek, Cindy Xin Yi, Ou, Singh, Vidit, Hedley, Alex, Temara, Hinerangi, Aitken, Jake, Frunt, Brytt, Boys, Max Hardie, Lakshman, Prashant, Pinfold, Esther, Cowan, Sarah, Henderson, Nigel, Leary, Jessica, Castle, Cameron, Gaston, Matt, Haimona, Maira, Jury, Steffanie, Lahood, Zoe, Lim, Matthew, Macintyre, Dillon, Mak, Josephine, Neal, Annelise, Shelker, William, Weeratunga, George, Ferguson, Liam, Harmston, Christopher, Heaven, Chelsea L, Watt, Imogen, Cahill, Henry Witcomb, Abdurrazzaaq, Abdussemee, Abdussalam, Hameedat Opeyemi, Adebanjo, Ademola, Ahmed, Aminat Olayinka, Borokinni, Opeyemi Busayo, Fasiku, Olushola Kayode, Gwaram, Usman, Okoye, Onyedika, Olaomi, Oluwole, Adeyeye, Ademola, Enoch, Elizabeth, Fayose, Samuel, Kayode‐nissi, Victor, Kadiri, Innih, Oduah, Stella, Abdull, Mohammed, Abdullahi, Mohammed Kabir, Kwankiyel, Auwal Babayo, Umar, Shahir Bello, Hassan, Sulaiman, Ja’Afar, Abubakar Bappah, Ja’Afaru, Umma Hani, Kadas, Saidu, Liman, Haruna, Makama, Baje, Mohammad, Aminu Mohammad, Kirfi, Abdullahi Musa, Oyediji, Funmilayo, Mohammed, Husseini Yakubu, Akpoghor, Oghenevwegba, Arekhandia, Alexander, Dawodu, Oseyi, Edetanlen, Ekaniyere, Efobi, Chizoba, Egbor, Esezobor, Enaruna, Nosakhare, Ezeanochie, Michael, Ezenwa, Ekene, Ijekeye, Ferdinand, Imumoren, Joe, Iribhogbe, Oseihie, Irowa, Omorodion, Momoh, Moses, Nwashilli, Nnamdi, Obahiagbon, Osarobo, Obuekwe, Ozoemene, Odai, Emeka Danielson, Odigie, Vincent, Odutola, Oluwatomi, Okhakhu, Amina, Okugbo, Stanley, Oni, Samson, Onyeagwara, Ngozi, Oseghale, Eustace, Osemwegie, Osarenkhoe, Osho, Philip, Ugwi, Veronica, Uwagboe, Charles, Yusuf, Sofiat, Abiodun, Adekunle, Akinloa, Olufemi, Shodipo, Moses, Abdullahi, Alhassan, Lawal, Ishak, Echieh, Chidiebere Peter, Nwagboso, Chimaobi, Udoh, Ubong, Akanni, Bolaji, Anyimba, Solomon, Chukwu, Isaac, Ezomike, Uchechukwu, Gold, Ikponmwosa, Nnabugwu, Ikenna, Nwafor, Ikechukwu, Okolie, Louis, Okoro, Kelechukwu, Okwara, Blasius, Onyemaechi, Ndubuisi, Abdulsalam, Khalifa, Arogundade, Abayomi, Kura, Mohammed, Nwosu, David, Abdullahi, Habiba, Agida, Eyaofun, Aisuodionoe‐shadrach, Oseremen, Ajibola, Hafees, Akaba, Godwin, Ale, Omolabake, Atim, Terkaa, Emeka, Malachy Ayogu, Benard, Adeka, Buba, Amina, Chinda, John, Edino, Stephen, Eniola, Sefiu, Garba, Stephen, Isah, Aliyu, Isah, Dennis Anthony, Joshua, Zaman, Mbajiekwe, Ndubuisi, Mshelbwala, Philip, Muhammad, Rafat, Offiong, Richard, Olute, Anne, Osagie, Olabisi, Ogolekwu, Idoko Pius, Sulaiman, Bilal, Suleiman, Salisu, Umar, Aminu, Abayomi, Olukayode, Abdus‐salam, Rukiyat, Adebayo, Sikiru A., Adeleye, Amos, Ademola, Samuel, Afuwape, Oludolapo, Ajao, Akinlabi, Akinsola, Sanusi, Aladelusi, Timothy, Ayandipo, Omobolaji, Baiyewu, Lateef Ayodele, Balogun, Mosimabale, Daodu, Israel, Egbuchulem, Ifeanyichukwu Kelvin, Elemile, Peter, Ezeme, Constantine, Fasunla, Ayotunde James, Gbolahan, Olalere, Iwuagwu, Ifeanyi, Michael, Afieharo, Morhason‐bello, Jemiludeen, Nwaorgu, Onyekwere, Obadan, Izegaegbe, Odeyemi, Olubunmi, Ogundoyin, Omowonuola, Ogundoyin, Olakayode, Ogunkeyede, Segun Ayodeji, Ogunrewo, Tolulope, Okere, Oghenekevwe, Oladejo, Titilola, Oladiran, Ajibola, Olagunju, Naomi, Olaoye, Ifedolapo, Olawoye, Olayinka, Olulana, Dare, Olusanya, Adeola, Omigbodun, Akinyinka, Onakoya, Paul, Orji, Mathias, Oyelakin, Oyeleye, Oyewole, Olugboyega, Sule, Samuel, Takure, Augustine O, Ugwu, Ebere, Afolabi, Bosede, Ajayi, Peter, Akinajo, Opeyemi, Alakaloko, Felix, Atoyebi, Oluwole, Belie, Orimisan, Bode, Chris, George, Ihediwa Chibuike, Elebute, Olumide, Ezenwankwo, Francis, Fatuga, Adedeji, Ladipo‐ajayi, Oluwaseun, Makanjuola, Ayomide, Makwe, Christian, Mofikoya, Bolaji, Ohazurike, Ephraim, Ojewola, Rufus Wale, Okunade, Kehinde, Okunowo, Adeyemi, Olajide, Thomas Olagboyega, Oni, Oluwafemi, Tijani, Kehinde, Ugburo, Andrew, Ugwu, Aloy Okechukwu, Abiola, Paul, Abiyere, Henry, Adebara, Idowu, Adeniyi, Adebayo, Adeyemo, Olabisi, Ariyibi, Abimbola, Babalola, Olakunle, Bakare, Adewumi, Banjo, Oluseyi, Egharevba, Peter, Obateru, John, Ojo, Owolabi, Olajide, Adewale, Oluwafemi, Fatudimu, Oyeleye, Oluwole, Salawu, Adedayo, Babatunde, Bakare Tajudeen Ishola, Abdulsalam, Moruf, Adelaja, Aderinsola, Adeniran, Abimbola, Ajai, Olalekan, Atobatele, Kazeem, Ayodele, Olabamidele, Bello, Funmi, Faboya, Omolara, Idowu, Olufemi, Idowu, Jeuel, Mustapha, Muntaqa, Omisanjo, Olufunmilade, Osuoji, Roland, Vitowanu, Julius, Abe, Anthonia, Aderounmu, Adewale, Adesunkanmi, Abdulhafiz, Ajekwu, Temitope, Ajekwu, Samuel, Ajiboye, Olalekan, Aderogba, Adeleke Akeem, Alatise, Olusegun Isaac, Babatunde, Mustapha, Balogun, Simon, Ijarotimi, Adebimpe, Lawal, Adedayo, Ojo, Olugbenga, Olasehinde, Olalekan, Olugbami, Adebayo, Ubom, Akaninyene Eseme, Agbaje, Ademola, Mohammed, Tajudeen, Adeniran, Abiodun, Adesola, Muideen, Afolabi, Abdulrahman O., Aremu, Isiaka, Ayinmode, Iyehunwa, Bello, Jibril, Ezeoke, Grace, Gwadabe, Sadiya, Ibraheem, Gbadebo, Ibrahim, Saidu, Ijaiya, Munir’Deen, Nasir, Abdulrasheed, Odeyemi, Peter Olalekan, Ogunade, Olukayode, Olabinjo, Afusat, Olatoke, Samuel Adegboyega, Olowogbayi, Tope, Onjefu, Stephen, Popoola, Ademola, Raji, Hadijat Olaide, Salawu, Nasiru, Salawu, Hafeez, Sayomi, Tolulope Olayinka, Segun‐busari, Segun, Uche‐okonkwo, Kenechukwu, Abiola, Olajide, Anipole, Olalekan, Ogunlaja, Olumuyiwa, Adesina, Oluwaseyi, Alayande, Barnabas, Ebenezer, John, Enwerem, Kenneth, Isichei, Christian, Isichei, Mercy, Luku, Pwaluke, Omiragi, Paul, Onyeji, John, Adze, Joel, Aghadi, Ifeanyi, Auta, Akawu, Duniya, Sharon, Gyuro, Joseph, Lawal, Jamila, Makama, Jerry Godfrey, Mohammed, Garba, Mohammed‐durosinlorun, Amina, Salisu, Kabiru, Taingson, Matthew, Yusuf, Nuhu, Amos, Happy, Daniel, James, Takai, Idris Usman, Abdullahi, Lawal, Abdullahi, Sani, Abdulrahman, Mamuda, Abubakar, Mohammed Kabir, Adikaibe, Valentine, Ahmad, Misbahu, Ahmad, Jameel Ismail, Aji, Sani Ali, Aliyu, Mohammed Salele, Danagundi, Maryam Babba, Bako, Yusuf Halidu, Bello‐muhammad, Nafisatu, Garzali, Ibrahim Umar, Hasheem, Muhammad Ghazali, Hassan, Ismail, Hassan, Sadiq, Usman, Mustapha Ibrahim, Ismail, Nasiru, Jibril, Yasir Nuhu, Kurawa, Musbahu, Magashi, Mahmoud Kawu, Martins, Bardi, Bello, Usman Mohammed, Muhammad, Saminu, Muhammad, Abubakar Bala, Muhammad, Shamsuddeen, Daneji, Sulaiman Muhammad, Mukhtar, Ibrahim Aliyu, Adamu, Kabir Musa, Nwachukwu, Callistus, Omeje, Uchenna Kelvin, Orji, Ifeanyi James, Sheshe, Abdurrahman Abba, Suleiman, Ibrahim, Yunusa, Sani Abdullahi, Maryam, A, Abubakar, Kabiru Bello, Habib, Saudat Garba, Mahmood, Farrukh, Alabi, Ibrahim Abolaji, Arojuraye, Soliudeen, Salihu, Mohammed, Alade, Samuel, Kumolalo, Felix, Mogbo, Chiedozie, Adebayo, Olaolu, Ige, Oluwasuyi, Jones, Gbenga, Odunafolabi, Tunde, Olubayo, Oluniyi Oyetunde, Akani, Chris, Alasia, Datonye, Alegbeleye, Justina Omoikhefe, Aria, Oti Nimi, Awopeju, Abimbola, Edonkumoh, Kemebradikumo, Ekeke, Onyeanunam, Fyneface‐ogan, Sotonye, John, Celestine, Kasso, Terhemen, Korubo, Inye, Mato, Christie, Ogu, Rosemary, Okpani, Charles, Okpani, Anthony, Onwuagha, Ijeoma, Oppah, Ijeoma, Oputa, Victory, Oranu, Emmanuel, Orazulike, Ngozi, Otokwala, Job, Ugboma, Henry A. A, Ajayi, Adekunle, Ogundele, Ibukunolu, Salami, Babatunde, Ajagha, Okeoghene, Ali, Yakubu, Awaisu, Mudi, Daniyan, Muhammad, Fidelis, Lovely, Nwabuoku, Stanley Emeka, Ogunsua, Oluseyi, Oyelowo, Nasir, Sholadoye, Tunde T., Yakubu, Alfa, Rendevski, Vladimir, Shuntov, Blagoj, Shuntov, Natalija Cokleska, Georgieva, Gordana, Jovanoski, Tomislav, Jovanovska, Katerina, Nikolovska, Bisera, Peev, Igor, Srbov, Blagoja, Trajkova, Andrijana, Trenchev, Viktor, Dohcev, Sasho, Janchulev, Josif, Saidi, Skender, Stankov, Oliver, Trifunovski, Aleksandar, Draz, Najib Abu, Al Ajmi, Khalil, Al Ajmi, Ghadeer, Al Amri, Ayman, Al Badaai, Ghalib, Al Balushi, Nawf, Al Bassam, Wameedh, Al Farsi, Maather, Al Ghafri, Wadha, Al Ghafry, Alaa, Al HOSNI, Mohammed, Al Kalbani, Moza, Al Kalbani, Maha, Al Kharusi, Lamya, Al Kharusi, Safiya, Al Mutani, Mohammed, Al Qadhi, Hani, Al Raisi, Amani, Al Riyami, Nihal, Al Sabti, Hilal, Al Shaibi, Maha, Al‐abri, Rashid, Al‐mujaini, Abdullah, Al‐rashdi, Aya, Alajmi, Suha, Albadi, Zamzam, Albusaidi, Hanadi, Alhadeethi, Ahmed, Aljabri, Noor, Alkazrooni, Muhannad, Alkharousi, Nadiya, Alkharusi, Al‐salt, Alkiyumi, Khadija, Almaharbi, Noof, Alsaadi, Sabaa, Alsharji, Marwa, Alsharqi, ALi Hamed, Alshehhi, Fatma, Alsulaimani, Thuwaiba, Alward, Mustafa, Alwashahi, Mohammed, Alyafii, Hussain, Alzadjali, Adil, Basi, Tayseer, Dalmar, Khadija, Dawud, Bashar, Gargouri, Mohamed Mourad, Kariyattil, Rajeev, Kenawy, Ahmed Omer, Kochummen, Koshy, Kolethekkat, Arif, Pillai, Mahesh Krishna, Sureshkannan, Ks, Laghari, Farman Ali, Manjunatha, Attibele Palaksha, Mathew, Joseph Kunju, Muzaffar, Rahil, Nair, Asha, Naiya, Hafsa Ismail Ibrahim, Nazar, Zuhail, Pillai, Silja, Rahim, Ferdous, Rahman, Khalid, Sheik, Shahila, Siddiqi, Mohammad Salman, Stephen, Edwin, Younas, Shahzad, Fatima, Mishal, Javed, Ayesha, Khan, Muhammad Ahsan, Shakir, Fatima Tuz Zahra, Siddiqui, Riaz Hussain, Syed, Danish, Rehman, Ishtiaq Ur, Warraich, Shahrukh, Amir, Mohammed, Asghar, Saleha Yurf, Bangash, Ali Haider, Latif, Sehrish, Naqvi, Wajih, Abdullah, Muhammad Tariq, Abdullah, Saleha, Ahmed, Arooj, Ahsan, Muhammad Fahim Ahsan, Akhtar, Fahad, Ali, Sana, Ansar, Mehwish, Aqib, Muhammad, Arslan, Muhammad, Ashraf, Sumaira, Ayubi, Azaz, Azam, Tayyab, Bhatti, Hamza, Huda, Shahab, Irshad, Abeer, Ishaque, Nazia, Khaliq, Tanwir, Khan, Farheen, Khan, Mumtaz Ahmad Khan, Mahmood, Namrah, Malik, Ali Raza, Malik, Tahir, Malik, Komail, Mehmood, Manzer, Mustafa, Fatima, Noor, Fazal, Nubair, Sarwar, Rashid, Isbah, Saeed, Waqar, Sajid, Hannan, Shah, Sajid, Shami, Ali, Siraj, Minhaj Us Siraj, Tareen, Mariam, Haq, M Burhan Ul, Abbas, Manzar, Zaidi, Syeda Maria Ahmad, Ahmed, Iffat, Ahmed, Shahnoor, Ahsan, Kunwar Armash, Akhtar, Munazza, Akhund, Ramsha, Manji, Adil Al‐Karim, Arshad, Hajra, Awan, Muhammad Ozair, Aziz, Humaira, Bhutto, Shameen, Aamir, Faiqa Binte, Biyabani, Syed Raziuddin, Chishti, Uzma, Chundrigar, Mohsin, Ghaloo, Shayan Khalid, Haroon, Waqqas, Hashmi, Shiraz, Hassan, Murtuza, Inam, Hina, Kassam, Nausheen, Kazmi, Abbas, Khan, Majid, Khan, Muhammad Osama, Kumari, Sameeta, Malik, Muhammad Jehangir, Mansoor, Maheen, Martins, Russell Seth, Mubarik, Areeba, Munir, Muhammad Musaab, Musharraf, Muhammad Bazil, Naz, Falak, Noordin, Shahryar, Pervaiz, Arsalan, Qamar, Javeria Bilal, Rahman, M Fazlur, Rani, Pallavi, Rasheed, Yasir, Sadia, Haleema, Saeed, Marwah, Safri, Mohammad, Salim, Shaharyar, Sattar, Abida K., Shamim, Shahzad, Sherwani, Maryam, Siddiqui, Muhammad Ahsan Iqbal, Sidhwa, Astad, Tariq, Javeria, Tejani, Isbaah, Waqar, Usama, Zahid, Fahad, Jamal, Abid, Ghufran, Muhammad Ali, Memon, Amjad Siraj, Saeed, Summaya, Samo, Khursheed Ahmed, Aswani, Manisha, Manzoor, Shahneela, Muhammad, Shoaib, Arshad, Muhammad, Hussain, Syeda Namayah Fatima, Moin, Inshrah, Najjad, Muhammad Kazim Rahim, Nasir, Manal, Sohail, Osama Bin, Mangi, Ali, Markhand, Naveed, Mushtaq, Hassan, Zia, Kashif, Ahmed, Hassaan, Ahmed, Nasir, Qureshi, Talha Ahmed, Shaikh, Shafqat Ali, Anwer, Rabia, Arshad, Owais, Batool, Sehrish, Chatni, Muhammad, Chundrigar, Tariq, Dojki, Samina Saleem, Elahi, Minahil, Farooqui, Bakhtawar, Ghouri, Amna, Hassan, Nabeel, Hussain, Zainab, Hussaini, Null, Iftikhar, Fizza, Iqbal, Faizan, Javed, Anum, Javed, Dania, Kamal, Wajahat, Khan, Shifa, Mughal, Zeeshan Uddin, Murtaza, Ghulam, Nadeem, Areeba, Nasir, Areeba, Nayyer, Fatima, Nisa, Kanwal, Rauf, Yaseen, Haroon, Umer Saeed, Saleem, Shah Masabat, Seriwala, Haseeb, Shah, Aaqil, Siddiqui, Safia, Tanveer, Asher Tanweer, Tariq, Nida, Zaman, Junaid, Zamir, Mehroz, Anjum, Muhammad Ayyub, Afzal, Ameer, Ahmed, Ehsan, Ahmed, Jawad, Riaz, Shujat Ahmed, Akbar, Ali, Akbar, Bilal, Ali, Maria, Ali, Imran Ali, Ali, Abrar Ashraf, Ali, Ghazanfar, Altaf, Zahra, Ammar, Ahmed Siddique, Arif, Hafiz Muhammad Arif, Aslam, Imran, Bashir, Muhammad Mustehsan, Farooq, Usman, Farooq, Muhammad, Gondal, Khalid Masood, Iqbal, Muhammad Javed, Iqbal, Zafar, Ismail, Fahad, Jameel, Muhammad Khurram, Janjua, Muhammad Haris, Janjua, Azwa, Joshi, Prabesh, Khadam, Mamoona, Khan, Romaisa, Khawaja, Muhammad Asadullah, Manzoor, Sobia, Mohsin, Muhammad, Mumtaz, Khizra, Musaab, Muhammad, Naqi, Syed Asghar, Naumeri, Fatima, Nazir, Umer, Noureen, Sadaf, Rafi, Yaseen, Raza, Ali, Rijal, Sushil, Saleem, Irfan, Shah, Hafiz Syed Zaigham Ali, Sharif, Muhammad, Shaukat, Ayesha, Siddique, Usman, Sikandar, Hafiz Saqib, Sohail, Mohammad, Zahara, Fatima Tu, Usman, Yasmeen, Zaman, Balakh Sher, Zeb, Misbah, Afzal, Muhammad Farooq, Ahmad, Fateen, Ahmed, Waqas, Akram, Shahzad, Alam, Azhar, Ali, Danish, Ali, Ahsan, Alvi, Ammar Tariq, Asif, Suleman Asif, Aslam, Madiha, Daood, Muhammad Daood, Jawad, Muhammad, Kathia, Usama Muhammad, Khalid, Ismaeel, Khan, Anwar, Khurshid, Zain, Noman, Hamza, Raza, Ahsan, Taha, Hassan, Zubair, Muhammad, Maria, Noor Ul Huda, Janjua, DrAtif A, Ahmad, Qamar Ashfaq, Ahmad, Sheraz, Ali, Imran, Amin, Sana, Anjum, Momina, Asjad, Muhammad, Aslam, Aatif, Ayyaz, Mahmood, Bajwa, Luqman Ali, Bakhtiar, Akkasha, Bashir, Alia, Batool, Fizza, Bhatti, Samiullah, Butt, Roshan, Butt, Usman, Changazi, Shabbar Hussain, Cheema, Omer Iqbal, Chishti, Muhammad Haris, Haq, Bushra, Hashmi, Ali, Hassan, Muhammad, Hassan, Usman, Hayat, Khizar, Iqbal, Javaid, Iqbal, Ayesha, Ishaq, Amna, Javed, Sundas, Javed, Hina, Javed, Aymen, Kashif, Muhammad, Khalid, Muhammad Saud, Khan, Wasim Hayat, Khan, Rohma, Khan, Fatima, Latif, Usman, Mahmood, Arif, Majeed, Faizan, Malik, Kiren, Masood, Rumaisa, Munawwar, Fasiha, Mushtaq, Asma, Nabi, Muhammad Shoaib, Nasir, Ahmad, Naureen, Shazia, Noreen, Zahida, Qadir, Muhammad Ghulam Qadir, Raana, Gul e Raana, Rashid, Madeeha, Rehman, Abdul, Riaz, Sidra, Saboor, Arfa, Sadiq, Muhammad Hamza, Saeed, Komal, Saleem, Humaira, Sarfraz, Kiran, Shafiq, Zahid, Shafqat, Aymen, Shaukat, Hassan, Sher, Fateh, Sohail, Rubina, Suhail, Amina, Muhammad, Bilal Syed, Umair, Usama, Umar, Muhammad, Usama, Muhammad, Usman, Natasha, Waheed, Kalsoom, Farooka, Muhammad Waris, Wasim, Shafqat, Wasim, Tayyiba, Yasin, Fahad, Zafar, Zain, Zaka, Sabahat, Zaman, Salma Zaman, Azad, Junaid, Fatima, Zareen, Anwar, Muhammad Imran, Naseer, Muhammad Ahmed, Shah, Muhammad Taimoor, Ali, Ammar, Aslam, Muhammad, Aziz, Muhammad Usama, Gohar, Farhan, Humayoun, Waseem, Khan, Hassan, Naeem, Shiza, Tahir, Warda, Alvi, Kashif, Mehmood, Maria, Ali, Muhammad, Shahzad, Aniqa, Sher, Muhammad, Murtaza, Null, Siddique, Hijab, Anjum, Waleed, Ahmad, Manzoor, Alam, Muhammad, Faizi, Fouzia, Faridoon, Shehla, Hussain, Musarrat, Iftikhar, Muhammad, Jan, Yousaf, Kalim, Muhammad, Raza, Tilal Ahmed, Shah, Farrukh Ozair, Shah, Muhammad, Tahir, Imran, Khan, Hamza, Naeem, Muhammad, Ahmad, Shabir, Ahmed, Haseeb, Akbar, Hazrat Akbar, Akhtar, Muhammad Shaheer, Ali, Noman, Ali, Mehboob, Ali, Sadaf, Ali, Irfan, Amin, Hasbi Allah, Amin, Shehzadi, Ayub, Bakhtawar, Basir, Muhammad, Faraz, Ahmad, Farsi, Muhammad Salman, Gul, Ambrin, Gul, Hina, Gul, Ayaz, Gul, Sana, Haider, Sajjad L, Ikramullah, Syed Ikramullah, Jan, Kashif, Khalid, Muhammad, Khan, Salman, Khan, Muhammad Faisal, Khan, Faraz Ahmad, Mian, Iftikhar, Moeen, Aiman, Mohmand, Obaid, Rahim, Rehana, Raziq, Naila, Rehman, Riaz, Salim, Azra, Shafqat, Tanveer, Shah, Faaiz Ali, Shah, Suliman, Shakeel, Muhammad, Ullah, Tahsin, Rehman, Shams Ur, Wali, Sabaeena, Zahoor, Farnaz, Zeb, Gulmeena, Zeb, Laila, Haseeb, Null, Raza, Waqas, Amir, Zein, Arshad, Daneyal, Daud, Mashal, Chughtai, Umer Javed, Rauf, Mirza Hammad, Sajid, Zaina, Abid, Rubaba, Azam, Ayesha, Farkhanda, Tallat, Firdos, Kanwal, Khalid, Tabinda, Malik, Sobia, Mashal, Javeria, Salim, Ruqyyah, Saqib, Madiha, Shaheen, Aneela, Shahid, Madiha, Yasmeen, Irfana, Ahmed, Faryal, Ali, Aneeqa, Amjid, Zarafshan, Anwar, Muhammad Idrees, Arif, Iqtaza, Ashraf, Anam, Butt, Adam Umair Ashraf, Azhar, Faryal, Daniyal, Muhammad Daniyal, Ghazanfor, Ramlah Ghazanfor, Ishtiaq, Daniyal, Jamil, Manahil, Khalid, Ziaullah, Khan, Jahangir Sarwar Khan, Khan, Muhammad Sarfraz, Mahmood, Usama, Mahmood, Ashraf, Malik, Abdur Rehman, Nagra, Ramisha Naseer, Niazi, Fuad Ahmad Khan, Saleem, Maleeha, Saleem, Bushra, Saleem, Tayyaba, Shabbir, Raja Khalid, Shakir, Imtiaz Ahmed, Ahmad, Ashfaq, Awan, Surgeon Hafiz Riaz Hussain, Bhatti, Waqar, Shaheen, Azka, Awad, Hadeel, Mohamad, Balqees, Wafi, Dalia, Jayyab, Mustafa Abu, Toman, Hitham, Abu‐arish, Hamdoon, Al‐slaibi, Ibrahim, Alzeerelhouseini, Hussam I. A., Jobran, Fahmi, Lahlooh, Raghad, Aburayyan, Fatima, Abuzaina, Khalil, Aljuba, Ayat A., Aljunaidi, Roaa, Alzughayyar, Tareq, Amro, Adham, Amro, Sarah, Dweik, Mays, Halman, Safa, Qafisha, Qutaiba, Shaheen, Farah, Shawer, Balqis, Shehadeh, Daleen, Zalloum, Jihad, Demyati, Khaled, Hajhamad, Mohammed, Saqfalhait, Zain, Del Cid, Emmy Arrue, Rodriguez‐zentner, Homero, Abed, Francisco, Garayo, Rafael Osmar Adorno, Aguilar, Ruben, Aguilar, Ana, Maidana, Domingo Javier Aguilera, Casañas, Diego José Almada, Almiron, Teresa, Arrua, Analia, Avila, Pedro, Balmaceda, Brenda, Barreto, Alexandra, Galeano, Analy Barreto, Nuñez, Belinda Barrientos, Benegas, Magdalena, Berden, Martin, Bogarin, Amalia, Bonnin, Jorge, Barrios, Edulfo Britez, Burgos, Julio, Melgarejo, Carlos Fabián Cárdenas, Samudio, José De Jesus Casco, Cataldi, Sandra, Centurion, Jorge Augusto, Ramirex, Luz Maria Cespedes, Colina, Katerine, Almando, Gabriel Augusto Cuevas, De Bleecker, Karina, Dragotto, Antonella, Eiwa, Eiji, Enciso, Juan Carlos, Espinola, Carla, Estigarribia, Lujan, Fernandez, Celso Ariel, Ferreira, Rocio, Figueredo, Blas, Fleitas, Daniel, Fretes, Claudia, Fretes, Martin, Gonzalez, Walter Rene Fretes, Ruiz, Humberto Nicolas