11,096 results on '"Chen N."'
Search Results
2. Stratifying by Blood Glucose Levels to Predict Hemorrhagic Transformation Risk Post-Rt-PA in Acute Ischemic Stroke
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Chen N, Gao J, Zhao H, Liu S, Zhou Y, Liu Y, Zhang Z, and Yang S
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acute ischemic stroke ,thrombolytic therapy ,rt-pa ,hemorrhagic transformation ,blood glucose ,outcomes. ,Geriatrics ,RC952-954.6 - Abstract
Nan Chen, Jiadi Gao, Hanshu Zhao, Sihan Liu, Yubing Zhou, Yushuang Liu, Zhongling Zhang, Shanshan Yang Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People’s Republic of ChinaCorrespondence: Shanshan Yang; Zhongling Zhang, Department of Neurology, The First Affiliated Hospital of Harbin Medical University, No. 23 Youzheng Stree, Nangang District, Harbin, Heilongjiang Province, 150001, People’s Republic of China, Tel +86-451-85553681 ; + 86-451-85555918, Fax +86-451-85555918, Email yangshanshan81@163.com; zhangzhongling7@126.comObjective: Stroke is a leading cause of disability and mortality worldwide, posing a significant public health challenge. While treatment of acute ischemic stroke (AIS) with recombinant tissue plasminogen activator (rt-PA) is effective but increases the risk of hemorrhagic transformation (HT). This study aimed to explore the determinants of HT in AIS patients treated with rt-PA and investigate the association between blood glucose levels and HT risk.Methods: We conducted a prospective cohort study at the First Affiliated Hospital of Harbin Medical University from January 2018 to December 2021. Patients with AIS and who received rt-PA within 4.5 hours of symptom onset were included. Demographic, clinical, laboratory, and imaging data were collected.Results: Of the 426 patients, 15% experienced HT post-rt-PA, occurred more frequently in patients with a history of cardiac embolism, higher prethrombolysis NIHSS scores, and elevated fasting blood glucose (FBG) levels. The frequency of HT was higher in non-diabetic patients with FBG levels ≥ 7.0 mmol/L compared to diabetic patients. Elevated blood glucose levels were significantly associated with HT, regardless of diabetes history.Conclusion: The findings suggest importance of precise glycemic control during AIS management to improve patient outcomes, particularly in non-diabetic patients. Future protocols for AIS treatment should incorporate these findings to reduce HT risks. Further large-scale studies are needed to confirm these associations and guide clinical practices.Keywords: Acute ischemic stroke, thrombolytic therapy, rt-PA, hemorrhagic transformation, blood glucose, outcomes
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- 2024
3. Association of Physical Activity with Asthma and Chronic Obstructive Pulmonary Disease and Mediation of Frailty: Mendelian Randomization Analyses
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Chen N, Si X, Wang J, and Chen W
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asthma ,chronic obstructive pulmonary disease ,multivariate mendelian randomization ,mediation analyses ,physical activity ,univariate mendelian randomization ,Diseases of the respiratory system ,RC705-779 - Abstract
Nanxin Chen,1 Xuejie Si,2 Jun Wang,2 Wenjing Chen2 1First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250014, People’s Republic of China; 2Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250001, People’s Republic of ChinaCorrespondence: Wenjing Chen, Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250000, People’s Republic of China, Email c13969155126@163.comBackground: The existence of an association between physical activity (PA) and asthma and chronic obstructive pulmonary disease (COPD) has been confirmed in observational studies. Therefore, it is necessary to reveal whether there is a risk-effect relationship between physical activity and asthma and COPD through Mendelian randomization (MR) analysis.Materials and Methods: Univariate Mendelian randomization (UVMR) analyses were performed to examine the associations between moderate to vigorous physical activity (MVPA), vigorous physical activity (VPA), accelerometer-assessed physical activity (AA), and strenuous exercise or other exercise (SSOE) with asthma and COPD. The methods of analysis were dominated by Inverse Variance-Weighted (IVW), Weighted median (WM), and MR-Egger methods. In addition, multivariate Mendelian randomization (MVMR) analyses were performed to correct the effects of four types of physical activity on asthma and COPD. Finally, potential mediating effect relationships were identified through mediation analyses.Results: The results of Univariate Mendelian randomization analysis showed that SSOE could reduce the risk of asthma and COPD(asthma: OR=0.15,95% CI=0.04– 0.58, P=0.006; COPD: OR=0.05, 95% CI=0.01– 0.33, P=0.002). The results of the Multivariate Mendelian randomization analysis showed that SSOE was still able to reduce the risk of asthma and COPD after adjusting for the effects of different types of physical activity(asthma: 95% CI=− 2.77–− 0.31, P=0.014; COPD: 95% CI=− 4.00–− 0.50, P=0.012). Mediation analyses showed that frailty intervened in the causal relationship between physical activity and asthma and chronic obstructive pulmonary disease.Conclusion: SSOE is a protective factor for asthma and COPD in the European population, while frailty plays a mediating role.Keywords: asthma, chronic obstructive pulmonary disease, multivariate Mendelian randomization, mediation analyses, physical activity, univariate Mendelian randomization
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- 2024
4. Graph Metrics Reveal Brain Network Topological Property in Neuropathic Pain Patients: A Systematic Review
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Xin H, Yang B, Jia Y, Qi Q, Wang Y, Wang L, Chen X, Li F, Lu J, and Chen N
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neuropathic pain ,graph theory ,brain network ,magnetic resonance imaging ,Medicine (General) ,R5-920 - Abstract
Haotian Xin,1,2 Beining Yang,1,2 Yulong Jia,1,2 Qunya Qi,1,2 Yu Wang,1,2 Ling Wang,1,2 Xin Chen,1,2 Fang Li,3 Jie Lu,1,2 Nan Chen1,2 1Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Republic of China; 2Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, 100053, People’s Republic of China; 3Department of Rehabilitation Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Republic of ChinaCorrespondence: Nan Chen, Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, No. 45 Chang-Chun St, Xicheng District, Beijing, People’s Republic of China, Tel +86 13910784187, Email chenzen8057@sina.comAbstract: Neuropathic pain (NP) is a common and persistent disease that leads to immense suffering and serious social burden. Incomplete understanding of the underlying neural basis makes it difficult to achieve significant breakthroughs in the treatment of NP. We aimed to review the functional and structural brain topological properties in patients with NP and consider how graph measures reveal potential mechanisms and are applied to clinical practice. Related studies were searched in PubMed and Web of Science databases. Topological property changes in patients with NP, including small-worldness, functional separation, integration, and centrality metrics, were reviewed. The findings suggest that NP was characterized by retained but declined small-worldness, indicating an insidious imbalance between network integration and segregation. The global-level measures revealed decreased global and local efficiency in the NP, implying decreased information transfer efficiency for both long- and short-range connections. Altered nodal centrality measures involve various brain regions, mostly those associated with pain, cognition, and emotion. Graph theory is a powerful tool for identifying topological properties of patients with NP. These specific brain changes in patients with NP are very helpful in revealing the potential mechanisms of NP, developing new treatment strategies, and evaluating the efficacy and prognosis of NP.Keywords: neuropathic pain, graph theory, brain network, magnetic resonance imaging
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- 2024
5. Target Attainment and Population Pharmacokinetics of Nirmatrelvir/Ritonavir in Critically Ill Adult Patients
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Chen N, Yu X, Li L, Yang P, Dong R, Huang Y, Ling X, Shentu Q, Yu W, and Jiang S
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nirmatrelvir ,ritonavir ,pharmacokinetics ,critically ill ,creatinine clearance ,Infectious and parasitic diseases ,RC109-216 - Abstract
Na Chen,1,2 Xuben Yu,3 Lu Li,1 Ping Yang,1 Rong Dong,1,4 Yizhen Huang,1,5 Xiao Ling,1,6 Qiaoqiao Shentu,1,7 Wenqiao Yu,8 Saiping Jiang1 1Department of Clinical Pharmaceutical, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, People’s Republic of China; 2Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou, People’s Republic of China; 3Department of Pharmacy, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China; 4Department of Clinical Pharmacy, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China; 5Department of Pharmacy, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, People’s Republic of China; 6Department of Pharmacy, The People’s Hospital of Yuhuan, Taizhou, People’s Republic of China; 7Department of Pharmacy, Dongyang Red Cross Hospital, Jinhua, People’s Republic of China; 8Department of Hepatobiliary and Pancreatic Surgery and Intensive Care Unit, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, People’s Republic of ChinaCorrespondence: Saiping Jiang; Wenqiao Yu, Email j5145@zju.edu.cn; yuwenqiao1980@zju.edu.cnBackground: The population pharmacokinetics of nirmatrelvir/ritonavir (NIR/RIT) has not yet been described for critically ill adult patient.Purpose: This was a prospective observational population pharmacokinetic study of nirmatrelvir/ritonavir (NIR/RIT) in critically ill adult patients and identify optimal dosing regimens.Patients and Methods: The prescription of NIR/RIT is determined by the attending physician and ranges from 150mg/100mg to 300mg/100mg twice a day. Two to three serial blood samples were collected for each patient after the second doses. We developed and validated PK model for plasma NIR and plasma RIT. Monte Carlo dosing simulations were performed to assess target attainment.Results: We analyzed 89 plasma samples from 31 adult patients. The data were best described by a one-compartment model. Among the covariates tested on pharmacokinetic parameters, creatinine clearance (CrCL) and area under curve (AUC) of RIT had a significant effect on apparent clearance (CL/F) of NIR. Mean (SD) parameters estimates for the absorption rate constant (Ka), apparent distribution (V/F) and CL/F were 0.42 (0.10) h− 1. 36.5 (8.5) L, 3.6 (0.26) L/h, respectively. Dosing simulations showed that the target in vitro 90% effective concentration (EC90) was more likely to be achieved twice a day than once a day at the same daily dose of NIR. High CrCL, low AUC of RIT were associated with a reduced likelihood of NIR reaching the target EC90.Conclusion: Based on our dosing simulations, the initial dosage of NIR/RIT was 300mg/100mg twice a day in critically ill patients with CrCL> 45 mL/min; When CrCL in critically ill patients is between 15 and 45 mL/min, NIR/RIT is 150mg/100mg twice a day. The maintenance dose is adjusted according to CrCL and AUC of RIT, with the dosages varying between 75mg/100mg and 300mg/100mg.Keywords: nirmatrelvir, ritonavir, pharmacokinetics, critically ill, creatinine clearance
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- 2024
6. Sources of Allergens Detected Through Allergen-Specific Serum IgE Antibody Test in Children with Suspected Allergic Diseases in Central China
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Yang L, Gao K, Gong W, Li C, Chen N, Li T, Wang S, Ni J, and Yang J
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allergens ,childhood allergies ,ige antibodies ,food allergens ,allergy prevention. ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Liu Yang,1 Kaijie Gao,1 Weihua Gong,1 Ci Li,1 Nan Chen,1 Tiewei Li,1 Shan Wang,1 Jiajia Ni,2,3 Junmei Yang1 1Department of Clinical Laboratory, Children’s Hospital Affiliated to Zhengzhou University, Zhengzhou Key Laboratory of Children’s Infection and Immunity, Zhengzhou, Henan, People’s Republic of China; 2Research and Development Center, Guangdong Meilikang Bio-Science Ltd, Foshan, Guangdong People’s Republic of China; 3Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, People’s Republic of ChinaCorrespondence: Junmei Yang, Email yangjunmei7683@163.comPurpose: Although allergic diseases in children are on the rise, there has been no comprehensive investigation of the allergens affecting children with allergic diseases in central China. Therefore, we aimed to analyze the distribution of serum allergen species among children with allergic conditions in central China to inform the prevention, diagnosis, and treatment of childhood allergies.Patients and Methods: A total of 9213 children (5543 males with 2.88 ± 0.04 years old and 3670 females with 2.91 ± 0.05 years old) underwent allergen screening, and serum allergen-specific IgE (sIgE) antibodies were detected using an automated fluorescent enzyme immunoassay system.Results: Our findings revealed a total sIgE-positive rate (sIgE-PR) of 57.83%, with mixed food (42.10%), egg whites (30.83%), milk (28.97%), mixed dust mites (24.57%), and mixed molds (23.20%) being the most prevalent source of allergens. The sIgE-PR for common sources of allergens exhibited significant sex-based differences, with males having greater susceptibility than females (p< 0.05). Dust mites were the primary source of inhaled allergens, whereas egg white was the predominant source of food allergens. Sources of food allergens were most dominant among infants (0– 3 years old); sIgE-PRs for most source of food allergens decreased with age, whereas those for most source of inhaled allergens increased. The autumn sIgE-PRs for mixed molds, weed pollen combinations, and tree pollen combinations were significantly higher than those found in other seasons (p< 0.05).Conclusion: Our findings suggest that sources of allergens profiles in children with allergies vary across age groups and seasons. Understanding these patterns can improve the effective prevention of childhood allergies.Keywords: allergen, childhood allergies, IgE antibodies, source of food allergens, allergy prevention
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- 2024
7. Association of Midnight Cortisol Level with Bone Mineral Density in Chinese Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study
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Li S, Luo X, Lu Z, and Chen N
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type 2 diabetes mellitus ,midnight cortisol ,bone mineral density ,osteoporosis ,Specialties of internal medicine ,RC581-951 - Abstract
Shangjian Li, Xiumei Luo, Zhiqiang Lu, Ning Chen Department of Endocrinology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, Fudan University, Xiamen, People’s Republic of ChinaCorrespondence: Ning Chen, Department of Endocrinology, Zhongshan Hospital (Xiamen), Fudan University, No. 668 Jinhu Road, Xiamen, 361000, People’s Republic of China, Tel/Fax +86-0592-3569583, Email chen.ning@zsxmhospital.comObjective: To investigate the association of the midnight cortisol level with bone mineral density (BMD) in patients with type 2 diabetes mellitus (T2DM).Methods: This study included 249 T2DM patients (148 males with an average age of 53.8 years and 101 postmenopausal females with an average age of 63.6 years) admitted to Xiamen Hospital of Zhongshan Hospital Affiliated to Fudan University from January 2018 to April 2020. Baseline data were compared between patients with normal BMD and those with osteoporosis/osteopenia. The patients also were divided into groups according to the tertiles of midnight cortisol levels.Results: Among all T2DM, 178 had osteoporosis/osteopenia, including 98 men and 80 women. The baseline data analysis showed that patients with osteoporosis/osteopenia were more likely to be older, female, and thin, and to have high cortisol. Additionally, elevated estradiol levels had a protective effect on bone; once osteoporosis/osteopenia occurred, the probability of severe osteoporotic fracture was significantly increased. The BMD of the femoral neck, hip joint and lumbar spine decreased with increasing midnight cortisol level in men, postmenopausal women, and all T2DM patients (P< 0.05). Multivariate logistic regression analysis identified body mass index, estradiol level, and midnight cortisol level as independent risk factors for osteoporosis/osteopenia in T2DM patients.Conclusion: Higher midnight cortisol levels are significantly associated with increased risk of osteoporosis/osteopenia in T2DM patients. Thus, the midnight cortisol level represents a valuable marker for assessing osteoporosis/osteopenia risk in these patients.Keywords: type 2 diabetes mellitus, midnight cortisol, bone mineral density, osteoporosis
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- 2024
8. Indocalamus Leaves Carbon Dots as a Potential Antibacterial Agent
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Liu, S., Sun, W., Lu, Z., Yang, X., Pei, S., and Chen, N.
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- 2023
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9. Reasons, Efficacy and Safety of Switching to Dolutegravir-Based Regimens Among Virologically Suppressed PLWH: A Retrospective Cohort Study of 96 Weeks
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Deng M, Chen N, Lao X, Wang X, Fu J, Xing L, and Zhao H
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hiv ,dolutegravir ,switching ,virologically suppressed ,lipids profile ,Infectious and parasitic diseases ,RC109-216 - Abstract
Meiju Deng, Na Chen, Xiaojie Lao, Xiaolei Wang, Jiantao Fu, Lulu Xing, Hongxin Zhao Clinical Center for HIV/AIDS, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of ChinaCorrespondence: Hongxin Zhao, Clinical Center for HIV/AIDS, Beijing Ditan Hospital, Capital Medical University, No. 8, Jingshun Dongjie, Chaoyang District, Beijing, 100015, People’s Republic of China, Email drzhao66@ccmu.edu.cnPurpose: The study aimed to explore the reasons, efficacy, and safety of switching to dolutegravir (DTG) based regimens in virologically suppressed people living with HIV (PLWH) in tertiary hospitals in China. Therefore, the study could provide a valuable reference for the rational clinical use of DTG.Methods: PLWH’s basic information, treatment details, and reasons for switching were collected, through the electrical clinical medical record system and telephone follow-up. Data included the proportion of PLWH with HIV RNA < 50 copies/mL, changes in immunological indicators, and metabolic metrics at week 48 and week 96.Results: 319 PLWH were included in the analysis. The three major reasons for switching were neurological toxicity (16.30%), simplification (13.79%), and renal toxicity (11.29%). Our study showed high rates of virologic suppression in the per-protocol analysis (week 48: 99.69%; week 96: 99.29%) after switching to DTG-based regimens. The median CD4+ T cell count increased from 579 cells/μL (IQR 420.5– 758) to 642 cells/μL (IQR 466.5– 854) at week 96 (p< 0.0001). An improvement was observed in liver function (ALT: p< 0.0001; AST: p< 0.0001) and fasting glucose (p< 0.0001). However, there was an elevation in creatinine (Cr) (p< 0.0001) and a slight decrease in the estimated glomerular filtration rate (eGFR) (p< 0.0001). Regarding lipid profile, triglyceride (TG) levels declined, while total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) levels increased. Further analysis revealed that the increase in TC and LDL-C was associated with the withdrawal of tenofovir disoproxil fumarate (TDF). This observed increase in lipid parameters only concerned the PLWH who switched from a TDF-containing regimen to a non-TDF regimen.Conclusion: This study confirmed the virologic efficacy of switching to DTG-based regimens in virologically suppressed PLWH over a 96-week period. The findings also expanded the evidence of immune reconstitution and metabolic safety associated with this switch.Keywords: HIV, dolutegravir, switching, virologically suppressed, lipids profile
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- 2024
10. Reactive Oxygen Species Induced Upregulation of TRPV1 in Dorsal Root Ganglia Results in Low Back Pain in Rats
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Chen X, Chen Z, Ma G, Sha J, Zhao S, Liu Z, Chen N, and Yang H
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lower back pain ,reactive oxygen species ,dorsal root ganglion ,transient receptor potential vanilloid-1 ,substance p ,calcitonin gene related peptide ,intervertebral disc ,Pathology ,RB1-214 ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Xinyong Chen,1,2,* Zhe Chen,3,* Gongchang Ma,2 Jianjun Sha,2 Shan Zhao,2 Zuoqing Liu,2 Nong Chen,2 Huilin Yang1 1Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, 215000, People’s Republic of China; 2Department of Orthopedics, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, 200025, People’s Republic of China; 3Department of Orthopedics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, People’s Republic of China*These authors contributed equally to this workCorrespondence: Nong Chen, Department of Orthopedics, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, 200025, People’s Republic of China, Email chennong1975@126.com Huilin Yang, Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, 215000, People’s Republic of China, Email orthdoctor@126.comBackground: Dorsal root ganglia (DRGs) contain sensory neurons that innervate intervertebral discs (IVDs) and may play a critical role in mediating low-back pain (LBP), but the potential pathophysiological mechanism needs to be clarified.Methods: A discogenic LBP model in rats was established by penetration of a lumbar IVD. The severity of LBP was evaluated through behavioral analysis, and the gene and protein expression levels of pro-algesic peptide substance P (SP) and calcitonin gene–related peptide (CGRP) in DRGs were quantified. The level of reactive oxygen species (ROS) in bilateral lumbar DRGs was also quantified using dihydroethidium staining. Subsequently, hydrogen peroxide solution or N-acetyl-L-cysteine was injected into DRGs to evaluate the change in LBP, and gene and protein expression levels of transient receptor potential vanilloid-1 (TRPV1) in DRGs were analyzed. Finally, an inhibitor or activator of TRPV1 was injected into DRGs to observe the change in LBP.Results: The rats had remarkable LBP after disc puncture, manifesting as mechanical and cold allodynia and increased expression of the pro-algesic peptides SP and CGRP in DRGs. Furthermore, there was significant overexpression of ROS in bilateral lumbar DRGs, while manipulation of the level of ROS in DRGs attenuated or aggravated LBP in rats. In addition, excessive ROS in DRGs stimulated upregulation of TRPV1 in DRGs. Finally, activation or inhibition of TRPV1 in DRGs resulted in a significant increase or decrease of discogenic LBP, respectively, suggesting that ROS-induced TRPV1 has a strong correlation with discogenic LBP.Conclusion: Increased ROS in DRGs play a primary pathological role in puncture-induced discogenic LBP, and excessive ROS–induced upregulation of TRPV1 in DRGs may be the underlying pathophysiological mechanism to cause nerve sensitization and discogenic LBP. Therapeutic targeting of ROS or TRPV1 in DRGs may provide a promising method for the treatment of discogenic LBP.Keywords: lower back pain, reactive oxygen species, dorsal root ganglion, transient receptor potential vanilloid-1, substance p, calcitonin gene related peptide, intervertebral disc
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- 2024
11. The COHERENT Experimental Program
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Akimov, D., Alawabdeh, S., An, P., Arteaga, A., Awe, C., Barbeau, P. S., Barry, C., Becker, B., Belov, V., Bernardi, I., Blackston, M. A., Blokland, L., Bock, C., Bodur, B., Bolozdynya, A., Bouabid, R., Bracho, A., Browning, J., Cabrera-Palmer, B., Chen, N., Chernyak, D., Conley, E., Daughhetee, J., Daughtry, J., Day, E., Coello, M. del Valle, Detwiler, J., Ding, K., Durand, M. R., Efremenko, Y., Elliott, S. R., Fabris, L., Febbraro, M., Fox, W., Galambos, J., Rosso, A. Gallo, Galindo-Uribarri, A., Gilbert, C., Green, M. P., Hansen, K. R., Harris, B., Heath, M. R., Hedges, S., Henderson, R., Hoang, D., Hughes, C., Hughes, M., Iverson, E., Jairam, P., Johnson, B. A., Johnson, T., Kaufman, L., Khromov, A., Konovalov, A., Koros, J., Kozlova, E., Kumpan, A., Li, L., Librande, J. T., Link, J. M., Liu, J., Major, A., Mann, K., Markoff, D. M., Mastroberti, J., Mattingly, J., McGoldrick, O., McIntyre, M., Melikyan, Y. A., Mishra, M., Mueller, P. E., Newby, J., Parno, D. S., Penne, A., Penttila, S. I., Pershey, D., Prior, C., Radford, D., Rahman, F., Rapp, R., Ray, H., Raybern, J., Razuvaeva, O., Reyna, D., Rich, G. C., Rimal, D., Ross, J., Rouzky, A., Rudik, D., Runge, J., Salvat, D. J., Salyapongse, A. M., Sander, J., Scholberg, K., Siehien, P., Shakirov, A., Simakov, G., Sinev, G., Snow, W. M., Sosnovstsev, V., Steele, J., Hjelmstad, A. Strasbaugh, Subedi, T., Suh, B., Tayloe, R., Tellez-Giron-Flores, K., Thornton, R. T., Tolstukhin, I., Trotter, S., Tsai, F., Tsai, Y. -T., Ujah, E., Vanderwerp, J., van Nieuwenhuizen, E., Varner, R. L., Vasquez, S., Virtue, C. J., Visser, G., Walkup, K., Wang, J., Ward, E. M., Wiseman, C., Wongjirad, T., Wu, D., Yang, J., Yang, Y., Yen, Y. -R., Yoo, J., Yu, C. -H., Zettlemoyer, J., and Zhang, S.
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High Energy Physics - Experiment ,Nuclear Experiment ,Physics - Instrumentation and Detectors - Abstract
The COHERENT experiment located in Neutrino Alley at the Spallation Neutron Source (SNS), Oak Ridge National Laboratory (ORNL), has made the world's first two measurements of coherent elastic neutrino-nucleus scattering (CEvNS), on CsI and argon, using neutrinos produced at the SNS. The COHERENT collaboration continues to pursue CEvNS measurements on various targets as well as additional studies of inelastic neutrino-nucleus interactions, searches for accelerator-produced dark matter (DM) and physics beyond the Standard Model, using the uniquely high-quality and high-intensity neutrino source available at the SNS. This white paper describes primarily COHERENT's ongoing and near-future program at the SNS First Target Station (FTS). Opportunities enabled by the SNS Second Target Station (STS) for the study of neutrino physics and development of novel detector technologies are elaborated in a separate white paper., Comment: 38 papers, 24 figures; Snowmass contribution
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- 2022
12. Novel pathways linked to the expression of temperament in Merino sheep: a genome-wide association study
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Ding, L., Colman, E.R., Wang, Y., Ramachandran, M., Maloney, S.K., Chen, N., Yin, J., Chen, L., Lier, E.V., Blache, D., and Wang, M.
