Search

Your search keyword '"Saar, A."' showing total 6,790 results
Start Over Author "Saar, A." Database OpenAIRE
6,790 results on '"Saar, A."'

3. Wolfgang Bartuschat: An Obituary

Author

Ursula Renz, Martin Saar, and Stephan Schmid

Abstract

This is an obituary on Wolfgang Bartuschat (May 13, 1938 – August 10, 2022), an eminent Spinoza scholar at Universität Hamburg. As an interpreter, Bartuschat emphasized the human and individual perspective in Spinoza’s metaphysical and political thought. Bartuschat will also be remembered as an excellent translator and editor.

Published
2023
Full Text
View/download PDF

4. The burden of Noncommunicable Diseases in Portuguese Language Countries

Author

Deborah Carvalho Malta, Crizian Saar Gomes, Guilherme Augusto Veloso, Juliana Bottoni de Souza, Patrícia Pereira Vasconcelos de Oliveira, Albano Vicente Lopes Ferreira, Mohsen Nagavi, Paulo Ferrinho, Paula Carvalho de Freitas, and Antônio Luiz Pinho Ribeiro

Subjects
Health Policy, Public Health, Environmental and Occupational Health
Abstract

The present study analyzed trends in premature mortality from Noncommunicable diseases (NCDs) between 1990 and 2019, the projections up to 2030, and the risk factors (RFs) attributable to these diseases in the Community of Portuguese Language Countries (CPLP). Estimates from the Global Burden of Disease (GBD) study and the analysis of the burden of premature mortality due to NCDs were used for nine CPLP countries, applying age-standardized rates, using RStudio. Portugal, Brazil, Equatorial Guinea, Angola, and Guinea Bissau showed declining premature mortality rates caused by NCDs, while East Timor, Cape Verde, São Tomé and Príncipe, and Mozambique showed an increase in rates. Projections indicate that none of the countries is expected to achieve the goals of reducing premature mortality due to NCDs by one third by 2030. The attributable burden of disease showed that the most important RFs in 2019 were: high systolic blood pressure (SBP), tobacco, dietary risks, high body mass index (BMI), and air pollution. It can therefore be concluded that there are profound differences in the burden of NCDs among the countries, with better results in Portugal and Brazil, and that no CPLP country is likely to reach the NCD reduction target by 2030.

Published
2023
Full Text
View/download PDF

5. Nykturie beim Mann

Author

Sebastian Grundl, Christian Niedworok, Matthias Saar, and Jennifer Kranz

Subjects
Complementary and alternative medicine, Pharmaceutical Science, Pharmacology (medical)
Published
2023
Full Text
View/download PDF

7. Disaster Medicine Education for Israeli Medical Response Teams to the Ukrainian Refugee Crisis

Author

Lea Ohana Sarna Cahan, Gila Meirson, Tamara Kolitz, Evan Avraham Alpert, Ahmed Naame, Oren Tavor, and Saar Hashavya

Subjects
Emergency Medicine, Emergency Nursing
Abstract

Introduction: Disaster Medicine (DM) requires skills, knowledge, and prior experience that are rarely put to test by health care providers. Pediatric DM presents unique challenges in terms of both knowledge and practice. Methods: An anonymous survey consisting of demographic and five-point Likert scale questions was administered to physicians, nurses, and other medical personnel from Israel’s major medical emergency teams who were deployed to respond to the refugee crisis in Ukraine. This included teams from the Hadassah and Tel Aviv Sourasky Medical Centers and the Israel Ministry of Health. Results: Of the 171 members of the medical teams deployed on the Ukraine border, a total of 105 responses were obtained (61.4%) from 61 physicians, 50 nurses, and 12 other health care providers. The teams were composed of pediatricians (31.6%), internal medicine physicians (21.6%), Emergency Medicine and intensive care physicians (18.0%), and 31.0% other specialties. For 60% of the participants, this was their first deployment, and 78% had received no training in DM. Members rated the need for DM training at 4/5 (IQR 3-5). Forty-nine (49) members (46.6%) were not briefed on situational awareness and 97 members (89.5%) were not trained in the recognition of acute stress reactions. The responders also rated their concerns about providing medical aid to children at 2/5 (IQR 1-3). A medical clown was part of the teams 42.8% of the time; the presence of clowns was rated at a median of 4/5 (IQR 4-5). The team members underscored the need for more targeted training in DM at 5/5 (IQR 3-5). Conclusion: The findings highlight the need for the formulation of a disaster education model that includes pediatric DM.

Published
2023
Full Text
View/download PDF

9. Evaluation of Digital’s Role in Sustainable Built Environment

Author

Theodore Wayne, Chang Saar Chai, Shirly Siew Ling Wong, Fang Lee Lim, Kai Chen Goh, and Nur IzieAdiana Abidin

Subjects
General Engineering
Abstract

The construction industry has been evolving, embracing the delicate balance between the Fourth Industry Revolution and sustainable construction to create a sustainable and resilient built environment. Integrating digital tools and technologies in a renowned conventional construction industry is challenging, mainly due to the complex interaction between heterogeneous but heuristic construction processes, building systems, and workflows in achieving a common goal. This study took the initiative to review digital tool adoption and its role in the sustainable built environment by examining the impact of digital adoption in a sustainable built environment in terms of societal and industry impacts. A quantitative analysis is conducted, collecting 63 industry practitioners analysed through regression analysis. The result reveals that energy conservation is the most significant element in the sustainable built environment, which brought the greatest impact on both society and industry in Malaysia. Based on the results, it is found that the digital adoption level in the Malaysian construction industry is still at a minimal level. Through the introduction of Indutry4wrd, National 4IR and Construction 4.0 Strategic Plan (2021–2025), the importance of digital tools and technologies is slowly being acknowledged. The result of the study is significant to benchmark the current digital tools adoption in the Malaysian sustainable built environment. Moreover, the contribution could be made in terms of better understanding and facilitating, where relevant, greater usage of digital tools in the construction industry to promote efficiency.

Published
2023
Full Text
View/download PDF

10. Demographic changes in Australia’s regulated health professions: 6-year trends

Author

Sarah Anderson, Eva Saar, Jacinta Evans, Michael Rasmussen, Sunita Bapuji Bayyavarapu, Penelope Ann Elizabeth Main, Samantha Stark, and Helen Townley

Subjects
Health Policy
Abstract

Objective Studies of Australian health workforce demographics tend to be limited to single professions, a set geographic area, or based on incomplete data. This study aims to comprehensively describe changes to the demographic characteristics of Australia’s regulated health professions over 6 years. Methods Data were sourced from the Australian Health Practitioner Regulation Agency (Ahpra) registration database, and a retrospective analysis of 15 of the 16 regulated health professions between 1 July 2015 and 30 June 2021 was conducted. Variables including profession, age, gender and state/territory locations for the practitioners’ principal places of practice were analysed descriptively and via appropriate statistical tests. Results Changes in age, gender representation, and place of practice varied significantly and in different ways across the 15 professions. The total number of registered health practitioners increased by 141 161 (22%) from 2016 to 2021. The number of registered health practitioners per 100 000 population increased by 14% from 2016, with considerable variation across the professions. In 2021, women accounted for 76.3% of health practitioners across the 15 health professions, a significant increase of 0.5% points since 2016. Conclusions Changes to demographics, especially in ageing workforces and feminising professions, can have implications for workforce planning and sustainability. Future research could build on this demographic trend data by investigating causes or undertaking workforce supply or demand modelling.

Published
2023
Full Text
View/download PDF

11. Critical social work in public social services: Poverty-aware organizational practices

Author

Yuval Saar-Heiman, Mor Nahari, and Michal Krumer-Nevo

Subjects
Health (social science), Social Sciences (miscellaneous)
Abstract

Summary Whereas some studies have addressed the conditions and practices required to infuse critical notions into the organizational context of public social services, there is a paucity of knowledge on what a critical public service can look like in actual practice. This article explores the possibility of applying critical theory and practice at the organizational level of public social services. It focuses on one social services department in Israel that underwent a six-year process of learning and implementing the Poverty-Aware Paradigm. Findings Based on an in-depth case study that combines ethnographic and participatory methods, we outline how critical ideas are translated to four organizational principles: developing a critical learning culture, acknowledging services users’ knowledge and skills, leading a critical discourse in the community, and poverty-proofing services and allocating resources to tackle poverty. Each of these principles is presented with derivative organizational practices and a detailed account of their implementation. Applications By broadening the framing of critical practice as an individual, street-level endeavor, the findings offer policymakers and public social services professionals an organizational model that mitigates the negative consequences of current neoliberal and managerial policies around the world.

Published
2023
Full Text
View/download PDF

12. Clofarabine and Busulfan Myeloablative Conditioning in Allogeneic Hematopoietic Cell Transplantation for Patients With Active Myeloid Malignancies

Author

Matthew P. Connor, Alison W. Loren, Elizabeth O. Hexner, Mary Ellen Martin, Saar I. Gill, Selina M. Luger, James K. Mangan, Alexander E. Perl, Shannon R. McCurdy, Keith W. Pratz, Colleen Timlin, Craig W. Freyer, Alison Carulli, Christopher Catania, Jacqueline Smith, Lauren Hollander, Alexis M. Zebrowski, Edward A. Stadtmauer, David L. Porter, and Noelle V. Frey

Subjects
Transplantation, Molecular Medicine, Immunology and Allergy, Cell Biology, Hematology
Abstract

Patients with refractory or relapsed and refractory myeloid malignancies have a poor prognosis. Allogeneic hematopoietic cell transplantation (HCT) with myeloablative conditioning (MAC) in patients with active, chemotherapy-refractory myeloid disease is historically associated with high rates of relapse and nonrelapse mortality (NRM). A MAC regimen combining clofarabine with busulfan (Clo/Bu4) has been reported to exhibit antileukemic activity with acceptable toxicity in patients age ≤70 years. Here we describe the clinical outcomes of a real-world population of patients with active myeloid malignancies undergoing allogeneic HCT with Clo/Bu4 MAC. In a single-center retrospective descriptive analysis, we identified patients who underwent HCT for myeloid malignancies not in remission using Clo/Bu4 MAC between 2012 and 2020. We report event-free survival (EFS) and overall survival (OS), cumulative incidences of relapse and NRM, and the incidence and severity of acute and chronic graft-versus-host disease (GVHD). We identified 69 patients with a median age of 60 years (range, 22 to 70 years). Most patients had relapsed/refractory or primary refractory acute myelogenous leukemia (AML; n = 55) or refractory myelodysplastic syndrome (MDS; n = 12); 1 patient had chronic myelogenous leukemia, and 1 patient had a blastic plasmacytoid dendritic cell neoplasm. Fifty patients (72.5%) had complete remission at day 100 post-transplantation. Two-year EFS and OS were 30% (95% confidence interval [CI], 20% to 44%) and 40% (95% CI, 29% to 54%), respectively. Patients with AML had a 2-year EFS and OS of 28% (95% CI, 18% to 44%) and 38% (95% CI, 27% to 54%), respectively; those with MDS had a 2-year EFS and OS of 47% (95% CI, 25% to 88%) and 56% (95% CI, 33% to 94%), respectively. The cumulative incidence of relapse at 2 years was 39% (95% CI, 27% to 51%) for all patients, including 45% (95% CI, 31% to 58%) in the patients with AML and 18% (95% CI, 2% to 45%) in those with MDS. NRM at 2 years was 31% (95% CI, 20% to 42%), including 27% (95% CI, 15% to 39%) in patients with AML and 35% (95% CI, 10% to 63%) in those with MDS. The total incidence of acute GVHD (aGVHD) of any severity was 80%, and the incidence of grade III-IV aGVHD was 22%. In patients who achieved remission, those who required systemic immunosuppression for aGVHD (58%) had poorer 2-year EFS (29% versus 54%; P = .05) and 2-year OS (39% versus 70%; P = .04) compared to those who did not. The 2-year cumulative incidence of chronic GVHD was 44% (95% CI, 28% to 58%). Clo/Bu4 MAC followed by allogeneic HCT for patients with active myeloid malignancies is an effective transplantation strategy for patients up to age 70, particularly those with advanced MDS. The high incidence of and poor outcomes associated with aGVHD highlight the importance of optimizing preventative strategies.

Published
2023
Full Text
View/download PDF

13. Allogeneic Hematopoietic Stem Cell Transplant Outcomes in Adults with Inherited Myeloid Malignancies

Author

Caner Saygin, Gregory Roloff, Christopher N. Hahn, Rakchha Chhetri, Saar Gill, Hany Elmariah, Chetasi Talati, Emma Nunley, Guimin Gao, Aelin Kim, Michael Bishop, Satyajit Kosuri, Soma Das, Deepak Singhal, Parvathy Venugopal, Claire C. Homan, Anna Brown, Hamish S. Scott, Devendra Hiwase, Lucy A. Godley, Saygin, Caner, Roloff, Gregory, Hahn, Christopher N, Chhetri, Rakchha, Gill, Saar, Elmariah, Hany, Talati, Chetasi, Nunley, Emma, Gao, Guimin, Kim, Aelin, Bishop, Michael, Kosuri, Satyajit, Das, Soma, Singhal, Deepak, Venugopal, Parvathy, Homan, Claire C, Brown, Anna, Scott, Hamish S, Hiwase, Devendra, and Godley, Lucy A

Subjects
stimulus report, Immunology, Cell Biology, Hematology, myeloid neoplasia, Biochemistry, transplantation
Abstract

There is increasing recognition that pathogenic germ line variants drive the development of hematopoietic cancers in many individuals. Currently, patients with hereditary hematologic malignancies (HHMs) receive similar standard therapies and hematopoietic stem cell transplant (HSCT) approaches as those with sporadic disease. We hypothesize that patients with myeloid malignancies and deleterious germ line predisposition variants have different posttransplant outcomes than those without such alleles. We studied 472 patients with myeloid neoplasms, of whom 26% had deleterious germ line variants and 34% underwent HSCT. Deleterious germ line variants in CHEK2 and DDX41 were most commonly seen in American and Australian cohorts, respectively. Patients with deleterious germ line DDX41 variants had a higher incidence of severe (stage 3-4) acute graft-versus-host disease (GVHD) (38%) than recipients with deleterious CHEK2 variants (0%), other HHM variants (12%), or patients without such germ line variants (9%) (P = .002). Importantly, the use of posttransplant cyclophosphamide reduced the risk of severe acute GVHD in patients receiving HSCT for deleterious germ line DDX41-associated myeloid neoplasms (0% vs 53%, P = .03). Based on these results, we advocate the use of posttransplant cyclophosphamide when individuals with deleterious germ line DDX41 variants undergo allogeneic HSCT for myeloid malignancies, even when transplantation has been performed using wild-type donors.

Published
2022
Full Text
View/download PDF

14. Towards data-informed teaching practice

Author

Merike Saar, María Jesús Rodríguez-Triana, and Luis Pablo Prieto Santos

Subjects
Computer Science Applications, Education
Abstract

Data-informed decision making in teachers’ practice, now recommended by different teacher inquiry models and policy documents, implies deep practice change for many teachers. However, not much is known how teachers perceive the different steps that analytics-informed teacher inquiry into their own practice entails. This paper presents the results of a study into developing an Analytics Model for Teacher Inquiry (AMTI), which was then used to understand how teachers (N=10) construe the steps in the model and to explore the possible constraints as well as incentives for Teaching and Learning Analytics (TLA)-informed teacher practices. In the final iteration experts (N=7) and teacher-researchers (N=2) tested and evaluated the developed model. Their feedback was used to improve the model and provide example cases with insights into possible scenarios for TLA-informed analyses of teaching.

Published
2022
Full Text
View/download PDF

15. Repair of uterine rupture following vaginal delivery: A comparison between minimally invasive and open repair

Author

Shira Stern, Naama Lessans, David Shveiky, Tal D. Saar, Aharon Tevet, and Uri P. Dior

Subjects
Obstetrics and Gynecology, General Medicine
Abstract

To compare operative data and patient satisfaction between open and laparoscopic surgery for post-partum diagnosed uterine rupture.In this questionnaire-based cohort study we collected all cases of post-partum diagnosed uterine rupture after vaginal delivery, between 2016 and 2020 in a single academic tertiary center. The cohort was divided according to surgical method of repair; demographic, clinical, operative and post operative data were collected and compared between groups. A phone questionnaire on various satisfaction domains was conducted and satisfaction rates were compared between groups.Eight cases of uterine rupture following vaginal delivery were treated by laparoscopy, and eight were treated by laparotomy. The median operative time was 103 (IQR 86.3-129.0) minutes for the laparoscopy group and 61 (IQR 59.0-75.0) minutes for the laparotomy group (p=0.04). Blood transfusion was required in 25% of women who underwent laparoscopy, as compared to 88% of women who underwent laparotomy (p=0.010.05). Median hospitalization time was 3 (IQR 3-4) days in the laparoscopy group and 4 (IQR 4-4) days in the laparotomy group (p=0.2). Overall satisfaction, satisfaction from recovery, satisfaction from scars, satisfaction from ability to care for the neonate and post-operative pain and mood were all improved in the laparoscopy group, as compared to the laparotomy group.Minimally invasive surgery is a viable surgical option for patients with uterine rupture diagnosed after vaginal delivery, and may result in better patient recovery and satisfaction.

Published
2022
Full Text
View/download PDF

18. Enfermagem em terapia intensiva: a importância da educação continuada sobre o processo transfusional

Author

Janaina Silva Andrade De Oliveira, Sheila Carminati de Lima Soares, Osdete Correa De Carvalho, Amanda Beatriz Araújo De Oliveira, Robert dos Santos Bergamini, Greice Quelle Saar, and Pâmella Polastry Braga Amaral

Subjects
Marketing, Pharmacology, Organizational Behavior and Human Resource Management, Strategy and Management, Drug Discovery, Pharmaceutical Science
Abstract

A hemoterapia é compreendida como o processo desde a captação do sangue doado, processamento dos hemocomponentes até à sua administração ao paciente ficando a cargo da enfermagem a realização da hemotransfusão e o acompanhamento junto ao paciente. O objetivo da pesquisa foi verificar o conhecimento de 95 profissionais dentre eles técnicos em enfermagem e enfermeiros inseridos nos setores de Unidades de Terapia Intensiva (UTIs) em relação aos procedimentos de transfusão e como se sentem em relação aos conhecimentos necessários à esta prática hemoterápica. Trata-se de uma pesquisa de campo, de caráter transversal descritivo, com abordagem quantiqualitativa em Unidades de Terapia Intensiva de um Hospital no norte do País sendo a coleta realizada no período de dezembro de 2021 a março de 2022. Os resultados obtidos apontam para um déficit no conhecimento em torno da terapêutica por parte da maioria dos profissionais corroborando com estudos anteriores sobre a prática, concluindo então a necessidade de planos estratégicos de mobilização profissional para realização e manutenção de medidas de educação continuada objetivando mais qualidade na assistência e minimização de erros por falta de conhecimento.