Galleano, Gauto, Julio, Gauto, Claudia, Gomez, Viviana, Gómez, Nadia, Insfran, Osvaldo, Karina, Liz, Legal, Christian, Llanes, Oscar, Martínez, Walter, Torres, Walter Rodrigo Martínez, Matsumura, Kiichiro, Galván, Esteban Daniel Mendoza, Noguera, Leila Mereles, Mora, Sergio, Navarro, Daniel, Roman, Lidia Noguera, Núñez, Analia, Ocampos, Lorena, Rojas, Alma Maria Ojeda, Villasboa, Derlis Joel Ojeda, Palacios, Juan, Sosa, Jessica Pamela Portillo, Ramírez, Rossana, Ramos, German, Samudio, Diego, Acosta, Jorge Eduardo Sisa, Tellez, Rodney, Urquhart, Porfiria, Vera, Beatriz, Florentin, Jorge David Vera, Vidallet, Daniel, Villalba, Gilce Teresita, Vömel, Jacob, Aquino, Laura, Martinez, Marisa Natalia, Patiño, Cesareo Saldivar, Aguayo, Omar, Aguilera, Maria Esther Ferreira, García, Federico, Giangreco, Maria, Osorio, Derlis, Sosa, Cynthia Marlene Rodríguez, Villanueva, Paulo, Rolon, Sandra Elizabeth Centurion, Ohara, Rozana, Portillo, Juan Marcelo, Cano, Ruben Milciades Varela, Melgarejo, Juan Manuel Baez, Candia, Francisco Vidal, Chirico, Carlos, Pineda, Sofia Belen Diaz, Vera, Diego Alfonso Paiva, Valdovinos, Ayrton Facundo, Velazquez, Dahiana Fatima, Arriola, Diego Raul Abente, Britos, Analia, Cantero, Daniel, Centurión, Jessica, Bareiro, Ricardo Ignacio Olmedo, Duarte, Dayhana, Paredes, Susana, Rojas, Carlos Pfingst, Delgado, Angel Luis Agüero, Godoy, Juan Marcelo Delgado, Lohse, Helmut Alfredo Segovia, Benitez, Oscar, Luraschi, Victor, Molinas, Joel, Añasco, Dulce, Barreto, Alejandro Arévalo, Rivaldi, Cristhian Chavez, Chenu, Martin, Garcia, Luz, Godoy, Rosana, Gustavo Miguel Machain, V, Velázquez, Maria Jose Martinez, Alvarenga, Brayan David Pedroso, Gonzalez, Agustin Rodriguez, Sánchez, Rosa, Sánchez, María Liz, Lohse, Herald Rene Segovia, Segovia, Cesar Giuliano Sisa, Cuenca, Osmar, Melgarejo, Sara, Ferreira, Ever David Sosa, Anaya, Estefany Angela Flores, Huallanca, Evy Yamil Huaman, Palma, Karla Melissa Marchan, Palomino, Liliam, Ordemar, Jorge, Quiroz, Manuel, Sarabia, Victor Diego Caballero, Lozano, Christian, Torres, David, Castro, Henry Rafael Acosta, Bayona‐alvarado, Gabriel, Cruz, Joao, Lizzetti, Grecia, Morales, Victor Vasquez, Ormeño, Martin, Ortiz, Liz, Roca, Kewin Quispe, Quispe‐cruz, Darwin Artidoro, Sanz, Edgar, Poma, Katherine Tataje, Seto, Gaby Susana Yamamoto, Palacios, Carlos, Mejia, Juan Francisco Pintado, Barandiaran, Jose Maria Silva, Huaman, Eduardo, Gamonal, Guillermo Enrique Reyes, Carmelo, Claudia Suazo, Condori, Diana Lizet Cruz, Valverde, Jose Vasquez, Cabrera, Cesar Alberto Vergel, Diaz, Consuelo, Caturiny, Angie Paredes, Salazar, Adolfo, Estupiñan, Joel Jesús Sánchez, Vaez, Marco Sandoval, Arangoytia, Roy, Berrospi, Francisco, Polo, Jorge Luis Bustamante, Coaquira, Jimmy Cárdenas, Escalante, Fernando Cárdenas, Armestar, Darwin Oliver Desposorio, Mora, Sheyla Katherine Diaz, Laura, Jheff, Blanco, Aldo Lopez, Garcia, Karoll Tatiana Meza, Moreno, Jaime, Payet, Eduardo, Villena, Joan Perez, Cardenas, Daniel, Barrionuevo, Luis Alcides García, Valencia, Miguel Roberto Li, Doria, Percy Mansilla, Escalante, Fiorella Palomino, Coronado, Mónica Falcón, Rocha, Pamela Valderrama, Edinson, Ulbar, Huarcaya, Vladimir Laureano Velasquez, Abella, Andrei Cesar, Andal, Carmela, Anoso, Willmar, Bejasa, Monica Maria, Cuasay, Aldrin, Fernandez, Jesus, Mercado, Eunice, Moreno, Amabelle, Palines, Alejandro, Regalado, Trina, Unira, Cristeta, Yacapin, Clarence Pio Rey, Cajucom, Carlo Angelo, Cueto, Mary Anne Carol, Ramos, Charmagne Loren, David, Avril, Merin, John Isaac, Roxas, Alberto, Candelario, Nipseey Pauloe, Lopez, Marc Paul, Ramos, Ramon Alberto, Violago, Khrissa Lea Elisa, Benosa, Yvann Kenneth, De Leon, Louie Czelline, Esguerra, Marlow, Filarca, Rene Luis, Gaddi, Corina, Gagno, Patrick Jovan, Guerra, Jeffy, Morla, Angelica Aubrey, Opano, Rivero, Penserga, Edgardo, Tesil, Mark Jheric, Turingan, Hazel, Aldana, Joel, Almelor, Alyssa Carmina, Almora, Jaime JR, Ang, Angeli Anne, Arada, Maria Angelica, Arbizo, Jeric, Barretto, Diana, Baticulon, Ronnie, Chan, Kevin Ivan P., Cruz, Elmer Jason, Grano, Pauleen, De Leon, Juan Gabriel, De Pano, Jojiemar, Dealino, Maria Angela, Mundo, Daryl Anne, Del Mundo, Hans Jesper, Dela Victoria, Czarlo, Delgado, Juan Miguel Roberto, Detran, Jan Erik, Diaz, Robert Zaid, Dinoy, Edward Arlu, Domingo, Efren, Dulnuan, Heather Grace, Patricio, Dumlao, Elises, Carlo, Estrella, Emmanuel, Flor, Joan Marie, Gana, Grace, Bynlee Stuart, Go, Hilvano‐cabungcal, Ana Melissa, Cesar, Jacinto, Lacuata, Jan Alexeis, Lapitan, Marie Carmela, Laudato, Renee Leen, Legaspi, Gerardo, Ryle, Li, Lobo, Liana Mae, Lukban, Claudine, Macapugay, Christopher John, Magsanoc, Nikko, Manalang, Enrique, Montemayor, Jon‐alexis, Notario, Jaysonnel, Santos, Jan Armelynn, Sarmiento, Abigail, Serrano, Dennis, Siahetiong, Samantha, Solis, Krisniel Florence, Sotalbo, Denorson, Tongol, Erik, Ursabia, Germaine, Patricia Ann, Uy, Valeros, Charmaine Grace, Velasco, Karen Joyce, Venida, Vincent, Yap, Hans Edison, Zamora, Mario Angelo, Agoncillo, Anika Johanna, Antonio, David Vincent, Bangayan, Nicole Robyn, Castro, Marinelle, Estanislao, Grace Lynn, Ganal‐antonio, Anne Kathleen, Ibrahim, Faiyazudin Amado, Jarin, Peter, Ching, Laine Valerie Kongsun, Lim, Josephine Alexandra, Nazal, Mariles, Vaño, Amanda May Ong, Racelis, Louie, Ramos, Kirsten, Reyes, Jeryl Anne Silvia, Rivera, Ron Daniel, Salud, Jose Antonio, Sarte, Elva Marita, Dale Kingsley, Sy, Tancinco, Eileen Grace, Torio, Anna Mariel, Avegail Niña, Uy, Abary, Ryan Rainiel, Jesus, Dabalos, Siquian, Vincent, Yabut, Kenneth, Barcelon, Jose Carlos, Carballo, Inez, Chiu, Jo Ann, Nacion, Aeris Jane D., Pędziwiatr, Michał, Rymarowicz, Justyna, Bobiński, Marcin, Kotarski, Jan, Rasoul‐pelińska, Karolina, Futyma, Konrad, Miotla, Pawel, Rechberger, Ewa, Koczy, Bogdan, Szyluk, Karol, Botelho, Pedro, Lopes, Mariana Branco, Cismasiu, Brigitta, Costa, Paulo Matos, Fallah, Jean‐michel, Freitas, Gonçalo Teodoro Fernandes, Ferreira, Filipa, Nobre, José Guilherme Gonçalves, Henriques, Susana, Lino, Rui, Macedo, Alexandre, Mendes, Cláudia, Barreira, Ana Lúcia Preto, Ramos, Nuno, Rodrigues, Susana Candeias, Santos, Catarina Rolo, Pedro, Ricardo São, Silva, Melissa, Sousa, Carla, Ribeiro, Rui, Santos, José, Alves, Ricardo, Teles, Tobias, Sousa, Liliana B., Carvalho Carvalho, Dulce Helena Ferreira, Soares, Rui Costa, Costeira, Cristina, Graveto, João, Jordão, Daniel Martins, Paiva‐santos, Filipe, Parreira, Pedro, Sousa Salgueiro Oliveira, Anabela, Azevedo, Constança, Machado, Daniela, Semião, Miguel, Bolota, Joana, Cinza, Ana Margarida, Cotovio, Manuel Damasio, Leandro, Sofia, Oliveira, Joana, Lima, Rita Pedroso, Pereira, Mário, Velez, Cristina, Cardoso, Nicole, Domingues, Joana Cristina, Henriques, Pedro, Manso, Maria Isabel, Martins, Ruben, Santos, Gildasio Martins, Morais, Henrique, Pereira, Rute, Revez, Tatiana, Ribeiro, Vera Inês, Ribeiro, Ricardo, Sousa, Sandra, Teixeira, João, Cabral, Ana, Rodrigues, Catarina S., Alves, Paulo, Ferreira, Gonçalo, Neves, Miguel, Rama, Nuno, Sousa, Inês, Almeida, Mafalda, Morais, Ricardo Bettencourt, Campos, Ana, Caroça, Cristina, Bártolo, Mariana Couto, Galindo, Luis, Girao, Ricardo, Pais, José, Vaz, Carlos, Messias, Jose Henrique Albuquerque, Silva, Francisca Brito, Fonseca, Filipa, Maurício, Sandra, Peyroteo, Inês, Ramos, Rodrigo, Salgado, Inês, Santos, Patrícia, Forte, Joana Patena, Santos, Ema, Costeira, Beatriz, Neves, Filipe, Ourô, Susana, Ferreira, Marisa Peralta, Fernandes, Mafalda Sousa, Almeida, Joana Isabel, Almeida Pinto, João, Institut de Recherche sur les Maladies Virales et Hépatiques (IVH), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), GlobalSurg Collaborative, Surgery, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Graduate School, AGEM - Endocrinology, metabolism and nutrition, ARD - Amsterdam Reproduction and Development, Paediatrics, Tytgat Institute for Liver and Intestinal Research, Nepogodiev, D., Simoes, J. 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S., Martinez, L., Martinez, M. J., Nayen, A., la Medina, A. R. -D., Nunez, J., Nashidengo, P. R., Shah, R., Shrestha, A. L., Jonker, P., Kruijff, S., Noltes, M., Steinkamp, P., Wright, D., Abdur-Rahman, L., Ademuyiwa, A., Adisa, A., Osinaike, B., Seyi-Olajide, J., Williams, O., Williams, E., Pejkova, S., Al Balushi, Z., Sayyed, R., Mohsen, M. A., Abukhalaf, S. A., Cukier, M., Gomez-Fernandez, H., Yip, S. S., Ojeda, X. P. V., Sacdalan, M. D., Major, P., Azevedo, J., Cunha, M. F., Zarour, A., Bonci, E. -A., Negoi, I., Efetov, S., Kochetkov, V., Litvin, A., Ingabire, J. A., Bucyibaruta, G., Faustin, N., Habumuremyi, S., Imanishimwe, A., de Dieu, H. J., Munyaneza, E., Ncogoza, I., Ndong, A., Radenkovic, D., Chew, M. H., Koh, F., Ngu, J., Panyko, A., Bele, U., Kosir, J. A., Daoud, H., Bravo, A. M. M., Jayarajah, U., Wickramasinghe, D., Adam, M. E. A. E., Rutegard, M., Sund, M., Adamina, M., Gialamas, E., Horisberger, K., Alshaar, M., Huang, A., Lohsiriwat, V., Charles, S., Jlassi, H., Isik, A., Lekuya, H. M., Kopetskyi, S., Alsaadi, H., Alshryda, S., Alser, O., Bankhead-Kendall, B., Breen, K., Mashbari, H., Cal, F. B., Al-Naggar, H., Maimbo, M., Mazingi, D., Abbott, T., Akhbari, M., Benson, R., Bhanderi, S., Biccard, B., Caruana, E., Chakrabortee, S., Chapatwala, R., Costas-Chavarri, A., Demetriades, A. K., Desai, A., Di Saverio, S., Drake, T., Edwards, J., Evans, J., Fiore, M., Ford, S., Fotopoulou, C., Fowler, A., Futaba, K., Ganly, I., James, H. G., Griffiths, E., Gronchi, A., Hutchinson, P., Hyman, G. Y., Incorvia, J., Jain, R., Jenkinson, M., Khan, T., Knight, S. R., Kolias, A., Kudsk-Iversen, S., Kwan, T. Y., Leung, E., Mayol, J., Mckay, S., Meara, J. G., Mills, E., Moug, S., Patel, A., Perinotti, R., Rice, H. E., Roberts, K., Schache, A., Shaw, R., Smart, N., Stephens, M., Stewart, G. D., Teasdale, E., Vaughan-Shaw, P., Vidya, R., Wright, N., Zimmelman, N., Agastra, E., Thereska, D., Lucchini, S. M., Laudani, V., Chwat, C., Salazar, I. I. P., Pachajoa, D. A. P., Duro, A., Arancibia, J. A. C., D'Aulerio, G., Dudi-Venkata, N., Egoroff, N., Farik, S., Lott, N., Moss, J. -L., Rennie, S., Tan, L., Vo, U. G., Watson, D., Watters, D., Bright, T., Hollington, P., Zhou, X., Kroon, H. M., Farfus, A., Barker, J., Watson, E., Stevens, S., Latif, H., Dawson, A. C., Chuan, A., Muralidharan, V., Wong, E., Ackermann, T., Pacilli, M., Hodgson, R., Heriot, A., Choong, P., Brown, W., Lidder, S., Yeung, J., Traeger, L., Regalo, G., Gourlay, R., Badiani, S., Koh, C., Putnis, S., Haider, F., Mitul, A. R., Komen, N., Dhondt, B., Cappeliez, S., Pigeolet, M., Schoneveld, M., Stijns, J., Oosterlinck, W., Flamey, N., Kpangon, C., Agbadebo, M., Tobome, S. R., Barros, A. V., Junior, S. A., do Amaral Campos, H. G., Gross, J., Coimbra, F. J. F., Kowalski, L. 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Y., Ghozy, S., Sallam, A., Shehta, A., Abdelkhalek, M., Samaka, R., Morsy, A., Sherif, A. E., Negussie, A., Fisseha, T., Shumbash, K., Abebe, M., Yasin, S. M., Akililu, Y. B., Megersa, A., Tefera, T., Assefa, M., Atnafu, B., Tsegaye, B., Bezabih, Y. S., Sisay, S., Bekele, K., Jira, M., Derilo, H., Degefa, E., Tadesse, A., Nidaw, M., Sarjanoja, E., Testelin, S., Boucher, S., Jouffret, L., Lakkis, Z., Le Bian, A. Z., Harper, L., des Deserts, M. D., Andre, B., Slim, K., Verhaeghe, R., Police, A., Girard, E., Chebaro, A., Nkembi, A. S., Arnalsteen, L., Ballouhey, Q., Mege, D., Jeandel, C., Duchalais, E., Bouche, P. -A., Manceau, G., Cretolle, C., Hervieux, E., Girard, N., Seguin-Givelet, A., Gaujoux, S., De Simone, B., Boisson, M., Bergeat, D., Fredon, F., Nappi, F., Kassir, R., Scalabre, A., Migliorelli, F., Ezanno, A. -C., Seeliger, B., Vaysse, C., Charbonneau, H., Misrai, V., Abbo, O., Angeles, M. A., Brunaud, L., Modabber, A., Wolf, S., Kamphues, C., Hohn, P., Glowka, T. 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K., Thakar, S., Jain, K., Kumar, A., Nagar, M., Mishra, T., Sekar, A., Gupta, A., Kaman, L., Karthigeyan, M., Tripathi, M., Rammohan, A., Vayoth, S. O., Rajanbabu, A., Subbian, A., Gupta, R., Raut, M., Evelyn, N., Kannaiyan, R. L., Matai, A., Misra, S., Bhende, V., Muthu, S., Ghosh, I., Sharma, A., Bajaj, A., Rajan, S., Agarwal, G., Pawar, P., Alexander, P., Vijayakumar, M. V., Hameed, Z., Badareesh, L., Chaudhry, N. K., Baliarsing, L., Dharap, S., Kulkarni, A., Thyavihally, Y., Sharma, R. D., Pramesh, C. S., Soni, R., Dube, S. K., Sharma, S., Singh, H., Bains, L., Ghodke, R., Sodhai, V., Maji, S., Basu, S., Mahakalkar, C., Kannan, R., Mehraj, A., Ranganath, N., Phadnis, A., Yadev, I., Kavalakat, A., Mittal, R., Vallam, K. C., Akhavizadegan, H., Maleki, E. R., Kandevani, N. Y., Ikele, H., Mcnestry, C., Fleming, C., O'Brien, S., Elwahab, S. A., Davis, N., Javadpour, M., Mcdonnell, B., Connor, C. O., Bolger, J., Clancy, C., Croghan, S. M., Donlon, N., Cullinane, C., Creavin, B., Muheilan, M., Earley, H., Kabir, S. M. U., Fahadullah, M., Ryan, E., Connelly, T., Hashimoto, D., Alqudah, M. A., Alajalen, A., Omari, R. Y., Qasem, A., Alawneh, Y., Ahmad, A., Aladawi, O., Alrayes, B., Haidar, H., Husain, S., Qassem, F., Sumadi, A., Salhiyeh, A. A., Al-Manaseer, B. M., Alsunna, Z., Ra'Ed, H., Hamad, F. R. B., Abuleil, A., Jimaale, E. A. M., Abu-Mehsen, M., Olaywah, N., Wafi, O., Ababneh, H., Abu-Ismail, L., Khamees, A., Alkhatib, A., Bolatbekova, R., Kulimbet, M., Nurgozhin, T., Saliev, T., Zhussupov, B., Almabayev, Y., Kaidarova, D., Tamoos, K., Aqeelah, A., Mohammed, A. A. K., Al Maadany, F., Alkadeeki, G., Gahwagi, M., Aldressi, W., Amnaina, M., Alansari, A. H. A., Alkaseek, A., Yagoub, G., Amer, A. B., Salem, M., Almugaddami, A., Burgan, D., Abdelkabir, M., Alshareef, K., al Islam Ben Jouira, R., Meelad, A., Bouhuwaish, A., Dwaga, S. 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S., Shaheen, A., Mohammed, Y. S., Shehata, A., Shemeis, M., Shenit, K., Sheta, M., Soffar, A., Tanas, Y., Tarek, A., Yehia, N., Eid, O. K. M., Abdulfattah, A. Y., Elsaghir, A., Elganainy, M. F., Elsayed, O. I., Elmandouh, O., Hamam, O., Shehata, M. A., Abdelaziz, A. A., Abbas, A. M., El-Ghani, W. A., Abd Elazeem, H. A. S., Elsayed, M. A., Abd-Elkariem, A. Y., Abdalla, S., Abdel-Aleem, M., Abdelazeem, K., Abdelfattah, M., Abdelhafez, M., Abdelkarem, M. M., Abdelraouf, A., Abdullaha, L., Abubeih, H., Ahmed, M. E., Ahmed, N. E. A. E., Saad, S. A., Alaa, S., Alhussaini, A., Ali, A. A. A., Ali, I., Ali, W., Mohamed, M. A., Ashraf, M., Bassiouni, M., El-adawy, M. G., El-Sharkawi, M., Elkhayat, H., Elmaghraby, K., Elsdfy, S., Elsharkawy, M., Eltayeb, A., Mohamed, M. E., Essam, E., Fahd, M., Farouk, O., Gadelkareem, R., Ghoneim, A., Takrouney, M. H., Hamdan, A., Hamed, A. E. -R., Hasan, A., Hassanin, M. A., Hawal, I., Henes, K., Herdan, M. O., Hetta, H. F., Ibrahem, O., Ibrahim, I. H., Kamel, M., Khallaf, M., Elghazaly, S. M., Mahfouz, A., Mahmoud, O., Mahran, W., Mahrous, D., Marsis, A., Hussein, A. M., Sayed, A. M., Mohammed, M. M., Mokhtar, A., Monib, F. A., Nageeb, A., Nageh, M. A., Nageh, M., Omar, N. G., Ragab, A., Ramadan, A., Temerik, A. R., Safwat, H., Salah, O., Mahmoud, A. E. S., Saleh, A., Sallam, M., Samir, A., Sayad, R., Sayed, E., Sedik, A. S., Shahine, M., Soliman, A., Soliman, W., Taher, M. G., Wanees, R., Yousof, E. A., Youssef, A., Elabedeen, O. Z., Hassan, A. E. S., Fattah, S. A., Abostate, A., Ali, S., Salama, S. A. S., Allam, M., Alsadek, A., Arafa, E., Barakat, A., El Sherpiny, M., Elbehairy, G., Eleisawy, M., Elgendy, A., Elhawary, R., Eltregy, S., Hamdy, M., Hassan, G., Khalifa, A., Mahmoud, A., Altukhy, A. M., Noah, K., Noureldin, Y., Nowar, M., Saad, M., Elsaeidy, A. S., Elsaeidy, K. S., Sabry, H., Sameh, M., Said-elnaby, A. T., Zahed, M., Zahran, M., Zaid, A., Zoghary, A. Z., Atef, M., Abdelhamid, M. H. S., Alazab, E., Awad, A. K., Darwesh, A., El Fiky, L., Elgarhy, I., Nassef, M. A., Shaban, M., Shalaby, M. M. M., Wahba, A., Fouad, O. Y. O., Elsadek, M., Gad, D., Abdelsamed, A., Bayomy, A., Elsalhy, M., Fahim, A., Seleim, A., Afifi, E., Gamal, F. A., Gamal, M., Eldesouky, O., Eldwini, M. H. E. E., Fahmy, M. M. F., Hussein, A., Ouf, A., Sami, O., Shaat, S., Bahi, A. W. M. K., Atea, A., Gamal, I., El Kassas, M., Omar, W., Tawheed, A., Al-oribi, S., Aly, N. K., Elfiky, M., Elmaghraby, A. E., Elrahmany, A., Elsherbeeny, M., Helmy, Y., Nabil, A., Farahat, A. S., Soliman, M., Wassef, A., Abdelrahman, A., Elsaban, S., Ghaly, G., Hamdy, R., Mondy, H., Abdallah, L., Darwish, A. K. Z., Rabea, M., Azab, M. A., Abbas, A. S., El-Deeb, M., Fawzy, M., Ibraheem, M., Bakry, A., Elnems, S., Elsheikh, R., Gbreel, M. I., Hafez, M., Jammal, M., Hamam, K. M., Makram, A. M., Makram, O. M., Rabie, S., Askalany, S. Y., Abushanab, M. M. I., Eid, A., El Ghalid, M. R. I. A., Abdelaty, A. A., Fayad, E. A., Radwan, A., Shokry, A., Farouk, A. M., Elfallal, A., Elfeki, H., Elsaeed, M., Elsaid, M., Makroum, A., Elsaid, D. M., Mostafa, M., Omar, M. W., Rezk, M., Sakr, A., Sanad, A., Shalaby, M., Shawqy, M., Shetiwy, M., Shoma, A., Tawakl, N., Yunes, A., Abouzid, A., Atallah, K., Elmorsi, R., Elsherbini, A., Gaballa, K., Hamdy, O., Metwally, I. H., Refky, B., Zuhdy, M., Zahran, M. A., Abdellah, F., Abdelmawla, A., Abdrabou, A., Abubakr, A., Al Gohary, R., Al-Shazly, M. H., Allam, A. R., Aposaeeda, A., Asfour, M., Ayman, A., Omran, A. A., Daghash, I. T., Ebada, M. A., Eid, T., El Kelany, A., El