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- 2024
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13. Increased PD-1+ NK Cell Subset in the Older Population
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Deng M, Zeng Y, Liu Y, Wang X, Chen N, Zhang M, Jiang M, Zhao H, and Du J
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pd-1 ,nk cell ,aging ,co-inhibitory molecules ,Medicine (General) ,R5-920 - Abstract
Meiju Deng,1,2,* Yongqin Zeng,2,3,* Ying Liu,2 Xiaolei Wang,1,2 Na Chen,1,2 Mengyuan Zhang,1,4– 6 Meiqing Jiang,1,4– 6 Hongxin Zhao,2 Juan Du1,4– 6 1Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China; 2Clinical Center for HIV/AIDS, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China; 3Department of Nephrology, The Affiliated Hospital Guizhou Medical University, Guiyang, Guizhou, 550004, People’s Republic of China; 4Beijing Institute of Infectious Diseases, Beijing, 100015, People’s Republic of China; 5National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China; 6National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, 100015, People’s Republic of China*These authors contributed equally to this workCorrespondence: Juan Du; Hongxin Zhao, Email duj656@ccmu.edu.cn; Drzhao66@ccmu.edu.cnBackground: The aging of the immune system is associated with various diseases. It is worth exploring the changes of the immune system in aging. Previous studies have shown that aged T cells have enhanced expression of co-inhibitory molecules. However, it remains unclear whether aged NK cells exhibit similar characteristics to aged T cells. The objective of our research was to clarify this aspect.Patients and Methods: This study included 98 adults aged 24– 90 years (50 males and 48 females). We detected the subset of peripheral blood NK cells and the expression of various receptors on NK cells among donors of different age groups by flow cytometry. Immune subsets were initially defined by forward and side-scatter characteristics and then staining with the appropriate marker.Results: The absolute number and subset distribution of NK cells were not associated with age. However, CD57 expression and CD69 expression were correlated with age. Furthermore, we found that PD-1 was up-regulated on NK cells in older people, associated with aging, while no such change was observed in other co-inhibitory molecules, including 2B4, CTLA-4, TIM-3, BTLA, CD70, CD39, CD160, and TIGIT. PD-1+ NK cells expressed high levels of CD57 and CD69, indicating PD-1+ NK cells displayed a phenotype of over-activation and aging.Discussion: This study indicated that PD-1+ NK cells were one of the characteristics of NK cells in older people.Conclusion: This study indicated that PD-1+ NK cells were one of the characteristics of NK cells in older people. Those findings provided new ideas to explore the underlying drivers of NK aging.Keywords: PD-1, NK cell, aging, co-inhibitory molecules
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- 2024
14. Copper-Based Single-Atom Nanozyme System Mimicking Platelet Cells for Enhancing the Outcome of Radioimmunotherapy
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Chen C, Chen N, Qi Y, Lyu M, Wu C, Xie C, and Yu H
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platelet cell membrane ,single-atom nanozyme ,radiotherapy ,radioimmunotherapy ,breast cancer ,Medicine (General) ,R5-920 - Abstract
Cheng Chen,1,* Nandi Chen,2,3,* Yan Qi,1,* Meng Lyu,2 Chaoyan Wu,4,* Conghua Xie,1 Haijun Yu1 1Department of Radiation and Medical Oncology, Hubei Province Cancer Clinical Study Center, Hubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, People’s Republic of China; 2Department of Gastrointestinal Surgery & Department of Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, 518020, People’s Republic of China; 3Analysis and Testing Center, Shenzhen Technology University, Shenzhen, 518118, People’s Republic of China; 4Department of Integrated Traditional Chinese Medicine and Western Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, People’s Republic of China*These authors contributed equally to this workCorrespondence: Haijun Yu; Conghua Xie, Email haijunyu@whu.edu.cn; chxie_65@whu.edu.cnBackground: Radiotherapy is an indispensable part of the multidisciplinary treatment of breast cancer (BC). Due to the potential for serious side effects from ionizing radiation in the treatment of breast cancer, which can adversely affect the patient’s quality of life, the radiation dose is often limited. This limitation can result in an incomplete eradication of tumors.Methods: In this study, biomimetic copper single-atom catalysts (platelet cell membrane camouflaging, PC) were synthesized with the aim of improving the therapeutic outcomes of radiotherapy for BC. Following guidance to the tumor site facilitated by the platelet cell membrane coating, PC releases a copper single-atom nanozyme (SAzyme). This SAzyme enhances therapeutic effects by generating reactive oxygen species from H2O2 and concurrently inhibiting the self-repair mechanisms of cancer cells through the consumption of intracellular glutathione (GSH) within the tumor microenvironment. PC-augmented radiotherapy induces immunogenic cell death, which triggers an immune response to eradicate tumors.Results: With the excellent biocompatibility, PC exhibited precise tumor-targeting capabilities. Furthermore, when employed in conjunction with radiotherapy, PC showed impressive tumor elimination results through immunological activation. Remarkably, the tumor suppression rate achieved with PC-enhanced radiotherapy reached an impressive 93.6%.Conclusion: Therefore, PC presents an innovative approach for designing radiosensitizers with tumor-specific targeting capabilities, aiming to enhance the therapeutic impact of radiotherapy on BC.Keywords: platelet cell membrane, single-atom nanozyme, radiotherapy, radioimmunotherapy, breast cancer
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- 2024
15. Life Expectancy in Pre-Frail and Frail States with and without Disability: 18-Years of Follow-Up Data from the HEPESE Study Using the Markov Chain Method
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Al Snih, Soham, Chen, N.-W., Chou, L.-N., Markides, K. S., and Ottenbacher, K. J.
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- 2023
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16. Diagnostic Efficacy of Metagenomic Next-Generation Sequencing in Patients with Spinal Infections: A Retrospective Study
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Cheng H, Wu H, Tan N, Liu Z, Wang N, Chen N, and Li C
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culture ,diagnosis ,sensitivity ,specificity ,bacteria ,clinical evidence ,Infectious and parasitic diseases ,RC109-216 - Abstract
Hanwen Cheng,1,* Haoyu Wu,1,* Ni Tan,2,* Zhuojie Liu,1 Ning Wang,1 Ningyi Chen,1 Chunhai Li1,3 1Department of Orthopaedics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, People’s Republic of China; 2Cellular and Molecular Diagnostics Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong Province, People’s Republic of China; 3Teaching and Research Bureau of Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Chunhai Li, Department of Orthopaedics, Sun Yat-sen Memorial Hospital, Sun Yat‐sen University, Guangzhou, Guangdong Province, 510000, People’s Republic of China, Tel +86-18602079796, Fax +86-(20)81332523, Email lichhai@mail.sysu.edu.cnPurpose: Early diagnosis of spinal infections remains challenging, and emerging metagenomic next-generation sequencing (mNGS) technology holds promise in addressing this issue. The aim of this study is to investigate the diagnostic efficacy of mNGS in spinal infections.Patients and Methods: A total of 78 cases with suspected spinal infections were enrolled in this study, all of whom underwent laboratory, histopathological and mNGS examinations upon admission. Lesion samples were obtained by surgical or C-arm-guided puncture. Sensitivity, specificity, positive predictive value and negative predictive value of culture and mNGS were calculated for statistical analysis.Results: With histopathological results as the reference, the included 78 patients were categorized into 50 cases in the spinal infection group and 28 cases in the aseptic group. The sensitivity (84%) and negative predictive value (77.14%) of mNGS were significantly higher than those of culture (32% and 44.26%, respectively), whereas no significant differences were observed in terms of specificity and positive predictive value. In the subgroup analysis for Mycobacterium tuberculosis, the sensitivity of mNGS (90.91%) and T-spot (90.91%) was significantly higher than that of culture (0). Additionally, mNGS demonstrated markedly higher specificity (100%) compared to T-spot (85.07%).Conclusion: This study underscores the substantial advantages of mNGS in terms of diagnostic accuracy and bacterial coverage for spinal infections. The findings provide compelling clinical evidence that supports the enhanced diagnostic efficacy of mNGS.Keywords: culture, diagnosis, sensitivity, specificity, bacteria, clinical evidence
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- 2023
17. Population Pharmacokinetics of Isavuconazole in Adult: A Systematic Review
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Chen N, Wang X, Li Y, Yang P, Huang M, and Lu X
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isavuconazonium sulfate ,isavuconazole ,population pharmacokinetics ,covariates ,Infectious and parasitic diseases ,RC109-216 - Abstract
Na Chen,1,2 Xiaojuan Wang,1,2 Yinyan Li,1,2 Ping Yang,1,2 Mingzhu Huang,1,2 Xiaoyang Lu1,2 1Department of Pharmaceutical, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People’s Republic of China; 2Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou, Zhejiang Province, People’s Republic of ChinaCorrespondence: Xiaoyang Lu; Mingzhu Huang, Email luxiaoyang@zju.edu.cn; hmzj2002@zju.edu.cnAbstract: Isavuconazole (ISA) is a second generation broad-spectrum triazole antifungal drug derived from voriconazole structure, and its oral capsules is currently the only oral preparation approved for invasive mucormycosis. In recent years, population pharmacokinetic studies of ISA have been reported continuously. This paper aims to summarize the characteristics of population pharmacokinetic models of ISA in adults, and provide theoretical basis for individualized administration of ISA. We systematically searched PubMed, Embase, CNKI, Wanfang, VIP and other databases to collect population pharmacokinetic models published from the establishment of the database to March 2023. A total of 6 studies were included in this review, including healthy men and women, invasive fungal infections with malignant tumors or neutropenia, solid organ transplantation. The dose of ISA was 40– 400mg for single-dose. The multiple-dose of ISA was 200mg every 8 hours for the first 48 hours and then 200mg once daily. All studies used a two-compartment model, first-order elimination. For oral formulations, except for one study that used first-order absorption, the others used Weibull absorption. Body mass index (BMI) was the most common covariable, followed by total body weight, lean body mass, race, sex, population type (healthy volunteers/patients), and creatinine clearance. These studies included several covariates, and the clearance rate (CL) was similar among populations. In the future, external validation and population pharmacokinetic studies in special populations such as patients with severe liver disease and ECMO support are needed.Keywords: isavuconazonium sulfate, isavuconazole, population pharmacokinetics, covariates
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- 2023
18. Gender Differences in the Association Between Sarcopenia and Depressive Symptoms Among Community-Dwelling Older People in a Chinese Suburban Area
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Lu L, Mao L, Yang S, He X, Zhang Z, and Chen N
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sarcopenia ,depressive symptoms ,gender difference ,suburban area ,older people ,Medicine (General) ,R5-920 - Abstract
Linqian Lu,1,2,* Lin Mao,3,* Shanshan Yang,3,* Xiangfeng He,1 Zhen Zhang,1 Nan Chen1 1Department of Rehabilitation, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, People’s Republic of China; 2The Second Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang, People’s Republic of China; 3Department of Rehabilitation, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China*These authors contributed equally to this workCorrespondence: Nan Chen, Department of Rehabilitation, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, 202150, People’s Republic of China, Email chennanreh2020@126.comIntroduction: Sarcopenia and depressive symptoms are common disorders in older people; however, there is lacking for studies focus on the association between sarcopenia and depressive symptoms by gender. Thus, we investigate gender differences in the association between sarcopenia and depressive symptoms.Methods: 1119 participants aged ≥ 65 were included in our study. Sarcopenia was defined as no sarcopenia, possible sarcopenia, general sarcopenia, and severe sarcopenia by the Asian Working Group for Sarcopenia 2019 consensus. Depressive symptoms were assessed by the Geriatric Depression Scale-15. The logistic regression analysis was used to identify the association between sarcopenia and depressive symptoms.Results: No sarcopenia and severe sarcopenia were significantly inversely and positively associated with depressive symptoms only in women. In men, low appendicular skeletal muscle mass index was significantly inversely associated with depressive symptoms. In women, low gait speed was significantly inversely associated with depressive symptoms, while poor 5-time chair stand test was significantly positively associated with depressive symptoms.Conclusion: Our study found that sarcopenia and its diagnostic elements were significantly associated with depressive symptoms in men or women. Interventions for muscle mass and physical performance are necessary for sarcopenia to prevent the development of depressive symptoms timely.Keywords: sarcopenia, depressive symptoms, gender difference, suburban area, older people
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- 2023
19. Real-Time Hemodynamic Changes in the Prefrontal and Bilateral Temporal Cortices During Intradermal Acupuncture for Major Depressive Disorder: A Prospective, Single-Center, Controlled Trial Protocol
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Xiong S, Tu M, Wu X, Qu S, Chen N, Jin J, Rong H, Pei S, Fang J, and Shao X
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major depressive disorder ,intradermal acupuncture ,functional near-infrared spectroscopy ,prefrontal cortex ,temporal cortex. ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Sangsang Xiong,1,* Mingqi Tu,1,* Xiaoting Wu,1 Siying Qu,1 Nisang Chen,1 Junyan Jin,1 Haiqin Rong,1 Shuangyi Pei,2 Jianqiao Fang,1 Xiaomei Shao1 1Key Laboratory for Research of Acupuncture Treatment and Transformation of Emotional Diseases, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, People’s Republic of China; 2The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiaomei Shao; Jianqiao Fang, Zhejiang Chinese Medical University, No. 548, Binwen Road, Binjiang District, Hangzhou City, Zhejiang Province, People’s Republic of China, Tel +86 189 5713 0287, Email shaoxiaomei@zcmu.edu.cn; fangjianqiao7532@163.comBackground: Major depressive disorder (MDD) is highly prevalent, affecting more than 300 million individuals worldwide, and its occurrence may be related to the abnormality of the prefrontal cortex and bilateral temporal cortex. Acupuncture, rooted in the theories of acupoints and meridians, has demonstrated its efficacy in regulating cortical blood flow (CBF) in the brains of MDD patients. As one form of acupuncture, intradermal acupuncture (IA) can alleviate clinical symptoms such as depressive mood and insomnia in MDD patients. However, it remains unknown whether IA will have a specific effect on the prefrontal cortex and bilateral temporal cortex in MDD patients.Methods: In total, 60 participants will be recruited: 20 healthy control participants and 40 MDD patients. All healthy control participants will be allocated to the control group, whereas the 40 MDD patients will be randomly divided into two groups: the gallbladder meridian acupoint (GBA) group and the non-acupoint (NA) group, at a 1:1 allocation ratio. All groups will undergo a one-time IA intervention while their cortical activity is monitored using functional near-infrared spectroscopy (fNIRS). Total hemoglobin, oxygenated hemoglobin, and deoxygenated hemoglobin of the prefrontal and bilateral temporal cortices will be measured by fNIRS during the test procedure.Discussion: This trial aims to use fNIRS to compare real-time hemodynamic changes in the prefrontal and bilateral temporal cortices of healthy individuals and MDD patients during IA. The primary objective is to investigate whether MDD patients exhibit specific real-time responses to IA stimulation in these brain regions. The findings from this study will provide clinical data and a possible theoretical basis for the assumption that stimulation of IA may treat MDD by modulating the relevant brain regions.Trial Registration: The study protocol has been registered in the clinicaltrials.gov with the code NCT05707299.Keywords: major depressive disorder, intradermal acupuncture, functional near-infrared spectroscopy, prefrontal cortex, temporal cortex
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- 2023
20. A New Thiohydantoin Derivative from the Roots of Lepidium meyenii
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Liu, W. X., Liao, Y. J., Chen, N., Geng, H. C., and Zhou, M.
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- 2023
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21. Sijunzi Decoction Targets IL1B and TNF to Reduce Neutrophil Extracellular Traps (NETs) in Ulcerative Colitis: Evidence from Silicon Prediction and Experiment Validation
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Zhang D, Duan S, He Z, Zhu Z, Li Z, Yi Q, Cai T, Li J, Chen N, and Guo S
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ulcerative colitis ,sijunzi decoction ,network pharmacology ,il1b ,tnf ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Dong Zhang,1,2 Siwei Duan,3 Zhangyou He,4 Zeming Zhu,3 Zhiping Li,3 Qincheng Yi,4 Tiantian Cai,1,2 Juanjuan Li,1,2 Nan Chen,1,2 Shaoju Guo1,2 1Gastrointestinal Ward, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, People’s Republic of China; 2Gastrointestinal Ward, Shenzhen Hospital of Traditional Chinese Medicine, Shenzhen, People’s Republic of China; 3Institute of Gastroenterology, Science and Technology Innovation Center of Guangzhou University of Chinese Medicine, Guangzhou, People’s Republic of China; 4Institute of Gastroenterology, Guangzhou University of Chinese Medicine, Guangzhou, People’s Republic of ChinaCorrespondence: Shaoju Guo, Gastrointestinal Ward, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, People’s Republic of China, Tel +86-0755-82571384, Email gsj1080@163.comPurpose: This study was conducted to explore the mechanism of Sijunzi Decoction (SJZ) in the treatment of ulcerative colitis (UC).Methods: The study aimed to investigate the active components and targets of SJZ in the treatment of UC by screening databases such as TCMSP, GeneCards, OMIM, Distinct, TTD, and Drugbank. An online Venn tool, Cytoscape 3.7.2, and Autodock Tools were used to analyze the components and targets. The study also used a mouse model of UC to further investigate the effects of SJZ. HE staining, immunofluorescence, ELISA, qPCR, and Western blot were used to detect various indices.Results: Eighty-three active components and 112 action targets were identified from SJZ, including 67 targets for treating UC-related NETs. The five core targets identified were AKT1, JUN, IL1B, PTGS2, and TNF, and molecular docking studies indicated that the five targets were well-docked with ginsenoside Rh2, isoflavones, and formononetin. Animal experiments demonstrated that SJZ could alleviate various parameters such as weight, colon length, spleen index, disease activity index, and intestinal pathology of the UC mice. Immunofluorescence and Western blot showed that SJZ could reduce the expression of IL1B and TNF in intestinal neutrophils while increasing the expression of Occludin. Cellular immunofluorescence suggests that SJZ can reduce the expression of TNF and IL1B in NETs. The qPCR results also suggested that SJZ could inhibit TNF signal. Furthermore, ELISA results suggested that SJZ could inhibit the expression of pro-inflammatory cytokines (TNF-α, IL-1β, IL-6) while promoting the expression of anti-inflammatory cytokines (IL-10, IL-37, TGF-β).Conclusion: SJZ treats UC by reducing the content of intestinal NETs, with primary targets on the NETs being IL1B and TNFand suppress TNF signal. The practical components of SJZ may be ginsenoside Rh2, isoflavones, and formononetin.Graphical Abstract: Keywords: ulcerative colitis, Sijunzi decoction, network pharmacology, IL1B, TNF
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- 2023
22. Application of machine learning techniques in the diagnostic approach of PTSD using MRI neuroimaging data: A systematic review
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Jia, Y.L., Yang, B.N., Yang, Y.H., Zheng, W.M., Wang, L., Huang, C.Y., Lu, J., and Chen, N.
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- 2024
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23. Concurrent and rapid recovery of bacteria and protist communities in Canadian boreal forest ecosystems following wildfire
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Dai, Z, Lv, X, Ma, B, Chen, N, Chang, SX, Lin, J, Wang, X, Su, W, Liu, H, Huang, Y, Hu, C, Luo, Y, Dahlgren, RA, and Xu, J
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Bacteria ,Protist ,Wildfire ,Recovery ,Fire chronosequence ,Responsive OTUs ,Agronomy & Agriculture ,Environmental Sciences ,Biological Sciences ,Agricultural and Veterinary Sciences - Abstract
Wildfire plays an important role in restructuring bacterial and protist taxonomic and functional communities in forest ecosystems. Yet, the recovery of bacterial and protist communities following wildfire has not been rigorously investigated across long-term wildfire chronosequences. We compared changes in bacterial and protist alpha diversity, community composition, co-occurrence networks and determinant edaphic factors between burnt and unburnt (reference) soils at 11 different sites representing a 76-year wildfire chronosequence in Canadian boreal forests. The fire increased bacterial and protist alpha diversity and altered community composition (beta diversity) as compared to the site-specific controls during the early recovery stage (30 years) recovery stages. Bacterial and protist communities showed similar patterns of change across the wildfire chronosequence. The post-fire recovery of bacterial communities was associated with changes in soil chemical properties (e.g., nutrient status and pH) and vegetation succession. The protist community assembly was co-influenced by changes in bacterial communities and vegetation succession/soil properties. The concurrent recovery of bacterial and protist communities, and their influencing factors of vegetation and soil properties, imply the above- and belowground living communities are strongly linked in wildfire-perturbed forest ecosystems.
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- 2021
24. A Non-Gaussian Stochastic Model for the El Ni\~no Southern Oscillation
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Giorgini, L. T., Moon, W., Chen, N., and Wettlaufer, J. S.
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Physics - Atmospheric and Oceanic Physics - Abstract
A non-autonomous stochastic dynamical model approach is developed to describe the seasonal to interannual variability of the El Ni\~no-Southern Oscillation (ENSO). We determine the model coefficients by systematic statistical estimations using partial observations involving only sea surface temperature data. Our approach reproduces the observed seasonal phase locking and its uncertainty, as well as the highly non-Gaussian statistics of ENSO. Finally, we recover the intermittent time series of the hidden processes, including the thermocline depth and the wind bursts.
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- 2020
25. Experimental characterization of SiCH+via single-photon ionization of gas-phase SiCH.
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Chen, N. L., Gans, B., Boyé-Péronne, S., Hartweg, S., Garcia, G. A., and Loison, J.-C.
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SiCH and its cation have consistently emerged as predicted species in models of silicon chemistry within the interstellar medium, although they remain unobserved in space. Hindered by their intrinsic instability, no spectroscopic insights have been gleaned concerning the SiCH+ cation. In this study, we present experimental measurements on the SiCH+ cation through single-photon ionization spectroscopy of the SiCH radical within the 8.0–11.0 eV range. Gas-phase SiCH radicals were generated through chemical reactions involving CHx (x = 0–3) and SiHy (y = 0–3) within a microwave discharge flow-tube reactor. Employing a double imaging photoelectron/photoion coincidence spectrometer on the DESIRS beamline at the SOLEIL synchrotron, we recorded mass-selected ion yield and photoelectron spectra. From the analysis of the photoelectron spectrum supported by ab initio calculations and Franck–Condon simulations, the adiabatic ionization energies for the transitions from the X2Π ground electronic state of SiCH toward the X+3Σ− and A+3Π electronic states of SiCH+ have been derived [8.935(6) and 10.664(6) eV, respectively, without spin–orbit correction]. The contribution from the less stable isomer HSiC has been explored in our analysis and ruled out in our experiments. [ABSTRACT FROM AUTHOR]
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- 2024
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26. Optimizing Treatment for Major Depressive Disorder in Adolescents: The Impact of Intradermal Acupuncture - A Randomized Controlled Trial Protocol
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Chen N, Wu X, Tu M, Xiong S, Jin J, Qu S, Pei S, Fang J, and Shao X
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major depressive disorder ,intradermal acupuncture ,selective serotonin reuptake inhibitors ,adolescent ,randomized controlled trial ,protocol ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Nisang Chen,1,* Xiaoting Wu,1,* Mingqi Tu,1 Sangsang Xiong,1 Junyan Jin,1 Siying Qu,1 Shuangyi Pei,1,2 Jianqiao Fang,1,2 Xiaomei Shao1,2 1Key Laboratory of Acupuncture and Neurology of Zhejiang Province, Department of Neurobiology and Acupuncture Research, The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, People’s Republic of China; 2Key Laboratory for Research of Acupuncture Treatment and Transformation of Emotional Diseases, The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiaomei Shao; Jianqiao Fang, Zhejiang Chinese Medical University, No. 548, Binwen Road, Binjiang District, Hangzhou City, Zhejiang Province, People’s Republic of China, Email 13185097375@163.com; shaoxiaomei@zcmu.edu.cn; fangjianqiao7532@163.comBackground: Major depressive disorder (MDD) exhibits a pronounced occurrence among adolescents, aligning closely with the lifetime prevalence rate of 16.6% observed in adults. It is difficult to treat and prone to recurrence. Acupuncture has shown potential in enhancing treatment effectiveness. Nonetheless, there is a lack of research on the use of intradermal acupuncture (IA) in treating adolescent MDD.Methods: This study is a double-blind, randomized controlled trial. A cohort of 120 participants will be assigned randomly to three distinct groups, namely a Selective Serotonin Reuptake Inhibitors (SSRIs)-only group, a sham intradermal acupuncture combined with SSRIs (SIA) group, and an active intradermal acupuncture combined with SSRIs (AIA) group. Hamilton Depression Rating Scale will serve as the primary outcome, while Patient Health Questionnaire-9, Self-Rating Depression Scale, Pittsburgh Sleep Quality Index, and Short Form 36 Questionnaire will serve as secondary outcomes in assessing the amelioration of depressive symptoms in patients. These data will be analyzed using SPSS26.0 software.Results: We will assess the efficacy and safety of IA for MDD using commonly employed clinical psychiatric scales.Conclusion: The efficacy of IA in treating adolescent MDD may be demonstrated in this study, suggesting its potential for optimizing MDD treatment schemes.Trial Registration: ClinicalTrials.gov Identifier: NCT 05832619 (April 27, 2023).Keywords: major depressive disorder, intradermal acupuncture, selective serotonin reuptake inhibitors, adolescent, randomized controlled trial, protocol
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- 2023
27. Development of a $^{83\mathrm{m}}$Kr source for the calibration of the CENNS-10 Liquid Argon Detector
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COHERENT Collaboration, Akimov, D., An, P., Awe, C., Barbeau, P. S., Becker, B., Belov, V., Bernardi, I., Blackston, M. A., Blokland, L., Bolozdynya, A., Cabrera-Palmer, B., Chen, N., Chernyak, D., Conley, E., Daughhetee, J., Coello, M. del Valle, Detwiler, J. A., Durand, M. R., Efremenko, Y., Elliott, S. R., Fabris, L., Febbraro, M., Fox, W., Galindo-Uribarri, A., Rosso, A. Gallo, Green, M. P., Hansen, K. S., Heath, M. R., Hedges, S., Hughes, M., Johnson, T., Khromov, A., Konovalov, A., Kozlova, E., Kumpan, A., Li, L., Librande, J. T., Link, J. M., Liu, J., Mann, K., Markoff, D. M., McGoldrick, O., Mueller, P. E., Newby, J., Parno, D. S., Pentilla, S., Pershey, D., Radford, D., Rapp, R., Ray, H., Raybern, J., Razuvaeva, O., Reyna, D., Rich, G. C., Rudik, D., Runge, J., Salvat, D. J., Scholberg, K., Shakirov, A., Simakov, G., Snow, W. M., Sosnovtsev, V., Suh, B., Tayloe, R., Tellez-Giron-Flores, K., Thornton, R. T., Tolstukhin, I., Vanderwerp, J., Varner, R. L., Venkataraman, R., Virtue, C. J., Visser, G., Wiseman, C., Wongjirad, T., Yang, J., Yen, Y. -R., Yoo, J., Yu, C. -H., and Zettlemoyer, J.
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Physics - Instrumentation and Detectors ,High Energy Physics - Experiment ,Nuclear Experiment - Abstract
We report on the preparation of and calibration measurements with a $^{83\mathrm{m}}$Kr source for the CENNS-10 liquid argon detector. $^{83\mathrm{m}}$Kr atoms generated in the decay of a $^{83}$Rb source were introduced into the detector via injection into the Ar circulation loop. Scintillation light arising from the 9.4 keV and 32.1 keV conversion electrons in the decay of $^{83\mathrm{m}}$Kr in the detector volume were then observed. This calibration source allows the characterization of the low-energy response of the CENNS-10 detector and is applicable to other low-energy-threshold detectors. The energy resolution of the detector was measured to be 9$\%$ at the total $^{83\mathrm{m}}$Kr decay energy of 41.5 keV. We performed an analysis to separately calibrate the detector using the two conversion electrons at 9.4 keV and 32.1 keV, Comment: v2: As accepted to JINST
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- 2020
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28. COHERENT Collaboration data release from the first detection of coherent elastic neutrino-nucleus scattering on argon
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COHERENT Collaboration, Akimov, D., Albert, J. B., An, P., Awe, C., Barbeau, P. S., Becker, B., Belov, V., Blackston, M. A., Blokland, L., Bolozdynya, A., Cabrera-Palmer, B., Chen, N., Chernyak, D., Conley, E., Cooper, R. L., Daughhetee, J., Coello, M. del Valle, Detwiler, J. A., Durand, M. R., Efremenko, Y., Elliott, S. R., Fabris, L., Febbraro, M., Fox, W., Galindo-Uribarri, A., Green, M. P., Hansen, K. S., Heath, M. R., Hedges, S., Hughes, M., Johnson, T., Kaemingk, M., Kaufman, L. J., Khromov, A., Konovalov, A., Kozlova, E., Kumpan, A., Li, L., Librande, J. T., Link, J. M., Liu, J., Mann, K., Markoff, D. M., McGoldrick, O., Moreno, H., Mueller, P. E., Newby, J., Parno, D. S., Penttila, S., Pershey, D., Radford, D., Rapp, R., Ray, H., Raybern, J., Razuvaeva, O., Reyna, D., Rich, G. C., Rudik, D., Runge, J., Salvat, D. J., Scholberg, K., Shakirov, A., Simakov, G., Sinev, G., Snow, W. M., Sosnovtsev, V., Suh, B., Tayloe, R., Tellez-Giron-Flores, K., Thornton, R. T., Tolstukhin, I., Vanderwerp, J., Varner, R. L., Virtue, C. J., Visser, G., Wiseman, C., Wongjirad, T., Yang, J., Yen, Y. -R., Yoo, J., Yu, C. -H., and Zettlemoyer, J.
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Nuclear Experiment ,High Energy Physics - Experiment - Abstract
Release of COHERENT collaboration data from the first detection of coherent elastic neutrino-nucleus scattering (CEvNS) on argon. This release corresponds with the results of "Analysis A" published in Akimov et al., arXiv:2003.10630 [nucl-ex]. Data is shared in a binned, text-based format representing both "signal" and "backgrounds" along with associated uncertainties such that the included data can be used to perform independent analyses. This document describes the contents of the data release as well as guidance on the use of the data. Included example code in C++ (ROOT) and Python show one possible use of the included data., Comment: Update document with arXiv ID number in requested citation
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- 2020
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29. Current-induced magnetization switching in CoTb amorphous single layer
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Zhang, R. Q., Liao, L. Y., Chen, X. Z., Xu, T., Cai, L., Guo, M. H., Bai, Hao, Sun, L., Xue, F. H., Su, J., Wang, X., Wan, C. H., Bai, Hua, Song, Y. X., Chen, R. Y., Chen, N., Jiang, W. J., Kou, X. F., Cai, J. W., Wu, H. Q., Pan, F., and Song, C.