Published
2022
Full Text
View/download PDF

20. Pan‐genome and multi‐parental framework for high‐resolution trait dissection in melon ( Cucumis melo )

Author

Elad Oren, Asaf Dafna, Galil Tzuri, Ilan Halperin, Tal Isaacson, Meital Elkabetz, Ayala Meir, Uzi Saar, Shachar Ohali, Thuy La, Cinta Romay, Yaakov Tadmor, Arthur A. Schaffer, Edward S. Buckler, Roni Cohen, Joseph Burger, and Amit Gur

Subjects
Cucurbitaceae, Plant Breeding, Phenotype, Cucumis melo, Genetics, Chromosome Mapping, Cell Biology, Plant Science
Abstract

Linking genotype with phenotype is a fundamental goal in biology and requires robust data for both. Recent advances in plant-genome sequencing have expedited comparisons among multiple-related individuals. The abundance of structural genomic within-species variation that has been discovered indicates that a single reference genome cannot represent the complete sequence diversity of a species, leading to the expansion of the pan-genome concept. For high-resolution forward genetics, this unprecedented access to genomic variation should be paralleled and integrated with phenotypic characterization of genetic diversity. We developed a multi-parental framework for trait dissection in melon (Cucumis melo), leveraging a novel pan-genome constructed for this highly variable cucurbit crop. A core subset of 25 diverse founders (MelonCore25), consisting of 24 accessions from the two widely cultivated subspecies of C. melo, encompassing 12 horticultural groups, and 1 feral accession was sequenced using a combination of short- and long-read technologies, and their genomes were assembled de novo. The construction of this melon pan-genome exposed substantial variation in genome size and structure, including detection of ~300 000 structural variants and ~9 million SNPs. A half-diallel derived set of 300 F

Published
2022
Full Text
View/download PDF

21. The yield of ophthalmoscopy as a screening tool for intracranial pathology in pediatric headache

Author

Rawan Azzam, Kawar, Itai, Gross, Yael, Biro, Noa, Guzner, Moriah, Peyser-Rosenberg, Shira, Azulai, Hadas, Mechulam, Tal, Gilboa, Hodaya, Cohen, and Saar, Hashavya

Subjects
Pediatrics, Perinatology and Child Health
Abstract

Headache is a common complaint in children who present at the pediatric emergency department (PED). Serious conditions such as intracranial tumors and idiopathic intracranial hypertension (IIH) should be rapidly ruled out. Ophthalmoscopy for the presence of papilledema has long been considered critical to the assessment of headaches in children; however, the yield of this procedure is poorly validated. This retrospective study implemented a computerized search of the medical records of a single tertiary center to identify all children aged 2-18 years who presented at the PED complaining of headache between 2007 and 2017. The clinical, demographic, radiographic, and laboratory data were analyzed. Of the 948 children aged 2-18 years who presented at the PED complaining of headache, 536 had an ophthalmoscopy examination carried out by an ophthalmologist. Forty-one had papilledema, of whom 7 had an intracranial tumor, 15 had IIH, and 9 had optic nerve head drusen. Of the 495 children without papilledema, 3 had intracranial tumor, and 11 had IIH. The sensitivity and specificity of papilledema for the diagnosis of intracranial tumor were 70% and 93.5%, respectively, with an NPV and PPV of 99.4% and 17.1%, respectively. The sensitivity and specificity of papilledema for the diagnosis of intracranial pathology in general were 61.1% and 96.2%, respectively, with an NPV and PPV of 97.2% and 53.7%, respectively. Conclusion: Assessment by ophthalmoscopy for papilledema in children presenting to the PED with headache had high sensitivity and high specificity, thus reinforcing the importance of ophthalmoscopy as a screening tool in these children. What is Known: • Headache is a common complaint in children. Serious intracranial pathologies need to be rapidly excluded. • Ophthalmoscopy for the presence of papilledema is commonly used as a screening tool for intracranial pathology, but this procedure is poorly validated. What is New: • Ophthalmoscopy for the assessment of papilledema in children who present with headache to the pediatric emergency department is shown to exhibit sensitivity and specificity for the diagnosis of intracranial pathology.

Published
2022
Full Text
View/download PDF

22. Supporting oral communication in language learning through the fictitious identity technique

Author

Katrin Saar, Terje Loogus, and Krista Uibu

Abstract

Kui keeleliste osaoskuste õpetamine võõrkeeletunnis tavaliselt probleeme ei valmista, siis õpetajatele teeb muret õpilaste vähene suhtlusvalmidus. Probleemi aitavad vähendada suhtlussõbralik ja õppijaid motiveeriv keskkond, samuti loovust nõudvad õppijakesksed ning sihtkeele kultuuriruumi vastu huvi tekitavad ülesanded. Seda võimaldab simulatsioon fiktiivse identiteedi kasutamisega. Siinse sekkumisuuringu eesmärk oli välja selgitada, kuidas toetab fiktiivse identiteedi kui keeleõppemeetodi kasutamine üliõpilaste suhtlusvalmidust saksa keeles rääkimisel. Tulemustest järeldub, et meetod toetab üliõpilaste suhtlusvalmidust vaid osaliselt. Positiivsete külgedena märgiti, et fiktiivne identiteet aitab olla rohkem avatum ja spontaansem oma tegelaskujust rääkimisel. Ühtlasi paneb see otsima uusi väljendeid ja sõnu ning kiirendab sisseelamist saksakeelsesse maailma. Samas võivad selle meetodi ülesanded põhjustada rahulolematust. Osa üliõpilasi arvas, et ilma fiktiivse identiteedita oleksid nad tundides suhelnud sama palju. Negatiivset mõju avaldavate teguritena nimetati segadust erinevate identiteetide kasutamisel ja vähest huvi uue tegelaskuju väljamõtlemisel. Meetodis nähti eelkõige võimalust,kuidas keeleoskust aktiivselt arendada. Summary

Published
2022
Full Text
View/download PDF

23. When More Data Lead Us Astray: Active Data Acquisition in the Presence of Label Bias

Author

Yunyi Li, Maria De-Arteaga, and Maytal Saar-Tsechansky

Abstract

An increased awareness concerning risks of algorithmic bias has driven a surge of efforts around bias mitigation strategies. A vast majority of the proposed approaches fall under one of two categories: (1) imposing algorithmic fairness constraints on predictive models, and (2) collecting additional training samples. Most recently and at the intersection of these two categories, methods that propose active learning under fairness constraints have been developed. However, proposed bias mitigation strategies typically overlook the bias presented in the observed labels. In this work, we study fairness considerations of active data collection strategies in the presence of label bias. We first present an overview of different types of label bias in the context of supervised learning systems. We then empirically show that, when overlooking label bias, collecting more data can aggravate bias, and imposing fairness constraints that rely on the observed labels in the data collection process may not address the problem. Our results illustrate the unintended consequences of deploying a model that attempts to mitigate a single type of bias while neglecting others, emphasizing the importance of explicitly differentiating between the types of bias that fairness-aware algorithms aim to address, and highlighting the risks of neglecting label bias during data collection.

Published
2022
Full Text
View/download PDF

25. Physical violence against women by an intimate partner: analysis of VIVA Survey 2017

Author

Nádia Machado de Vasconcelos, Fabiana Martins Dias de Andrade, Crizian Saar Gomes, Regina Tomie Ivata Bernal, and Deborah Carvalho Malta

Subjects
Health Policy, Public Health, Environmental and Occupational Health
Abstract

This article aims to characterize physical violence by an intimate partner suffered by adult women treated in public urgency and emergency services in Brazil. This is a cross-sectional study using data from the VIVA Survey 2017. The proportions and 95% confidence intervals of the characteristics of the victim, violence, and perpetrator were calculated. The associations of characteristics were identified through Simple Correspondence Analysis (SCA). More than half of the assisted women self-declared their race/skin color to be black (70.2%) and were the victim of a male perpetrator (96.3%). Most violence occurred at home (71.1%) through physical force (74.1%). In the SCA, an association was found among the variables of age group, between 40 and 59 years; level of education, up to 08 years of study; alcohol consumption by the victim; and violence by weapons (Profile 2). An association was also found among the variables of age group, between 18 and 24 years; black race/skin color; lack of paid work; aggression on public places; and more serious injuries (Profile 4). There are different intimate partner violence (IPV) profiles for women in different contexts. Confronting IPV requires Public Policies that consider these differences in the construction of actions that focus on women and perpetrators of violence.

Published
2022
Full Text
View/download PDF

26. Violência física contra mulheres perpetrada por parceiro íntimo: análise do VIVA Inquérito 2017

Author

Nádia Machado de Vasconcelos, Fabiana Martins Dias de Andrade, Crizian Saar Gomes, Regina Tomie Ivata Bernal, and Deborah Carvalho Malta

Subjects
Iniquidade em saúde, Violência por parceiro íntimo, Health surveys, Health Policy, Inquéritos epidemiológicos, Public Health, Environmental and Occupational Health, Health status disparities, Intimate partner violence
Abstract

Resumo O objetivo deste artigo é caracterizar a violência física por parceiro íntimo sofrida por mulheres adultas atendidas nos serviços públicos de urgência e emergência do Brasil. Estudo transversal utilizando dados do VIVA Inquérito 2017. Foram calculados as frequências e os intervalos de confiança das características da vítima, da violência e do agressor. As associações das características foram identificadas por meio da análise de correspondência simples (ACS). A maioria das mulheres atendidas se autodeclarou da raça/cor da pele negra (70,2%) e foi vítima de agressor do sexo masculino (96,3%). A maioria das violências ocorreu em residência (71,1%) por meio de força corporal (74,1%). Na ACS, destaca-se a associação entre a faixa etária de 40 a 59 anos, escolaridade de até 08 anos de estudo, consumo de álcool pela vítima e violência por meio de armas (perfil 2); e a associação da faixa etária de 18 a 24 anos, raça/cor da pele negra, ausência de atividade remunerada, agressão em via pública e lesões de maior gravidade (perfil 4). Existem diferentes perfis de VPI para mulheres em diferentes contextos. O enfrentamento à VPI necessita de Políticas Públicas que considerem essas diferenças na construção de ações que foquem as mulheres e os perpetradores da violência. Abstract This article aims to characterize physical violence by an intimate partner suffered by adult women treated in public urgency and emergency services in Brazil. This is a cross-sectional study using data from the VIVA Survey 2017. The proportions and 95% confidence intervals of the characteristics of the victim, violence, and perpetrator were calculated. The associations of characteristics were identified through Simple Correspondence Analysis (SCA). More than half of the assisted women self-declared their race/skin color to be black (70.2%) and were the victim of a male perpetrator (96.3%). Most violence occurred at home (71.1%) through physical force (74.1%). In the SCA, an association was found among the variables of age group, between 40 and 59 years; level of education, up to 08 years of study; alcohol consumption by the victim; and violence by weapons (Profile 2). An association was also found among the variables of age group, between 18 and 24 years; black race/skin color; lack of paid work; aggression on public places; and more serious injuries (Profile 4). There are different intimate partner violence (IPV) profiles for women in different contexts. Confronting IPV requires Public Policies that consider these differences in the construction of actions that focus on women and perpetrators of violence.

Published
2022
Full Text
View/download PDF

27. Reconstructing biblical military campaigns using geomagnetic field data

Author

Yoav Vaknin, Ron Shaar, Oded Lipschits, Amihai Mazar, Aren M. Maeir, Yosef Garfinkel, Liora Freud, Avraham Faust, Ron E. Tappy, Igor Kreimerman, Saar Ganor, Karen Covello-Paran, Omer Sergi, Zeev Herzog, Rami Arav, Zvi Lederman, Stefan Münger, Alexander Fantalkin, Seymour Gitin, and Erez Ben-Yosef

Subjects
290 Andere Religionen, Multidisciplinary, Military Personnel, Archaeology, Humans, 200 Religion, Bible, Israel, 290 Other religions, Artifacts, History, Ancient
Abstract

The Hebrew Bible and other ancient Near Eastern texts describe Egyptian, Aramean, Assyrian, and Babylonian military campaigns to the Southern Levant during the 10th to sixth centuries BCE. Indeed, many destruction layers dated to this period have been unearthed in archaeological excavations. Several of these layers are securely linked to specific campaigns and are widely accepted as chronological anchors. However, the dating of many other destruction layers is often debated, challenging the ability to accurately reconstruct the different military campaigns and raising questions regarding the historicity of the biblical narrative. Here, we present a synchronization of the historically dated chronological anchors and other destruction layers and artifacts using the direction and/or intensity of the ancient geomagnetic field recorded in mud bricks from 20 burnt destruction layers and in two ceramic assemblages. During the period in question, the geomagnetic field in this region was extremely anomalous with rapid changes and high-intensity values, including spikes of more than twice the intensity of today’s field. The data are useful in the effort to pinpoint these short-term variations on the timescale, and they resolve chronological debates regarding the campaigns against the kingdoms of Israel and Judah, the relationship between the two kingdoms, and their administrations.

Published
2023
Full Text
View/download PDF

28. THE IMPACT OF LIFE-COURSE SOCIO-ECONOMIC POSITION ON QUALITY OF LIFE AT LATER AGES : EVIDENCE FROM ESTONIA

Author

Sakkeus, Luule, Saar, Ellu, and Rudissaar, Uku

Subjects
life course, Estonia, Estónia, socio-economic position, subjective well-being, bem-estar subjetivo, posição socioeconómica, curso de vida, dificuldades financeiras, life satisfaction, financial distress, satisfação de vida
Abstract

This study, guided by life-course theory and cumulative (dis)advantage theory, investigates the impact of the accumulation of socio-economic advantages and disadvantages, over the life course, on the quality of life (QoL) of the older population, and the mediating role of their current financial distress. In our study, we focus on the accumulation model. The study primarily uses data from Estonia in wave 4 of the Survey of Health, Ageing and Retirement in Europe (SHARE), with supplemental data from wave 5. Linear regression models were calculated based on two measures of quality of life : CASP-12 and life satisfaction. When measured by CASP-12, the socio-economic position in adulthood seems to play a more important role than that of childhood for the current quality of life of older people and even seems to compensate for it slightly when the current financial distress level is controlled for. However, when measured by life satisfaction, accumulated socio-economic (dis)advantages, especially in early youth, have a greater impact on the current quality of life of older people. It is important to acknowledge that different measures of QoL might yield different results. Este estudo, orientado pelas teorias do curso de vida e das (des)vantagens cumulativas, investiga o impacto da acúmulação de vantagens e desvantagens socioeconómicas ao longo da vida na qualidade de vida (QdV) da população idosa e o papel mediador das suas dificuldades financeiras atuais. O estudo focou-se no modelo de acumulação e foram utilizados dados da Estónia em especial na 4ª vaga do SHARE (Survey of Health, Ageing and Retirement in Europe), com dados suplementares da 5ª vaga. Modelos de regressão linear foram calculados com base em duas medidas de qualidade de vida : CASP-12 e satisfação de vida. Quando medida por CASP-12, a posição socioeconómica na vida adulta parece desempenhar um papel mais importante do que na infância para a qualidade de vida atual das pessoas idosas, e até parece compensá-lo ligeiramente quando o nível atual de dificuldade financeira é controlado. No entanto, quando medida pela satisfação de vida, as (des)vantagens socioeconómicas acumuladas, sobretudo no início da juventude, têm um maior impacto na qualidade de vida atual das pessoas idosas. Diferentes medidas de QdV podem produzir resultados diferentes a que é necessário prestar atenção.

Published
2023

29. Mitigating Label Bias via Decoupled Confident Learning

Author

Li, Yunyi, De-Arteaga, Maria, and Saar-Tsechansky, Maytal

Subjects
FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Computation and Language (cs.CL), Machine Learning (cs.LG)
Abstract

Growing concerns regarding algorithmic fairness have led to a surge in methodologies to mitigate algorithmic bias. However, such methodologies largely assume that observed labels in training data are correct. This is problematic because bias in labels is pervasive across important domains, including healthcare, hiring, and content moderation. In particular, human-generated labels are prone to encoding societal biases. While the presence of labeling bias has been discussed conceptually, there is a lack of methodologies to address this problem. We propose a pruning method -- Decoupled Confident Learning (DeCoLe) -- specifically designed to mitigate label bias. After illustrating its performance on a synthetic dataset, we apply DeCoLe in the context of hate speech detection, where label bias has been recognized as an important challenge, and show that it successfully identifies biased labels and outperforms competing approaches., AI & HCI Workshop at the 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA. 2023

Published
2023

31. Screen Printed Particle-Based Microfluidics: Optimization and Exemplary Application for Heavy Metals Analysis

Author

Evard, Indrek Saar and Hanno

Subjects
microfluidics, µPADs, porous material microfluidics, screen printing, thin-layer chromatography, heavy metals
Abstract

In this work, a screen-printing method was developed to create porous particle-based materials as layers with specifically designed shape to produce microfluidics systems. Among several tested binding agents, xanthan gum was found to be an excellent choice for a printing mixture thickener as well as a durable binder for the resulting material. In addition to demonstrating control over the shape of the printed microfluidics chips, control over material thickness, wetting characteristics and general method accuracy were also investigated. The applicability of the introduced method was further demonstrated with a development of an exemplary microfluidics chip for quantitative detection of Fe (III), Ni (II), Cu (II), Cd (II), and Pb (II) from a mixed sample at millimolar levels. The novel approaches demonstrated in this article offer new perspective into creating multiplexed on-site chemical analysis tests.

Published
2023
Full Text
View/download PDF

32. Direct digital sensing of protein biomarkers in solution

Author

Georg Krainer, Kadi L. Saar, William E. Arter, Timothy J. Welsh, Magdalena A. Czekalska, Raphaël P. B. Jacquat, Quentin Peter, Walther C. Traberg, Arvind Pujari, Akhila K. Jayaram, Pavankumar Challa, Christopher G. Taylor, Lize-Mari van der Linden, Titus Franzmann, Roisin M. Owens, Simon Alberti, David Klenerman, Tuomas P. J. Knowles, Krainer, Georg [0000-0002-9626-7636], Saar, Kadi L [0000-0002-5926-3628], Arter, William E [0000-0002-3615-1885], Welsh, Timothy J [0000-0001-7817-5722], Czekalska, Magdalena A [0000-0002-4494-4463], Jacquat, Raphaël PB [0000-0002-8661-9722], Peter, Quentin [0000-0002-8018-3059], Traberg, Walther C [0000-0003-2673-2253], Pujari, Arvind [0000-0002-5415-3411], Franzmann, Titus [0000-0002-4281-7209], Owens, Roisin M [0000-0001-7856-2108], Alberti, Simon [0000-0003-4017-6505], Klenerman, David [0000-0001-7116-6954], Knowles, Tuomas PJ [0000-0002-7879-0140], and Apollo - University of Cambridge Repository

Subjects
Immunoassay, Analyte, Amyloid, Multidisciplinary, Chemistry, Aptamer, Microfluidics, General Physics and Astronomy, General Chemistry, Biosensing Techniques, General Biochemistry, Genetics and Molecular Biology, Protein detection, Optofluidics, Electrophoresis, Biophysics, Fluorescence microscope, Molecule, Biomarkers
Abstract

Funder: Please see main manuscript file., The detection of proteins is of central importance to biomolecular analysis and diagnostics. Typical immunosensing assays rely on surface-capture of target molecules, but this constraint can limit specificity, sensitivity, and the ability to obtain information beyond simple concentration measurements. Here we present a surface-free, single-molecule microfluidic sensing platform for direct digital protein biomarker detection in solution, termed digital immunosensor assay (DigitISA). DigitISA is based on microchip electrophoretic separation combined with single-molecule detection and enables absolute number/concentration quantification of proteins in a single, solution-phase step. Applying DigitISA to a range of targets including amyloid aggregates, exosomes, and biomolecular condensates, we demonstrate that the assay provides information beyond stoichiometric interactions, and enables characterization of immunochemistry, binding affinity, and protein biomarker abundance. Taken together, our results suggest a experimental paradigm for the sensing of protein biomarkers, which enables analyses of targets that are challenging to address using conventional immunosensing approaches.

