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1. Video Summarization Using Deep Neural Networks: A Survey

Author: Alexandros I. Metsai, Evlampios Apostolidis, Vasileios Mezaris, Eleni Adamantidou, and Ioannis Patras
Subjects: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Summarization datasets, 02 engineering and technology, Unsupervised learning, Machine Learning (cs.LG), Task (project management), Taxonomy (general), Deep neural networks, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Information retrieval, Artificial neural network, business.industry, Video summarization, Deep learning, 020207 software engineering, Pipeline (software), Automatic summarization, Multimedia (cs.MM), Recurrent neural network, Evaluation protocols, 020201 artificial intelligence & image processing, Artificial intelligence, State (computer science), business, Supervised learning, Computer Science - Multimedia
Abstract: Video summarization technologies aim to create a concise and complete synopsis by selecting the most informative parts of the video content. Several approaches have been developed over the last couple of decades and the current state of the art is represented by methods that rely on modern deep neural network architectures. This work focuses on the recent advances in the area and provides a comprehensive survey of the existing deep-learning-based methods for generic video summarization. After presenting the motivation behind the development of technologies for video summarization, we formulate the video summarization task and discuss the main characteristics of a typical deep-learning-based analysis pipeline. Then, we suggest a taxonomy of the existing algorithms and provide a systematic review of the relevant literature that shows the evolution of the deep-learning-based video summarization technologies and leads to suggestions for future developments. We then report on protocols for the objective evaluation of video summarization algorithms and we compare the performance of several deep-learning-based approaches. Based on the outcomes of these comparisons, as well as some documented considerations about the amount of annotated data and the suitability of evaluation protocols, we indicate potential future research directions., Accepted for publication at the Proceedings of the IEEE
Published: 2021
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2. Utilization and tolerance of beta-blockers among patients with AL amyloidosis

Author: Alexandros Briasoulis, Raphael Patras, I Petropoulos, Maria Gavriatopoulou, Meletios-Athanasios Dimopoulos, Kimon Stamatelopoulos, Efstathios Kastritis, Foteini Theodorakakou, and Argyrios Ntalianis
Subjects: Heart Failure, medicine.medical_specialty, Ejection fraction, business.industry, medicine.drug_class, Adrenergic beta-Antagonists, Stroke Volume, Atrial fibrillation, medicine.disease, Gastroenterology, Ventricular Function, Left, Coronary artery disease, Cardiac amyloidosis, Interquartile range, Internal medicine, Heart failure, Internal Medicine, medicine, AL amyloidosis, Humans, Immunoglobulin Light-chain Amyloidosis, business, Beta blocker, Retrospective Studies
Abstract: BACKGROUND The utilization and clinical impact of beta-blockers (BBs) in cardiac amyloidosis (CA) is largely unexplored. METHODS We conducted a retrospective, single-center analysis of indications, timing of initiation, types and doses of BB used, reasons to discontinue BB and association between BB tolerance and outcomes in a cohort of patients with immunoglobulin light chain amyloidosis (AL). RESULTS We reviewed 236 patients with AL CA and identified 53 patients taking BB (22.5%). Most patients presented in New York Heart Association Class (NYHA) II or III (74.5%) and 24% presented in Mayo stage IIIB. The most frequent indications for BB initiation were atrial fibrillation (AF) and coronary artery disease (CAD). In most cases (59%) BB was started before the diagnosis of CA. The median duration of BB treatment was 9 months (interquartile range [IQR] 3-24 months). Among patients receiving BB, 28 tolerated BB during follow-up whereas 25 patients discontinued BB. The main causes of BB discontinuation were hypotension and heart failure (HF) exacerbation. Patients intolerant to BB presented with more advanced NYHA class, worse performance status and lower median left ventricular ejection fraction (LVEF) at baseline. At median follow-up duration of 17.7 months, patients who did not tolerate BB had a poor survival. CONCLUSIONS Although some patients with CA may have indications for treatment with BB, their use is uncommon and those with more advanced disease tolerate BB poorly. Intolerance to BB in patients with cardiac AL is an indicator of poorer outcome.
Published: 2021
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3. DEVELOPMENT OF THE REAL-TIME PCR METHODOLOGY FOR TESTING MYCOTOXIGENIC MICROORGANISMS IN GRAPE MARC

Author: Emilia Behta, Antoanela Patras, Dan Zgardan, Rodica Sturza, Irina Mitina, and Valentin Mitin
Subjects: Real-time polymerase chain reaction, business.industry, Microorganism, food and beverages, Biology, business, Biotechnology
Abstract: Agro-industrial waste management is an important problem of modern society as agriculture and food industry are important sources of waste. Wine production generates a considerable amount of winemaking waste (grape marc). Grape marc can be a source of natural dyes, antioxidants and could have various applications, if it is confirmed that it does not contain technogenic contaminants or unwanted microorganisms, for example, producers of mycotoxins. The paper developed the Real -Time Polymerase Chain Reaction (Real-Time PCR) methodology for testing the presence of potentially mycotoxogenic fungal species capable of producing ochratoxin A (OTA), which could be applied before grape marc processing. Based on the non-ribosomal peptide sequence of OTA, involved in ochratoxin biosynthesis, the primers have been developed for the detection of microorganisms potentially capable of producing ochratoxin A.
Published: 2021
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4. Serum prolactin levels interact with menstrual fluctuations of arterial stiffness

Author: George Kaparos, Panagiota Chatzivasileiou, Demetrios Rizos, Raphael Patras, Kimon Stamatelopoulos, Konstantinos Panoulis, Georgios Georgiopoulos, Areti Augoulea, Stavroula Baka, Irene Lambrinoudaki, Eleni Armeni, Dimitrios Delialis, Stefanos Stergiotis, Georgios Mavraganis, and Stavroula A Paschou
Subjects: medicine.medical_specialty, business.industry, medicine.disease, Prolactin, Serum prolactin, Vascular Stiffness, Text mining, Endocrinology, RC666-701, Internal medicine, Arterial stiffness, Humans, Diseases of the circulatory (Cardiovascular) system, Medicine, Cardiology and Cardiovascular Medicine, business
Published: 2022
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5. Additive contribution of microRNA-34a/b/c to human arterial ageing and atherosclerosis

Author: Rawlings Achangwa, Aikaterini Gatsiou, Raphael Patras, Ariane Fischer, Kimon Stamatelopoulos, Christos Kontogiannis, Marco Sachse, Dimitrios Delialis, Ageliki Laina, Georgios Georgiopoulos, Eleftherios Zormpas, Francesca Bonini, Heiko Hermeking, Konstantinos Stellos, Longchang Jiang, Larissa Pfisterer, Simon Tual-Chalot, Stefanie Dimmeler, Andreas M. Zeiher, and Nikolaos I. Vlachogiannis
Subjects: 0301 basic medicine, Aging, medicine.medical_specialty, 030204 cardiovascular system & hematology, Peripheral blood mononuclear cell, Gastroenterology, 03 medical and health sciences, 0302 clinical medicine, Sirtuin 1, Internal medicine, microRNA, medicine, Humans, Clinical significance, biology, business.industry, Atherosclerosis, Coronary arteries, MicroRNAs, 030104 developmental biology, medicine.anatomical_structure, MicroRNA 34a, Cohort, Leukocytes, Mononuclear, biology.protein, Aortic stiffness, Cardiology and Cardiovascular Medicine, business, Jagged-1 Protein
Abstract: Preclinical data suggest that the ageing-induced miR-34a regulates vascular senescence. Herein we sought to assess whether the miR-34 family members miR-34a, miR-34b and miR-34c are involved in human arterial disease.Expression levels of miR-34a/b/c were quantified by TaqMan assay in peripheral blood mononuclear cells (PBMCs) derived from a consecutive cohort of 221 subjects who underwent cardiovascular risk assessment and thorough vascular examination for aortic stiffness and extent of arterial atherosclerosis.High miR-34a was independently associated with the presence of CAD [OR (95%C.I.): 3.87 (1.56-9.56); p = 0.003] and high miR-34c with the number of diseased arterial beds [OR (95%C.I.): 1.88 (1.034-3.41); p = 0.038], while concurrent high expression of miR-34-a/c or all three miR-34a/b/c was associated with aortic stiffening (miR-34a/c: p = 0.022; miR-34a/b/c: p = 0.041) and with the extent of atherosclerosis [OR (95%C.I.) for number of coronary arteries [miR-34a/c: 3.29 (1.085-9.95); miR-34a/b/c: 6.06 (1.74-21.2)] and number of diseased arterial beds [miR-34a/c: 3.51 (1.45-8.52); miR-34a/b/c: 2.89 (1.05-7.92)] after controlling for possible confounders (p 0.05 for all). Mechanistically, the increased levels of miR-34a or miR-34c were inversely associated with expression of SIRT1 or JAG1, NOTCH2, CTNNB1 and ATF1, respectively. The association of miR-34a/c or miR-34a/b/c with CAD was mainly mediated through SIRT1 and to a lesser extent through JAG1 as revealed by generalized structural equation modeling. Leukocyte-specific ablation of miR-34a/b/c ameliorates atherosclerotic plaque development and increases Sirt1 and Jag1 expression in an atherosclerosis mouse model confirming the human findings.The present study reveals the clinical significance of the additive role of miR-34a/b/c in vascular ageing and atherosclerotic vascular disease.
Published: 2021
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6. CAPITALIZATION OF SECONDARY WINE PRODUCTS - AN OPPORTUNITY FOR THE WINE SECTOR OF REPUBLIC OF MOLDOVA AND ROMANIA

Author: Grigore Musteață, Antoanela Patras, Anatol Balanuță, Marius Mihai Băetu, Razvan Vasile Filimon, and Vladislav Reșitca
Subjects: Wine, Social Sciences, wine yeasts, vinasse, Agricultural economics, wine industry, grape seeds, grape pomaces, Business, Viticulture, Capitalization, grapes, Wine industry, Waste processing
Abstract: One of the economy key sectors of Republic of Moldova and Romania is the wine sector, where a progressive trend has prevailed in recent years. But to increase its efficiency it is necessary to use the raw material in a complex way, producing both famous wines and other necessary products, as well as to comply with the rigors of ecological standards. The issue of wine by-products draws the attention and interest of researchers, regulators, industry and consumers and has urged the European Community to a zero waste economy by 2025. The article deals with the chemical composition of the main parts of grapes which depend on a number of factors, such as variety, climatic conditions of the year, vine and wine making practices, condition of the grapes, their maturity, etc. There have been presented physico-chemical characteristics of the wastes obtained from the grapes processing such as: bunches, grape pomaces, piquette and diffusion juice, seeds, wine yeast, tirighia and vinasse. Thus, by making use of wine wastes, a number of valuable products can be obtained that can be used for different purposes.
Published: 2021
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7. Hypoxia-Inducible Factor 1 Alpha Is Dispensable for Host Defense of Group B Streptococcus Colonization and Infection

Author: Jacqueline M. Kimmey, Vicki Mercado, Victor Nizet, Kathryn A. Patras, Gregory R. Lum, and Diede van Ens
Subjects: Innate immune system, business.industry, bacterial infections and mycoses, Group B, Pathogenesis, Immune system, Cell killing, Immunology, bacteria, Immunology and Allergy, Macrophage, Medicine, Colonization, business, Pathogen, reproductive and urinary physiology
Abstract: Group B Streptococcus (GBS) is a leading cause of neonatal morbidity and mortality, and the primary source of exposure is the maternal vagina. Intrapartum antibiotic prophylaxis for GBS-positive mothers has reduced the incidence of GBS early-onset disease, however, potential long-lasting influence of an antibiotic-altered neonatal microbiota, and the frequent clinical sequelae in survivors of invasive GBS infection, compels alternative treatment options for GBS. Here, we examined the role of transcription factor hypoxia-inducible factor 1 alpha (HIF-1α), widely recognized as a regulator of immune activation during infection, in the host response to GBS. Given the importance of endogenous HIF-1α for innate immune defense, and the potential utility of HIF-1α stabilization in promoting bacterial clearance, we hypothesized that HIF-1α could play an important role in coordinating host responses to GBS in colonization and systemic disease. Counter to our hypothesis, we found that GBS infection did not induce HIF-1α expression in vaginal epithelial cells or murine macrophages, nor did HIF-1α deficiency alter GBS colonization or pathogenesis in vivo. Furthermore, pharmacological enhancement of HIF-1α did not improve control of GBS in pathogenesis and colonization models, while displaying inhibitory effects in vaginal epithelial cytokines and immune cell killing in vitro. Taken together, we conclude that HIF-1α is not a prominent aspect of the host response to GBS colonization or invasive disease, and its pharmacological modulation is unlikely to provide significant benefit against this important neonatal pathogen.
Published: 2021
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8. Cathepsin B expression is associated with arterial stiffening and atherosclerotic vascular disease

Author: Kateryna Sopova, Andreas Koureas, D Delialis, Chrysoula Kritsioti, Kimon Stamatelopoulos, Christos Kontogiannis, Athanasios Koutsoukis, Raphael Patras, A Mareti, Georgios Georgiopoulos, Simon Tual-Chalot, Nikolaos I. Vlachogiannis, Konstantinos Stellos, Aikaterini Gatsiou, and Marco Sachse
Subjects: Male, Pathology, medicine.medical_specialty, Epidemiology, business.industry, Age Factors, Atherosclerosis, Cathepsin B, Stiffening, Vascular Stiffness, Risk Factors, Humans, Medicine, Female, Cardiology and Cardiovascular Medicine, business, ATHEROSCLEROTIC VASCULAR DISEASE, Biomarkers, Ultrasonography
Published: 2020
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9. SIMULASI ANTENA MIKROSTRIP BENTUK SEGITIGA PADA FREKUENSI WLAN

Author: Julie Rante, Trycia A. C. Najoan, and Alexander Patras
Subjects: Physics, Optics, business.industry, business
Abstract: Pada penelitian ini bertujuan untuk membuat desain dan mensimulasikan antena mikrostrip yang bisa digunakan pada jaringan WLAN yaitu 2.4 GHz menggunakan simulasi CSTMicrowave Studio 2017, menghasilkan paremeter-parameter sesuai spesifikasi yang ditentukan dan menganalisis hasil nilai tersebut. Metode yang digunakan yaitu desain dan analisis hasil Desain yang digunakan di one side PCB, bentuk segitiga dan dengan ground di sisi kiri dan kanan patch dan terdapat celah(gap). Ukuran sisi segitiga(a) = 41 mm, lebar feeder(Wfeeder) = 12.4 mm, panjang feeder(Lfeeder) = 31 mm, ground(Gnd)= 20 mm x 25 mm, lebar substrat(Wsubs)= 60 mm, panjang substrat(Lsubs) = 55.8 mm, tinggi(h)= 1.6 mm dan gap gnd ke patch = 3.8 mm diperoleh hasil VSWR= 1.3, return loss= -19.58dB, bandwidth= 1478 MHz, gain= 3.55 dBi, dan impedansi 82 ohm. Penelitian ini akan lebih lengkap dengan adanya perancangan antena mikrostrip secara nyata agar supaya hasil dari simulasi yang dilaksanakan dapat dibandingkan langsung dengan antena yang nyata.
Published: 2020
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10. Retinol-binding protein 4 is associated with arterial stiffness in early postmenopausal women

Author: Meletios P. Nigdelis, Irene Lambrinoudaki, Evmorfia Aivalioti, George Kaparos, Kimon Stamatelopoulos, Asimina Chondrou, Eleni Armeni, Areti Augoulea, Dimitrios G. Goulis, Andreas Alexandrou, Raphael Patras, and Dimitrios Rizos
Subjects: medicine.medical_specialty, Homocysteine, General Mathematics, Population, 030209 endocrinology & metabolism, Pulse Wave Analysis, 03 medical and health sciences, chemistry.chemical_compound, Vascular Stiffness, 0302 clinical medicine, Risk Factors, Internal medicine, Humans, Medicine, Prospective Studies, Child, Prospective cohort study, education, Pulse wave velocity, Retinol binding protein 4, Univariate analysis, education.field_of_study, 030219 obstetrics & reproductive medicine, biology, business.industry, Applied Mathematics, Obstetrics and Gynecology, medicine.disease, Pulse pressure, Postmenopause, Cross-Sectional Studies, chemistry, biology.protein, Cardiology, Arterial stiffness, Female, business, Retinol-Binding Proteins, Plasma
Abstract: Objective Recent evidence in postmenopausal women suggested lack of association between serum levels of retinol-binding protein 4 (RBP4) and subclinical atherosclerosis; however, associations with arterial stiffness in this population remain unexplored. We evaluated the association among RBP4 and cardiovascular risk factors, including homocysteine, a marker involved in retinoic acid synthesis, and indices of arterial stiffness, in a sample of apparently healthy postmenopausal women. Methods This cross-sectional study included 123 healthy postmenopausal women, not on hormone therapy, antihypertensive, or hypolipidemic treatment and with a menopausal age 10 years or less. We performed biochemical/hormonal assessment and sonographic evaluation, including carotid-femoral pulse wave velocity (PWV) and carotid artery stiffness index (SI). Results Univariate analysis showed that RBP4 values correlated with age, low-density lipoprotein-cholesterol and estradiol levels. There was a trend of association of SI and PWV with homocysteine and triglycerides. RBP4 differed according to PWV, using the median PWV value as cut-off (RBP4, PWV ≤8.1 vs >8.1 m/s: 10.09 ± 2.05 vs 10.85 ± 1.91 ng/mL, analysis of covariance P value 0.014 adjusted for age, menopausal age, estradiol, pulse pressure). Linear regression analysis showed that PWV was independently associated with RBP4, age, and pulse pressure, whereas SI was independently associated with RBP4. An increase of one standard deviation in RBP4 levels (2.54 ng/mL) was associated with an increase of 0.577 m/s in PWV. Conclusions RBP4 serum levels are associated with arterial stiffness, in a sample of healthy postmenopausal women. If this association is causative, serum RBP4 levels could serve as a marker of arterial stiffness. Prospective studies are required to investigate the significance of our findings. : Video Summary:http://links.lww.com/MENO/A621.
Published: 2020
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11. A 12-month follow-up of a transdiagnostic indicated prevention of internalizing symptoms in school-aged children: the results from the EMOTION study

Author: Anne Mari Sund, Kristin Dagmar Martinsen, Frode Adolfsen, L-M. P. Rasmussen, Stian Lydersen, M. E. S. Loevaas, Solveig Holen, Trude Reinfjell, S-P. Neumer, and Joshua Patras
Subjects: 050103 clinical psychology, Coping (psychology), medicine.medical_specialty, lcsh:RC435-571, medicine.medical_treatment, media_common.quotation_subject, VDP::Social science: 200::Psychology: 260, Anxiety, law.invention, 03 medical and health sciences, 0302 clinical medicine, Randomized controlled trial, law, lcsh:Psychiatry, medicine, Child and adolescent psychiatry, 0501 psychology and cognitive sciences, Child, media_common, business.industry, Depression, Follow-up, 05 social sciences, lcsh:RJ1-570, lcsh:Pediatrics, 030227 psychiatry, Cognitive behavioral therapy, Psychiatry and Mental health, Mood, Feeling, Pediatrics, Perinatology and Child Health, VDP::Samfunnsvitenskap: 200::Psykologi: 260, Transdiagnostic prevention, medicine.symptom, business, Research Article, Clinical psychology
Abstract: Background Anxious and depressive symptoms in youth are highly prevalent, are often comorbid and have a high rate of relapse. Preventive interventions are promising, but follow-up results are lacking. The transdiagnostic EMOTION program is an indicated preventive cognitive behavioral therapy (CBT) intervention targeting children aged 8–12 years. Methods The present study investigates the 12 months follow-up effects of the EMOTION intervention in a cluster randomized controlled trial (RCT) with 795 children that included both child self-reports and parental reports. Results Mixed model analyses showed a larger decrease of symptoms in the intervention group than in the control group for child self-reported anxious symptoms (The Multidimensional Anxiety Scale for Children (MASC) difference 4.56, CI 1.83 to 7.29, p = .001). Parental reports for both anxious (MASC difference 2.50, CI .26 to 4.74, p = .029) and depressive (The Mood and Feelings Questionnaire-short form (SMFQ) difference 1.55, CI .83 to 2.26, p ≤ .001) symptoms in children also showed a reduction. No statistically significant difference was found for child self-reported depressive symptoms (SMFQ difference .69, CI − .22 to 1.60, p = .139). Conclusion The transdiagnostic EMOTION program has shown the potential for long-term reductions in symptoms of both anxiety and depression in school-aged children. However, results regarding depressive symptoms must be considered preliminary as only parental report indicated effect. Trial registration The regional ethics committee (REC) of Norway approved the study. Registration number: 2013/1909; Project title: Coping Kids: a randomized controlled study of a new indicated preventive intervention for children with symptoms of anxiety and depression. ClinicalTrials.gov Identifier; NCT02340637.
Published: 2020
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12. Psychotropic drug initiation in patients diagnosed with chronic myeloid leukemia: a population‐based study in France