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Condensed Matter - Materials Science - Abstract
We demonstrate spin-orbit torque (SOT) switching of amorphous CoTb single layer films with perpendicular magnetic anisotropy (PMA). The switching sustains even the film thickness is above 10 nm, where the critical switching current density keeps almost constant. Without the need of overcoming the strong interfacial Dzyaloshinskii-Moriya interaction caused by the heavy metal, a quite low assistant field of ~20 Oe is sufficient to realize the fully switching. The SOT effective field decreases and undergoes a sign change with the decrease of the Tb-concentration, implying that a combination of the spin Hall effect from both Co and Tb as well as an asymmetric spin current absorption accounts for the SOT switching mechanism. Our findings would advance the use of magnetic materials with bulk PMA for energy-efficient and thermal-stable non-volatile memories, and add a different dimension for understanding the ordering and asymmetry in amorphous thin films., Comment: 17 pages, 4 figures, Phys. Rev. B 101, 214418 (2020)
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- 2020
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30. First Measurement of Coherent Elastic Neutrino-Nucleus Scattering on Argon
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COHERENT Collaboration, Akimov, D., Albert, J. B., An, P., Awe, C., Barbeau, P. S., Becker, B., Belov, V., Blackston, M. A., Blokland, L., Bolozdynya, A., Cabrera-Palmer, B., Chen, N., Chernyak, D., Conley, E., Cooper, R. L., Daughhetee, J., Coello, M. del Valle, Detwiler, J. A., Durand, M. R., Efremenko, Y., Elliott, S. R., Fabris, L., Febbraro, M., Fox, W., Galindo-Uribarri, A., Green, M. P., Hansen, K. S., Heath, M. R., Hedges, S., Hughes, M., Johnson, T., Kaemingk, M., Kaufman, L. J., Khromov, A., Konovalov, A., Kozlova, E., Kumpan, A., Li, L., Librande, J. T., Link, J. M., Liu, J., Mann, K., Markoff, D. M., McGoldrick, O., Moreno, H., Mueller, P. E., Newby, J., Parno, D. S., Penttila, S., Pershey, D., Radford, D., Rapp, R., Ray, H., Raybern, J., Razuvaeva, O., Reyna, D., Rich, G. C., Rudik, D., Runge, J., Salvat, D. J., Scholberg, K., Shakirov, A., Simakov, G., Sinev, G., Snow, W. M., Sosnovtsev, V., Suh, B., Tayloe, R., Tellez-Giron-Flores, K., Thornton, R. T., Tolstukhin, I., Vanderwerp, J., Varner, R. L., Virtue, C. J., Visser, G., Wiseman, C., Wongjirad, T., Yang, J., Yen, Y. -R., Yoo, J., Yu, C. -H., and Zettlemoyer, J.
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Nuclear Experiment ,High Energy Physics - Experiment - Abstract
We report the first measurement of coherent elastic neutrino-nucleus scattering (\cevns) on argon using a liquid argon detector at the Oak Ridge National Laboratory Spallation Neutron Source. Two independent analyses prefer \cevns over the background-only null hypothesis with greater than $3\sigma$ significance. The measured cross section, averaged over the incident neutrino flux, is (2.2 $\pm$ 0.7) $\times$10$^{-39}$ cm$^2$ -- consistent with the standard model prediction. The neutron-number dependence of this result, together with that from our previous measurement on CsI, confirms the existence of the \cevns process and provides improved constraints on non-standard neutrino interactions., Comment: 8 pages, 5 figures with 2 pages, 6 figures supplementary material V3: fixes to figs 3,4 V4: fix typo in table 1, V5: replaced missing appendix, V6: fix Eq 1, new fig 3, V7 final version, updated with final revisions
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- 2020
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31. Sensitivity of the COHERENT Experiment to Accelerator-Produced Dark Matter
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COHERENT Collaboration, Akimov, D., An, P., Awe, C., Barbeau, P. S., Becker, B., Belov, V., Blackston, M. A., Bolozdynya, A., Cabrera-Palmer, B., Chen, N., Conley, E., Cooper, R. L., Daughhetee, J., Coello, M. del Valle, Detwiler, J. A., Durand, M. R., Efremenko, Y., Elliott, S. R., Fabris, L., Febbraro, M., Fox, W., Galindo-Uribarri, A., Green, M. P., Hansen, K. S., Heath, M. R., Hedges, S., Johnson, T., Kaemingk, M., Kaufman, L. J., Khromov, A., Konovalov, A., Kozlova, E., Kumpan, A., Li, L., Librande, J. T., Link, J. M., Liu, J., Mann, K., Markoff, D. M., Moreno, H., Mueller, P. E., Newby, J., Parno, D. S., Penttila, S., Pershey, D., Radford, D., Rapp, R., Ray, H., Raybern, J., Razuvaeva, O., Reyna, D., Rich, G. C., Rudik, D., Runge, J., Salvat, D. J., Scholberg, K., Shakirov, A., Simakov, G., Sinev, G., Snow, W. M., Sosnovtsev, V., Suh, B., Tayloe, R., Tellez-Giron-Flores, K., Thornton, R. T., Tolstukhin, I., Vanderwerp, J., Varner, R. L., Virtue, C. J., Visser, G., Wiseman, C., Wongjirad, T., Yang, J., Yen, Y. -R., Yoo, J., Yu, C. -H., and Zettlemoyer, J.
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High Energy Physics - Experiment ,Physics - Instrumentation and Detectors - Abstract
The COHERENT experiment is well poised to test sub-GeV dark matter models using low-energy recoil detectors sensitive to coherent elastic neutrino-nucleus scattering (CEvNS) in the $\pi$-DAR neutrino beam produced by the Spallation Neutron Source. We show how a planned 750-kg liquid argon scintillation detector would place leading limits on scalar light dark matter models, over two orders of magnitude of dark matter mass, for dark matter particles produced through vector and leptophobic portals in the absence of other effects beyond the standard model. The characteristic timing structure of a $\pi$-DAR beam allows a unique opportunity for constraining systematic uncertainties on the standard model background in a time window where signal is not expected, enhancing expected sensitivity. Additionally, we discuss future prospects, further increasing the discovery potential of CEvNS detectors. Such methods would test the calculated thermal dark matter abundance for all couplings $\alpha'\leq1$ within the vector portal model over an order of magnitude of dark matter masses.
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- 2019
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32. El Niño-Driven Dry Season Flushing Enhances Dissolved Organic Matter Export From a Subtropical Watershed
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Qu, L, Wu, Y, Li, Y, Stubbins, A, Dahlgren, RA, Chen, N, and Guo, W
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2015 ,El Nino ,sensor ,DOM ,rainstorm events ,flux ,seasonal shunting ,Meteorology & Atmospheric Sciences - Abstract
The 2015/2016 super El Niño event resulted in a positive precipitation anomaly during dry seasons in the Jiulong River watershed, southeast China. Four years (2014–2017) of high frequency, in situ humic-like fluorescent DOM (FDOMH) data in the Jiulong Estuary were coupled with extrapolation to a freshwater end-member FDOMH concentration and river discharge data to estimate riverine FDOMH export. The wetter El Niño dry season was followed by lower FDOMH export during the subsequent wet season. Furthermore, in the dry season after El Niño reached its strongest phase, a 90–187% increase in FDOMH export occurred. If widespread, this pattern suggests El Niño events may enhance export of FDOMH from south China rivers in dry seasons resulting in seasonal and annual shunting of the terrestrial DOM export, modulating coastal carbon cycling. This study highlights the need to incorporate climate-driven regulation patterns on DOM transport across the land-ocean interface.
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- 2020
33. The effects of biodegradable and plastic film mulching on nitrogen uptake, distribution, and leaching in a drip-irrigated sandy field
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Chen, N, Li, X, Šimůnek, J, Shi, H, Ding, Z, and Zhang, Y
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Drip irrigation ,Biodegradable film mulching ,Plastic film mulching ,Nitrate nitrogen ,N-fertilizer application ,Sandy field ,Agronomy & Agriculture ,Environmental Sciences ,Agricultural and Veterinary Sciences ,Studies in Human Society - Abstract
Drip irrigation under plastic film mulching with applications of the N-fertilizer is an excellent agricultural strategy, resulting in saving irrigation water, improving N use efficiency, and increasing crop yield. However, the film residue and nitrate-nitrogen (NO3-N) losses are the leading cause of non-point pollution in agricultural fields. To promote the development of sustainable agriculture, the HYDRUS (2D/3D) model was first calibrated and then validated using experimental data from 2016 and 2017, respectively, collected in the drip-irrigated sandy field with plastic film mulching (PFM), biodegradable film mulching (BFM), and no film mulching (NFM). Additionally, the NO3-N spatial and temporal distributions, uptake, leaching, and use efficiency (NUE) under PFM, BFM, and NFM with 280 kg ha−1 of the N-fertilizer (the local recommendation) were evaluated using both observed and simulated data. These factors were also assessed under BFM with 210 (75 % of the recommended value) and 140 kg ha-1 (50 % of the recommended value) of the N-fertilizer. The results of numerical simulations were in good agreement with observations, with the RMSE, R2, and NSE during verification being 0.01-0.08 mg cm-3, 0.62-0.87, and 0.68-0.94, respectively. When the same amount of the N-fertilizer (280 kg ha−1) was applied in each treatment, there were no apparent differences in NO3-N concentrations in the soil profile, cumulative NO3-N uptake by corn (CNU), and cumulative NO3-N leaching (CNL) in the 100-cm soil depth between the BFM280 and PFM280 scenarios (the subscript indicates the amount of the N-fertilizer) during the early growing season (Day After Sowing [DAS] of 0–78 in 2016 and DAS of 0–92 in 2017). However, CNU and CNL were higher, and the NO3-N concentrations in the upper soil layer (0−40 cm soil layer) lower in these two scenarios than in the NFM280 scenario. The NO3-N concentrations in the topsoil layer (the 0−20 cm soil layer) in the BFM280 scenario were 3.9 % higher than in the PFM280 scenario during DAS 93–154 in 2017 due to the disintegration of the biodegradable film and 26.3 % lower during DAS 79–155 in 2016 because of intensive rainfall. Additionally, the highest NUE (50.9 kg kg-1, the average value for two years) was found when 75 % of the recommended N-fertilizer (210 kg ha−1) was applied. Therefore, an application of 210 kg ha−1 of the N-fertilizer in the BFM scenario can be recommended for sandy farmland to avoid plastic pollution, increase NUE, and effectively promote the development of sustainable agriculture.
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- 2020
34. Multidisciplinary Team (MDT) Discussion Improves Overall Survival Outcomes for Metastatic Renal Cell Carcinoma Patients
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Zeng Y, Zhu S, Wang Z, Chen J, Dai J, Liu Z, Sun G, Liang J, Zhang X, Zhao J, Ni Y, Yang J, Wang M, Wei Q, Li X, Chen N, Li Z, Wang X, Shen Y, Yao J, Huang R, Liu J, Cai D, Zeng H, and Shen P
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mrcc ,mdt ,overall survival ,prognosis ,ccrcc ,non-ccrcc ,multi-line treatment ,Medicine (General) ,R5-920 - Abstract
Yuhao Zeng,1,* Sha Zhu,1,* Zilin Wang,1 Junru Chen,1 Jindong Dai,1 Zhenhua Liu,1 Guangxi Sun,1 Jiayu Liang,1 Xingming Zhang,1 Zhipeng Wang,1 Jinge Zhao,1 Yuchao Ni,1 Jiyu Yang,1 Minghao Wang,1 Qiang Wei,1 Xiang Li,1 Ni Chen,2 Zhiping Li,3 Xin Wang,3 Yali Shen,3 Jin Yao,4 Rui Huang,5 Jiyan Liu,6 Diming Cai,7 Hao Zeng,1 Pengfei Shen1 1Department of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 2Department of Pathology, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 3Department of Oncology, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 4Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 5Department of Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 6Department of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 7Department of Medical Ultrasound, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China*These authors contributed equally to this workCorrespondence: Pengfei Shen; Hao Zeng, Department of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People’s Republic of China, Email cdhx510@163.com; kucaizeng@163.comPurpose: Multidisciplinary team (MDT) discussion is a widely used model to manage patients diagnosed with cancer. However, there has been no direct evidence to prove its effect on the prognosis of metastatic renal cell carcinoma (mRCC) patients, so this study explored the impact of MDT discussion on mRCC patient survival.Methods: The clinical data of 269 mRCC patients were retrospectively collected from 2012 to 2021. The cases were grouped into the MDT and non-MDT groups, then subgroup analysis was performed according to different histology types, as well as exploring the role of MDT in patients who have undergone multiple-line therapy. Overall survival (OS) and progression free survival (PFS) were set as the study endpoint.Results: Approximately half (48.0%, 129/269) of the patients were in the MDT group, with univariable survival analyses showing these patients had remarkably longer median OS (MDT group: 73.7 months; non-MDT group: 33.2 months, hazard ratio (HR): 0.423 (0.288, 0.622), p< 0.001) and longer median PFS (MDT group: 16.9 months, non-MDT group: 12.7 months, HR: 0.722 (0.542, 0.962), p=0.026). Furthermore, MDT management resulted in longer survival for both ccRCC and non-ccRCC subgroups. Patients in the MDT group were more likely to receive multi-line therapy (MDT group: 79/129, 61.2% vs non-MDT group: 56/140, 40.0%, p< 0.001), and within this patient group, MDT management still resulted in longer OS (MDT group: 94.0 months; non-MDT group: 43.5 months, p=0.009).Conclusion: MDT is associated with prolonged overall survival in mRCC independent of histology, ensuring that patients receive better management and precise treatment.Keywords: mRCC, MDT, overall survival, prognosis, ccRCC, non-ccRCC, multi-line treatment
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- 2023
35. Association of Plasma Sex-Related Hormones Levels with Bone Mineral Densities and Risk of Osteoporosis and Osteopenia in Men and Menopausal Women with Type 2 Diabetes Mellitus
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Lu W, Zheng S, Zhou J, Huang S, Chen N, and Li Z
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estradiol ,bone mineral density ,osteoporosis ,osteopenia ,diabetes ,Specialties of internal medicine ,RC581-951 - Abstract
Weihong Lu,1,2 Silan Zheng,3 Jingqi Zhou,3 Shunfa Huang,4 Ning Chen,3 Zhibin Li5 1Department of Gynecology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, People’s Republic of China; 2Xiamen Clinical Research Center for Cancer Therapy, Xiamen, People’s Republic of China; 3Department of Endocrinology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, People’s Republic of China; 4Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, People’s Republic of China; 5Epidemiology Research Unit, Translational Medicine Research Center, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, People’s Republic of ChinaCorrespondence: Ning Chen, Department of Endocrinology, Zhongshan Hospital (Xiamen), Fudan University, No. 668 Jinhu Road, Xiamen, 361000, People’s Republic of China, Tel/Fax +86-0592-3569583, Email chen.ning@zsxmhospital.com Zhibin Li, Epidemiology Research Unit, Translational Medicine Research Center, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, No. 55 Zhenhai Road, Xiamen, 361003, People’s Republic of China, Tel +86-592-2137364, Fax +86-592-2137557, Email zhibinli33@hotmail.comObjective: This study aimed to examine associations between plasma sex-related hormones with bone mineral density (BMD) and risks of osteoporosis or osteopenia in men and postmenopausal women patients with type 2 diabetes mellitus (T2DM).Methods: Baseline information on an ongoing cohort of 149 men and 102 postmenopausal women with T2DM in Xiamen, China were analyzed. Plasma estradiol (E2), total testosterone (T), follicle-stimulating hormone (FSH), luteinizing hormone (LH) and prolactin (PRL) were measured. BMD of lumbar spine (L2-4), femoral neck (FN) and total hip (TH) were determined by dual-energy X-ray absorptiometry (DXA). Osteoporosis or osteopenia was defined as the minimum T-scores of BMD of these three different sites of − 1.0 or below.Results: T2DM patients with osteoporosis/osteopenia (66.4% in men and 79.4% in postmenopausal women), compared to those without, showed significantly decreased level of E2 (75.3± 28.9 vs. 107.8± 25.9pmol/L and 18.4 (18.4– 29.5) vs. 22.8 (18.4– 40.5) pmol/L for men and postmenopausal women, respectively, both p-values < 0.05), but not other sex-related hormones (including T, FSH, LH, or PRL). For all T2DM patients together and men separately, multivariable linear regression and logistic regression analyses showed that higher E2 levels were significantly associated with higher BMD T-scores in L2-4, FN, TH and minimum of these three different sites, lower 10-year probability of major osteoporotic fractures (MOF) and hip fractures (HFs) estimated by Fracture Risk Assessment Tool score, as well as decreased risk of osteoporosis/osteopenia. As for postmenopausal women T2DM patients, E2 level was positively associated with BMD T-scores in L2-4 and minimum of three different sites but was not independently associated with risk of osteoporosis/osteopenia.Conclusion: Higher plasma E2 was significantly associated with increased BMD and lower risk of osteoporosis or osteopenia in T2DM patients, especially for men. Screening of BMD and estradiol levels as well as evaluating risks of osteoporosis/osteopenia are important for T2DM patients.Keywords: estradiol, bone mineral density, osteoporosis, osteopenia, diabetes, BMD
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- 2023
36. The Role of the Pharmacist in Combating the Opioid Crisis: An Update
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Kosobuski L, O'Donnell C, Koh-Knox Sharp CP, Chen N, and Palombi L
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pharmacist ,pharmacy ,opioid ,overdose ,pharmacy practice ,Public aspects of medicine ,RA1-1270 - Abstract
Lucas Kosobuski,1 Carolyn O’Donnell,1 Cynthia P Koh-Knox Sharp,2 Nathaniel Chen,1 Laura Palombi1 1Pharmacy Practice and Pharmaceutical Sciences, University of Minnesota - College of Pharmacy, Duluth, MN, USA; 2Purdue University College of Pharmacy, West Lafayette, IN, USACorrespondence: Laura Palombi, Pharmacy Practice and Pharmaceutical Sciences, University of Minnesota – College of Pharmacy, 1110 Kirby Drive, 232 Life Science, Duluth, MN, 55812, USA, Tel +1 218-726-6000, Fax +1 218-726-6500, Email lpalombi@d.umn.eduIntroduction: The opioid overdose crisis has claimed hundreds of thousands of lives in the United States in the last decade, with overdose numbers continuing to climb. At the same time, the role of the pharmacist in combating the opioid crisis continues to evolve.Methods: A literature search was conducted in Ovid MEDLINE that incorporated both MeSH terms and keywords to describe two concepts: the opioid epidemic and pharmacists/pharmacies. The search was limited to articles published after 2010 through the end of 2021 and returned 196 articles that were analyzed thematically.Results: Thematic analysis revealed the following themes: prevention, interventions, public health role of the pharmacist, pharmacists in multiple roles, barriers, pharmacist and healthcare provider attitudes, educational initiatives for pharmacists and student pharmacists, and future research.Discussion: While a great deal of progress has been made in the role of the pharmacist in supporting individuals with opioid use disorder (OUD) in the last two decades, pharmacists must seek to invest time and resources into practices with a strong evidence base to better mitigate the growing, devastating impact of the opioid crisis. Pharmacists must be willing to embrace new and non-traditional roles in patient care, service and research, and seek to advance evidence-based knowledge and practice.Conclusion: Pharmacy practice has expanded greatly in the past decade with pharmacists taking on new and creative approaches to addressing the opioid crisis. Collaborative and interdisciplinary approaches to addressing the root causes of opioid misuse and opioid overdose are still desperately needed. These include attention to the critical roles of social determinants of health, stigma elimination, legislative advocacy for patients with OUD, and focused education for providers, pharmacists, and the community. Recognition and support of the value of collaboration to both improve public health and individual patient care, continued investments in pharmacy practice advancement in OUD treatment and harm reduction, and the creation of workflows and prescribing algorithms to assist in dosing medications to prevent withdrawal symptoms and achieve improved pain control are desperately needed.Keywords: pharmacist, pharmacy, opioid, overdose, pharmacy practice
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- 2022
37. Research on the Professional Mentality of Hengdian Drifter’s
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Jing H, Li X, Chen N, Oubibi M, Mao X, and Di W
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chinese hengdian drifters ,professional mentality ,industry dilemma ,digital management. ,Psychology ,BF1-990 ,Industrial psychology ,HF5548.7-5548.85 - Abstract
Hui Jing,1 Xinyi Li,1 Naiqi Chen,1,2 Mohamed Oubibi,1,3 Xinyi Mao,1 Weifeng Di1,3 1College of Teacher Education, College of Education and Human Development, Zhejiang Normal University, Jinhua, People’s Republic of China; 2College of Innovation and Entrepreneurship, Zhejiang Normal University, Jinhua, People’s Republic of China; 3Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, People’s Republic of ChinaCorrespondence: Weifeng Di, Email diwf@zjnu.cnBackground: Hengdian drifters refer to outsiders who participate in shooting film and television dramas in Hengdian. It is a special group. Single access to information, precarious nature of work, unequal treatment of gender, constraints on development, and inadequate guarantee mechanisms are all to blame.Purpose: This paper proposes to improve the ecology of the different actor industries by implementing a precise assessme.Patients and methods: This study combines qualitative and quantitative research, adopts the questionnaire survey and semi-structured interview, and carries out fieldwork by personally experiencing the life of extras to study the ecological environment of the different actor industries and the professional mentality of extras. Before participating in the study, every participant would be offered an Informed Consent Form and all particpants were guaranteed anonymity and their response will be used for a specific academic study. The Ethics Committee of the Zhejiang Normal University’s, Specific academic study that will be published online. College of Teacher Education approved the study and participation of concents under 18 and the study followed the Declaration of Helsinki.Results: There are gaps in social support.Little relevant policy support and financial support have not been implemented. Industry assessment criteria are not standardized.The level of digital management is low.It is difficult to guarantee the rights of mass actors.Conclusion: Implement a precise assessment system,develop a refined talent evaluation mechanism,Ensure the accuracy and transparency of the evaluation process.Establish digital service platforms,provide a new channel for the employment of artistic talents.Strengthen media publicity,strengthen policy support,raise social awareness.Keywords: Chinese Hengdian drifters, professional mentality, industry dilemma, digital management
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- 2022
38. Molecular Epidemiology, Clinical Characteristics and Risk Factors for Bloodstream Infection of Multidrug-Resistant Klebsiella pneumoniae Infections in Pediatric Patients from Tianjin, China
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Hou M, Chen N, Dong L, Fang Y, Pan R, Wang W, Wang L, Ning J, and Dong H
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carbapenem-resistant klebsiella pneumonia ,blakpc-2 ,blandm-5 ,st11 ,children ,bloodstream infection ,Infectious and parasitic diseases ,RC109-216 - Abstract
Mengzhu Hou,1,* Nan Chen,2,* Lili Dong,3,* Yulian Fang,1 Rui Pan,2 Wei Wang,1 Lu Wang,1 Jing Ning,3 Hanquan Dong3 1Tianjin Pediatric Research Institute, Tianjin Children’s Hospital (Children’s Hospital of Tianjin University), Tianjin, People’s Republic of China; 2Department of Clinical Lab, Tianjin Children’s Hospital (Children’s Hospital of Tianjin University), Tianjin, People’s Republic of China; 3Department of Respiratory, Tianjin Children’s Hospital (Children’s Hospital of Tianjin University), Tianjin, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jing Ning; Hanquan Dong, Department of Respiratory, Tianjin Children’s Hospital (Children’s Hospital of Tianjin University), No. 238 Longyan Road, Beichen District, Tianjin, 300134, People’s Republic of China, Tel +86 13752230008 ; +86 13820476506, Email jingning2022@126.com; mifits@sina.comPurpose: The data on pediatrics with Multidrug-Resistant (MDR) Klebsiella pneumoniae infections are scarce. This study aims to investigate the molecular epidemiology of MDR Klebsiella pneumoniae, detect the mechanism of drug resistance, and determine the clinical risk factors for carbapenem-resistant Klebsiella pneumonia (CRKP) bloodstream infections (BSIs) in a children’s hospital.Methods: A total of 62 strains were collected from Tianjin Children’s Hospital. Carba NP and polymerase chain reactions (PCR) were performed to detect MDR mechanisms. Multilocus sequence typing (MLST) was used for analyzing strain homology. Clinical data were collected and logistic regression was used for BSI risk factors.Results: ST11 was the principal ST among the CRKP isolates clinically, accounting for 56.45% (35/62); there were also 57.14% (20/35) ST11 CRKP strains co-carrying blaNDM-5 and blaKPC-2, which were resistant to most of the tested antibiotics, being susceptible only to cotrimoxazole and tigecycline. The clinical data showed that 72.73% (40/55) of children with CRKP infection had serious underlying diseases; 20.00% (11/55) patients developed BSIs with the potential to cause multiple organ failure, shock and death. The logistic regression showed that the risk of BSIs caused by CRKP strain infections in children with hematological malignancies after chemotherapy was 7 times that of other children (95%Cl: 1.298– 45.415, P=0.025).Conclusion: ST11 was the prevalent clone in our hospital. The emergence of ST11 CRKP co-carrying blaNDM-5 and blaKPC-2 should be a cause for alarm as they were resistant to most of the tested antibiotics. CRKP strain infections are mainly occurring in young immunocompromised patients and the chemotherapy for hematological malignancies is an independent risk factor for BSIs.Keywords: carbapenem-resistantKlebsiella pneumonia, blaKPC-2, blaNDM-5, ST11, children, bloodstream infection
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- 2022
39. Underwater hybrid energy harvesting based on TENG-MTEG for self-powered marine mammal condition monitoring system
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Liu, C., Qu, G., Shan, B., Aranda, R., Chen, N., Li, H., Zhou, Z., Yu, T., Wang, C., Mi, J., and Xu, M.