Published
2023
Full Text
View/download PDF

33. Use of Telemedicine for Post-discharge Assessment of the Surgical Wound. International Cohort Study, and Systematic Review with Meta-analysis

Author

James, Glasbey, Issi, Trout, Victoria, Adeyeye, Adesoji, Ademuyiwa, Adewale, Adisa, Alisha, Bhatt, Bruce, Biccard, Peter, Brocklehurst, Jean De La Croix Allen Ingabire, Francis Moïse Dossou, Irani, Durán, Rohini, Dutta, Dhruva, Ghosh, Frank, Gyamfi, Pollyanna, Hardy, Gabriella, Hyman, Ritu, Jain, Bryar, Kadir, Stephen, Knight, Oluwaseun, Ladipo-Ajayi, Ismail, Lawani, Souliath, Lawani, Rachel, Lillywhite, Rhiannon, Macefield, Laura, Magill, Janet, Martin, Jonathan, Mathers, Kenneth, Mclean, Punam, Mistry, Rohin, Mittal, Rachel, Moore, Dion, Morton, Faustin, Ntirenganya, Emmanuel, Ofori, Rupert, Pearse, Alberto, Peón, Thomas, Pinkney, Antonio Ramos de la Medina, Tubasiime, Ronald, David, Roman, Joana, Simoes, Anita, Slade, Stephen, Tabiri, Donna, Smith, Ewen, Harrison, Aneel, Bhangu, Azmina, Verjee, Emmy, Runigamugabo, Adesoji, O Ademuyiwa, Adewale, O Adisa, Maria Lorena Aguilera, Afnan, Altamini, Philip, Alexander, Sara, W Al-Saqqa, Giuliano, Borda-Luque, Jen, Cornick, Ainhoa, Costas-Chavarri, Thomas, M Drake, Stuart, J Fergusson, J Edward Fitzgerald, C Allen Ingabire, J, Lawani, Ismaïl, Zahra, Jaffry, Hosni Khairy Salem, Chetan, Khatri, Andrew, Kirby, Anyomih Theophilus Teddy Kojo, Marie Carmela Lapitan, Richard, Lilford, Andre, L Mihaljevic, Midhun, Mohan, Alphonse Zeta Mutabazi, Dmitri, Nepogodiev, Riinu, Ots, Pata, Francesco, Tomas, Poškus, Ahmad Uzair Qureshi, Antonio Ramos-De la Medina, Sarah, Rayne, Gustavo, Recinos, Kjetil, Søreide, Catherine, A Shaw, Sebastian, Shu, Richard, Spence, Neil, Smart, Ewen, M Harrison, Maria Marta Modolo, Dushyant, Iyer, Sebastian, King, Tom, Arthur, Sayeda Nazmum Nahar, Ade, Waterman, Michael, Walsh, Arnav, Agarwal, Zani, Augusto, Mohammed, Firdouse, Tyler, Rouse, Qinyang, Liu, Juan Camilo Correa, Peep, Talving, Mengistu, Worku, Alexis, Arnaud, Vassilis, Kalles, Basant, Kumar, Sunil, Kumar, Radhian, Amandito, Roy, Quek, Luca, Ansaloni, Ahmed, Altibi, Donatas, Venskutonis, Justas, Zilinskas, Tomas, Poskus, John, Whitaker, Vanessa, Msosa, Yong Yong Tew, Alexia, Farrugia, Elaine, Borg, Zineb, Bentounsi, Tanzeela, Gala, Ibrahim, Al-Slaibi, Haya, Tahboub, Osaid, H Alser, Diego, Romani, Sebestian, Shu, Piotr, Major, Aurel, Mironescu, Matei, Bratu, Amar, Kourdouli, Aliyu, Ndajiwo, Abdulaziz, Altwijri, Mohammed Ubaid Alsaggaf, Ahmad, Gudal, Al Faifi Jubran, Sam, Seisay, Bettina, Lieske, Irene, Ortega, Jenifa, Jeyakumar, Kithsiri, J Senanayake, Omar, Abdulbagi, Yucel Cengiz Dmitri Raptis, Yuksel, Altinel, Chia, Kong, Ella, Teasdale, Gareth, Irwin, Michael, Stoddart, Rakan, Kabariti, Sukrit, Suresh, Katherine, Gash, Ragavan, Narayanan, Mayaba, Maimbo, Besmir, Grizhja, Shpetim, Ymeri, Gezim, Galiqi, Roberto, Klappenbach, Diego, Antezana, Alvaro Enrique Mendoza Beleño, Cecilia, Costa, Belen, Sanchez, Susan, Aviles, Claudio Gabriel Fermani, Rubén, Balmaceda, Santiago, Villalobos, Juan Manuel Carmona, Daniel, Hamill, Peter, Deutschmann, Simone, Sandler, Daniel, Cox, Ram, Nataraja, Claire, Sharpin, Damir, Ljuhar, Demi, Gray, Morgan, Haines, Morvarid, Ashtari, Helena, Franco, Ashrarur Rahman Mitul, Sabbir, Karim, Nowrin, F Aman, Mahnuma Mahfuz Estee, Salma, UMM-E, Joyeta, Razzaque, Tasnia Hamid Kanta, Sayeeda Aktar Tori, Shadid, Alamin, Swapnil, Roy, Shadid Al Amin, Rezaul, Karim, Muhtarima, Haque, Amreen, Faruq, Farhana, Iftekhar, Margaret, O'Shea, Greg, Padmore, Ramesh, Jonnalagadda, Andrey, Litvin, Aliaksandr, Filatau, Dzmitry, Paulouski, Maryna, Shubianok, Tatsiana, Shachykava, Dzianis, Khokha, Vladimir, Khokha, Fernande, Djivoh, Francis, Dossou, Djifid Morel Seto, Dansou Gaspard Gbessi, Bruno, Noukpozounkou, Yacoubou Imorou Souaibou, Kpèmahouton René Keke, Fred, Hodonou, Ernest Yemalin Stephane Ahounou, Thierry, Alihonou, Max, Dénakpo, Germain, Ahlonsou, Alemayehu Ginbo Bedada, Carlos, Nsengiyumva, Sandrine, Kwizera, Venerand, Barendegere, Philip, Choi, Simon, Stock, Luai, Jamal, Georges, Azzie, Sameer, Kushwaha, Tzu-Ling, Chen, Chingwan, Yip, Irene, Montes, Felipe, Zapata, Sebastian, Sierra, Maria Isabel Villegas Lanau, Maria Clara Mendoza Arango, Ivan Mendoza Restrepo, Ruben Santiago Restrepo Giraldo, Edgar, Domini, Robert, Karlo, Jakov, Mihanovic, Mohamed, Youssef, Hossam, Elfeki, Waleed, Thabet, Aly, Sanad, Gehad, Tawfik, Ahmed, Zaki, Noran, Abdel-Hameed, Mohamed, Mostafa, Muhammad Fathi Waleed Omar, Ahmed, Ghanem, Emad, Abdallah, Adel, Denewar, Eman, Emara, Eman, Rashad, Ahmad, Sakr, Rehab, Elashry, Sameh, Emile, Toqa, Khafagy, Sara, Elhamouly, Arwa, Elfarargy, Amna Mamdouh Mohamed, Ghada Saied Nagy, Abeer, Esam, Eman, Elwy, Aya, Hammad, Salwa, Khallaf, Eman, Ibrahim, Ahmed, Saidbadr, Ahmed, Moustafa, Amany Eldosouky Mohammed, Mohammed, Elgheriany, Eman, Abdelmageed, Eman Abd Al Raouf, Esraa Samir Elbanby, Maha, Elmasry, Mahitab Morsy Farahat, Eman Yahya Mansor, Eman Magdy Hegazy, Esraa, Gamal, Heba, Gamal, Hend, Kandil, Doaa Maher Abdelrouf, Mohamed, Moaty, Dina, Gamal, Nada, El-Sagheer, Mohamed, Salah, Salma, Magdy, Asmaa, Salah, Ahmed, Essam, Ahmed, Ali, Mahmoud, Badawy, Sara, Ahmed, Mazed, Mohamed, Abdelrahman, Assal, Mohamed, Sleem, Mai, Ebidy, Aly Abd Elrazek, Diaaaldin, Zahran, Nourhan, Adam, Mohamed, Nazir, Adel, B Hassanein, Ahmed, Ismail, Amira, Elsawy, Rana, Mamdouh, Mohamed, Mabrouk, Lopna Ahmed Mohamed Ahmed, Mohamed Hassab Alnaby, Eman, Magdy, Manar, Abd-Elmawla, Marwan, Fahim, Bassant, Mowafy, Moustafa Ibrahim Mahmoud, Meran, Allam, Muhammad, Alkelani, Noran Halim El Gendy, Mariam Saad Aboul-Naga, Reham Alaa El-Din, Alyaa Halim Elgendy, Ismail, MOHAMED BADRELDIN MOHAMED, Mahmoud, Shalaby, Aya Adel Elsharkawy, Mahmoud Elsayed Moghazy, Khaled Hesham Elbisomy, Hend Adel Gawad Shakshouk, Mohamed Fouad Hamed, Mai Mohamed Ebidy, Mostafa, Abdelkader, Mohamed, Karkeet, Hayam, Ahmed, Israa, Adel, Mohammad Elsayed Omar, Mohamed, Ibrahim, Omar, Ghoneim, Omar, Hesham, Shimaa, Gamal, Karim, Hilal, Omar, Arafa, Sawsan Adel Awad, Menatalla, Salem, Fawzia Abdellatif Elsherif, Nourhan, Elsabbagh, Moustafa, R Aboelsoud, Ahmed Hossam Eldin Fouad Rida, Amr, Hossameldin, Ethar, Hany, Yomna Hosny Asar, Nourhan, Anwar, Mohamed, Gadelkarim, Samar, Abdelhady, Eman Mohamed Morshedy, Reham, Saad, Nourhan, Soliman, Mahmoud, Salama, Eslam, Ezzat, Arwa, Mohamed, Arwa, Ibrahim, Alaa, Fergany, Sara, Mohammed, Aya, Reda, Yomna, Allam, Hanan Adel Saad, Afnan, Abdelfatah, Aya Mohamed Fathy, Ahmed, El-Sehily, Esraa Abdalmageed Kasem, Ahmed Tarek Abdelbaset Hassan, Ahmed Rabeih Mohammed, Abdalla Gamal Saad, Yasmin, Elfouly, Nesma, Elfouly, Arij, Ibrahim, Amr, Hassaan, Mohammed Mustafa Mohammed, Ghada, Elhoseny, Mohamed, Magdy, Esraa Abd Elkhalek, Yehia, Zakaria, Tarek, Ezzat, Ali Abo El Dahab, Mohamed, Kelany, Sara, Arafa, Osama Mokhtar Mohamed Hassan, Nermin Mohamed Badwi, Ahmad Saber Sleem, Hussien, Ahmed, Kholoud, Abdelbadeai, Mohamed Abozed Abdullah, Muhammad Amsyar Auni Lokman, Suraya, Bahar, Anan Rady Abdelazeam, Abdelrahman, Adelshone, Muhammad Bin Hasnan, Athirah, Zulkifli, Siti Nur Alia Kamarulzamil, Abdelaziz, Elhendawy, Aliang, Latif, Ahmad Bin Adnan, Shahadatul, Shaharuddin, Aminah Hanum Haji Abdul Majid, Mahmoud, Amreia, Dina, Al-Marakby, Mahmoud, Salma, Mohamad Jeffrey Bin Ismail, Elissa Rifhan Mohd Basir, Citra Dewi Mohd Ali, Aya Yehia Ata, Maha, Nasr, Asmaa, Rezq, Ahmed, Sheta, Sherif, Tariq, Abd Elkhalek Sallam, Abdelrhman Kz Darwish, Sohaila, Elmihy, Shady, Elhadry, Farag, MAZEN MOHAMED AHMED HASSAN, Haidar, Hajeh, Abdelaziz, Abdelaal, Amro, Aglan, Ahmed, Zohair, Mahitab, Essam, Omar, Moussa, Esraa, El-Gizawy, Mostafa, Samy, Safia, Ali, Esraa, Elhalawany, Ahmed, Ata, Mohamed El Halawany, Mohamed, Nashat, Samar, Soliman, Alaa, Elazab, Mostada, Samy, Mohamed, A Abdelaziz, Khaled, Ibrahim, Ammar, Gado, Usama, Hantour, Esraa Alm Eldeen, Mohamed Reda Loaloa, Arwa, Abouzaid, Mostafa Ahmed Bahaa Eldin, Eman, Hashad, Fathy, Sroor, Doaa, Gamil, Eman Mahmoud Abdulhakeem, Mahmoud, Zakaria, Fawzy, Mohamed, Marwan, Abubakr, Elsayed, Ali, Hesham, Magdy, Menna Tallah Ramadan, ABDELATY MOHAMED AHMED, Neama, Salma, Mansour, Hager Abdul Aziz Amin, Ahmed Rabie Mohamed, Mahmoud, Saami, Nada Ahmed Reda Elsayed, Adham, Tarek, Sabry Mohy Eldeen Mahmoud, Islam Magdy El Sayed, Amira, Reda, Martina Yusuf Shawky, Mohammed Mousa Salem, Shahinaz Alaa El-Din, Noha Abdullah Soliman, Muhammed, Talaat, Shahinaz, Alaael-Dein, Ahmed Abd Elmoen Elhusseiny, Noha, Abdullah, Mohammed, Elshaar, Aya AbdelFatah Ibraheem, Hager, Abdulaziz, Mohammed Kamal Ismail, Mona Hamdy Madkor, Mohamed, Abdelaty, Sara Mahmoud Abdel-Kader, Osama Mohamed Salah, Mahmoud, Eldafrawy, Ahmed Zaki Eldeeb, Mostafa Mahmoud Eid, Attia, Attia, Khalid Salah El-Dien, Ayman, Shwky, Mohamed Adel Badenjki, Soliman, Abdelrahman, Samaa Mahmoud Al Attar, Farrag, Sayed, Fahd Abdel Sabour, Mohammed, G Azizeldine, Muhammad, Shawqi, Abdullah, Hashim, Ahmed, Aamer, Ahmed Mahmoud Abdelraouf, Mahmoud, Abdelshakour, Amal, Ibrahim, Basma, Mahmoud, Mohamed Ali Mahmoud, Mostafa, Qenawy, Ahmed, M Rashed, Ahmed, Dahy, Marwa, Sayed, Ahmed, W Shamsedine, Bakeer, Mohamed, Ahmad, Hasan, Mahmoud, M Saad, Khalil Abdul Bassit, Nadia Khalid Abd El-Latif, Nada, Elzahed, Ahmed El Kashash, Nada Mohamed Bekhet, Sarah, Hafez, Ahmed, Gad, Mahmoud Elkhadragy Maher, Ahmed Abd Elsameea, Mohamed, Hafez, Ahmad, Sabe, Ataa, Ahmed, Ahmed, Shahine, Khaled, Dawood, Shireen, Gaafar, Reem, Husseiny, Omnia, Aboelmagd, Ahmed, Soliman, Nourhan, Mesbah, Hossam, Emadeldin, Amgad Al Meligy, Amira Hassan Bekhet, Doaa, Hasan, Khaled, Alhady, Ahmad Khaled Sabe, Mahmoud, A Elnajjar, Majed, Aboelella, Ward, Hamsho, Ihab, Hassan, Hala, Saad, Galaleldin, Abdelazim, Hend, Mahmoud, Noha, Wael, Ahmedali, M Kandil, Ahmed, Magdy, Shimaa Said Elkholy, Badr Eldin Adel, Kareem, Dabbour, Saged, Elsherbiney, Omar, Mattar, Abdulshafi Khaled Abdrabou, Mohammed Yahia Mohamed Aly, Abdelrahman, Geuoshy, Ahmedglal, Elnagar, Saraibrahim, Ahmed, Ibrahem, Abdelmotaleb, Amr Ahmed Saleh, Manar, Saeed, Shady, Mahmoud, Badreldin Adel Tawfik, Samar Adel Ismail, Esraay, Zakaria, Mariam, O Gad, Mohamed Salah Elhelbawy, Monica, Bassem, Noha, Maraie, Nourhan Medhat Elhadary, Nourhan, Semeda, Shaza Rabie Mohamed, Hesham Mohammed Bakry, Dina Tarek Essam, Khlood, Ashour, Alaa, Elhadad, Abdulrahman, Abdel-Aty, Ibrahim, Rakha, Sara Mamdouh Matter, Rasha, Abdelhamed, Omar, Abdelkader, Ayat, Hassaan, Yasmin, Soliman, Amna, Mohamed, Sara, Ghanem, Sara Amr Mohamed Farouk, Eman Mohamed Ibrahim, Esraa, El-Taher, Merna, Mostafa, Mohamed Fawzy Mahrous Badr, Rofida, Elsemelawy, Aya, El-Sawy, Ahmad, Bakr, Ahmad Abdel Razaq Al Rafati, Sten, Saar, Arvo, Reinsoo, Nebyou, Seyoum, Tewodros, Worku, Agazi, Fitsum, Matti, Tolonen, Ari, Leppäniemi, Ville, Sallinen, Benoît, Parmentier, Matthieu, Peycelon, Sabine, Irtan, Sabrina, Dardenne, Elsa, Robert, Betty, Maillot, Etienne, Courboin, Alexis Pierre Arnaud, Juliette, Hascoet, Olivier, Abbo, Amir Ait Kaci, Thomas, Prudhomme, Quentin, Ballouhey, Céline, Grosos, Laurent, Fourcade, Tolg, Cecilia, Colombani, Jean-Francois, Francois-Coridon, Helene, Xavier, Delforge, Elodie, Haraux, Bertrand, Dousset, Roberto, Schiavone, Sebastien, Gaujoux, Jean-Baptiste, Marret, Aurore, Haffreingue, Julien, Rod, Mariette, Renaux-Petel, Jean-François, Lecompte, Jean, Bréaud, Pauline, Gastaldi, Chouikh, Taieb, Raquillet, Claire, Echaieb, Anis, Nasir, Bustangi, Manuel, Lopez, Aurelien, Scalabre, Maria Giovanna Grella, Aurora, Mariani, Guillaume, Podevin, Françoise, Schmitt, Erik, Hervieux, Aline, Broch, Cecile, Muller, Dickson, Bandoh, Francis, Abantanga, Martin, Kyereh, Hamza, Asumah, Eric Kofi Appiah, Paul, Wondoh, Adam, Gyedu, Charles, Dally, Kwabena, Agbedinu, Michael, Amoah, Abiboye, Yifieyeh, Frank, Owusu, Mabel, Amoako-Boateng, Makafui, Dayie, Richmond, Hagan, Sam, Debrah, Micheal, Ohene-Yeboah, Joe-Nat, Clegg-Lampety, Victor, Etwire, Jonathan, Dakubo, Samuel, Essoun, William, Bonney, Hope, Glover-Addy, Samuel, Osei-Nketiah, Joachim, Amoako, Niiarmah, Adu-Aryee, William, Appeadu-Mensah, Antoinette, Bediako-Bowan, Florence, Dedey, Mattew, Ekow, Emmanuel, Akatibo, Musah, Yakubu, Hope Edem Kofi Kordorwu, Kwasi, Asare-Bediako, Enoch, Tackie, Kenneth, Aaniana, Emmanuel, Acquah, Richard, Opoku-Agyeman, Anthony, Avoka, Kwasi, Kusi, Kwame, Maison, Frank Enoch Gyamfi, Gandau Naa Barnabas, Saiba, Abdul-Latif, Philip Taah Amoako, Anthony, Davor, Victor, Dassah, Prince Kwakyeafriyie Dagoe, Elliot, Akoto, Eric, Ackom, Ekow, Mensah, Ebenezer Takyi Atkins, Christian Lari Coompson, Nikolaos, Ivros, Christoforos, Ferousis, Vasileios, Kalles, Christos, Agalianos, Ioannis, Kyriazanos, Christos, Barkolias, Angelos, Tselos, Georgios, Tzikos, Evangelos, Voulgaris, Dimitrios, Lytras, Athanasia, Bamicha, Kyriakos, Psarianos, Anastasios, Stefanopoulos, Ioannis, Patoulias, Dimitrios, Sfougaris, Ioannis, Valioulis, Dimitrios, Balalis, Dimitrios, Korkolis, Dimitrios, K Manatakis, Georgios, Kyrou, Georgios, Karabelias, Iason-Antonios, Papaskarlatos, Kolonia, Konstantina, Nikolaos, Zampitis, Stylianos, Germanos, Aspasia, Papailia, Theodosios, Theodosopoulos, Georgios, Gkiokas, Magdalini, Mitroudi, Christina, Panteli, Thomas, Feidantsis, Konstantinos, Farmakis, Dimitrios, Kyziridis, Orestis, Ioannidis, Styliani, Parpoudi, Georgios, Gemenetzis, Stavros, Parasyris, Christos, Anthoulakis, Nikolaos, Nikoloudis, Michail, Margaritis, Maria-Lorena, Aguilera-Arevalo, Otto, Coyoy-Gaitan, Javier, Rosales, Luis, Tale, Rafael, Soley, Emmanuel, Barrios, Servio Tulio Torres Rodriguez, Carlos Paz Galvez, Danilo Herrera Cruz, Guillermo Sanchez Rosenberg, Alejandro, Matheu, David Monterroso Cohen, Marie, Paul, Angeline, Charles, Justin Chak Yiu Lam, Man Hon Andrew Yeung, Chi Ying Jacquelyn Fok, Ka Hin Gabriel Li, Anthony Chuk-Him Lai, Yuk Hong Eric Cheung, Hong Yee Wong, Ka Wai Leung, Tien Seng Bryan Lee, Wai Him Lam, Weihei, Dao, Stephanie Hiu-Wai Kwok, Tsz-Yan Katie Chan, Yung Kok Ng, Twc, Mak, Chi Chung Foo, James, Yang, Ankur, Bhatnagar, Vijaid, Upadhyaya, Uday, Muddebihal, Wasim, Dar, C Janardha, K, Neerav, Aruldas, Fidelis Jacklyn Adella, Anthonius Santoso Rulie, Ferdy, Iskandar, Jonny, Setiawan, Cicilia Viany Evajelista, Hani, Natalie, Arlindawati, Suyadi, Rudy, Gunawan, Herlin, Karismaningtyas, Lusi Padma Sulistianingsih Mata, Ferry Fitriya Ayu Andika, Afifatun, Hasanah, T Ariani Widiastini, Nurlaila Ayu Purwaningsih, Annisa Dewi Fitriana Mukin, Dina Faizatur Rahmah, Hazmi Dwinanda Nurqistan, Hasbi Maulana Arsyad, Novia, Adhitama, Wifanto Saditya Jeo, Nathania, Sutandi, Audrey, Clarissa, Phebe Anggita Gultom, Matthew, Billy, Andreass, Haloho, Nadya, Johanna, Felix, Lee, Radin Mohd Nurrahman Radin Dorani, Martha, Glynn, Mohammad, Alherz, Wennweoi, Goh, Haaris, A Shiwani, Lorraine, Sproule, Kevin, C Conlon, Miklosh, Bala, Asaf, Kedar, Luca, Turati, Bianco, Federica, Francesca, Steccanella, Gallo, Gaetano, Mario, Trompetto, Giuseppe, Clerico, Sammarco, Giuseppe, Rosario, Sacco, Angelo, Benevento, Luisa, Giavarini, Mariano Cesare Giglio, Luigi, Bucci, Gianluca, Pagano, Viviana, Sollazzo, Roberto, Peltrini, Gaetano, Luglio, Arianna, Birindelli, Salomone Di Saverio, Gregorio, Tugnoli, Miguel Angel Paludi, Pietro, Mingrone, Domenica, Pata, Francesco, Selvaggi, Lucio, Selvaggi, Gianluca, Pellino, DI MARTINO, Natale, Gianluca, Curletti, Paolo, Aonzo, Raffaele, Galleano, Stefano, Berti, Elisa, Francone, Boni, Silvia, Lorenzon, Laura, LO CONTE, Annalisa, Balducci, Genoveffa, Gianmaria, Confalonieri, Giovanni, Pesenti, Laura, Gavagna, Giorgio, Vasquez, Simone, Targa, Savino, Occhionorelli, Dario, Andreotti, Giacomo, Pata, Andrea, Armellini, Deborah, Chiesa, Fabrizio, Aquilino, Nicola, Chetta, Arcangelo, Picciariello, Mohamed, Abdelkhalek, Andrea, Belli, Silvia De Franciscis, Annamaria, Bigaran, Alessandro, Favero, Stefano M, M Basso, Paola, Salusso, Martina, Perino, Sylvie, Mochet, Diego, Sasia, Francesco, Riente, Migliore, Marco, David, Merlini, Silvia, Basilicò, Carlo, Corbellini, Veronica, Lazzari, Yuri, Macchitella, Luigi, Bonavina, Angelieri, Daniele, Coletta, Diego, Falaschi, Federica, Catani, Marco, Reali, Claudia, Mariastella, Malavenda, DEL BASSO, Celeste, Sergio, Ribaldi, Coletti, Massimo, Natili, Andrea, Depalma, Norma, Iannone, Immacolata, Antoniozzi, Angelo, Davide, Rossi, Daniele, Gui, Gerardo, Perrotta, Matteo, Ripa, Francesco Ruben Giardino, Maurizio, Foco, Erika, Vicario, Federico, Coccolini, Gabriela Elisa Nita, Nicoletta, Leone, Andrea, Bondurri, Anna, Maffioli, Andrea, Simioni, Davide De Boni, Sandro, Pasquali, Elena, Goldin, Elena, Vendramin, Eleonora, Ciccioli, Umberto, Tedeschi, Luca, Bortolasi, Paola, Violi, Tommaso, Campagnaro, Simone, Conci, Giovanni, Lazzari, Calogero, Iacono, Alfredo, Gulielmi, Serena, Manfreda, Rinaldi, ROSA ANNA, Maria Novella Ringressi, Beatrice, Brunoni, Giuseppe, Salamone, Mirko, Mangiapane, Paolino De Marco, Antonella La Brocca, Roberta, Tutino, Vania, Silvestri, Leo, Licari, Fontana, MARIO