Author: Sandra De Barros, Cécile Conte, Maryse Lapeyre-Mestre, Fabien Despas, Martin Gauthier, Françoise Huguet, Emilie Patras de Campaigno, G. Laurent, and Aurore Palmaro
Subjects: Male, medicine.medical_specialty, medicine.drug_class, Population, Logistic regression, 030226 pharmacology & pharmacy, Tyrosine-kinase inhibitor, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Leukemia, Myelogenous, Chronic, BCR-ABL Positive, hemic and lymphatic diseases, Internal medicine, medicine, Humans, Pharmacology (medical), Practice Patterns, Physicians', education, Protein Kinase Inhibitors, Aged, Pharmacology, Psychotropic Drugs, Univariate analysis, education.field_of_study, business.industry, Middle Aged, Pharmacoepidemiology, medicine.disease, Anxiety Disorders, Psychotropic drug, Population Surveillance, Cohort, Female, France, business, 030217 neurology & neurosurgery, Chronic myelogenous leukemia
Abstract: Psychotropic drugs (PD) are often used close to a cancer diagnosis and may be considered as a way of coping. We aimed to determine the incidence of anxiolytics, hypnotics, antidepressants, and antipsychotics initiation around a diagnosis of chronic myelogenous leukemia (CML). Population-based cohort: Data were extracted from Systeme National des données de Santé (SNDS, the French health insurance database) at the regional level (Midi-Pyrenees area, 2.9 million inhabitants). All newly diagnosed patients treated by a CML tyrosine kinase inhibitor (TKI) between 10/01/2011 and 04/01/2014 were included. Pre-CML (9 months before to 3 months before first TKI prescription-F-TKI) and CML (3 months before to 9 months after F-TKI) phases were defined. The main evaluation criterion was the initiation of PD during CML phase. Determinants associated with this incident PD use were studied through a logistic regression model. We compared pre-CML and CML healthcare consumption. The cohort included 103 patients (mean age of 60.8 years). PD initiation rate was 35.9%, anxiolytics being the most initiated PD (59.5%). Advanced age was associated with PD initiation (adjusted OR = 1.029, 95% CI = 1.001-1.056). The number of consultations during the pre-CML phase and female gender tended to be associated with increased risk of PD initiation in univariate analysis. For PD initiators, healthcare consumption was greater in CML but not in pre-CML phase. PD initiation is a frequent finding around a CML diagnosis. Its risk increases with age. It could be a way to identify a subgroup with higher healthcare consumption.
Published: 2020
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13. Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets With Multi-Stream Inputs

Author: Paul Patras, Rui Li, Chaoyun Zhang, Kim Woo Jin, and Daesub Yoon
Subjects: FOS: Computer and information sciences, General Computer Science, Computer science, Computer Vision and Pattern Recognition (cs.CV), Feature extraction, Computer Science - Computer Vision and Pattern Recognition, Inference, 02 engineering and technology, Machine learning, computer.software_genre, Convolutional neural network, Robustness (computer science), 0502 economics and business, convolutional neural networks, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, 050210 logistics & transportation, Modality (human–computer interaction), Artificial neural network, business.industry, Deep learning, 05 social sciences, General Engineering, deep learning, Driver behavior recognition, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, computer, lcsh:TK1-9971
Abstract: Understanding driver activity is vital for in-vehicle systems that aim to reduce the incidence of car accidents rooted in cognitive distraction. Automating real-time behavior recognition while ensuring actions classification with high accuracy is however challenging, given the multitude of circumstances surrounding drivers, the unique traits of individuals, and the computational constraints imposed by in-vehicle embedded platforms. Prior work fails to jointly meet these runtime/accuracy requirements and mostly rely on a single sensing modality, which in turn can be a single point of failure. In this paper, we harness the exceptional feature extraction abilities of deep learning and propose a dedicated Interwoven Deep Convolutional Neural Network (InterCNN) architecture to tackle the problem of accurate classification of driver behaviors in real-time. The proposed solution exploits information from multi-stream inputs, i.e., in-vehicle cameras with different fields of view and optical flows computed based on recorded images, and merges through multiple fusion layers abstract features that it extracts. This builds a tight ensembling system, which significantly improves the robustness of the model. In addition, we introduce a temporal voting scheme based on historical inference instances, to enhance the classification accuracy. Experiments conducted with a dataset that we collect in a mock-up car environment demonstrate that the proposed InterCNN with MobileNet convolutional blocks can classify 9 different behaviors with 73.97% accuracy, and 5 'aggregated' behaviors with 81.66% accuracy. We further show that our architecture is highly computationally efficient, as it performs inferences within 15ms, which satisfies the real-time constraints of intelligent cars. Nevertheless, our InterCNN is robust to lossy input, as the classification remains accurate when two input streams are occluded., Comment: 13 pages, 15 figures
Published: 2020
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14. An Experimental Evaluation of MQTT Authentication and Authorization in IoT

Author: Paul Patras, Michael Michaelides, and Cigdem Sengul
Subjects: MQTT, Authentication, Transport Layer Security, Computer science, business.industry, Energy consumption, Internet security, Computer security, computer.software_genre, Server, Central processing unit, business, Internet of Things, computer
Abstract: Security vulnerabilities make the Internet of Things (IoT) systems open to online attacks that threaten both their operation and user privacy. Among the many protocols governing IoT operation, MQTT has seen wide adoption, but comes with rudimentary security support. Specifically, while the MQTT standard strongly recommends that servers (brokers) offer Transport Layer Security (TLS), it is mainly concerned with the message transmission protocol, leaving to implementers the responsibility for providing appropriate security features. However, well-known solutions for Web Security (OAuth2) exist, which may benefit MQTT. This paper presents systematic implementation efforts and practical experimentation to evaluate the feasibility of one such approach, namely the MQTT-TLS profile for the Authentication and Authorization in Constrained Environments (ACE), recently specified by the IETF. Our implementation includes the functionality for (1) the Authorization Server (AS), to handle client registration, authorization policies, and Access Tokens; (2) the MQTT broker, to enforce authentication in both MQTT versions 3.1.1 and 5. Together, these enable ACE-MQTT clients to use (3) OAuth2-based authentication and authorization via Proof of Possession tokens. We make the source-code of our ACE-MQTT implementation publicly available, and evaluate it against plain MQTT systems in realistic settings with different computation constraints. To assess the cost of security, we measure the CPU, memory, network usage, and energy consumption. The results obtained confirm that the ACE requirements match the capabilities of moderately constrained devices, hence providing an affordable mechanism to secure MQTT systems.
Published: 2022
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15. Human milk oligosaccharides reduce murine group B Streptococcus vaginal colonization with minimal impact on the vaginal microbiota

Author: Alison Vrbanac, Samantha Ottinger, Victor Nizet, Kathryn A. Patras, David Moorshead, Jacob Zulk, Marlyd E. Mejia, Priyanka Babu, and Lars Bode
Subjects: Pregnancy, biology, Streptococcus, Transmission (medicine), business.industry, medicine.drug_class, Antibiotics, medicine.disease_cause, biology.organism_classification, Antimicrobial, medicine.disease, Group B, law.invention, Microbiology, Probiotic, Lactobacillus rhamnosus, law, medicine, business
Abstract: Group B Streptococcus (GBS) colonizes the vaginal mucosa of a significant percentage of healthy women and is a leading cause of neonatal bacterial infections. Currently, pregnant women are screened in the last month of pregnancy and GBS-positive women are given antibiotics during parturition to prevent bacterial transmission to the neonate. Recently, human milk oligosaccharides (HMOs) isolated from breastmilk were found to inhibit GBS growth and biofilm formation in vitro, and women that make certain HMOs are less likely to be vaginally colonized with GBS. Using in vitro human vaginal epithelial cells and a murine vaginal colonization model, we tested the impact of HMO treatment on GBS burdens and the composition of the endogenous microbiota by 16S rRNA amplicon sequencing. HMO treatment reduced GBS vaginal burdens in vivo with minimal alterations to the vaginal microbiota. HMOs displayed potent inhibitory activity against GBS in vitro, but HMO pretreatment did not alter adherence of GBS or the probiotic Lactobacillus rhamnosus to human vaginal epithelial cells. Additionally, disruption of a putative GBS glycosyltransferase (Δsan_0913) rendered the bacterium largely resistant to HMO inhibition in vitro and in vivo but did not compromise its adherence, colonization, or biofilm formation in the absence of HMOs. We conclude that HMOs are a promising therapeutic bioactive to limit GBS vaginal colonization with minimal impacts on the vaginal microenvironment.IMPORTANCEDuring pregnancy, GBS ascension into the uterus can cause fetal infection or preterm birth. Additionally, GBS exposure during labor creates a risk of serious disease in the vulnerable newborn and mother postpartum. Current recommended prophylaxis consists of administering broad-spectrum antibiotics to GBS-positive mothers during labor. Although antibiotics have significantly reduced GBS neonatal disease, there are several unintended consequences including altered neonatal gut bacteria and increased risk for other types of infection. Innovative preventions displaying more targeted antimicrobial activity, while leaving the maternal microbiota intact, are thus appealing. Using a mouse model, we found that human milk oligosaccharides (HMOs) reduce GBS burdens without perturbing the vaginal microbiota. We conclude that HMOs are a promising alternative to antibiotics to reduce GBS neonatal disease.
Published: 2021
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16. The rate of progression of atherosclerosis in menopause is associated with levels of circulating amyloid beta 1-40

Author: Anastasia Soureti, Simon Tual-Chalot, Evmorfia Aivalioti, Eleni Armeni, Irene Lambrinoudaki, Areti Augoulea, Nikolaos Tsoltos, Raphael Patras, Dimitrios Delialis, Georgios Georgiopoulos, Kimon Stamatelopoulos, Konstantinos Stellos, and Nikolaos I. Vlachogiannis
Subjects: Menopause, medicine.medical_specialty, Endocrinology, biology, Amyloid beta, business.industry, Internal medicine, medicine, biology.protein, medicine.disease, business
Published: 2021
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17. Peripheral vascular involvement in transthyretin cardiac amyloidosis. A comparative analysis with AL amyloidosis

Author: Foteini Theodorakakou, I Petropoulos, Maria Gavriatopoulou, E. Terpos, D Bampatsias, M.E. Tselegkidi, Raphael Patras, John Kanakakis, Constantinos Pamboucas, E Kastritis, Ignatios Ikonomidis, M.A. Dimopoulos, D Delialis, Ioannis P. Trougakos, and Kimon Stamatelopoulos
Subjects: Transthyretin, Pathology, medicine.medical_specialty, biology, Cardiac amyloidosis, business.industry, biology.protein, AL amyloidosis, Medicine, Cardiology and Cardiovascular Medicine, business, medicine.disease, Peripheral
Abstract: Background The pattern of peripheral vascular involvement in the wild type transthyretin-related cardiac amyloidosis (ATTRwt) and its diagnostic utility in differentiating this infiltrating cardiomyopathy from light chain (AL) cardiac amyloidosis (AL-CA) and heart failure with preserved ejection fraction (HFpEF) of different origin have not been explored. Aims To characterize the pattern of peripheral vascular involvement in ATTRwt and evaluate its value in differentiating ATTRwt from AL-CA and HFpEF. Methods Newly diagnosed patients with ATTRwt (n=42) were consecutively recruited from our amyloidosis center. These patients were matched 1:1 for age and sex to patients with AL-CA (n=32) and subjects without amyloidosis (n=32) and also matched 2:1 to HFpEF patients (n=16). All subjects underwent a series of non-invasive vascular examinations for the assessment of: 1. subclinical carotid atherosclerosis with B-mode ultrasonography, 2. Arterial stiffness with measurement of carotid-femoral pulse wave velocity, 3. Reactive vasodilation with flow-mediated dilation (FMD) and 4. Aortic blood pressures and arterial wave reflections with augmentation index (AI) and return time of reflected wave (Tr). Results ATTRwt patients had lower peripheral (pBP) and aortic blood pressure (aBP) markers compared to non-AL controls (p Conclusion ATTRwt patients present differential characteristics of peripheral vascular function and aortic hemodynamics as compared to AL, HFpEF and healthy controls. The clinical value of these characteristics merit further investigation since differential diagnosis among amyloidosis types is clinically challenging, while it may have prognostic implications. Funding Acknowledgement Type of funding sources: None.
Published: 2021
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18. Remnant cholesterol is an independent determinant of the presence and extent of subclinical carotid atherosclerosis in statin-naive individuals

Author: A M Dimopoulou, Raphael Patras, R Syrigou, A Sianis, Evmorfia Aivalioti, Kimon Stamatelopoulos, Georgios Mavraganis, L Angelidakis, Konstantinos Stellos, I Petropoulos, Sophia Ioannou, D Delialis, John Kanakakis, and George Georgiopoulos
Subjects: Carotid atherosclerosis, medicine.medical_specialty, Statin, business.industry, medicine.drug_class, Cholesterol, chemistry.chemical_compound, chemistry, Internal medicine, Cardiology, Medicine, Cardiology and Cardiovascular Medicine, business, Subclinical infection
Abstract: Background Despite continuous improvements of diagnostic and therapeutic algorithms for cardiovascular disease (CVD), mortality from CVD remains high suggesting unaddressed residual risk. Remnant cholesterol (RC) consists the cholesterol content of triglyceride-rich lipoproteins, which along with LDL cholesterol infiltrate the arterial wall, accumulate and cause atherosclerosis. Increased remnant cholesterol (RC) levels have been previously associated with future adverse cardiac events despite hypolipidemic therapy. However, a mechanistic association of RC levels with human atherosclerosis in vivo has not been proven in a clinical setting. Purpose To evaluate the association of RC levels with the presence and extend of subclinical carotid atherosclerosis. Methods In this retrospective cohort study, 438 subjects from the Athens Vascular Registry without clinically overt CVD or treatment with statin were recruited. Atherosclerotic burden was assessed by B-mode carotid ultrasonography using: 1. Maximal carotid wall thickness [maxWT, the highest intima-media thickness (IMT) or highest atherosclerotic plaque thickness (PLQ) if present derived from all carotid sites], 2. Total thickness (sumWT, sum of maximal wall thickness), 3) high plaque burden (PLQ ≥2) and 4) average carotid IMT (avgIMT). RC was calculated using the formula RC=total cholesterol-LDL-C-HDL-C. Results Mean (SD) age was 54.8±12.4 years old with 41% being males. Subjects with RC>median (=18mg/dl) had higher sumWT (6.12±0.7 vs 5.57±1.7, p=0.002), maxWT (1.61±0.7 vs 1.43±0.7, p=0.008) and avgIMT (0.88±0.16 vs 0.83±0.16, p=0.003) vs RCmedian was associated with higher odds for increased sumWT (highest tertile, OR: 2.15 95% CI 1.26–3.66, p=0.006) and maxWT (OR: 2.15 95% CI: 1.38–3.33, p=0.001), and a higher plaque burden (≥2 plaques, OR: 2.1 95% CI 1.93–3.1, p Conclusion In a statin-naive population without clinically overt CVD, increased RC levels were associated with the presence and extend of subclinical carotid atherosclerosis. These findings provide novel mechanistic insight into mechanisms associated with increased CVD risk in individuals with high RC levels. Funding Acknowledgement Type of funding sources: None.
Published: 2021
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19. Clinical utility of readily available novel markers of carotid atherosclerotic burden for reclassification and discrimination of very high cardiovascular risk

Author: Raphael Patras, John Kanakakis, George Georgiopoulos, Evmorfia Aivalioti, Konstantinos Stellos, A M Dimopoulou, Georgios Mavraganis, L Angelidakis, D Delialis, A Sianis, I Petropoulos, R Syrigou, Kimon Stamatelopoulos, and Sophia Ioannou
Subjects: medicine.medical_specialty, business.industry, medicine, Cardiology and Cardiovascular Medicine, Intensive care medicine, business
Abstract: Background Among high cardiovascular (CV) risk patients, there is emerging need to recognize those who will benefit from new treatments targeting residual risk. Readily available modalities providing reclassification value would be clinically useful in this setting. Preliminary data suggest that carotid ultrasonography using plaque burden but not intima-media thickness (IMT) is associated with very high risk. Objectives We aimed to assess the reclassification ability of two markers of carotid atherosclerosis in high-risk patients, reflecting total atherosclerotic burden and the most severe lesion and to compare them with the routinely used carotid indices IMT and number of carotid plaques. Methods In an ongoing registry of patients who visited a cardiovascular protection clinic for cardiovascular risk assessment, we enrolled 735 consecutively recruited patients (mean age 63.1 years, 68.8% male) classified as high or very-high CV risk according to 2019 European Society of Cardiology /European Atherosclerosis Society Guidelines. Sum of carotid wall thickness (sumWT) and maximal wall thickness (maxWT) using high-resolution ultrasonography at baseline were used to assess the total burden and the most severe carotid lesion, respectively. These markers integrate maximum plaque height or maximum IMT if no plaque is present. All patients were followed for a median of 41 months and the primary end-point consisted of CV mortality, acute myocardial infarction or coronary revascularization. Results After adjustment for traditional CV risk factors, maxWT and sumWT were associated with the primary end-point (hazard ratio [HR]=1.73 (95% confidence interval [CI]:1.39 to 2.17) and 1.19 (95% CI 1.10 to 1.30) respectively). Both markers were superior in terms of reclassification and discrimination to identify very high risk over validated CV risk scores including the Heartscore and the SMART score (net reclassification index [NRI]=0.624, p Conclusions The use of two novel cumulative markers of atherosclerotic burden improves risk stratification and discriminates high from very high CV risk. Given that carotid ultrasonography is a readily available modality, its clinical application for risk refinement of high-risk patients to facilitate treatment decisions merits further investigation. Funding Acknowledgement Type of funding sources: None.
Published: 2021
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20. Critical care admission following elective surgery was not associated with survival benefit