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- 2023
- Full Text
- View/download PDF
40. Access to and quality of elective care: a prospective cohort study using hernia surgery as a tracer condition in 83 countries
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Donmez, A, Goswami, A, Raheja, A, Bhadani, A, El Kady, A, Alniemi, A, Awad, A, Aladl, A, Younis, A, Alwali, A, Khalil, A, Mansour, A, Elkhouly, A, Rashad Temerik, A, Hasan, A, Chied, A, Abdraba, A, Hrora, A, Abdelshafi, A, Maraqa, A, Ghaffar, A, Chekfa, A, Al Balushi, A, Quddus, A, Hammadieh, A, Muntaka, A, Asekun, A, Alshahrani, A, Jowharji, A, Alshukre, A, Khair Etareig, A, Abubakar Abdulkarim, A, Ashiru, A, Alailesh, A, Al-Mallah, A, Baydoun, A, Chaudhry, A, Askin, A, Almutairi, A, Belkhair, A, Abdllah, A, Alhammali, A, Basalim, A, Abouelnagah, A, Ghazal, A, Mohammed, A, Qasem, A, Anadani, A, Jimoh, A, Lawal, A, Khaity, A, Elzoubi, A, Sheshe, A, Cetisli, A, Oyedele, A, Aljahdali, A, Aboelnasr, A, Demessie, A, Bhargava, A, Sonkar, A, Bavaharan, A, Khan, A, Campbell, A, Oyelekan, A, Okunlola, A, Ojewuyi, A, Ekerin, A, Saleh, A, Khairy, A, Muthunayagam, A, Botha, A, Teshome Sahilemariam, A, Nawawi, A, Muhammad, A, Dahiru, A, Yahaya, A, Abdelmalik, A, Anuar, A, Ousseini, A, Leon -Del- Angel, A, Frankel, A, Gyedu, A, Lim, A, Lukac, A, Peckham-Cooper, A, Sabbah, A, Varga, A, Sanou, A, Issaka, A, Ningi, A, Yeshitila, A, Yingess, A, Olugbami, A, Damola-Okesiji, A, Ojo, A, Hashmi, A, Fakoya, A, Ishola, A, Abiodun, A, Ajayi, A, Mouffokes, A, Bonelli, A, Adekoya, A, Akeem Aderogba, A, Ozcan, A, Ayoade, A, Adeyeye, A, Agbaje, A, Talabi, A, Ademuyiwa, A, Adewumiya, A, Aderounmu, A, Adisa, A, Oke, A, Ragab, A, Alzadjali, A, Baksi, A, Jayapalan, A, Md Yunos, A, Pisanu, A, Salazar, A, Salinas Barragan, A, Fox, A, Stollberg, A, Franco, A, Neves, A, Vricheva, A, Hodonou, A, Aghayeva, A, Liaquat, A, Alsultan, A, Morad, A, Kalidis, A, Gkouniaroudi, A, Karakosta, A, Lovi, A, Yevide, A, Duro, A, Rodriguez Gonzalez, A, Tariq, A, Abaidalla, A, Abuhammad, A, Abuhantash, A, Ahmad Zaidi, A, Alahmad Alismael, A, Alayed, A, Alfarwan, A, Alhaj, A, Ali, A, Alroobi, A, Alsheikh, A, Alusef, A, Alzu'Bi, A, Kayali, A, Bouhuwaish, A, Doghaim, A, El-Sherbiney, A, Ramly, A, Raza, A, Qureshi, A, Arnaout, A, Abdelhamid, A, Abuthaher, A, Adel, A, Ahmayda, A, Al-Mouahhed, A, Alagha, A, Albalawi, A, Albhaisi, A, Alrifaee, A, Azam, A, Barakat, A, Al-Hajjaj, A, Dawoud, A, El Shamarka, A, El-Bastwesy, A, Elghrieb, A, Elkhalifa, A, Elmosalamy, A, Elshazli Mahmoud, A, Montaser, A, Gbeadese, A, Haty, A, K. Ali, A, Kedwany, A, Khalleefah, A, Abbas, A, Allam, A, Maher, A, Elsayed, A, Mohamed Ibrahim Mohamed, A, Mostafa, A, Nabil, A, Nada, A, Ragheb, A, Abdelrahman, A, Sabry, A, Sakr, A, Elkhodary, A, Shaheen, A, Ammar, A, Hameed, A, Akmercan, A, Aslan, A, Barcin, A, Ciftci, A, Bozkurt, A, Sari, A, Yasar, A, Develioglu, A, Ozturk, A, Sanli, A, Rencuzogullari, A, Yildiz, A, Kaan, A, Toi, A, Aljamoudi, A, Cheung, A, Gkoutoula, A, Kalogeropoulou, A, Sarafi, A, Abo Al Shamat, A, Sanon, A, Hiller, A, Costas-Chavarri, A, Lombardero, A, Fraile, A, Bojazyah, A, Kamal, A, Gill, A, Hada, A, Gulla, A, Maciulaityte, A, Sukumar, A, Landaluce-Olavarria, A, Sainz Lete, A, Pal, A, Malik, A, Horiguchi, A, Kocaay, A, Akinkuolie, A, Olabode, A, Fadipe, A, Akinmade, A, Darkwa Boateng, A, Appiah-Kubi, A, Alkaseek, A, Kadamani Abiyomaa, A, Anand, A, Oppong, A, Opoku-Agyapong, A, Asharaf, A, Ahmed, A, Andani, A, Alkharusi, A, Abd Elsattar, A, Alragheai, A, Alsalahat, A, Hawarah, A, Aldirani, A, Shabkah, A, Nixon Fulli, A, Nguyen, A, Mustafa, A, Joseph, A, Huws, A, Aregawi, A, Sanchez Gallego, A, Torroella, A, Vazquez Melero, A, Dauksa, A, Abreu Da Silva, A, Brun-Peressut, A, Barranquero, A, Gegundez Simon, A, Gerundo, A, Navarrete-Peon, A, Viacava, A, Vilar, A, Adam, A, Jarimba, A, Johnson, A, Nunez Venzor, A, Gonzalez Ojeda, A, Romero De Diego, A, Karamarkovic, A, Butyrskii, A, Edmundson, A, Sidorova, A, Thomas, A, Tomazic, A, Giuliani, A, Iodice, A, Marano, A, Marello, A, Ongaro, A, Saba, A, Anastasi, A, Borello, A, Broglia, A, Carta, A, Finocchio, A, Francia, A, Iacomino, A, Izzo, A, Ottaiano, A, Spaziani, A, Strumia, A, Biancafarina, A, D'Ignazio, A, Davolio, A, Morello, A, Licciardello, A, Mazzoni, A, Wilkins, A, Arekhandia, A, Barlas, A, Chamzin, A, Demetriou, A, Giakoustidis, A, Kozadinos, A, Kyriakidis, A, Sarakatsanos, A, Rojas, A, Saridaki, A, Litchinko, A, Arnaud, A, Binder, A, Yakubu, A, Kavalakat, A, Shamsutdinova, A, Alberico, A, Amendola, A, Sanchez-Teran, A, Lapergola, A, Baiden Amissah, A, Konigsrainer, A, Twumasi, A, Alhebshi, A, Abdul Rahman, A, Abidali, A, Abu Tair, A, Ahmad, A, Al Mukhtar, A, Sharq, A, Alloush, A, Amaigl, A, Kheirkhah Vakilabad, A, Bassma, A, Hacioglu, A, Elzanaty, A, Fani, A, Farsi, A, Ghummied, A, Hajali, A, Al Sharqi, A, Hammed, A, Hewari, A, Isler, A, Marouf, A, Uysal, A, Murtada, A, Syed, A, Ozkomec, A, Sapmaz, A, Wassouf, A, Aldurssi, A, Polatbekov, A, Caltagirone, A, Gori, A, Bhatt, A, Maxwell, A, Kiyabayev, A, Eltayeb, A, Khamees, A, Abdalla, A, Pikarsky, A, Trigos Diaz, A, A Elhars, A, Alhaj Zain, A, Eltahir, A, Robin Valle De Lersundi, A, Sanad, A, Abdalhadi, A, Sparke, A, Maqsood-Shah, A, Ouachhou, A, Kezze, A, Dawson, A, Mohsen, A, Brar, A, Dembele, A, Tansawet, A, Obbeng, A, Chiappini, A, Davis, A, Awidan, A, Tibude, A, Shah, A, Hilder, A, Huremovic, A, Alamin, A, Egdeer, A, Gharib, A, Choudhary, A, Amin, A, Ibrahim Hassan, A, Rashid, A, Patel, A, Sebai, A, Asla, A, Ghanbari, A, Shweiki, A, Tursunovic, A, Aboshosha, A, Elbalal, A, Abdelhalim, A, Gupta, A, Sinha, A, Al-Fandi, A, Awwad, A, Belaid, A, Khatib, A, Al-Zubeidy, A, Niazi, A, Zamareh, A, Salam, A, Ayodele, A, Al Hammoud, A, Khouli, A, Crowe, A, Surkitt, A, Alshiteewi, A, Alvarez Cuinas, A, Cabral, A, Dupont, A, Faustino, A, Carreira-Marques, A, Preto Barreira, A, Minaya Bravo, A, Pinheiro Pereira, A, Minaya-Bravo, A, Lourenco, A, Mateus Loureiro, A, Sanchez Gollarte, A, Tvaladze, A, Veira, A, Perja, A, Dusabimana, A, Herewini, A, Fatima, A, Zafar, A, Bangar, A, Kutma, A, Mehta, A, Alqerem, A, Jaber, A, Mourtzouni, A, Theochari, A, Zarafidou, A, Smyrnis, A, Tsechpenakis, A, Zakaria, A, Cardoso Almeida, A, Pita, A, Torbey, A, Abreu, A, Barberis, A, Bartalini Cinughi De Pazzi, A, Belli, A, Sironi, A, Damigella, A, Manetti, A, Mingoli, A, Natili, A, Police, A, Razzore, A, Scacchi, A, Vazquez Fernandez, A, Luzzi, A, Brosin, A, Efstathiou, A, Kirschniak, A, Panagakis, A, Pilavas, A, Scheiwiller, A, Skarpas, A, Chitul, A, Trif, A, Ferreira, A, Silva, A, Subocius, A, Cembellin, A, Garcia Marin, A, Ang, A, Gray, A, Li, A, Skreka, A, Abdul Rahim, A, Bhangu, A, Moncy, A, Mwanjoka, A, Fernandez Camunas, A, De Jesus Gil, A, Molero, A, Sultana, A, Suarez Alvarez, A, Nava Franco, A, Autiak Ayii Chol, A, Serao, A, Nikolaou, A, Hassanin, A, Evans, A, Vu, A, Lala, A, Luther, A, Sundaram, A, Cerovac, A, Abgeko, A, Agbeko, A, Sharma, A, Jain, A, Attili, A, Alecci, A, D'Amore, A, Domenech Plana, A, Gut, A, John, A, Lareida, A, Pesce, A, Paspala, A, Sharp, A, Victor, A, Comandatore, A, Olsen, A, Yiallourou, A, Loizou, A, Asare Twumasi, A, Davor, A, Tabiim, A, Lin, A, Szpytko, A, Walfor, A, Oosterkamp, A, Kachi, A, Khoneisser, A, Bediako Bowan, A, Sumbaev, A, Deserra, A, Punzengruber, A, Thanasa, A, Azzinnaro, A, Castaldi, A, Curado Soriano, A, Garcia Dominguez, A, Lai, A, Martinez German, A, Masciandaro, A, Miele, A, Ramirez Beas, A, Ramos Bonilla, A, Ramos-De la Medina, A, Zerbinati, A, Athanasiou, A, Panagidis, A, Vezakis, A, Boynes, A, Mishra, A, Singh, A, Appukuttan, A, Alhamadi, A, Gusibat, A, Seidu, A, Fuertes Munoz, A, Shanker, A, Balta, A, Panagopoulos, A, Roslani, A, Tahir, A, Hernandez, A, Roumieh, A, Pinto, A, Khanduri, A, Isik, A, Dhinakar, A, Ioannidis, A, Tsiaka, A, Balconi, A, Petrungaro, A, Narin, A, Plastiras, A, Papadopoulos, A, Kontokostopoulos, A, Bang, A, Nikitaras, A, Akiba, A, Jindal, A, Bedzhanyan, A, Fajardo, A, Antinori, A, Galvan, A, Belarmino, A, Mathew, A, Pillai, A, Alrababah, A, Shoker, A, Hai, A, Bhatti, A, Nair, A, Prasath S V, A, Krishna, A, Abdulnabi, A, Aboumedian, A, Faisal, A, Haidar, A, J, A, Choudhry, A, Albager, A, Jha, A, Chhabra, A, Choudhrie, A, Kumar, A, Tirkey, A, Oommen, A, Al-Bahla, A, Bakri, A, Maghrabi, A, Mahendran, A, Das, A, Eisa, A, Comella, A, Shanmugalingam, A, Boztas Demir, A, Zubillaga-Mares, A, Altawaiha, A, Mitsala, A, Katsiou, A, Bakalis, A, Marinis, A, Migdanis, A, Soumpasis, A, Syllaios, A, Tampakis, A, Cakmak, A, Rahman, A, Suroy, A, L'Hostis, A, Parseliunas, A, Rakotondrainibe, A, Goliath, A, Arustamyan, A, Sukhdev Jadhav, A, Chaudhary, A, Denz, A, Al Kaddah, A, Alaqtash, A, Ehab, A, Essamei, A, Kelzia, A, Farrag, A, Myintmo, A, Bibi, A, Iqbal, A, Irshad, A, Sinjab, A, Izgis, A, Almugaddami, A, Albatanony, A, Ayeni, A, Williams, A, Abunemer, A, Benmansour, A, Nidali, A, Vig, A, Emran, A, Ekpeti, A, Janjua, A, Fathi, A, Alzahrani, A, Rehmani, B, Ayoade, B, Mustapha, B, L, B, Alsharari, B, Balaravi Pillai, B, Balagobi, B, Mohamad, B, Ibrahim, B, Ali, B, Alqahtani, B, Paul, B, Yigit, B, Reverien, B, Dweik, B, Yacoub, B, Alzoubi, B, Chkir, B, M. J. Alhaj, B, Binda, B, Carvalho, B, Demurtas, B, Dieck, B, Freire, B, Gama, B, Habrat, B, Tinoco, B, Hernandez Cervantes, B, East, B, Maguire, B, Mckay, B, Zaczek, B, Dawud, B, Allbakosh, B, Yunusa, B, Aminu, B, Ibi, B, D'Souza, B, Alazabi, B, Algettawi, B, Sharaf Eldin, B, Hameed, B, Abboud, B, Al Soudi, B, Fahmy, B, Ranjous, B, Bereket Araya, B, Eyduran, B, Alsaid, B, Guerra, B, Markowska, B, De Zolt Ponte, B, Robertson-Jones, B, Sperotto, B, Cordeiro, B, Cuneo, B, De Andres-Asenjo, B, Louro, B, Estraviz, B, Khan, B, Abdennour, B, Calcano, B, Kigwe, B, Boakye, B, Agca, B, Togay, B, Esposito, B, Chiman, B, Lulham-Robinson, B, Martin, B, Peter, B, Ozcan, B, Seshie, B, Maanikuu, B, Lopes Patricio, B, Khattab, B, Johnson, B, Mcdermott, B, Neall, B, Wang, B, Roopavathan, A, Fosh, B, Sarang, B, Sv, B, R Budihal, B, Devkaran, B, Van Zyl, B, Kharga, B, Al-Sarireh, B, Duman, B, Baca, B, Down, B, Mengesha, B, Owusu Ansah, B, Radja, B, Sime, B, Capdevila Vilaro, B, Izedomi, B, Hao, B, Nimako, B, Phakathi, B, Sehgal, B, Cakpo, B, Alrayes, B, Mao, B, Bogdan-Gabriel, B, Bengaly, B, Williams, B, Cismasiu, B, Helou, B, Davies, B, Arya, B, Cirillo, B, Nardo, B, Pinto, B, Scotto, B, Vieira, B, Kadir, B, Albaihani, B, Calik, B, Citgez, B, Celik, B, Azhar, B, Alshaikh, B, Kum, B, Killoran, C, Nwachukwu, C, Hidalgo Salinas, C, Brasset, C, Bertoglio, C, Vasquez Maya, C, Zapata Syro, C, Akgun, C, Yurttas, C, Semeraro, C, Lategan, C, Boven, C, Uwakunda, C, Leal Ferrandis, C, Margiani, C, Piras, C, Samojeden, C, Vitiello, C, Feo, C, Boto, C, Roman Ortega, C, Ferreras Garcia, C, Figueiredo, C, Garcia-Salas, C, Gonzalez, C, Gonzalez Baez, C, Gracia-Roche, C, Guijarro Moreno, C, Hernandez Diaz, C, Ferrero, C, Perez Rivera, C, Jezieniecki, C, Perez - Padron, C, Leon-Espinoza, C, Nuno-Guzman, C, Macedo Cardoso De Oliveira, C, Shiraishi Zapata, C, Yanowsky-Gonzalez, C, Sorrentino, C, Tung, C, Cardoso, C, Chavarria Noya, C, Coutinho, C, Korzin, C, Maya, C, Moreno-Licea, C, Panis, C, Righetti, C, Silva, C, Soares-Aquino, C, Golliez, C, Chiam, C, Kamphues, C, Rahantasoa Finaritra, C, Assis, C, Henriques, C, Quintela, C, Rio Ferreira, C, Rolo Santos, C, Rodrigues, C, Allmer, C, Bradshaw, C, Rukundo, C, Seneza, C, Raphael, C, Guldogan, C, Bilir, C, Hacialioglu, C, Ersavas, C, Ozkan, C, Huaroto Landeo, C, Ginesta, C, Infante, C, Pastas, C, Ciubotaru, C, Narayan, C, Mahakalkar, C, Floros, C, Demiri, C, Chatzinikolaou, C, Dempers, C, Ansah Larbi, C, Banka, C, Cini, C, Dally, C, Doku, C, Ntow-Boahen, C, Nicholson, C, Cornwell, C, Stennard, C, Lionel, C, Azmat, C, Nyampinga, C, Tandup, C, Agarwal, C, Parmar, C, Pun, C, Un, C, Baars, C, Celano, C, Fumagalli, C, Marafante, C, Zandonella, C, Nwanmah, C, Osuigwe, C, Nwokoro, C, Nwosu, C, Lim, C, Onyeka, C, Uche, C, Jamieson-Grigg, C, Ong, C, Alphonse, C, Bode, C, Varghese, C, Carrillo Sarango, C, Esteo Verdu, C, Krautz, C, Mosca, C, Nimbona, C, Nikolaou, C, Wiesner, C, Kloppers, C, Kourouniotis, C, Seiler, C, Knee, C, Mpirimbanyi, C, Aboah, C, Amah, C, Cheong, C, Harmston, C, Leung, C, Seet, C, Smart, C, Chouliaras, C, Damaskos, C, Doudakmanis, C, Kaselas, C, Limas, C, Ntagkas, C, Papazacharias, C, Stefanou, C, Thrasyvoulou, C, Tsalikidis, C, Karagianni, C, Kolla, C, Ugwunne, C, Ilo, C, Nwegbu, C, Onwuzu, C, Weadick, C, De Martino, C, Donohoe, C, Gutierrez De La Rosa, C, Florian Villa, C, Petcu, C, Cecconi, C, Banal, C, Brandi, C, Hossu, C, Onuoha, C, Osime, C, Shelton, C, Fuentes Orozco, C, Adumah, C, Dina, C, Nastos, C, Aguero, C, Markin, C, Hoogerboord, C, Da Lio, C, Saviello, C, Bezede, C, Distefano, C, Elliot-Wilson, C, Bokossa, C, Lupercio Figueroa, C, Riboni, C, Meola, C, Costa, C, Gas, C, Larotonda, C, Soddu, C, Vacca, C, Vera Mansilla, C, Li, C, Agbonrofo, C, Akli-Nartey, C, Molewa, C, Nelly Rosine, C, Rega, D, Koike, D, Wickramasinghe, D, Clarke, D, Fry, D, Hannedige, D, Powell, D, Kasasbeh, D, Samardali, D, Sharl Ajami, D, Badran, D, Adjei, D, Muhie, D, Perez Munoz, D, Alifoe, D, Aparicio-Lopez, D, Banos Mendez, D, Cristian, D, Eaton, D, Gero, D, Makary, D, Montwedi, D, Munoz, D, Patterson, D, Reim, D, Agbley, D, Patino Garcia, D, Di Pietrantonio, D, Pais, D, Rosado, D, Tavares, D, Alberti, D, Fusario, D, Massaro, D, Paglione, D, Pironi, D, Kurochka, D, Centonze, D, Hackner, D, Herrera, D, Amangaliyev, D, Silva-Cano, D, Chaudhry, D, Palmisano, D, Ribero, D, Vukosav, D, Misca, D, Lowen, D, Rattray, D, Walia, D, Maan, D, Muyenzi, D, Verdi, D, Bardsley, D, Reyes Rodriguez, D, Fra Corral, D, Garcia Lopez De Goicoechea, D, Gavit, D, Gomez, D, Idowu, D, Konkin, D, Labadah, D, Liu, D, Merlini, D, Mitchell, D, Moro-Valdezate, D, Osifo, D, Proud, D, Ridder, D, Gobatti, D, Muschitiello, D, Pertile, D, Zulian, D, Mengiste, D, Mikami, D, Mohanty, D, Chatterjee, D, Komolafe, D, Scotto Di Carlo, D, Wright, D, Rahme, D, Talreja, D, Jain, D, Rajput, D, Singh, D, Anbu, D, Ibrahim, D, Phom, D, Hili, D, Osei, D, Daary, D, Kyeremeh, D, Shen, D, Uymaz, D, Cianflocca, D, Ashitey, D, Evripidou, D, Papageorgouli, D, Kaushal, D, Abeysirigunawardana, D, Dugar, D, Mallik, D, Ghosh, D, Houmran, D, Abdulrahman, D, Pantoja Pachajoa, D, Cardona Gomez, D, Fenner, D, Gonzalez, D, Siriwardena, D, Garces Palacios, D, Stoian, D, Zuikyte, D, Sosa Mendez, D, Wickramarathna, D, Mutter, D, Palma Portillo, D, Chavez Fernandez, D, Cordova Garcia, D, Enjuto, D, Giulitti, D, Sasia, D, Visconti, D, Yigit, D, George, D, Rabaia, D, Georgiev, D, Hadzhiev, D, Alexandrou, D, Balalis, D, Giakoustidis, D, Manatakis, D, Korkolis, D, Lytras, D, Massaras, D, Moris, D, Politis, D, Sampanis, D, Schizas, D, Tsiardas, D, Vardakostas, D, Kotsaris, D, Khattab, D, M. Awad, D, Alrokh, D, Schippers, D, Waleed, D, Salinovic, D, Goncalves Murias Gomes, D, Silva, D, Vaz Acosta, D, Morton, D, Panagopoulos, D, Kelgiorgi, D, Dellaportas, D, Prevezanos, D, Joshi, D, Ozal, D, Chimkaomasiri, D, Jabbar, D, Nepogodiev, D, Belekar, D, Abdalaziz, D, Abunemer, D, Attia, D, Elkafrawy, D, Dimitrov, D, Pignatelli, D, Merlicco, D, Soriero, D, Zerbo, D, Atouguia, D, Fairbrass, D, T. 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Skiljo, H, Miyasika, H, Altabbaa, H, Haj Freej, H, Abdelazim, H, Habiba, H, Kamal, H, Sabir, H, Zaigham, H, Pehlivan, H, Telci, H, Abuobaida, H, Tetley, H, Taher, H, Aguado Lopez, H, Askarpour, H, Sherif Farouk Ahmed Hassan, H, Devesa, H, Arbogast, H, Nunez Del Barrio, H, Abiyere, H, Delacave, H, Rice, H, Pleass, H, Bradly, H, Islam, H, Lule, H, Abozied, H, Le Roux, H, Hamdar, H, Yaghmour, H, Bileid Bakeer, H, Al Miskry, H, Ulman, H, Abdoun, H, Essalim, H, Yonekura, H, Kato, H, Amin-Tai, H, Kynaston, H, Perez Baca, H, Irfan Khan, H, Amir, H, Elghadban, H, Elfeki, H, Wain, H, Adjei, H, Dabrowski, H, Novak, H, Alzuhd, H, Capote, H, Gomez-Fernandez, H, Stark, H, Willy-Chidire, H, Aouagbe Behanzin, H, Oneizah, H, Dalati, H, Ebied, H, Mahajna, H, Ahmad, H, Altawati, H, Adi, H, Albalawi, H, Alfakeer, H, Embarek, H, Ibrahim, H, Malkawi, H, Ekwuazi, H, Psilopatis, I, Wasiu, I, Kereet, I, Suleiman, I, Fortune, I, Aburumman, I, Adel, I, Adham, I, Ali, I, Arnaout, I, Cakir, I, Fagiri, I, Hajmohammed, I, Ozata, I, Kandil, I, Ahmed, I, Tagreda, I, Garzali, I, Nadi, I, Ogundele, I, Pius Ogolekwu, I, Shariff, I, Jakaityte, I, Abdullah, I, Babajimi-Joseph, I, Guirguis, I, Orji, I, Okoro, I, Obianyo, I, Njere, I, Ugwueke, I, Nzenwa, I, Zerrouq, I, Clementi, I, Neri, I, Yavuz, I, Hoxhaj, I, Fakhradiyev, I, R Fakhradiyev, I, Gomatos, I, Fidoshev, I, Gouazar, I, Alnimer, I, Boudis, I, Boumakhlouf, I, Abdalla, I, Herrero, I, Osman, I, Nasser, I, Singh, I, P S, I, Borges Da Costa, I, Colaco, I, Lourenco, I, Mogarrio, I, Konigsrainer, I, Hamdun, I, Tanase, I, Bokos, I, Contis, I, Demiris, I, Gerogiannis, I, Gogoulis, I, Karatsolis, I, Katsaros, I, Kozadinos, I, Margaris, I, Maroulis, I, Papaconstantinou, I, Siannis, I, Sougkas, I, Spyridakis, I, Tierris, I, Tsakiridis, I, Imihteev, I, Negoi, I, Chatzis, I, Shahbaz, I, Didier, I, Pipia, I, Parwaiz, I, Duran Sanchez, I, Norman, I, Bakaweri, I, Santos, I, Mylona, I, De Haro Jorge, I, Cervera, I, Dajti, I, Datji, I, Matache, I, Russo, I, Aremu, I, Amankwaa, I, Caitens, I, Esparza Estrada, I, Mubezi, I, Gascon Ferrer, I, Serrano, I, Dong, I, Mondi, I, Serfontein, I, Rakshit, I, Kyei, I, Murshed, I, Cabrera, I, Abo Elhagag, I, Alsoubie, I, Lawani, I, Bilgin, I, Cholah, I, Hamzaoglu, I, Maharem, I, Shehadeh, I, Hagbevor, I, Bahikoro, I, Laopeamthong, I, Mikulic, I, Bacic, I, Rakvin, I, Separovic, I, Vidic, I, Conversano, I, Mrazkova, I, Yotsov, I, Ilieva, I, Coza, I, Aljada, I, Hussein, I, Tesfahun, I, Sadiq, I, Martinez Martin Del Campo, J, Mackenzie, J, Maida, J, Kaippally, J, Montero Garcia, J, Andreuccetti, J, Martellucci, J, Secchi, J, Van Niekerk, J, Saunders, J, Duffield, J, Tavares-Ortega, J, Orozco-Perez, J, Mihanovic, J, Wolesky, J, Bryan, J, Bundred, J, Cui, J, Glasbey, J, Casella Mariolo, J, Suliman, J, Mohammad Mohammad, J, Bolanowski, J, Goedeke, J, Grosek, J, Moravik, J, Ringers, J, Roman, J, Chew, J, Maritz, J, Martin, J, Velkoski, J, Wong, J, Garcia-Quijada, J, Tk, J, Siby, J, Mcnab-Hand, J, Gusa, J, 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S., Aljamoudi A., Cheung A. C. K., Gkoutoula A., Kalogeropoulou A., Sarafi A., Abo Al Shamat A., Sanon A. S. T., Sanon A. F., Hiller A., Costas-Chavarri A., Lombardero A., Fraile A., Bojazyah A., Kamal A., Gill A., Hada A., Gulla A., Maciulaityte A., Sukumar A., Landaluce-Olavarria A., Sainz Lete A., Pal A. K., Malik A. A., Horiguchi A., Kocaay A. F., Akinkuolie A., Olabode A., Fadipe A., Akinmade A., Darkwa Boateng A., Appiah-Kubi A. Y., Alkaseek A., Kadamani Abiyomaa A., Anand A., Oppong A., Opoku-Agyapong A., Asharaf A. A., Ahmed A. S., Andani A. -H. D., Alkharusi A. -S., Abd Elsattar A., Alragheai A., Alsalahat A. A., Hawarah A., Aldirani A. N., Shabkah A., Nixon Fulli A. F., Nguyen A., Mustafa A., Joseph A., Huws A., Aregawi A. B., Sanchez Gallego A., Torroella A., Vazquez Melero A., Dauksa A., Abreu Da Silva A., Brun-Peressut A., Barranquero A. G., Gegundez Simon A., Gerundo A., Navarrete-Peon A., Viacava A., Vilar A., Adam A. A., Jarimba A., Johnson A., Nunez Venzor A., Gonzalez Ojeda A., Romero De Diego A., Karamarkovic A., Butyrskii A., Edmundson A., Sidorova A., Thomas A., Tomazic A., Giuliani A., Iodice A., Marano A., Marello A., Ongaro A., Saba A., Anastasi A., Borello A., Broglia A., Carta A., Finocchio A., Francia A., Iacomino A., Izzo A., Ottaiano A., Spaziani A., Strumia A., Biancafarina A., D'Ignazio A., Davolio A., Morello A., Licciardello A., Mazzoni A., Wilkins A., Arekhandia A., Barlas A., Chamzin A., Demetriou A., Giakoustidis A., Kozadinos A., Kyriakidis A., Sarakatsanos A., Rojas A., Saridaki A., Litchinko A., Arnaud A. P., Binder A. -D., Yakubu A., Kavalakat A., Shamsutdinova A., Alberico A., Amendola A., Sanchez-Teran A. I., Lapergola A., Baiden Amissah A., Konigsrainer A., Twumasi A., Alhebshi A., Abbas A., Abdul Rahman A., Abidali A., Abu Tair A., Ahmad A., Al Mukhtar A., Sharq A. A., Alloush A., Amaigl A., Kheirkhah Vakilabad A. A., Bassma A., Hacioglu A. 