Shemy, E., El-Hag-Aly, M., Elgamal, O., Elghoury, M., Elkased, A. F., Ellakwa, T. H., Ellakwa, H., Elmeanawy, A., Elnoamany, S., Elsabagh, A., Elsawey, A., Elshabrawy, E., Elshakhs, S., Elsoudy, N., Ezzat, E., Fawzy, A., Gamal, A., Gameel, A., Gharbia, K., Ghonaim, M., Ghonaim, A., Hafez, A., Ismail, Z., Khaled, M., Meselhy, M., Mikhail, P., Mougahed, M., Mustafa, A., Nada, A., Omran, J., Ebiad, M. S., Saleh, I., Salem, N., Salem, O., Selim, S., Shalaby, G., Sherif, H., Soltan, H., Wahbah, M., Abdelbary, E. Z., Zayan, A. H., Afify, A., Hadiya, H. A., Elshref, M. J., Ahmed, M. M., Nasser, N., Abdeldayem, H., Salama, I. A., Ammar, K., Ayoub, I., Badawy, M. T., Balabel, M., Fayed, Y., Gad, E. H., Gomaha, M., Hammad, E., Hegazy, O., Hegazy, E., Ibrahim, T., Kallaf, M., Macshut, M., Magdy, A., Oteem, A., Samaan, S., Sharshar, M., Shoreem, H., Soliman, E., Soliman, H. E., Yassein, T., Zakaria, H., Eldaly, A., Mashaly, S., Abd-Elsalam, S., Abdel-Elsalam, W., Shaalah, A. A., Elbahnasawy, M., Elhalaby, I., Hamada, M., Soliman, S. H., Hawila, A., Morsy, M. S., Naieem, M., Nasreddin, M., Salman, S., Sarsik, S., Shabana, A., Tolba, E., Zagho, M., Kams, L., Ratsep, T., Riips, K., Abdurehman, O., Admasu, A., Berhea, A., Eado, Y., Hailu, N., Kidane, M., Mohammed, A., Mohammed, K., Tibelt, A., Woldemariam, M. A., Yonael, L., Alemu, M., Aklilu, A. T., Asele, F., Assefa, S., Azmach, D., Bekele, P., Mamo, M., Maru, N., Mekuria, H., Menkir, A., Mikru, F., Siraw, E., Suga, H., Sumoro, N., Teka, A., Thomas, E., Woldemariam, D., Wubishet, E., Abebe, E., Abebe, K., Asfaw, F., Bergene, E., Eshete, M., Gebrehiwot, F. G., Gedefaw, Y., Mengesha, M. W., Mengiste, N., Menjeta, A., Muleta, M. B., Sefera, S., Tedla, Y., Teklu, D., Teshome, H., Tirfe, L., Tsegabrhan, S., Tsehaye, M., Worku, B., Molla, M., Supha, M., Taye, T., Abebe, N., Alemu, B., Chanie, A., Degefu, H., Desalegn, D., Gebre, H., Hussen, H., Kassa, D., Laeke, T., Mammo, T. N., Negash, S., Sahlu, A., Tiruneh, A. G., Wolde, A., Woldeselassie, H. G., Ahmed, M. Y., Zewdneh, B., Fentaw, J., Salia, S., Tabore, K., Gurara, A., Abreha, T., Abrha, T., Beyene, G., Weldu, M. A., Abdissa, D., Tesfaw, M., Wolle, M., Asmamaw, D., Assefa, B. Z., Bedane, D., Bekele, E., Getie, A., Melkamu, S., Mengesha, W., Shumye, G., Tagele, G., Tesfa, A. A., Workneh, W., Genetu, S., Mebratu, E., Chanyalew, L., Deresse, T., Girma, A., Seid, M., Shimelash, D., Shitaw, A., Ayalew, T., Diress, T., Kassahun, B., Kassaye, B., Mulugeta, E., Tesfaw, G., Yimenu, B., Benecha, S., Aman, M., Mekete, A., Tesemma, A., Mohammed, A. A., Abdullahi, Y. Y., Adem, E., Ahmedin, M., Assefa, Y., Ayde, F., Berhe, A., Gebremeskel, Z., Siyoum, E. G., Teresa, S., Wude, Z., Yemer, F., Yohannes, D., Zeleke, E., Zerihun, G., Degefe, D. W., Derilo, H. T., Eliyas, N., Bayissa, F., Deressa, Y., Gemechu, L., Gurmu, T., Kasaye, A., Melese, L., Muleta, L., Mulugeta, G., Taye, S., Teshome, A., Tesso, B., Gebrekirstos, G., Haile, M., Kassa, H., Saddik, M., Mengist, A., Heikkinen, J., Helminen, O., Huhta, H., Kotkavaara, T., Mosorin, M. -A., Pitkanen, J., Qian, C., Sinikumpu, J., Sova, H., Tastula, M., Virta, V. P., Bettoni, J., Dakpe, S., Devauchelle, B., Lavagen, N., Bastard, F., Bin, K., Breheret, R., Fouquet, O., Gueutier, A., Henric, N., Kahn, A., Kun-Darbois, J. -D., Moukoko, D., Pineau, A., Podevin, G., Schmitt, F., Alshawared, F., Beyrne, C. D., Lugans, L., Marie-Macron, L., Doussot, A., Ahmed, O., Alnajjar, L., Mis, T. C., Fliss, S., Giocanti-Auregan, A., Gregory, T., Guiraudet, P., Le Fouler, A., Martinod, E., Onorati, I., Peretti, M., Quilichini, J., Radu, D., Tresallet, T., Andro, C., Maffert, A., Chapman, T., Halden, M., Fayon, J., Mattevi, C., Marion, H., Bendjemar, L., Lionel, C., Mikhael, E., Macias, R. M., Villefranque, V., Volpin, E., Trilling, B., Boleslawski, E., Constance, H. -L., Drubay, V., El Amrani, M., Eveno, C., Lecolle, K., Martin, L., Noiret, B., Piessen, G., Truant, S., Zerbib, P., Aubry, E., Denimal, F., Lamblin, A., Barrat, B., Caire, F., Christou, N., Fourcade, L., Laloze, J., Bouv-Hez, M. M., Salle, H., Taibi, A., Tricard, J., Usseglio, J., Chopinet, S., Gregoire, E., Delpont, M., Blanchard, C., Crenn, V., de Vergie, S., Denis, W., Fragnaud, H., Regenet, N., Rigaud, J., Varenne, Y., Anract, P., Barat, M., Biau, D., Dautry, R., Dohan, A., Idier, L., Lang, E., Thouny, C., Tzedakis, S., Audenet, F., Cazelles, A., Chamouni, A., Karoui, M., Mejean, A., Clermidi, P., Langlais, T., Leonelli, L., Maisonneuve, E., Nicolas, B., Perrot, O., Prost, D., Thomin, A., Thouement, T., Athiel, Y., Berry, R., Boddaert, G., Bonnet, S., Cathala, N., Conso, C., Denet, C., Laforest, A., Levy-Zauberman, Y., Macek, P., Mombet, A., Ollat, D., Scamporlino, A., Zadegan, F., Amine, C. A., Baratte, B., Chartier-Kastler, E., Chereau, N., Colas, P. -A., Duquesne, I., Genser, L., Petit, G. G., Goumard, C., Hasani, A., Lim, C., Martellotto, S., Melot, C., Menegaux, F., Pinar, U., Pocard, M., Roupret, M., Scatton, O., Seisen, T., Severine, N., Turco, C., Chouillard, E., Beganton, P., Frasca, D., Kerforne, T., Corbiere, L., Gasmi, A., Ghemame, M., Guerin, S., Khene, Z. -E., Livin, M., Mahmoud, F., Maillot, B., Merdrignac, A., Mouriaux, F., Robin, F., Sulpice, L., Vazeux, C., Bertheuil, N., Bonneau, S., Cazemajou, C. T., Cousin, I., Defert, C., Fustec, E., Juricic, M., Lavoue, V., Mevel, G., Timoh, K. N., Renault, A., Violas, P., Schwarz, L., Tuech, J. J., Morichau-Beauchant, T., Sauvat, F., Haddad, E., Vermersch, S., Patrizi, A., Roux, A., Aime, A., Malgras, B., Cherkaoui, Z., D'Urso, A., Felli, E., Gonzalez, C. A., Ignat, M., Mutter, D., Pessaux, P., Vix, M., Gornes, H., Vergriete, K., Berthoumieu, P., Genre, L., Le Gall, H., Pierre, T., Chalhoub, M., Del, M., Martinez, A., Fuchs-Buder, T., Vancon, A., Faya, C. A., Asaph, E., Baruwa, E., Hofman, G., Machemedze, S., Idiata, M. M., Muhemi, R., Ndizeye, O., Nkunzimana, E., O'Connor, J., O'Connor, Z., Tchoba, S., Boumas, N., Devidze, G., Pisarevi, G., Baumgarten, S., Grusser, L., Holzle, F., Kowark, P., Kowark, A., Rossaint, R., Schafer, B., Wallqvist, J., Winnand, P., Ziemann, S., Anthuber, M., Broecheler, T., Edlinger, F., Gosslau, Y., Hyhlik-Duerr, A., Maksymiw, F., Shiban, E., Sommer, F., Sommer, B., Zerwes, S., Beyer, K., Lauscher, J. C., Lee, L. D., Loch, F. N., Schineis, C., Aghalarov, I., Belyaev, O., Braumann, C., Enste, A., Fahlbusch, T., Herzog, T., Horn, J., Jedanowski, J., Knipschild, J., Luu, A. M., Mohan, P. V., Siemen, L., Slobodkin, I., Strotmann, J. J., Uhl, W., Wolf, K., Coburn, M., Egger, E., Eichhorn, K., Enderes, J., Far, F., Franzen, A., Guresir, E., Hadjiathanasiou, A., Kalff, J. C., Kohistani, Z., Manekeller, S., Mustea, A., Probst, C., Randau, T., Recker, F., Schuss, P., Strassberger-Nerschbach, N., Strieth, S., Treede, H., van Beekum, C. J., Vatter, H., Velten, M., Vilz, T. O., Wirtz, D., Wittmann, M., Behr, M., Bulian, D. R., Marche, B., Moczko, T., Otchwemah, R., Schulz, S. -A., Thomaidis, P., Bruns, C., Cursiefen, C., Domrose, C., Fuchs, H., Heindl, L. M., Mallmann, M. R., Mallmann, C., Ratiu, D. A., Canzler, U., Distler, M., Korn, S., Meisel, C., Meusel, M., Petzold, A., Praetorius, C., von Renesse, J., Weitz, J., Wimberger, P., Alkhanji, N., Fung, S., Jaber, K., Knoefel, W. T., Vay, C., Clonda, O., Cottin, T., Juodiene, E., Juodis, D., Petrovic, B., Solodarenko, O., Binder, J., Grutzmann, R., Hackner, D., Junker, S., Arsalan, M., Banek, S., Chun, F., Faqar-Uz-Zaman, S. F., Keese, D., Kluth, L., Rolle, U., Van Linden, A., Walther, T., Bayer, J., Beck, J., Fung, C., Kraus, L. M., Leiber, C., Neidert, N., Sandkamp, R., Schnell, O., Schulte, A., Strahle, J., Jarmusch, S., Novotny, H. F. G., Becker, J., Fulghum, C., Gonschor, B., Herbolzheimer, M., Nicolaiciuc, S., Trulson, A., Vogelsang, H., Zimmermann, B., Akbari, A. A., Boening, A., Edinger, F., Hecker, M., Knitschke, M., Koch, C., Reichert, M., Schmidt, G., Schneck, E., Uhl, E., Nobrega, S. F., Kauffmann, P., Miller, C., Nemeth, M., Sievers, D., Kisser, U., Kleeff, J., Klose, J., Lorenz, K., Papendick, N., Plontke, S., Seiwerth, I., Steer, S., Thomssen, C., Ukkat, J., Dumpies, C. W., Gessner, M., Hanke, J., Klauke, F., Leuschner, S., Mendel, T., Muller, K., Schmidt, B., Schreiter, V., Stosberg, P., Vinz, F., Herbig, B., Sander, J., Schulte, T. M., Betz, C. S., Bewarder, J., Bier, J., Bottcher, A., Burg, S., Busch, C. -J., Bussmann, L., Gosau, M., Heuer, A., Izbicki, J., Klatte, T. O., Konig, D., Kopke, L. -G., Moeckelmann, N., Praetorius, M., Priemel, M., Stadlhofer, R., Stangenberg, M., Uzunoglu, F. G., Wittig, L., Zech, H., Zeller, N., Roux, F., Spaeth, T., Fricker, R., Muller, T., Schroder, L., Alasmari, M., Boeker, C., Hakami, I. A., Mall, J. W., Kyritsis, I., Graeb, C., Huber-Strossner, K., Branzan, D., Doss, M., Gockel, I., Jodicke, C., Osterhoff, G., Pempe, C., Sucher, R., Adler, T., Kelly, K., Merkle, J., Siebert, J., Hirche, C., Kneser, U., Tapking, C., Agrawal, R., Qureischie, H., Croner, R., Koslowski, L., Krause, H., Meyer, F., Turial, S., Al-Nawas, B., Battista, M. J., Goedeke, J., Hasenburg, A., Heider, J., Mueller, L. K., Zeller, S., Jentschura, S. L. P., Kowalewski, K. -F., Kriegmair, M., Mannle, D., Reissfelder, C., Rotter, N., Scherl, C., Seyfried, S., Kirschniak, A., Rolinger, J., Wilhelm, P., Bader, F. G., Ottl, S., Behr, A. V., Diamantis, A., Fichter, A., Grill, F., Heck, M., Jira, D., Kallmayer, M., Koll, F., Luhne, S., Meyer, B., Patachia, R., Pergolini, I., Safi, S., Schaffer, C., Schirren, M., Wegmann, H., Wirth, M., Zhu, Z., Aghamaliyev, U., Almaghrabi, M., Bocker, W., Bruder, J., Frank, K., Herterich, V., Huber, V., Ilmer, M., Kammerlander, C., Neuerburg, C., von Ehrlich-Treuenstatt, V. H., Werner, J., Borner, N., Fegg, F., Hartmann, D., Ladurner, R., Liokatis, P., Patzer, K., Schlager, J. G., Smolka, W., Zimmermann, P., Hatz, R., Steinhart, D., Glowalla, C., Schneidmueller, D., Henkel, K. W., Steiner, M., Holz, K., Knorr, C., Kuehlmann, B., Oikonomou, K., Prantl, L., Flurschutz, R., Honarpisheh, H., Kroger, M., Lepiorz, D., Luths, C., Niemeier, A., Sras, Y., Strate, T., Winter, T., Freiman, T., Gessler, F., Won, S. -Y., Widyaningsih, R., Hoffmann, S., Schafer, R. C., Thiel, J. 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K., Kar, M., Khuntia, S., Kumar, P., Kumar, R., Kv, A., Mishra, A., Mishra, S., Mittal, Y., Muduly, D., Panda, R., Panigrahi, S., Parija, S., Patra, S., Rout, B., Sahu, R., Sarkar, S., Singh, S., Sudha, S., Sultania, M., Tripathy, S., Varghese, P., Kansay, R., Kaushik, R., Gupta, S. K., Khare, S., Kumar, V., Mohindra, S., Patil, N., Salunke, P., Savlania, A., Singh, K., Pradeep Krishna, R. V., Narasimhan, G., Rela, M., Appukuttan, A., Goudar, S., Mallick, S., Titus, C., Chidambarasamy, E. S., Madhavan, D., Murugesan, A., Narayanasamy, K., Barani Kumar, P. B., Rajan, F., Vijayaragavan, P., Borthakur, B., Chauhan, T. S., Govil, A., Hanjoora, V. M., Srivastava, A., Tiwari, S., Vishwani, V., Pendyala, K. S., Prasad, N., Bothra, J., Deb, M., Herle, K., Jayaram, H., Kannaiyan, L., Krithiga, A., Mukta, W., Nagpal, P., Pathak, P., Banerjee, S., Chaudhary, R., Choudhary, G. R., Chugh, A., Dixit, P., Elhence, A., Gahlot, N., Garg, M., Ghuman, N. K., Jha, D., Kala, P., Kaur, A., Madduri, V., Pandey, H., Pareek, P., Pathak, M., Rathod, K. J., Rodha, M. S., Saxena, R., Sharma, N., Shekhar, S., Singh, M., Suryanarayanan, B., Vishnoi, J. R., Amin, S., Sharma, T., Murugesan, K., Ramasamy, A. B. S., Chatterjee, D., Gerber, C. G., Naskar, U., Aggarwal, G., Agrawal, S. K., Jain, P., Jain, D., Kewlani, V., Pipara, A., Priya, N., Raja, R., Shakya, S., Thambudorai, R., Kharkongor, D., Akhtar, N., Anand, A., Asnani, M., Chaturvedi, A., Chaurasia, A., Enny, L. E., Garg, S., Jaiswal, A. K., Jaiswal, S., Jaware, Y., Kala, N., Karnatak, R., Kumar, U., Shrivastava, A. K., Mehrotra, S., Mishra, B., Namrata, Ojha, B. K., Ozair, A., Pal, U. S., Pandey, A., Raja, N., Ramakant, P., Roy, A., Sachan, R., Sankhwar, S., Sankhwar, P., Sarin, D., Shukla, A., Singh, K. R., Singh, R., Singh, U., Solanki, V., Sonkar, A. A., Srivastava, C., Suryawanshi, P., Tewarson, V., Verma, R., Verma, M. L., Yadav, A., Chand, G., Chanthar, K. M. M. V., Hoysal, D., Batra, N., Bhatti, A., Chopra, R., David, S., Dhar, T., Dutt, U. K., Dutta, R., Gandhi, S., Haque, P. D., Paul Sudhakar John, B., Veetil, S. K., Kaur, G., Kumar, N., Luther, A., Mahajan, A., Mandrelle, K., Mathews, S., Michael, V., Mukherjee, P., Pargal, P., Paul, R., Phillip, A., Phillips, R., Samuel, A., Singh, N., Singh, I., Singh, A., Grewal, S. S., Singhania, A., Thirumalai, S., Varghese, A., Wesley, J., Thomas, J., Zechariah, P., Ifthikar, M. A., Mathew, R. T., Shetty, R., Vijaykumar, M. V., Hameed, B. M. Z., Ibrahim, S., Jyothish, G., Krishna, S., Mathew, S., Kumar, A. S., Sinha, P. K., Sridhar, R., Agarwal, S., Balasubramaniam, S., Chhatrapati, S., Deshpande, C., Dharia, A., Fernandes, S., Gore, M., Jayakumar, A., Mhamane, R., Nirgude, A., Parab, S., Patil, M., Peswani, A., Sahu, A., Samel, S., Shah, F., Haridas, D., Shetty, V., Abraham, B., Agarwal, V., Ahmad, Q., Asari, A., Attar, M. I., Ayyalasomayajula, N. 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C., Abel, L., Agrawal, M., Rabindranath, B., Baldia, M., Barla, R. K., Beck, M., Benjamin, S., Bliss, J., Cherian, L., Devarakonda, S., Ete, G., George, A. J. P., Iovino, Claudio, CovidSurg Collaborarive, Frisoni T., Palmerini E., Donati D., Traina F., Solaini L., Pignatti M., Conti A., Internal Medicine, Collaborative, COVIDSurg, Collaborative, GlobalSurg, Apollo - University of Cambridge Repository, COVIDSurg Collaborative, Li, E, Emanuele Cammarata, Sofia Campanella, Daniela Canzonieri, Adriana Cordova, Federico De Michele, Ettore Dinoto, Mara Franza, Leo Licari, Daniele Matta, Domenico Mirabella, Felice Pecoraro, Roberto Pirrello, Pierfrancesco Pugliese, Fernando Rosatti, Giuseppe Salamone, Francesca Toia, Massimiliano Tripoli, Vito Chiantera, Leo Licari, Palmisano, Silvia, de Manzini, Nicolo', Collaborative, Covidsurg, Collaborative, Globalsurg, Faculty of Medicine and Pharmacy, Clinical sciences, Medical Oncology, Basic (bio-) Medical Sciences, Diabetes Pathology & Therapy, Gastroenterology, Fruscio, R, Ornaghi, S, Surgical clinical sciences, COVIDSurg Collaborative (GlobalSurg, Collaborative), Beretta, L, and Aldrighetti, L.
Subjects: Male, pulmonary embolism, Internationality, Settore MED/18 - CHIRURGIA GENERALE, Deep vein, Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], infectious diseases, Cardiovascular, SARS‐CoV‐2, surgery, COVID-19, SARS-CoV-2, deep vein thrombosis, venous thromboembolism, Cohort Studies, Postoperative Complications, Anesthesiology, Medicine and Health Sciences, Prospective Studies, 610 Medicine & health, Prospective cohort study, Lung, 11 Medical and Health Sciences, Confounding, Hematology, Middle Aged, Thrombosis, 17 Psychology and Cognitive Sciences, Pulmonary embolism, medicine.anatomical_structure, Cohort, COVID-19/complications, Postoperative Complications/etiology, Original Article, Female, Patient Safety, Life Sciences & Biomedicine, Human, Adult, medicine.medical_specialty, Adolescent, Clinical Sciences, GlobalSurg Collaborative, Venous Thromboembolism/etiology, NO, COVIDSurg Collaborative, Young Adult, Medicine, General & Internal, Age Distribution, Clinical Research, COVID‐19, General & Internal Medicine, medicine, Humans, Sex Distribution, Aged, Science & Technology, business.industry, Prevention, Neurosciences, deep vein thrombosi, Pneumonia, Odds ratio, Original Articles, medicine.disease, Surgery, Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10], Prospective Studie, Good Health and Well Being, Anesthesiology and Pain Medicine, Human medicine, Postoperative Complication, Cohort Studie, business, Venous thromboembolism, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: SARS-CoV-2 has been associated with an increased rate of venous thromboembolism in critically ill patients. Since surgical patients are already at higher risk of venous thromboembolism than general populations, this study aimed to determine if patients with peri-operative or prior SARS-CoV-2 were at further increased risk of venous thromboembolism. We conducted a planned sub-study and analysis from an international, multicentre, prospective cohort study of elective and emergency patients undergoing surgery during October 2020. Patients from all surgical specialties were included. The primary outcome measure was venous thromboembolism (pulmonary embolism or deep vein thrombosis) within 30 days of surgery. SARS-CoV-2 diagnosis was defined as peri-operative (7 days before to 30 days after surgery); recent (1-6 weeks before surgery); previous (≥7 weeks before surgery); or none. Information on prophylaxis regimens or pre-operative anti-coagulation for baseline comorbidities was not available. Postoperative venous thromboembolism rate was 0.5% (666/123,591) in patients without SARS-CoV-2; 2.2% (50/2317) in patients with peri-operative SARS-CoV-2; 1.6% (15/953) in patients with recent SARS-CoV-2; and 1.0% (11/1148) in patients with previous SARS-CoV-2. After adjustment for confounding factors, patients with peri-operative (adjusted odds ratio 1.5 (95%CI 1.1-2.0)) and recent SARS-CoV-2 (1.9 (95%CI 1.2-3.3)) remained at higher risk of venous thromboembolism, with a borderline finding in previous SARS-CoV-2 (1.7 (95%CI 0.9-3.0)). Overall, venous thromboembolism was independently associated with 30-day mortality (5.4 (95%CI 4.3-6.7)). In patients with SARS-CoV-2, mortality without venous thromboembolism was 7.4% (319/4342) and with venous thromboembolism was 40.8% (31/76). Patients undergoing surgery with peri-operative or recent SARS-CoV-2 appear to be at increased risk of postoperative venous thromboembolism compared with patients with no history of SARS-CoV-2 infection. Optimal venous thromboembolism prophylaxis and treatment are unknown in this cohort of patients, and these data should be interpreted accordingly. ispartof: ANAESTHESIA vol:77 issue:1 pages:28-39 ispartof: location:England status: published
Published: 2022