Author: Kahan, Brennan C., Desponia, Koulenti, Kostoula, Arvaniti, Vanessa, Beavis, Douglas, Campbell, Matthew, Chan, Rui, Moreno, Pearse, Rupert M., Scott, Beattie, Pierre-Alain, Clavien, Nicolas, Demartines, Lee, A Fleisher, Mike, Grocott, James, Haddow, Andreas, Hoeft, Peter, Holt, Naomi, Pritchard, Andrew, Rhodes, Duminda, Wijeysundera, Matt, Wilson, Tahania, Ahmed, Kirsty, Everingham, Russell, Hewson, Marta, Januszewska, Rupert, M Pearse, Mandeep-Kaur, Phull, Richard, Halliwell, Mark, Shulman, Paul, Myles, Werner, Schmid, Michael, Hiesmayr, Patrick, Wouters, Stefan de Hert, Suzana, Lobo, Xiangming, Fang, Lars, Rasmussen, Emmanuel, Futier, Matthieu, Biais, Aurélien, Venara, Karem, Slim, Michael, Sander, Despoina, Koulenti, Mathew, Chan, Atul, Kulkarni, Susilo, Chandra, Aida, Tantri, Emad, Geddoa, Muntadhar, Abbas, Giorgio Della Rocca, Datin, Sivasakthi, Marzida, Mansor, Pastor, Luna, Arthur, Bouwman, Wolfgang, Buhre, Tim, Short, Tunde, Osinaike, Ricardo, Matos, Ioana, Grigoras, Mikhail, Kirov, Denis, Protsenko, Bruce, Biccard, Cesar, Aldecoa, Michelle, Chew, Christoph, Hofer, Martin, Hubner, James, Ditai, Tamas, Szakmany, Lee, Fleisher, Marissa, Ferguson, Michael, Macmahon, Ritchie, Cherian, Helen, Currow, Kathirgamanathan, Kanathiban, David, Gillespie, Edward, Pathmanathan, Katherine, Phillips, Jenifer, Reynolds, Joanne, Rowley, Jeanene, Douglas, Ross, Kerridge, Sameer, Garg, Michael, Bennett, Megha, Jain, David, Alcock, Nico, Terblanche, Rochelle, Cotter, Kate, Leslie, Marcelle, Stewart, Nicolette, Zingerle, Antony, Clyde, Oliver, Hambidge, Adam, Rehak, Sharon, Cotterell, Wilson Binh Quan Huynh, Timothy, Mcculloch, Erez, Ben-Menachem, Thomas, Egan, Jennifer, Cope, Paul, Fellinger, Simone, Haselberger, Caroline, Holaubek, Paul, Lichtenegger, Florian, Scherz, Franz, Hoffer, Veronika, Cakova, Andreas, Eichwalder, Norbert, Fischbach, Reinhold, Klug, Elisabeth, Schneider, Martin, Vesely, Reinhart, Wickenhauser, Karl Gernot Grubmueller, Marion, Leitgeb, Friedrich, Lang, Nancy, Toro, Marlene, Bauer, Friedrich, Laengle, Thomas, Mayrhofer, Christian, Buerkle, Karin, Forstner, Reinhard, Germann, Harald, Rinoesl, Elke, Schindler, Ernst, Trampitsch, Gerhard, Fritsch, Christian, Szabo, Jawad, Bidgoli, Hans, Verdoodt, Patrice, Forget, David, Kahn, Fernande, Lois, Mona, Momeni, Caroline, Prégardien, Audrey, Pospiech, Arnaud, Steyaert, Laurent, Veevaete, Dirk De Kegel, Karen De Jongh, Luc, Foubert, Carine, Smitz, Marcel, Vercauteren, Jan, Poelaert, Veerle Van Mossevelde, Jacques, Abeloos, Stefaan, Bouchez, Marc, Coppens, Luc De Baerdemaeker, Isabel, Deblaere, Ann De Bruyne, Stefan De Hert, Kristine, Fonck, Bjorn, Heyse, Tom, Jacobs, Koen, Lapage, Anneliese, Moerman, Martine, Neckebroek, Aliaksandra, Parashchanka, Nathalie, Roels, Nancy Van Den Eynde, Michael, Vandenheuvel, Jurgen Van Limmen, Ann, Vanluchene, Caroline, Vanpeteghem, Piet, Wyffels, Christel, Huygens, Punitha, Vandenbempt, Marc Van de Velde, Dimitri, Dylst, Bruno, Janssen, Evelien, Schreurs, Fábia Berganton Aleixo, Keulle, Candido, Hugo Dias Batista, Mario, Guimarães, Jaqueline, Guizeline, João, Hoffmann, Suzana, M Lobo, Francisco Ricardo Lobo, Vinícius, Nascimento, Katia, Nishiyama, Lucas, Pazetto, Daniela, Souza, Rodrigo Souza Rodrigues, Ana Maria Vilela Dos Santos, Jaquelline, Jardim, Joao, Silva, Paulo do Nascimento Junior, Thalissa Hermínia Baio, Gabriel Isaac Pereira de Castro, Henri Roger Watanabe Oliveira, Cristina Prata Amendola, Gutemberg, Cardoso, Daniela, Ortega, Ana Flavia Brotto, Mirella Cristine De Oliveira, Álvaro, Réa-Neto, Fernando, Dias, Pedro, Azambuja, Marcos Freitas Knibel, Antonio, Martins, William, Almeida, Calim Neder Neto, Maria Angela Tardelli, Eliana, Caser, Marcio, Machado, Crisitiano, Aguzzoli, Sérgio, Baldisserotto, Fernanda Beck Tabajara, Fernanda, Bettega, La Hore Correa Rodrigues Júnior, Julia de Gasperi, Lais, Faina, Marcos Farias Nolasco, Bruna Ferreira da Costa Fischer, Mariana Fosch de Campos Ferreira, Cristina, Hartmann, Marta, Kliemann, Gustavo Luis Hubert Ribeiro, Julia Merladete Fraga, Thiago Motta Netto, Laura Valduga Pozza, Paulo Rafael Wendling, Caroline, Azevedo, Juliana, Garcia, Marcel, Lopes, Bernardo, Maia, Paula, Maselli, Ralph, Melo, Weslley, Mendes, Matheus, Neves, Jacqueline, Ney, Claudio, Piras, Christopher, Applewhaite, Adrienne, Carr, Lorraine, Chow, Kaylene, Duttchen, Julena, Foglia, Michael, Greene, Ashley, Hinther, Kendra, Houston, Thomas Jared McCormick, Jennifer, Mikhayel, Sam, Montasser, Alex, Ragan, Andrew, Suen, Adrianna, Woolsey, Hai Chuan Yu, Duane, Funk, Stephen, Kowalski, Regina, Legaspi, Heather, Mcdonald, Faisal, Siddiqui, Jeremy, Pridham, Bernadette, Rowe, Sonia, Sampson, Barton, Thiessen, Geoff, Zbitnew, Andre, Bernard, Ronald, George, Philip, Jones, Rita, Moor, Naveed, Siddiqui, Alexandra, Wolfer, Diem, Tran, Denyse, Winch, Gary, Dobson, Thomas, Mccormick, Osama, Montasser, Richard, Hall, Leyla, Baghirzada, Si Yuan Dai, Gregory, Hare, Esther, Lee, Uma, Shastri, Albert, Tsui, Anmol, Yagnik, Danielle, Alvares, Stephen, Choi, Heather, Dwyer, Kathrina, Flores, Colin, Mccartney, Priya, Somascanthan, Carroll, Jo, Janneth, Pazmino-Canizares, Noam, Ami, Vincent, Chan, Anahi, Perlas, Ruth, Argue, Katie, Lavis, Kelly, Mayson, Ying, Cao, Hong, Gao, Tingju, Hu, Jie, Lv, Jian, Yang, Yang, Yang, Zhong, Yi, Jing, Zhou, Xiaohua, Zou, Miao, He, Xiaoying, Li, Dihuan, Luo, Haiying, Wang, Tian, Yu, Liyong, Chen, Lijun, Wang, Yunfei, Cai, Zhongming, Cao, Yanling, Li, Jiaxin, Lian, Haiyun, Sun, Sheng, Wang, Zhipeng, Wang, Kenru, Wang, Zhu, Yi, Xindan, Du, Hao, Fan, Yunbin, Fu, Lixia, Huang, Yanming, Huang, Haifang, Hwan, Hong, Luo, Pi-Sheng, Qu, Fan, Tao, Zhen, Wang, Guoxiang, Wang, Shun, Wang, Yan, Zhang, Xiaolin, Zhang, Chao, Chen, Weixing, Wang, Zhengyuan, Liu, Lihua, Fan, Jing, Tang, Yijun, Chen, Yongjie, Chen, Yangyang, Han, Changshun, Huang, Guojin, Liang, Jing, Shen, Jun, Wang, Qiuhong, Yang, Jungang, Zhen, Haidong, Zhou, Junping, Chen, Zhang, Chen, Xiaoyu, Li, Meng, Bo, Haiwang, Ye, Xiaoyan, Zhang, Yanbing, Bi, Jianqiao, Cao, Fengying, Guo, Hong, Lin, Yang, Liu, Meng, Lv, Pengcai, Shi, Xiumei, Song, Chuanyu, Sun, Yongtao, Sun, Yuelan, Wang, Shenhui, Wang, Min, Zhang, Rong, Chen, Jiabao, Hou, Yan, Leng, Qing-Tao, Meng, Qian, Li, Zi-Ying, Shen, Zhong-Yuan, Xia, Rui, Xue, Yuan, Zhang, Zhao, Bo, Xian-Jin, Zhou, Qiang, Chen, Huinan, Guo, Yongqing, Guo, Yuehong, Qi, Zhi, Wang, Jianfeng, Wei, Weiwei, Zhang, Lina, Zheng, Bao, Qi, Yaqiu, Chen, Yijiao, Chen, Yue, Fei, Nianqiang, Hu, Xuming, Hu, Min, Lei, Xiaoqin, Li, Xiaocui, Lv, Fangfang, Miao, Lingling, Ouyang, Qian, Lu, Conyu, Shen, Sun, Yu, Yuting, Wang, Dong, Wang, Chao, Wu, Liyuan, Xu, Jiaqi, Yuan, Lina, Zhang, Huan, Zhang, Yapping, Zhang, Jinning, Zhao, Chong, Zhao, Lei, Zhao, Tianzhao, Zheng, Dachun, Zhou, Haiyan, Zhou, Zhou, Ce, Kaizhi, Lu, Ting, Zhao, Changlin, He, Hong, Chen, Shasha, Chen, Baoli, Cheng, Jie, He, Lin, Jin, Caixia, Li, Hui, Li, Yuanming, Pan, Yugang, Shi, Xiao Hong Wen, Shuijing, Wu, Guohao, Xie, Kai, Zhang, Bing, Zhao, Xianfu, Lu, Feifei, Chen, Qisheng, Liang, Xuewu, Lin, Yunzhi, Ling, Gang, Liu, Jing, Tao, Yang, Lu, Jialong, Zhou, Fumei, Chen, Yunlin, Feng, Benchao, Hou, Jiamei, Lin, Mei, Liu, Foquan, Luo, Xiaoyun, Shi, Yingfen, Xiong, Lin, Xu, Shuangjia, Yang, Qin, Zhang, Huaigen, Zhang, Weihong, Zhao, Weilu, Zhao, Yun, Bai, Linbi, Chen, Sijia, Chen, Qinxue, Dai, Wujun, Geng, Kunyuan, Han, Xin, He, Luping, Huang, Binbin, Ji, Danyun, Jia, Shenhui, Jin, Qianjun, Li, Dongdong, Liang, Shan, Luo, Lulu, Lwang, Yunchang, Mo, Yuanyuan, Pan, Xinyu, Qi, Meizi, Qian, Jinling, Qin, Yelong, Ren, Yiyi, Shi, Junlu, Wang, Junkai, Wang, Leilei, Wang, Junjie, Xie, Yixiu, Yan, Yurui, Yao, Mingxiao, Zhang, Jiashi, Zhao, Xiuxiu, Zhuang, Yanqiu, Ai, Fang, Du, Long, He, Ledan, Huang, Zhisong, Li, Huijuan, Li, Yetong, Li, Liwei, Li, Meng, Su, Yazhuo, Yuan, Enman, Zhang, Jie, Zhang, Shuna, Zhao, Zhenrong, Ji, Ling, Pei, Wang, Li, Chen, Chen, Beibei, Dong, Jing, Li, Ziqiang, Miao, Hongying, Mu, Chao, Qin, Lin, Su, Zhiting, Wen, Keliang, Xie, Yonghao, Yu, Fang, Yuan, Xianwen, Hu, Zhang, Ye, Wangpin, Xiao, Zhipeng, Zhu, Qingqing, Dai, Kaiwen, Fu, Rong, Hu, Xiaolan, Hu, Song, Huang, Yaqi, Li, Yingping, Liang, Shuchun, Yu, Zheng, Guo, Yan, Jing, Tang, Na, Jie, Wu, Dajiang, Yuan, Ruilin, Zhang, Xiaoying, Zhao, Yuhong, Li, Hui-Ping, Bai, Chun-Xiao, Liu, Fei-Fei, Liu, Wei, Ren, Xiu-Li, Wang, Guan-Jie, Xu, Na, Hu, Bo, Li, Yangwen, Ou, Yongzhong, Tang, Shanglong, Yao, Shihai, Zhang, Cui-Cui, Kong, Bei, Liu, Tianlong, Wang, Wei, Xiao, Bo, Lu, Yanfei, Xia, Jiali, Zhou, Fang, Cai, Pushan, Chen, Shuangfei, Hu, Hongfa, Wang, Qiong, Xu, Liu, Hu, Liang, Jing, Bin, Li, Qiang, Liu, Yuejiang, Liu, Xinjian, Lu, Zhen Dan Peng, Xiaodong, Qiu, Quan, Ren, Youliang, Tong, Jin, Wang, Yazhou, Wen, Qiong, Wu, Jiangyan, Xia, Jue, Xie, Xiapei, Xiong, Shixia, Xu, Tianqin, Yang, Hui, Ye, Ning, Yin, Jing, Yuan, Qiuting, Zeng, Baoling, Zhang, Kang, Zheng, Jing, Cang, Shiyu, Chen, Fan, Yu, Shuying, Fu, Xiaodong, Ge, Baolei, Guo, Wenhui, Huang, Linghui, Jiang, Xinmei, Jiang, Liu, Yi, Yan, Pan, Yun, Ren, Shan, Qi, Jiaxing, Wang, Fei, Wang, Chi, Wu, Xiaoguang, Zhang, Ida Cecilie Christiansen, Simon Nørgaard Granum, Bodil Steen Rasmussen, Morten, Daugaard, Rajiv, Gambhir, Guðný Erla Steingrímsdóttir, Peter, Jensen-Gadegaard, Karsten Skovgaard Olsen, Hanna, Siegel, Katrine Zwicky Eskildsen, Mona Ring Gätke, Ida, Wibrandt, Simon Bisgaard Heintzelmann, Kai Henrik Wiborg Lange, Rune Sarauw Lundsgaard, Louise, Amstrup-Hansen, Claus, Hovendal, Michael, Larsen, Mette, Lenstrup, Tina, Kobborg, Jens Rolighed Larsen, Anette Barbre Pedersen, Søren Hübertz Smith, Rebecca Monett Oestervig, Arash, Afshari, Cheme, Andersen, Kim, Ekelund, Erik Lilja Secher, Birgitte, Brandsborg, Helene, Beloeil, Sigismond, Lasocki, Alexandre, Ouattara, Marlene, Sineus, Serge, Molliex, Marie Lim Legouge, Florent, Wallet, Antoine, Tesniere, Christophe, Gaudin, Paul, Lehur, Emma, Forsans, Stéphane de Rudnicki, Valerie Serra Maudet, Didier, Mutter, Ghassan, Sojod, Mehdi, Ouaissi, Jean-Marc, Regimbeau, Jacques, Desbordes, Nicolas, Comptaer, Diae El Manser, Sabine, Ethgen, Gilles, Lebuffe, Patrick, Auer, Christine, Härtl, Maria, Deja, Kirill, Legashov, Susanne, Sonnemann, Carola, Wiegand-Loehnert, Elke, Falk, Marit, Habicher, Stefan, Angermair, Beatrix, Laetsch, Katrin, Schmidt, Christian Von Heymann, Axel, Ramminger, Florian, Jelschen, Svenja, Pabel, Andreas, Weyland, Elke, Czeslick, Jochen, Gille, Michael, Malcharek, Armin, Sablotzki, Katharina, Lueke, Peter, Wetzel, Joerg, Weimann, Franz-Peter, Lenhart, Florian, Reichle, Frederike, Schirmer, Michael, Hüppe, Karl, Klotz, Carla, Nau, Julika, Schön, Thomas, Mencke, Christina, Wasmund, Carla, Bankewitz, Georg, Baumgarten, Andreas, Fleischer, Vera, Guttenthaler, Yvonne, Hack, Katharina, Kirchgaessner, Olja, Männer, Marlen, Schurig-Urbaniak, Rafael, Struck, Rebekka van Zyl, Maria, Wittmann, Ulrich, Goebel, Sarah, Harris, Siegfried, Veit, Evangelia, Andreadaki, Flora, Souri, Ioannis, Katsiadramis, Anthi, Skoufi, Maria, Vasileiou, Eleni, Aimoniotou-Georgiou, Anastasios, Katsourakis, Fotini, Veroniki, Glyceria, Vlachogianni, Konstantina, Petra, Dimitra, Chlorou, Eirini, Oloktsidou, Vasileios, Ourailoglou, Konstantinos, Papapostolou, Georgia, Tsaousi, Panagoula, Daikou, Georgia, Dedemadi, Ioannis, Kalaitzopoulos, Christos, Loumpias, Sotirios, Bristogiannis, Nikolaos, Dafnios, Georgios, Gkiokas, Elissaios, Kontis, Dimitra, Kozompoli, Aspasia, Papailia, Theodosios, Theodosopoulos, Christol, Bizios, Anastasia, Koutsikou, Aleaxandra, Moustaka, Ioannis, Plaitakis, Apostolos, Armaganidis, Theodora, Christodoulopoulou, Mihail, Lignos, Maria, Theodorakopoulou, Andreas, Asimakos, Eleni, Ischaki, Angeliki, Tsagkaraki, Spyros, Zakynthinos, Eleni, Antoniadou, Ioannis, Koutelidakis, Dimitrios, Lathyris, Irene, Pozidou, Nikolaos, Voloudakis, Maria, Dalamagka, Elena, Gkonezou, Christos, Chronis, Dimitra, Manolakaki, Dimitris, Mosxogiannidis, Tatiana, Slepova, Isaia-Sissy, Tsakiridou, Claire Lampiri Lampiri, Anastasia Vachlioti Vachlioti, Christos Panagiotakis Panagiotakis, Dimitrios Sfyras Sfyras, Fotios Tsimpoukas Tsimpoukas, Athanasia, Tsirogianni, Elena, Axioti, Andreas, Filippopoulos, Elli, Kalliafa, George, Kassavetis, Petros, Katralis, Ioannis, Komnos, Georgios, Pilichos, Ifigenia, Ravani, Antonis, Totis, Eymorfia, Apagaki, Andromachi, Efthymiadi, Nikolaos, Kampagiannis, Theoniki, Paraforou, Agoritsa, Tsioka, Georgios, Georgiou, Aristeidis, Vakalos, Aggeliki, Bairaktari, Efthimios, Charitos, George, Markou, Panagiota, Niforopoulou, Nikolaos, Papakonstantinou, Evdoxia, Tsigou, Archontoula, Xifara, Menelaos, Zoulamoglou, Panagiota, Gkioni, Stylianos, Karatzas, Aikaterini, Kyparissi, Efstratios, Mainas, Ioannis, Papapanagiotou, Theonymfi, Papavasilopoulou, George, Fragandreas, Eleni, Georgopoulou, Eleni, Katsika, Kyriakos, Psarras, Eirini, Synekidou, Maria, Verroiotou, Evangelia, Vetsiou, Donika, Zaimi, Athina, Anagnou, Konstantinos, Apostolou, Theodora, Melissopoulou, Theophilos, Rozenberg, Christos, Tsigris, Georgios, Boutsikos, Vasileios, Kalles, Nikolaos, Kotsalas, Christina, Lavdaiou, Fotini, Paikou, Georgia-Laura, Panagou, Anna, Spring, Ioannis, Botis, Maria, Drimala, Georgios, Georgakakis, Ellada, Kiourtzieva, Panagiota, Ntouma, Apostolos, Prionas, Kyriakos, Xouplidis, Eleftheria, Dalampini, Chrysavgi, Giannaki, Christina, Iasonidou, Orestis, Ioannidis, Athina, Lavrentieva, Athena, Lavrentieva, George, Papageorgiou, Maria, Kokkinoy, Maria, Stafylaraki, Stylianos, Gaitanakis, Periclis, Karydakis, Josef, Paltoglou, Panagiotis, Ponireas, Panagiotis, Chaloulis, Athanasios, Provatidis, Anisoglou, Sousana, Varvara Vanessa Gardikou, Maria, Konstantivelli, Olga, Lataniotou, Elisavet, Lisari, Maria, Margaroni, Konstantinos, Stamatiou, Edouardos, Nikolaidis, Ioannis, Pnevmatikos, Eleni, Sertaridou, Alexandros, Andreou, Eleni, Arkalaki, Elias, Athanasakis, Fotini, Chaniotaki, Aikaterini, Chatzimichali, Maria, Christofaki, Despina, Dermitzaki, Klara, Fiorentza, Georgios, Frantzeskos, Elisavet, Geromarkaki, Kalliopi, Kafkalaki, Marina, Kalogridaki, Konstyllia, Karydi, Sofia, Kokkini, Georgios, Kougentakis, Tatiana, Lefaki, Emmanouhl, Lilitsis, Aikaterini, Makatounaki, Polychronis, Malliotakis, Dimosthenis, Michelakis, Maria, Neonaki, Vasileia, Nyktari, Iliana, Palikyra, Eleftherios, Papadakis, Alexandra, Papaioannou, Konstantinos, Sfakianakis, Maria, Sgouraki, Xenia, Souvatzis, Anastasia, Spartinou, Nefeli, Stefanidou, Paulina, Syrogianni, Georgia, Tsagkaraki, Elena, Arnaoutoglou, Christina, Arnaoutoglou, Christina, Bali, Vasilios, Bouris, Rodamanthos, Doumos, Konstantia-Paraskevi, Gkini, Clio, Kapaktsi, Vasilios, Koulouras, Arian, Lena, Dimitra, Lepida, Evangelos, Michos, Dimitrios, Papadopoulos, Minas, Paschopoulos, Vaia Aliki Rompou, Ioanna, Siouti, Stavros, Tsampalas, Ourania, Ververidou, Georgios, Zilis, Alexandra, Charlalampidoy, Gregory, Christodoulidis, Andreas, Flossos, Konstantinos, Stamoulis, Man Shing Caleb Tsang, Man Shing Tsang, Man Ling Lai, Chi Pang Yip, Hey Man Heymans Chan, Bassanio, Law, Wing Sze Li, Hiu Man Chu, Emily Gar Yee Koo, Chi Cheong Joe Lam, Ka Ho Cheng, Tracy, Lam, Susanna, Chu, Wing Yan Lam, Kin Wai Kevin Wong, Dilys, Kwok, Ching Yue Janice Hung, Wai Kit Jacky Chan, Wing, Lamwong, Chun Kwong Eric Chung, Shu Kai Ma, Shuchi, Kaushik, Bhagyesh, Shah, Dhiren, Shah, Sanjay, Shah, Praburaj, Ar, Radhakrishnan, Muthuchellappan, Vandana, Agarwal, Jigeeshu, Divatia, Sanghamitra, Mishra, Ganesh, Nimje, Swati, Pande, Sukhada, Savarkar, Aditi, Shrivastava, Martin, Thomas, Shashikant, Yegnaram, Rahmat, Hidayatullah, Nasman, Puar, Sumara, Niman, Imai, Indra, Zulkarnain, Hamzah, Annika, Yuliana, Ucu Nurhadiat Abidin, Ade Nurkacan Dursin, Andri, Kurnia, Ade, Susanti, Dini, Handayani, Mahaalit Alit Aribawa, Aryabiantara, Arya, Tjokorda Gde Agung Senapathi, Utara Hartawan Utara, Widnyana Made Wid, Semarawima, Wima, Wiryana Made Wir, 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Bhavika, Daya, Leanne, Drummond, Ali, Elabib, Ehab Helmy Abdel Goad, Ismail, E Goga, Riaz, Goga, Harrichandparsad, R, Richard, E Hodgson, Jordaan, J, Nicky, Kalafatis, Christian, Kampik, T Landers, A, Emil, Loots, Rajhmum, Madansein, Anil, Madaree, Thandinkosi, E Madiba, Vukani, T Manzini, Mbali, Mbuyisa, Rajan, Moodley, Mduduzi, Msomi, Innocent, Mukama, Desigan, Naidoo, Rubeshan, Naidoo, Tesuven, K Naidu, Sindiswa, Ntloko, Eneshia, Padayachee, Lucelle, Padayachee, Martijn, Phaff, Bala, Pillay, Desigan, Pillay, Lutchmee, Pillay, Anupa, Ramnarain, Suren, R Ramphal, Paul, Ryan, Ahmed, Saloojee, Motshedisi, Sebitloane, Noluyolo, Sigcu, Jenna, L Taylor, Alexandra, Torborg, Linda, Visser, Philip, Anderson, Alae, Conradie, Mathew de Swardt, Martin de Villiers, Johan, Eikman, Riaan, Liebenberg, Johan, Mouton, Abbey, Paton, Louwrence van der Merwe, Candice, Wilscott-Davids, Wendy Joan Barrett, Marlet, Bester, Johan de Beer, Jacques, Geldenhuys, Hanni, Gouws, Jan-Hendrik, Potgieter, Magdel, 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Shuying, Ge, Xiaodong, Guo, Baolei, Huang, Wenhui, Jiang, Linghui, Jiang, Xinmei, Liu, Yi, Pan, Yan, Ren, Yun, Shan, Qi, Wang, Jiaxing, Wang, Fei, Wu, Chi, Zhang, Xiaoguang, Christiansen, Ida Cecilie, Granum, Simon Nørgaard, Rasmussen, Bodil Steen, Daugaard, Morten, Gambhir, Rajiv, Steingrímsdóttir, Guðný Erla, Jensen-Gadegaard, Peter, Olsen, Karsten Skovgaard, Siegel, Hanna, Zwicky Eskildsen, Katrine, Gätke, Mona Ring, Wibrandt, Ida, Heintzelmann, Simon Bisgaard, Lange, Kai Henrik Wiborg, Lundsgaard, Rune Sarauw, Amstrup-Hansen, Louise, Hovendal, Clau, Larsen, Michael, Lenstrup, Mette, Kobborg, Tina, Larsen, Jens Rolighed, Pedersen, Anette Barbre, Smith, Søren Hübertz, Oestervig, Rebecca Monett, Afshari, Arash, Andersen, Cheme, Ekelund, Kim, Secher, Erik Lilja, Brandsborg, Birgitte, Beloeil, Helene, Lasocki, Sigismond, Ouattara, Alexandre, Sineus, Marlene, Molliex, Serge, Legouge, Marie Lim, Wallet, Florent, Tesniere, Antoine, Gaudin, Christophe, Lehur, Paul, Forsans, Emma, de 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Siegfried, Andreadaki, Evangelia, Souri, Flora, Katsiadramis, Ioanni, Skoufi, Anthi, Vasileiou, Maria, Aimoniotou-Georgiou, Eleni, Katsourakis, Anastasio, Veroniki, Fotini, Vlachogianni, Glyceria, Petra, Konstantina, Chlorou, Dimitra, Oloktsidou, Eirini, Ourailoglou, Vasileio, Papapostolou, Konstantino, Tsaousi, Georgia, Daikou, Panagoula, Dedemadi, Georgia, Kalaitzopoulos, Ioanni, Loumpias, Christo, Bristogiannis, Sotirio, Dafnios, Nikolao, Gkiokas, Georgio, Kontis, Elissaio, Kozompoli, Dimitra, Papailia, Aspasia, Theodosopoulos, Theodosio, Bizios, Christol, Koutsikou, Anastasia, Moustaka, Aleaxandra, Plaitakis, Ioanni, Armaganidis, Apostolo, Christodoulopoulou, Theodora, Lignos, Mihail, Theodorakopoulou, Maria, Asimakos, Andrea, Ischaki, Eleni, Tsagkaraki, Angeliki, Zakynthinos, Spyro, Antoniadou, Eleni, Koutelidakis, Ioanni, Lathyris, Dimitrio, Pozidou, Irene, Voloudakis, Nikolao, Dalamagka, Maria, Gkonezou, Elena, Chronis, Christo, Manolakaki, Dimitra, Mosxogiannidis, Dimitri, Slepova, Tatiana, Tsakiridou, Isaia–sissy, Lampiri, Claire Lampiri, Vachlioti, Anastasia Vachlioti, Panagiotakis, Christos Panagiotaki, Sfyras, Dimitrios Sfyra, Tsimpoukas, Fotios Tsimpouka, Tsirogianni, Athanasia, Axioti, Elena, Filippopoulos, Andrea, Kalliafa, Elli, Kassavetis, George, Katralis, Petro, Komnos, Ioanni, Pilichos, Georgio, Ravani, Ifigenia, Totis, Antoni, Apagaki, Eymorfia, Efthymiadi, Andromachi, Kampagiannis, Nikolao, Paraforou, Theoniki, Tsioka, Agoritsa, Georgiou, Georgio, Vakalos, Aristeidi, Bairaktari, Aggeliki, Charitos, Efthimio, Markou, George, Niforopoulou, Panagiota, Papakonstantinou, Nikolao, Tsigou, Evdoxia, Xifara, Archontoula, Zoulamoglou, Menelao, Gkioni, Panagiota, Karatzas, Styliano, Kyparissi, Aikaterini, Mainas, Efstratio, Papapanagiotou, Ioanni, Papavasilopoulou, Theonymfi, Fragandreas, George, Georgopoulou, Eleni, Katsika, Eleni, Psarras, Kyriako, Synekidou, Eirini, Verroiotou, Maria, Vetsiou, Evangelia, Zaimi, Donika, Anagnou, Athina, Apostolou, Konstantino, Melissopoulou, Theodora, Rozenberg, Theophilo, Tsigris, Christo, Boutsikos, Georgio, Kalles, Vasileio, Kotsalas, Nikolao, Lavdaiou, Christina, Paikou, Fotini, Panagou, Georgia-Laura, Spring, Anna, Botis, Ioanni, Drimala, Maria, Georgakakis, Georgio, Kiourtzieva, Ellada, Ntouma, Panagiota, Prionas, Apostolo, Xouplidis, Kyriako, Dalampini, Eleftheria, Giannaki, Chrysavgi, Iasonidou, Christina, Ioannidis, Oresti, Lavrentieva, Athina, Lavrentieva, Athena, Papageorgiou, George, Kokkinoy, Maria, Stafylaraki, Maria, Gaitanakis, Styliano, Karydakis, Pericli, Paltoglou, Josef, Ponireas, Panagioti, Chaloulis, Panagioti, Provatidis, Athanasio, Sousana, Anisoglou, Gardikou, Varvara Vanessa, Konstantivelli, Maria, Lataniotou, Olga, Lisari, Elisavet, Margaroni, Maria, Stamatiou, Konstantino, Nikolaidis, Edouardo, Pnevmatikos, Ioanni, Sertaridou, Eleni, Andreou, Alexandro, Arkalaki, Eleni, Athanasakis, Elia, Chaniotaki, Fotini, Chatzimichali, Aikaterini, Christofaki, Maria, Dermitzaki, Despina, Fiorentza, Klara, Frantzeskos, Georgio, Geromarkaki, Elisavet, Kafkalaki, Kalliopi, Kalogridaki, Marina, Karydi, Konstyllia, Kokkini, Sofia, Kougentakis, Georgio, Lefaki, Tatiana, Lilitsis, Emmanouhl, Makatounaki, Aikaterini, Malliotakis, Polychroni, Michelakis, Dimostheni, Neonaki, Maria, Nyktari, Vasileia, Palikyra, Iliana, Papadakis, Eleftherio, Papaioannou, Alexandra, Sfakianakis, Konstantino, Sgouraki, Maria, Souvatzis, Xenia, Spartinou, Anastasia, Stefanidou, Nefeli, Syrogianni, Paulina, Tsagkaraki, Georgia, Arnaoutoglou, Elena, Arnaoutoglou, Christina, Bali, Christina, Bouris, Vasilio, Doumos, Rodamantho, Gkini, Konstantia-Paraskevi, Kapaktsi, Clio, Koulouras, Vasilio, Lena, Arian, Lepida, Dimitra, Michos, Evangelo, Papadopoulos, Dimitrio, Paschopoulos, Mina, Rompou, Vaia Aliki, Siouti, Ioanna, Tsampalas, Stavro, Ververidou, Ourania, Zilis, Georgio, Charlalampidoy, Alexandra, Christodoulidis, Gregory, Flossos, Andrea, Stamoulis, Konstantino, Tsang, Man Shing Caleb, Tsang, Man Shing, Lai, Man Ling, Yip, Chi Pang, Chan, Hey Man Heyman, Law, Bassanio, Li, Wing Sze, Chu, Hiu Man, Koo, Emily Gar Yee, Lam, Chi Cheong Joe, Cheng, Ka Ho, Lam, Tracy, Chu, Susanna, Lam, Wing Yan, Wong, Kin Wai Kevin, Kwok, Dily, Hung, Ching Yue Janice, Chan, Wai Kit Jacky, LamWong, Wing, Chung, Chun Kwong Eric, Ma, Shu Kai, Kaushik, Shuchi, Shah, Bhagyesh, Shah, Dhiren, Shah, Sanjay, Ar, Praburaj, Muthuchellappan, Radhakrishnan, Agarwal, Vandana, Divatia, Jigeeshu, Mishra, Sanghamitra, Nimje, Ganesh, Pande, Swati, Savarkar, Sukhada, Shrivastava, Aditi, Thomas, Martin, Yegnaram, Shashikant, Hidayatullah, Rahmat, Puar, Nasman, Niman, Sumara, Indra, Imai, Hamzah, Zulkarnain, Yuliana, Annika, Abidin, Ucu Nurhadiat, Dursin, Ade Nurkacan, Kurnia, Andri, Susanti, Ade, Handayani, Dini, Aribawa, Mahaalit Alit, Arya, Aryabiantara, Senapathi, Tjokorda Gde Agung, Utara, Utara Hartawan, Wid, Widnyana Made, Wima, Semarawima, Wir, Wiryana Made, Jehosua, Brillyan, Kaunang, Jonathan, Lantang, Eka Yudha, Najoan, Rini, Waworuntu, Neil, Awad, Hadi, Fuad, Akram, Geddoa, Burair, Khalaf, Abdel Razzaq, Al hussaini, Sabah, Albaj, Safauldeensalem, Kenber, Maithem, Bettinelli, Alessandra, Spadaro, Savino, Volta, Carlo Alberto, Giancarlo, Luigi, Sottosanti, Vicari, Spagnesi, Lorenzo, Toretti, Ilaria, Alloj, Chiara, Cardellino, Silvano, Carmino, Livio, Costanzo, Eleonora, Fanfani, Lucia Caterina, Novelli, Maria Teresa, Roasio, Agostino, Bellandi, Mattia, Beretta, Luigi, Bignami, Elena, Bocchino, Speranza, Cabrini, Luca, Corti, Daniele, Landoni, Giovanni, Meroni, Roberta, Moizo, Elena, Monti, Giacomo, Pintaudi, Margherita, Plumari, Valentina Paola, Taddeo, Daiana, Testa, Valentina, Winterton, Dario, Zangrillo, Alberto, Cloro, Luigi Maria, Colangelo, Chiara, Colangelo, Antonio, Rotunno, Giuseppe, Angel, Miguel Paludi, Maria, Cloro Paolo, Pata, Antonio, Parrini, Vieri, Gatta, Alessandro, Nastasi, Mauro, Tinti, Carla, Arrigo, Mario, Benevento, Angelo, Bottini, Corrado, Cannavo’, Maurizio, Gastaldi, Christian, Marchesi, Alessandro, Pascazio, Angelantonio, Pata, Francesco, Pozzi, Emilio, Premoli, Alberto, Tessera, Gaetano, Boschi, Luca, D’Andrea, Rocco, Ghignone, Federico, Poggioli, Gilberto, Sibilio, Andrea, Taffurelli, Mario, Ugolini, Giampaolo, Ab Majid, Mohd Azuan, Ab Rahman, Rusnah, Joseph, Jame, Pathan, Furquan, Shah, Mohammad Hafizshah Sybil, Yap, Huey Ling, Cheah, Seleen, Chin, Im Im, Looi, Ji Keon, Tan, Siew Ching, Visvalingam, Sheshendrasurian, Kwok, Fan Yin, Lee, Chew Kiok, Tan, Tse Siang, Wong, Sze Meng, Abdullah, Noor Hairiza, Liew, Chiat Fong, Luxuman, Lovenia, Mohd Zin, Nor Hafizah, Norddin, Muhamad Faiz, Alias, Raja Liza Raja, Wong, Juan Yong, Yong, Johnny, Bin Mustapha, Mohd Tarmimi, Chan, Weng Ken, Dzulkipli, Norizawati, Kuan, Pei Xuan, Lee, Yew Ching, Alias, Anita, Guok, Eng Ching, Jee, Chiun Chen, Ramon, Brian Rhadamantyne, Weng, Cheng Wong, Abd Ghafar, Fara Nur Idayu, Aziz, Faizal Zuhri, Hussain, Nabilah, Lee, Hooi Sean, Sukawi, Ismawaty, Woon, Yuan Liang, Abd Hadi, Husni Zaeem, Ahmad Azam, Ummi Azmira, Alias, Abdul Hafiz, Kesut, Saiful Aizar, Lee, Jun May, Ooi, Dar Vin, Sulaiman, Hetty Ayuni, Tengku Lih, Tengku Alini, Veerakumaran, Jeyaganesh, Rojas, Eder, Resendiz, Gerardo Esteban Alvarez, Zapata, Darcy Danitza Mari, Aguilar López, Julio Cesar Jesú, Flores, Armando Adolfo Alvarez, Amador, Juan Carlosc Bravo, Avila, Erendira Jocelin Dominguez, Aquino, Laura Patricia González, Rodriguez, Ricardo Lopez, Landa, Mariana Torre, Urias, Emma, Hollmann, Marku, Hulst, Abraham, Kirzner, Osne, Preckel, Benedikt, Koopman-van Gemert, Ankie, Buise, Marc, Tolenaar, Noortje, Weber, Eric, de Fretes, Jennifer, Houweling, Peter, Ormskerk, Patricia, Van Bommel, Jasper, Lance, Marcu, Smit-Fun, Valerie, van Zundert, Tom, Baas, Peter, de Boer, Hans Donald, Sprakel, Joost, Elferink-Vonk, Renske, Noordzij, Peter, van Zeggeren, Laura, Brand, Bastiaan, spanjersberg, Rob, ten Bokkel-Andela, Janneke, Numan, Janneke, van Klei, Wilton, van Zaane, Ba, Boer, Christa, van Duivenvoorde, Yoni, Hering, Jens Peter, Zonneveldt, Harry, Campbell, Doug, Hoare, Siobhan, Santa, Sahayam, Allen, Sara Jane, Bell, Rachel, Choi, Hyun-min