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F., Ferreras Garcia C., Figueiredo C., Garcia-Salas C., Gonzalez C., Gonzalez Baez C., Gracia-Roche C., Guijarro Moreno C., Hernandez Diaz C., Ferrero C. I., Perez Rivera C. J., Jezieniecki C., Perez - Padron C. J., Leon-Espinoza C., Nuno-Guzman C. M., Macedo Cardoso De Oliveira C., Shiraishi Zapata C., Yanowsky-Gonzalez C., Sorrentino C., Tung C., Cardoso C., Chavarria Noya C., Coutinho C., Korzin C., Maya C., Moreno-Licea C., Panis C., Righetti C., Silva C., Soares-Aquino C., Golliez C., Chiam C., Kamphues C., Rahantasoa Finaritra C. F., Assis C., Henriques C., Quintela C., Rio Ferreira C., Rolo Santos C., Rodrigues C. S., Allmer C., Bradshaw C. J., Rukundo C., Seneza C., Raphael C., Guldogan C. E., Bilir C., Hacialioglu C., Ersavas C., Ozkan C., Huaroto Landeo C. F., Ginesta C., Infante C., Pastas C., Ciubotaru C., Narayan C., Mahakalkar C., Floros C., Demiri C., Chatzinikolaou C., Dempers C., Ansah Larbi C., Banka C., Cini C., Dally C., Doku C., Ntow-Boahen C. K., Nicholson C., Cornwell C., Stennard C., Lionel C., Azmat C. E., Nyampinga C., Tandup C., Agarwal C., Parmar C., Pun C., Un C. W., Baars C. A., Celano C., Fumagalli C., Marafante C., Zandonella C., Nwanmah C., Osuigwe C., Nwokoro C., Nwosu C., Nwosu C. D., Lim C. K., Onyeka C., Uche C., Jamieson-Grigg C., Ong C. S., Alphonse C., Bode C., Varghese C., Carrillo Sarango C., Esteo Verdu C., Krautz C., Mosca C., Nimbona C., Nikolaou C., Wiesner C., Kloppers C., Kourouniotis C., Seiler C., Knee C., Mpirimbanyi C., Aboah C., Amah C., Cheong C., Harmston C., Leung C., Seet C., Smart C., Chouliaras C., Damaskos C., Doudakmanis C., Kaselas C., Limas C., Ntagkas C., Papazacharias C., Stefanou C., Thrasyvoulou C., Tsalikidis C., Karagianni C., Kolla C. -C., Ugwunne C., Ilo C., Nwegbu C., Onwuzu C., Weadick C., De Martino C., Donohoe C., Gutierrez De La Rosa C. E., Florian Villa C. M., Petcu C. 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N., Ofosuhene D., Hajela A., Badwan B., Kulkarni D., Dhawan D., Dhillon J., Mehmood M., Mahmood N., Nikam N., Ramchandani R., Thind R. S., Riazhussain D. H., Maqsood S., Alalawi Y., Tyagi H., Kshirsagar S., Ahmed H., Juan Carlos L. C., Kone D., Omar D., Alves D. G., Subasinghe D., Ommi D., Joshiba D., Chakarov D., Arkoh E. A., Frimpong-Manso E., Ada E., Lincango E. P., Lozada Hernandez E. E., Hodzic E., Di Marco E., Baccalini E. A., Baldini E., Gonzalez Marin E., Gutierrez E., Sepulveda E., Dainius E., Zhang E., Yenli E. M. T. -A., Antoniou E., Kapasakis E., Baili E., Poulios E., Kubiliute E., Osaze E., Afeikhena E., Elshennawy E., Athanasopoulou E., Synekidou E., Ekaladze E., Tampaki E. C., Adam E., Adel Hamdoun Aziz E., Yousuf E., Gialamas E., Spartalis E., Bedzhanyan E., Toma E. 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A., Younes E., Basile E., Gessa E., Pontecorvi E., Romairone E., Hatangimana E., Ndizeye E., Ciofic E., Dijan E., Lopez-Negrete Cueto E., Baker E., Reid E., Schmidt E., Alic E., Bicakcic E., Agbowada E., Colton E., Downing E., Haege E., O'Neill E., Roussos E., Nachelleh E. A., Adebunmi E., Obiesie E. A., Akakpo E. B., Konlan E. D. F., Nwangwu E. I., Kafui Ayodeji E., Ofori E. O., Spanoudakis E., Abate E., Balik E., Bozdag E., Bozkurt E., Karabulut E. C., Ozoran E., Tunccan E., Tuzuner E., Halilovic E., Alabed E., Zidan E., Aybar E., Yildirim E. O., Wong E., Yhoshu E., Bisogno E., Andolfi E., Ferri E., Potenza E., Spalice E., Volpin E., Gonzalez E., Downes E., Gallo E., Kamer E., Naidoo E., Erginoz E., Bara E., Irungu E., Garcia-Villegas E. Y., Mazzotta E., Monati E., Chan E., Gomez Mejia E., Dylja E., Somuncu E., Yavuz E., Begunic E., Margelis E., Osei E. O., Saitoglou E., Agastra E., Mazumdar E., Soyer Guldogan E., Abu Siam E. 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P., Peters F., Re F., Brucchi F., Casti F., Coratti F., Ferrara F., Floris F., Izzo F., Maffei F., Palmieri F., Pata F., Porcelli F., Selvaggi F., Velluti F., Mulita F., Bello F., Caiquo F., Dossou F., Eshun F. J., Opoku Twene F., Tierenye F., Quayson F. W., Romo Rosales F. D., Ibanez Ortiz F., Leon Frutos F. J., Redondo Calvo F. J., Silva Rivera F. J., Barbosa Camacho F. J., Bujalance Cabrera F. M., Ruescas F., Irakiza F. F., Corvatta F., Pascual F. R., Roviello F., Roodt F., Gyamfi F. E., Olaniru F., Owusu F., Bader F. G., Anzinger F. -X., Agbodo F. D. A., Ris F., Agbemafoh F. M., Afonso F., Nazareth F., Berrevoet F., Hounde F., Demiral F., Hassooni F. R. H., Kafa G., Cardenas Rivera G., Ntwari G., Szydlo Shein G., Ambriz Gonzalez G., Nita G. E., Bellio G., Moitzi G., Urdang G., Marom G., Gallo G., Luglio G., Poillucci G., Singh G., Saletta G., Abouelnagah G., Yarovenko G., Kazobinka G., Ahmed G. M. G., Rahman G. A., Smith G., Pillai G., Saxena G., Gbessi G., Nkunguzi G., Jalal G., Chillarge G., Mevognon G., Getachew G., George G., De La Pena Gonzalez G., Martinez Izquierdo G., Grande G., Birikorang G., Weber G. F., Singer G., Ansong G., Bashour G., Brown G. D., Hneino G., Kavalieratos G., Kenchadze G., Nagy G., Pappas Gogos G., Skroubis G., Waiyaki G., Cox G., Zeringa G., De Wee G., Hart G., Bekakos G., Fragulidis G., Kapogiannatos G., Karakaidos G., Kokkinos G., Kostoulas G., Koukoulis G., Peros G., Rados G., Tsoulfas G., Verras G. -I., Berger G., Adoro G. A., Chamoso Mialdea G., Palmieri G., Procaccini G., Steenkamp G., Viscido G. R., Dajti G., Alemayehu G., Seyfu G., Birqeeq G., Alsheikh G., Alrayyes G., El Hunjul G. N., Zaza G., Matroud G., Alhadwah G., Maltinti G., Awais G., Shamsi G., Calini G., Carganico G., Zanus G., Canu G. L., Mendiola G., Ibero Casadiego G. P., Cocorullo G., Baronio G., Pellino G., Zanni G., Poto G. E., Gravante G., Aduroja G., Almogy G., Bond-Smith G., Natchagande G., Bechara G., Brachini G., Riccioli G., Ercolani G., Farris G., Giraudo G., Mammolo G., Pavone G., Sgarzini G., Aprea G., Fonsi G. B., Boroni G., De Angeli G., De Palma G. D., Emiliani G., Grava G., Guercio G., De Carlo G., Del Corpo G., Duranti G., Galatioto G., Grassi G., Graziano G., Marini G. M. F., Munzi G., Tarantino G., Borda-Luque G., Pellicano' G. A., Canonico G., Carollo G., Ietto G., Palomba G., Pascarella G., Salamone G., Sica G., Sorrentino G., Orlando G., Pignata G., Pisarevi G., Akcakoca G., Owusu G., Yohanna Abrak G., Kurtoglu G. K., Kurtoglugk G. K., Alici G., Kurtoglu G. M., Delgado Hernandez G., Augustin G., Bhat G. A., Sundaram Venkatesan G., Chang G., Eke G., Lee G., Massarra G., Travaglini G., Scialandrone G., Stavrou G. A., Di Franco G., Charalambous G., Christodoulidis G., Kouraklis G., Goodwin G. R., Devidze G., Fialho G., Santos G., Cabezudo G., Garcia-Santos G., Pou G., Romero Reyna G., Yanowsky-Reyes G., Ozyuksel G., Karadeniz Cakmak G., Kucuk G. O., Bulbuloglu G. C., Sarp G., Kaur G., Nibogora G. D., Hamdan G., Ogundipe H., Yunes H., Ayesh H., Al Atassi H., Jalilehvand H., Masalma H., Jafarkhan H., Shahid H. H., Younus H., Al-Derume H., Shames H., Mimouni H. A., Aldare H., Odah Bashi H. O., Abusnina H., Altounsi H., Qayum H., Baysal H., Bolukbasi H., Yigitbas H., Alkhatib H., Afzal H., Mftah H., Oyinlola H., Tumer H., Dolo H., Braham H., Ozsahin H., Abu-Arish H., Al-Aamri H., Fadlalmola H. A., Abu Obead H., Al-Fahel H., Al-Zoubi H., Asaad H., Ejaz H., Jaber H., Bhatti H. W., Mohammadi Sardoo H., Farhat H., Idheiraj H., Zwaraa H., Al Sohabi H., Basharat H., Said H., Al-Abdallat H., Foad H., Daaboul H., Al Qadhi H., Elhallaq H., Alhusaini H., Lidbetter H., Reilly H., Moya-Ambriz H. B., Lederhuber H., Fehrer H. -J., Xiao H., Iswariah H., Kaur H., Cheema H. K., Foda H., Chauhan H., Sagar H., Unwin H., Panga H., Gupta H., Prabhakar H. K., Anand H., Pahwa H. S., Abbadi H., Amoudi H., Zaini H. H. Z., Skiljo H., Miyasika H., Altabbaa H., Haj Freej H., Abdelazim H., Habiba H., Kamal H., Sabir H., Zaigham H., Pehlivan H., Telci H., Abuobaida H., Tetley H., Taher H., Aguado Lopez H., Askarpour H., Sherif Farouk Ahmed Hassan H., Devesa H., Arbogast H., Nunez Del Barrio H., Abiyere H., Delacave H., Rice H. E., Pleass H., Bradly H., Islam H., Lule H., Abozied H., Le Roux H., Hamdar H., Yaghmour H., Bileid Bakeer H., Al Miskry H., Ulman H., Abdoun H., Essalim H., Yonekura H., Kato H., Amin-Tai H., Kynaston H., Perez Baca H. D. J., Irfan Khan H., Amir H., Elghadban H., Elfeki H., Wain H., Adjei H., Dabrowski H., Novak H., Alzuhd H., Capote H., Gomez-Fernandez H., Stark H., Willy-Chidire H., Aouagbe Behanzin H., Oneizah H. M. A., Dalati H., Ebied H., Mahajna H., Ahmad H., Altawati H., Adi H., Albalawi H., Alfakeer H., Embarek H., Ibrahim H., Malkawi H., Ekwuazi H., Psilopatis I., Wasiu I., Kereet I. M., Suleiman I., Fortune I., Aburumman I., Adel I., Adham I., Ali I., Arnaout I., Cakir I., Suleiman I. E., Fagiri I., Hajmohammed I., Ozata I. H., Kandil I., Ahmed I. M. G., Tagreda I., Garzali I. U., Nadi I., Ogundele I., Pius Ogolekwu I., Shariff I., Jakaityte I., Abdullah I., Babajimi-Joseph I., Guirguis I., Orji I., Okoro I., Ahmed I., Obianyo I., Njere I., Ugwueke I., Nzenwa I. C., Zerrouq I., Clementi I., Neri I., Yavuz I. E., Hoxhaj I., Fakhradiyev I., R Fakhradiyev I., Gomatos I., Fidoshev I., Gouazar I., Alnimer I., Boudis I. E., Boumakhlouf I. E., Abdalla I., Herrero I., Osman I., Nasser I., Singh I., P S I., Borges Da Costa I., Colaco I., Lourenco I. M., Mogarrio I., Konigsrainer I., Hamdun I. H. S., Tanase I., Bokos I., Contis I., Demiris I., Gerogiannis I., Gogoulis I., Karatsolis I., Katsaros I., Kozadinos I., Margaris I., Maroulis I., Papaconstantinou I., Siannis I., Sougkas I., Spyridakis I., Tierris I., Tsakiridis I., Imihteev I., Negoi I., Chatzis I., Shahbaz I., Didier I., Pipia I., Parwaiz I., Duran Sanchez I. I., Norman I., Bakaweri I. N., Santos I., Mylona I. C., De Haro Jorge I., Cervera I., Dajti I., Datji I., Matache I. M., Russo I. S., Aremu I. I., Amankwaa I., Caitens I., Esparza Estrada I., Mubezi I., Gascon Ferrer I., Serrano I., Dong I., Mondi I., Serfontein I., Rakshit I., Kyei I., Murshed I., Cabrera I., Abo Elhagag I., Alsoubie I., Lawani I., Bilgin I. A., Cholah I., Hamzaoglu I., Maharem I., Shehadeh I., Hagbevor I., Bahikoro I. W., Laopeamthong I., Mikulic I., Bacic I., Rakvin I., Separovic I., Vidic I., Conversano I., Mrazkova I., Yotsov I., Ilieva I., Coza I., Aljada I., Hussein I., Tesfahun I., Sadiq I., Martinez Martin Del Campo J. 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O., Omer M., Osman M., Zaazou M., Zahed Abdalla M., Melouane M. -S., Abed M., Sawaftah M. A. M., Al-Masri M., Al-Qannas M., Ali-Hassanzadeh M., Yunus M. A., Aloulou M., Alrantisi M., Araydah M., Bani Hani M., Barakat M., Durrani M., Khan M. F., Dwikat M. F., Hasan M., Nabhan M. H., Hijazi M., Abu Albahrain M. K., Barakat M. M., Mubarak M., Omar M., Pourfridoni M., Mslmani M. R., Salah M., Tanashat M., Yahmad M., Elmujtaba M., Abd Al-Fattah M., Abdelkabir M., Abosedra M., Sarker M. A. K., Abudabbous M., Abuwarda M., Elgak M. A., Al Hinai M., Al Zebda M., Al-Shehari M., Alharthi M., Ali M., Ismael Alamin M. A., Alqadasi M., Alshanwani M., Alshehri M., Asaad M., Bashir M., Bohlala M., Meghaizerou M. E. A., Albanna M. E. H., Ghunaim M., Goga M., Hajhamad M., Hamada Takrouney M., Hammoda M., Hamoud Almahly M., Muragi M., Mohammed M. M. H., Obaid M., Said M., Saleh Khatab M., Aliyu M. 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N., Roukounakis N., Stamos N., Tasis N., Tsakiridis N., Vlachakos N., Zampitis N., Kouzakos N., Borner N., Dimitriou N., Dafnios N., Banerjee N., Klammer N., Maharjan N., Rabai N., Oscar N., Harrison N., Kheyrbek N., Kansakar N., Bhat N., Krishnappa N., Pahuja N., Paul Ambrose N., Renovat N., Musawa N., Nwanne N., Steve N., Chidumije N., Nwafulume N., Celestine N., Duru N., Lopez Bernal N. E., Laquatra N., Pasqua N., Awwad N. A. -D., Ali N., Hielscher N., Trabulsi N., Huser N., Munoz Montes N., Eshak N. -S., Rajab N., Lahnaoui N., Ouachou N., Dadoush N., Fazili N., Theophile N., Ntanzi N., Bibila N. S., Alwaer N., Naabo N., Jiagge N., Freitas Oliveira N. M., Pratas N., Morricone N., Franco N. F., Binti Yusri N. A., Ramli N. N., Abd Ghani N. S., Umar N., Aly N. K., Lakhanov N., Al-Hroub N., Kiziltoprak N., Chavarrias N., Maulenov N., Akinbami N., Abdulraheem N. T., Karunaratne N., Jeannette N., Altobaishat O., Egwuonwu O. A., Enciu O., Cohen-Arazi O., Pheiffer O., Okoye O. 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K., Mashlah Q., Sabbah Q., Sethi R., Robitsek R. J., Jubran R. E., Raheem Attallah Al-obaidy R., Michael R., Abela R., Colbran R., Geow R., Titcombe R., Soglonou R., Ait Ben Addi R., Jayakrishnan R., Acharya R., Salim R., Guzman Lambert R., Donchev R., Drasovean R., Andreou R., Perez-Soto R. H., Santana Ortiz R., Villalobos Mori R., Sokratous R., Smolinski Kurek R. L., Solecki R., Basile R., Abd Elkareem R., Yousef Yassin R., Faisal R., Abd Alkareem R., Hegy R., Jaba'Teh R., Sharma R. D., Gupta R., Saxena R., Sinha R., Varshney R., Ripoll I Palmes R., Lunevicius R., Raghunath R., Redkar R., Sharma R., Philip Sridhar R., Krishna Raj R., Nathani R., Kottayasamy Seenivasagam R., Ahmed R., Handa R., Vakil R., Armah R., Attaf R., Elazary R., Alkhatib R., Alzu'Bi R., Raddad R., Kaur R., Nataraja R., Hussam Yacoub Hattar R., Ben Hmida R., Chaudhary R., Ramirez Calas R. 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N., Dawo S., Ng S., Nofal S., Ahmed S., Amahmid S., Elnoamany S., Fakhouri S., Selim S., Abrayik S., Di Saverio S., Kassad S., Carrabetta S., Costa S., Gargiulo S., Schirone S., Sorrenti S., Beavis S., Lawday S., Alananzeh S., Arafa S., Bani Amer S., Mamduh S., Omar S., Altaf S., Dos Santos Rocha Ferreira S., Quoy S., Emile S., Abu Salem S., Al Athath S., Yigman S., Eldirdiri S., Imam S., Jomaa S., Errami S., Kessab S., Muhammad S., Delibegovic S., Kanaan S., Aliozor S., Olori S., Sani S. A., Anim S., Bennett S., Debrah S., Ghattas S., Brenu S. G., Robinson S. J. A., Arthur S. J., Mcclintock S., Mensah S., Ogunlade S., Tingle S., Jabeen S., Borrego Canovaca S., De La Cruz Ahufinger S., Tsoti S. M., Paterna-Lopez S., Sanz S., Tsatsu S., Hugli S., Yunusa S. A., Aji S. A., Katragadda S., Edem S., Irrinki S., Shivashankar Chikkanayakanahalli S., Bertone S., Karmarkar S., Abbas S., Alashhab S., Alsaeiti S., Andrade S., Egreara S., Elfallah S., Galati S., Garcia Lopez S., Giovampietro S., Ismail S., Kamari S., Lauricella S., Marzorati S., Mohammed S., Moschella S., Mostafa Yassin S., Patrocinio S., Massa S. T., Vertaldi S., Abdelmohsen S., Al Sharie S., Barbosa Castelo Branco S., Bowman S., Condron S., Elfurdag S., Ellouzy S., Fennelly S., Mansour S., Molfino S., Qwyder S., Rennie S., Robinson S., Segnitome S., Staight S., Yassin S., Alsibai S., Khan S., Khurana S., Rafiq S., Malhi S. S., Dognia S., D A S., Babu S., Subbiah Nagaraj S., Meena S. P., Vasquez S., Bradulskis S., Mikalauskas S., Laura S. G., Verhage S. S., Simeonidis S., Sarwary S. H., Naidu S., Schimpke S., Davis S., Stevens S., Sierra S., Dos Santos S., Strachan S., Bektas S., Atupra S. A. A., Kreid S., Bugren S., Saudi-Moro S., Ashini S., Aboseif S., Abdul Rahman S. -A., Karim S., Ozturk S., Akuffo S., Awad S., Srishankar S., Tobome S. R., Malek S., Quartarone S., Grimaldi S., Guarriello S., Kalenga S., Katorkin S., Trujillo Ponce S. A., Villeda S. A., Intini S. G., Vazquez-Sanchez S. J., Salido S., Valeri S., Yilmaz S., Meric S., Bensalem S., Sucu S., Uludag S. S., Torres Rodriguez S. T., Ooi S., Luciano S., Houndji S. F. A., Agordjor S., Ward S., Samardali S., Altoume S., Mahfoud S., Razaq S., Husanov S., Islam S., Waqar S. H., Kumaran S., Magrhi S., Zhang S., Kashyap S., Karandikar S., Sundaramurthy S., Chowdhury S., Jayasekara S., Laura S., Shanker S., Ababneh S., Gilbert S., Kenworthy S., Ng S. H. M., Mackenzie S., Salindera S., Khattak S., Loke S. N., Manzoor S. V., Alwardi S., Allam S., Tawfik S., Francis S., Cai S., Dindyal S., Pandya S., Chopra S., Ingley S., Kulkarni S., Kosna S., Nayak S., Ahuja S., Hariharan S., Karuppusamy Krishnasamy S., Khare S., Handa S., Amin Omar Alsiddig S., Alqurashi S., Al-Tahayneh S. -A., Sibiya S., Perretta S., Ibarra Camargo S. A., Montisci S., Mungo S., Puddu S., Severi S., Agudelo Mendoza S. V., Makkai-Popa S. T., Boyes S., Monkhouse S., Stock S., Alberti S., Meneghini S., Giudici S., Guadagni S., Birolo S. L., Novello S., Oliveira S., Gumede S., Dhole S., Budhwani S. S., Ramjit S., Yumurtacilar S., Mahendra S. N., Abeykoon S., Moh Pauzi S. F., Rajendra S., Sundararajan S., Gananadha S., Kamarajah S. K., Marawu S., Basu S., Hassan S., Reddy S. M., Anaya Sanchez S., Gaspar Reis S., Gomez S., Gamba S. L., Pimentel Morais S., Ashry S., Abdullateef S., Bandyopadhyay S., Samadi S., Pathan S. R., Lakew S., Ohri S., Alonso Marcos S., Amoza Pais S., Fortuna Martins S., Gill S., Matthiess S., Sabbatini S., Soto Schutte S., Engel S., Eam S., Botaitis S., Lawani S., Jamil S., Kondpan S., Oum S., Govender S., Christodoulou S., Davakis S., Vernadakis S., Gkogkos S., Gobishangar S., Suresh S., Vembar S., M S., Abdelrasoul Elnour Ismail S., Zourntou S. -E., Nwabuoku S. E., Ideh S., Charitonos S., Liapis S. C., Faber S., Piccioni S. A., Romano S., Silvestre S., Jarmusch S., Soelling S., Cardelli S., Chaifouroosh Mamagany S., Corso S., Basso S. M. M., Megna S., Bitsianis S., Tsatsos S., Morales S., Gerdes S., Goller S., Hanna S., Tabiri S., Agana S., Theivendran S. A., Kache S., Knight S. R., Smith S., Stonelake S., Wrenn S., Gopaul S., Vederaki S., Kapiris S., Kykalos S., Hlaing S. S., Chia S. Y. D., Abu Khousa S., M. Udwan S., Raul S., Chase S., Nair S., Joseph S., Singh S. K., Singh S., Timmalah S., Alsuwiyah S., Thalgaspitiya S. P. B., Sellahewa S., Neogi S., Burger S., Polat S., Alkadi S., Asiri S., Otho S., Mewa Kinoo S., Ebrahim S., Tontus S., Midya S., Thuraisamy Sarma S. I., Payyanur Thotan S., Kumar Venkatappa S., Techapongsatorn S., Kaur S., Jp S., Tan S., Djote S. M., Surendran S., Chilaka S., Lee S., Henriques S., Giridaran S., Achugatla S., Kumar S., Brincat S., Deshpande S., Batista S., Akharaekpanya T., Moges T. G., Turkmen T. B., Alhaj Hasan T., Alshawabkeh T., Majed T., Lawal T. A., Ibiyeye T. T., Rashid T., Kosir Bozic T., Mohammed T., Khewater T., Abelman T., Al Barhi T., Mogne T., Salazar-Lorenzana T. A., Akter T., Gomez Sanz T., Motiwala T., Valizadeh Elizeh T., Almahdi T., Albushary T. A., Abdulrahman T., Finlay T., Chouari T., Awad T., Sabra T., M. Abubasheer T., Alhusban T., Yilmaz T. E., Aloqaili T., Aldirawi T., Karahasanoglu T., Gulsen T., Jemal T., Nadeem T., Singh T. P., Alinger T., Longkumer T., Lo T., Gimenez Maurel T., Uprak T. K., Petropoulou T., Rawther T., Techapongsatorn T., Manickam T., Padioti T., Kozonis T., Sidiropoulos T., Tsirlis T., Theodosopoulos T., Hessou T. K., Uiyapat T., Agyen T., Harris T., Hugh T. J., Jorgensen T. W., Theivendrampillai T., Pham T. V., Branco T., Nagwamutse T. N., Tony V T., Devabalan Koil T., Pilia T., Abdulmola T. M. A., Oyeyemi T., Kebede T., Ibarra-Hurtado T. R., Reichelt T., Gach T., Stefura T., Wojewoda T., Soric T., Risteski T., Tridip T. D. B., Yotsov T., Doma Bhutia T., Girma T., Kwan T. Y., Ivanov T., Iahmo T. T., Ashkar T., Mabogoane T., Olobatoke T., Sholadoye T. T., Mishra T. S., Parker T., Ezomike U., Dilibe U., Kumbhar U., Una U. -A., Grossi U., Ezidiegwu U., Edith U., Daspal U., Kalu U. A., Dietz U., Ronellenfitsch U., Wirth U., Abdullah U., Rivolta U., Jayarajah U., Kanyan Kassim U. -H., Govindan U., Fernandes U., Akram U., Mohammed Bello U., Omara U., Naidoo U., Mahendravarman V., Negoita V. M., Mariottini V., Murzi V., Zucchini V., Agbakwuru V., Armenta Tapia V. E., Gentilino V., Borgogni V., Ng V., Wolfschluckner V., Silvestri V., Zufic V., Gunasaegaram V., Kamalathevan V., Pillay V., Neykov V., Kalles V., Mousafeiris V., Papadopoulos V., Tsaousis V., Tselepidis V., Vougas V., Georgilaki V., Nikolaou V., Themelidi V., Manchev V., Ioannou V., Jha V. S., Dragisic V., Sutharshan V., Alonso V., Brocco V., Ongil Rodriguez V., Schirinzi V., Budyakova V., Naunova V., Panduro-Correa V., Ruiz Lopez V. A., Bill V., Dassah V., Gonzabay V. E., Etwire V., Modekwe V., Serna-Alarcon V., De Donato V. U., Duque Mallen V., Liu V., Sharma V., Kumar V., Muralidharan V., Kakotkin V., Enemuo V., Kudoh V., Osoka V., Siepaal V., Granata V., Dinuzzi V. P., Lizzi V., Ricchiuti V., Mosca V., Kanna D V., Nair V. V., Ledda V., Michael V., Singh V., Govindasamy V., Kollengode V. V., Giordano V., Morinelli V., Lin V., Cuk V., Cijan V., Calik V., Bakshi V., Ten V., Ratheesh V., Alsado W., Mayo W., Yang W., Rehman W. U., Abbas W., Al-Khyatt W., Mabood W., Santucci W., Yew W. T., Tahir W., De Silva W. D. D., Wijenayake W., Almadhoun W. J. N., Alhroub W., Ebrahim W., Jablonski W., Krawczyk W., Bhatti W., Lai W. K. H., Petrushnko W., Afedo W., Kasetsermwiriya W., Serednicki W., Wysocki W., Zerefa W. A., Vagena X., Tarrado X., Papazarkadas X., Po X. Y., Ouadi Y., Myla Y., Haido Y., Hasan Y., Karatas Y., Carpio Colmenares Y., Galvan Felix Y., Balogun Y. L., Maktabi Y., Nerabani Y., Fulgence Y., De Silva Y., Asar Y., Samer Morsy Y., Ghaleb Y. S. S. M., Vashishth