24. Long-term outcomes of living donor liver transplantation after locoregional treatment for hepatocellular carcinoma: an experience from a single institute

Author: Osamu Itano, Taizo Hibi, Yuko Kitagawa, Kenta Inomata, Kentaro Matsubara, Hideaki Obara, Minoru Kitago, Yuta Abe, Minoru Tanabe, Go Wakabayashi, Motohide Shimazu, Shigeyuki Kawachi, Masahiro Shinoda, and Hiroshi Yagi
Subjects: Adult, Liver Cirrhosis, Male, medicine.medical_specialty, Carcinoma, Hepatocellular, Time Factors, medicine.medical_treatment, Therapeutics, Liver transplantation, Milan criteria, Gastroenterology, 03 medical and health sciences, 0302 clinical medicine, Surgical oncology, Internal medicine, Living Donors, medicine, Humans, Embolization, Stage (cooking), Neoplasm Staging, Retrospective Studies, business.industry, Liver Neoplasms, Retrospective cohort study, General Medicine, Middle Aged, medicine.disease, Liver Transplantation, Survival Rate, Transplantation, Treatment Outcome, Liver, 030220 oncology & carcinogenesis, Hepatocellular carcinoma, Female, 030211 gastroenterology & hepatology, Surgery, Neoplasm Recurrence, Local, business
Abstract: The precise role of downstaging or bridge therapy for cirrhotic patients with hepatocellular carcinoma (HCC) beyond or within the Milan criteria (MC) before living donor liver transplantation (LDLT) remains undefined. We conducted a single-center, retrospective cohort study of 40 cirrhotic patients with HCC who underwent LDLT from 2000 to 2018. Dynamic computed tomography images at the initial presentation and immediately before LDLT as well as the final histopathological findings were reviewed to determine whether they met or exceeded MC. Overall, 29 patients underwent various pre-transplant HCC treatments, including ablation and embolization (bridge therapy, n = 20; downstaging, n = 9). Of the 9 patients who were initially beyond the MC, 4 (44.4%) were successfully downstaged to within the MC. Five patients beyond the MC immediately before LDLT demonstrated a significantly worse 5-year overall survival rate than patients within the MC (16.7% vs. 82.2%, P = 0.004), regardless of the radiological HCC stage at presentation or the final pathological tumor status. All 3 recurrent patients had HCC beyond the MC immediately before transplant and died of their disease at 13, 24, and 50 months after transplantation. Successful downstaging for HCC cases beyond the MC provides similar outcomes to those within the MC at presentation, regardless of the histopathological findings.
Published: 2020