David, Drake, Matthew, Farrell, Helen, Higgie, Kushlin, Holmes, Kerry, Jenkins, Nicole, Kim, Chang Joon, Kim, Steven, Law, Kiew Chai, McAllister, Davina, Park, Karen, Pedersen, Karen, Pfeifer, Leesa, Salmond, Timothy, Steynor, Martin, Tan, Michael, Waymouth, Ellen, Ab Rahman, Ahmad Sufian, Armstrong, John, Dudson, Rosie, Jenkins, Nia, Nilakant, Jayashree, Richard, Seigne, Virdi, Pardeep, Dixon, Liane, Donohue, Roana, Farrow, Mehreen, Kennedy, Ro, Marissa, Henderson, McKellow, Margie, Nicola, Delany, Pascoe, Rebecca, Roberts, Stephen John, Rowell, George, Sumner, Matthew, Templer, Paul, Chandrasekharan, Shardha, Fulton, Graham, Jammer, Ib, Ali, Marlynn, More, Richard, Wilson, Leona, Chang, Yuan Hsuan, Chang, Julia, Fowler, Carolyn, Panckhurst, Jonathan, Sara, Rachel, Stapelberg, Francoi, Cherrett, Veronica, Ganter, Donna Louise, McCann, Lloyd, Foley, Julia, Gilmour, Fiona, Lumsden, Rachelle, Moores, Mark, Olliff, Sue, Sardareva, Elitza, Tai, Joyce, Wikner, Matthew, Wong, Christopher, Chaddock, Mark, Czepanski, Carolyn, McKendry, Patrick, Polakovic, Daniel, Polakovich, Daniel, Robert, Axe, Tormo Belda, Margarita, Norton, Tracy, Alherz, Fadhel, Barneto, Lisa, Ramirez, Alberto, Sayeed, Ahmed, Smith, Nicola, Bennett, Cambell, McQuoid, Shane, Jansen, Tracy-Lee, Nico, Zin, Scott, John, Freschini, David, Freschini, Angela, Hopkins, Brian, Manson, Lara, Stoltz, Deon, Bates, Alexander, Davis, Simon, Freeman, Victoria, McGaughran, Lynette, Baskar Sharma, Swarna, Burrows, Tom, Byrne, Kelly, English, Duane, Johnson, Robert, Chai Law, Kiew, Manikkam, Brendon, Naidoo, Shaun, Rumball, Margot, Whittle, Nicola, Franks, Romilla, Gibson-Lapsley, Hannah, Salter, Ryan, Walsh, Dean, Cooper, Richard, Perry, Katherine, Obobolo, Amo, Sule, Umar Musa, Ahmad, Abdurrahman, Atiku, Mamuda, Mohammed, Alhassan Datti, Sarki, Adamu Muhammad, Adekola, Oyebola, Akanmu, Olanrewaju, Durodola, Akanmu, Olukoju, Olusegun, Raji, Victor, Olajumoke, Tokunbo, Oyebamiji, Emmanuel, Adenekan, Anthony, Adetoye, Adenekan, Faponle, Folayemi, Olateju, Simeon, Owojuyigbe, Afolabi, Talabi, Ademola, Adenike, Odewabi, Adewale, Badru, Collins, Nwokoro, Ezekiel, Emmanuel, Fatungase, Oluwabunmi Motunrayo, Grace, Anuforo, Sola, Sotannde, Stella, Ogunmuyiwa, Ademola, Adeyinka, Adeolu, Augustine A., Adigun, Tinuolac, Akinwale, Mukaila, Fasina, Oluyemi, Gbolahan, Olalere, Idowu, Olusola, Olonisakin, Rotimi Peter, Osinaike, Babatunde Babasola, Asudo, Felicia, Mshelia, Danladi, Abdur-Rahman, Lukman, Agodirin, Olayide, Bello, Jibril, Bolaji, Benjamin, Oyedepo, Olanrewaju Olubukola, Ezike, Humphrey, Iloabachie, Ikechukwu, Okonkwo, Ikemefuna, Onuora, Elia, Onyeka, Tonia, Ugwu, Innocent, Umeh, Friday, Alagbe-Briggs, Olubusola, Dodiyi-Manuel, Amabra, Echem, Richard, Obasuyi, Bright, Onajin-Obembe, Bisola, Bandeira, Maria Expedito, Martins, Alda, Tomé, Miguel, Martins Costa, Ana Cristina Miranda, Krystopchuk, Andriy, Branco, Teresa, Esteves, Simao, Melo, Marco António, Monte, Júlia, Rua, Fernando, Martins, Isabel, Pinho-Oliveira, Vítor Miguel, Rodrigues, Carla Maria, Cabral, Raquel, Marques, Sofia, Rêgo, Sara, Teixeira Jesus, Joana Sofia, Conceição Marques, Maria, Romao, Cristina, Dias, Sandra, Santos, Ana Margarida, Alves, Maria Joao, Salta, Cristina, Cruz, Salome, Duarte, Célia, Furtado Paiva, António Armando, do Nascimento Cabral, Tiago, Fariae Maia, Dionisio, Correia da Silva, Rui Freitas Mendonça, Langner, Anuschka, Oliveira Resendes, Hernâni, da Conceição Soares, Maria, Abrunhosa, Alexandra, Faria, Filomena, Miranda, Lina, Pereira, Helena, Serra, Sofia, Ionescu, Daniela, Margarit, Simona, Mitre, Calin, Vasian, Horatiu, Manga, Gratiela, Stefan, Andreea, Tomescu, Dana, Filipescu, Daniela, Paunescu, Marilena-Alina, Stefan, Mihai, Stoica, Radu, Gavril, Laura, Pătrăşcanu, Emilia, Ristescu, Irina, Rusu, Daniel, Diaconescu, Ciresica, Iosep, Gabriel Florin, Pulbere, Dorin, Ursu, Irina, Balanescu, Andreea, Grintescu, Ioana, Mirea, Liliana, Rentea, Irina, Vartic, Mihaela, Lupu, Mary-Nicoleta, Stanescu, Dorin, Streanga, Lavinea, Antal, Oana, Hagau, Natalia, Patras, Dumitru, Petrisor, Cristina, Tosa, Flaviu, Tranca, Sebastian, Copotoiu, Sanda Maria, Ungureanu, Liviu Lucian, Harsan, Cristian Remu, Papurica, Mariu, Cernea, Daniela Denisa, Dragoescu, Nicoleta Alice, Aflori, Laura, Vaida, Carmen, Ciobotaru, Oana Roxana, Aignatoaie, Mariana, Carp, Cristina Paula, Cobzaru, Isabelle, Mardare, Oana, Purcarin, Bianca, Tutunaru, Valentin, Ionita, Victor, Arustei, Mirela, Codita, Anisoara, Busuioc, Mihai, Chilinciuc, Ion, Ciobanu, Cristina, Belciu, Ioana, Tincu, Eugen, Blaj, Mihaela, Grosu, Ramona-Mihaela, Sandu, Gigel, Bruma, Dana, Corneci, Dan, Dutu, Madalina, Krepil, Adriana, Copaciu, Elena, Dumitrascu, Clementina Oana, Jemna, Ramona, Mihaescu, Florentina, Petre, Raluca, Tudor, Cristina, Ursache, Elena, Kulikov, Alexander, Lubnin, Andrey, Grigoryev, Evgeny, Pugachev, Stanislav, Tolmasov, Alexander, Hussain, Ayyaz, Ilyina, Yana, Roshchina, Anna, Iurin, Aleksandr, Chazova, Elena, Dunay, Artem, Karelov, Alexey, Khvedelidze, Irina, Voldaeva, Olga, Belskiy, Vladislav, Dzhamullaev, Parvin, Grishkowez, Elena, Kretov, Vladimir, Levin, Valeriy, Molkov, Aleksandr, Puzanov, Sergey, Samoilenko, Aleksandr, Tchekulaev, Aleksandr, Tulupova, Valentina, Utkin, Ivan, Allorto, Nikki Leigh, Bishop, David Gray, Builu, Pierre Monji, Cairns, Carel, Dasrath, Ashish, de Wet, Jacque, den Hoedt, Marielle, Grey, Ben, Hayes, Morgan Philip, Küsel, Belinda Senta, Shangase, Nomcebo, Wise, Robert, Cacala, Sharon, Farina, Zane, Govindasamy, Vishendran, Kruse, Carl-Heinz, Lee, Carolyn, Marais, Leonard, Naidoo, Thinagrin Dhasarthun, Rajah, Chantal, Rodseth, Reitze Nil, Ryan, Lisa, von Rhaden, Richard, Adam, Suwayba, Alphonsus, Christella, Ameer, Yusuf, Anderson, Frank, Basanth, Sujith, Bechan, Sudha, Bhula, Chettan, Biccard, Bruce M., Biyase, Thuli, Buccimazza, Ine, Cardosa, Jorge, Chen, Jame, Daya, Bhavika, Drummond, Leanne, Elabib, Ali, Goad, Ehab Helmy Abdel, Goga, Ismail E., Goga, Riaz, Harrichandparsad, R., Hodgson, Richard E., Jordaan, J., Kalafatis, Nicky, Kampik, Christian, Landers, At, Loots, Emil, Madansein, Rajhmum, Madaree, Anil, Madiba, Thandinkosi E., Manzini, Vukani T., Mbuyisa, Mbali, Moodley, Rajan, Msomi, Mduduzi, Mukama, Innocent, Naidoo, Desigan, Naidoo, Rubeshan, Naidu, Tesuven K., Ntloko, Sindiswa, Padayachee, Eneshia, Padayachee, Lucelle, Phaff, Martijn, Pillay, Bala, Pillay, Desigan, Pillay, Lutchmee, Ramnarain, Anupa, Ramphal, Suren R., Ryan, Paul, Saloojee, Ahmed, Sebitloane, Motshedisi, Sigcu, Noluyolo, Taylor, Jenna L., Torborg, Alexandra, Visser, Linda, Anderson, Philip, Conradie, Alae, de Swardt, Mathew, de Villiers, Martin, Eikman, Johan, Liebenberg, Riaan, Mouton, Johan, Paton, Abbey, van der Merwe, Louwrence, Wilscott-Davids, Candice, Barrett, Wendy Joan, Bester, Marlet, de Beer, Johan, Geldenhuys, Jacque, Gouws, Hanni, Potgieter, Jan-Hendrik, Strydom, Magdel, Wilberforce-Turton, Edwin, Chetty, Rubendraj R., Chirkut, Subash, Cronje, Larissa, de Vasconcellos, Kim, Dube, Nokukhanya Z., Sibusiso Gama, N., Green, Garyth M., Green-Thompson, Randolph, Kinoo, Suman Mewa, Kistnasami, Prenolin, Maharaj, Kapil, Moodley, Manogaran S., Mothae, Sibongile J., Naidoo, Ruvashni, Aslam, M., Noorbhai, F., Rughubar, Vivesh, Reddy, Jenendhiran, Singh, Avesh, Skinner, David L., Smith, Murray J., Singh, Bhagwan, Misra, Ravi, Naidoo, Maheshwar, Ramdharee, Pireshin, Selibea, Yvonne, Sewpersad, Selina, Sham, Shailendra, Wessels, Joseph D., Africander, Cucu, Bejia, Tarek, Blakemore, Stephen P., Botes, Marisa, Bunwarie, Bimalshakth, Hernandez, Carlos B., Jeeraz, Mohammud A., Legutko, Dagmara A., Lopez, Acela G., De Meyer, Jenine N., Muzenda, Tanaka, Naidoo, Noel, Patel, Maryam, Pentela, Rao, Junge, Marina, Mansoor, Naj, Rademan, Lana, Scislowski, Pawel, Seedat, Ismail, 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Sara, Sperber, Jesper, Adolfsson, Anne, Klarin, Bengt, Ögren, Katrin, Barras, Jean-Pierre, Bührer, Thoma, Despotidis, Vasileio, Helmy, Naeder, Holliger, Stephan, Raptis, Dimitri Aristotle, Schmid, Roger, Meyer, Antoine, Jaquet, Yve, Kessler, Ulf, Muradbegovic, Mirza, Nahum, Solange R., Rotunno, Teresa, Schiltz, Bori, Voruz, Françoi, Worreth, Marc, Christoforidis, Dimitri, Popeskou, Sotirios Georgio, Furrer, Marku, Prevost, Gian Andrea, Stocker, Andrea, Lang, Klau, Breitenstein, Stefan, Ganter, Michael T., Geisen, Martin, Soll, Christopher, Korkmaz, Michelle, Lubach, Iri, Schmitz, Michael, Meyer zu Schwabedissen, Moritz, Zingg, Ur, Hillermann, Thoma, Wildi, Stefan, Pinto, Bernardo Bollen, Walder, Bernhard, Hübner, Martin, Mariotti, Giustina, Slankamenac, Ksenija, Namuyuga, Mirioce, Kyomugisha, Edward, Kituuka, Olivia, Wesonga Shikanda, Anne, Kakembo, Nasser, Otim Tom, Charle, Webombesa, Antonina, Bua, Emmanuel, Ssettabi, Eden Michael, Epodoi, Joseph, Kabagenyi, Fiona, Kirya, Fred, Dempsey, Ged, Seasman, Colette, Basit Nawaz Khan, Raja, Kurasz, Claire, Macgregor, Mark, Shawki, Burhan, Hariharan, Vimal, Chau, Simon, Ellis, Kate, Butt, Georgina, Chicken, Dennis-Wayne, Christmas, Natasha, Allen, Samantha, Daniel, Gayatri Daniel, Dempster, Angie, Kemp, Juliette, Matthews, Lewi, Mcglone, Philip, Tambellini, Joanne, Trodd, Dawn, Freitas, Katie, Garg, Atul, Karpate, Shilpaja, Kulkarni, Aditi, O’Hara, Chloe, Troko, Jtroko, Angus, Kirsty, Bradley, Jacqueline, Brennan, Emma, Brooks, Carolyn, Brown, Janette, Brown, Gemma, Finch, Amanda, Gratrix, Karen, Hesketh, Sue, Hill, Gillian, Jeffs, Carol, Morgan, Maureen, Pemberton, Chri, Slawson, Nicola, Spickett, Helen, Swarbrick, Gemma, Thomas, Megan, Van Duyvenvoorde, Greta, Brennan, Andrew, Briscoe, Richard, Cooper, Sarah, Lawton, Tom, Northey, Martin, Senaratne, Rashmi, Stanworth, Helen, Burrows, Lorna, Cain, Helen, Craven, Rachael, Davies, Keith, Jonas, Attila, Pachucki, Marcin, Walkden, Graham, Davies, Helen, Gudaca, Mariethel, Hobrok, Maria, Arawwawala, Dilshan, Fergey, Lauren, Gardiner, Matthew, Gunn, Jacqueline, Johnson, Lyndsay, Lofting, Amanda, Lyle, Amanda, Mc Neela, Fiona, Smolen, Susan, Topliffe, Joanne, Williams, Sarah, Bland, Martin, Kaura, Vika, Lanka, Prasad, Naylor, Chardé, Smith, Neil, Ahmed, Ahmed, Myatt, John, Shenoy, Ravikiran, Soon, Wai Cheong, Tan, Jessica, Karadia, Sunny, Self, Jame, Durant, Emma, Tripathi, Shiva, Bullock, Clare, Campbell, Debbie, Ghosh, Alison, Hughes, Thoma, Zsisku, Lajo, Bengeri, Sheshagiri, Cowton, Amanda, Khalid, Mohammed Shazad, Limb, Jame, McAdam, Colin, Porritt, Mandy, Rafi, M. Amir, Shekar, Priya, Harden, Catherine, Hollands, Heidi, King, Angela, March, Linda, Minto, Gary, Patrick, Abigail, Waugh, Darren, Kumara, Paramesh, Simeson, Karen, Yarwood, Jamie, Browning, Julie, Hatton, Jonathan, Julian, Howe, Mitra, Atideb, Newton, Maria, Pernu, Pawan, Wilson, Alison, Commey, Thelma, Foot, Helen, Glover, Lyn, Gupta, Ajay, Lancaster, Nicola, Levin, Jill, Mackenzie, Felicity, Mestanza, Claire, Nofal, Emma, Pout, Lauren, Varden, Rosanna, Wild, Jonathan, Jones, Stephanie, Moreton, Sarah, Pulletz, Mark, Davies, Charlotte, Martin, Matthew, Thomas, Sian, Burns, Karen, McArthur, Carol, Patel, Panna, Lau, Gary, Rich, Natalie, Davis, Fiona, Lyons, Rachel, Port, Beth, Prout, Rachel, Smith, Christopher, Adelaja, Yemi, Bennett, Victoria, Bidd, Heena, Dumitrescu, Alexandra, Murphy, Jacqui Fox, Keen, Abigail, Mguni, Nhlanhla, Ong, Cheng, Adams, George, Boshier, Pier, Brown, Richard, Butryn, Izabella, Chatterjee, Jayanta, Freethy, Alexander, Lockwood, Geoffrey, Tsakok, Maria, Tsiligiannis, Sophia, Peat, William, Stephenson, Lorraine, Bradburn, Mike, Pick, Sara, Cunha, Pedro, Olagbaiye, Olufemi, Tayeh, Salim, Abernethy, Caroline, Balasubramaniam, Madhu, Bennett, Rachael, Bolton, David, Martinson, Victoria, Naylor, Charde, Bell, Stephanie, Heather, Blaylock, Kushakovsky, Vlad, Alcock, Liam, Alexander, Hazel, Anderson, Colette, Baker, Paul, Brookes, Morag, Cawthorn, Louise, Cirstea, Emanuel, Colling, Kerry, Coulter, Ian, Das, Suparna, Haigh, Kathryn, Hamdan, Alhafidz, Hugill, Keith, Kottam, Lucksy, Lisseter, Emily, Mawdsley, Matthew, McGivern, Julie, Padala, Krishnaveni, Phelps, Victoria, kumar, Vineshykaa Ramesh, Stewart, Kirsten, Towse, Kayley, Tregonning, Julie, Vahedi, Ali, Walker, Alycon, Baines, Duncan, Bilolikar, Anjali, Chande, Shiv, Copley, Edward, Dunk, Nigel, Kulkarni, Raghavendra, Kumar, Pawan, Metodiev, Yavor, Ncomanzi, Dumisani, Raithatha, Bhavesh, Raymode, Parizade, Szafranski, Jan, Twohey, Linda, Watt, Philip, Weatherall, Lucie, Weatherill, J., Whitman, Zoe, Wighton, Elinor, Abayasinghe, Chamika, Chan, Alexander, Darwish, Sharif, Gill, Jame, Glasgow, Emma, Hadfield, Daniel, Harris, Clair, Kochhar, Arun, Mellis, Clare, Pool, Andrew, Riozzi, Paul, Selman, Andrew, Smith, Emma-Jane, Vele, Liana, Gercek, Yuksel, Guy, Kramer, Holden, Dougla, Watson, Nichola, Whysall, Karen, Andreou, Prematie, Hales, Dawn, Thompson, Jonathan, Bowrey, Sarah, McDonald, Shara, Gilmore, Jemma, Hills, Vicky, Kelly, Chan, Kelly, Sinead, Lloyd, Geraint, Abbott, Tom, Gall, Lewi, Torrance, Hew, Vivian, Mark, Berntsen, Emer, Nolan, Tracey, Turner, Angu, Vohra, Akbar, Brown, Andrew, Clark, Richard, Coughlan, Elaine, Daniel, Conway, Patvardhan, Chinmay, Pearson, Rachel, Predeep, Sheba, Saad, Hesham, Shanmugam, Mohanakrishnan, Varley, Simon, Wylie, Katharine, Cooper, Lucy, Makowski, Arystarch, Misztal, Beata, Moldovan, Eliza, Pegg, Claire, Donovan, Andrew, Foot, Jayne, Large, Simon, Claxton, Andrew, Netke, Bhagyashree, Armstrong, Richard, Calderwood, Claire, Kwok, Andy, Mohr, Otto, Oyeniyi, Peter, Patnaik, Lisa, Post, Benjamin, Ali, Sarah, Arshad, Homa, Baker, Gerard, Brenner, Laura, Brincat, Maximilian, Brunswicker, Annemarie, Cox, Hannah, Cozar, Octavian Ionut, Durst, Alexander, Fengas, Lior, Flatt, Jim, Glister, Georgina, Narwani, Vishal, Photi, Evangelo, Rankin, Adeline, Rosbergen, Melissa, Tan, Mark, Beaton, Ceri, Horn, Rachel, Hunt, Jane, Rousseau, Guy, Stancombe, Lucia, Absar, Mohammed, Allsop, Joanne, Drinkwater, Zoe, Hodgkiss, Tracey, Smith, Kirsty, Brown, Jamie, Alexander-Sefre, Farhad, Campey, Lorraine, Dudgeon, Lucy, Hall, Kathryn, Hitchcock, Rachael, James, Lynne, Smith, Kate, Winstone, Ulrika, Ahmad, Norfaizan, Bauchmuller, Kri, Harrison, Jonathan, Jeffery, Holly, Miller, Duncan, Pinder, Angela, Pothuneedi, Sailaja, Rosser, Jonathan, Sanghera, Sumayer, Swift, Diane, Walker, Rachel, Bester, Delia, Cavanagh, Sarah, Cripps, Heather, Daniel, Harvey, Lynch, Julie, Paton, Alison, Pyke, Shirley, Scholefield, John, Whitworth, Helen, Bottrill, Fiona, Ramalingam, Ganesh, Webb, Stephen, Akerman, Nik, Antill, Philip, Bourner, Lynsey, Buckley, Sarah, Castle, Gail, Charles, Rob, Eggleston, Christopher, Foster, Rebecca, Gill, Satwant, Lindley, Kate, Lklouk, Mohamed, Lowery, Tracey, Martin, Oliver, Milne, David, O’Connor, Patrick, Ratcliffe, Andrew, Rose, Alastair, Smith, Annie, Varma, Sandeep, Ward, Jackie, Barcraft-Barnes, Helena, Camsooksai, Julie, Colvin, Carolyn, Reschreiter, Henrik, Tbaily, Lee, Venner, Nicola, Hamilton, Caroline, Kelly, Lewi, Toth-Tarsoly, Piroska, Dodsworth, Kerry, Foord, Denise, Gordon, Paul, Hawes, Elizabeth, Lamb, Nikki, Mouland, Johanna, Nightingale, Jeremy, Rose, Steve, Schrieber, Joe, Al ‘Amri, Khalid, Aladin, Hafiz, Arshad, Mohammed Asif, Barraclough, Jame, Bentley, Conor, Bergin, Colin, Carrera, Ronald, Clarkson, Aisling, Collins, Michelle, Cooper, Lauren, Denham, Samuel, Griffiths, Ewen, Ip, Peter, Jeyanthan, Somasundaram, Joory, Kavita, Kaur, Satwant, Marriott, Paul, Mitchell, Natalie, Nagaiah, Sukumar, Nilsson, Annette, Parekh, Nilesh, Pope, Martin, Seager, Joseph, Serag, Hosam, Tameem, Alifia, Thomas, Anna, Thunder, Joanne, Torrance, Andrew, Vohra, Ravinder, whitehouse, Arlo, Wong, Tony, Blunt, Mark, Wong, Kate, Giles, Julian, Reed, Isabelle, Weller, Debbie, Bell, Gillian, Birch, Julie, Damant, Rose, Maiden, Jane, Mewies, Clare, Prince, Claire, Radford, Jane, Balain, Birender, Banerjee, Robin, Barnett, Andrew, Burston, Ben, Davies, Kirsty, Edwards, Jayne, Evans, Chri, Ford, David, Gallacher, Pete, Hill, Simon, Jaffray, David, Karlakki, Sudheer, Kelly, Cormac, Kennedy, Julia, Kiely, Nigel, Lewthwaite, Simon, Marquis, Chri, Ockendon, Matthew, Phillips, Stephen, Pickard, Simon, Richardson, Jame, Roach, Richard, Smith, Tony, Spencer-Jones, Richard, Steele, Niall, Steen, Julie, Van Liefland, Marck, White, Steve, Faulds, Matthew, Harris, Meredyth, Kelly, Carrie, Nicol, Scott, Pearson, Sally Anne, Chukkambotla, Srikanth, Andrew, Alyson, Attrill, Elizabeth, Campbell, Graham, Datson, Amanda, Fouracres, Anna, Graterol, Juan, Graves, Lynne, Hong, Bosun, Ishimaru, Alexander, Karthikeyan, Arvind, King, Helen, Lawson, Tom, Lee, Gregory, Lyons, Saoirse, Macalister Hall, Andrew, Mathoulin, Sophie, Mcintyre, Eilidh, Mclaughlin, Danny, Mulcahy, Kathleen, Ratcliffe, Anna, Robbins, Jame, Sung, Weilin, Tayo, Adeoluwa, Trembath, Lisa, Venugopal, Suneetha, Walker, Robert, Wigmore, Geoffrey, Boereboom, Catherine, Downes, Charlotte, Humphries, Ryan, Melbourne, Susan, Smith, Coral, Tou, Samson, Ullah, Shafa, Batchelor, Nick, Boxall, Leigh, Broomby, Rupert, Deen, Tariq, Hellewell, Alistair, Helliwell, Laurence, Hutchings, Melanie, Hutchins, David, Keenan, Samantha, Mackie, Donna, Donna, Alison, Smith, France, Stone, Lucy, Thorpe, Kevin, Wassall, Richard, Woodgate, Andrew, Baillie, Shelley, Campbell, Tara, James, Sarah, King, Chri, Marques de Araujo, Daniela, Martin, Daniel, Morkane, Clare, Neely, Julia, Rajendram, Rajkumar, Burton, Megan, James, Kathryn, Keevil, Edward, Minik, Orsolya, Morgan, Jenna, Musgrave, Anna, Rajanna, Harish, Roberts, Tracey, Adamson, Michael, Jumbe, Sandra, Kendall, Jennie, Muthuswamy, Mohan Babu, Anderson, Charlotte, Cruikshanks, Andrew, Wrench, Ian, Zeidan, Lisa, Ardern, Diane, Harris, Benjamin, Hellstrom, Johanna, Martin, Jane, Thomas, Richard, Varsani, Nimu, Wrey Brown, Caroline, Docherty, Philip, Gillies, Michael, McGregor, Euan, Usher, Helen, Craig, Jayne, Smith, Andrew, Ahmad, Tahania, Bodger, Phoebe, Creary, Thai, Fowler, Alexander, Hewson, Ru, Ijuo, Eke, Jones, Timothy, Kantsedikas, Ilya, Lahiri, Sumitra, McLean, Aaron Lawson, Niebrzegowska, Edyta, Phull, Mandeep, Wang, Difei, Wickboldt, Nadine, Baldwin, Jacqueline, Doyle, Donna, Mcmullan, Sean, Oladapo, Michelle, Owen, Thoma, Williams, Alexandra, Daniel, Hull, Gregory, Peter, Husain, Tauqeer, Kirk-Bayley, Justin, Mathers, Edward, Montague, Laura, White, Stuart, Avis, Joanne, Cook, Tim, Dali-Kemmery, Lola, Kerslake, Ian, Lambourne, Victoria, Pearson, Annabel, Boyd, Christine, Callaghan, Mark, Lawson, Cathy, McCrossan, Roopa, Nesbitt, Vanessa, O’connor, Laura, Scott, Julia, Sinclair, Rhona, Farid, Nahla, Morgese, Ciro, Bhatia, Kailash, Karmarkar, Swati, Ahmed, Jamil, Branagan, Graham, Hutton, Monica, Swain, Andrew, Brookes, Jamie, Cornell, Jonathan, Dolan, Rachael, Hulme, Jonathan, Jansen van Vuuren, Amanda, Jowitt, Tom, Kalashetty, Gunasheela, Lloyd, Fran, Patel, Kiran, Sherwood, Nichola, Brown, Lynne, Chandler, Ben, Deighton, Kerry, Emma, Temlett, Haunch, Kirsty, Cheeseman, Michelle, Dent, Kathy, Garg, Sanjeev, Gray, Carol, Hood, Marion, Jones, Dawn, Juj, Joanne, Rao, Roshan, Walker, Tara, Al Anizi, Mashel, Cheah, Clarissa, Cheing, Yushio, Coutinho, Francisco, Gondo, Prisca, Hadebe, Bernard, Onie Hove, Mazvangu, khader, Ahamed, Krishnachetty, Bobby, Rhodes, Karen, Sokhi, Jagdish, Baker, Katie-Anne, Bertram, Wendy, Looseley, Alex, Mouton, Ronelle, Arnold, Glenn, Arya, Shobhit, Balfoussia, Danai, Baxter, Linden, Harris, Jame, Jones, Craig, Knaggs, Alison, Markar, Sheraz, Perera, Anisha, Scott, Alasdair, Shida, Asako, Sirha, Ravneet, Wright, Sally, Frost, Victoria, Gray, Catherine, MacGregor, Mark, Andrews, Emma, Arrandale, Lindsay, Barrett, Stephen, Cifra, Elna, Cooper, Mariese, Dragnea, Drago, Elna, Cifra, Maclean, Jennifer, Meier, Sonja, Milliken, Donald, Munns, Christopher, Ratanshi, Nadir, Salvana, Abegail, Watson, Anthony, Ali, Hani, Campbell, Gill, Critchley, Rebecca, Hicks, Catherine, Liddle, Alison, Pass, Marc, Ritchie, Charlotte, Thomas, Charlotte, Too, Lingxi, Welsh, Sarah, Gill, Talvinder, Johnson, Joanne, Reed, Joanne, Davis, Edward, Papadopoullos, Sam, Attwood, Clare, Biffen, Andrew, Boulton, Kerenza, Gray, Sophie, Hay, David, Mills, Sarah, Montgomery, Jane, Riddell, Rory, Simpson, Jame, Bhardwaj, Neeraj, Paul, Elaine, Uwubamwen, Nosakhare, Alexander, Maini, Arrich, Jame, Arumugam, Swarna, Blackwood, Dougla, Boggiano, Victoria, Brown, Robyn, Lam Chan, Yik, Chatterjee, Devnandan, Chhabra, Ashok, Christian, Rachel, Costelloe, Hannah, Coxwell Matthewman, Madeline, Dalton, Emma, Darko, Julia, Davari, Maria, Dave, Tejal, Deacon, Matthew, Deepak, Shantal, Edmond, Holly, Ellis, Jessica, El-Sayed, Ahmed, Eneje, Philip, English, Rose, Ewe, Renee, Foers, William, Franklin, John, Gallego, Laura, Garrett, Emily, Goldberg, Olivia, Goss, Harry, Greaves, Rosanna, Harris, Rudy, Hennings, Charle, Jones, Eleanor, Kamali, Nelson, Kokkinos, Naomi, Lewis, Cary, Lignos, Leda, Malgapo, Evaleen Victoria, Malik, Rizwana, Milne, Andrew, Mulligan, John-Patrick, Nicklin, Philippa, Palipane, Natasha, Parsons, Thoma, Piper, Rebecca, Prakash, Rohan, Ramesh, Byron, Rasip, Sarah, Reading, Jacob, Rela, Mariam, Reyes, Anna, Robert, Stephen, Rooms, Martin, Shah, Karishma, Simons, Henry, Solanki, Shalil, Spowart, Emma, Stevens, Amy, Thomas, Christopher, Waggett, Helena, Yassaee, Arrash, Kennedy, Anthony, Scott, Sara, Somanath, Sameer, Berg, Andrew, Hernandez, Miguel, Nanda, Rajesh, Tank, Ghanshyambhai, Wilson, Natalie, 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X., Sun, C., Sun, Y., Wang, Y., Zhang, M., Chen, R., Hou, J., Leng, Y., Meng, Q.T., Qian, L., Shen, Z.Y., Xia, Z.Y., Xue, R., Zhao, B., Zhou, X.J., Chen, Q., Guo, H., Guo, Y., Qi, Y., Wei, J., Zhang, W., Zheng, L., Bao, Q., Fei, Y., Hu, N., Hu, X., Lei, M., Lv, X., Miao, F., Ouyang, L., Shen, C., Wang, D., Wu, C., Xu, L., Yuan, J., Zhang, L., Zhang, H., Zhao, J., Zhao, C., Zhao, L., Zheng, T., Zhou, D., Zhou, C., Lu, K., Zhao, T., He, C., Chen, H., Chen, S., Cheng, B., He, J., Jin, L., Li, C., Li, H., Pan, Y., Shi, Y., Wen, X.H., Wu, S., Xie, G., Zhang, K., Lu, X., Chen, F., Liang, Q., Lin, X., Ling, Y., Liu, G., Tao, J., Yang, L., Feng, Y., Hou, B., Lin, J., Liu, M., Luo, F., Shi, X., Xiong, Y., Yang, S., Zhang, Q., Zhao, W., Bai, Y., Dai, Q., Geng, W., Han, K., He, X., Ji, B., Jia, D., Jin, S., Li, Q., Liang, D., Luo, S., Lwang, L., Mo, Y., Qi, X., Qian, M., Qin, J., Ren, Y., Xie, J., Yan, Y., Yao, Y., Zhuang, X., Ai, Y., Du, F., He, L., Li, Z., Li, L., Meng, S., Yuan, Y., Zhang, E., Zhang, J., Zhao, S., Ji, Z., Pei, L., Dong, B., Li, J., Miao, Z., Mu, H., Qin, C., Su, L., Wen, Z., Xie, K., Yu, Y., Yuan, F., Xiao, W., Zhu, Z., Fu, K., Hu, R., Huang, S., Liang, Y., Yu, S., Guo, Z., Jing, Y., Tang, N., Wu, J., Yuan, D., Zhang, R., Zhao, X., Bai, H.P., Liu, C.X., Liu, F.F., Ren, W., Wang, X.L., Xu, G.J., Li, B., Ou, Y., Tang, Y., Yao, S., Zhang, S., Kong, C.C., Liu, B., Wang, T., Lu, B., Xia, Y., Cai, F., Chen, P., Hu, S., Xu, Q., Hu, L., Jing, L., Liu, Q., Peng, Z.D., Qiu, X., Ren, Q., Tong, Y., Wen, Y., Wu, Q., Xia, J., Xiong, X., Xu, S., Yang, T., Yin, N., Zeng, Q., Zhang, B., Zheng, K., Cang, J., Fan, Y., Fu, S., Ge, X., Guo, B., Huang, W., Jiang, L., Jiang, X., Shan, Q., Wang, F., Christiansen, I.C., Granum, S.N., Rasmussen, B.S., Daugaard, M., Gambhir, R., Steingrímsdóttir, G.E., Jensen-Gadegaard, P., Olsen, K.S., Siegel, H., Zwicky Eskildsen, K., Gätke, M.R., Wibrandt, I., Heintzelmann, S.B., Lange, KHW, Lundsgaard, R.S., Amstrup-Hansen, L., Hovendal, C., Larsen, M., Lenstrup, M., Kobborg, T., Larsen, J.R., Pedersen, A.B., Smith, S.H., Oestervig, R.M., Afshari, A., Andersen, C., Ekelund, K., Secher, E.L., Brandsborg, B., Beloeil, H., Lasocki, S., Ouattara, A., Sineus, M., Molliex, S., Legouge, M.L., Wallet, F., Tesniere, A., Gaudin, C., Lehur, P., Forsans, E., de Rudnicki, S., Serra Maudet, V., Mutter, D., Sojod, G., Ouaissi, M., Regimbeau, J.M., Desbordes, J., Comptaer, N., El Manser, D., Ethgen, S., Lebuffe, G., Auer, P., Härtl, C., Deja, M., Legashov, K., Sonnemann, S., Wiegand-Loehnert, C., Falk, E., Habicher, M., Angermair, S., Laetsch, B., Schmidt, K., Von Heymann, C., Ramminger, A., Jelschen, F., Pabel, S., Weyland, A., Czeslick, E., Gille, J., Malcharek, M., Sablotzki, A., Lueke, K., Wetzel, P., Weimann, J., Lenhart, F.P., Reichle, F., Schirmer, F., Hüppe, M., Klotz, K., Nau, C., Schön, J., Mencke, T., Wasmund, C., Bankewitz, C., Baumgarten, G., Fleischer, A., Guttenthaler, V., Hack, Y., Kirchgaessner, K., Männer, O., Schurig-Urbaniak, M., Struck, R., van