Y., M S Y., Manickchund Y., Sakaray Y., Kara Y., Tosun Y., Zwain Y., Farag Y., Jedidi Y., Seada Y., Aldebasi Y., Ashour Y., Badr Y., Sarpong Y., Alawneh Y., Aung Y. L., Orabi Y., Lam Y. H., Sen Y. K., Koyluoglu Y. O., Huang Y., Mintz Y., Perez Y., Chamara Y., Melkamu Y., Maestre Gonzalez Y., Dean Y., Metaferia Y. Y., Malki Y., Mohamed Y., A. Omar Y., Alhammoud Y., Allaoua Y., Tanas Y., El Okazy Y., Kerolous Y., Al-Junaidi Y., Lakdawala Y., Lu Y., Asano Y., Altinel Y., Aktimur Y. E., Fishman Y., Kudryavcev Y., Tandogan Y. I., Razafimandimby Y. M., Adofo-Asamoah Y., Senol Z., Odeh Z., Benamrouche Z. R., Alkhaier Z., Al-Sheikh Ali Z., Zaher Z. A., Alnajjar Z., Al-Balushi Z., Alkhuzaie Z., Khraim Z., Toutounji Z., Djama Z., Farraj Z., Shah Z. A., Khan Z., Abo Alarous Z. A., Asaad Z., Demetrashvili Z., Lorenc Z., Brekalo Z., Hannouneh Z. A., Robertson Z., Bady Z., Durna Z., Wong Z. Y., Fozo Z. A., Klib Z., Chin Z., Tamou Z. F., Johnson Z., Shabello Z., Orzeszko Z., Aljalabi Z., Al-Azher El-Hamel Z., Karampotaki Z. R., Valera Sanchez Z., Matkovic Z., Azhar Z., Qureshi Z., Correa Lopez Z. M., Balciscueta Z., Musilova Z., Katusic Z., Osama Z., Dauksa Z., Donmez, A, Goswami, A, Raheja, A, Bhadani, A, El Kady, A, Alniemi, A, Awad, A, Aladl, A, Younis, A, Alwali, A, Khalil, A, Mansour, A, Elkhouly, A, Rashad Temerik, A, Hasan, A, Chied, A, Abdraba, A, Hrora, A, Abdelshafi, A, Maraqa, A, Ghaffar, A, Chekfa, A, Al Balushi, A, Quddus, A, Hammadieh, A, Muntaka, A, Asekun, A, Alshahrani, A, Jowharji, A, Alshukre, A, Khair Etareig, A, Abubakar Abdulkarim, A, Ashiru, A, Alailesh, A, Al-Mallah, A, Baydoun, A, Chaudhry, A, Askin, A, Almutairi, A, Belkhair, A, Abdllah, A, Alhammali, A, Basalim, A, Abouelnagah, A, Ghazal, A, Mohammed, A, Qasem, A, Anadani, A, Jimoh, A, Lawal, A, Khaity, A, Elzoubi, A, Sheshe, A, Cetisli, A, Oyedele, A, Aljahdali, A, Aboelnasr, A, Demessie, A, Bhargava, A, Sonkar, A, Bavaharan, A, Khan, A, Campbell, A, Oyelekan, A, Okunlola, A, Ojewuyi, A, Ekerin, A, Saleh, A, Khairy, A, Muthunayagam, A, Botha, A, Teshome Sahilemariam, A, Nawawi, A, Muhammad, A, Dahiru, A, Yahaya, A, Abdelmalik, A, Anuar, A, Ousseini, A, Leon -Del- Angel, A, Frankel, A, Gyedu, A, Lim, A, Lukac, A, Peckham-Cooper, A, Sabbah, A, Varga, A, Sanou, A, Issaka, A, Ningi, A, Yeshitila, A, Yingess, A, Olugbami, A, Damola-Okesiji, A, Ojo, A, Hashmi, A, Fakoya, A, Ishola, A, Abiodun, A, Ajayi, A, Mouffokes, A, Bonelli, A, Adekoya, A, Akeem Aderogba, A, Ozcan, A, Ayoade, A, Adeyeye, A, Agbaje, A, Talabi, A, Ademuyiwa, A, Adewumiya, A, Aderounmu, A, Adisa, A, Oke, A, Ragab, A, Alzadjali, A, Baksi, A, Jayapalan, A, Md Yunos, A, Pisanu, A, Salazar, A, Salinas Barragan, A, Fox, A, Stollberg, A, Franco, A, Neves, A, Vricheva, A, Hodonou, A, Aghayeva, A, Liaquat, A, Alsultan, A, Morad, A, Kalidis, A, Gkouniaroudi, A, Karakosta, A, Lovi, A, Yevide, A, Duro, A, Rodriguez Gonzalez, A, Tariq, A, Abaidalla, A, Abuhammad, A, Abuhantash, A, Ahmad Zaidi, A, Alahmad Alismael, A, Alayed, A, Alfarwan, A, Alhaj, A, Ali, A, Alroobi, A, Alsheikh, A, Alusef, A, Alzu'Bi, A, Kayali, A, Bouhuwaish, A, Doghaim, A, El-Sherbiney, A, Ramly, A, Raza, A, Qureshi, A, Arnaout, A, Abdelhamid, A, Abuthaher, A, Adel, A, Ahmayda, A, Al-Mouahhed, A, Alagha, A, Albalawi, A, Albhaisi, A, Alrifaee, A, Azam, A, Barakat, A, Al-Hajjaj, A, Dawoud, A, El Shamarka, A, El-Bastwesy, A, Elghrieb, A, Elkhalifa, A, Elmosalamy, A, Elshazli Mahmoud, A, Montaser, A, Gbeadese, A, Haty, A, K. Ali, A, Kedwany, A, Khalleefah, A, Abbas, A, Allam, A, Maher, A, Elsayed, A, Mohamed Ibrahim Mohamed, A, Mostafa, A, Nabil, A, Nada, A, Ragheb, A, Abdelrahman, A, Sabry, A, Sakr, A, Elkhodary, A, Shaheen, A, Ammar, A, Hameed, A, Akmercan, A, Aslan, A, Barcin, A, Ciftci, A, Bozkurt, A, Sari, A, Yasar, A, Develioglu, A, Ozturk, A, Sanli, A, Rencuzogullari, A, Yildiz, A, Kaan, A, Toi, A, Aljamoudi, A, Cheung, A, Gkoutoula, A, Kalogeropoulou, A, Sarafi, A, Abo Al Shamat, A, Sanon, A, Hiller, A, Costas-Chavarri, A, Lombardero, A, Fraile, A, Bojazyah, A, Kamal, A, Gill, A, Hada, A, Gulla, A, Maciulaityte, A, Sukumar, A, Landaluce-Olavarria, A, Sainz Lete, A, Pal, A, Malik, A, Horiguchi, A, Kocaay, A, Akinkuolie, A, Olabode, A, Fadipe, A, Akinmade, A, Darkwa Boateng, A, Appiah-Kubi, A, Alkaseek, A, Kadamani Abiyomaa, A, Anand, A, Oppong, A, Opoku-Agyapong, A, Asharaf, A, Ahmed, A, Andani, A, Alkharusi, A, Abd Elsattar, A, Alragheai, A, Alsalahat, A, Hawarah, A, Aldirani, A, Shabkah, A, Nixon Fulli, A, Nguyen, A, Mustafa, A, Joseph, A, Huws, A, Aregawi, A, Sanchez Gallego, A, Torroella, A, Vazquez Melero, A, Dauksa, A, Abreu Da Silva, A, Brun-Peressut, A, Barranquero, A, Gegundez Simon, A, Gerundo, A, Navarrete-Peon, A, Viacava, A, Vilar, A, Adam, A, Jarimba, A, Johnson, A, Nunez Venzor, A, Gonzalez Ojeda, A, Romero De Diego, A, Karamarkovic, A, Butyrskii, A, Edmundson, A, Sidorova, A, Thomas, A, Tomazic, A, Giuliani, A, Iodice, A, Marano, A, Marello, A, Ongaro, A, Saba, A, Anastasi, A, Borello, A, Broglia, A, Carta, A, Finocchio, A, Francia, A, Iacomino, A, Izzo, A, Ottaiano, A, Spaziani, A, Strumia, A, Biancafarina, A, D'Ignazio, A, Davolio, A, Morello, A, Licciardello, A, Mazzoni, A, Wilkins, A, Arekhandia, A, Barlas, A, Chamzin, A, Demetriou, A, Giakoustidis, A, Kozadinos, A, Kyriakidis, A, Sarakatsanos, A, Rojas, A, Saridaki, A, Litchinko, A, Arnaud, A, Binder, A, Yakubu, A, Kavalakat, A, Shamsutdinova, A, Alberico, A, Amendola, A, Sanchez-Teran, A, Lapergola, A, Baiden Amissah, A, Konigsrainer, A, Twumasi, A, Alhebshi, A, Abdul Rahman, A, Abidali, A, Abu Tair, A, Ahmad, A, Al Mukhtar, A, Sharq, A, Alloush, A, Amaigl, A, Kheirkhah Vakilabad, A, Bassma, A, Hacioglu, A, Elzanaty, A, Fani, A, Farsi, A, Ghummied, A, Hajali, A, Al Sharqi, A, Hammed, A, Hewari, A, Isler, A, Marouf, A, Uysal, A, Murtada, A, Syed, A, Ozkomec, A, Sapmaz, A, Wassouf, A, Aldurssi, A, Polatbekov, A, Caltagirone, A, Gori, A, Bhatt, A, Maxwell, A, Kiyabayev, A, Eltayeb, A, Khamees, A, Abdalla, A, Pikarsky, A, Trigos Diaz, A, A Elhars, A, Alhaj Zain, A, Eltahir, A, Robin Valle De Lersundi, A, Sanad, A, Abdalhadi, A, Sparke, A, Maqsood-Shah, A, Ouachhou, A, Kezze, A, Dawson, A, Mohsen, A, Brar, A, Dembele, A, Tansawet, A, Obbeng, A, Chiappini, A, Davis, A, Awidan, A, Tibude, A, Shah, A, Hilder, A, Huremovic, A, Alamin, A, Egdeer, A, Gharib, A, Choudhary, A, Amin, A, Ibrahim Hassan, A, Rashid, A, Patel, A, Sebai, A, Asla, A, Ghanbari, A, Shweiki, A, Tursunovic, A, Aboshosha, A, Elbalal, A, Abdelhalim, A, Gupta, A, Sinha, A, Al-Fandi, A, Awwad, A, Belaid, A, Khatib, A, Al-Zubeidy, A, Niazi, A, Zamareh, A, Salam, A, Ayodele, A, Al Hammoud, A, Khouli, A, Crowe, A, Surkitt, A, Alshiteewi, A, Alvarez Cuinas, A, Cabral, A, Dupont, A, Faustino, A, Carreira-Marques, A, Preto Barreira, A, Minaya Bravo, A, Pinheiro Pereira, A, Minaya-Bravo, A, Lourenco, A, Mateus Loureiro, A, Sanchez Gollarte, A, Tvaladze, A, Veira, A, Perja, A, Dusabimana, A, Herewini, A, Fatima, A, Zafar, A, Bangar, A, Kutma, A, Mehta, A, Alqerem, A, Jaber, A, Mourtzouni, A, Theochari, A, Zarafidou, A, Smyrnis, A, Tsechpenakis, A, Zakaria, A, Cardoso Almeida, A, Pita, A, Torbey, A, Abreu, A, Barberis, A, Bartalini Cinughi De Pazzi, A, Belli, A, Sironi, A, Damigella, A, Manetti, A, Mingoli, A, Natili, A, Police, A, Razzore, A, Scacchi, A, Vazquez Fernandez, A, Luzzi, A, Brosin, A, Efstathiou, A, Kirschniak, A, Panagakis, A, Pilavas, A, Scheiwiller, A, Skarpas, A, Chitul, A, Trif, A, Ferreira, A, Silva, A, Subocius, A, Cembellin, A, Garcia Marin, A, Ang, A, Gray, A, Li, A, Skreka, A, Abdul Rahim, A, Bhangu, A, Moncy, A, Mwanjoka, A, Fernandez Camunas, A, De Jesus Gil, A, Molero, A, Sultana, A, Suarez Alvarez, A, Nava Franco, A, Autiak Ayii Chol, A, Serao, A, Nikolaou, A, Hassanin, A, Evans, A, Vu, A, Lala, A, Luther, A, Sundaram, A, Cerovac, A, Abgeko, A, Agbeko, A, Sharma, A, Jain, A, Attili, A, Alecci, A, D'Amore, A, Domenech Plana, A, Gut, A, John, A, Lareida, A, Pesce, A, Paspala, A, Sharp, A, Victor, A, Comandatore, A, Olsen, A, Yiallourou, A, Loizou, A, Asare Twumasi, A, Davor, A, Tabiim, A, Lin, A, Szpytko, A, Walfor, A, Oosterkamp, A, Kachi, A, Khoneisser, A, Bediako Bowan, A, Sumbaev, A, Deserra, A, Punzengruber, A, Thanasa, A, Azzinnaro, A, Castaldi, A, Curado Soriano, A, Garcia Dominguez, A, Lai, A, Martinez German, A, Masciandaro, A, Miele, A, Ramirez Beas, A, Ramos Bonilla, A, Ramos-De la Medina, A, Zerbinati, A, Athanasiou, A, Panagidis, A, Vezakis, A, Boynes, A, Mishra, A, Singh, A, Appukuttan, A, Alhamadi, A, Gusibat, A, Seidu, A, Fuertes Munoz, A, Shanker, A, Balta, A, Panagopoulos, A, Roslani, A, Tahir, A, Hernandez, A, Roumieh, A, Pinto, A, Khanduri, A, Isik, A, Dhinakar, A, Ioannidis, A, Tsiaka, A, Balconi, A, Petrungaro, A, Narin, A, Plastiras, A, Papadopoulos, A, Kontokostopoulos, A, Bang, A, Nikitaras, A, Akiba, A, Jindal, A, Bedzhanyan, A, Fajardo, A, Antinori, A, Galvan, A, Belarmino, A, Mathew, A, Pillai, A, Alrababah, A, Shoker, A, Hai, A, Bhatti, A, Nair, A, Prasath S V, A, Krishna, A, Abdulnabi, A, Aboumedian, A, Faisal, A, Haidar, A, J, A, Choudhry, A, Albager, A, Jha, A, Chhabra, A, Choudhrie, A, Kumar, A, Tirkey, A, Oommen, A, Al-Bahla, A, Bakri, A, Maghrabi, A, Mahendran, A, Das, A, Eisa, A, Comella, A, Shanmugalingam, A, Boztas Demir, A, Zubillaga-Mares, A, Altawaiha, A, Mitsala, A, Katsiou, A, Bakalis, A, Marinis, A, Migdanis, A, Soumpasis, A, Syllaios, A, Tampakis, A, Cakmak, A, Rahman, A, Suroy, A, L'Hostis, A, Parseliunas, A, Rakotondrainibe, A, Goliath, A, Arustamyan, A, Sukhdev Jadhav, A, Chaudhary, A, Denz, A, Al Kaddah, A, Alaqtash, A, Ehab, A, Essamei, A, Kelzia, A, Farrag, A, Myintmo, A, Bibi, A, Iqbal, A, Irshad, A, Sinjab, A, Izgis, A, Almugaddami, A, Albatanony, A, Ayeni, A, Williams, A, Abunemer, A, Benmansour, A, Nidali, A, Vig, A, Emran, A, Ekpeti, A, Janjua, A, Fathi, A, Alzahrani, A, Rehmani, B, Ayoade, B, Mustapha, B, L, B, Alsharari, B, Balaravi Pillai, B, Balagobi, B, Mohamad, B, Ibrahim, B, Ali, B, Alqahtani, B, Paul, B, Yigit, B, Reverien, B, Dweik, B, Yacoub, B, Alzoubi, B, Chkir, B, M. J. Alhaj, B, Binda, B, Carvalho, B, Demurtas, B, Dieck, B, Freire, B, Gama, B, Habrat, B, Tinoco, B, Hernandez Cervantes, B, East, B, Maguire, B, Mckay, B, Zaczek, B, Dawud, B, Allbakosh, B, Yunusa, B, Aminu, B, Ibi, B, D'Souza, B, Alazabi, B, Algettawi, B, Sharaf Eldin, B, Hameed, B, Abboud, B, Al Soudi, B, Fahmy, B, Ranjous, B, Bereket Araya, B, Eyduran, B, Alsaid, B, Guerra, B, Markowska, B, De Zolt Ponte, B, Robertson-Jones, B, Sperotto, B, Cordeiro, B, Cuneo, B, De Andres-Asenjo, B, Louro, B, Estraviz, B, Khan, B, Abdennour, B, Calcano, B, Kigwe, B, Boakye, B, Agca, B, Togay, B, Esposito, B, Chiman, B, Lulham-Robinson, B, Martin, B, Peter, B, Ozcan, B, Seshie, B, Maanikuu, B, Lopes Patricio, B, Khattab, B, Johnson, B, Mcdermott, B, Neall, B, Wang, B, Roopavathan, A, Fosh, B, Sarang, B, Sv, B, R Budihal, B, Devkaran, B, Van Zyl, B, Kharga, B, Al-Sarireh, B, Duman, B, Baca, B, Down, B, Mengesha, B, Owusu Ansah, B, Radja, B, Sime, B, Capdevila Vilaro, B, Izedomi, B, Hao, B, Nimako, B, Phakathi, B, Sehgal, B, Cakpo, B, Alrayes, B, Mao, B, Bogdan-Gabriel, B, Bengaly, B, Williams, B, Cismasiu, B, Helou, B, Davies, B, Arya, B, Cirillo, B, Nardo, B, Pinto, B, Scotto, B, Vieira, B, Kadir, B, Albaihani, B, Calik, B, Citgez, B, Celik, B, Azhar, B, Alshaikh, B, Kum, B, Killoran, C, Nwachukwu, C, Hidalgo Salinas, C, Brasset, C, Bertoglio, C, Vasquez Maya, C, Zapata Syro, C, Akgun, C, Yurttas, C, Semeraro, C, Lategan, C, Boven, C, Uwakunda, C, Leal Ferrandis, C, Margiani, C, Piras, C, Samojeden, C, Vitiello, C, Feo, C, Boto, C, Roman Ortega, C, Ferreras Garcia, C, Figueiredo, C, Garcia-Salas, C, Gonzalez, C, Gonzalez Baez, C, Gracia-Roche, C, Guijarro Moreno, C, Hernandez Diaz, C, Ferrero, C, Perez Rivera, C, Jezieniecki, C, Perez - Padron, C, Leon-Espinoza, C, Nuno-Guzman, C, Macedo Cardoso De Oliveira, C, Shiraishi Zapata, C, Yanowsky-Gonzalez, C, Sorrentino, C, Tung, C, Cardoso, C, Chavarria Noya, C, Coutinho, C, Korzin, C, Maya, C, Moreno-Licea, C, Panis, C, Righetti, C, Silva, C, Soares-Aquino, C, Golliez, C, Chiam, C, Kamphues, C, Rahantasoa Finaritra, C, Assis, C, Henriques, C, Quintela, C, Rio Ferreira, C, Rolo Santos, C, Rodrigues, C, Allmer, C, Bradshaw, C, Rukundo, C, Seneza, C, Raphael, C, Guldogan, C, Bilir, C, Hacialioglu, C, Ersavas, C, Ozkan, C, Huaroto Landeo, C, Ginesta, C, Infante, C, Pastas, C, Ciubotaru, C, Narayan, C, Mahakalkar, C, Floros, C, Demiri, C, Chatzinikolaou, C, Dempers, C, Ansah Larbi, C, Banka, C, Cini, C, Dally, C, Doku, C, Ntow-Boahen, C, Nicholson, C, Cornwell, C, Stennard, C, Lionel, C, Azmat, C, Nyampinga, C, Tandup, C, Agarwal, C, Parmar, C, Pun, C, Un, C, Baars, C, Celano, C, Fumagalli, C, Marafante, C, Zandonella, C, Nwanmah, C, Osuigwe, C, Nwokoro, C, Nwosu, C, Lim, C, Onyeka, C, Uche, C, Jamieson-Grigg, C, Ong, C, Alphonse, C, Bode, C, Varghese, C, Carrillo Sarango, C, Esteo Verdu, C, Krautz, C, Mosca, C, Nimbona, C, Nikolaou, C, Wiesner, C, Kloppers, C, Kourouniotis, C, Seiler, C, Knee, C, Mpirimbanyi, C, Aboah, C, Amah, C, Cheong, C, Harmston, C, Leung, C, Seet, C, Smart, C, Chouliaras, C, Damaskos, C, Doudakmanis, C, Kaselas, C, Limas, C, Ntagkas, C, Papazacharias, C, Stefanou, C, Thrasyvoulou, C, Tsalikidis, C, Karagianni, C, Kolla, C, Ugwunne, C, Ilo, C, Nwegbu, C, Onwuzu, C, Weadick, C, De Martino, C, Donohoe, C, Gutierrez De La Rosa, C, Florian Villa, C, Petcu, C, Cecconi, C, Banal, C, Brandi, C, Hossu, C, Onuoha, C, Osime, C, Shelton, C, Fuentes Orozco, C, Adumah, C, Dina, C, Nastos, C, Aguero, C, Markin, C, Hoogerboord, C, Da Lio, C, Saviello, C, Bezede, C, Distefano, C, Elliot-Wilson, C, Bokossa, C, Lupercio Figueroa, C, Riboni, C, Meola, C, Costa, C, Gas, C, Larotonda, C, Soddu, C, Vacca, C, Vera Mansilla, C, Li, C, Agbonrofo, C, Akli-Nartey, C, Molewa, C, Nelly Rosine, C, Rega, D, Koike, D, Wickramasinghe, D, Clarke, D, Fry, D, Hannedige, D, Powell, D, Kasasbeh, D, Samardali, D, Sharl Ajami, D, Badran, D, Adjei, D, Muhie, D, Perez Munoz, D, Alifoe, D, Aparicio-Lopez, D, Banos Mendez, D, Cristian, D, Eaton, D, Gero, D, Makary, D, Montwedi, D, Munoz, D, Patterson, D, Reim, D, Agbley, D, Patino Garcia, D, Di Pietrantonio, D, Pais, D, Rosado, D, Tavares, D, Alberti, D, Fusario, D, Massaro, D, Paglione, D, Pironi, D, Kurochka, D, Centonze, D, Hackner, D, Herrera, D, Amangaliyev, D, Silva-Cano, D, Chaudhry, D, Palmisano, D, Ribero, D, Vukosav, D, Misca, D, Lowen, D, Rattray, D, Walia, D, Maan, D, Muyenzi, D, Verdi, D, Bardsley, D, Reyes Rodriguez, D, Fra Corral, D, Garcia Lopez De Goicoechea, D, Gavit, D, Gomez, D, Idowu, D, Konkin, D, Labadah, D, Liu, D, Merlini, D, Mitchell, D, Moro-Valdezate, D, Osifo, D, Proud, D, Ridder, D, Gobatti, D, Muschitiello, D, Pertile, D, Zulian, D, Mengiste, D, Mikami, D, Mohanty, D, Chatterjee, D, Komolafe, D, Scotto Di Carlo, D, Wright, D, Rahme, D, Talreja, D, Jain, D, Rajput, D, Singh, D, Anbu, D, Ibrahim, D, Phom, D, Hili, D, Osei, D, Daary, D, Kyeremeh, D, Shen, D, Uymaz, D, Cianflocca, D, Ashitey, D, Evripidou, D, Papageorgouli, D, Kaushal, D, Abeysirigunawardana, D, Dugar, D, Mallik, D, Ghosh, D, Houmran, D, Abdulrahman, D, Pantoja Pachajoa, D, Cardona Gomez, D, Fenner, D, Gonzalez, D, Siriwardena, D, Garces Palacios, D, Stoian, D, Zuikyte, D, Sosa Mendez, D, Wickramarathna, D, Mutter, D, Palma Portillo, D, Chavez Fernandez, D, Cordova Garcia, D, Enjuto, D, Giulitti, D, Sasia, D, Visconti, D, Yigit, D, George, D, Rabaia, D, Georgiev, D, Hadzhiev, D, Alexandrou, D, Balalis, D, Giakoustidis, D, Manatakis, D, Korkolis, D, Lytras, D, Massaras, D, Moris, D, Politis, D, Sampanis, D, Schizas, D, Tsiardas, D, Vardakostas, D, Kotsaris, D, Khattab, D, M. Awad, D, Alrokh, D, Schippers, D, Waleed, D, Salinovic, D, Goncalves Murias Gomes, D, Silva, D, Vaz Acosta, D, Morton, D, Panagopoulos, D, Kelgiorgi, D, Dellaportas, D, Prevezanos, D, Joshi, D, Ozal, D, Chimkaomasiri, D, Jabbar, D, Nepogodiev, D, Belekar, D, Abdalaziz, D, Abunemer, D, Attia, D, Elkafrawy, D, Dimitrov, D, Pignatelli, D, Merlicco, D, Soriero, D, Zerbo, D, Atouguia, D, Fairbrass, D, T. Enti, D, Venskutonis, D, Rukavina, D, Caruso, D, Herappe, D, Lee, D, Ofosuhene, D, Hajela, A, Badwan, B, Kulkarni, D, Dhawan, D, Dhillon, J, Mehmood, M, Mahmood, N, Nikam, N, Ramchandani, R, Thind, R, Riazhussain, D, Maqsood, S, Alalawi, Y, Tyagi, H, Kshirsagar, S, Ahmed, H, Juan Carlos, L, Kone, D, Omar, D, Alves, D, Subasinghe, D, Ommi, D, Joshiba, D, Chakarov, D, Arkoh, E, Frimpong-Manso, E, Ada, E, Lincango, E, Lozada Hernandez, E, Hodzic, E, Di Marco, E, Baccalini, E, Baldini, E, Gonzalez Marin, E, Gutierrez, E, Sepulveda, E, Dainius, E, Zhang, E, Yenli, E, Antoniou, E, Kapasakis, E, Baili, E, Poulios, E, Kubiliute, E, Osaze, E, Afeikhena, E, Elshennawy, E, Athanasopoulou, E, Synekidou, E, Ekaladze, E, Tampaki, E, Adam, E, Adel Hamdoun Aziz, E, Yousuf, E, Gialamas, E, Spartalis, E, Bedzhanyan, E, Toma, E, Dauksaite, E, Desiato, E, Dvivedi, E, Hadzhieva, E, Marti Cunat, E, Montalban Martinez, E, Montanari, E, Signaroli, E, Efremidou, E, Gavriil, E, Karakeke, E, Mavrodimitraki, E, Papamattheou, E, Jose, E, Cianci, E, Ciccioli, E, Daleva, E, Locci, E, Lori, E, Silanos, E, Ayala, E, Bankart, E, Brolese, E, Efstathiou, E, Salloum, E, Colak, E, Terzi, E, Ametefe, E, Cagigal Ortega, E, Donnarumma, E, Mina, E, Reitano, E, Wallner, E, Moggia, E, Betz, E, Kontis, E, Anestiadou, E, Gimson, E, Lun, E, Fraser, E, Li, E, Torres De Anda, E, Murphy, E, O'Connell, E, Redondo, E, Francis, E, Haiden, E, Hamed, E, Alkhalifa, E, Dexter, E, Daketsey, E, Setsoafia, E, Mohamed, E, Mohammed, E, Hegab, E, Ay, E, Adinolfi, E, Mbanzabugabo, E, Chin, E, Ahmed, E, Younes, E, Basile, E, Gessa, E, Pontecorvi, E, Romairone, E, Hatangimana, E, Ndizeye, E, Ciofic, E, Dijan, E, Lopez-Negrete Cueto, E, Baker, E, Reid, E, Schmidt, E, Alic, E, Bicakcic, E, Agbowada, E, Colton, E, Downing, E, Haege, E, O'Neill, E, Roussos, E, Nachelleh, E, Adebunmi, E, Obiesie, E, Akakpo, E, Konlan, E, Nwangwu, E, Kafui Ayodeji, E, Ofori, E, Spanoudakis, E, Abate, E, Balik, E, Bozdag, E, Bozkurt, E, Karabulut, E, Ozoran, E, Tunccan, E, Tuzuner, E, Halilovic, E, Alabed, E, Zidan, E, Aybar, E, Yildirim, E, Wong, E, Yhoshu, E, Bisogno, E, Andolfi, E, Ferri, E, Potenza, E, Spalice, E, Volpin, E, Gonzalez, E, Downes, E, Gallo, E, Kamer, E, Naidoo, E, Erginoz, E, Bara, E, Irungu, E, Garcia-Villegas, E, Mazzotta, E, Monati, E, Chan, E, Gomez Mejia, E, Dylja, E, Somuncu, E, Yavuz, E, Begunic, E, Margelis, E, Osei, E, Saitoglou, E, Agastra, E, Mazumdar, E, Soyer Guldogan, E, Abu Siam, E, Abdelbaset, E, Abdu, E, Adel Mahmod Sultan, E, Nubi Mohamed, E, Abuobaida Banaga Hag El Tayeb, E, Ali, E, Page-Taylor, E, Marra, E, Garcia Santos, E, Elsheikh, E, Unal, E, Tan, E, De Leo, E, Borges, E, Gaspar, E, Ruiz-Daum, E, Apostolopoulos, E, Samara, E, Barkolias, E, Fradelos, E, Hopping, E, Romo Ascencio, E, Sosa Ferreira, E, Shestakov, E, Tyurina, E, Hristova, E, Efthymiou, E, Tokidis, E, Harrison, E, Dontoh, E, Mansour, E, Yeshialem, E, Dabbagh, E, Amer, E, Manasci, F, Gomes, F, Medas, F, D'Acapito, F, Vassallo, F, Haddad, F, Elhabishi, F, Akhtar, F, Tauheed, F, Al Abbood, F, Gareb, F, Ghazali, F, Alnazawi, F, Ondago, F, Rasoaherinomenjanahary, F, Wiese, F, Gonzalez Ponce, F, Georgiades, F, Ali, F, Galley, F, Huda, F, Amir, F, Ashraf, F, Alfarsi, F, Ayasra, F, Mahmoud, F, Aliskander, F, Tahir Lwdie, F, Buyuker, F, Aguilar Del Castillo, F, Mohammed Daoud, F, Alowjaly, F, Oni, F, Rauf, F, Elkhafeefi, F, Hourri, F, Monib, F, Alshreef, F, Benghalbon, F, Ntirenganya, F, Chahrour, F, Ahmad, F, Parray, F, Philips, F, Campus, F, Di Marco, F, Ferraina, F, Frongia, F, Maffeis, F, Natali, F, Pederiva, F, Scolari, F, Tofani, F, Marin, F, Biolchini, F, Cappellacci, F, Corronca, F, Mazzola, F, Suldrup, F, Nyarko, F, Casas J, F, Zapata, F, Aigner, F, Alakaloko, F, Amoako, F, Camacho, F, Hammett, F, Kuubetersob, B, Alahmad, F, Alnimri, F, Gool, F, Castro, F, Diaz, F, Lucero, F, Vovola, F, Mahnic, F, Mercado Sanchez, F, Prieto La Noire, F, Soggiu, F, Tsige, F, Brzeszczynski, F, Rudisch, F, Valente Costa Pinto, F, Ramalho De Almeida, F, Banchini, F, Palomino Escalante, F, Fadzlullah, F, Terefe, F, Sulo, F, Ciccarone, F, Tirelli, F, Kramer, F, Grama, F, Spanos, F, Solimene, F, Akinwande, F, Osman, F, Stefou, F, Kyramargios, F, Stavratis, F, Alassani, F, Ascari, F, Cammelli, F, D'Agostino, F, Tropeano, F, Peters, F, Re, F, Brucchi, F, Casti, F, Coratti, F, Ferrara, F, Floris, F, Izzo, F, Maffei, F, Palmieri, F, Pata, F, Porcelli, F, Selvaggi, F, Velluti, F, Mulita, F, Bello, F, Caiquo, F, Dossou, F, Eshun, F, Opoku Twene, F, Tierenye, F, Quayson, F, Romo