25. Improvement strategies for successful next-generation sequencing analysis of lung cancer

Author: Shingo Matsumoto, Takahisa Kawamura, Kazumi Nishino, Motohiro Tamiya, Hanako Kuhara, Harumi Nakamura, Kika Kuno, Jiro Okami, Kei Kunimasa, Hayato Kawachi, Toru Kimura, Toru Kumagai, Koichi Goto, Shin-ichi Nakatsuka, Takako Inoue, and Tomohiro Maniwa
Subjects: Adult, Male, 0301 basic medicine, Cancer Research, medicine.medical_specialty, Lung Neoplasms, Cancer therapy, DNA sequencing, 03 medical and health sciences, 0302 clinical medicine, Humans, Medicine, Medical physics, Sampling (medicine), Prospective Studies, Precision Medicine, Lung cancer, Aged, Aged, 80 and over, business.industry, High-Throughput Nucleotide Sequencing, DNA, General Medicine, Middle Aged, Precision medicine, medicine.disease, 030104 developmental biology, Oncology, 030220 oncology & carcinogenesis, Female, Sample collection, business, Next generation sequence
Abstract: Aim: We aimed to improve the success rate of NGS (next-generation sequencing) analysis through improved strategies of lung cancer sampling. Materials & methods: The improvement strategies are as follows. Surgically resected specimens were preferentially submitted in cooperation with pathologists and surgeons. In bronchoscopic samples, the size of the sample collection device and the number of samples collected was increased. Results: The strategies increased the success rate of NGS analysis of DNA from 69.3 to 91.1%, and that of RNA from 64.6 to 90.0%. Discussion: The introduction of strategies aimed at improving the success of NGS analysis resulted in an improvement in the success rate and brought us closer to the delivery of effective precision medicine in cancer therapy.
Published: 2020

26. Did expanded access to denture services improve chewing ability in the Korean older population? Results of a regression discontinuity analysis

Author: Ichiro Kawachi and Nam-Hee Kim
Subjects: Gerontology, Male, National Health and Nutrition Examination Survey, medicine.medical_treatment, Population, lcsh:Medicine, Dental insurance, Article, Treatment and control groups, 03 medical and health sciences, 0302 clinical medicine, Medical research, stomatognathic system, Republic of Korea, medicine, Humans, 030212 general & internal medicine, education, lcsh:Science, Geriatric Assessment, Dentures, Aged, Aged, 80 and over, education.field_of_study, Multidisciplinary, business.industry, lcsh:R, Health care, 030206 dentistry, Middle Aged, Health Surveys, stomatognathic diseases, Socioeconomic Factors, Expanded access, Regression discontinuity design, Population study, Mastication, Female, lcsh:Q, business
Abstract: The Korean National Health Insurance expanded the dental insurance in 2012 to cover denture services for older adults. We analyzed whether the new policy improved of chewing ability in the eligible population. We used regression discontinuity (RD), a quasi-experimental design, to analyze the effects of the expanded dental insurance. We analyzed data from the Korea National Health and Nutrition Examination Survey conducted in 2010 and 2015. The study population consisted of two groups: the treatment group, aged 65 and above who were eligible; and the control group, under 65 years of age who were not eligible for the dental insurance benefit. The main outcome evaluated was self-reported chewing difficulty. The RD analysis showed that in 2015, the chewing difficulty in aged above 65 was 2.2% lower than in those aged under 65. However, the difference was not statistically significant (P = 0.76). The results from the falsification testing of predetermined covariates, placebo cut-offs, and bandwidths validated our main conclusion. The expansion of dental insurance benefits to include dentures for the older adults did not improve the chewing ability in the eligible population. Future studies should evaluate long-term outcomes of oral health as well as the social impacts on the elderly.
Published: 2020

27. Clinicopathological features and risk factors for lymph node metastasis in early-stage non-ampullary duodenal adenocarcinoma

Author: Yorimasa Yamamoto, Toshiaki Hirasawa, Akiyoshi Ishiyama, Tomohiro Tsuchida, Hiroshi Kawachi, Yusuke Horiuchi, Toshiyuki Yoshio, Junko Fujisaki, Shoichi Yoshimizu, Hiromichi Ito, and Kaoru Nakano
Subjects: Adult, Male, medicine.medical_specialty, Lymphovascular invasion, Adenocarcinoma, Gastroenterology, 03 medical and health sciences, 0302 clinical medicine, Duodenal Neoplasms, Risk Factors, Surgical oncology, Internal medicine, medicine, Humans, Neoplasm Invasiveness, Stage (cooking), Lymph node, Aged, Neoplasm Staging, Retrospective Studies, Aged, 80 and over, business.industry, Middle Aged, Major duodenal papilla, Dissection, medicine.anatomical_structure, Lymphatic Metastasis, 030220 oncology & carcinogenesis, Lymph Node Excision, Female, 030211 gastroenterology & hepatology, Duodenal adenocarcinoma, Lymph, business
Abstract: Management strategies for primary non-ampullary duodenal adenocarcinoma (NADAC) in early stage are not well established given its low incidence. This study aimed to elucidate clinicopathological features of early NADAC, including risk for lymph nodal metastasis (LNM). In total, 166 patients with early NADAC underwent initial treatment at our institution between 2006 and 2019, of whom 153 had intramucosal (M-) and 13 had submucosal (SM-) NADAC. These endoscopic and pathological features were retrospectively analyzed. Risk factors for LNM were evaluated in 46 early NADAC patients who underwent surgery with lymph node dissection. Compared with M-NADAC, SM-NADAC was significantly more frequently located at the proximal side of the papilla, with mixed elevated and depressed macroscopic type, histologically poorly differentiated tumor and lymphovascular invasion (LVI) (85% vs. 47%, P = 0.009; 54% vs. 5%, P
Published: 2020

28. Histopathologic Analysis of Signet-ring Cell Carcinoma In Situ in Patients With Hereditary Diffuse Gastric Cancer

Author: Kengo Takeuchi, Yuta Tsugeno, Noriko Yamamoto, Masanobu Kitagawa, Junko Fujisaki, Souya Nunobe, Kaoru Nakano, Takeshi Nakajima, Manabu Takamatsu, Hiroshi Kawachi, and Ken Namikawa
Subjects: Adult, Male, 0301 basic medicine, Pathology, medicine.medical_specialty, Heredity, DNA Mutational Analysis, Lobular Breast Carcinoma, Pathology and Forensic Medicine, 03 medical and health sciences, 0302 clinical medicine, Germline mutation, Antigens, CD, Gastrectomy, Neoplastic Syndromes, Hereditary, Stomach Neoplasms, Signet ring cell carcinoma, Biomarkers, Tumor, medicine, Carcinoma, Humans, Genetic Predisposition to Disease, Germ-Line Mutation, Retrospective Studies, business.industry, Cancer, Middle Aged, Cadherins, medicine.disease, Immunohistochemistry, Foveolar cell, Phenotype, 030104 developmental biology, 030220 oncology & carcinogenesis, Pagetoid, Female, Surgery, Anatomy, Hereditary diffuse gastric cancer, business, Carcinoma, Signet Ring Cell
Abstract: Hereditary diffuse gastric cancer (HDGC) is a rare autosomal dominant syndrome associated with an increased risk of developing Lauren's diffuse-type gastric carcinoma and lobular breast carcinoma. Although signet-ring cell carcinoma (SRCC) in situ (SRCC-pTis) has been reported as a characteristic lesion in HDGC cases with CDH1 germline mutations (CDH1 pathogenic variant), and a precursor of conventional intramucosal SRCC (SRCC-pT1a), its histopathologic features and specificity have not been sufficiently clarified. Here, we examined gastrectomy samples from 6 Japanese HDGC patients with CDH1 germline mutation, belonging to 4 families, and analyzed SRCC lesions histologically and immunohistochemically. Of the 274 foci found in the 6 samples, SRCC-pT1a accounted for 225 lesions (range: 8 to 107, mean 45.7 lesions per patient), while 46 foci were of SRCC-pTis (range: 1 to 15, mean 7.67 foci per patient). All SRCC-pTis foci were observed in the fundic gland area and on the superficial side of the mucosa. Histologically, tumor cells of SRCC-pTis were found between normal foveolar epithelial cells and the basement membrane, following a typical pagetoid spread pattern. Immunohistochemically, E-cadherin expression was lost in SRCC-pTis (27/28, 96.4%) more frequently than in SRCC-pT1a (95/197, 48.2%; P
Published: 2020

29. Resection of recurrent hepatocellular carcinoma with thrombi in the inferior vena cava, right atrium, and phrenic vein: a report of three cases