Zyl, R., Wittmann, M., Goebel, U., Harris, S., Veit, S., Andreadaki, E., Souri, F., Katsiadramis, I., Skoufi, A., Vasileiou, M., Aimoniotou-Georgiou, E., Katsourakis, A., Veroniki, F., Vlachogianni, G., Petra, K., Chlorou, D., Oloktsidou, E., Ourailoglou, V., Papapostolou, K., Tsaousi, G., Daikou, P., Dedemadi, G., Kalaitzopoulos, I., Loumpias, C., Bristogiannis, S., Dafnios, N., Gkiokas, G., Kontis, E., Kozompoli, D., Papailia, A., Theodosopoulos, T., Bizios, C., Koutsikou, A., Moustaka, A., Plaitakis, I., Armaganidis, A., Christodoulopoulou, T., Lignos, M., Theodorakopoulou, M., Asimakos, A., Ischaki, E., Tsagkaraki, A., Zakynthinos, S., Antoniadou, E., Koutelidakis, I., Lathyris, D., Pozidou, I., Voloudakis, N., Dalamagka, M., Gkonezou, E., Chronis, C., Manolakaki, D., Mosxogiannidis, D., Slepova, T., Tsakiridou, I.S., Lampiri, C.L., Vachlioti, A.V., Panagiotakis, C.P., Sfyras, D.S., Tsimpoukas, F.T., Tsirogianni, A., Axioti, E., Filippopoulos, A., Kalliafa, E., Kassavetis, G., Katralis, P., Komnos, I., Pilichos, G., Ravani, I., Totis, A., Apagaki, E., Efthymiadi, A., Kampagiannis, N., Paraforou, T., Tsioka, A., Georgiou, G., Vakalos, A., Bairaktari, A., Charitos, E., Markou, G., Niforopoulou, P., Papakonstantinou, N., Tsigou, E., Xifara, A., Zoulamoglou, M., Gkioni, P., Karatzas, S., Kyparissi, A., Mainas, E., Papapanagiotou, I., Papavasilopoulou, T., Fragandreas, G., Georgopoulou, E., Katsika, E., Psarras, K., Synekidou, E., Verroiotou, M., Vetsiou, E., Zaimi, D., Anagnou, A., Apostolou, K., Melissopoulou, T., Rozenberg, T., Tsigris, C., Boutsikos, G., Kalles, V., Kotsalas, N., Lavdaiou, C., Paikou, F., Panagou, G.L., Spring, A., Botis, I., Drimala, M., Georgakakis, G., Kiourtzieva, E., Ntouma, P., Prionas, A., Xouplidis, K., Dalampini, E., Giannaki, C., Iasonidou, C., Ioannidis, O., Lavrentieva, A., Papageorgiou, G., Kokkinoy, M., Stafylaraki, M., Gaitanakis, S., Karydakis, P., Paltoglou, J., Ponireas, P., Chaloulis, P., Provatidis, A., Sousana, A., Gardikou, V.V., Konstantivelli, M., Lataniotou, O., Lisari, E., Margaroni, M., Stamatiou, K., Nikolaidis, E., Pnevmatikos, I., Sertaridou, E., Andreou, A., Arkalaki, E., Athanasakis, E., Chaniotaki, F., Chatzimichali, A., Christofaki, M., Dermitzaki, D., Fiorentza, K., Frantzeskos, G., Geromarkaki, E., Kafkalaki, K., Kalogridaki, M., Karydi, K., Kokkini, S., Kougentakis, G., Lefaki, T., Lilitsis, E., Makatounaki, A., Malliotakis, P., Michelakis, D., Neonaki, M., Nyktari, V., Palikyra, I., Papadakis, E., Papaioannou, A., Sfakianakis, K., Sgouraki, M., Souvatzis, X., Spartinou, A., Stefanidou, N., Syrogianni, P., Tsagkaraki, G., Arnaoutoglou, E., Arnaoutoglou, C., Bali, C., Bouris, V., Doumos, R., Gkini, K.P., Kapaktsi, C., Koulouras, V., Lena, A., Lepida, D., Michos, E., Papadopoulos, D., Paschopoulos, M., Rompou, V.A., Siouti, I., Tsampalas, S., Ververidou, O., Zilis, G., Charlalampidoy, A., Christodoulidis, G., Flossos, A., Stamoulis, K., Tsang, MSC, Tsang, M.S., Lai, M.L., Yip, C.P., Chan, HMH, Law, B., Li, W.S., Chu, H.M., Koo, EGY, Lam, CCJ, Cheng, K.H., Lam, T., Chu, S., Lam, W.Y., Wong, KWK, Kwok, D., Hung, CYJ, Chan, WKJ, LamWong, W., Chung, CKE, Ma, S.K., Kaushik, S., Shah, B., Shah, D., Shah, S., Ar, P., Muthuchellappan, R., Agarwal, V., Divatia, J., Mishra, S., Nimje, G., Pande, S., Savarkar, S., Shrivastava, A., Thomas, M., Yegnaram, S., Hidayatullah, R., Puar, N., Niman, S., Indra, I., Hamzah, Z., Yuliana, A., Abidin, U.N., Dursin, A.N., Kurnia, A., Susanti, A., Handayani, D., Aribawa, M.A., Arya, A., Senapathi, TGA, Utara, U.H., Wid, W.M., Wima, S., Wir, W.M., Jehosua, B., Kaunang, J., Lantang, E.Y., Najoan, R., Waworuntu, N., Awad, H., Fuad, A., Geddoa, B., Khalaf, A.R., Al Hussaini, S., Albaj, S., Kenber, M., Bettinelli, A., Spadaro, S., Volta, C.A., Giancarlo, L., Sottosanti, V., Spagnesi, L., Toretti, I., Alloj, C., Cardellino, S., Carmino, L., Costanzo, E., Fanfani, L.C., Novelli, M.T., Roasio, A., Bellandi, M., Bignami, E., Bocchino, S., Cabrini, L., Corti, D., Landoni, G., Meroni, R., Moizo, E., Monti, G., Pintaudi, M., Plumari, V.P., Taddeo, D., Testa, V., Winterton, D., Zangrillo, A., Cloro, L.M., Colangelo, C., Colangelo, A., Rotunno, G., Angel, M.P., Maria, C.P., Pata, A., Parrini, V., Gatta, A., Nastasi, M., Tinti, C., Arrigo, M., Benevento, A., Bottini, C., Cannavo', M., Gastaldi, C., Marchesi, A., Pascazio, A., Pata, F., Pozzi, E., Premoli, A., Tessera, G., Boschi, L., D'Andrea, R., Ghignone, F., Poggioli, G., Sibilio, A., Taffurelli, M., Ugolini, G., Ab Majid, M.A., Ab Rahman, R., Joseph, J., Pathan, F., Shah, MHS, Yap, H.L., Cheah, S., Chin, I.I., Looi, J.K., Tan, S.C., Visvalingam, S., Kwok, F.Y., Lee, C.K., Tan, T.S., Wong, S.M., Abdullah, N.H., Liew, C.F., Luxuman, L., Mohd Zin, N.H., Norddin, M.F., Alias, RLR, Wong, J.Y., Yong, J., Bin Mustapha, M.T., Chan, W.K., Dzulkipli, N., Kuan, P.X., Lee, Y.C., Alias, A., Guok, E.C., Jee, C.C., Ramon, B.R., Weng, C.W., Abd Ghafar, FNI, Aziz, F.Z., Hussain, N., Lee, H.S., Sukawi, I., Woon, Y.L., Abd Hadi, H.Z., Ahmad Azam, U.A., Alias, A.H., Kesut, S.A., Lee, J.M., Ooi, D.V., Sulaiman, H.A., Tengku Lih, T.A., Veerakumaran, J., Rojas, E., Resendiz, GEA, Zapata, DDM, Aguilar López, JCJ, Flores, AAA, Amador, JCB, Avila, EJD, Aquino, LPG, Rodriguez, R.L., Landa, M.T., Urias, E., Hollmann, M., Hulst, A., Kirzner, O., Preckel, B., Koopman-van Gemert, A., Buise, M., Tolenaar, N., Weber, E., de Fretes, J., Houweling, P., Ormskerk, P., Van Bommel, J., Lance, M., Smit-Fun, V., van Zundert, T., Baas, P., de Boer, H.D., Sprakel, J., Elferink-Vonk, R., Noordzij, P., van Zeggeren, L., Brand, B., Spanjersberg, R., Ten Bokkel-Andela, J., Numan, J., van Klei, W., van Zaane, B., Boer, C., van Duivenvoorde, Y., Hering, J.P., Zonneveldt, H., Hoare, S., Santa, S., Allen, S.J., Bell, R., Choi, H.D., Drake, M., Farrell, H., Higgie, K., Holmes, K., Jenkins, N., Kim, C.J., Kim, S., Law, K.C., McAllister, D., Park, K., Pedersen, K., Pfeifer, L., Salmond, T., Steynor, M., Tan, M., Waymouth, E., Ab Rahman, A.S., Armstrong, J., Dudson, R., Nilakant, J., Richard, S., Virdi, P., Dixon, L., Donohue, R., Farrow, M., Kennedy, R., Marissa, H., McKellow, M., Nicola, D., Pascoe, R., Roberts, S.J., Rowell, G., Sumner, M., Templer, P., Chandrasekharan, S., Fulton, G., Jammer, I., Ali, M., More, R., Wilson, L., Chang, Y.H., Chang, J., Fowler, C., Panckhurst, J., Sara, R., Stapelberg, F., Cherrett, V., Ganter, D.L., McCann, L., Foley, J., Gilmour, F., Lumsden, R., Moores, M., Olliff, S., Sardareva, E., Tai, J., Wikner, M., Wong, C., Chaddock, M., Czepanski, C., McKendry, P., Polakovic, D., Polakovich, D., Robert, A., Tormo Belda, M., Norton, T., Alherz, F., Barneto, L., Ramirez, A., Sayeed, A., Smith, N., Bennett, C., McQuoid, S., Jansen, T.L., Nico, Z., Scott, J., Freschini, D., Freschini, A., Hopkins, B., Manson, L., Stoltz, D., Bates, A., Davis, S., Freeman, V., McGaughran, L., Baskar Sharma, S., Burrows, T., Byrne, K., English, D., Johnson, R., Chai Law, K., Manikkam, B., Naidoo, S., Rumball, M., Whittle, N., Franks, R., Gibson-Lapsley, H., Salter, R., Walsh, D., Cooper, R., Perry, K., Obobolo, A., Sule, U.M., Ahmad, A., Atiku, M., Mohammed, A.D., Sarki, A.M., Adekola, O., Akanmu, O., Durodola, A., Olukoju, O., Raji, V., Olajumoke, T., Oyebamiji, E., Adenekan, A., Adetoye, A., Faponle, F., Olateju, S., Owojuyigbe, A., Talabi, A., Adenike, O., Adewale, B., Collins, N., Ezekiel, E., Fatungase, O.M., Grace, A., Sola, S., Stella, O., Ademola, A., Adeolu, A.A., Adigun, T., Akinwale, M., Fasina, O., Gbolahan, O., Idowu, O., Olonisakin, R.P., Osinaike, B.B., Asudo, F., Mshelia, D., Abdur-Rahman, L., Agodirin, O., Bello, J., Bolaji, B., Oyedepo, O.O., Ezike, H., Iloabachie, I., Okonkwo, I., Onuora, E., Onyeka, T., Ugwu, I., Umeh, F., Alagbe-Briggs, O., Dodiyi-Manuel, A., Echem, R., Obasuyi, B., Onajin-Obembe, B., Bandeira, M.E., Tomé, M., Martins Costa, ACM, Krystopchuk, A., Branco, T., Esteves, S., Melo, M.A., Monte, J., Rua, F., Martins, I., Pinho-Oliveira, V.M., Rodrigues, C.M., Cabral, R., Marques, S., Rêgo, S., Teixeira Jesus, J.S., Conceição Marques, M., Romao, C., Dias, S., Santos, A.M., Alves, M.J., Salta, C., Cruz, S., Duarte, C., Furtado Paiva, A.A., do Nascimento Cabral, T., Fariae Maia, D., Correia da Silva, RFM, Langner, A., Oliveira Resendes, H., da Conceição Soares, M., Abrunhosa, A., Faria, F., Miranda, L., Pereira, H., Serra, S., Ionescu, D., Margarit, S., Mitre, C., Vasian, H., Manga, G., Stefan, A., Tomescu, D., Filipescu, D., Paunescu, M.A., Stefan, M., Stoica, R., Gavril, L., Pătrăşcanu, E., Ristescu, I., Rusu, D., Diaconescu, C., Iosep, G.F., Pulbere, D., Ursu, I., Balanescu, A., Grintescu, I., Mirea, L., Rentea, I., Vartic, M., Lupu, M.N., Stanescu, D., Streanga, L., Antal, O., Hagau, N., Patras, D., Petrisor, C., Tosa, F., Tranca, S., Copotoiu, S.M., Ungureanu, L.L., Harsan, C.R., Papurica, M., Cernea, D.D., Dragoescu, N.A., Aflori, L., Vaida, C., Ciobotaru, O.R., Aignatoaie, M., Carp, C.P., Cobzaru, I., Mardare, O., Purcarin, B., Tutunaru, V., Ionita, V., Arustei, M., Codita, A., Busuioc, M., Chilinciuc, I., Ciobanu, C., Belciu, I., Tincu, E., Blaj, M., Grosu, R.M., Sandu, G., Bruma, D., Corneci, D., Dutu, M., Krepil, A., Copaciu, E., Dumitrascu, C.O., Jemna, R., Mihaescu, F., Petre, R., Tudor, C., Ursache, E., Kulikov, A., Lubnin, A., Grigoryev, E., Pugachev, S., Tolmasov, A., Hussain, A., Ilyina, Y., Roshchina, A., Iurin, A., Chazova, E., Dunay, A., Karelov, A., Khvedelidze, I., Voldaeva, O., Belskiy, V., Dzhamullaev, P., Grishkowez, E., Kretov, V., Levin, V., Molkov, A., Puzanov, S., Samoilenko, A., Tchekulaev, A., Tulupova, V., Utkin, I., Allorto, N.L., Bishop, D.G., Builu, P.M., Cairns, C., Dasrath, A., de Wet, J., den Hoedt, M., Grey, B., Hayes, M.P., Küsel, B.S., Shangase, N., Wise, R., Cacala, S., Farina, Z., Govindasamy, V., Kruse, C.H., Lee, C., Marais, L., Naidoo, T.D., Rajah, C., Rodseth, R.N., Ryan, L., von Rhaden, R., Adam, S., Alphonsus, C., Ameer, Y., Anderson, F., Basanth, S., Bechan, S., Bhula, C., Biccard, B.M., Biyase, T., Buccimazza, I., Cardosa, J., Daya, B., Drummond, L., Elabib, A., Goad, EHA, Goga, I.E., Goga, R., Hodgson, R.E., Kalafatis, N., Kampik, C., Landers, A.T., Loots, E., Madansein, R., Madaree, A., Madiba, T.E., Manzini, V.T., Mbuyisa, M., Moodley, R., Msomi, M., Mukama, I., Naidoo, D., Naidoo, R., Naidu, T.K., Ntloko, S., Padayachee, E., Padayachee, L., Phaff, M., Pillay, B., Pillay, D., Pillay, L., Ramnarain, A., Ramphal, S.R., Ryan, P., Saloojee, A., Sebitloane, M., Sigcu, N., Taylor, J.L., Torborg, A., Visser, L., Anderson, P., Conradie, A., de Swardt, M., de Villiers, M., Eikman, J., Liebenberg, R., Mouton, J., Paton, A., van der Merwe, L., Wilscott-Davids, C., Barrett, W.J., Bester, M., de Beer, J., Geldenhuys, J., Gouws, H., Potgieter, J.H., Strydom, M., Wilberforce-Turton, E., Chetty, R.R., Chirkut, S., Cronje, L., de Vasconcellos, K., Dube, N.Z., Green, G.M., Green-Thompson, R., Kinoo, S.M., Kistnasami, P., Maharaj, K., Moodley, M.S., Mothae, S.J., Rughubar, V., Reddy, J., Singh, A., Skinner, D.L., Smith, M.J., Singh, B., Misra, R., Naidoo, M., Ramdharee, P., Selibea, Y., Sewpersad, S., Sham, S., Wessels, J.D., Africander, C., Bejia, T., Blakemore, S.P., Botes, M., Bunwarie, B., Hernandez, C.B., Jeeraz, M.A., Legutko, D.A., Lopez, A.G., De Meyer, J.N., Muzenda, T., Naidoo, N., Patel, M., Pentela, R., Junge, M., Mansoor, N., Rademan, L., Scislowski, P., Seedat, I., van den Berg, B., van der Merwe, D., van Wyk, S., Govender, K., Naicker, D., Ramjee, R., Saley, M., Kuhn, W.P., Matos-Puig, R., Moolla, Z., Lisi, A., Perez, G., Valle Beltran, A., Lozano, A., Delgado Navarro, C., Duca, A., Pastor Martinez, E., Ferrando, C., Fuentes, I., García-Pérez, M.L., Gracia, E., Izquierdo Palomares, A., Katime, A., Miñana, A., Incertis, R., Romero, E., Romero Garcia, C.S., Rubio, C., Socorro Artiles, T., Soro, M., Valls, P., Laguarda, G.A., Benavent, P., Cuenca, V.C., Cueva, A., Lafuente, M., Parra, A.M., Rodrigo, A.R., Sanchez-Morcillo, S., Tormo, S., Redondo, F.J., De Andres, J., Gómez Diago, L., Hernández Cádiz, M.J., Manuel, G.G., Peris, R., Saiz, C., Tatay, J., Tebar Soto, M.T., Brunete, T., Cancho, D., Delgado García, D.R., Zamudio, D., Garcia Del Valle, S., Alonso, E., Anillo, V., Maseda, E., Salgado, P., Suarez, L., Suarez-de-la-Rica, A., Villagrán, M.J., Alonso, J.I., Cabezuelo, E., Garcia-Saiz, I., Lopez Del Moral, O., Martín, S., Perez Gonzalez, A., Tovar Doncel, S., Vera, M.A., Ávila Sánchez, F.J., Castaño, B., Castaño Moreira, B., Flores Risco, S., Paz Martín, D., Pérez Martín, F., Poza, P., Ruiz, A., Serna Martínez, W.F., Vicente, B.V., Dominguez, S.V., Fernández, S., Munoz-López, A., Bernat, M.J., Mas, A., Planas, K., Jawad, M., Saeed, Y., Hedin, A., Levander, H., Holmström, S., Lönn, D., Zoerner, F., Åkring, I., Widmark, C., Zettergren, J., Liljequist, V.A., Nystrom, L., Odeberg-Wernerman, S., Oldner, A., Reje, P., Lyckner, S., Sperber, J., Adolfsson, A., Klarin, B., Ögren, K., Barras, J.P., Bührer, T., Despotidis, V., Helmy, N., Holliger, S., Raptis, D.A., Schmid, R., Meyer, A., Jaquet, Y., Kessler, U., Muradbegovic, M., Nahum, S.R., Rotunno, T., Schiltz, B., Voruz, F., Worreth, M., Christoforidis, D., Popeskou, S.G., Furrer, M., Prevost, G.A., Stocker, A., Lang, K., Breitenstein, S., Ganter, M.T., Geisen, M., Soll, C., Korkmaz, M., Lubach, I., Schmitz, M., Meyer Zu Schwabedissen, M., Zingg, U., Hillermann, T., Wildi, S., Pinto, B.B., Walder, B., Hübner, M., Mariotti, G., Slankamenac, K., Namuyuga, M., Kyomugisha, E., Kituuka, O., Wesonga Shikanda, A., Kakembo, N., Otim Tom, C., Webombesa, A., Bua, E., Ssettabi, E.M., Epodoi, J., Kabagenyi, F., Kirya, F., Dempsey, G., Seasman, C., Basit Nawaz Khan, R., Kurasz, C., Macgregor, M., Shawki, B., Hariharan, V., Chau, S., Ellis, K., Butt, G., Chicken, D.W., Christmas, N., Allen, S., Daniel, G.D., Dempster, A., Kemp, J., Matthews, L., Mcglone, P., Tambellini, J., Trodd, D., Freitas, K., Garg, A., Karpate, S., O'Hara, C., Troko, J., Angus, K., Bradley, J., Brennan, E., Brooks, C., Brown, J., Brown, G., Finch, A., Gratrix, K., Hesketh, S., Hill, G., Jeffs, C., Morgan, M., Pemberton, C., Slawson, N., Spickett, H., Swarbrick, G., Van Duyvenvoorde, G., Brennan, A., Briscoe, R., Cooper, S., Lawton, T., Northey, M., Senaratne, R., Stanworth, H., Burrows, L., Cain, H., Craven, R., Davies, K., Jonas, A., Pachucki, M., Walkden, G., Davies, H., Gudaca, M., Hobrok, M., Arawwawala, D., Fergey, L., Gardiner, M., Gunn, J., Johnson, L., Lofting, A., Lyle, A., Mc Neela, F., Smolen, S., Topliffe, J., Williams, S., Bland, M., Kaura, V., Lanka, P., Naylor, C., Ahmed, A., Myatt, J., Shenoy, R., Soon, W.C., Tan, J., Karadia, S., Self, J., Durant, E., Tripathi, S., Bullock, C., Ghosh, A., Hughes, T., Zsisku, L., Bengeri, S., Cowton, A., Khalid, M.S., Limb, J., McAdam, C., Porritt, M., Rafi, M.A., Shekar, P., Harden, C., Hollands, H., King, A., March, L., Minto, G., Patrick, A., Waugh, D., Kumara, P., Simeson, K., Yarwood, J., Browning, J., Hatton, J., Julian, H., Mitra, A., Newton, M., Pernu, P., Wilson, A., Commey, T., Foot, H., Glover, L., Gupta, A., Lancaster, N., Levin, J., Mackenzie, F., Mestanza, C., Nofal, E., Pout, L., Varden, R., Wild, J., Jones, S., Moreton, S., Pulletz, M., Davies, C., Martin, M., Thomas, S., Burns, K., McArthur, C., Patel, P., Lau, G., Rich, N., Davis, F., Lyons, R., Port, B., Prout, R., Smith, C., Adelaja, Y., Bennett, V., Bidd, H., Dumitrescu, A., Murphy, J.F., Keen, A., Mguni, N., Ong, C., Adams, G., Boshier, P., Brown, R., Butryn, I., Chatterjee, J., Freethy, A., Lockwood, G., Tsakok, M., Tsiligiannis, S., Peat, W., Stephenson, L., Bradburn, M., Pick, S., Cunha, P., Olagbaiye, O., Tayeh, S., Abernethy, C., Balasubramaniam, M., Bennett, R., Bolton, D., Martinson, V., Bell, S., Heather, B., Kushakovsky, V., Alcock, L., Alexander, H., Anderson, C., Baker, P., Brookes, M., Cawthorn, L., Cirstea, E., Colling, K., Coulter, I., Das, S., Haigh, K., Hamdan, A., Hugill, K., Kottam, L., Lisseter, E., Mawdsley, M., McGivern, J., Padala, K., Phelps, V., Kumar, V.R., Stewart, K., Towse, K., Tregonning, J., Vahedi, A., Walker, A., Baines, D., Bilolikar, A., Chande, S., Copley, E., Dunk, N., Kulkarni, R., Kumar, P., Metodiev, Y., Ncomanzi, D., Raithatha, B., Raymode, P., Szafranski, J., Twohey, L., Watt, P., Weatherall, L., Whitman, Z., Wighton, E., Abayasinghe, C., Chan, A., Darwish, S., Gill, J., Glasgow, E., Hadfield, D., Harris, C., Kochhar, A., Mellis, C., Pool, A., Riozzi, P., Selman, A., Smith, E.J., Vele, L., Gercek, Y., Guy, K., Holden, D., Watson, N., Whysall, K., Andreou, P., Hales, D., Thompson, J., Bowrey, S., McDonald, S., Gilmore, J., Hills, V., Kelly, C., Kelly, S., Lloyd, G., Abbott, T., Gall, L., Torrance, H., Vivian, M., Berntsen, E., Nolan, T., Turner, A., Vohra, A., Brown, A., Clark, R., Coughlan, E., Daniel, C., Patvardhan, C., Pearson, R., Predeep, S., Saad, H., Shanmugam, M., Varley, S., Wylie, K., Cooper, L., Makowski, A., Misztal, B., Moldovan, E., Pegg, C., Donovan, A., Foot, J., Large, S., Claxton, A., Netke, B., Armstrong, R., Calderwood, C., Kwok, A., Mohr, O., Oyeniyi, P., Patnaik, L., Post, B., Ali, S., Arshad, H., Baker, G., Brenner, L., Brincat, M., Brunswicker, A., Cox, H., Cozar, O.I., Durst, A., Fengas, L., Flatt, J., Glister, G., Narwani, V., Photi, E., Rankin, A., Rosbergen, M., Beaton, C., Horn, R., Hunt, J., Rousseau, G., Stancombe, L., Absar, M., Allsop, J., Drinkwater, Z., Hodgkiss, T., Smith, K., Alexander-Sefre, F., Campey, L., Dudgeon, L., Hall, K., Hitchcock, R., James, L., Winstone, U., Ahmad, N., Bauchmuller, K., Harrison, J., Jeffery, H., Miller, D., Pinder, A., Pothuneedi, S., Rosser, J., Sanghera, S., Swift, D., Walker, R., Bester, D., Cavanagh, S., Cripps, H., Daniel, H., Lynch, J., Pyke, S., Scholefield, J., Whitworth, H., Bottrill, F., Ramalingam, G., Webb, S., Akerman, N., Antill, P., Bourner, L., Buckley, S., Castle, G., Charles, R., Eggleston, C., Foster, R., Gill, S., Lindley, K., Lklouk, M., Lowery, T., Martin, O., Milne, D., O'Connor, P., Ratcliffe, A., Rose, A., Smith, A., Varma, S., Ward, J., Barcraft-Barnes, H., Camsooksai, J., Colvin, C., Reschreiter, H., Tbaily, L., Venner, N., Hamilton, C., Kelly, L., Toth-Tarsoly, P., Dodsworth, K., Foord, D., Gordon, P., Hawes, E., Lamb, N., Mouland, J., Nightingale, J., Rose, S., Schrieber, J., Al 'Amri, K., Aladin, H., Arshad, M.A., Barraclough, J., Bentley, C., Bergin, C., Carrera, R., Clarkson, A., Collins, M., Denham, S., Griffiths, E., Ip, P., Jeyanthan, S., Joory, K., Kaur, S., Marriott, P., Mitchell, N., Nagaiah, S., Nilsson, A., Parekh, N., Pope, M., Seager, J., Serag, H., Tameem, A., Thomas, A., Thunder, J., Torrance, A., Vohra, R., Whitehouse, A., Wong, T., Blunt, M., Wong, K., Giles, J., Reed, I., Weller, D., Bell, G., Birch, J., Damant, R., Maiden, J., Mewies, C., Prince, C., Radford, J., Balain, B., Banerjee, R., Barnett, A., Burston, B., Edwards, J., Evans, C., Ford, D., Gallacher, P., Hill, S., Jaffray, D., Karlakki, S., Kennedy, J., Kiely, N., Lewthwaite, S., Marquis, C., Ockendon, M., Phillips, S., Pickard, S., Richardson, J., Roach, R., Smith, T., Spencer-Jones, R., Steele, N., Steen, J., Van Liefland, M., White, S., Faulds, M., Harris, M., Nicol, S., Pearson, S.A., Chukkambotla, S., Andrew, A., Attrill, E., Campbell, G., Datson, A., Fouracres, A., Graterol, J., Graves, L., Hong, B., Ishimaru, A., Karthikeyan, A., King, H., Lawson, T., Lee, G., Lyons, S., Macalister Hall, A., Mathoulin, S., Mcintyre, E., Mclaughlin, D., Mulcahy, K., Robbins, J., Sung, W., Tayo, A., Trembath, L., Venugopal, S., Wigmore, G., Boereboom, C., Downes, C., Humphries, R., Melbourne, S., Tou, S., Ullah, S., Batchelor, N., Boxall, L., Broomby, R., Deen, T., Hellewell, A., Helliwell, L., Hutchings, M., Hutchins, D., Keenan, S., Mackie, D., Donna, A., Smith, F., Stone, L., Thorpe, K., Wassall, R., Woodgate, A., Baillie, S., Campbell, T., James, S., King, C., Marques de Araujo, D., Martin, D., Morkane, C., Neely, J., Rajendram, R., Burton, M., James, K., Keevil, E., Minik, O., Morgan, J., Musgrave, A., Rajanna, H., Roberts, T., Adamson, M., Jumbe, S., Kendall, J., Muthuswamy, M.B., Cruikshanks, A., Wrench, I., Zeidan, L., Ardern, D., Harris, B., Hellstrom, J., Martin, J., Thomas, R., Varsani, N., Wrey Brown, C., Docherty, P., Gillies, M., McGregor, E., Usher, H., Craig, J., Ahmad, T., Bodger, P., Creary, T., Fowler, A., Ijuo, E., Jones, T., Kantsedikas, I., Lahiri, S., McLean, A.L., Niebrzegowska, E., Phull, M., Wickboldt, N., Baldwin, J., Doyle, D., Mcmullan, S., Oladapo, M., Owen, T., Williams, A., Gregory, P., Husain, T., Kirk-Bayley, J., Mathers, E., Montague, L., Avis, J., Cook, T., Dali-Kemmery, L., Kerslake, I., Lambourne, V., Pearson, A., Boyd, C., Callaghan, M., Lawson, C., McCrossan, R., Nesbitt, V., O'connor, L., Sinclair, R., Farid, N., Morgese, C., Bhatia, K., Karmarkar, S., Ahmed, J., Branagan, G., Hutton, M., Swain, A., Brookes, J., Cornell, J., Dolan, R., Hulme, J., Jansen van Vuuren, A., Jowitt, T., Kalashetty, G., Lloyd, F., Patel, K., Sherwood, N., Brown, L., Chandler, B., Deighton, K., Emma, T., Haunch, K., Cheeseman, M., Dent, K., Gray, C., Hood, M., Jones, D., Juj, J., Rao, R., Walker, T., Al Anizi, M., Cheah, C., Cheing, Y., Coutinho, F., Gondo, P., Hadebe, B., Onie Hove, M., Khader, A., Krishnachetty, B., Rhodes, K., Sokhi, J., Baker, K.A., Bertram, W., Looseley, A., Mouton, R., Arnold, G., Arya, S., Balfoussia, D., Baxter, L., Harris, J., Jones, C., Knaggs, A., Markar, S., Perera, A., Scott, A., Shida, A., Sirha, R., Wright, S., Frost, V., MacGregor, M., Andrews, E., Arrandale, L., Barrett, S., Cifra, E., Cooper, M., Dragnea, D., Elna, C., Maclean, J., Meier, S., Milliken, D., Munns, C., Ratanshi, N., Salvana, A., Watson, A., Ali, H., Critchley, R., Hicks, C., Liddle, A., Pass, M., Ritchie, C., Thomas, C., Too, L., Welsh, S., Gill, T., Johnson, J., Reed, J., Davis, E., Papadopoullos, S., Attwood, C., Biffen, A., Boulton, K., Gray, S., Hay, D., Mills, S., Montgomery, J., Riddell, R., Simpson, J., Bhardwaj, N., Paul, E., Uwubamwen, N., Alexander, M., Arrich, J., Arumugam, S., Blackwood, D., Boggiano, V., Lam Chan, Y., Chatterjee, D., Chhabra, A., Christian, R., Costelloe, H., Coxwell Matthewman, M., Dalton, E., Darko, J., Davari, M., Dave, T., Deacon, M., Deepak, S., Edmond, H., Ellis, J., El-Sayed, A., Eneje, P., English, R., Ewe, R., Foers, W., Franklin, J., Gallego, L., Garrett, E., Goldberg, O., Goss, H., Greaves, R., Harris, R., Hennings, C., Jones, E., Kamali, N., Kokkinos, N., Lewis, C., Lignos, L., Malgapo, E.V., Malik, R., Milne, A., Mulligan, J.P., Nicklin, P., Palipane, N., Parsons, T., Piper, R., Prakash, R., Ramesh, B., Rasip, S., Reading, J., Rela, M., Reyes, A., Robert, S., Rooms, M., Shah, K., Simons, H., Solanki, S., Spowart, E., Stevens, A., Waggett, H., Yassaee, A., Kennedy, A., Scott, S., Somanath, S., Berg, A., Hernandez, M., Nanda, R., Tank, G., Wilson, N., Wilson, D., Al-Soudaine, Y., Baldwin, M., Cornish, J., Davies, Z., Davies, L., Edwards, M., Frewer, N., Gallard, S., Glasbey, J., Harries, R., Hopkins, L., Kim, T., Koompirochana, V., Lawson, S., Lewis, M., Makzal, Z., Scourfield, S., Ahmad, Y., Bates, S., Blackwell, C., Bryant, H., Coulter, S., Cruickshank, R., Daniel, S., Daubeny, T., Golder, K., Hawkins, L., Helen, B., Hinxman, H., Levett, D., Skinner, B., Walsgrove, J., Dickson, J., Constantin, K., Karen, M., O'Brien, P., O'Donohoe, L., Payne, H., Sundayi, S., Walker, E., Brooke, J., Cardy, J., Humphreys, S., Kessack, L., Kubitzek, C., Kumar, S., Cotterill, D., Hodzovic, E., Hosdurga, G., Miles, E., Saunders, G., Campbell, M., Chan, P., Jemmett, K., Raj, A., Naik, A., Ramamoorthy, R., Shah, N., Sylvan, A., Blyth, K., Burtenshaw, A., Freeman, D., Johnson, E., Lo, P., Martin, T., Plunkett, E., Wollaston, J., Allison, J., Carroll, C., Craw, N., Craw, S., Pitt-Kerby, T., Rowland-Axe, R., Spurdle, K., McDonald, A., Simon, D., Sinha, V., Banner-Goodspeed, V., Boone, M., Campbell, K., Lu, F., Scannell, J., Sobol, J., Balajonda, N., Clemmons, K., Conde, C., Funk, B., Hopkins, T., Olaleye, O., Omer, O., Pender, M., Porto, A., Waweru, P., Yeh, E., Bodansky, D., Evans, A., Kleopoulos, S., Maril, R., Mathney, E., Sanchez, A., Tinuoye, E., Bateman, B., Eng, K., Jiang, N., Ladha, K., Needleman, J., Chen, L.L., Lane, R., Robinowitz, D., Ghushe, N., Irshad, M., Patel, S., Takemoto, S., Wallace, A., Mazzeffi, M., Rock, P., Wallace, K., Zhu, X., Chua, P., Mattera, M., Sharar, R., Thilen, S., Treggiari, M., Morgan, A., Sofjan, I., Subramaniam, K., Avidan, M., Maybrier, H., Muench, M., and Wildes, T.
Subjects: Male, HSJ UCI, Critical Care and Intensive Care Medicine, law.invention, Perioperative Care/methods, 0302 clinical medicine, Surgical procedures, 030202 anesthesiology, law, Critical care/utilisation, Postoperative care/methods, Postoperative care/statistics and numerical data, Surgical procedures, operative/mortality, statistics and numerical data, Prospective Studies, Postoperative Period, Postoperative care/methods, education.field_of_study, Postoperative care/method, Elective Surgical Procedures/mortality, fluid output, Middle Aged, fluid administration, Intensive care unit, Hospitalization, Length of Stay/statistics & numerical data, operative/mortality, Intensive Care Units/statistics & numerical data, outcome, Female, Elective Surgical Procedure, Human, Adult, medicine.medical_specialty, Logistic Model, Postoperative care/statistics and numerical data, Critical care/utilisation, Population, Intensive Care Unit, Elective Surgical Procedures/statistics & numerical data, Hospitalization/statistics & numerical data, Humans, Logistic Models, Surgical procedures, operative/mortality, Postoperative care, methods, Perioperative Care, NO, 03 medical and health sciences, Anesthesiology, Intensive care, medicine, Elective surgery, Intensive care medicine, education, business.industry, 030208 emergency & critical care medicine, Perioperative, Length of Stay, Clinical trial, Prospective Studie, septic shock, business
Abstract: PURPOSE: As global initiatives increase patient access to surgical treatments, there is a need to define optimal levels of perioperative care. Our aim was to describe the relationship between the provision and use of critical care resources and postoperative mortality. METHODS: Planned analysis of data collected during an international 7-day cohort study of adults undergoing elective in-patient surgery. We used risk-adjusted mixed-effects logistic regression models to evaluate the association between admission to critical care immediately after surgery and in-hospital mortality. We evaluated hospital-level associations between mortality and critical care admission immediately after surgery, critical care admission to treat life-threatening complications, and hospital provision of critical care beds. We evaluated the effect of national income using interaction tests. RESULTS: 44,814 patients from 474 hospitals in 27 countries were available for analysis. Death was more frequent amongst patients admitted directly to critical care after surgery (critical care: 103/4317 patients [2%], standard ward: 99/39,566 patients [0.3%]; adjusted OR 3.01 [2.10-5.21]; p < 0.001). This association may differ with national income (high income countries OR 2.50 vs. low and middle income countries OR 4.68; p = 0.07). At hospital level, there was no association between mortality and critical care admission directly after surgery (p = 0.26), critical care admission to treat complications (p = 0.33), or provision of critical care beds (p = 0.70). Findings of the hospital-level analyses were not affected by national income status. A sensitivity analysis including only high-risk patients yielded similar findings. CONCLUSIONS: We did not identify any survival benefit from critical care admission following surgery. info:eu-repo/semantics/publishedVersion
Published: 2017
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21. Deep Reinforcement Learning-Based Beam Training for Spatially Consistent Millimeter Wave Channels