TOMMASO, Nicolò, Falco, Gianfranco, Cocorullo, Mostafa, Shalaby, Pierpaolo, Sileri, Claudio, Arcudi, Isam, Bsisu, Khaled, Aljboor, Lana, Abusalem, Aseel, Alnusairat, Ahmad, Qaissieh, Emad, Al-Dakka, Ali, Ababneh, Oday, Halhouli, Taha, Yusufali, Hussein, Mohammed, Justus, Lando, Robert, Parker, Wairimu, Ndegwa, Mantas, Jokubauskas, Jolanta, Gribauskaite, Justas, Kuliavas, Audrius, Dulskas, Narimantas, E Samalavicius, Kristijonas, Jasaitis, Audrius, Parseliunas, Viktorija, Nevieraite, Margarita, Montrimaite, Evelina, Slapelyte, Edvinas, Dainius, Romualdas, Riauka, Zilvinas, Dambrauskas, Andrejus, Subocius, Linas, Venclauskas, Antanas, Gulbinas, Saulius, Bradulskis, Simona, Kasputyte, Deimante, Mikuckyte, Mindaugas, Kiudelis, Tomas, Jankus, Steponas, Petrikenas, Matas, Pažuskis, Zigmantas, Urniežius, Mantas, Vilčinskas, Vincas Jonas Banaitis, Vytautas, Gaižauskas, Edvard, Grisin, Povilas, Mazrimas, Rokas, Rackauskas, Mantas, Drungilas, Karolis, Lagunavicius, Vytautas, Lipnickas, Dovilè, Majauskyté, Valdemaras, Jotautas, Tomas, Abaliksta, Laimonas, Uščinas, Gintaras, Simutis, Adomas, Ladukas, Donatas, Danys, Erikas, Laugzemys, Saulius, Mikalauskas, Elena Zdanyte Sruogiene, Petras, Višinskas, Reda, Žilinskienė, Deividas, Dragatas, Andrius, Burmistrovas, Zygimantas, Tverskis, Arturas, Vaicius, Ruta, Mazelyte, Antanas, Zadoroznas, Nerijus, Kaselis, Greta, Žiubrytė, Finaritra Casimir Fleur Prudence Rahantasoa, Luc Hervé Samison, Fanjandrainy, Rasoaherinomenjanahary, Todisoa Emmanuella Christina Tolotra, Cornelius, Mukuzunga, Chimwemwe, Kwatiwani, Nelson, Msiska, Feng Yih Chai, Siti Mohd Desa Asilah, Khuzaimah Zahid Syibrah, Pui Xin Chin, Afizah, Salleh, Nur Zulaika Riswan, April Camilla Roslani, Hoong-Yin, Chong, Nora Abdul Aziz, Keat-Seong, Poh, Chu-Ann, Chai, Sandip, Kumar, Mustafa Mohammed Taher, Nik Ritza Kosai, Dayang Nita Abdul Aziz, Reynu, Rajan, Rokayah, Julaihi, Durvesh Lacthman Jethwani, Muhammad Taqiyuddin Yahaya, Nik Azim Nik Abdullah, Susan Wndy Mathew, Kuet Jun Chung, Milaksh Kumar Nirumal, Goh, R, Ern, Tze, Syed Abdul Wahhab Eusoffee Wan Ali, Yiing Yee Gan, Jesse Ron Swire Ting, Samuel S, Y Sii, Kean Leong Koay, Yi Koon Tan, Alvin Ee Zhiun Cheah, Chui Yee Wong, Tuan Nur'Azmah Tuan Mat, Crystal Yern Nee Chow, Prisca A, L Har, Yishan, Der, Fitjerald, Henry, Xinwei, Low, Ya Theng Neo, Hian Ee Heng, Shu Ning Kong, Cheewei, Gan, Yi Ting Mok, Yee Wen Tan, Kandasami, Palayan, Mahadevan Deva Tata, Yih Jeng Cheong Kuhaendran Gunaseelan, Wan Nurul 'Ain Wan Mohd Nasir, Pigeneswaren, Yoganathan, Eu Xian Lee, Jian Er Saw, Li Jing Yeang, Pei Ying Koh, Shyang Yee Lim, Shuang Yi Teo, Nicole, Grech, Daniela, Magri, Kristina, Cassar, Christine, Mizzi, Malcolm, Falzon, Nihaal, Shaikh, Ruth, Scicluna, Stefan, Zammit, Sean, Mizzi, Svetlana Doris Brincat, Thelma, Tembo, Vu Thanh Hien Le, Tara, Grima, Keith, Sammut, Kurt, Carabott, Ciskje, Zarb, Andre, Navarro, Thea, Dimech, Georgette Marie Camilleri, Isaac, Bertuello, Jeffrey, Dalli, Karl, Bonavia, Samantha, Corro-Diaz, Marisol, Manriquez-Reyes, Amina, Abdelhamid, Abdelmalek, Hrora, Sarah, Benammi, Houda, Bachri, Meryem, Abbouch, Khaoula, Boukhal, Redouane Mammar Bennai, Abdelkader, Belkouchi, Mohamed Sobhi Jabal, Chaymae, Benyaiche, Maarten, Vermaas, Lucia, Duinhouwer, Javier, Pastora, Greta, Wood, Maria Soledad Merlo, Akinlabi, Ajao, Omobolaji, Ayandipo, Taiwo, Lawal, Abdussemiu, Abdurrazzaaq, Muslimat, Alada, Abdulrasheed, Nasir, James, Adeniran, Olufemi, Habeeb, Ademola, Popoola, Ademola, Adeyeye, Ademola, Adebanjo, Opeoluwa, Adesanya, Adewale, Adeniyi, Henry, Mendel, Bashir, Bello, Umar, Muktar, Adedapo, Osinowo, Thomas Olagboyega Olajide, Oyindamola, Oshati, George, Ihediwa, Babajide, Adenekan, Victor, Nwinee, Felix, Alakaloko, Olumide, Elebute, Abdulrazzaq, Lawal, Chris, Bode, Mojolaoluwa, Olugbemi, Alaba, Adesina, Olubukola, Faturoti, Oluwatomi, Odutola, Oluwaseyi, Adebola, Clement, Onuoha, Ogechukwu, Taiwo, Omolara, Williams, Fatai, Balogun, Olalekan, Ajai, Mobolaji, Oludara, Iloba, Njokanma, Roland, Osuoji, Stephen, Kache, Jonathan, Ajah, Jerry, Makama, Ahmed, Adamu, Suleiman, Baba, Mohammad, Aliyu, Shamsudeen, Aliyu, Yahaya, Ukwenya, Halima, Aliyu, Tunde, Sholadoye, Muhammad, Daniyan, Oluseyi, Ogunsua, Lofty-John, Anyanwu, Abdurrahaman, Sheshe, Aminu Mohammad Samson Olori, Philip, Mshelbwala, Babatunde, Odeyemi, Garba, Samson, Oyediran Kehinde Timothy, Sani Ali Samuel, Anthony, Ajiboye, Isaac, Amole, Olajide, Abiola, Akin, Olaolorun, Torhild, Veen, Arezo, Kanani, Kristian, Styles, Ragnar, Herikstad, Johannes Wiik Larsen, Jon Arne Søreide, Elisabeth, Jensen, Mads, Gran, Eirik Kjus Aahlin, Tina, Gaarder, Peter Wiel Monrad-Hansen, Pål Aksel Næss, Giedrius, Lauzikas, Joachim, Wiborg, Silje, Holte, Knut Magne Augestad, Gurpreet Singh Banipal, Michela, Monteleone, Thomas Tetens Moe, Johannes Kurt Schultz, Taher, Al-Taher, Ayah, Hamdan, Ayman, Salman, Rana, Saadeh, Aseel, Musleh, Dana, Jaradat, Soha, Abushamleh, Sakhaa, Hanoun, Amjad Abu Qumbos, Aseel, Hamarshi, Ayman And Taher, Israa, Qawasmi, Khalid, Qurie, Marwa, Altarayra, Mohammad, Ghannam, Alaa, Shaheen, Azher, Herebat, Aram, Abdelhaq, Ahmad, Shalabi, Maram, Abu-Toyour, Fatema, Asi, Ala, Shamasneh, Anwar, Atiyeh, Mousa, Mustafa, Rula, Zaa'Treh, Majd, Dabboor, Enas, Alaloul, Heba, Baraka, Jehad, Meqbil, Alaa, Al-Buhaisi, Mohamedraed, Elshami, Samah, Afana, Sahar, Jaber, Said, Alyacoubi, Yousef Abuowda Tasneem Idress, Eman, Abuqwaider, Sara, Al-Saqqa, Alaa, Bowabsak, Alaa El Jamassi, Doaa, Hasanain, Hadeel, Al-Farram, Maram, Salah, Aya, Firwana, Marwa, Hamdan, Israa, Awad, Ahmad, Ashour, Fayez Elian Al Barrawi, Ahmed, Al-Khatib, Maha, Al-Faqawi, Mohamed, Fares, Amjad, Elmashala, Mohammad, Adawi, Ihdaa, Adawi, Reem, Khreishi, Rose, Khreishi, Ahed, Ghaben, Najwa, Nadeem, Muhammad, Saqlain, Jibran, Abbasy, Abdul Rehman Alvi, Noman, Shahzad, Kamran Faisal Bhopal, Zainab, Iftikhar, Muhammad Talha Butt, Syed Asaat Ul Razi, Asdaq, Ahmed, Ali Khan Niazi, Ibrahim, Raza, Fatima, Baluch, Ahmed, Raza, Ahmad, Bani-Sadar, Muhammad, Adil, Awais, Raza, Mahnoor, Javaid, Muhammad, Waqar, Maryam Ali Khan, Mohammad Mohsin Arshad, Mohammadasim, Amjad, Gustavo Miguel Machain Vega, Jorge Torres Cardozo, Marcelo, O Higgins Roche, Gustavo Rodolfo Pertersen Servin, Helmut Alfredo Segovia Lohse, Larissa Ines Páez Lopez, Ramón Augusto Melo Cardozo, Fernando, Espinoza, Angel David Pérez Rojas, Diana, Sanchez, Camila Sanchez Samaniego, Shalon Guevara Torres, Alexander Canta Calua, Cesar, Razuri, Nadia, Ortiz, Xianelle, Rodriguez, Nahilia, Carrasco, Fridiz, Saravia, Hector Shibao Miyasato, María, Valcarcel-Saldaña, Ysabel Esthefany Alejos Bermúdez, Juan, Carpio, Walter Ruiz Panez, Pedro Angel Toribio Orbegozo, Carolina Guzmán Dueñas, Kevin Turpo Espinoza, Ana Maria Sandoval Barrantes, Jorge Armando Chungui Bravo, Lorena, Fuentes-Rivera, Carmen, Fernández, Bárbara, Málaga, Joselyn, Ye, Ricardo, Velasquez, Jannin, Salcedo, Ana Lucia Contreras-Vergara, Angelica Genoveva Vergara Mejia, Maria Soledad Gonzales Montejo, Marilia Del Carmen Escalante Salas, Willy Alcca Ticona, Marvin, Vargas, George Christian Manrique Sila, Robinson, Mas, Arazzelly Del Pilar Paucar, Armando José Román Velásquez, Alina, Robledo-Rabanal, Ludwing Alexander Zeta Solis, Kenny Turpo Espinoza, José Luis Hamasaki Hamaguchi, Erick Samuel Florez Farfan, Linda Alvi Madrid Barrientos, Juan Jaime Herrera Matta, John Jemuel, V Mora, Menold Archee, P Redota, Manuel Francisco Roxas, Maria Jesusa, B Maño, Marie Dione Parreno-Sacdalan, Christel Leanne Almanon, Maciej, Walędziak, Rafa, Roszkowski, Micha, Janik, Anna, Lasek, Dorota, Radkowiak, Mateusz, Rubinkiewicz, Cristina, Fernandes, Jose, Costa-Maia, Renato, Melo, Liviu, Muntean, Aurel Sandu Mironescu, Lucian Corneliu Vida, Mariuca, Popa, Hogea, Mircea, Mihaela, Vartic, Bogdan, Diaconescu, Matei Razvan Bratu, Ionut, Negoi, Mircea, Beuran, Cezar, Ciubotaru, Norbert, Uzabumwana, Dieudonne, Duhoranenayo, Elio, Jovine, Nicola, Zanini, Giovanni, Landolfo, Murad, Aljiffry, Faisal, Idris, Mohammed Saleh, A Alghamdi, Ashraf, Maghrabi, Abdulmalik, Altaf, Aroub, Alkaaki, Ahmad, Khoja, Abrar, Nawawi, Sondos, Turkustani, Eyad, Khalifah, Adel, Albiety, Sarah, Sahel, Reham, Alshareef, Mohammed, Najjar, Ahmed, Alzahrani, Ahmed, Alghamdi, Wedyan, Alhazmi, Ghiath Al Saied, Mohammed, Alamoudi, Muhammed Masood Ria, Mazen, Hassanain, Basmah, Alhassan, Abdullah, Altamimi, Reem, Alyahya, Norah Al Subaie, Fatema Al Bastawis, Afnan, Altamimi, Thamer, Nouh, Roaa, Khan, Milan, Radojkovic, Ljiljana, Jeremic, Milica, Nestorovic, Jia Hao Law, Keith Say Kwang Tan, Ryan Choon Kiat Tan, Joel Kin Tan, Lau Wen Liang Joel, Xue Wei Chan, Faith Qi Hui Leong, Choon Seng Chong, Sharon, Koh, Kai Yin Lee, Kuok Chung Lee, Kent, Pluke, Britta, Dedekind, Puyearashid, Nashidengo, Mark Ian Hampton, Johanna, Joosten, Sanju, Sobnach, Liana, Roodt, Anthony, Sander, James, Pape, Niveshni, Maistry, Phumudzo, Ndwambi, Kamau, Kinandu, Myint, Tun, Frederick Du Toit, Quinn, Ellison, Sule, Burger, C Grobler, D, Lawrence Bongani Khulu, Vicky, Jennings, Astrid, Leusink, Nazmie, Kariem, Juan, Gouws, Kathryn, Chu, Heather, Bougard, Fazlin, Noor, Angela, Dell, Stephanie Van Straten, Arvin, Khamajeet, Serge Kapenda Tshisola, Kalangu, Kabongo, Victor, Kong, Yoshan, Moodley, Frank, Anderson, Thandinkosi, Madiba, Flip du Plooy, Leila, Hartford, Gareth, Chilton, Parveen, Karjiker, Matlou Ernest Mabitsela, Sibongile Ruth Ndlovu, Maria, Badicel, Robert, Jaich, Jaime, Ruiz-Tovar, Luis, Garcia-Florez, Jorge, L Otero-Díez, Virginia Ramos Pérez, Nuria Aguado Suárez, Javier Minguez García, Sara Corral Moreno, Maria Vicenta Collado, Virginia Jiménez Carneros, Javier García Septiem, Mariana, Gonzalez, Antonio, Picardo, Enrique, Esteban, Esther, Ferrero, Eloy, Espin-Basany, Ruth, Blanco-Colino, Valeria, Andriola, Lorena Solar García, Elisa, Contreras, Carmen García Bernardo, Janet, Pagnozzi, Sandra, Sanz, Alberto Miyar de León, Asnel, Dorismé, Joseluis, Rodicio, Aida, Suarez, Jessica, Stuva, Tamara Diaz Vico, Laura, Fernandez-Vega, Carla, Soldevila-Verdeguer, Fatima, Sena-Ruiz, Natalia, Pujol-Cano, Paula, Diaz-Jover, José Maria Garcia-Perez, Juan Jose Segura-Sampedro, Cristina, Pineño-Flores, David, Ambrona-Zafra, Andrea, Craus-Miguel, Patricia, Jimenez-Morillas, Angela, Mazzella, B Jayathilake, A, S P, B Thalgaspitiya, S Wijayarathna, L, P M S, N Wimalge, Hakeem Ayomi Sanni, Ogheneochuko, Okenabirhie, Anmar, Homeida, Abobaker, Younis, Omer Abdelbagi Omer, Mustafa, Abdulaziz, Ali, Mussad, Ali, Adam, Yucel, Cengiz, Ida, Björklund, Sandra, Ahlqvist, Anders, Thorell, Fredrik, Wogensen, Arestis, Sokratous, Michaela, Breistrand, Hildur, Thorarinsdottir, Johanna, Sigurdadottir, Maziar, Nikberg, Abbas, Chabok, Maria, Hjertberg, Peter, Elbe, Deborah, Saraste, Wiktor, Rutkowski, Louise, Forlin, Karoliina, Niska, Malin, Sund, Dennis, Oswald, Georgios, Peros, Rafael, Bluelle, Katharina, Reinisch, Daniel, Frey, Adrian, Palma, Dimitri Aristotle Raptis, Lucius, Zumbühl, Markus, Zuber, Roger, Schmid, Gabriela, Werder, Antonio, Nocito, Alexandra, Gerosa, Silke, Mahanty, Lukas Werner Widmer, Julia, Müller, Alissa, Gübeli, Grzegorz, Zuk, Osman Bilgin Gulcicek, Talar, Vartanoglu, Emin, Kose, Servet Rustu Karahan, Mehmet Can Aydin, Nuri Alper Sahbaz, Ilkay, Halicioglu, Halil, Alis, Ipek, Sapci, Can, Adıyaman, Ahmet Murat Pektaş, Turgut Bora Cengiz, Ilkan, Tansoker, Vedatcan, Işler, Muazzez, Cevik, Deniz, Mutlu, Volkan, Ozben, Berk Baris Ozmen, Sefa, Bayram, Sinem, Yolcu, Berna Buse Kobal, Ömer Faruk Toto, Haluk Cem Çakaloğlu, Kagan, Karabulut, Vahit, Mutlu, Bahar Busra Ozkan, Saban, Celik, Anil, Semiz, Selim, Bodur, Enisburak, Gül, Busra, Murutoglu, Reyyan, Yildirim, Bahadir Emre Baki, Ekin, Arslan, Mehmet, Ulusahin, Ali, Guner, Nathan, Walker, Nikhita, Shrimanker, Simon, Cole, Ryan, Breslin, Ravi, Srinivasan, Mohamed, Elshaer, Kristina, Hunter, Ahmed, Al-Bahrani, Ignatius, Liew, Nora Grace Mairs, Alistair, Rocke, Lachlan, Dick, Mobeen, Qureshi, Debkumar, Chowdhury, Naomi, Wright, Clare, Skerritt, Dorothy, Kufeji, Adrienne, Ho, Tharindra, Dissanayake, Athula, Tennakoon, Wadah, Ali, Shujing Jane Lim, Charlene, Tan, Stephen, O'Neill, Catrin, Jones, Dima, Nassif, Abhishek, Sharma, Oliver, Warren, Rebecca, White, Aia, Mehdi, Nathan, Post, Eliana, Kalakouti, Enkhbat, Dashnyam, Frederick, Stourton, Ioannis, Mykoniatis, Chelise, Currow, Francisca, Wong, Ashish, Gupta, Veeranna, Shatkar, Joshua, Luck, Suraj, Kadiwar, Alexander, Smedley, Rebecca, Wakefield, Philip, Herrod, James, Blackwell, Jonathan, Lund, Fraser, Cohen, Ashwath, Bandi, Giuliani, Stefano, Giles, Bond-Smith, Theodore, Pezas, Neda, Farhangmehr, Tomas, Urbonas, Miklos, Perenyei, Philip, Ireland, Natalie, Blencowe, Kirk, Bowling, David, Bunting, Lydia, Longstaff, Kenneth, Keogh, Hyunjin, Jeon, Muhammad Rafaih Iqbal, Shivun, Khosla, Anna, Jeffery, James, Perera, Ahmad Aboelkassem Ibrahem, Tariq, Alhammali, Yahya, Salama, Shaun, Oram, Thomas, Kidd, Fraser, Cullen, Christopher, Owen, Wilson, Michael Thomas, Seehui, Chiu, Hannah, Sarafilovi, Jennifer, Ploski, Elizabeth, Evans, Athar, Abbas, Sylvia, Kamya, Norzawani, Ishak, Carly, Bisset, Cedar, Andress, Ye Ru Chin, Priya, Patel, David, Evans, Aidan, Haslegrave, Adam, Boggon, Kirsten, Laurie, Katie, Connor, Thomas, Mann, Anahita, Mansuri, Rachel, Davies, Ewen, Griffiths, Aized Raza Shahbaz, Calvin, Eng, Farhat, Din, Ariadne, L'Heveder, Esther H, G Park, Ramanish, Ravishankar, Kirsten, Mcintosh, Jih Dar Yau, Luke, Chan, Susan, Mcgarvie, Lingshan, Tang, Hui, Lim, Suhhuey, Yap, Jay, Park, Zhan Herr Ng, Shahrukh, Mirza, Yun Lin Ang, Luke, Walls, Chloe, Roy, Simon, Paterson-Brown, Julian, Camilleri-Brennan, Michelle, S D'Souza, Savva, Pronin, David Ewart Henshall, Eunice Zuling Ter, Dina, Fouad, Ashish, Minocha, William, English, Catrin, Morgan, Dominic, Townsend, Laura, Maciejec, Shareef, Mahdi, Onyinye, Akpenyi, Elisabeth, Hall, Hanaan, Caydiid, Zakaria, Rob, Tom, Abbott, Hew, D Torrance, Robin, Johnston, Mohammed Akil Gani, Gianpiero, Gravante, Shivanchan, Rajmohan, Kiran, Majid, Shiva, Dindyal, Christopher, Smith, Madanmohan, Palliyil, Sanjay, Patel, Luke, Nicholson, Neil, Harvey, Katie, Baillie, Sam, Shillito, Suzanne, Kershaw, Rebecca, Bamford, Peter, Orton, Elke, Reunis, Robert, Tyler, Wai Cheong Soon, Guled, M Jama, Dharminder, Dhillon, Khyati, Pate, Shayanthan, Nanthakumaran, Rachel, Heard, Kar Yan Chen, Behrad, Barmayehvar, Uttaran, Datta, Sivesh, K Kamarajah, Sharad, Karandikar, Sobhana Iftekhar Tani, Eimear, Monaghan, Philippa, Donnelly, Michael, Walker, Jehangirshaw, Parakh, Sarah, Blacker, Anil, Kaul, Arjun, Paramasivan, Sameh, Farag, Ashrafun, Nessa, Salwa, Awadallah, Jieqi, Lim, James Chean Khun Ng, Ravi, P Kiran, Alice, Murray, Eric, Etchill, Mohini, Dasari, Juan, Puyana, Nadeem, Haddad, Martin, Zielinski, Asad, Choudhry, Celeste, Caliman, Mieshia, Beamon, Therese, Duane, Mamta, Swaroop, Jonathan, Myers, Rebecca, Deal, Erik, Schadde, Mark, Hemmila, Lena, Napolitano, Kathleen, To, Alex, Makupe, Joseph, Musowoya, Niels Van Der Naald, Dayson, Kumwenda, Alex, Reece-Smith, Kars, Otten, Anna, Verbeek, Marloes, Prins, Alibeth Andres Baquero Suarez, Ruben, Balmaceda, Chelsea, Deane, Emilio, Dijan, Mahmoud, Elfiky, Laura, Koskenvuo, Aurore, Thollot, Bernard, Limoges, Carmen, Capito, Challine, Alexandre, Henri, Kotobi, Julien, Leroux, Kalitha, Pinnagoda, Nicolas, Henric, Olivier, Azzis, Olivier, Rosello, Poddevin, Francois, Sara, Etienne, Philippe, Buisson, Sophian, Hmila, Joe-Nat, Clegg-Lamptey, Osman, Imoro, Owusu Emmanuel Abem, Dimitrios, Papageorgiou, Vasiliki, Soulou, Sabrina, Asturias, Lenin, Peña, Donal, B O'Connor, Alberto Realis Luc, Alfio Alessandro Russo, Andrea, Ruzzenente, Antonio, Taddei, Camilla, Cona, Corrado, Bottini, Giovanni, Pascale, Giuseppe, Rotunno, Leonardo, Solaini, Marco Maria Pascale, Margherita, Notarnicola, Mario, Corbellino, Sacco, Michele, Paolo, Ubiali, Roberto, Cautiero, Bocchetti, Tommaso, Elena, Muzio, Guglielmo, Vania, Eugenio, Morandi, Patrizio, Mao, Emilia De Luca, Farah Mahmoud Ali, Justas, Žilinskas, Kestutis, Strupas, Paulius, Kondrotas, Robertas, Baltrunas, Juozas, Kutkevicius, Povilas, Ignatavicius, Choy Ling Tan, Jia Yng Siaw, Sir Young Yam, Ling, Wilson, Mohamed Rezal Abdul Aziz, John, Bondin, Carmina Diaz Zorrilla, Anass, Majbar, Danjuma, Sale, Lawal, Abdullahi, Olabisi, Osagie, Omolara, Faboya, Adedeji, Fatuga, Agboola, Taiwo, Emeka, Nwabuoku, Marte, Bliksøen, Zain Ali Khan, Jazmin, Coronel, Cesar, Miranda, Idelso, Vasquez, Luis, M Helguero-Santin, Jennifer, Rickard, Adesina, Adedeji, Saleh, Alqahtani, Max, Rath, Michael Van Niekerk, Modise Zacharia Koto, Roel, Matos-Puig, Leif, Israelsson, Tobias, Schuetz, Mahmut Arif Yuksek, Meric, Mericliler, Mehmet, Uluşahi, Bernhard, Wolf, Cameron, Fairfield, Guo Liang Yong, Katharine, Whitehurst, Wilson, Michael, Natalie, Redgrave, Caroluce, K Musyoka, James, Olivier, Kathryn, Lee, Michael, Cox, Muhamed M, H Farhan-Alanie, Rory, Callan, Chali, Chibuye, Tebian Hassanein Ahmed Ali, Syrine, Rekhis, Muna, Rommaneh, Zi Hao Sam, Jacky Hong Chieh Chen, Dylan, Roi, Thays Brunelli Pugliesi, Gabriel, Pardo, Ruth, Blanco, Eugenio Grasset