Author: Takahiro Gunji, Koichi Tomita, Toru Sano, Motohide Shimazu, Naokazu Chiba, Yosuke Ozawa, Yuta Abe, Shigeyuki Kawachi, and Kiminori Takano
Subjects: Adult, Male, medicine.medical_specialty, Carcinoma, Hepatocellular, Hepatocellular carcinoma, lcsh:Surgery, Case Report, Vena Cava, Inferior, Phrenic vein, Inferior vena cava, Sudden death, lcsh:RC254-282, medicine, Hepatectomy, Humans, Heart Atria, cardiovascular diseases, Phrenic Vein, Aged, Thrombectomy, Right atrium, Cardiopulmonary Bypass, business.industry, Liver Neoplasms, Thrombosis, lcsh:RD1-811, Middle Aged, medicine.disease, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Recurrent Hepatocellular Carcinoma, Pulmonary embolism, Surgery, Tumor thrombus, Treatment Outcome, Oncology, medicine.vein, Heart failure, Circulatory system, cardiovascular system, Female, Neoplasm Recurrence, Local, business
Abstract: Background Prognosis for patients with advanced hepatocellular carcinoma with a tumor thrombus in the inferior vena cava or right atrium is extremely poor due to cancer progression, pulmonary embolism, and congestion of the circulatory system caused by right heart failure. Surgical resection of the tumor thrombi may potentially yield better results than non-surgical treatments through prevention of sudden death. However, the benefits of surgical resection in patients with hepatocellular carcinoma and a tumor thrombus extending to the inferior vena cava, right atrium, and potentially in the phrenic vein are unclear. Here, we report three such cases. Case presentation Of the total 136 patients who underwent hepatectomies for hepatocellular carcinoma in our institution, three patients with prior hepatectomies and recurrent hepatocellular carcinoma had tumor thrombi in the inferior vena cava, right atrium, and phrenic vein. Surgical resections were performed, as there was a possibility of sudden death, despite the risk of leaving residual tumor. For all patients, we performed resection of the tumor thrombi in the inferior vena cava and right atrium and combined diaphragm resection. Surgical resection was performed using the total hepatic vascular exclusion technique in all cases. Additional passive veno-venous bypass was also performed in two cases, in which complete tumor resections could not be achieved. The microscopic surgical margins of the combined resected diaphragms were positive in all cases. Progression-free survival was 20.2, 3.8, and 9.5 months for case 1, 2, and 3, respectively. The respective overall postoperative survival was 98.0, 38.9, and 30.9 months. The patients died due to liver cirrhosis, acute heart failure, and hepatocellular carcinoma, respectively. Sudden death did not occur for any of the patients. Conclusion Surgical resections may extend prognosis for patients with recurrent hepatocellular carcinoma with tumor thrombi in the inferior vena cava, right atrium, and phrenic vein, although the indications should be considered carefully.
Published: 2020

30. Endoscopic three-categorical diagnosis of Helicobacter pylori infection using linked color imaging and deep learning: a single-center prospective study (with video)

Author: Hiroshi Kawahira, Hiroshi Kawachi, Hirotaka Nakashima, and Nobuhiro Sakaki
Subjects: Male, Cancer Research, medicine.medical_specialty, Color, Single Center, Sensitivity and Specificity, Helicobacter Infections, 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Predictive Value of Tests, Surgical oncology, Internal medicine, medicine, Humans, Diagnosis, Computer-Assisted, Endoscopy, Digestive System, Prospective Studies, Medical diagnosis, Prospective cohort study, Aged, Helicobacter pylori, biology, business.industry, Incidence (epidemiology), Gastroenterology, Cancer, Intestinal metaplasia, General Medicine, Middle Aged, Image Enhancement, biology.organism_classification, medicine.disease, Oncology, Gastric Mucosa, Area Under Curve, 030220 oncology & carcinogenesis, Feasibility Studies, Female, 030211 gastroenterology & hepatology, Atrophy, business
Abstract: Helicobacter pylori (H. pylori) eradication is required to reduce incidence related to gastric cancer. Recently, it was found that even after the successful eradication of H. pylori, an increased, i.e., moderate, risk of gastric cancer persists in patients with advanced mucosal atrophy and/or intestinal metaplasia. This study aimed to develop a computer-aided diagnosis (CAD) system to classify the status of H. pylori infection of patients into three categories: uninfected (with no history of H. pylori infection), currently infected, and post-eradication. The CAD system was based on linked color imaging (LCI) combined with deep learning (DL). First, a validation dataset was formed for the CAD systems by recording endoscopic movies of 120 subjects. Next, a training dataset of 395 subjects was prepared to enable DL. All endoscopic examinations were recorded using both LCI and white-light imaging (WLI). These endoscopic data were used to develop two different CAD systems, one for LCI (LCI-CAD) and one for WLI (WLI-CAD) images. The diagnostic accuracy of the LCI-CAD system was 84.2% for uninfected, 82.5% for currently infected, and 79.2% for post-eradication status. Comparisons revealed superior accuracy of diagnoses based on LCI-CAD data relative based on WLI-CAD for uninfected, currently infected, and post-eradication cases. Furthermore, the LCI-CAD system demonstrated comparable diagnostic accuracy to that of experienced endoscopists with the validation data set of LCI. The results of this study suggest the feasibility of an innovative gastric cancer screening program to determine cancer risk in individual subjects based on LCI-CAD.
Published: 2020

31. EZH2 and MMSET Were Identified as Potentially Useful Therapeutic Targets in Metaplastic Breast Carcinoma

Author: Yoshiyasu Nakamura, Kaori Kohagura, Yasushi Rino, Munetaka Masuda, Tatsuya Yoshida, Kae Kawachi, Soji Toda, Hirotaka Nakayama, Nobuyasu Suganuma, Toshinari Yamashita, Takashi Yamanaka, Yuka Matsubara, and Yohei Miyagi
Subjects: Adult, Cancer Research, Receptor, ErbB-2, medicine.medical_treatment, Breast Neoplasms, Malignancy, Disease-Free Survival, Targeted therapy, Biomarkers, Tumor, medicine, Humans, Enhancer of Zeste Homolog 2 Protein, skin and connective tissue diseases, Multiple myeloma, Aged, Aged, 80 and over, Metaplasia, business.industry, EZH2, Cancer, Histone-Lysine N-Methyltransferase, General Medicine, Methylation, Middle Aged, Metaplastic Breast Carcinoma, Ductal carcinoma, Prognosis, medicine.disease, Repressor Proteins, Receptors, Estrogen, Oncology, Cancer research, Female, Neoplasm Recurrence, Local, Receptors, Progesterone, business
Abstract: Background/aim Metaplastic breast carcinoma (MBC) is a rare malignancy, which is often triple-negative for the hormone receptors and human epidermal growth factor receptor 2, and thus, does not benefit from targeted therapy. In this study, we examined the expression of methylation and demethylation enzymes by immunostaining MBC and the adjacent normal tissues or triple-negative ductal carcinoma (TNDC), and identified alterations that may be used as therapeutic targets. Materials and methods We retrospectively studied surgical specimens from 15 patients who underwent surgery for MBC at Kanagawa Cancer Center between 2005 and 2016, and similarly from 14 patients with TNDC. The frequencies of high methylation/demethylation enzyme expression were compared among them. Results The frequencies of high enhancer of zeste homolog 2 (EZH2) and multiple myeloma SET domain (MMSET) expression were significantly higher in both MBC and TNDC than in normal tissue. Conclusion EZH2 and MMSET may be useful therapeutic targets in MBC.
Published: 2020

32. Occupational Differences in C-Reactive Protein Among Working-Age Adults in South Korea

Author: Masayoshi Zaitsu, Soong-Nang Jang, Yongjoo Kim, Sunmin Lee, Kanami Tsuno, Xiaoyu Li, and Ichiro Kawachi
Subjects: Adult, Male, National Health and Nutrition Examination Survey, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Occupational Exposure, Republic of Korea, Odds Ratio, Humans, Medicine, Occupations, Working age, Aged, biology, business.industry, C-reactive protein, Public Health, Environmental and Occupational Health, Middle Aged, Nutrition Surveys, 030210 environmental & occupational health, C-Reactive Protein, Cross-Sectional Studies, biology.protein, Female, business, Demography
Abstract: Objective To examine the association between occupational class and high-sensitivity C-reactive protein (hsCRP) in Korean workers. Methods We used a nationally representative sample of Koreans (n = 2591) aged 19 to 65 years from the 2015 Korea National Health and Nutrition Examination Survey. The concentration of hsCRP (mg/L) was assessed by a high sensitivity immunoturbidimetric assay. Current occupation was categorized as: white-collar (managers/professionals), pink-collar (clerks/service/sales), blue-collar (craft/equipment/machine-assembling, agricultural/forestry/fishery, and elementary-level labor), or unemployed. Cross-sectional linear regression models adjusted for sociodemographic/work-related/health conditions and behaviors. Results Compared with blue-collar workers, white-collar workers showed significantly higher levels of hsCRP (β = 0.16, 95% CI: 0.02, 0.30) after adjusting for all covariates, whereby the pattern was more pronounced among professionals. However, the association was not significant for unemployed and pink-collar workers. Conclusions Findings suggest that Korean white-collar workers, particularly professionals, have elevated levels of inflammation.
Published: 2020

33. How much do preventive health behaviors explain education- and income-related inequalities in health? Results of Oaxaca–Blinder decomposition analysis

Author: Ichiro Kawachi and Shiho Kino
Subjects: Adult, Male, Health Knowledge, Attitudes, Practice, Inequality, Epidemiology, media_common.quotation_subject, Health Behavior, Disease, Overweight, 01 natural sciences, 03 medical and health sciences, Sex Factors, 0302 clinical medicine, Environmental health, Diabetes mellitus, Preventive Health Services, medicine, Humans, 030212 general & internal medicine, 0101 mathematics, Socioeconomic status, media_common, business.industry, 010102 general mathematics, Health Status Disparities, Middle Aged, Nutrition Surveys, medicine.disease, Moderation, Disadvantaged, Diabetes Mellitus, Type 2, Social Class, Socioeconomic Factors, Cardiovascular Diseases, Chronic Disease, Hypertension, Income, Educational Status, Household income, Female, medicine.symptom, business
Abstract: Purpose Five health practices are recognized to be essential for the prevention of chronic disease, viz. avoiding smoking, drinking in moderation, healthy diet, regular physical activity, and adequate sleep. However, how much of these behaviors contribute to socioeconomic disparities in health continues to be debated–some claim “hardly any,” while others say “nearly all.” Methods The data were from the NHANES 2015–16. Selected outcomes were self-rated health, hypertension, cardiovascular disease, and diabetes. Socioeconomic status was measured by education and household income. We implemented Oaxaca–Blinder decomposition to examine the extent to which socioeconomic inequalities in health could be explained by socioeconomic differences in adherence to health practices. Results 55%–90% of education-based inequalities in hypertension (89%), cardiovascular diseases (56%), and diabetes (75%) could be explained by health practices–especially current smoking and overweight. By contrast, most income-related inequalities in health outcomes could not be explained by health practices. Conclusions How much heath practices can account for socioeconomic inequalities in health depends on the indicator of socioeconomic status. Educational disparities in health is explained by the higher prevalence of smoking and overweight in educationally disadvantaged groups. However, income-related gaps in health may require further consideration besides lifestyle modification.
Published: 2020

34. Association of long working hours with accidents and suicide mortality in Korea

Author: Hyoung Ryoul Kim, Inah Kim, Ichiro Kawachi, and Hye-Eun Lee
Subjects: Adult, Male, KNHANES, National Health and Nutrition Examination Survey, injury, working time, korea, Poison control, Workload, Suicide prevention, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, karoshi, Republic of Korea, Injury prevention, Humans, Medicine, occupational, Mortality, Occupations, work hour, Depression (differential diagnoses), working hour, overwork, business.industry, long working hour, Hazard ratio, Public Health, Environmental and Occupational Health, work time, accident, Middle Aged, Nutrition Surveys, 030210 environmental & occupational health, Working time, Confidence interval, Korean National Health and Nutrition Examination Survey, Suicide, worktime, Accidents, depression, Original Article, Female, Public aspects of medicine, RA1-1270, business, mental health, Demography
Abstract: OBJECTIVES: The deleterious health effects of long working hours have been previously investigated, but there is a dearth of studies on mortality resulting from accidents or suicide. This prospective study aims to examine the association between working hours and external-cause mortality (accidents and suicide) in Korea, a country with some of the longest working hours in the world. METHODS: Employed workers (N=14 484) participating in the Korean National Health and Nutrition Examination Survey (KNHANES) were matched with the Korea National Statistical Office’s death registry from 2007–2016 (person-years = 81 927.5 years, mean weighted follow-up duration = 5.7 years). Hazard ratios (HR) for accident (N=25) and suicide (N=27) mortality were estimated according to weekly working hours, with 35–44 hours per week as the reference. RESULTS: Individuals working 45–52 hours per week had higher risk of total external cause mortality compared to those working 35–44 hours per week [HR 2.79, 95% confidence interval (CI) 1.22–6.40], adjusting for sex, age, household income, education, occupation, and depressive symptoms. Among the external causes of death, suicide risk was higher (HR 3.89, 95% CI 1.06–14.29) for working 45–52 hours per week compared to working 35–44 hours per week. Working >52 hours per week also showed increased risk for suicide (HR 3.74, 95% CI 1.03–13.64). No statistically significant associations were found for accident mortality. CONCLUSIONS: Long working hours are associated with higher suicide mortality rates in Korea.
Published: 2020

35. Self-Reported Hearing/Visual Loss and Mortality in Middle-Aged and Older Adults: Findings From the Komo-Ise Cohort, Japan

Author: Atsushi Miyawaki, Ichiro Kawachi, and Yasuki Kobayashi
Subjects: Male, Epidemiology, Hearing loss, Vision Disorders, 030209 endocrinology & metabolism, survival analysis, 03 medical and health sciences, sensory loss, 0302 clinical medicine, Japan, Risk Factors, Humans, Medicine, 030212 general & internal medicine, mediation analysis, Hearing Loss, Socioeconomic status, Depression (differential diagnoses), Survival analysis, Aged, lcsh:R5-920, business.industry, Proportional hazards model, Hazard ratio, General Medicine, Middle Aged, mortality, Cohort, Original Article, Female, Public Health, Self Report, Death certificate, medicine.symptom, lcsh:Medicine (General), business, Follow-Up Studies, Demography
Abstract: Background The association of sensory loss with mortality remains unclear. We aimed to explore the associations of hearing loss (HL), visual loss (VL), and dual sensory loss (DSL) with survival. Methods Data came from the Komo-Ise study cohort in Gunma Prefecture, Japan, where the community-dwelling residents aged 40-69 years were followed up from 1993 to 2010. We analyzed 9,522 individuals who answered the follow-up questionnaires in 2000 (average age 64 [range, 47 to 77] years in 2000). The primary exposures were "HL only," "VL only," or "DSL", with "no HL/VL" as the reference. These sensory loss statuses were assessed by asking the difficulty in hearing conversation or reading newspaper even with aids in the follow-up questionnaires in 2000. All-cause and cause-specific mortality were ascertained from linkage to death certificate data. Cox proportional hazards models adjusting for confounders, including demographic factors, socioeconomic status, and health status, were used. Potential mediators (depression, walking disability, and social participation) were additionally adjusted for. Results There were 1,105 deaths over the 10-year follow-up. After adjustment for the potential confounders, HL and DSL were associated with increased all-cause mortality (hazard ratios of 1.74 [95% CI, 1.18-2.57] and 1.63 [95% CI, 1.09-2.42], respectively). Potential mediators explained a modest portion of the association. As for cause-specific mortality, HL was associated with increased cancer mortality, while VL and DSL were associated with increased cardiovascular disease mortality. Conclusions Self-reported HL and DSL may be risk factors of mortality among middle-aged or elderly Japanese populations.
Published: 2020

36. Area-level HIV risk and socioeconomic factors associated with willingness to use PrEP among Black people in the U.S. South

Author: Kenneth H. Mayer, Yusuf Ransome, Laura M. Bogart, Anna Kaplan, Bisola O. Ojikutu, and Ichiro Kawachi
Subjects: Adult, Male, Percentile, United States (U.S.), Anti-HIV Agents, Epidemiology, Population, Human immunodeficiency virus (HIV), Black People, HIV Infections, medicine.disease_cause, Hiv risk, Risk Assessment, Pre-exposure prophylaxis (PrEP), 01 natural sciences, Zip code, Article, 03 medical and health sciences, 0302 clinical medicine, Residence Characteristics, Risk Factors, Humans, Medicine, 030212 general & internal medicine, 0101 mathematics, Black/African Americans, 10. No inequality, education, Socioeconomic status, education.field_of_study, business.industry, 010102 general mathematics, 1. No poverty, Hiv incidence, HIV, Middle Aged, United States, 3. Good health, Black or African American, South, Willingness to use, Socioeconomic Factors, Female, Pre-Exposure Prophylaxis, business, Demography
Abstract: Purpose In the United States (U.S.), southern states have the highest HIV incidence. Uptake of pre-exposure prophylaxis (PrEP) has been slow among Black people, particularly in the South. We know little about how area-level HIV risk influences one's willingness to use PrEP. Methods 169 Black participants across 142 ZIP codes in the South completed the 2016 National Survey on HIV in the Black Community. We performed log-binomial regression to estimate the prevalence risk associated with residing in the upper 25th percentile of increases in new HIV diagnosis (2014–2015) within ZIP code and an individual's willingness to use PrEP, adjusting for individual and area-level covariates. Results Participants were 68% female, mean age of 36 years, and 24% willing to use PrEP. Among the ZIP codes, 23% were within Atlanta, GA. The median increase in new HIV diagnoses was 25 per 100,000 population from 2014 to 2015 (IQR, 14–49). Participants living in ZIP codes within the upper 25th (compared-to-lower 75th) percentile of new HIV diagnoses were more willing to use PrEP (adjusted prevalence ratio (aPR) = 2.02, 95% CI = 1.06–3.86, P = .03). Area-level socioeconomic factors attenuated that association (aPR = 1.63, 95% CI = 0.78–3.39, P = .19). Conclusions Area-level factors may influence PrEP uptake among Black people in the South.
Published: 2020

37. Changes in emergency department dental visits after Medicaid expansion

Author: Benjamin D. Sommers, Ichiro Kawachi, and Hawazin W. Elani
Subjects: Adult, Male, Insurance, Dental, medicine.medical_specialty, Insurance Coverage, Young Adult, 03 medical and health sciences, 0302 clinical medicine, stomatognathic system, Health insurance, Humans, Medicine, 030212 general & internal medicine, health care economics and organizations, Effects of Medicaid Expansion, Retrospective Studies, Medicaid, business.industry, Patient Protection and Affordable Care Act, 030503 health policy & services, Health Policy, Emergency department, Middle Aged, Dental care, United States, stomatognathic diseases, Tooth Diseases, Family medicine, Female, Medicaid coverage, Emergency Service, Hospital, 0305 other medical science, business
Abstract: Objectives To estimate the effect of Medicaid expansion under the Affordable Care Act (ACA) on the frequency and payment source for Emergency Department (ED) visits for dental care. Study design Retrospective, quasi-experimental study. Data sources/study setting We used the State Emergency Department Database to compare changes in ED visit rates and payment source for dental conditions among patients from 33 states. These states represent four distinct policy environments, based on whether they expanded Medicaid and whether their Medicaid programs provide dental benefits. We first assessed the number of ED dental visits before (2012) and after (2014) the ACA. Then, we used differences-in-differences regression to estimate changes in insurance for dental visits by nonelderly adults. Principal findings Our sample contained 375 944 dental ED visits. In states that expanded Medicaid and offered dental coverage, dental ED visits decreased by 14.1 percent (from 19 443 to 16 709, for a net difference of 2734). By contrast, in the remaining three state groups, dental ED visits rose. Meanwhile, the expansion significantly increased Medicaid coverage and decreased the rate of self-pay for ED dental visits. Conclusions Medicaid expansion, combined with adult dental coverage in Medicaid, was associated with a reduction in ED utilization for dental visits.
Published: 2020