Author: John Thompson, Narengerile Narengerile, Paul Patras, and Tharmalingam Ratnarajah
Subjects: Computer science, business.industry, Transmitter, Extremely high frequency, Electronic engineering, Reinforcement learning, Overhead (computing), Wireless, Spectral efficiency, Antenna (radio), business, Beam (structure)
Abstract: The fifth generation wireless systems are starting to exploit the large bandwidths available in the millimeter-wave (mmWave) spectrum to provide high data rates. The exploitation of mmWave requires the use of compact antenna arrays with hundreds of antenna elements, which leads to very directional beam patterns. The beams at both the transmitter and the receiver are trained periodically to maintain accurate beam alignments. The trade-off between the training overhead and the achievable data rate must be considered. In this paper, we propose an adaptive beam training algorithm using deep reinforcement learning for tracking dynamic mmWave channels. Based on the patterns learnt from historical data, the proposed algorithm can sense the changes in the environment and switch between different beam training methods so that a high data rate can be achieved with a minimum amount of beam training.
Published: 2021
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22. MP25-05 TAMM-HORSFALL PROTEIN MODULATES NEUTROPHIL NETOSIS DURING URINARY TRACT INFECTION

Author: Vicki Mercado, Victor Nizet, Ingrid Cornax, and Katy Patras
Subjects: Tamm–Horsfall protein, biology, business.industry, Urology, Urinary system, Immunology, biology.protein, Medicine, business
Published: 2021
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23. Serum prolactin levels interact with menstrual fluctuations of arterial stiffness