Escobar, Glasbey, Jame, Trout, Issi, Adeyeye, Victoria, Ademuyiwa, Adesoji, Adisa, Adewale, Bhatt, Alisha, Biccard, Bruce, Brocklehurst, Peter, De La Croix Allen Ingabire, Jean, Moïse Dossou, Franci, Durán, Irani, Dutta, Rohini, Ghosh, Dhruva, Gyamfi, Frank, Hardy, Pollyanna, Hyman, Gabriella, Jain, Ritu, Kadir, Bryar, Knight, Stephen, Ladipo-Ajayi, Oluwaseun, Lawani, Ismail, Lawani, Souliath, Lillywhite, Rachel, Macefield, Rhiannon, Magill, Laura, Martin, Janet, Mathers, Jonathan, Mclean, Kenneth, Mistry, Punam, Mittal, Rohin, Moore, Rachel, Morton, Dion, Ntirenganya, Faustin, Ofori, Emmanuel, Pearse, Rupert, Peón, Alberto, Pinkney, Thoma, Ramos de la Medina, Antonio, Ronald, Tubasiime, Roman, David, Simoes, Joana, Slade, Anita, Tabiri, Stephen, Smith, Donna, Harrison, Ewen, Bhangu, Aneel, Verjee, Azmina, Runigamugabo, Emmy, O Ademuyiwa, Adesoji, O Adisa, Adewale, Lorena Aguilera, Maria, Altamini, Afnan, Alexander, Philip, W Al-Saqqa, Sara, Borda-Luque, Giuliano, Cornick, Jen, Costas-Chavarri, Ainhoa, M Drake, Thoma, J Fergusson, Stuart, Edward Fitzgerald, J, C Allen Ingabire, J, Ismaïl, Lawani, Jaffry, Zahra, Khairy Salem, Hosni, Khatri, Chetan, Kirby, Andrew, Theophilus Teddy Kojo, Anyomih, Carmela Lapitan, Marie, Lilford, Richard, L Mihaljevic, Andre, Mohan, Midhun, Zeta Mutabazi, Alphonse, Nepogodiev, Dmitri, Ots, Riinu, Pata, Francesco, Poškus, Toma, Uzair Qureshi, Ahmad, Ramos-De la Medina, Antonio, Rayne, Sarah, Recinos, Gustavo, Søreide, Kjetil, A Shaw, Catherine, Shu, Sebastian, Spence, Richard, Smart, Neil, M Harrison, Ewen, Marta Modolo, Maria, Iyer, Dushyant, King, Sebastian, Arthur, Tom, Nazmum Nahar, Sayeda, Waterman, Ade, Walsh, Michael, Agarwal, Arnav, Zani, Augusto, Firdouse, Mohammed, Rouse, Tyler, Liu, Qinyang, Camilo Correa, Juan, Talving, Peep, Worku, Mengistu, Arnaud, Alexi, Kalles, Vassili, Kumar, Basant, Kumar, Sunil, Amandito, Radhian, Quek, Roy, Ansaloni, Luca, Altibi, Ahmed, Venskutonis, Donata, Zilinskas, Justa, Poskus, Toma, Whitaker, John, Msosa, Vanessa, Yong Tew, Yong, Farrugia, Alexia, Borg, Elaine, Bentounsi, Zineb, Gala, Tanzeela, Al-Slaibi, Ibrahim, Tahboub, Haya, H Alser, Osaid, Romani, Diego, Shu, Sebestian, Major, Piotr, Mironescu, Aurel, Bratu, Matei, Kourdouli, Amar, Ndajiwo, Aliyu, Altwijri, Abdulaziz, Ubaid Alsaggaf, Mohammed, Gudal, Ahmad, Faifi Jubran, Al, Seisay, Sam, Lieske, Bettina, Ortega, Irene, Jeyakumar, Jenifa, J Senanayake, Kithsiri, Abdulbagi, Omar, Cengiz Dmitri Raptis, Yucel, Altinel, Yuksel, Kong, Chia, Teasdale, Ella, Irwin, Gareth, Stoddart, Michael, Kabariti, Rakan, Suresh, Sukrit, Gash, Katherine, Narayanan, Ragavan, Maimbo, Mayaba, Grizhja, Besmir, Ymeri, Shpetim, Galiqi, Gezim, Klappenbach, Roberto, Antezana, Diego, Enrique Mendoza Beleño, Alvaro, Costa, Cecilia, Sanchez, Belen, Aviles, Susan, Gabriel Fermani, Claudio, Balmaceda, Rubén, Villalobos, Santiago, Manuel Carmona, Juan, Hamill, Daniel, Deutschmann, Peter, Sandler, Simone, Cox, Daniel, Nataraja, Ram, Sharpin, Claire, Ljuhar, Damir, Gray, Demi, Haines, Morgan, Ashtari, Morvarid, Franco, Helena, Rahman Mitul, Ashrarur, Karim, Sabbir, F Aman, Nowrin, Mahfuz Estee, Mahnuma, Salma, Umme, Razzaque, Joyeta, Hamid Kanta, Tasnia, Aktar Tori, Sayeeda, Alamin, Shadid, Roy, Swapnil, Al Amin, Shadid, Karim, Rezaul, Haque, Muhtarima, Faruq, Amreen, Iftekhar, Farhana, O'Shea, Margaret, Padmore, Greg, Jonnalagadda, Ramesh, Litvin, Andrey, Filatau, Aliaksandr, Paulouski, Dzmitry, Shubianok, Maryna, Shachykava, Tatsiana, Khokha, Dziani, Khokha, Vladimir, Djivoh, Fernande, Dossou, Franci, Morel Seto, Djifid, Gaspard Gbessi, Dansou, Noukpozounkou, Bruno, Imorou Souaibou, Yacoubou, René Keke, Kpèmahouton, Hodonou, Fred, Yemalin Stephane Ahounou, Ernest, Alihonou, Thierry, Dénakpo, Max, Ahlonsou, Germain, Ginbo Bedada, Alemayehu, Nsengiyumva, Carlo, Kwizera, Sandrine, Barendegere, Venerand, Choi, Philip, Stock, Simon, Jamal, Luai, Azzie, George, Kushwaha, Sameer, Chen, Tzu-Ling, Yip, Chingwan, Montes, Irene, Zapata, Felipe, Sierra, Sebastian, Isabel Villegas Lanau, Maria, Clara Mendoza Arango, Maria, Mendoza Restrepo, Ivan, Santiago Restrepo Giraldo, Ruben, Domini, Edgar, Karlo, Robert, Mihanovic, Jakov, Youssef, Mohamed, Elfeki, Hossam, Thabet, Waleed, Sanad, Aly, Tawfik, Gehad, Zaki, Ahmed, Abdel-Hameed, Noran, Mostafa, Mohamed, Fathi Waleed Omar, Muhammad, Ghanem, Ahmed, Abdallah, Emad, Denewar, Adel, Emara, Eman, Rashad, Eman, Sakr, Ahmad, Elashry, Rehab, Emile, Sameh, Khafagy, Toqa, Elhamouly, Sara, Elfarargy, Arwa, Mamdouh Mohamed, Amna, Saied Nagy, Ghada, Esam, Abeer, Elwy, Eman, Hammad, Aya, Khallaf, Salwa, Ibrahim, Eman, Saidbadr, Ahmed, Moustafa, Ahmed, Eldosouky Mohammed, Amany, Elgheriany, Mohammed, Abdelmageed, Eman, Abd Al Raouf, Eman, Samir Elbanby, Esraa, Elmasry, Maha, Morsy Farahat, Mahitab, Yahya Mansor, Eman, Magdy Hegazy, Eman, Gamal, Esraa, Gamal, Heba, Kandil, Hend, Maher Abdelrouf, Doaa, Moaty, Mohamed, Gamal, Dina, El-Sagheer, Nada, Salah, Mohamed, Magdy, Salma, Salah, Asmaa, Essam, Ahmed, Ali, Ahmed, Badawy, Mahmoud, Ahmed, Sara, Mohamed, Mazed, Assal, Abdelrahman, Sleem, Mohamed, Ebidy, Mai, Abd Elrazek, Aly, Zahran, Diaaaldin, Adam, Nourhan, Nazir, Mohamed, B Hassanein, Adel, Ismail, Ahmed, Elsawy, Amira, Mamdouh, Rana, Mabrouk, Mohamed, Ahmed Mohamed Ahmed, Lopna, Hassab Alnaby, Mohamed, Magdy, Eman, Abd-Elmawla, Manar, Fahim, Marwan, Mowafy, Bassant, Ibrahim Mahmoud, Moustafa, Allam, Meran, Alkelani, Muhammad, Halim El Gendy, Noran, Saad Aboul-Naga, Mariam, Alaa El-Din, Reham, Halim Elgendy, Alyaa, Ismail, Mohamed, Shalaby, Mahmoud, Adel Elsharkawy, Aya, Elsayed Moghazy, Mahmoud, Hesham Elbisomy, Khaled, Adel Gawad Shakshouk, Hend, Fouad Hamed, Mohamed, Mohamed Ebidy, Mai, Abdelkader, Mostafa, Karkeet, Mohamed, Ahmed, Hayam, Adel, Israa, Elsayed Omar, Mohammad, Ibrahim, Mohamed, Ghoneim, Omar, Hesham, Omar, Gamal, Shimaa, Hilal, Karim, Arafa, Omar, Adel Awad, Sawsan, Salem, Menatalla, Abdellatif Elsherif, Fawzia, Elsabbagh, Nourhan, R Aboelsoud, Moustafa, Hossam Eldin Fouad Rida, Ahmed, Hossameldin, Amr, Hany, Ethar, Hosny Asar, Yomna, Anwar, Nourhan, Gadelkarim, Mohamed, Abdelhady, Samar, Mohamed Morshedy, Eman, Saad, Reham, Soliman, Nourhan, Salama, Mahmoud, Ezzat, Eslam, Mohamed, Arwa, Ibrahim, Arwa, Fergany, Alaa, Mohammed, Sara, Reda, Aya, Allam, Yomna, Adel Saad, Hanan, Abdelfatah, Afnan, Mohamed Fathy, Aya, El-Sehily, Ahmed, Abdalmageed Kasem, Esraa, Tarek Abdelbaset Hassan, Ahmed, Rabeih Mohammed, Ahmed, Gamal Saad, Abdalla, Elfouly, Yasmin, Elfouly, Nesma, Ibrahim, Arij, Hassaan, Amr, Mustafa Mohammed, Mohammed, Elhoseny, Ghada, Magdy, Mohamed, Abd Elkhalek, Esraa, Zakaria, Yehia, Ezzat, Tarek, Abo El Dahab, Ali, Kelany, Mohamed, Arafa, Sara, Mokhtar Mohamed Hassan, Osama, Mohamed Badwi, Nermin, Saber Sleem, Ahmad, Ahmed, Hussien, Abdelbadeai, Kholoud, Abozed Abdullah, Mohamed, Amsyar Auni Lokman, Muhammad, Bahar, Suraya, Rady Abdelazeam, Anan, Adelshone, Abdelrahman, Bin Hasnan, Muhammad, Zulkifli, Athirah, Nur Alia Kamarulzamil, Siti, Elhendawy, Abdelaziz, Latif, Aliang, Bin Adnan, Ahmad, Shaharuddin, Shahadatul, Hanum Haji Abdul Majid, Aminah, Amreia, Mahmoud, Al-Marakby, Dina, Salma, Mahmoud, Jeffrey Bin Ismail, Mohamad, Rifhan Mohd Basir, Elissa, Dewi Mohd Ali, Citra, Yehia Ata, Aya, Nasr, Maha, Rezq, Asmaa, Sheta, Ahmed, Tariq, Sherif, Elkhalek Sallam, Abd, Kz Darwish, Abdelrhman, Elmihy, Sohaila, Elhadry, Shady, Farag, Ahmed, Hajeh, Haidar, Abdelaal, Abdelaziz, Aglan, Amro, Zohair, Ahmed, Essam, Mahitab, Moussa, Omar, El-Gizawy, Esraa, Samy, Mostafa, Ali, Safia, Elhalawany, Esraa, Ata, Ahmed, El Halawany, Mohamed, Nashat, Mohamed, Soliman, Samar, Elazab, Alaa, Samy, Mostada, A Abdelaziz, Mohamed, Ibrahim, Khaled, Gado, Ammar, Hantour, Usama, Alm Eldeen, Esraa, Reda Loaloa, Mohamed, Abouzaid, Arwa, Ahmed Bahaa Eldin, Mostafa, Hashad, Eman, Sroor, Fathy, Gamil, Doaa, Mahmoud Abdulhakeem, Eman, Zakaria, Mahmoud, Mohamed, Fawzy, Abubakr, Marwan, Ali, Elsayed, Magdy, Hesham, Tallah Ramadan, Menna, Abdelaty Mohamed, Mohamed, Mansour, Salma, Abdul Aziz Amin, Hager, Rabie Mohamed, Ahmed, Saami, Mahmoud, Ahmed Reda Elsayed, Nada, Tarek, Adham, Mohy Eldeen Mahmoud, Sabry, Magdy El Sayed, Islam, Reda, Amira, Yusuf Shawky, Martina, Mousa Salem, Mohammed, Alaa El-Din, Shahinaz, Abdullah Soliman, Noha, Talaat, Muhammed, Alaael-Dein, Shahinaz, Abd Elmoen Elhusseiny, Ahmed, Abdullah, Noha, Elshaar, Mohammed, AbdelFatah Ibraheem, Aya, Abdulaziz, Hager, Kamal Ismail, Mohammed, Hamdy Madkor, Mona, Abdelaty, Mohamed, Mahmoud Abdel-Kader, Sara, Mohamed Salah, Osama, Eldafrawy, Mahmoud, Zaki Eldeeb, Ahmed, Mahmoud Eid, Mostafa, Attia, Attia, Salah El-Dien, Khalid, Shwky, Ayman, Adel Badenjki, Mohamed, Soliman, Abdelrahman, Mahmoud Al Attar, Samaa, Sayed, Farrag, Abdel Sabour, Fahd, G Azizeldine, Mohammed, Shawqi, Muhammad, Hashim, Abdullah, Aamer, Ahmed, Mahmoud Abdelraouf, Ahmed, Abdelshakour, Mahmoud, Ibrahim, Amal, Mahmoud, Basma, Ali Mahmoud, Mohamed, Qenawy, Mostafa, M Rashed, Ahmed, Dahy, Ahmed, Sayed, Marwa, W Shamsedine, Ahmed, Mohamed, Bakeer, Hasan, Ahmad, M Saad, Mahmoud, Abdul Bassit, Khalil, Khalid Abd El-Latif, Nadia, Elzahed, Nada, El Kashash, Ahmed, Mohamed Bekhet, Nada, Hafez, Sarah, Gad, Ahmed, Elkhadragy Maher, Mahmoud, Abd Elsameea, Ahmed, Hafez, Mohamed, Sabe, Ahmad, Ahmed, Ataa, Shahine, Ahmed, Dawood, Khaled, Gaafar, Shireen, Husseiny, Reem, Aboelmagd, Omnia, Soliman, Ahmed, Mesbah, Nourhan, Emadeldin, Hossam, Al Meligy, Amgad, Hassan Bekhet, Amira, Hasan, Doaa, Alhady, Khaled, Khaled Sabe, Ahmad, A Elnajjar, Mahmoud, Aboelella, Majed, Hamsho, Ward, Hassan, Ihab, Saad, Hala, Abdelazim, Galaleldin, Mahmoud, Hend, Wael, Noha, M Kandil, Ahmedali, Magdy, Ahmed, Said Elkholy, Shimaa, Eldin Adel, Badr, Dabbour, Kareem, Elsherbiney, Saged, Mattar, Omar, Khaled Abdrabou, Abdulshafi, Yahia Mohamed Aly, Mohammed, Geuoshy, Abdelrahman, Elnagar, Ahmedglal, Ahmed, Saraibrahim, Abdelmotaleb, Ibrahem, Ahmed Saleh, Amr, Saeed, Manar, Mahmoud, Shady, Adel Tawfik, Badreldin, Adel Ismail, Samar, Zakaria, Esraay, O Gad, Mariam, Salah Elhelbawy, Mohamed, Bassem, Monica, Maraie, Noha, Medhat Elhadary, Nourhan, Semeda, Nourhan, Rabie Mohamed, Shaza, Mohammed Bakry, Hesham, Tarek Essam, Dina, Ashour, Khlood, Elhadad, Alaa, Abdel-Aty, Abdulrahman, Rakha, Ibrahim, Mamdouh Matter, Sara, Abdelhamed, Rasha, Abdelkader, Omar, Hassaan, Ayat, Soliman, Yasmin, Mohamed, Amna, Ghanem, Sara, Amr Mohamed Farouk, Sara, Mohamed Ibrahim, Eman, El-Taher, Esraa, Mostafa, Merna, Fawzy Mahrous Badr, Mohamed, Elsemelawy, Rofida, El-Sawy, Aya, Bakr, Ahmad, Abdel Razaq Al Rafati, Ahmad, Saar, Sten, Reinsoo, Arvo, Seyoum, Nebyou, Worku, Tewodro, Fitsum, Agazi, Tolonen, Matti, Leppäniemi, Ari, Sallinen, Ville, Parmentier, Benoît, Peycelon, Matthieu, Irtan, Sabine, Dardenne, Sabrina, Robert, Elsa, Maillot, Betty, Courboin, Etienne, Pierre Arnaud, Alexi, Hascoet, Juliette, Abbo, Olivier, Ait Kaci, Amir, Prudhomme, Thoma, Ballouhey, Quentin, Grosos, Céline, Fourcade, Laurent, Cecilia, Tolg, Jean-Francois, Colombani, Helene, Francois-Coridon, Delforge, Xavier, Haraux, Elodie, Dousset, Bertrand, Schiavone, Roberto, Gaujoux, Sebastien, Marret, Jean-Baptiste, Haffreingue, Aurore, Rod, Julien, Renaux-Petel, Mariette, Lecompte, Jean-Françoi, Bréaud, Jean, Gastaldi, Pauline, Taieb, Chouikh, Claire, Raquillet, Anis, Echaieb, Bustangi, Nasir, Lopez, Manuel, Scalabre, Aurelien, Giovanna Grella, Maria, Mariani, Aurora, Podevin, Guillaume, Schmitt, Françoise, Hervieux, Erik, Broch, Aline, Muller, Cecile, Bandoh, Dickson, Abantanga, Franci, Kyereh, Martin, Asumah, Hamza, Kofi Appiah, Eric, Wondoh, Paul, Gyedu, Adam, Dally, Charle, Agbedinu, Kwabena, Amoah, Michael, Yifieyeh, Abiboye, Owusu, Frank, Amoako-Boateng, Mabel, Dayie, Makafui, Hagan, Richmond, Debrah, Sam, Ohene-Yeboah, Micheal, Clegg-Lampety, Joe-Nat, Etwire, Victor, Dakubo, Jonathan, Essoun, Samuel, Bonney, William, Glover-Addy, Hope, Osei-Nketiah, Samuel, Amoako, Joachim, Adu-Aryee, Niiarmah, Appeadu-Mensah, William, Bediako-Bowan, Antoinette, Dedey, Florence, Ekow, Mattew, Akatibo, Emmanuel, Yakubu, Musah, Edem Kofi Kordorwu, Hope, Asare-Bediako, Kwasi, Tackie, Enoch, Aaniana, Kenneth, Acquah, Emmanuel, Opoku-Agyeman, Richard, Avoka, Anthony, Kusi, Kwasi, Maison, Kwame, Enoch Gyamfi, Frank, Naa Barnabas, Gandau, Abdul-Latif, Saiba, Taah Amoako, Philip, Davor, Anthony, Dassah, Victor, Kwakyeafriyie Dagoe, Prince, Akoto, Elliot, Ackom, Eric, Mensah, Ekow, Takyi Atkins, Ebenezer, Lari Coompson, Christian, Ivros, Nikolao, Ferousis, Christoforo, Kalles, Vasileio, Agalianos, Christo, Kyriazanos, Ioanni, Barkolias, Christo, Tselos, Angelo, Tzikos, Georgio, Voulgaris, Evangelo, Lytras, Dimitrio, Bamicha, Athanasia, Psarianos, Kyriako, Stefanopoulos, Anastasio, Patoulias, Ioanni, Sfougaris, Dimitrio, Valioulis, Ioanni, Balalis, Dimitrio, Korkolis, Dimitrio, K Manatakis, Dimitrio, Kyrou, Georgio, Karabelias, Georgio, Papaskarlatos, Iason-Antonio, Konstantina, Kolonia, Zampitis, Nikolao, Germanos, Styliano, Papailia, Aspasia, Theodosopoulos, Theodosio, Gkiokas, Georgio, Mitroudi, Magdalini, Panteli, Christina, Feidantsis, Thoma, Farmakis, Konstantino, Kyziridis, Dimitrio, Ioannidis, Oresti, Parpoudi, Styliani, Gemenetzis, Georgio, Parasyris, Stavro, Anthoulakis, Christo, Nikoloudis, Nikolao, Margaritis, Michail, Aguilera-Arevalo, Maria-Lorena, Coyoy-Gaitan, Otto, Rosales, Javier, Tale, Lui, Soley, Rafael, Barrios, Emmanuel, Tulio Torres Rodriguez, Servio, Paz Galvez, Carlo, Herrera Cruz, Danilo, Sanchez Rosenberg, Guillermo, Matheu, Alejandro, Monterroso Cohen, David, Paul, Marie, Charles, Angeline, Chak Yiu Lam, Justin, Hon Andrew Yeung, Man, Ying Jacquelyn Fok, Chi, Hin Gabriel Li, Ka, Chuk-Him Lai, Anthony, Hong Eric Cheung, Yuk, Yee Wong, Hong, Wai Leung, Ka, Seng Bryan Lee, Tien, Him Lam, Wai, Dao, Weihei, Hiu-Wai Kwok, Stephanie, Katie Chan, Tsz-Yan, Kok Ng, Yung, Mak, Twc, Chung Foo, Chi, Yang, Jame, Bhatnagar, Ankur, Upadhyaya, Vijaid, Muddebihal, Uday, Dar, Wasim, C Janardha, K, Aruldas, Neerav, Jacklyn Adella, Fideli, Santoso Rulie, Anthoniu, Iskandar, Ferdy, Setiawan, Jonny, Viany Evajelista, Cicilia, Natalie, Hani, Suyadi, Arlindawati, Gunawan, Rudy, Karismaningtyas, Herlin, Padma Sulistianingsih Mata, Lusi, Fitriya Ayu Andika, Ferry, Hasanah, Afifatun, Ariani Widiastini, T, Ayu Purwaningsih, Nurlaila, Dewi Fitriana Mukin, Annisa, Faizatur Rahmah, Dina, Dwinanda Nurqistan, Hazmi, Maulana Arsyad, Hasbi, Adhitama, Novia, Saditya Jeo, Wifanto, Sutandi, Nathania, Clarissa, Audrey, Anggita Gultom, Phebe, Billy, Matthew, Haloho, Andrea, Johanna, Nadya, Lee, Felix, Mohd Nurrahman Radin Dorani, Radin, Glynn, Martha, Alherz, Mohammad, Goh, Wennweoi, A Shiwani, Haari, Sproule, Lorraine, C Conlon, Kevin, Bala, Miklosh, Kedar, Asaf, Turati, Luca, Bianco, Federica, Steccanella, Francesca, Gallo, Gaetano, Trompetto, Mario, Clerico, Giuseppe, Sammarco, Giuseppe, Sacco, Rosario, Benevento, Angelo, Giavarini, Luisa, Cesare Giglio, Mariano, Bucci, Luigi, Pagano, Gianluca, Sollazzo, Viviana, Peltrini, Roberto, Luglio, Gaetano, Birindelli, Arianna, Di Saverio, Salomone, Tugnoli, Gregorio, Angel Paludi, Miguel, Mingrone, Pietro, Pata, Domenica, Selvaggi, Francesco, Selvaggi, Lucio, Pellino, Gianluca, DI MARTINO, Natale, Curletti, Gianluca, Aonzo, Paolo, Galleano, Raffaele, Berti, Stefano, Francone, Elisa, Boni, Silvia, Lorenzon, Laura, Lo Conte, Annalisa, Balducci, Genoveffa, Confalonieri, Gianmaria, Pesenti, Giovanni, Gavagna, Laura, Vasquez, Giorgio, Targa, Simone, Occhionorelli, Savino, Andreotti, Dario, Pata, Giacomo, Armellini, Andrea, Chiesa, Deborah, Aquilino, Fabrizio, Chetta, Nicola, Picciariello, Arcangelo, Abdelkhalek, Mohamed, Belli, Andrea, De Franciscis, Silvia, Bigaran, Annamaria, Favero, Alessandro, M Basso, Stefano M, Salusso, Paola, Perino, Martina, Mochet, Sylvie, Sasia, Diego, Riente, Francesco, Migliore, Marco, Merlini, David, Basilicò, Silvia, Corbellini, Carlo, Lazzari, Veronica, Macchitella, Yuri, Bonavina, Luigi, Angelieri, Daniele, Coletta, Diego, Falaschi, Federica, Catani, Marco, Reali, Claudia, Malavenda, Mariastella, Del Basso, Celeste, Ribaldi, Sergio, Coletti, Massimo, Natili, Andrea, Depalma, Norma, Iannone, Immacolata, Antoniozzi, Angelo, Rossi, Davide, Gui, Daniele, Perrotta, Gerardo, Ripa, Matteo, Ruben Giardino, Francesco, Foco, Maurizio, Vicario, Erika, Coccolini, Federico, Elisa Nita, Gabriela, Leone, Nicoletta, Bondurri, Andrea, Maffioli, Anna, Simioni, Andrea, De Boni, Davide, Pasquali, Sandro, Goldin, Elena, Vendramin, Elena, Ciccioli, Eleonora, Tedeschi, Umberto, Bortolasi, Luca, Violi, Paola, Campagnaro, Tommaso, Conci, Simone, Lazzari, Giovanni, Iacono, Calogero, Gulielmi, Alfredo, Manfreda, Serena, Rinaldi, Anna, Novella Ringressi, Maria, Brunoni, Beatrice, Salamone, Giuseppe, Mangiapane, Mirko, De Marco, Paolino, La Brocca, Antonella, Tutino, Roberta, Silvestri, Vania, Licari, Leo, Fontana, Tommaso, Falco, Nicolò, Cocorullo, Gianfranco, Shalaby, Mostafa, Sileri, Pierpaolo, Arcudi, Claudio, Bsisu, Isam, Aljboor, Khaled, Abusalem, Lana, Alnusairat, Aseel, Qaissieh, Ahmad, Al-Dakka, Emad, Ababneh, Ali, Halhouli, Oday, Yusufali, Taha, Mohammed, Hussein, Lando, Justu, Parker, Robert, Ndegwa, Wairimu, Jokubauskas, Manta, Gribauskaite, Jolanta, Kuliavas, Justa, Dulskas, Audriu, E