38. Efficacy of Peak Hounsfield Units of the Visceral Fat Area in Predicting Postoperative Complications after Pancreaticoduodenectomy

Author: Shigeyuki Kawachi, Koichi Tomita, Naokazu Chiba, Itsuki Koganezawa, Masashi Nakagawa, Toshimichi Kobayashi, Hiroshi Hirano, Kei Yokozuka, Toru Sano, Rina Tsutsui, and Kosuke Hikita
Subjects: Adult, Male, medicine.medical_specialty, genetic structures, medicine.medical_treatment, Subcutaneous Fat, Urology, Connective tissue, Intra-Abdominal Fat, Severity of Illness Index, Pancreaticoduodenectomy, Pancreatic Fistula, chemistry.chemical_compound, Postoperative Complications, Predictive Value of Tests, Adipocyte, Hounsfield scale, Abdomen, Adipocytes, medicine, Humans, Aged, Retrospective Studies, Aged, 80 and over, Univariate analysis, business.industry, Gastroenterology, Postoperative complication, Perioperative, Middle Aged, medicine.disease, medicine.anatomical_structure, chemistry, Connective Tissue, Pancreatic fistula, Female, Surgery, Tomography, X-Ray Computed, business
Abstract: Background: Morbidity following pancreaticoduodenectomy (PD) has been reported to remain high. This study sought to measure the peak Hounsfield units (HUs) of visceral attenuation in patients undergoing PD and to assess the quality of adipocytes by comparing these measurements with perioperative factors. Methods: Patients undergoing PD were retrospectively identified (n = 108). Abdominal perimeter, subcutaneous fat area (SFA), visceral fat area (VFA), and peak HU of the VFA were measured. Logistic regression analysis was used to identify independent predictors of postoperative pancreatic fistula (POPF) or complications. Histopathological examination was performed for qualitative diagnosis of the stromal tissue. Results: The overall rate of POPF was 16%, and severe complications occurred in 23% of the cases. A criterion for peak HU of the VFA only independently predicted POPF (p = 0.007) in the multivariate analysis. A criterion for peak HU of the VFA (p = 0.015) was associated with an increased rate of postoperative severe complications in the univariate analysis. The peak HU of the VFA was significantly correlated with abdominal perimeter (p < 0.001) and VFA (p < 0.001). The peak HU of the VFA was significantly correlated with adipocyte diameter (p < 0.001) and the ratio of stromal connective tissue area around the adipocytes (p < 0.001). Conclusion: The peak HU of the VFA was an independent factor contributing to severe complications, including POPF after PD. It reflects the amount of stromal connective tissue around the adipocytes.
Published: 2020

39. Occupational disparities in bladder cancer survival: A population‐based cancer registry study in Japan

Author: Sangchul Lee, Masayoshi Zaitsu, Hye-Eun Lee, Yasuki Kobayashi, Ichiro Kawachi, and Takumi Takeuchi
Subjects: Male, 0301 basic medicine, Cancer Research, Kaplan-Meier Estimate, 0302 clinical medicine, Japan, population‐based, Risk Factors, occupation, Registries, Original Research, education.field_of_study, Smoking, Hazard ratio, Middle Aged, Prognosis, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Survival Rate, Oncology, 030220 oncology & carcinogenesis, bladder cancer, Female, medicine.medical_specialty, Prognostic variable, Population, Risk Assessment, survival, lcsh:RC254-282, socioeconomic status, 03 medical and health sciences, Occupational Exposure, Internal medicine, medicine, Humans, Radiology, Nuclear Medicine and imaging, Occupations, education, Socioeconomic status, Aged, Proportional Hazards Models, Bladder cancer, business.industry, Proportional hazards model, Clinical Cancer Research, Health Status Disparities, medicine.disease, Confidence interval, Cancer registry, 030104 developmental biology, Urinary Bladder Neoplasms, business, Follow-Up Studies
Abstract: Background Little is known about occupational disparities in bladder cancer survival. Methods Using data from a population‐based cancer registry (1970‐2016), we identified 3593 patients with incident bladder cancer diagnosed during 1970‐2011 who completed occupational information. The patients were followed for 5 years (median follow‐up time 5.0 years). Their longest‐held occupations at incident bladder cancer diagnosis were classified according to a national standardized classification. Hazard ratios (HRs) and 95% confidence intervals (CIs) for overall death were estimated by Cox proportional hazard model, adjusted for age, sex, and year of diagnosis. Clerical workers served as the reference group. Results Overall prognosis was fair in this population (5‐year overall survival, 61.9%). Compared with patients in clerical jobs, survival was poorer for those in professional and managerial jobs (mortality HR 1.36; 95% CI 1.09‐1.69), sales and service jobs (HR 1.25, 95% CI 1.01‐1.56), construction jobs (HR 1.83, 95% CI 1.40‐2.38), and manufacturing jobs (HR 1.32, 95% CI 1.05‐1.66), as well as those not actively employed (HR 1.27, 95% CI 1.02‐1.58). A similar pattern was observed in the subgroup analyses restricted to male patients as well as additional analyses adjusted for potential prognostic variables (eg, stage) with multiple imputation. Conclusion We documented occupational disparities in bladder cancer survival in Japan. However, the pattern of disparity did not favor highest occupational groups., We documented occupational disparities in bladder cancer survival in Japan. However, the pattern of disparity did not favor highest occupational groups.
Published: 2019

40. Association between metastatic sites and first-line pembrolizumab treatment outcome for advanced non–small cell lung cancer with high PD-L1 expression: a retrospective multicenter cohort study

Author: Akihiro Tamiya, Tomonori Hirashima, Nobuhiko Sawa, Ryota Kominami, Toshihide Yokoyama, Hidekazu Suzuki, Daichi Fujimoto, Junji Uchida, Masaki Kanazu, Satoshi Hara, Hirotaka Matsumoto, Kazutaka Hosoya, Mitsunori Morita, Hayato Kawachi, Yasushi Fukuda, Motohiro Tamiya, Takeshi Makio, Toru Kumagai, Katsuya Hirano, and Seigo Ishii
Subjects: Adult, Male, 0301 basic medicine, Oncology, medicine.medical_specialty, Lung Neoplasms, Pembrolizumab, Adenocarcinoma, Antibodies, Monoclonal, Humanized, B7-H1 Antigen, Metastasis, 03 medical and health sciences, Antineoplastic Agents, Immunological, 0302 clinical medicine, Carcinoma, Non-Small-Cell Lung, Internal medicine, Biomarkers, Tumor, Humans, Medicine, Malignant pleural effusion, Pharmacology (medical), Lung cancer, Response Evaluation Criteria in Solid Tumors, Aged, Retrospective Studies, Aged, 80 and over, Pharmacology, business.industry, Hazard ratio, Bone metastasis, Retrospective cohort study, Middle Aged, Prognosis, medicine.disease, Survival Rate, 030104 developmental biology, 030220 oncology & carcinogenesis, Carcinoma, Squamous Cell, Female, business, Follow-Up Studies
Abstract: Associations between treatment outcomes of immune checkpoint inhibitors and metastatic sites in advanced non-small cell lung cancer (NSCLC) are not well known. Therefore, this multicenter retrospective study aimed to investigate the predictive factors of metastatic sites after first-line pembrolizumab treatment for advanced NSCLC with a PD-L1 tumor proportion score (TPS) ≥50%. We retrospectively analyzed advanced NSCLC patients with a PD-L1 TPS ≥50% who underwent first-line pembrolizumab therapy at 11 institutions between February 2017 and April 2018. Clinical data collected from medical records included metastatic sites at the time of pembrolizumab treatment. Treatment outcomes of pembrolizumab were assessed according to the Response Evaluation Criteria in Solid Tumors, version 1.1. In total, 213 patients were included in the study. The median age was 71 years (range 39-91 years). Of the 213 patients, 176 (83%) were men and 172 (81%) had an Eastern Cooperative Oncology Group performance status (ECOG-PS) score of 0-1. The most common metastases were thoracic lymph node metastasis (77%), intrapulmonary metastasis (31%), bone metastasis (28%), and malignant pleural effusion (26%). On multivariate analysis, a poor ECOG-PS score (hazard ratio: 1.95, 95.0% confidence interval: 1.25-3.04; P = 0.003) and malignant pleural effusion (hazard ratio: 1.52, 95.0% confidence interval: 1.01-2.29; P = 0.043) were independent predictors of shorter progression-free survival in patients treated with pembrolizumab. For NSCLC patients with malignant pleural effusion, pembrolizumab monotherapy is not a suitable first-line treatment because of its insufficient effectiveness, even though their PD-L1 TPS was high.
Published: 2019

41. Perioperative Atrial Fibrillation in Noncardiac Surgeries for Malignancies and One-Year Recurrence

Author: Tomoko Yorozu, Kiyoshi Moriyama, Masaharu Kogure, Haruhiko Kondo, Yusuke Kabeya, Kenichi Matsushita, Nobutsugu Abe, Ryota Tanaka, Yorihisa Imanishi, Riken Kawachi, Masanori Sugiyama, Hideaki Yoshino, Keisei Tachibana, Yutaka Suzuki, Satoshi Higuchi, Nobuaki Arai, Koichiro Saito, and Hidefumi Takei
Subjects: Adult, Male, medicine.medical_specialty, Time Factors, 030204 cardiovascular system & hematology, Asymptomatic, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Japan, Recurrence, Neoplasms, Internal medicine, Atrial Fibrillation, medicine, Humans, Prospective Studies, 030212 general & internal medicine, Perioperative Period, Prospective cohort study, Aged, Aged, 80 and over, Proportional hazards model, business.industry, Incidence, Incidence (epidemiology), Hazard ratio, Atrial fibrillation, Perioperative, Middle Aged, medicine.disease, Confidence interval, Survival Rate, Surgical Procedures, Operative, Cardiology, Female, medicine.symptom, Cardiology and Cardiovascular Medicine, business, Follow-Up Studies
Abstract: Background Perioperative atrial fibrillation (POAF) in noncardiac surgeries is common. However, it is unclear whether such atrial fibrillation (AF) recurs in the long term. Methods This study was a prospective, single-center, observational study that included patients who underwent noncardiac surgeries for malignancies. Patients were followed up for 1 year to evaluate the incidence of AF, ischemic stroke, and mortality. An event-triggered recorder was used in patients with POAF. The incidences were compared according to the presence of POAF. Results Of 752 consecutive patients, 77 (10.2%) developed POAF and wore an event recorder for 19 (12-30) days. AF and ischemic stroke at 1 year were observed in 24 patients (31.1%) and 2 patients (2.6%) with POAF and 4 patients (0.6%) and 3 patients (0.4%) without POAF, respectively. Of the 24 patients with POAF and AF recurrence, 22 (92%) were asymptomatic. Anticoagulation was prescribed in 67 patients (87%) with POAF. Multivariate Cox regression analysis demonstrated that a higher AF recurrence rate in patients with POAF was associated with hypertension (hazard ratio, 2.79; 95% confidence interval, 1.06-7.38) and serum creatinine level (hazard ratio for 20 μmol/L increase, 2.32; 95% confidence interval, 1.16-4.62). Conclusions AF recurs in approximately 30% of patients with POAF with malignancy in the subsequent year; most recurrences are asymptomatic.
Published: 2019

42. Disparities in gastric cancer screening among people with disabilities: a national registry-linkage study in South Korea

Author: Youngjee Kim, In Young Cho, So Young Kim, Dong Wook Shin, Jong Hyock Park, Jong Heon Park, Kyungdo Han, Hyoung Woo Kim, Kui Son Choi, Ichiro Kawachi, and Jin Hyung Jung
Subjects: Adult, Male, Cancer Research, medicine.medical_specialty, 03 medical and health sciences, 0302 clinical medicine, Stomach Neoplasms, Internal medicine, Gastroscopy, Republic of Korea, Cancer screening, Humans, Medicine, Disabled Persons, Registries, Healthcare Disparities, Early Detection of Cancer, Aged, Aged, 80 and over, business.industry, Gastroenterology, General Medicine, Odds ratio, Middle Aged, Prognosis, medicine.disease, Confidence interval, Oncology, 030220 oncology & carcinogenesis, Gastric cancer screening, Autism, Female, 030211 gastroenterology & hepatology, National registry, Patient Participation, business, Follow-Up Studies, Abdominal surgery
Abstract: Using the national disability registration linked to the cancer screening database in Korea, we examined (1) trends in the gastric cancer screening rate among people with disabilities over time, and (2) whether gastric cancer screening participation and modalities differed according to presence, severity, and type of disability. We examined gastric cancer screening participation rates among individuals with registered disability, from 2006 to 2015. The age- and sex-adjusted rate for gastric cancer screening in people with disabilities increased from 25.9% in 2006 to 51.9% in 2015 (change: + 26.0%). During the same period, screening rates among people without disability improved from 24.7 to 56.5% (change: + 31.8%). Disability was associated with a screening rate [adjusted odds ratio (aOR) 0.89, 95% confidence interval (CI), 0.88–0.89]. Screening rates were markedly lower among people with severe disabilities (aOR 0.58, 95% CI 0.57–0.58) and people with autism (aOR 0.36, 95% CI 0.25–0.52), renal failure (aOR 0.39, 95% CI 0.38–0.39), brain injury (aOR 0.41, 95% CI 0.40–0.41), ostomy problems (aOR 0.53, 95% CI 0.51–0.55), intellectual disabilities (aOR 0.54, 95% CI 0.53–0.54), or mental disorders (aOR 0.55, 95% CI 0.54–0.56). The use of gastroscopy as the initial screening modality in people with disabilities was lower than in people without a disability. In spite of the availability of national gastric cancer screening program, we found significant disparities in gastric cancer screening participation, especially among people with severe disabilities and those with renal failure or brain-related/mental disabilities.
Published: 2019

43. Azathioprine and Mycophenolate Mofetil Adherence Patterns and Predictors Among Medicaid Beneficiaries With Systemic Lupus Erythematosus

Author: S. V. Subramanian, Chang Xu, Daniel H. Solomon, Jamie E. Collins, Karen H. Costenbader, Zhi Zhang, Ichiro Kawachi, and Candace H. Feldman
Subjects: Adult, Male, medicine.medical_specialty, Lupus nephritis, Azathioprine, Article, Medication Adherence, Sex Factors, Rheumatology, Internal medicine, medicine, Humans, Lupus Erythematosus, Systemic, Longitudinal Studies, Polypharmacy, Lupus erythematosus, Medicaid, business.industry, Racial Groups, Odds ratio, Middle Aged, Mycophenolic Acid, Pharmacoepidemiology, medicine.disease, United States, Confidence interval, Logistic Models, Cohort, Female, business, Immunosuppressive Agents, medicine.drug
Abstract: Objective Azathioprine (AZA) and mycophenolate mofetil (MMF) are immunosuppressants frequently used in the treatment of moderate-to-severe systemic lupus erythematosus (SLE). We studied longitudinal patterns and predictors of adherence to AZA and MMF in a nationwide US SLE cohort. Methods In the Medicaid Analytic eXtract (2000-2010) database, we identified patients with SLE who initiated AZA or MMF (no use in the prior 6 months) with ≥12 months of continuous follow-up. We dichotomized adherence at 80%, with ≥24 of 30 days per month considered adherent. We used group-based trajectory models to estimate monthly adherence patterns and multivariable multinomial logistic regression to determine the association between demographic, SLE and utilization-related predictors, and the odds ratios (OR) of belonging to a nonadherent versus the adherent trajectory, separately for AZA and MMF. Results We identified 2,309 AZA initiators and 2,070 MMF initiators with SLE. Four-group trajectory models classified 17% of AZA and 21% of MMF initiators as adherent. AZA and MMF nonadherers followed similar trajectory patterns. African American race (OR 1.67 [95% confidence interval (95% CI) 1.20-2.31]) and Hispanic ethnicity (OR 1.58 [95% CI 1.06-2.35]) increased odds of AZA nonadherence; there were no significant associations between race/ethnicity and MMF nonadherence. Male sex and polypharmacy were associated with lower odds of nonadherence to both medications; lupus nephritis was associated with lower odds of nonadherence to MMF (OR 0.74 [95% CI 0.55-0.99]). Conclusion Adherence to AZA or MMF over the first year of use was rare. Race, sex, and lupus nephritis were modestly associated with adherence, but the magnitude, direction, and significance of predictors differed by medication, suggesting the complexity of predicting adherence behavior.
Published: 2019

44. Effects of covid-19 pandemic on life expectancy and premature mortality in 2020: time series analysis in 37 countries