Author: Kimon Stamatelopoulos, Irene Lambrinoudaki, Konstantinos Panoulis, Areti Augoulea, Raphael Patras, Eleni Armeni, Stefanos Stergiotis, Stavroula Baka, Loraina Kontou, Georgios Georgiopoulos, Panagiota Chatzivasileiou, Demetrios Rizos, Stavroula A Paschou, George Kaparos, Dimitrios Delialis, and Georgios Mavraganis
Subjects: Serum prolactin, medicine.medical_specialty, Endocrinology, business.industry, Internal medicine, medicine, Arterial stiffness, business, medicine.disease
Published: 2021
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24. Levels of circulating amyloid beta 1-40 are associated with the rate of progression of atherosclerosis in menopause

Author: Panagiota Chatzivasileiou, Simon Tual-Chalot, Areti Augoulea, Dimitrios Delialis, Raphael Patras, Anastasia Soureti, Eleni Armeni, Nikolaos Tsoltos, Konstantinos Stellos, Georgios Georgiopoulos, Evmorfia Aivalioti, Iliana Karagkouni, Irene Lambrinoudaki, Kimon Stamatelopoulos, Stavroula A Paschou, and Nikolaos I. Vlachogiannis
Subjects: Menopause, medicine.medical_specialty, Endocrinology, biology, Amyloid beta, business.industry, Internal medicine, medicine, biology.protein, medicine.disease, business
Published: 2021
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25. Few-Shot Action Localization without Knowing Boundaries