Samalavicius, Narimanta, Jasaitis, Kristijona, Parseliunas, Audriu, Nevieraite, Viktorija, Montrimaite, Margarita, Slapelyte, Evelina, Dainius, Edvina, Riauka, Romualda, Dambrauskas, Zilvina, Subocius, Andreju, Venclauskas, Lina, Gulbinas, Antana, Bradulskis, Sauliu, Kasputyte, Simona, Mikuckyte, Deimante, Kiudelis, Mindauga, Jankus, Toma, Petrikenas, Stepona, Pažuskis, Mata, Urniežius, Zigmanta, Vilčinskas, Manta, Jonas Banaitis, Vinca, Gaižauskas, Vytauta, Grisin, Edvard, Mazrimas, Povila, Rackauskas, Roka, Drungilas, Manta, Lagunavicius, Karoli, Lipnickas, Vytauta, Majauskyté, Dovilè, Jotautas, Valdemara, Abaliksta, Toma, Uščinas, Laimona, Simutis, Gintara, Ladukas, Adoma, Danys, Donata, Laugzemys, Erika, Mikalauskas, Sauliu, Zdanyte Sruogiene, Elena, Višinskas, Petra, Žilinskienė, Reda, Dragatas, Deivida, Burmistrovas, Andriu, Tverskis, Zygimanta, Vaicius, Artura, Mazelyte, Ruta, Zadoroznas, Antana, Kaselis, Neriju, Žiubrytė, Greta, Casimir Fleur Prudence Rahantasoa, Finaritra, Hervé Samison, Luc, Rasoaherinomenjanahary, Fanjandrainy, Emmanuella Christina Tolotra, Todisoa, Mukuzunga, Corneliu, Kwatiwani, Chimwemwe, Msiska, Nelson, Yih Chai, Feng, Mohd Desa Asilah, Siti, Zahid Syibrah, Khuzaimah, Xin Chin, Pui, Salleh, Afizah, Zulaika Riswan, Nur, Camilla Roslani, April, Chong, Hoong-Yin, Abdul Aziz, Nora, Poh, Keat-Seong, Chai, Chu-Ann, Kumar, Sandip, Mohammed Taher, Mustafa, Ritza Kosai, Nik, Nita Abdul Aziz, Dayang, Rajan, Reynu, Julaihi, Rokayah, Lacthman Jethwani, Durvesh, Taqiyuddin Yahaya, Muhammad, Azim Nik Abdullah, Nik, Wndy Mathew, Susan, Jun Chung, Kuet, Kumar Nirumal, Milaksh, Goh, R, Tze, Ern, Abdul Wahhab Eusoffee Wan Ali, Syed, Yee Gan, Yiing, Ron Swire Ting, Jesse, Y Sii, Samuel S, Leong Koay, Kean, Koon Tan, Yi, Ee Zhiun Cheah, Alvin, Yee Wong, Chui, Nur'Azmah Tuan Mat, Tuan, Yern Nee Chow, Crystal, L Har, Prisca A, Der, Yishan, Henry, Fitjerald, Low, Xinwei, Theng Neo, Ya, Ee Heng, Hian, Ning Kong, Shu, Gan, Cheewei, Ting Mok, Yi, Wen Tan, Yee, Palayan, Kandasami, Deva Tata, Mahadevan, Jeng Cheong Kuhaendran Gunaseelan, Yih, Nurul 'Ain Wan Mohd Nasir, Wan, Yoganathan, Pigeneswaren, Xian Lee, Eu, Er Saw, Jian, Jing Yeang, Li, Ying Koh, Pei, Yee Lim, Shyang, Yi Teo, Shuang, Grech, Nicole, Magri, Daniela, Cassar, Kristina, Mizzi, Christine, Falzon, Malcolm, Shaikh, Nihaal, Scicluna, Ruth, Zammit, Stefan, Mizzi, Sean, Doris Brincat, Svetlana, Tembo, Thelma, Thanh Hien Le, Vu, Grima, Tara, Sammut, Keith, Carabott, Kurt, Zarb, Ciskje, Navarro, Andre, Dimech, Thea, Marie Camilleri, Georgette, Bertuello, Isaac, Dalli, Jeffrey, Bonavia, Karl, Corro-Diaz, Samantha, Manriquez-Reyes, Marisol, Abdelhamid, Amina, Hrora, Abdelmalek, Benammi, Sarah, Bachri, Houda, Abbouch, Meryem, Boukhal, Khaoula, Mammar Bennai, Redouane, Belkouchi, Abdelkader, Sobhi Jabal, Mohamed, Benyaiche, Chaymae, Vermaas, Maarten, Duinhouwer, Lucia, Pastora, Javier, Wood, Greta, Soledad Merlo, Maria, Ajao, Akinlabi, Ayandipo, Omobolaji, Lawal, Taiwo, Abdurrazzaaq, Abdussemiu, Alada, Muslimat, Nasir, Abdulrasheed, Adeniran, Jame, Habeeb, Olufemi, Popoola, Ademola, Adeyeye, Ademola, Adebanjo, Ademola, Adesanya, Opeoluwa, Adeniyi, Adewale, Mendel, Henry, Bello, Bashir, Muktar, Umar, Osinowo, Adedapo, Olagboyega Olajide, Thoma, Oshati, Oyindamola, Ihediwa, George, Adenekan, Babajide, Nwinee, Victor, Alakaloko, Felix, Elebute, Olumide, Lawal, Abdulrazzaq, Bode, Chri, Olugbemi, Mojolaoluwa, Adesina, Alaba, Faturoti, Olubukola, Odutola, Oluwatomi, Adebola, Oluwaseyi, Onuoha, Clement, Taiwo, Ogechukwu, Williams, Omolara, Balogun, Fatai, Ajai, Olalekan, Oludara, Mobolaji, Njokanma, Iloba, Osuoji, Roland, Kache, Stephen, Ajah, Jonathan, Makama, Jerry, Adamu, Ahmed, Baba, Suleiman, Aliyu, Mohammad, Aliyu, Shamsudeen, Ukwenya, Yahaya, Aliyu, Halima, Sholadoye, Tunde, Daniyan, Muhammad, Ogunsua, Oluseyi, Anyanwu, Lofty-John, Sheshe, Abdurrahaman, Mohammad Samson Olori, Aminu, Mshelbwala, Philip, Odeyemi, Babatunde, Samson, Garba, Kehinde Timothy, Oyediran, Ali Samuel, Sani, Ajiboye, Anthony, Amole, Isaac, Abiola, Olajide, Olaolorun, Akin, Veen, Torhild, Kanani, Arezo, Styles, Kristian, Herikstad, Ragnar, Wiik Larsen, Johanne, Arne Søreide, Jon, Jensen, Elisabeth, Gran, Mad, Kjus Aahlin, Eirik, Gaarder, Tina, Wiel Monrad-Hansen, Peter, Aksel Næss, Pål, Lauzikas, Giedriu, Wiborg, Joachim, Holte, Silje, Magne Augestad, Knut, Singh Banipal, Gurpreet, Monteleone, Michela, Tetens Moe, Thoma, Kurt Schultz, Johanne, Taher, Al-Taher, Hamdan, Ayah, Salman, Ayman, Saadeh, Rana, Musleh, Aseel, Jaradat, Dana, Abushamleh, Soha, Hanoun, Sakhaa, Abu Qumbos, Amjad, Hamarshi, Aseel, And Taher, Ayman, Qawasmi, Israa, Qurie, Khalid, Altarayra, Marwa, Ghannam, Mohammad, Shaheen, Alaa, Herebat, Azher, Abdelhaq, Aram, Shalabi, Ahmad, Abu-Toyour, Maram, Asi, Fatema, Shamasneh, Ala, Atiyeh, Anwar, Mustafa, Mousa, Zaa'Treh, Rula, Dabboor, Majd, Alaloul, Ena, Baraka, Heba, Meqbil, Jehad, Al-Buhaisi, Alaa, Elshami, Mohamedraed, Afana, Samah, Jaber, Sahar, Alyacoubi, Said, Abuowda Tasneem Idress, Yousef, Abuqwaider, Eman, Al-Saqqa, Sara, Bowabsak, Alaa, El Jamassi, Alaa, Hasanain, Doaa, Al-Farram, Hadeel, Salah, Maram, Firwana, Aya, Hamdan, Marwa, Awad, Israa, Ashour, Ahmad, Elian Al Barrawi, Fayez, Al-Khatib, Ahmed, Al-Faqawi, Maha, Fares, Mohamed, Elmashala, Amjad, Adawi, Mohammad, Adawi, Ihdaa, Khreishi, Reem, Khreishi, Rose, Ghaben, Ahed, Nadeem, Najwa, Saqlain, Muhammad, Abbasy, Jibran, Rehman Alvi, Abdul, Shahzad, Noman, Faisal Bhopal, Kamran, Iftikhar, Zainab, Talha Butt, Muhammad, Asaat Ul Razi, Syed, Ahmed, Asdaq, Khan Niazi, Ali, Raza, Ibrahim, Baluch, Fatima, Raza, Ahmed, Bani-Sadar, Ahmad, Adil, Muhammad, Raza, Awai, Javaid, Mahnoor, Waqar, Muhammad, Ali Khan, Maryam, Mohsin Arshad, Mohammad, Amjad, Mohammadasim, Miguel Machain Vega, Gustavo, Torres Cardozo, Jorge, O Higgins Roche, Marcelo, Rodolfo Pertersen Servin, Gustavo, Alfredo Segovia Lohse, Helmut, Ines Páez Lopez, Larissa, Augusto Melo Cardozo, Ramón, Espinoza, Fernando, David Pérez Rojas, Angel, Sanchez, Diana, Sanchez Samaniego, Camila, Guevara Torres, Shalon, Canta Calua, Alexander, Razuri, Cesar, Ortiz, Nadia, Rodriguez, Xianelle, Carrasco, Nahilia, Saravia, Fridiz, Shibao Miyasato, Hector, Valcarcel-Saldaña, María, Esthefany Alejos Bermúdez, Ysabel, Carpio, Juan, Ruiz Panez, Walter, Angel Toribio Orbegozo, Pedro, Guzmán Dueñas, Carolina, Turpo Espinoza, Kevin, Maria Sandoval Barrantes, Ana, Armando Chungui Bravo, Jorge, Fuentes-Rivera, Lorena, Fernández, Carmen, Málaga, Bárbara, Ye, Joselyn, Velasquez, Ricardo, Salcedo, Jannin, Lucia Contreras-Vergara, Ana, Genoveva Vergara Mejia, Angelica, Soledad Gonzales Montejo, Maria, Del Carmen Escalante Salas, Marilia, Alcca Ticona, Willy, Vargas, Marvin, Christian Manrique Sila, George, Mas, Robinson, Del Pilar Paucar, Arazzelly, José Román Velásquez, Armando, Robledo-Rabanal, Alina, Alexander Zeta Solis, Ludwing, Turpo Espinoza, Kenny, Luis Hamasaki Hamaguchi, José, Samuel Florez Farfan, Erick, Alvi Madrid Barrientos, Linda, Jaime Herrera Matta, Juan, V Mora, John Jemuel, P Redota, Menold Archee, Francisco Roxas, Manuel, B Maño, Maria Jesusa, Dione Parreno-Sacdalan, Marie, Leanne Almanon, Christel, Walędziak, Maciej, Roszkowski, Rafa, Janik, Micha, Lasek, Anna, Radkowiak, Dorota, Rubinkiewicz, Mateusz, Fernandes, Cristina, Costa-Maia, Jose, Melo, Renato, Muntean, Liviu, Sandu Mironescu, Aurel, Corneliu Vida, Lucian, Popa, Mariuca, Mircea, Hogea, Vartic, Mihaela, Diaconescu, Bogdan, Razvan Bratu, Matei, Negoi, Ionut, Beuran, Mircea, Ciubotaru, Cezar, Uzabumwana, Norbert, Duhoranenayo, Dieudonne, Jovine, Elio, Zanini, Nicola, Landolfo, Giovanni, Aljiffry, Murad, Idris, Faisal, A Alghamdi, Mohammed Saleh, Maghrabi, Ashraf, Altaf, Abdulmalik, Alkaaki, Aroub, Khoja, Ahmad, Nawawi, Abrar, Turkustani, Sondo, Khalifah, Eyad, Albiety, Adel, Sahel, Sarah, Alshareef, Reham, Najjar, Mohammed, Alzahrani, Ahmed, Alghamdi, Ahmed, Alhazmi, Wedyan, Al Saied, Ghiath, Alamoudi, Mohammed, Masood Ria, Muhammed, Hassanain, Mazen, Alhassan, Basmah, Altamimi, Abdullah, Alyahya, Reem, Al Subaie, Norah, Al Bastawis, Fatema, Altamimi, Afnan, Nouh, Thamer, Khan, Roaa, Radojkovic, Milan, Jeremic, Ljiljana, Nestorovic, Milica, Hao Law, Jia, Say Kwang Tan, Keith, Choon Kiat Tan, Ryan, Kin Tan, Joel, Wen Liang Joel, Lau, Wei Chan, Xue, Qi Hui Leong, Faith, Seng Chong, Choon, Koh, Sharon, Yin Lee, Kai, Chung Lee, Kuok, Pluke, Kent, Dedekind, Britta, Nashidengo, Puyearashid, Ian Hampton, Mark, Joosten, Johanna, Sobnach, Sanju, Roodt, Liana, Sander, Anthony, Pape, Jame, Maistry, Niveshni, Ndwambi, Phumudzo, Kinandu, Kamau, Tun, Myint, Du Toit, Frederick, Ellison, Quinn, Burger, Sule, C Grobler, D, Bongani Khulu, Lawrence, Jennings, Vicky, Leusink, Astrid, Kariem, Nazmie, Gouws, Juan, Chu, Kathryn, Bougard, Heather, Noor, Fazlin, Dell, Angela, Van Straten, Stephanie, Khamajeet, Arvin, Kapenda Tshisola, Serge, Kabongo, Kalangu, Kong, Victor, Moodley, Yoshan, Anderson, Frank, Madiba, Thandinkosi, du Plooy, Flip, Hartford, Leila, Chilton, Gareth, Karjiker, Parveen, Ernest Mabitsela, Matlou, Ruth Ndlovu, Sibongile, Badicel, Maria, Jaich, Robert, Ruiz-Tovar, Jaime, Garcia-Florez, Lui, L Otero-Díez, Jorge, Ramos Pérez, Virginia, Aguado Suárez, Nuria, Minguez García, Javier, Corral Moreno, Sara, Vicenta Collado, Maria, Jiménez Carneros, Virginia, García Septiem, Javier, Gonzalez, Mariana, Picardo, Antonio, Esteban, Enrique, Ferrero, Esther, Espin-Basany, Eloy, Blanco-Colino, Ruth, Andriola, Valeria, Solar García, Lorena, Contreras, Elisa, García Bernardo, Carmen, Pagnozzi, Janet, Sanz, Sandra, Miyar de León, Alberto, Dorismé, Asnel, Rodicio, Joselui, Suarez, Aida, Stuva, Jessica, Diaz Vico, Tamara, Fernandez-Vega, Laura, Soldevila-Verdeguer, Carla, Sena-Ruiz, Fatima, Pujol-Cano, Natalia, Diaz-Jover, Paula, Maria Garcia-Perez, José, Jose Segura-Sampedro, Juan, Pineño-Flores, Cristina, Ambrona-Zafra, David, Craus-Miguel, Andrea, Jimenez-Morillas, Patricia, Mazzella, Angela, B Jayathilake, A, B Thalgaspitiya, S P, S Wijayarathna, L, N Wimalge, P M S, Ayomi Sanni, Hakeem, Okenabirhie, Ogheneochuko, Homeida, Anmar, Younis, Abobaker, Abdelbagi Omer, Omer, Abdulaziz, Mustafa, Mussad, Ali, Adam, Ali, Cengiz, Yucel, Björklund, Ida, Ahlqvist, Sandra, Thorell, Ander, Wogensen, Fredrik, Sokratous, Aresti, Breistrand, Michaela, Thorarinsdottir, Hildur, Sigurdadottir, Johanna, Nikberg, Maziar, Chabok, Abba, Hjertberg, Maria, Elbe, Peter, Saraste, Deborah, Rutkowski, Wiktor, Forlin, Louise, Niska, Karoliina, Sund, Malin, Oswald, Denni, Peros, Georgio, Bluelle, Rafael, Reinisch, Katharina, Frey, Daniel, Palma, Adrian, Aristotle Raptis, Dimitri, Zumbühl, Luciu, Zuber, Marku, Schmid, Roger, Werder, Gabriela, Nocito, Antonio, Gerosa, Alexandra, Mahanty, Silke, Werner Widmer, Luka, Müller, Julia, Gübeli, Alissa, Zuk, Grzegorz, Bilgin Gulcicek, Osman, Vartanoglu, Talar, Kose, Emin, Rustu Karahan, Servet, Can Aydin, Mehmet, Alper Sahbaz, Nuri, Halicioglu, Ilkay, Alis, Halil, Sapci, Ipek, Adıyaman, Can, Murat Pektaş, Ahmet, Bora Cengiz, Turgut, Tansoker, Ilkan, Işler, Vedatcan, Cevik, Muazzez, Mutlu, Deniz, Ozben, Volkan, Baris Ozmen, Berk, Bayram, Sefa, Yolcu, Sinem, Buse Kobal, Berna, Faruk Toto, Ömer, Cem Çakaloğlu, Haluk, Karabulut, Kagan, Mutlu, Vahit, Busra Ozkan, Bahar, Celik, Saban, Semiz, Anil, Bodur, Selim, Gül, Enisburak, Murutoglu, Busra, Yildirim, Reyyan, Emre Baki, Bahadir, Arslan, Ekin, Ulusahin, Mehmet, Guner, Ali, Walker, Nathan, Shrimanker, Nikhita, Cole, Simon, Breslin, Ryan, Srinivasan, Ravi, Elshaer, Mohamed, Hunter, Kristina, Al-Bahrani, Ahmed, Liew, Ignatiu, Grace Mairs, Nora, Rocke, Alistair, Dick, Lachlan, Qureshi, Mobeen, Chowdhury, Debkumar, Wright, Naomi, Skerritt, Clare, Kufeji, Dorothy, Ho, Adrienne, Dissanayake, Tharindra, Tennakoon, Athula, Ali, Wadah, Jane Lim, Shujing, Tan, Charlene, O'Neill, Stephen, Jones, Catrin, Nassif, Dima, Sharma, Abhishek, Warren, Oliver, White, Rebecca, Mehdi, Aia, Post, Nathan, Kalakouti, Eliana, Dashnyam, Enkhbat, Stourton, Frederick, Mykoniatis, Ioanni, Currow, Chelise, Wong, Francisca, Gupta, Ashish, Shatkar, Veeranna, Luck, Joshua, Kadiwar, Suraj, Smedley, Alexander, Wakefield, Rebecca, Herrod, Philip, Blackwell, Jame, Lund, Jonathan, Cohen, Fraser, Bandi, Ashwath, Giuliani, Stefano, Bond-Smith, Gile, Pezas, Theodore, Farhangmehr, Neda, Urbonas, Toma, Perenyei, Miklo, Ireland, Philip, Blencowe, Natalie, Bowling, Kirk, Bunting, David, Longstaff, Lydia, Keogh, Kenneth, Jeon, Hyunjin, Rafaih Iqbal, Muhammad, Khosla, Shivun, Jeffery, Anna, Perera, Jame, Aboelkassem Ibrahem, Ahmad, Alhammali, Tariq, Salama, Yahya, Oram, Shaun, Kidd, Thoma, Cullen, Fraser, Owen, Christopher, Wilson, Michael, Chiu, Seehui, Sarafilovi, Hannah, Ploski, Jennifer, Evans, Elizabeth, Abbas, Athar, Kamya, Sylvia, Ishak, Norzawani, Bisset, Carly, Andress, Cedar, Ru Chin, Ye, Patel, Priya, Evans, David, Haslegrave, Aidan, Boggon, Adam, Laurie, Kirsten, Connor, Katie, Mann, Thoma, Mansuri, Anahita, Davies, Rachel, Griffiths, Ewen, Raza Shahbaz, Aized, Eng, Calvin, Din, Farhat, L'Heveder, Ariadne, G Park, Esther H, Ravishankar, Ramanish, Mcintosh, Kirsten, Dar Yau, Jih, Chan, Luke, Mcgarvie, Susan, Tang, Lingshan, Lim, Hui, Yap, Suhhuey, Park, Jay, Herr Ng, Zhan, Mirza, Shahrukh, Lin Ang, Yun, Walls, Luke, Roy, Chloe, Paterson-Brown, Simon, Camilleri-Brennan, Julian, S D'Souza, Michelle, Pronin, Savva, Ewart Henshall, David, Zuling Ter, Eunice, Fouad, Dina, Minocha, Ashish, English, William, Morgan, Catrin, Townsend, Dominic, Maciejec, Laura, Mahdi, Shareef, Akpenyi, Onyinye, Hall, Elisabeth, Caydiid, Hanaan, Rob, Zakaria, Abbott, Tom, D Torrance, Hew, Johnston, Robin, Akil Gani, Mohammed, Gravante, Gianpiero, Rajmohan, Shivanchan, Majid, Kiran, Dindyal, Shiva, Smith, Christopher, Palliyil, Madanmohan, Patel, Sanjay, Nicholson, Luke, Harvey, Neil, Baillie, Katie, Shillito, Sam, Kershaw, Suzanne, Bamford, Rebecca, Orton, Peter, Reunis, Elke, Tyler, Robert, Cheong Soon, Wai, M Jama, Guled, Dhillon, Dharminder, Pate, Khyati, Nanthakumaran, Shayanthan, Heard, Rachel, Yan Chen, Kar, Barmayehvar, Behrad, Datta, Uttaran, K Kamarajah, Sivesh, Karandikar, Sharad, Iftekhar Tani, Sobhana, Monaghan, Eimear, Donnelly, Philippa, Walker, Michael, Parakh, Jehangirshaw, Blacker, Sarah, Kaul, Anil, Paramasivan, Arjun, Farag, Sameh, Nessa, Ashrafun, Awadallah, Salwa, Lim, Jieqi, Chean Khun Ng, Jame, P Kiran, Ravi, Murray, Alice, Etchill, Eric, Dasari, Mohini, Puyana, Juan, Haddad, Nadeem, Zielinski, Martin, Choudhry, Asad, Caliman, Celeste, Beamon, Mieshia, Duane, Therese, Swaroop, Mamta, Myers, Jonathan, Deal, Rebecca, Schadde, Erik, Hemmila, Mark, Napolitano, Lena, To, Kathleen, Makupe, Alex, Musowoya, Joseph, Van Der Naald, Niel, Kumwenda, Dayson, Reece-Smith, Alex, Otten, Kar, Verbeek, Anna, Prins, Marloe, Andres Baquero Suarez, Alibeth, Balmaceda, Ruben, Deane, Chelsea, Dijan, Emilio, Elfiky, Mahmoud, Koskenvuo, Laura, Thollot, Aurore, Limoges, Bernard, Capito, Carmen, Alexandre, Challine, Kotobi, Henri, Leroux, Julien, Pinnagoda, Kalitha, Henric, Nicola, Azzis, Olivier, Rosello, Olivier, Francois, Poddevin, Etienne, Sara, Buisson, Philippe, Hmila, Sophian, Clegg-Lamptey, Joe-Nat, Imoro, Osman, Emmanuel Abem, Owusu, Papageorgiou, Dimitrio, Soulou, Vasiliki, Asturias, Sabrina, Peña, Lenin, B O'Connor, Donal, Realis Luc, Alberto, Alessandro Russo, Alfio, Ruzzenente, Andrea, Taddei, Antonio, Cona, Camilla, Bottini, Corrado, Pascale, Giovanni, Rotunno, Giuseppe, Solaini, Leonardo, Maria Pascale, Marco, Notarnicola, Margherita, Corbellino, Mario, Sacco, Michele, Ubiali, Paolo, Cautiero, Roberto, Bocchetti, Tommaso, Muzio, Elena, Guglielmo, Vania, Morandi, Eugenio, Mao, Patrizio, De Luca, Emilia, Mahmoud Ali, Farah, Žilinskas, Justa, Strupas, Kestuti, Kondrotas, Pauliu, Baltrunas, Roberta, Kutkevicius, Juoza, Ignatavicius, Povila, Ling Tan, Choy, Yng Siaw, Jia, Young Yam, Sir, Wilson, Ling, Rezal Abdul Aziz, Mohamed, Bondin, John, Diaz Zorrilla, Carmina, Majbar, Ana, Sale, Danjuma, Abdullahi, Lawal, Osagie, Olabisi, Faboya, Omolara, Fatuga, Adedeji, Taiwo, Agboola, Nwabuoku, Emeka, Bliksøen, Marte, Ali Khan, Zain, Coronel, Jazmin, Miranda, Cesar, Vasquez, Idelso, M Helguero-Santin, Lui, Rickard, Jennifer, Adedeji, Adesina, Alqahtani, Saleh, Rath, Max, Van Niekerk, Michael, Zacharia Koto, Modise, Matos-Puig, Roel, Israelsson, Leif, Schuetz, Tobia, Arif Yuksek, Mahmut, Mericliler, Meric, Uluşahi, Mehmet, Wolf, Bernhard, Fairfield, Cameron, Liang Yong, Guo, Whitehurst, Katharine, Redgrave, Natalie, K Musyoka, Caroluce, Olivier, Jame, Lee, Kathryn, Cox, Michael, H Farhan-Alanie, Muhamed M, Callan, Rory, Chibuye, Chali, Hassanein Ahmed Ali, Tebian, Rekhis, Syrine, Rommaneh, Muna, Hao Sam, Zi, Hong Chieh Chen, Jacky, Roi, Dylan, Brunelli Pugliesi, Thay, Pardo, Gabriel, Blanco, Ruth, and Grasset Escobar, Eugenio