Rosales, F, Ibanez Ortiz, F, Leon Frutos, F, Redondo Calvo, F, Silva Rivera, F, Barbosa Camacho, F, Bujalance Cabrera, F, Ruescas, F, Irakiza, F, Corvatta, F, Pascual, F, Roviello, F, Roodt, F, Gyamfi, F, Olaniru, F, Owusu, F, Bader, F, Anzinger, F, Agbodo, F, Ris, F, Agbemafoh, F, Afonso, F, Nazareth, F, Berrevoet, F, Hounde, F, Demiral, F, Hassooni, F, Kafa, G, Cardenas Rivera, G, Ntwari, G, Szydlo Shein, G, Ambriz Gonzalez, G, Nita, G, Bellio, G, Moitzi, G, Urdang, G, Marom, G, Gallo, G, Luglio, G, Poillucci, G, Singh, G, Saletta, G, Abouelnagah, G, Yarovenko, G, Kazobinka, G, Ahmed, G, Rahman, G, Smith, G, Pillai, G, Saxena, G, Gbessi, G, Nkunguzi, G, Jalal, G, Chillarge, G, Mevognon, G, Getachew, G, George, G, De La Pena Gonzalez, G, Martinez Izquierdo, G, Grande, G, Birikorang, G, Weber, G, Singer, G, Ansong, G, Bashour, G, Brown, G, Hneino, G, Kavalieratos, G, Kenchadze, G, Nagy, G, Pappas Gogos, G, Skroubis, G, Waiyaki, G, Cox, G, Zeringa, G, De Wee, G, Hart, G, Bekakos, G, Fragulidis, G, Kapogiannatos, G, Karakaidos, G, Kokkinos, G, Kostoulas, G, Koukoulis, G, Peros, G, Rados, G, Tsoulfas, G, Verras, G, Berger, G, Adoro, G, Chamoso Mialdea, G, Palmieri, G, Procaccini, G, Steenkamp, G, Viscido, G, Dajti, G, Alemayehu, G, Seyfu, G, Birqeeq, G, Alsheikh, G, Alrayyes, G, El Hunjul, G, Zaza, G, Matroud, G, Alhadwah, G, Maltinti, G, Awais, G, Shamsi, G, Calini, G, Carganico, G, Zanus, G, Canu, G, Mendiola, G, Ibero Casadiego, G, Cocorullo, G, Baronio, G, Pellino, G, Zanni, G, Poto, G, Gravante, G, Aduroja, G, Almogy, G, Bond-Smith, G, Natchagande, G, Bechara, G, Brachini, G, Riccioli, G, Ercolani, G, Farris, G, Giraudo, G, Mammolo, G, Pavone, G, Sgarzini, G, Aprea, G, Fonsi, G, Boroni, G, De Angeli, G, De Palma, G, Emiliani, G, Grava, G, Guercio, G, De Carlo, G, Del Corpo, G, Duranti, G, Galatioto, G, Grassi, G, Graziano, G, Marini, G, Munzi, G, Tarantino, G, Borda-Luque, G, Pellicano', G, Canonico, G, Carollo, G, Ietto, G, Palomba, G, Pascarella, G, Salamone, G, Sica, G, Sorrentino, G, Orlando, G, Pignata, G, Pisarevi, G, Akcakoca, G, Owusu, G, Yohanna Abrak, G, Kurtoglu, G, Kurtoglugk, G, Alici, G, Delgado Hernandez, G, Augustin, G, Bhat, G, Sundaram Venkatesan, G, Chang, G, Eke, G, Lee, G, Massarra, G, Travaglini, G, Scialandrone, G, Stavrou, G, Di Franco, G, Charalambous, G, Christodoulidis, G, Kouraklis, G, Goodwin, G, Devidze, G, Fialho, G, Santos, G, Cabezudo, G, Garcia-Santos, G, Pou, G, Romero Reyna, G, Yanowsky-Reyes, G, Ozyuksel, G, Karadeniz Cakmak, G, Kucuk, G, Bulbuloglu, G, Sarp, G, Kaur, G, Nibogora, G, Hamdan, G, Ogundipe, H, Yunes, H, Ayesh, H, Al Atassi, H, Jalilehvand, H, Masalma, H, Jafarkhan, H, Shahid, H, Younus, H, Al-Derume, H, Shames, H, Mimouni, H, Aldare, H, Odah Bashi, H, Abusnina, H, Altounsi, H, Qayum, H, Baysal, H, Bolukbasi, H, Yigitbas, H, Alkhatib, H, Afzal, H, Mftah, H, Oyinlola, H, Tumer, H, Dolo, H, Braham, H, Ozsahin, H, Abu-Arish, H, Al-Aamri, H, Fadlalmola, H, Abu Obead, H, Al-Fahel, H, Al-Zoubi, H, Asaad, H, Ejaz, H, Jaber, H, Bhatti, H, Mohammadi Sardoo, H, Farhat, H, Idheiraj, H, Zwaraa, H, Al Sohabi, H, Basharat, H, Said, H, Al-Abdallat, H, Foad, H, Daaboul, H, Al Qadhi, H, Elhallaq, H, Alhusaini, H, Lidbetter, H, Reilly, H, Moya-Ambriz, H, Lederhuber, H, Fehrer, H, Xiao, H, Iswariah, H, Kaur, H, Cheema, H, Foda, H, Chauhan, H, Sagar, H, Unwin, H, Panga, H, Gupta, H, Prabhakar, H, Anand, H, Pahwa, H, Abbadi, H, Amoudi, H, Zaini, H, Skiljo, H, Miyasika, H, Altabbaa, H, Haj Freej, H, Abdelazim, H, Habiba, H, Kamal, H, Sabir, H, Zaigham, H, Pehlivan, H, Telci, H, Abuobaida, H, Tetley, H, Taher, H, Aguado Lopez, H, Askarpour, H, Sherif Farouk Ahmed Hassan, H, Devesa, H, Arbogast, H, Nunez Del Barrio, H, Abiyere, H, Delacave, H, Rice, H, Pleass, H, Bradly, H, Islam, H, Lule, H, Abozied, H, Le Roux, H, Hamdar, H, Yaghmour, H, Bileid Bakeer, H, Al Miskry, H, Ulman, H, Abdoun, H, Essalim, H, Yonekura, H, Kato, H, Amin-Tai, H, Kynaston, H, Perez Baca, H, Irfan Khan, H, Amir, H, Elghadban, H, Elfeki, H, Wain, H, Adjei, H, Dabrowski, H, Novak, H, Alzuhd, H, Capote, H, Gomez-Fernandez, H, Stark, H, Willy-Chidire, H, Aouagbe Behanzin, H, Oneizah, H, Dalati, H, Ebied, H, Mahajna, H, Ahmad, H, Altawati, H, Adi, H, Albalawi, H, Alfakeer, H, Embarek, H, Ibrahim, H, Malkawi, H, Ekwuazi, H, Psilopatis, I, Wasiu, I, Kereet, I, Suleiman, I, Fortune, I, Aburumman, I, Adel, I, Adham, I, Ali, I, Arnaout, I, Cakir, I, Fagiri, I, Hajmohammed, I, Ozata, I, Kandil, I, Ahmed, I, Tagreda, I, Garzali, I, Nadi, I, Ogundele, I, Pius Ogolekwu, I, Shariff, I, Jakaityte, I, Abdullah, I, Babajimi-Joseph, I, Guirguis, I, Orji, I, Okoro, I, Obianyo, I, Njere, I, Ugwueke, I, Nzenwa, I, Zerrouq, I, Clementi, I, Neri, I, Yavuz, I, Hoxhaj, I, Fakhradiyev, I, R Fakhradiyev, I, Gomatos, I, Fidoshev, I, Gouazar, I, Alnimer, I, Boudis, I, Boumakhlouf, I, Abdalla, I, Herrero, I, Osman, I, Nasser, I, Singh, I, P S, I, Borges Da Costa, I, Colaco, I, Lourenco, I, Mogarrio, I, Konigsrainer, I, Hamdun, I, Tanase, I, Bokos, I, Contis, I, Demiris, I, Gerogiannis, I, Gogoulis, I, Karatsolis, I, Katsaros, I, Kozadinos, I, Margaris, I, Maroulis, I, Papaconstantinou, I, Siannis, I, Sougkas, I, Spyridakis, I, Tierris, I, Tsakiridis, I, Imihteev, I, Negoi, I, Chatzis, I, Shahbaz, I, Didier, I, Pipia, I, Parwaiz, I, Duran Sanchez, I, Norman, I, Bakaweri, I, Santos, I, Mylona, I, De Haro Jorge, I, Cervera, I, Dajti, I, Datji, I, Matache, I, Russo, I, Aremu, I, Amankwaa, I, Caitens, I, Esparza Estrada, I, Mubezi, I, Gascon Ferrer, I, Serrano, I, Dong, I, Mondi, I, Serfontein, I, Rakshit, I, Kyei, I, Murshed, I, Cabrera, I, Abo Elhagag, I, Alsoubie, I, Lawani, I, Bilgin, I, Cholah, I, Hamzaoglu, I, Maharem, I, Shehadeh, I, Hagbevor, I, Bahikoro, I, Laopeamthong, I, Mikulic, I, Bacic, I, Rakvin, I, Separovic, I, Vidic, I, Conversano, I, Mrazkova, I, Yotsov, I, Ilieva, I, Coza, I, Aljada, I, Hussein, I, Tesfahun, I, Sadiq, I, Martinez Martin Del Campo, J, Mackenzie, J, Maida, J, Kaippally, J, Montero Garcia, J, Andreuccetti, J, Martellucci, J, Secchi, J, Van Niekerk, J, Saunders, J, Duffield, J, Tavares-Ortega, J, Orozco-Perez, J, Mihanovic, J, Wolesky, J, Bryan, J, Bundred, J, Cui, J, Glasbey, J, Casella Mariolo, J, Suliman, J, Mohammad Mohammad, J, Bolanowski, J, Goedeke, J, Grosek, J, Moravik, J, Ringers, J, Roman, J, Chew, J, Maritz, J, Martin, J, Velkoski, J, Wong, J, Garcia-Quijada, J, Tk, J, Siby, J, Mcnab-Hand, J, Gusa, J, 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A., Jarimba A., Johnson A., Nunez Venzor A., Gonzalez Ojeda A., Romero De Diego A., Karamarkovic A., Butyrskii A., Edmundson A., Sidorova A., Thomas A., Tomazic A., Giuliani A., Iodice A., Marano A., Marello A., Ongaro A., Saba A., Anastasi A., Borello A., Broglia A., Carta A., Finocchio A., Francia A., Iacomino A., Izzo A., Ottaiano A., Spaziani A., Strumia A., Biancafarina A., D'Ignazio A., Davolio A., Morello A., Licciardello A., Mazzoni A., Wilkins A., Arekhandia A., Barlas A., Chamzin A., Demetriou A., Giakoustidis A., Kozadinos A., Kyriakidis A., Sarakatsanos A., Rojas A., Saridaki A., Litchinko A., Arnaud A. P., Binder A. -D., Yakubu A., Kavalakat A., Shamsutdinova A., Alberico A., Amendola A., Sanchez-Teran A. I., Lapergola A., Baiden Amissah A., Konigsrainer A., Twumasi A., Alhebshi A., Abbas A., Abdul Rahman A., Abidali A., Abu Tair A., Ahmad A., Al Mukhtar A., Sharq A. A., Alloush A., Amaigl A., Kheirkhah Vakilabad A. A., Bassma A., Hacioglu A. 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C., Damigella A., Manetti A., Mingoli A., Natili A., Police A., Razzore A., Scacchi A., Vazquez Fernandez A., Luzzi A. -P., Brosin A., Efstathiou A., Kirschniak A., Panagakis A., Pilavas A., Scheiwiller A., Skarpas A., Chitul A., Trif A., Ferreira A., Silva A., Subocius A., Cembellin A., Garcia Marin A., Ang A., Gray A., Li A., Skreka A. -M., Abdul Rahim A. A., Bhangu A., Moncy A., Mwanjoka A., Fernandez Camunas A., De Jesus Gil A., Molero A., Sultana A., Suarez Alvarez A. A., Nava Franco A. M., Autiak Ayii Chol A., Serao A., Nikolaou A. I., Hassanin A., Evans A., Vu A., Lala A. K., Luther A., Sundaram A., Cerovac A., Abgeko A. E., Agbeko A. E., Sharma A., Jain A., Attili A., Alecci A., D'Amore A., Domenech Plana A., Gut A. E., John A., Lareida A., Pesce A. L., Paspala A., Sharp A., Victor A., Comandatore A., Olsen A., Yiallourou A., Loizou A., Asare Twumasi A., Davor A., Tabiim A. J., Lin A., Szpytko A., Walfor A., Oosterkamp A., Kachi A., Khoneisser A., Bediako Bowan A., Sumbaev A., Deserra A., Punzengruber A., Thanasa A., Azzinnaro A., Castaldi A., Curado Soriano A., Garcia Dominguez A., Lai A., Martinez German A., Masciandaro A., Miele A., Pesce A., Ramirez Beas A., Ramos Bonilla A., Ramos-De la Medina A., Zerbinati A., Athanasiou A., Panagidis A., Vezakis A., Boynes A., Mishra A., Singh A., Appukuttan A., Alhamadi A., Gusibat A., Seidu A. S., Fuertes Munoz A. N., Shanker A., Balta A., Panagopoulos A., Roslani A., Tahir A., Hernandez A., Roumieh A., Pinto A., Khanduri A., Isik A., Dhinakar A. S. P., Ioannidis A., Tsiaka A., Balconi A., Petrungaro A., Narin A. 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A., Smith G., Pillai G., Saxena G., Gbessi G., Nkunguzi G., Jalal G., Chillarge G., Mevognon G., Getachew G., George G., De La Pena Gonzalez G., Martinez Izquierdo G., Grande G., Birikorang G., Weber G. F., Singer G., Ansong G., Bashour G., Brown G. D., Hneino G., Kavalieratos G., Kenchadze G., Nagy G., Pappas Gogos G., Skroubis G., Waiyaki G., Cox G., Zeringa G., De Wee G., Hart G., Bekakos G., Fragulidis G., Kapogiannatos G., Karakaidos G., Kokkinos G., Kostoulas G., Koukoulis G., Peros G., Rados G., Tsoulfas G., Verras G. -I., Berger G., Adoro G. A., Chamoso Mialdea G., Palmieri G., Procaccini G., Steenkamp G., Viscido G. R., Dajti G., Alemayehu G., Seyfu G., Birqeeq G., Alsheikh G., Alrayyes G., El Hunjul G. N., Zaza G., Matroud G., Alhadwah G., Maltinti G., Awais G., Shamsi G., Calini G., Carganico G., Zanus G., Canu G. L., Mendiola G., Ibero Casadiego G. P., Cocorullo G., Baronio G., Pellino G., Zanni G., Poto G. 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R., Devidze G., Fialho G., Santos G., Cabezudo G., Garcia-Santos G., Pou G., Romero Reyna G., Yanowsky-Reyes G., Ozyuksel G., Karadeniz Cakmak G., Kucuk G. O., Bulbuloglu G. C., Sarp G., Kaur G., Nibogora G. D., Hamdan G., Ogundipe H., Yunes H., Ayesh H., Al Atassi H., Jalilehvand H., Masalma H., Jafarkhan H., Shahid H. H., Younus H., Al-Derume H., Shames H., Mimouni H. A., Aldare H., Odah Bashi H. O., Abusnina H., Altounsi H., Qayum H., Baysal H., Bolukbasi H., Yigitbas H., Alkhatib H., Afzal H., Mftah H., Oyinlola H., Tumer H., Dolo H., Braham H., Ozsahin H., Abu-Arish H., Al-Aamri H., Fadlalmola H. A., Abu Obead H., Al-Fahel H., Al-Zoubi H., Asaad H., Ejaz H., Jaber H., Bhatti H. W., Mohammadi Sardoo H., Farhat H., Idheiraj H., Zwaraa H., Al Sohabi H., Basharat H., Said H., Al-Abdallat H., Foad H., Daaboul H., Al Qadhi H., Elhallaq H., Alhusaini H., Lidbetter H., Reilly H., Moya-Ambriz H. B., Lederhuber H., Fehrer H. -J., Xiao H., Iswariah H., Kaur H., Cheema H. 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A., Dalati H., Ebied H., Mahajna H., Ahmad H., Altawati H., Adi H., Albalawi H., Alfakeer H., Embarek H., Ibrahim H., Malkawi H., Ekwuazi H., Psilopatis I., Wasiu I., Kereet I. M., Suleiman I., Fortune I., Aburumman I., Adel I., Adham I., Ali I., Arnaout I., Cakir I., Suleiman I. E., Fagiri I., Hajmohammed I., Ozata I. H., Kandil I., Ahmed I. M. G., Tagreda I., Garzali I. U., Nadi I., Ogundele I., Pius Ogolekwu I., Shariff I., Jakaityte I., Abdullah I., Babajimi-Joseph I., Guirguis I., Orji I., Okoro I., Ahmed I., Obianyo I., Njere I., Ugwueke I., Nzenwa I. C., Zerrouq I., Clementi I., Neri I., Yavuz I. E., Hoxhaj I., Fakhradiyev I., R Fakhradiyev I., Gomatos I., Fidoshev I., Gouazar I., Alnimer I., Boudis I. E., Boumakhlouf I. E., Abdalla I., Herrero I., Osman I., Nasser I., Singh I., P S I., Borges Da Costa I., Colaco I., Lourenco I. M., Mogarrio I., Konigsrainer I., Hamdun I. H. S., Tanase I., Bokos I., Contis I., Demiris I., Gerogiannis I., Gogoulis I., Karatsolis I., Katsaros I., Kozadinos I., Margaris I., Maroulis I., Papaconstantinou I., Siannis I., Sougkas I., Spyridakis I., Tierris I., Tsakiridis I., Imihteev I., Negoi I., Chatzis I., Shahbaz I., Didier I., Pipia I., Parwaiz I., Duran Sanchez I. I., Norman I., Bakaweri I. N., Santos I., Mylona I. C., De Haro Jorge I., Cervera I., Dajti I., Datji I., Matache I. M., Russo I. S., Aremu I. I., Amankwaa I., Caitens I., Esparza Estrada I., Mubezi I., Gascon Ferrer I., Serrano I., Dong I., Mondi I., Serfontein I., Rakshit I., Kyei I., Murshed I., Cabrera I., Abo Elhagag I., Alsoubie I., Lawani I., Bilgin I. A., Cholah I., Hamzaoglu I., Maharem I., Shehadeh I., Hagbevor I., Bahikoro I. W., Laopeamthong I., Mikulic I., Bacic I., Rakvin I., Separovic I., Vidic I., Conversano I., Mrazkova I., Yotsov I., Ilieva I., Coza I., Aljada I., Hussein I., Tesfahun I., Sadiq I., Martinez Martin Del Campo J. 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A., Omoike O., cancar O., Ekwunife O. H., Emuze O., Eljizoly O. A., Al Hamdani O., Emadeldeen O., Morgan O., Olajumoke O., Popoola O., Ajiboye O., Olasehinde O., Jolayemi O., Babatunde O., Balogun O., Olajide O., Lisin O., Bellou O., Juric O., Ladlow O., Whitehurst O., Camilleri O., Montano Angeles O., Pryer O., Ray O., Gabom O., Ndizeye O., Ojewuyi O., Oluyemi O., Elebute O., Ogunsua O., Fasiku O. K., Fasoro O., Fatudimu O., Osunlusi O., Owolanke O., Oso O., Alaba O., Ojo O., Oluseye O., Oyinloye O., Al Alyani O., Okrah O., Agha O., Al-Fahel O., Almomani O., Alruwaili O., Ibarra O., Ibrahim O., Khalil O., Kouli O., Lima Azurdia O., Mansour O., Mohamed Mokbel O., Omar O., Bedak O., Ozkan O. F., Yalkin O., Mohamed O., Ayandipo O., Faboya O., Williams O. M., Irowa O., Attawodi O., Salako O., Ioannidis O., Agcaoglu O., Martin Sole O., Webster O., Abouhiekal O., Al Shaqran O., Bahsas-Zaky O., Nubi O. G., Hany O., Matar O., Mahafdah O. R., Sarhan O., Osagie O., Soublett Rivas O. A., Gulcicek O. B., Cuenca Torres O. M., Carpineto Samorani O., Arsalan O., Coyoy-Gaitan O., Nouhail O., Boujidi O., Dicko O. A. A., Ahmad O., Christianah O., Kupcuoglu O., Zanbak Mutlu O. P., Chadha P., Prabhu P. S., Carmignani P., Arteaga Asensio P. C., Del Val Ruiz P., Royo Dachary P., Sancho Pardo P., Vasquez P., Sukhvibul P., Assouto P., Evangelou P., Dorovinis P., Kapsampelis P., Kokoropoulos P., Kostoglou P., Manikis P., Sakarellos P., Lykoudis P., Kumar P., Patel P., Paraskeva P., Vassiliu P., Antonakis P., De Nardi P., Marongiu P., Kamenova P., Venturelli P., Belotti P., Ubiali P., Grivas P., Stamopoulos P., Chatzikomnitsa P., Trakosari P., Tekam Wadje P. S., Manjunath P., Gupta P., Dhamija P., Haque P., Haque P. D., Haque P. W., Nze Obiang P. C., Probst P., Chiacchio P., Cianci P., Favoriti P., Koggoh P., Bernardo P., Omwansa P., Serrano Mendez P., Owens P., Tang P., Walker P., Chimezie Andrew P., Trinity P., Wilson P., George P. 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A., Katragadda S., Edem S., Irrinki S., Shivashankar Chikkanayakanahalli S., Bertone S., Karmarkar S., Abbas S., Alashhab S., Alsaeiti S., Andrade S., Egreara S., Elfallah S., Galati S., Garcia Lopez S., Giovampietro S., Ismail S., Kamari S., Lauricella S., Marzorati S., Mohammed S., Moschella S., Mostafa Yassin S., Patrocinio S., Massa S. T., Vertaldi S., Abdelmohsen S., Al Sharie S., Barbosa Castelo Branco S., Bowman S., Condron S., Elfurdag S., Ellouzy S., Fennelly S., Mansour S., Molfino S., Qwyder S., Rennie S., Robinson S., Segnitome S., Staight S., Yassin S., Alsibai S., Khan S., Khurana S., Rafiq S., Malhi S. S., Dognia S., D A S., Babu S., Subbiah Nagaraj S., Meena S. P., Vasquez S., Bradulskis S., Mikalauskas S., Laura S. G., Verhage S. S., Simeonidis S., Sarwary S. H., Naidu S., Schimpke S., Davis S., Stevens S., Sierra S., Dos Santos S., Strachan S., Bektas S., Atupra S. A. A., Kreid S., Bugren S., Saudi-Moro S., Ashini S., Aboseif S., Abdul Rahman S. -A., Karim S., Ozturk S., Akuffo S., Awad S., Srishankar S., Tobome S. R., Malek S., Quartarone S., Grimaldi S., Guarriello S., Kalenga S., Katorkin S., Trujillo Ponce S. A., Villeda S. A., Intini S. G., Vazquez-Sanchez S. J., Salido S., Valeri S., Yilmaz S., Meric S., Bensalem S., Sucu S., Uludag S. S., Torres Rodriguez S. T., Ooi S., Luciano S., Houndji S. F. A., Agordjor S., Ward S., Samardali S., Altoume S., Mahfoud S., Razaq S., Husanov S., Islam S., Waqar S. H., Kumaran S., Magrhi S., Zhang S., Kashyap S., Karandikar S., Sundaramurthy S., Chowdhury S., Jayasekara S., Laura S., Shanker S., Ababneh S., Gilbert S., Kenworthy S., Ng S. H. M., Mackenzie S., Salindera S., Khattak S., Loke S. N., Manzoor S. 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B., Sellahewa S., Neogi S., Burger S., Polat S., Alkadi S., Asiri S., Otho S., Mewa Kinoo S., Ebrahim S., Tontus S., Midya S., Thuraisamy Sarma S. I., Payyanur Thotan S., Kumar Venkatappa S., Techapongsatorn S., Kaur S., Jp S., Tan S., Djote S. M., Surendran S., Chilaka S., Lee S., Henriques S., Giridaran S., Achugatla S., Kumar S., Brincat S., Deshpande S., Batista S., Akharaekpanya T., Moges T. G., Turkmen T. B., Alhaj Hasan T., Alshawabkeh T., Majed T., Lawal T. A., Ibiyeye T. T., Rashid T., Kosir Bozic T., Mohammed T., Khewater T., Abelman T., Al Barhi T., Mogne T., Salazar-Lorenzana T. A., Akter T., Gomez Sanz T., Motiwala T., Valizadeh Elizeh T., Almahdi T., Albushary T. A., Abdulrahman T., Finlay T., Chouari T., Awad T., Sabra T., M. Abubasheer T., Alhusban T., Yilmaz T. E., Aloqaili T., Aldirawi T., Karahasanoglu T., Gulsen T., Jemal T., Nadeem T., Singh T. P., Alinger T., Longkumer T., Lo T., Gimenez Maurel T., Uprak T. K., Petropoulou T., Rawther T., Techapongsatorn T., Manickam T., Padioti T., Kozonis T., Sidiropoulos T., Tsirlis T., Theodosopoulos T., Hessou T. K., Uiyapat T., Agyen T., Harris T., Hugh T. J., Jorgensen T. W., Theivendrampillai T., Pham T. V., Branco T., Nagwamutse T. N., Tony V T., Devabalan Koil T., Pilia T., Abdulmola T. M. A., Oyeyemi T., Kebede T., Ibarra-Hurtado T. R., Reichelt T., Gach T., Stefura T., Wojewoda T., Soric T., Risteski T., Tridip T. D. B., Yotsov T., Doma Bhutia T., Girma T., Kwan T. Y., Ivanov T., Iahmo T. T., Ashkar T., Mabogoane T., Olobatoke T., Sholadoye T. T., Mishra T. S., Parker T., Ezomike U., Dilibe U., Kumbhar U., Una U. -A., Grossi U., Ezidiegwu U., Edith U., Daspal U., Kalu U. A., Dietz U., Ronellenfitsch U., Wirth U., Abdullah U., Rivolta U., Jayarajah U., Kanyan Kassim U. -H., Govindan U., Fernandes U., Akram U., Mohammed Bello U., Omara U., Naidoo U., Mahendravarman V., Negoita V. M., Mariottini V., Murzi V., Zucchini V., Agbakwuru V., Armenta Tapia V. E., Gentilino V., Borgogni V., Ng V., Wolfschluckner V., Silvestri V., Zufic V., Gunasaegaram V., Kamalathevan V., Pillay V., Neykov V., Kalles V., Mousafeiris V., Papadopoulos V., Tsaousis V., Tselepidis V., Vougas V., Georgilaki V., Nikolaou V., Themelidi V., Manchev V., Ioannou V., Jha V. S., Dragisic V., Sutharshan V., Alonso V., Brocco V., Ongil Rodriguez V., Schirinzi V., Budyakova V., Naunova V., Panduro-Correa V., Ruiz Lopez V. A., Bill V., Dassah V., Gonzabay V. E., Etwire V., Modekwe V., Serna-Alarcon V., De Donato V. U., Duque Mallen V., Liu V., Sharma V., Kumar V., Muralidharan V., Kakotkin V., Enemuo V., Kudoh V., Osoka V., Siepaal V., Granata V., Dinuzzi V. P., Lizzi V., Ricchiuti V., Mosca V., Kanna D V., Nair V. V., Ledda V., Michael V., Singh V., Govindasamy V., Kollengode V. 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O., Huang Y., Mintz Y., Perez Y., Chamara Y., Melkamu Y., Maestre Gonzalez Y., Dean Y., Metaferia Y. Y., Malki Y., Mohamed Y., A. Omar Y., Alhammoud Y., Allaoua Y., Tanas Y., El Okazy Y., Kerolous Y., Al-Junaidi Y., Lakdawala Y., Lu Y., Asano Y., Altinel Y., Aktimur Y. E., Fishman Y., Kudryavcev Y., Tandogan Y. I., Razafimandimby Y. M., Adofo-Asamoah Y., Senol Z., Odeh Z., Benamrouche Z. R., Alkhaier Z., Al-Sheikh Ali Z., Zaher Z. A., Alnajjar Z., Al-Balushi Z., Alkhuzaie Z., Khraim Z., Toutounji Z., Djama Z., Farraj Z., Shah Z. A., Khan Z., Abo Alarous Z. A., Asaad Z., Demetrashvili Z., Lorenc Z., Brekalo Z., Hannouneh Z. A., Robertson Z., Bady Z., Durna Z., Wong Z. Y., Fozo Z. A., Klib Z., Chin Z., Tamou Z. F., Johnson Z., Shabello Z., Orzeszko Z., Aljalabi Z., Al-Azher El-Hamel Z., Karampotaki Z. R., Valera Sanchez Z., Matkovic Z., Azhar Z., Qureshi Z., Correa Lopez Z. M., Balciscueta Z., Musilova Z., Katusic Z., Osama Z., and Dauksa Z.