Author: Dmitri A. Jdanov, Vladimir M. Shkolnikov, Sarah Lewington, Ichiro Kawachi, Ben Lacey, Kamlesh Khunti, Nazrul Islam, Martin White, Islam, Nazrul [0000-0003-3982-4325], and Apollo - University of Cambridge Repository
Subjects: Adult, Male, Adolescent, Databases, Factual, Population, Global Health, Young Adult, Life Expectancy, Pandemic, Global health, Medicine, Humans, Young adult, education, Child, Aged, Aged, 80 and over, education.field_of_study, business.industry, Mortality, Premature, Research, Developed Countries, Infant, Newborn, COVID-19, Infant, General Medicine, Middle Aged, Confidence interval, Years of potential life lost, Child, Preschool, Life expectancy, Female, business, Developed country, Demography
Abstract: Objective To estimate the changes in life expectancy and years of life lost in 2020 associated with the covid-19 pandemic. Design Time series analysis. Setting 37 upper-middle and high income countries or regions with reliable and complete mortality data. Participants Annual all cause mortality data from the Human Mortality Database for 2005-20, harmonised and disaggregated by age and sex. Main outcome measures Reduction in life expectancy was estimated as the difference between observed and expected life expectancy in 2020 using the Lee-Carter model. Excess years of life lost were estimated as the difference between the observed and expected years of life lost in 2020 using the World Health Organization standard life table. Results Reduction in life expectancy in men and women was observed in all the countries studied except New Zealand, Taiwan, and Norway, where there was a gain in life expectancy in 2020. No evidence was found of a change in life expectancy in Denmark, Iceland, and South Korea. The highest reduction in life expectancy was observed in Russia (men: −2.33, 95% confidence interval −2.50 to −2.17; women: −2.14, −2.25 to −2.03), the United States (men: −2.27, −2.39 to −2.15; women: −1.61, −1.70 to −1.51), Bulgaria (men: −1.96, −2.11 to −1.81; women: −1.37, −1.74 to −1.01), Lithuania (men: −1.83, −2.07 to −1.59; women: −1.21, −1.36 to −1.05), Chile (men: −1.64, −1.97 to −1.32; women: −0.88, −1.28 to −0.50), and Spain (men: −1.35, −1.53 to −1.18; women: −1.13, −1.37 to −0.90). Years of life lost in 2020 were higher than expected in all countries except Taiwan, New Zealand, Norway, Iceland, Denmark, and South Korea. In the remaining 31 countries, more than 222 million years of life were lost in 2020, which is 28.1 million (95% confidence interval 26.8m to 29.5m) years of life lost more than expected (17.3 million (16.8m to 17.8m) in men and 10.8 million (10.4m to 11.3m) in women). The highest excess years of life lost per 100 000 population were observed in Bulgaria (men: 7260, 95% confidence interval 6820 to 7710; women: 3730, 2740 to 4730), Russia (men: 7020, 6550 to 7480; women: 4760, 4530 to 4990), Lithuania (men: 5430, 4750 to 6070; women: 2640, 2310 to 2980), the US (men: 4350, 4170 to 4530; women: 2430, 2320 to 2550), Poland (men: 3830, 3540 to 4120; women: 1830, 1630 to 2040), and Hungary (men: 2770, 2490 to 3040; women: 1920, 1590 to 2240). The excess years of life lost were relatively low in people younger than 65 years, except in Russia, Bulgaria, Lithuania, and the US where the excess years of life lost was >2000 per 100 000. Conclusion More than 28 million excess years of life were lost in 2020 in 31 countries, with a higher rate in men than women. Excess years of life lost associated with the covid-19 pandemic in 2020 were more than five times higher than those associated with the seasonal influenza epidemic in 2015.
Published: 2021

45. Can social support buffer the association between loneliness and hypertension? a cross-sectional study in rural China

Author: Aki Yazawa, Yosuke Inoue, Taro Yamamoto, Chiho Watanabe, Raoping Tu, and Ichiro Kawachi
Subjects: Male, Rural Population, China, Multidisciplinary, Loneliness, Hypertension, Humans, Social Support, Female, Middle Aged, Aged
Abstract: Objectives Hypertension has reached epidemic levels in rural China, where loneliness has been a major problem among community dwellers as a consequence of rural-to-urban migration among younger generations. The objective of the study is to investigate the association between loneliness and hypertension, and whether social support can buffer the association (i.e., stress buffering theory), using cross-sectional data from 765 adults (mean age: 59.1 years) in rural Fujian, China. Methods Social support was measured as the reciprocal instrumental social support from/to neighbors and the reciprocal emotional support (i.e., the number of close friends that the respondent could turn to for help immediately when they are in trouble). A mixed-effect Poisson regression model with a robust variance estimator was used to investigate the association between loneliness, social support, and hypertension. Results Analysis revealed that those who were lonely had a higher prevalence ratio for hypertension (prevalence ratio = 1.12, 95% confidence interval 0.99–1.26) compared to those who reported not being lonely. There was an interaction between social support and loneliness in relation to hypertension. Specifically, contrary to the stress buffering theory, the positive association between loneliness and hypertension was more pronounced among those who reported higher social support compared to those who reported lower support (p for interaction Conclusion The results suggest that being lonely despite high levels of social support poses the greatest risk for hypertension. This study did not confirm a buffering effect of social support on the association between loneliness and hypertension.
Published: 2021

46. Real-world survey of pneumonitis and its impact on durvalumab consolidation therapy in patients with non-small cell lung cancer who received chemoradiotherapy after durvalumab approval (HOPE-005/CRIMSON)

Author: Hirotaka Matsumoto, Yoshihiko Taniguchi, Shunsuke Teraoka, Kenji Nagata, Asuka Okada, Daisuke Arai, Fujimoto Daichi, Go Saito, Eisaku Miyauchi, Toshihide Yokoyama, Hidekazu Suzuki, Takeshi Uenami, Yoshihiko Sakata, Takayuki Niitsu, Hayato Kawachi, Takashi Yokoi, Yuko Oya, Masaki Kokubo, and Shunichiro Iwasawa
Subjects: Pulmonary and Respiratory Medicine, Adult, Cancer Research, medicine.medical_specialty, Durvalumab, Lung Neoplasms, Internal medicine, Carcinoma, Non-Small-Cell Lung, Medicine, Humans, Lung cancer, Pneumonitis, Aged, Retrospective Studies, Aged, 80 and over, business.industry, Incidence (epidemiology), Medical record, Antibodies, Monoclonal, Odds ratio, Chemoradiotherapy, Pneumonia, Middle Aged, medicine.disease, Consolidation Chemotherapy, Radiation Pneumonitis, Oncology, Non small cell, Neoplasm Recurrence, Local, business
Abstract: The incidence of real-world pneumonitis and durvalumab rechallenge during chemoradiotherapy and durvalumab consolidation for non-small cell lung cancer is unknown.We retrospectively evaluated the medical records of 302 consecutive patients diagnosed with non-small cell lung cancer who started chemoradiotherapy between May 2018 and May 2019.Median age was 70 (range: 40-87) years. Volume of lung parenchyma that received 20 Gy (V20) exceeded 35% in 2% and mean lung dose exceeded 20 Gy in 1% of patients. Durvalumab consolidation was delivered to 225 patients (75%). Overall, 83% (n = 251), 34% (n = 103), 7% (n = 21), and 1% (n = 4) of the patients developed any grade of pneumonitis, symptomatic pneumonitis, ≥grade 3 pneumonitis, and fatal (grade 5) pneumonitis, respectively. Corticosteroids were administered to 25% of the patients to treat pneumonitis. Multivariate analysis identified the predictive factors for the development of symptomatic pneumonitis: V20 Gy or more ≥ 25% (odds ratio [OR]: 2.37, P = 0.008) and mean lung dose (MLD) ≥ 10 Gy (OR: 1.93, P 0.0047). Of the 52 patients who received corticosteroids for pneumonitis after durvalumab initiation, 21 were rechallenged with durvalumab. Overall, 81% of patients met the PACIFIC study's rechallenge criteria and did not experience a severe pneumonitis relapse.High V20 and MLD were independent risk factors of symptomatic pneumonitis. More than 80% of the patients who were rechallenged with durvalumab after pneumonitis met the PACIFIC study's rechallenge criteria. Consequently, severe relapse did not occur. Cooperation between radiation and medical oncologists is important for safe chemoradiotherapy and the safe completion of durvalumab consolidation therapy.
Published: 2021

47. Efficacy and safety of ramucirumab plus docetaxel in older patients with advanced non-small cell lung cancer: A multicenter retrospective cohort study

Author: Hidekazu Suzuki, Yoshihiko Taniguchi, Akihiro Tamiya, Hayato Kawachi, Yoshinobu Matsuda, Satoshi Tanizaki, Kinnosuke Matsumoto, Kiyonobu Ueno, Takafumi Yanase, Junji Uchida, Shinji Atagi, Motohiro Tamiya, and Yuji Inagaki
Subjects: Oncology, medicine.medical_specialty, Lung Neoplasms, Docetaxel, Antibodies, Monoclonal, Humanized, Ramucirumab, Older patients, Internal medicine, Carcinoma, Non-Small-Cell Lung, Antineoplastic Combined Chemotherapy Protocols, medicine, Humans, Lung cancer, Severe toxicity, Aged, Retrospective Studies, business.industry, Retrospective cohort study, Middle Aged, medicine.disease, Treatment Outcome, Dose reduction, Non small cell, Geriatrics and Gerontology, business, medicine.drug
Abstract: Ramucirumab (RAM) plus Docetaxel (DOC) is one of the standard treatments after first-line treatment failure in patients with advanced non-small cell lung cancer (NSCLC). However, little is known about the efficacy and safety of RAM plus DOC in older patients. We aimed to clarify these and elucidate the prognostic factors.In this multicenter retrospective study, conducted at four medical facilities in Japan, we evaluated the efficacy and safety data for two groups (65 and ≥ 65 years). Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan-Meier method and log-rank test. Multivariate analysis was performed to reveal the prognostic factors for better PFS and OS. Patient characteristics and adverse events (AEs) in both groups were compared using the Mann-Whitney's U and Fisher's exact tests for categorical variables.A total of 237 patients were included, of whom 43% (n = 103), and 57% (n = 134) were aged65, and ≥ 65 years. Median OS was 12.2 (95% CI: 9.4-15.0), and 14.8 months (95% CI: 10.8-18.8), respectively, and there were no significant differences between the groups (p = 0.534). Multivariate analysis identified DOC dose reduction (none vs performed, HR: 2.66, 95% CI: 1.62-4.35, p0.001) as an independent prognostic factor for OS in older patients, and a similar result was shown for the PFS. Grade ≥ 3 all AEs were identified in 42.7% and 56.7% of younger and older patients, respectively, and there was a significant difference between the groups (p = 0.033); however, the difference between the groups disappeared with primary DOC dose reduction (p = 0.526).The efficacy of RAM plus DOC administration in older, pretreated patients with advanced NSCLC was comparable to those of younger patients, whereas RAM plus DOC should be cautiously administered to older patients because of severe toxicity. Moreover, appropriate DOC dose reduction may be recommended for increased survival benefit and safety in such patients.
Published: 2021

48. Atezolizumab with bevacizumab, paclitaxel and carboplatin was effective for patients with SMARCA4-deficient thoracic sarcoma

Author: Takahisa Kawamura, Hanako Kuhara, Hayato Kawachi, Kei Kunimasa, Kazumi Nishino, Takako Inoue, Toru Kumagai, Yu Mizote, Keiichiro Honma, Harumi Nakamura, Motohiro Tamiya, Yoji Kukita, Hideaki Tahara, and Takashi Akazawa
Subjects: 0301 basic medicine, Oncology, Male, medicine.medical_specialty, Lung Neoplasms, Bevacizumab, Paclitaxel, medicine.medical_treatment, Immunology, Antineoplastic Agents, Malignancy, Antibodies, Monoclonal, Humanized, Carboplatin, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Antineoplastic Agents, Immunological, Atezolizumab, Internal medicine, medicine, Immunology and Allergy, Humans, Aged, business.industry, DNA Helicases, Nuclear Proteins, Sarcoma, Immunotherapy, Middle Aged, medicine.disease, 030104 developmental biology, Treatment Outcome, chemistry, 030220 oncology & carcinogenesis, SMARCA4, Drug Therapy, Combination, Female, business, medicine.drug, Transcription Factors
Abstract: SMARCA4-deficient thoracic sarcoma (DTS) is a recently noted progressive thoracic malignancy. We recently experienced three cases of SMARCA4-DTS who were treated with atezolizumab in combination with bevacizumab, paclitaxel and carboplatin (ABCP) as the first-line therapy. Immunohistopathological analysis revealed absent expression of SMARCA4 in all cases. The tumor mutational burden was over 11/Mb and mutations inLay abstract Lung cancer is the leading cause of cancer-related death worldwide. Among them, SMARCA4-deficient thoracic sarcoma (DTS), which lacks SMARCA4 expression and exhibits an undifferentiated carcinoma histology, is a recently identified subtype of lung cancer. It tends to occur in younger people with heavy smoking status and has been reported to recur quickly and have a poor prognosis even after chemotherapy, radiation therapy or surgery. There is no effective molecularly targeted agent for SMARCA4-DTS and the identification of an effective therapy is required. Here, we report the clinical features and genomic information of three SMARCA4-DTS cases in which atezolizumab with bevacizumab, paclitaxel and carboplatin treatment was effective. This report suggests the efficacy of atezolizumab with bevacizumab, paclitaxel and carboplatin treatment compared with conventional chemotherapy.
Published: 2021

49. Nationwide trends in prevalence of underweight, overweight, and obesity among people with disabilities in South Korea from 2008 to 2017

Author: Dong-Hwa, Lee, So Young, Kim, Jong Eun, Park, Hyun Jeong, Jeon, Jong-Hyock, Park, and Ichiro, Kawachi
Subjects: Adult, Aged, 80 and over, Male, Middle Aged, Overweight, Body Mass Index, Obesity, Morbid, Young Adult, Cross-Sectional Studies, Thinness, Republic of Korea, Prevalence, Humans, Disabled Persons, Female, Obesity, Aged
Abstract: This study investigated the 10-year trends of weight and prevalence of underweight, overweight and obesity according to disability grade and types compared with those without disabilities.This serial cross-sectional analysis was conducted using national disability registration data with national general health checkup data from 2008 to 2017. Age-standardized prevalence of underweight and obesity were analyzed for each year, according to the presence, type, and severity of disabilities. Odds of underweight, overweight, obesity, and severe obesity were examined by multinomial logistic regression after adjusting for socio-demographic and clinical variables using data in 2017.Over 10 million subjects in each year were included in the analysis. In 2017, 14,246,785 people with age between 19 and 110 years were included and 53.1% was men. For 10 years, age-standardized prevalence of obesity and severe obesity showed significant increases regardless of sex and presence of disability. However, age-standardized underweight prevalence in people without disability tended to decrease whereas it was an increase in 2012 and the prevalence has remained steady since in people with disability. People with disabilities had higher odds of underweight compared to those without disability (OR 1.41, 95% CI 1.38-1.44 in male and OR 1.31, 95% CI 1.28-1.34 in female), especially in those with severe disabilities (OR 2.00, 95% CI 1.94-2.06 in male and OR 1.83, 95% CI 1.77-1.89 in female). Women with disabilities are more likely to be obese than those without disabilities regardless of disability severity (OR 1.40, 95% CI 1.38-1.41). Participants with mental disorder showed the highest prevalence of obesity, followed by epilepsy and developmental disability.Having a disability was associated with higher odds/probability of both obesity and underweight. The intersection of female, severe disability, and mental/developmental disabilities was associated with probability of severe obesity. Simultaneous efforts are needed to develop health policy to reduce both the prevalence of obesity and underweight.
Published: 2021

50. Clinical impact of perioperative atrial fibrillation on long-term recurrence of malignancy

Author: Keisei Tachibana, Satoshi Higuchi, Haruhiko Kondo, Yorihisa Imanishi, Hideaki Yoshino, Kenichi Matsushita, Takeaki Matsuda, Nobutsugu Abe, Yusuke Kabeya, Hidefumi Takei, Hiroshi Hasegawa, Koichiro Saito, Shigeki Shibata, Kiyoshi Moriyama, Ryota Tanaka, Yutaka Suzuki, Riken Kawachi, and Tomoko Yorozu
Subjects: Male, medicine.medical_specialty, business.industry, Proportional hazards model, Incidence (epidemiology), Incidence, Hazard ratio, Cancer, Atrial fibrillation, Perioperative, Middle Aged, medicine.disease, Cardiac surgery, Postoperative Complications, Interquartile range, Risk Factors, Internal medicine, Neoplasms, Atrial Fibrillation, Medicine, Humans, Prospective Studies, Cardiology and Cardiovascular Medicine, business, Aged
Abstract: Perioperative complications have been reported to be associated with a lower incidence of cancer-free survival. Perioperative atrial fibrillation (POAF) is one of occasionally observed complications in patients with malignancies who undergo noncardiac surgeries. However, the long-term clinical impact of POAF on those with malignancies have remained unknown. This was a prospective, single-center, observational study. Patients who underwent noncardiac surgeries for definitive malignancies between 2014 and 2017 were included. The primary and secondary endpoints were 3-year recurrence of malignancies and cancer death, respectively. The present study included consecutive 752 patients (mean age, 68 ± 11 years; males, 62%), and POAF was observed in 77 patients. The follow-up duration was 1037 (interquartile range, 699–1408) days. The 3-year recurrence of malignancies was observed in 239 (32%) patients (POAF, 32 [42%]; non-POAF, 207 [31%]) and 3-year mortality was 130 patients (17%). Cardiac, noncardiac, and cancer deaths were observed in 4 (0.5%), 126 (17%), and 111 (15%) patients, respectively. Multivariate Cox regression analysis demonstrated that POAF was associated with 3-year recurrence of malignancies (hazard ratio [HR], 1.70; 95% confidence interval [CI], 1.15–2.52). Landmark analysis demonstrated that POAF tended to be correlated with the incidence of 3-year cancer death (HR, 1.79; 95% CI, 0.96–3.31). In conclusion, POAF is associated with the subsequent recurrence of malignancies. The association of arrhythmia with cancer death may be revealed under longer follow-up durations. Clinical Trial Registration: https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000018270 . UMIN ID: UMIN000016146.
Published: 2021

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1,139 results on '"Kawachi, A."'

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