Subjects
surgical site infection , surgical complications , global surgery , global health , research methodology , outcome assessment, surgical wound, Surgery, telemedicine, postdischarge
Abstract

Objective: This study aimed to determine whether remote wound reviews using telemedicine can be safely upscaled, and if standardised assessment tools are needed. Summary background data: Surgical site infection is the most common complication of surgery worldwide, and frequently occurs after hospital discharge. Evidence to support implementation of telemedicine during postoperative recovery will be an essential component of pandemic recovery. Methods: The primary outcome of this study was surgical site infection reported up to 30-days after surgery (SSI), comparing rates reported using telemedicine (telephone and/or video assessment) to those with in-person review. The first part of this study analysed primary data from an international cohort study of adult patients undergoing abdominal surgery who were discharged from hospital before 30-days after surgery. The second part combined this data with the results of a systematic review to perform a meta-analysis of all available data conducted in accordance with PRIMSA guidelines (PROSPERO:192596). Results: The cohort study included 15,358 patients from 66 countries (8069 high, 4448 middle, 1744 low income). Of these, 6907 (45.0%) were followed up using telemedicine. The SSI rate reported using telemedicine was slightly lower than with in-person follow-up (13.4% vs. 11.1%, P

Published
2023

35. From Market Making to Matchmaking: Does Bank Regulation Harm Market Liquidity?

Author

Gideon Saar, Jian Sun, Ron Yang, and Haoxiang Zhu

Subjects
Economics and Econometrics, Accounting, Finance
Abstract

Postcrisis bank regulations raised market-making costs for bank-affiliated dealers. We show that this can, somewhat surprisingly, improve overall investor welfare and reduce average transaction costs despite the increased cost of immediacy. Bank dealers in OTC markets optimize between two parallel trading mechanisms: market making and matchmaking. Bank regulations that increase market-making costs change the market structure by intensifying competitive pressure from nonbank dealers and incentivizing bank dealers to shift their business activities toward matchmaking. Thus, postcrisis bank regulations have the (unintended) benefit of replacing costly bank balance sheets with a more efficient form of financial intermediation.