- Abstract
Background: Timely and safe elective health care facilitates return to normal activities for patients and prevents emergency admissions. Surgery is a cornerstone of elective care and relies on complex pathways. This study aimed to take a whole-system approach to evaluating access to and quality of elective health care globally, using inguinal hernia as a tracer condition. Methods: This was a prospective, international, cohort study conducted between Jan 30 and May 21, 2023, in which any hospital performing inguinal hernia repairs was eligible to take part. Consecutive patients of any age undergoing primary inguinal hernia repair were included. A measurement set mapped to the attributes of WHO's Health System Building Blocks was defined to evaluate access (emergency surgery rates, bowel resection rates, and waiting times) and quality (mesh use, day-case rates, and postoperative complications). These were compared across World Bank income groups (high-income, upper-middle-income, lower-middle-income, and low-income countries), adjusted for hospital and country. Factors associated with postoperative complications were explored with a three-level multilevel logistic regression model. Findings: 18 058 patients from 640 hospitals in 83 countries were included, of whom 1287 (7·1%) underwent emergency surgery. Emergency surgery rates increased from high-income to low-income countries (6·8%, 9·7%, 11·4%, 14·2%), accompanied by an increase in bowel resection rates (1·2%, 1·4%, 2·3%, 4·2%). Overall waiting times for elective surgery were similar around the world (median 8·0 months from symptoms to surgery), largely because of delays between symptom onset and diagnosis rather than waiting for treatment. In 14 768 elective operations in adults, mesh use decreased from high-income to low-income countries (97·6%, 94·3%, 80·6%, 61·0%). In patients eligible for day-case surgery (n=12 658), day-case rates were low and variable (50·0%, 38·0%, 42·1%, 44·5%). Complications occurred in 2
- Published
- 2024
41. Short- and medium range order in GeTe4-Ag glasses
- Author
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Jóvári, P, Nazabal, V, Boussard, C, Cui, S, Kaban, I, Michalik, S, Webb, M A, Coq, D Le, Chernikov, R, Chen, N, and Darpentigny, J
- Published
- 2023
- Full Text
- View/download PDF
42. Prevalence and Factors Influencing Sarcopenia Among Community-Dwelling Older Adults Using the Asian Working Group for Sarcopenia Definition
- Author
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He X, Song Y, Ma L, Ainsworth BE, Liu Y, and Chen N
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sarcopenia ,prevalence ,risk factor ,older people ,rural area ,Geriatrics ,RC952-954.6 - Abstract
Xiangfeng He,1,2,* Yanping Song,2,* Lin Ma,2,* Barbara E Ainsworth,3 Yu Liu,4 Nan Chen1,2,4 1Department of Rehabilitation, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China; 2Department of Rehabilitation, Xinhua Hospital Chongming Branch, Shanghai, People’s Republic of China; 3College of Health Solutions, Arizona State University, Phoenix, AZ, USA; 4School of Kinesiology, Shanghai University of Sport, Shanghai, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yu Liu, School of kinesiology, Shanghai University of Sport, No. 399 Changhai Road, Yangpu District, Shanghai, People’s Republic of China, Tel +86-21-65507860, Email yuliu@sus.edu.cn Nan Chen, Department of Rehabilitation, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, No. 1665 Kongjiang Road, Yangpu District, Shanghai, People’s Republic of China, Email chennanreh2020@126.comObjective: This study aimed to explore the prevalence and impact of related factors for sarcopenia among community-dwelling older people in Chongming district, China, according to the diagnostic criteria of the Asia Working Group for Sarcopenia-2019.Methods: We conducted a cross-sectional study from April 2021 to December 2021. Diagnosis of sarcopenia (non-sarcopenia, possible sarcopenia, sarcopenia, and severe sarcopenia) was based on appendicular skeletal muscle mass index, handgrip strength, gait speed, and the 5-time chair stand test. Staff collected all subjects’ clinical and sociodemographic characteristics, cardiovascular disease (CVD) risk factors, inflammatory markers, physical activity (PA), and daily lifestyle activities to identify sarcopenia-related factors.Results: A total of 1407 older people aged ≥ 65 years were enrolled into the study (58.7% female). The prevalence of confirmed sarcopenia was 19.6% (17.1% in females and 23.1% in males). The prevalence of possible sarcopenia, sarcopenia, and severe sarcopenia were 19.7% (22.2% in females, 16.2% in males), 11.9% (10.1% in females, 14.5% in males), and 7.7% (7% in females, 8.6% in males), respectively. Increasing age, gender, depression status, and high-fat mass were associated with an increased likelihood of sarcopenia in all subjects. In females, living alone, high-fat mass, lower body mass index (BMI), lower body weight, and have no time spent doing housework increased the likelihood of sarcopenia. In males, depression status, high-fat mass, higher neutrophils-to-lymphocytes ratio (NLR), lower BMI, lower body weight increased the likelihood of sarcopenia.Conclusion: Our study showed a high prevalence of sarcopenia among community-dwelling older people in the Chongming district. Detection, prevention, and treatment efforts are needed to reduce the impact of sarcopenia in older, rural communities in China.Keywords: sarcopenia, prevalence, risk factor, older people, rural area
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- 2022
43. Associations of Obesity Indices with Bone Mineral Densities and Risk of Osteoporosis Stratified Across Diabetic Vascular Disease in T2DM Patients
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Zheng S, Zhou J, Wang K, Wang X, Li Z, and Chen N
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obesity ,bone mineral density ,osteoporosis ,diabetic vascular complications ,diabetes ,Specialties of internal medicine ,RC581-951 - Abstract
Silan Zheng,1 Jingqi Zhou,1 Kai Wang,1 Xinyue Wang,2 Zhibin Li,3 Ning Chen1,4 1Department of Endocrinology, Zhongshan Hospital, Fudan University Xiamen Branch, Xiamen, People’s Republic of China; 2Department of Clinical Nutrition, Zhongshan Hospital, Fudan University Xiamen Branch, Xiamen, People’s Republic of China; 3Epidemiology Research Unit, Translational Medicine Research Center, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, People’s Republic of China; 4Department of Endocrinology, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of ChinaCorrespondence: Ning Chen, Department of Endocrinology, Zhongshan Hospital, Fudan University Xiamen Branch, No. 668 Jinhu Road, Xiamen, 361003, People’s Republic of China, Tel/Fax +86-592-3501990, Email ningchen8080@outlook.com Zhibin Li, Epidemiology Research Unit, Translational Medicine Research Center, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, No. 55 Zhenhai Road, Xiamen, 361003, People’s Republic of China, Tel +86-592-2137364, Fax +86-592-2137557, Email zhibinli33@hotmail.comObjective: To evaluate associations of obesity indices with bone mineral densities (BMD) and risk of osteoporosis in T2DM patients totally and stratified across presence of any diabetic cardiovascular complications.Methods: Cross-sectional analyses of baseline information on a cohort of 250 T2DM patients were conducted in Xiamen, China. Obesity indices included body weight, height, body mass index (BMI), waist and waist hip ratio (WHR). BMD was measured using dual-energy X-ray absorptiometry at three different sites, and osteoporosis was defined based on the minimum T-scores of BMD. Presence of any diabetic vascular complications was confirmed by checking their medical records histories.Results: Among the 250 T2DM patients, 50 (20.0%) were defined as osteoporosis. Multivariable linear regression and multivariable logistic regression analyses showed that igher obesity indices, including body weight, BMI and waist, but neither body height nor waist hip ratio, were positively associated with the minimum T-scores of BMD and had significantly decreased risk of osteoporosis. Stratified analyses across presence of any of diabetic vascular complications showed similar results for those with any of diabetic vascular complications, while no significant association between obesity indices and minimum T-scores of BMD was found for those without. Postmenopausal women (vs men) and ever drinking were significantly associated with increased risk of osteoporosis, and the adjusted odds ratios (95% CIs) were 5.165 (1.762– 15.138, p = 0.003) and 3.789 (1.087– 13.214, p = 0.037), respectively. None of metabolic profiles, including systolic and diastolic blood pressure, triglyceride, total cholesterol, high-density lipoprotein cholesterol, HbA1c and blood uric acid, was significantly associated with either minimum T-scores of BMD or risk of osteoporosis.Conclusion: Associations of obesity indices with either BMD or risk of osteoporosis in T2DM patients varied by presence of any diabetic vascular complication and should be not interpreted as causal without considering the often-unmeasured effect modification by health status.Keywords: obesity, bone mineral density, osteoporosis, diabetic vascular complications, diabetes
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- 2022
44. Natural Products-Based Nanoformulations: A New Approach Targeting CSCs to Cancer Therapy
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Liao W, Li Y, Wang J, Zhao M, Chen N, Zheng Q, Wan L, Mou Y, Tang J, and Wang Z
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cancer ,cancer stem cells ,nanoformulations ,natural products ,targeted therapy ,Medicine (General) ,R5-920 - Abstract
Wenhao Liao,1,* Yuchen Li,1,2,* Jing Wang,3,* Maoyuan Zhao,1 Nianzhi Chen,1 Qiao Zheng,1 Lina Wan,1 Yu Mou,1 Jianyuan Tang,1,4 Zhilei Wang1,4 1Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, People’s Republic of China; 2College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, People’s Republic of China; 3Department of Obstetrics and Gynecology, Bishan Hospital of Traditional Chinese Medicine, Chongqing, People’s Republic of China; 4TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jianyuan Tang; Zhilei Wang, Email tangjy@cdutcm.edu.cn; wangzl1993@outlook.comAbstract: Cancer stem cells (CSCs) lead to the occurrence and progression of cancer due to their strong tumorigenic, self-renewal, and multidirectional differentiation abilities. Existing cancer treatment methods cannot effectively kill or inhibit CSCs but instead enrich them and produce stronger proliferation, invasion, and metastasis capabilities, resulting in cancer recurrence and treatment resistance, which has become a difficult problem in clinical treatment. Therefore, targeting CSCs may be the most promising approach for comprehensive cancer therapy in the future. A variety of natural products (NP) have significant antitumor effects and have been identified to target and inhibit CSCs. However, pharmacokinetic defects and off-target effects have greatly hindered their clinical translation. NP-based nanoformulations (NPNs) have tremendous potential to overcome the disadvantages of NP against CSCs through site-specific delivery and by improving their pharmacokinetic parameters. In this review, we summarize the recent progress of NPNs targeting CSCs in cancer therapy, looking forward to transforming preclinical research results into clinical applications and bringing new prospects for cancer treatment.Keywords: cancer, cancer stem cells, nanoformulations, natural products, targeted therapy
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- 2022
45. Pressure-driven collapse of the relativistic electronic ground state in a honeycomb iridate
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Clancy, J. P., Gretarsson, H., Sears, J. A., Singh, Yogesh, Desgreniers, S., Mehlawat, Kavita, Layek, Samar, Rozenberg, Gregory Kh., Ding, Yang, Upton, M. H., Casa, D., Chen, N., Im, Junhyuck, Lee, Yongjae, Yadav, R., Hozoi, L., Efremov, D., Brink, J. van den, and Kim, Young-June
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Condensed Matter - Strongly Correlated Electrons - Abstract
The electronic ground state in many iridate materials is described by a complex wave-function in which spin and orbital angular momenta are entangled due to relativistic spin-orbit coupling (SOC). Such a localized electronic state carries an effective total angular momentum of $J_{eff}=1/2$. In materials with an edge-sharing octahedral crystal structure, such as the honeycomb iridates Li2IrO3 and Na2IrO3, these $J_{eff}=1/2$ moments are expected to be coupled through a special bond-dependent magnetic interaction, which is a necessary condition for the realization of a Kitaev quantum spin liquid. However, this relativistic electron picture is challenged by an alternate description, in which itinerant electrons are confined to a benzene-like hexagon, keeping the system insulating despite the delocalized nature of the electrons. In this quasi-molecular orbital (QMO) picture, the honeycomb iridates are an unlikely choice for a Kitaev spin liquid. Here we show that the honeycomb iridate Li2IrO3 is best described by a $J_{eff}=1/2$ state at ambient pressure, but crosses over into a QMO state under the application of small (~ 0.1 GPa) hydrostatic pressure. This result illustrates that the physics of iridates is extremely rich due to a delicate balance between electronic bandwidth, spin-orbit coupling, crystal field, and electron correlation., Comment: 7 pages, 5 figures, additional supplemental material included
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- 2018
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46. Multi-episode chromospheric evaporation observed in a solar flare
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Tian, H. and Chen, N. -H.
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Astrophysics - Solar and Stellar Astrophysics ,Physics - Plasma Physics - Abstract
With observations of IRIS, we study chromospheric heating and evaporation during an M1.6 flare SOL2015-03-12T11:50. At the flare ribbons, the Mg II 2791.59 line shows quasi-periodic short-duration red-wing enhancement, which is likely related to repetitive chromospheric condensation as a result of episodic heating. On the contrary, the Si IV 1402.77 line reveals a persistent red-wing asymmetry in both the impulsive and decay phases, suggesting that this line responds to both cooling downflows and chromospheric condensation. The first two episodes of red-wing enhancement occurred around 11:42 UT and 11:45 UT, when two moving brightenings indicative of heating fronts crossed the IRIS slit. The greatly enhanced red wings of the Si IV and Mg II lines at these occasions are accompanied by an obvious increase in the line intensities and the HXR flux, suggesting two episodes of energy injection into the lower atmosphere in the form of nonthermal electrons. The Mg II k/h ratio has a small value of ~1.2 at the ribbons and decreases to ~1.1 at these two occasions. Correspondingly, the Fe XXI 1354 line reveals two episodes of chromospheric evaporation, which is characterized as a smooth decrease of the blue shift from ~300 km/s to nearly zero within ~3 minutes. The Fe XXI 1354 line is entirely blueshifted in the first episode, while appears to contain a nearly stationary component and a blueshifted component in the second episode. More episodes of blueshifted Fe XXI emission is found around the northern ribbon in the decay phase, though no obvious response is detected in the Si IV and Mg II emission. We have also examined the Fe XXI emission at the flare loop top and identified a secondary component with a ~200 km/s red shift, which possibly results from the downward moving reconnection outflow. Our analysis also suggests a reference wavelength of 1354.0878 Angstrom for this Fe XXI line., Comment: ApJ, 9 figures
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- 2018
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47. Temperature of source regions of $^3$He-rich impulsive solar energetic particle events
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Chen, N. -H., Bučík, R., and Kim, R. -S.
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Astrophysics - Solar and Stellar Astrophysics - Abstract
Impulsive solar energetic particle (SEP) events originate from the energy dissipation process in small solar flares. Anomalous abundances in impulsive SEP events provide an evidence on unique, yet unclear, acceleration mechanism. The pattern of heavy-ion enhancements indicates that the temperature of the source plasma that is accelerated is low and not flare-like. We examine the solar source of the $^3$He-rich SEP event of 2012 November 20 using Solar Dynamics Observatory (SDO)/ Atmospheric Imaging Assembly (AIA) images and investigate its thermal variation. The examined event is associated with recurrent coronal jets. The Differential Emission Measure (DEM) analysis is applied to study the temperature evolution/distribution of the source regions. Preliminary results show that the temperature of the associated solar source is ranged between 1.2-3.1 MK., Comment: accepted
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- 2017
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48. Rapid Stoichiometry Control in Cu2Se Thin Films for Room-Temperature Power Factor Improvement
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Scimeca, MR, Yang, F, Zaia, E, Chen, N, Zhao, P, Gordon, MP, Forster, JD, Liu, YS, Guo, J, Urban, JJ, and Sahu, A
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thermoelectric ,carrier concentration ,stoichiometry control ,inorganic ,p-type ,thin films - Abstract
Cu2Se thin films provide a promising route toward relatively safe, sustainable and solution processed thermoelectric (TE) modules in contrast to more expensive and toxic materials currently on the market such as Bi2Te3. Cu2Se is known in the TE community for its high performance at high temperature and has recently attracted attention from its large theoretically predicted figure of merit at room temperature. Unfortunately, one of the main limitations encountered so far in Cu2Se thin films is that the carrier concentrations are not optimized for TE operation after solution processing. In this work, we conduct a comprehensive study of the structural, optical, and TE properties of Cu2Se thin films and demonstrate that nonoptimized carrier concentrations in these films lead to observations of poor performance at room temperature. Through a simple soaking procedure in a Cu+ ion solution for only a few minutes, we demonstrate a 200-300% increase in power factor. This soaking process pushes the carrier concentration of the Cu2Se thin film toward its optimal value for TE operation and marks the highest TE performance for any solution processed Cu2Se thin film at room temperature thus far. If the performance can be further optimized at room temperature, Cu2Se thin films will be the material of choice to utilize in TE modules for powering miniature electronics and sensors, which has been an increasingly popular and rapidly expanding market.
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- 2019
49. Novel human-derived EML4-ALK fusion cell lines identify ribonucleotide reductase RRM2 as a target of activated ALK in NSCLC
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Bokhari, A.A., Lai, W-Y., Le, A.T., Gabre, J.L., Chuang, T-P., Fransson, S., Bergman, B., Djos, A., Chen, N., Martinsson, T., Van den Eynden, J., Doebele, R.C., Palmer, R.H., Hallberg, B., and Umapathy, G.
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- 2022
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50. A Dynamic Nomogram to Identify Patients at High Risk of Poor Outcome in Stroke Patients with Chronic Kidney Disease
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Wang F, Zheng X, Zhang J, Jiang F, Chen N, Xu M, Wu Y, Zhou J, Cui X, and Zou J
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dynamic nomogram ,stroke ,chronic kidney disease ,poor outcome ,predict ,Geriatrics ,RC952-954.6 - Abstract
Fusang Wang,1,2,* Xiaohan Zheng,1,2,* Juan Zhang,3,* Fuping Jiang,4 Nihong Chen,5 Mengyi Xu,5 Yuezhang Wu,2 Jianjun Zou,2,5 Xiaoli Cui,3 Junshan Zhou6 1School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, People’s Republic of China; 2Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China; 3Department of Neurology, Nanjing Yuhua Hospital, Yuhua Branch of Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China; 4Department of Geriatrics, Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China; 5Department of Clinical Pharmacology, Nanjing First Hospital, China Pharmaceutical University, Nanjing, People’s Republic of China; 6Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jianjun Zou; Xiaoli Cui, Email zoujianjun100@126.com; 849110554@qq.comBackground and Purpose: Predicting poor outcome for stroke patients with chronic kidney disease (CKD) in clinical practice is difficult. There are no tools available to use for predicting poor outcome in these patients. We aimed to construct and validate a dynamic nomogram to identify CKD–stroke patients at high risk of a 3-month poor outcome.Patients and Methods: We used data for 502 CKD patients who had an acute ischemic stroke, from Nanjing First Hospital, between September 2014 and September 2020, to train the nomogram. An additional 108 patients enrolled from October 2020 to May 2021 were used for temporal external validation. The performance of the nomogram was evaluated by the area under the receiver operating characteristics curve (AUC) and a calibration plot. The clinical utility of the nomogram was measured by decision curve analysis (DCA) and the clinical impact curve (CIC).Results: The median age of the cohort was 79 (70– 84) years. Age, urea, premorbid modified Rankin Scale (mRS), National Institutes of Health Stroke Scale (NIHSS) on admission, hemiplegia, mechanical thrombectomy, early neurological deterioration, and respiratory infection were used as predictors of 3-month poor outcome to develop the nomogram. In the training set, the AUC of the dynamic nomogram was 0.873 and the calibration plot showed good predictive ability, and both DCA and CIC indicated the excellent clinical usefulness and applicability of the nomogram. In the external validation set, the AUC was 0.875 and the calibration plot also showed good agreement.Conclusion: This is the first dynamic nomogram constructed for CKD–stroke patients to precisely and expediently identify patients with a high risk of 3-month poor outcome. The outstanding performance and great clinical predictive utility demonstrated the ability of the dynamic nomogram to help clinicians to deploy preventive interventions.Keywords: dynamic nomogram, stroke, chronic kidney disease, poor outcome, predict
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- 2022
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