Published
2022
Full Text
View/download PDF

36. The effect of SARS-CoV-2 BNT162b2 vaccine on the symptoms of women with endometriosis

Author

Adi Gilan, Sarit Laster-Haim, Amihai Rottenstreich, Shay Porat, Naama Lessans, Tal D. Saar, and Uri P. Dior

Subjects
Obstetrics and Gynecology, General Medicine
Abstract

As the use of the messenger RNA (mRNA) BNT162b2 (Pfizer-BioNTech) Coronavirus disease 2019 vaccine has grown, reports on menstrual changes have arisen. We aimed to examine menstrual bleeding patterns and endometriosis-associated symptoms after receiving the mRNA BNT162b2 SARS-CoV-2 vaccine in women with endometriosis, as compared to the control group.This is a questionnaire-based cross-sectional study including a total of 174 women. The study group included 86 women with a confirmed diagnosis of endometriosis and the control group included 88 women with no diagnosis or suspected diagnosis of endometriosis. Each woman completed a questionnaire on menstrual bleeding patterns and endometriosis-associated symptoms before and after receiving two doses of the BNT162b2 vaccine. Primary outcomes were changes in amount or length of menstrual bleeding, rates of intermenstrual bleeding and worsening in dysmenorrhea in the endometriosis patient group, as compared to the control group. Secondary outcomes included changes in all endometriosis-associated symptoms.In our cohort, women with endometriosis were more likely to experience changes in bleeding patterns (women with endometriosis: 39.5%, control group: 31.0%, p = 0.02), and a significant worsening in endometriosis-associated symptoms with an almost 4.3-fold worsening in dysmenorrhea [95% CI 1.9-9.9, p 0.01] and 5.5-fold odds for any worsening in symptoms in endometriosis patients, as compared to the control group [95% CI 2.7-11.1, p 0.01].In our cohort, endometriosis was shown to be a significant risk factor for worsening of menstrual symptoms, after receiving the SARS-CoV-2 BNT162b2 mRNA vaccine. Further research is needed to confirm these findings.

Published
2022
Full Text
View/download PDF

37. Low-Dose Total Body Irradiation Added to Fludarabine and Busulfan Reduced-Intensity Conditioning Reduces Graft Failure in Patients with Myelofibrosis

Author

Craig W. Freyer, Daria V. Babushok, Noelle V. Frey, Saar I. Gill, Alison W. Loren, Selina M. Luger, Amit Maity, Mary Ellen Martin, John P. Plastaras, David L. Porter, and Elizabeth O. Hexner

Subjects
Adult, Transplantation, Graft vs Host Disease, Cell Biology, Hematology, Primary Myelofibrosis, Humans, Transplantation, Homologous, Molecular Medicine, Immunology and Allergy, Busulfan, Vidarabine, Whole-Body Irradiation, Retrospective Studies
Abstract

Allogeneic hematopoietic cell transplantation (alloHCT) is indicated for patients with intermediate-risk or high-risk myelofibrosis (MF) and remains the sole potential cure. Reduced-intensity conditioning (RIC) is commonly used because of older patient age, comorbidities, and a high incidence of transplantation-related mortality. Patients with MF are at increased risk of graft failure (GF), which is more common with RIC regimens, and is associated with shortened overall survival (OS). Owing to the high rate of GF with conventional fludarabine (Flu) and busulfan (Bu) RIC, we added low-dose total body irradiation (TBI; 200 cGy) for patients with MF. We retrospectively compared alloHCT outcomes in adult patients with MF who received RIC with Flu/Bu/TBI and those who received RIC with Flu/Bu. The primary endpoint was the incidence of GF. Secondary endpoints included time to engraftment, acute and chronic graft-versus-host disease (GVHD), hepatic sinusoidal obstruction syndrome (SOS), nonrelapse mortality, overall response rate, progression-free survival, and OS. Of 33 patients who underwent alloHCT, 8 received Flu/Bu RIC and 25 received Flu/Bu/TBI RIC. GF occurred in 50% of the Flu/Bu recipients (all secondary GF) and in 4% of the Flu/Bu/TBI recipients (1 case of primary GF; relative risk, .08; 95% confidence interval [CI], .01 to .62; P = .0016). GF incidence was similar with related or unrelated donors and in patients who did and did not receive Janus-associated kinase inhibitors prior to alloHCT. Molecular remission and donor chimerism ≥99% were significantly more common with Flu/Bu/TBI. No significant differences in acute GVHD, chronic GVHD, or time to engraftment were observed. SOS occurred in none of the 8 patients who received Flu/Bu and in 6 of the 25 patients who received Flu/Bu/TBI, but this difference did not reach statistical significance. Progression or relapse at 1 year was less common with Flu/Bu/TBI (0% versus 63%; P.001). The median OS was 49 months for Flu/Bu/TBI recipients and 30.8 months for Flu/Bu recipients (hazard ratio, .98; 95% CI, .33 to 2.88; P = .97). Flu/Bu/TBI resulted in a significant reduction in GF and a significant improvement in the frequency of molecular remission and full donor chimerism compared with Flu/Bu. The addition of low-dose TBI to Flu/Bu successfully mitigates against GF in patients with MF without increased rates of complications.

Published
2022
Full Text
View/download PDF

39. Two Centers for the Gifted, One Moon - The Program

Author

Bengio, Efrat, Margaliot, Adva, Saar-Hyams, Ronit, and Benakovic, Ksenija

Subjects
Gifted students, International collaboration, Social Sciences and Humanities, International educational partnership, Effective communication, Sciences Humaines et Sociales, Covid-19 pandemic
Abstract

This article addresses a unique program involving international collaboration between gifted students from Israel and Croatia. The COVID-19 pandemic opened an opportunity for effective synchronous communication that enabled an unmediated connection between the participants. During the program the children researched the moon from various aspects: scientific, emotional-behavioral and artistic, via theater and creative writing. There were 35 gifted students, 20 from Israel and 15 from Croatia. Five teachers of gifted students, an educational counselor, an educational psychologist and the writers of this article participated in the program and provided the students with academic accompaniment in giftedness and creativity.

Published
2022
Full Text
View/download PDF

40. The effect of <scp>BNT</scp> 162b2 <scp>SARS‐C</scp> o <scp>V</scp> ‐2 m <scp>RNA</scp> vaccine on menstrual cycle symptoms in healthy women

Author

Naama Lessans, Amihai Rottenstreich, Shira Stern, Adi Gilan, Tal D. Saar, Shay Porat, and Uri P. Dior

Subjects
Male, COVID-19 Vaccines, Cross-Sectional Studies, Pregnancy, SARS-CoV-2, Humans, COVID-19, Obstetrics and Gynecology, Female, RNA, Messenger, General Medicine, BNT162 Vaccine, Menstrual Cycle
Abstract

To investigate the impact of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mRNA BNT162b2 vaccine on women's menstrual cycle.In this questionnaire-based cross-sectional study, we assessed menstrual pattern and changes in women who completed the SARS-CoV-2 mRNA BNT162b2 vaccine 3 months before and after receiving the vaccine. Included were women aged 18-50 years without known gynecologic comorbidities who regularly monitor their menstruation through electronic calendars. All participants competed a detailed questionnaire on their menstrual symptoms including information on any irregular bleeding. To minimize bias, each woman served as a self-control before and after vaccination. Primary outcome was rate of irregular bleeding following vaccination and secondary outcome was presence of any menstrual change, including irregular bleeding, mood changes, or dysmenorrhea following the vaccine.A total of 219 women met the inclusion critieria. Of them, 51 (23.3%) experienced irregular bleeding following the vaccine. Almost 40% (n = 83) of study participants reported any menstrual change following vaccination. Parity was positively asssociated with irregular bleeding with 26 (50%) of those suffering from irregular bleeding being multiparous compared with only 53 (31.5%) of women with no irregular bleeding (nulliparous 46% vs 60%, multiparous 50% vs 31%, rest 4% vs 8%, P = 0.049). The presence of medical comorbidities was also significantly higher among patients who experienced irregular bleeding (20.0% vs 6.0%, P = 0.003).Our study shows relatively high rates of irregular bleeding and menstrual changes after receiving the SARS-CoV-2 mRNA BNT162b2 vaccine. Further research is needed to confirm our findings and to better characterize the magnitude of change and any possible long-term implications.

Published
2022
Full Text
View/download PDF

41. Orthotic hip brace as an alternative for treatment of femoral fractures in children under the age of 3 years: a retrospective study

Author

Itai, Gross, Saar, Hashavya, Sonia, Rogachev, Naum, Simanovsky, Tareq, Shrabaty, Michael, Zaidman, and Vladimir, Goldman

Subjects
Pediatrics, Perinatology and Child Health, Orthopedics and Sports Medicine
Abstract

Femoral fractures are among the most common reasons for orthopedic-related hospital admissions in children. While spica cast is recommended for most children younger than 5 years, in the last decades, Pavlik harness was proven to be a safe alternative for young children. The objective is to assess the safety, outcomes and complications of a hip abduction brace (HAB) for the treatment of femoral fractures in children under the age of 3 years. This 7-year retrospective study was conducted in a single tertiary hospital. Children aged 6-36 months diagnosed with a femoral fracture, which did not necessitate operative treatment, were included. HAB has been used as the treatment of choice for nondisplaced or minimally displaced fractures of the proximal femur as well as for both displaced and nondisplaced femoral shaft fractures. The database was composed of a total of 102 children under the age of 3 with femoral fractures. Twenty-nine (28.4%) patients were treated with HAB and the others with a spica cast. The average age (±SD) at presentation was 21.5 ± 6.1 months. The length of stay was 0.96 ± 1 day. The complication rate was 6.9%. A satisfactory outcome in terms of fracture alignment and union was reported in 100% of the patients treated with HAB. When compared with patients treated with a spica cast, the HAB group were younger, had less severe injuries, shorter lengths of stay, lower complication rates and no need for surgical intervention. HAB can be considered a safe and comfortable alternative in selected children aged 6-36 months with nondisplaced/mildly displaced proximal and diaphyseal femoral fractures.

Published
2022
Full Text
View/download PDF

43. Real-world effectiveness of CPX-351 vs venetoclax and azacitidine in acute myeloid leukemia

Author

Andrew H. Matthews, Alexander E. Perl, Selina M. Luger, Alison W. Loren, Saar I. Gill, David L. Porter, Daria V. Babushok, Ivan P. Maillard, Martin P. Carroll, Noelle V. Frey, Elizabeth O. Hexner, Mary Ellen Martin, Shannon R. McCurdy, Edward A. Stadtmauer, Vikram R. Paralkar, Ximena Jordan Bruno, Wei-Ting Hwang, David Margolis, and Keith W. Pratz

Subjects
Leukemia, Myeloid, Acute, Sulfonamides, Daunorubicin, Azacitidine, Cytarabine, Quality of Life, Humans, Prospective Studies, Hematology, Bridged Bicyclo Compounds, Heterocyclic, Aged, Retrospective Studies
Abstract

CPX-351 and venetoclax and azacitidine (ven/aza) are both indicated as initial therapy for acute myeloid leukemia (AML) in older adults. In the absence of prospective randomized comparisons of these regimens, we used retrospective observational data to evaluate various outcomes for patients with newly diagnosed AML receiving either CPX-351 (n = 217) or ven/aza (n = 439). This study used both a nationwide electronic health record (EHR)-derived de-identified database and the University of Pennsylvania EHR. Our study includes 217 patients who received CPX-351 and 439 who received ven/aza. Paitents receiving ven/aza were older, more likely to be treated in the community, and more likely to have a diagnosis of de novo acute myeloid leukemia. Other baseline covariates were not statistically significantly different between the groups. Median overall survival (OS) for all patients was 12 months and did not differ based on therapy (13 months for CPX-351 vs 11 months for ven/aza; hazard ratio, 0.88; 95% confidence interval, 0.71-1.08; P = .22). OS was similar across multiple sensitivity analyses. Regarding safety outcomes, early mortality was similar (10% vs 13% at 60 days). However, documented infections were higher with CPX-351 as were rates of febrile neutropenia. Hospital length of stay, including any admission before the next cycle of therapy, was more than twice as long for CPX-351. In this large multicenter real-world dataset, there was no statistically significant difference in OS. Prospective randomized studies with careful attention to side effects, quality of life, and impact on transplant outcomes are needed in these populations.

Published
2022
Full Text
View/download PDF

44. Computing Angel Names in Jewish Magic

Author

SAAR, Ortal-Paz, VAN EIJNATTEN, Joris, Scholger, Walter, Vogeler, Georg, Tasovac, Toma, Baillot, Anne, Raunig, Elisabeth, Scholger, Martina, Steiner, Elisabeth, Centre for Information Modelling, and Helling, Patrick

Subjects
Paper, angels, History, Long Presentation, Angels in Judaism, Judaism, DH, digital history, text mining, Jewish magic, Aramaic, Theology and religious studies, text mining and analysis, Cairo Genizah, Hebrew, Angelology, magic
Abstract

While Jewish angelology has been explored from a variety of perspectives, angels in Jewish magic have received less attention. This paper applies computational methods to explore angelic nomenclature and function in a corpus of Jewish magical texts derived from the Cairo Genizah. Paper presented at theADHO Digital Humanities Conference 2023, in Graz, Austria.

Published
2023
Full Text
View/download PDF

45. Complicated Pocket Infection in Patients Undergoing Lead Extraction: Characteristics and Outcomes

Author

Nof, Anat Milman, Anat Wieder-Finesod, Guy Zahavi, Amit Meitus, Saar Kariv, Yuval Shafir, Roy Beinart, Galia Rahav, and Eyal

Subjects
cardiac implantable electronic device, transvenous lead extraction, infection
Abstract

Cardiac implantable electronic device (CIED) infection can present with pocket or systemic manifestations, both necessitating complete device removal and pathogen-directed antimicrobial therapy. Here, we aim to characterize those presenting with both pocket and systemic infection. A retrospective analysis of CIED extraction procedures included 300 patients divided into isolated pocket (n = 104, 34.7%), complicated pocket (n = 54, 18%), and systemic infection (n = 142, 47.3%) groups. The systemic and complicated pocket groups frequently presented with leukocytosis and fever > 37.8, as opposed to the isolated pocket group. Staphylococcus aureus was the most common pathogen in the systemic and complicated pocket groups (43.7% and 31.5%, respectively), while Coagulase-negative staphylococci (CONS) predominated (31.7%) in the isolated pocket group (10.6%, p < 0.001). No differences were observed in procedural success or complications rates. Kaplan–Meier survival analysis found that at three years of follow-up, the rate of all-cause mortality was significantly higher among patients with systemic infection compared to both pocket groups (p < 0.001), with the curves diverging at thirty days. In this study, we characterize a new entity of complicated pocket infection. Despite the systemic pattern of infection, their prognosis is similar to isolated pocket infection. We suggest that this special category be presented separately in future publications of CIED infections.

Published
2023
Full Text
View/download PDF

46. SCARA5 Is Overexpressed in Prostate Cancer and Linked to Poor Prognosis

Author

Stahl, Fidelis Andrea Flockerzi, Johannes Hohneck, Matthias Saar, Rainer Maria Bohle, and Phillip Rolf

Subjects
SCARA5, prostate cancer, THSD7A
Abstract

Prostate cancer is one of the most common malignancies worldwide, showing a wide range of clinical behaviors. Therefore, several treatment options arise out of the diagnosis “prostate cancer”. For this reason, it is desirable to find novel prognostic and predictive markers. In former studies, we showed that THSD7A expression is associated with unfavorable prognostic parameters in prostate cancer and is linked to a high expression of focal adhesion kinase (FAK). Recently, scavenger receptor class A member 5 (SCARA5) was reported to be the downstream gene of THSD7A in esophageal squamous cell carcinoma. SCARA5 is believed to play an important role in the development and progression of several different tumor types. Most studies describe SCARA5 as a tumor suppressor. There is also evidence that SCARA 5 interacts with FAK. To examine the role of SCARA5 as a potential biomarker in prostate cancer, a total of 461 prostate cancers were analyzed via immunohistochemistry using tissue microarrays. Furthermore, we compared the expression level of SCARA5 with our previously collected data on THSD7A and FAK. High SCARA5 expression was associated with advanced tumor stage (p < 0.001), positive nodal status (p < 0.001) and high Gleason-score (p < 0.001). At least, strongly SCARA5-positive cancers were associated with THSD7A-positivity. There was no significant association between SCARA5 expression level and FAK expression level. To our knowledge, we are the first to investigate the role of SCARA5 in prostate cancer and we demonstrated that SCARA5 might be a potential biomarker in prostate cancer.

Published
2023
Full Text
View/download PDF

47. Report on the Third Regenerative medicine workshop

Author

Pacheco Blanco, Mariana, Horokhovatskyi, Yevhen, Saar, Kristin, and Aldag, Kristin

Subjects
workshop, regenerative medicine, cell therapy, stem cells, EU-funded projects, gene therapy, clinical needs, heart, liver, muscle, bone, preterm
Abstract

This report summarizes the presentations that took place on June 1, 2023 in Prague Czech Republic on the event "Third Regenerative medicine workshop: From Idea to Patient", being the third edition on this event.Structured around keynote, clinical needs, and enabling technologies presentations, the workshop was the perfect opportunity to exchange on future technology solutions, network, and start new collaborations with information about enabling the funding of the research in this field.

Published
2023
Full Text
View/download PDF

48. Serum Biomarkers of a Pro-Neuroinflammatory State May Define the Pre-Operative Risk for Postoperative Delirium in Spine Surgery

Author

Vogelgesang, Johanna Ruhnau, Jonas Müller, Stephan Nowak, Sarah Strack, Denise Sperlich, Anna Pohl, Jasmin Dilz, Angelika Saar, Yannick Veser, Frederik Behr, Sebastian Rehberg, Taras Usichenko, Klaus Hahnenkamp, Johannes Ehler, Agnes Flöel, Henry W. S. Schroeder, Jan-Uwe Müller, Robert Fleischmann, and Antje

Subjects
postoperative delirium, postoperative cognitive dysfunction, spine surgery, sTREM2, Gasdermin D, biomarker
Abstract

Advances in spine surgery enable technically safe interventions in older patients with disabling spine disease, yet postoperative delirium (POD) poses a serious risk for postoperative recovery. This study investigates biomarkers of pro-neuroinflammatory states that may help objectively define the pre-operative risk for POD. This study enrolled patients aged ≥60 scheduled for elective spine surgery under general anesthesia. Biomarkers for a pro-neuroinflammatory state included S100 calcium-binding protein β (S100β), brain-derived neurotrophic factor (BDNF), Gasdermin D, and the soluble ectodomain of the triggering receptor expressed on myeloid cells 2 (sTREM2). Postoperative changes of Interleukin-6 (IL-6), Interleukin-1β (IL-1β), and C-reactive protein (CRP) were assessed as markers of systemic inflammation preoperatively, intraoperatively, and early postoperatively (up to 48 h). Patients with POD (n = 19, 75.7 ± 5.8 years) had higher pre-operative levels of sTREM2 (128.2 ± 69.4 pg/mL vs. 97.2 ± 52.0 pg/mL, p = 0.049) and Gasdermin D (2.9 ± 1.6 pg/mL vs. 2.1 ± 1.4 pg/mL, p = 0.29) than those without POD (n = 25, 75.6 ± 5.1 years). STREM2 was additionally a predictor for POD (OR = 1.01/(pg/mL) [1.00–1.03], p = 0.05), moderated by IL-6 (Wald-χ2 = 4.06, p = 0.04). Patients with POD additionally showed a significant increase in IL-6, IL-1β, and S100β levels on the first postoperative day. This study identified higher levels of sTREM2 and Gasdermin D as potential markers of a pro-neuroinflammatory state that predisposes to the development of POD. Future studies should confirm these results in a larger cohort and determine their potential as an objective biomarker to inform delirium prevention strategies.

Published
2023
Full Text
View/download PDF

50. Mining Angels in Jewish and Coptic Magic Texts

Author

van Eijnatten. Joris and Ortal-Paz Saar

Subjects
angels, angel names, Hebrew, Coptic, digital methods, digital humanities
Abstract

In the Hebrew Bible, New Testament and the Apocrypha the term “angel” appears numerous times, referring to a divine messenger or being. Nonetheless, these corpora only name four such entities: Michael, Gabriel, Raphael and Uriel. From Late Antiquity onwards, however, a massive increment in angelic nomenclature appears in both Judaism and Christianity, primarily in magical and mystical texts. The use, popularity and connections between these angel names remain to be studied in depth. This paper is part of a larger research project that employs digital methods to analyze angelic nomenclature in Jewish magic and the magic of related cultures.

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results