Author: Christos Tzelepis, Tingting Xie, Ioannis Patras, and Fan Fu
Subjects: FOS: Computer and information sciences, Similarity (geometry), business.industry, Computer science, Computer Vision and Pattern Recognition (cs.CV), Target–action, Shot (filmmaking), Computer Science - Computer Vision and Pattern Recognition, Pattern recognition, Class (biology), Annotation, Task (computing), Action (philosophy), Temporal similarity, Artificial intelligence, business
Abstract: Learning to localize actions in long, cluttered, and untrimmed videos is a hard task, that in the literature has typically been addressed assuming the availability of large amounts of annotated training samples for each class -- either in a fully-supervised setting, where action boundaries are known, or in a weakly-supervised setting, where only class labels are known for each video. In this paper, we go a step further and show that it is possible to learn to localize actions in untrimmed videos when a) only one/few trimmed examples of the target action are available at test time, and b) when a large collection of videos with only class label annotation (some trimmed and some weakly annotated untrimmed ones) are available for training; with no overlap between the classes used during training and testing. To do so, we propose a network that learns to estimate Temporal Similarity Matrices (TSMs) that model a fine-grained similarity pattern between pairs of videos (trimmed or untrimmed), and uses them to generate Temporal Class Activation Maps (TCAMs) for seen or unseen classes. The TCAMs serve as temporal attention mechanisms to extract video-level representations of untrimmed videos, and to temporally localize actions at test time. To the best of our knowledge, we are the first to propose a weakly-supervised, one/few-shot action localization network that can be trained in an end-to-end fashion. Experimental results on THUMOS14 and ActivityNet1.2 datasets, show that our method achieves performance comparable or better to state-of-the-art fully-supervised, few-shot learning methods., Comment: ICMR21 Camera ready; link to code: https://github.com/June01/WFSAL-icmr21
Published: 2021
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26. Outcome of pretransplant melanoma after solid organ transplantation: an observational study

Author: Denis Jullien, Jacques Dantal, Céleste Lebbé, Aurélie Du Thanh, Julie Delyon, Christophe Legendre, Evelyne Decullier, Marion Patras, Jean Kanitakis, Manal Mazloum, Emmanuel Morelon, Feriel Boukari, and Emilie Ducroux
Subjects: Oncology, Male, Transplantation, medicine.medical_specialty, Skin Neoplasms, business.industry, Melanoma, Organ Transplantation, Sequence Analysis, DNA, medicine.disease, Kidney Transplantation, Organ transplantation, Stage ib, Internal medicine, medicine, Humans, Observational study, Stage (cooking), Solid organ transplantation, business, Melanoma diagnosis
Abstract: Background The number of patients with a history of melanoma who are waiting a solid organ transplantation (SOT) is increasing. Few recommendations exist on the timing to transplantation after melanoma diagnosis. The aim of this study was to assess the melanoma recurrence-free survival after pretransplant melanoma (PTM). Methods We conducted a multicenter ambispective observational study. Organ transplant recipients (OTR) with a history of PTM and complete AJCC staging were included. Results Thirty-seven patients (predominantly men with a renal allograft) were included. Five melanomas were in situ, 21 stage IA, 4 stage IB, 5 stage II and 2 stage IIIB. The median post-transplantation follow-up time was 4 years. 62% of patients were followed more than 2 years. Recurrence-free survival since melanoma reached 89.9%, but varied significantly according to AJCC staging (p=0.0129). Three patients presented a recurrence. Conclusion Despite the rather limited sample size and a wide range of follow-up, our findings concerning the recurrence-free survival appear reassuring for in situ and stage IA PTM; accordingly we suggest that a waiting time to transplantation is not mandatory in patients with in situ or stage IA PTM, especially whenever SOT I s urgently needed. Caution is however needed for patients with higher stage.
Published: 2021

27. Architectures for SLAM and Augmented Reality Computing

Author: Emmanouil Hourdakis, Christos D. Antonopoulos, Ioanna Kartsonaki, Paul Zikas, Spyros Lalis, Stylianos Piperakis, Panos Trahanias, Nikolaos Tavoularis, Iakovos Stamoulis, Nikolaos Bellas, Georgios Keramidas, Alexandros Patras, George Papagiannakis, and Maria-Rafaela Gkeka
Subjects: business.industry, Computer science, Location awareness, Robotics, Simultaneous localization and mapping, Virtual reality, computer.software_genre, Software, Computer architecture, Power consumption, Medical training, Augmented reality, Artificial intelligence, business, computer
Abstract: In the next few years, new demanding applications will be supported on mobile platforms by reconciling two conflicting requirements: high performance (often with real-time limitations) and low power consumption. The objective of the vipGPU project is to develop hardware and software technology to provide efficient support for two such application scenarios, namely (a) simultaneous localization and mapping (SLAM) in mobile robotics systems, and (b) virtual reality (VR) in portable devices to simulate serious games with emphasis on simulating surgical interventions and medical training in general. In this project, we aim at developing a new heterogeneous platform consisting of hardware accelerators for low power embedded systems optimized (at the hardware and software level) for the implementation of the two applications mentioned above.
Published: 2021
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28. A Stylistics of Exiled Lives

Author: Roxana Patras
Subjects: Literature, business.industry, media_common.quotation_subject, Art, Stylistics, business, media_common
Published: 2019
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29. Universal Foreground Segmentation Based on Deep Feature Fusion Network for Multi-Scene Videos

Author: Ioannis Patras, Ye Tao, and Zhihao Ling
Subjects: foreground segmentation, General Computer Science, Computer science, business.industry, Deep learning, Feature extraction, General Engineering, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Convolutional neural network, multi-scene videos aware, Activity recognition, General Materials Science, Segmentation, Computer vision, Anomaly detection, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, lcsh:TK1-9971, Reference frame
Abstract: Foreground/background (fg/bg) classification is an important first step for several video analysis tasks such as people counting, activity recognition and anomaly detection. As is the case for several other Computer Vision problems, the advent of deep Convolutional Neural Network (CNN) methods has led to major improvements in this field. However, despite their success, CNN-based methods have difficulties in coping with multi-scene videos where the scenes change multiple times along the time sequence. In this paper, we propose a deep features fusion network based foreground segmentation method (DFFnetSeg), which is both robust to scene changes and unseen scenes comparing with competitive state-of-the-art methods. In the heart of DFFnetSeg lies a fusion network that takes as input deep features extracted from a current frame, a previous frame, and a reference frame and produces as output a segmentation mask into background and foreground objects. We show the advantages of using a fusion network and the three frames group in dealing with the unseen scene and bootstrap challenge. In addition, we show that a simple reference frame updating strategy enables DFFnetSeg to be robust to sudden scene changes inside video sequences and prepare a motion map based post-processing method which further reduces false positives. Experimental results on the test dataset generated from CDnet2014 and Lasiesta demonstrate the advantages of the DFFnetSeg method.
Published: 2019

30. Augmentation of Urinary Lactoferrin Enhances Host Innate Immune Clearance of Uropathogenic Escherichia coli

Author: Victor Nizet, Emma Rooholfada, Satish P Ramachandra Rao, Albert D. Ha, Kathryn A. Patras, Joshua Olson, and Ann Lin
Subjects: 0301 basic medicine, Innate immune system, biology, business.industry, medicine.drug_class, Lactoferrin, Urinary system, Antibiotics, urologic and male genital diseases, medicine.disease_cause, Antimicrobial, female genital diseases and pregnancy complications, Microvesicles, Microbiology, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Antibiotic resistance, 030228 respiratory system, biology.protein, Immunology and Allergy, Medicine, business, Escherichia coli
Abstract: Urinary tract infection (UTI) is a prominent global health care burden. Although UTI is readily treated with antibiotics in healthy adults, complicated cases in immune-compromised individuals and the emerging antibiotic resistance of several uropathogens have accelerated the need for new treatment strategies. Here, we surveyed the composition of urinary exosomes in a mouse model of uropathgenic Escherichia coli (UPEC) UTI to identify specific urinary tract defense constituents for therapeutic development. We found an enrichment of the iron-binding glycoprotein lactoferrin in the urinary exosomes of infected mice. In subsequent in vitro studies, we identified human bladder epithelial cells as a source of lactoferrin during UPEC infection. We further established that exogenous treatment with human lactoferrin (hLf) reduces UPEC epithelial adherence and enhances neutrophil antimicrobial functions including bacterial killing and extracellular trap production. Notably, a single intravesicular dose of hLf drastically reduced bladder bacterial burden and neutrophil infiltration in our murine UTI model. We propose that lactoferrin is an important modulator of innate immune responses in the urinary tract and has potential application in novel therapeutic design for UTI.
Published: 2019
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31. Pairwise Ranking Network for Affect Recognition

Author: Georgios Zoumpourlis and Ioannis Patras
Subjects: Preference learning, Relation (database), Computer science, Generalization, business.industry, Sample (statistics), Machine learning, computer.software_genre, Regression, ComputingMethodologies_PATTERNRECOGNITION, Ranking, Leverage (statistics), Pairwise comparison, Artificial intelligence, business, computer
Abstract: In this work we study the problem of emotion recognition under the prism of preference learning. Affective datasets are typically annotated by assigning a single absolute label, i.e. a numerical value that describes the intensity of an emotional attribute, to each sample. Then, the majority of existing works on affect recognition employ sample-wise classification/regression methods to predict affective states, using those annotations. We take a different approach and use a deep network architecture that performs joint training on the tasks of classification/regression of samples and ordinal ranking between pairs of samples. By treating input samples in a pairwise manner, we leverage the auxiliary task of inferring the ordinal relation between their corresponding affective states. Incorporating the ranking objective allows capturing the inherently ordinal structure of emotions and learning the inter-sample relations, resulting in better generalization. Our method is incorporated into existing affect recognition architectures and evaluated on datasets of electroencephalograms (EEG) and images. We show that the approach proposed in this work leads to consistent performance gains when incorporated in classification/regression networks.
Published: 2021
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32. Peer Review #2 of 'Group B Streptococcus and the vaginal microbiome among pregnant women: a systematic review (v0.1)'

Author: K Patras
Subjects: medicine.medical_specialty, Streptococcus, Obstetrics, business.industry, Vaginal microbiome, medicine, medicine.disease_cause, business, Group B
Published: 2021
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33. Adaptive Clustering-based Malicious Traffic Classification at the Network Edge

Author: Alec F. Diallo and Paul Patras
Subjects: Edge device, Computer science, business.industry, Deep learning, deep learning, Intrusion detection system, computer.software_genre, Constant false alarm rate, Traffic classification, Kernel (image processing), Adaptive system, kernel-based clustering, Data mining, Artificial intelligence, business, Cluster analysis, computer, network intrusion detection
Abstract: The rapid uptake of digital services and Internet of Things (IoT) technology gives rise to unprecedented numbers and diversification of cyber attacks, with which commonly-used rule-based Network Intrusion Detection Systems (NIDSs) are struggling to cope. Therefore, Artificial Intelligence (AI) is being exploited as second line of defense, since this methodology helps in extracting non-obvious patterns from network traffic and subsequently in detecting more confidently new types of threats. Cybersecurity is however an arms race and intelligent solutions face renewed challenges as attacks evolve while network traffic volumes surge. In this paper, we propose Adaptive Clustering-based Intrusion Detection (ACID), a novel approach to malicious traffic classification and a valid candidate for deployment at the network edge. ACID addresses the critical challenge of sensitivity to subtle changes in traffic features, which routinely leads to misclassification. We circumvent this problem by relying on low-dimensional embeddings learned with a lightweight neural model comprising multiple kernel networks that we introduce, which optimally separates samples of different classes. We empirically evaluate our approach with both synthetic and three intrusion detection datasets spanning 20 years, and demonstrate ACID consistently attains 100% accuracy and F1-score, and 0% false alarm rate, thereby significantly outperforming state-of-the-art clustering methods and NIDSs.
Published: 2021
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34. FPGA Architectures for Approximate Dense SLAM Computing

Author: Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis, Maria Rafaela Gkeka, and Alexandros Patras
Subjects: Computer engineering, Odometry, Computer science, business.industry, Approximation algorithm, Domain knowledge, Robotics, Granularity, Artificial intelligence, Simultaneous localization and mapping, MPSoC, business, Field-programmable gate array
Abstract: Simultaneous Localization and Mapping (SLAM) is the problem of constructing and continuously updating a map of an unknown environment while keeping track of an agent's trajectory within this environment. SLAM is widely used in robotics, navigation and odometry for augmented and virtual reality. In particular, dense SLAM algorithms construct and update the map at pixel granularity at a high computational and energy cost especially when operating under real-time constraints. Dense SLAM algorithms can be approximated, however care must be taken to ensure that these approximations do not prevent the agent from navigating correctly in the environment. Our work introduces and evaluates a plethora of embedded MPSoC FPGA designs for KinectFusion (a well-known dense SLAM algorithm), featuring a variety of optimizations and approximations, to highlight the interplay between SLAM performance and accuracy. Based on an extensive exploration of the design space, we show that properly designed approximations, which exploit SLAM domain knowledge and efficient management of FPGA resources, enable high-performance dense SLAM in embedded systems, at almost 28 fps, with high energy efficiency and without compromising agent tracking and map construction. An open source release of our implementations and data can be found in [1].
Published: 2021
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35. Cycle-Consistent Adversarial Networks and Fast Adaptive Bi-dimensional Empirical Mode Decomposition for Style Transfer

Author: Ioannis Kompatsiaris, Stefanos Vrochidis, Ioannis Patras, Konstantinos Ioannidis, Petros Alvanitopoulos, and Elissavet Batziou
Subjects: business.industry, Computer science, Computation, Mode (statistics), 02 engineering and technology, Iterative reconstruction, 010501 environmental sciences, 01 natural sciences, Measure (mathematics), Hilbert–Huang transform, Adaptive system, Pattern recognition (psychology), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, Spatial analysis, Algorithm, 0105 earth and related environmental sciences
Abstract: Recently, research endeavors have shown the potentiality of Cycle-Consistent Adversarial Networks (CycleGAN) in style transfer. In Cycle-Consistent Adversarial Networks, the consistency loss is introduced to measure the difference between the original images and the reconstructed in both directions, forward and backward. In this work, the combination of Cycle-Consistent Adversarial Networks with Fast and Adaptive Bidimensional Empirical Mode Decomposition (FABEMD) is proposed to perform style transfer on images. In the proposed approach the cycle-consistency loss is modified to include the differences between the extracted Intrinsic Mode Functions (BIMFs) images. Instead of an estimation of pixel-to-pixel difference between the produced and input images, the FABEMD is applied and the extracted BIMFs are involved in the computation of the total cycle loss. This method enriches the computation of the total loss in a content-to-content and style-to-style comparison by connecting the spatial information to the frequency components. The experimental results reveal that the proposed method is efficient and produces qualitative results comparable to state-of-the-art methods.
Published: 2021
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36. Ultraviolet Treatment of Opaque Liquid Foods: From Theory to Practice

Author: Ferdinando Crapulli, Ankit Patras, Brahmaiah Pendyala, and Manreet Singh Bhullar
Subjects: Optics, Opacity, business.industry, medicine, Environmental science, Theory to practice, medicine.disease_cause, business, Ultraviolet
Published: 2021
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37. The Increased Learning Effectiveness Through Strengthening Organizational Climate and Pedagogical Competency

Author: Virni Sahna Saefi, Hendarman, and Yuyun Elizabeth Patras
Subjects: Knowledge management, business.industry, Psychology, business, Organisation climate
Published: 2021
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38. Search and Explore Strategies for Interactive Analysis of Real-Life Image Collections with Unknown and Unique Categories

Author: Gisolf, F., Geradts, Z., Worring, M., Lokoč, J., Schoeffmann, K., Li, X., Patras, I., Skopal, T., Mezaris, V., Vrochidis, S., IvI Research (FNWI), Intelligent Sensory Information Systems (IVI, FNWI), Multimedia Analytics Lab (IvI, FNWI), Video & Image Sense Lab (IvI, FNWI), and Operations Management (ABS, FEB)
Subjects: Information retrieval, business.industry, Computer science, User modeling, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 020207 software engineering, 02 engineering and technology, Interactive analysis, Convolutional neural network, Image (mathematics), User studies, Ask price, Analytics, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business, Cluster analysis
Abstract: Many real-life image collections contain image categories that are unique to that specific image collection and have not been seen before by any human expert analyst nor by a machine. This prevents supervised machine learning to be effective and makes evaluation of such an image collection inefficient. Real-life collections ask for a multimedia analytics solution where the expert performs search and explores the image collection, supported by machine learning algorithms. We propose a method that covers both exploration and search strategies for such complex image collections. Several strategies are evaluated through an artificial user model. Two user studies were performed with experts and students respectively to validate the proposed method. As evaluation of such a method can only be done properly in a real-life application, the proposed method is applied on the MH17 airplane crash photo database on which we have expert knowledge. To show that the proposed method also helps with other image collections an image collection created with the Open Image Database is used. We show that by combining image features extracted with a convolutional neural network pretrained on ImageNet 1k, intelligent use of clustering, a well chosen strategy and expert knowledge, an image collection such as the MH17 airplane crash photo database can be interactively structured into relevant dynamically generated categories, allowing the user to analyse an image collection efficiently.
Published: 2021
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39. Use of failure-to-rescue to identify international variation in postoperative care in low-, middle- and high-income countries

Author: Ahmad T., Bouwman R. A., Grigoras I., Aldecoa C., Hofer C., Hoeft A., Holt P., Buhre W., Pearse R. M., Clavien P. -A., Demartines N., Grocott M., Haddow J., Moreno R., Pritchard N., Rhodes A., Wilson M., Ahmed T., Halliwell R., Shulman M., Myles P., Schmid W., Hiesmayr M., Wouters P., De Hert S., Lobo S., Beattie S., Wijeysundera D., Fang X., Rasmussen L., Futier E., Biais M., Venara A., Slim K., Sander M., Koulenti D., Arvaniti K., Chan M., Kulkarni A., Chandra S., Tantri A., Geddoa E., Abbas M., Della Rocca G., Sivasakthi D., Mansor M., Luna P., Bouwman A., Beavis V., Campbell D., Short T., Osinaike T., Matos R., Kirov M., Protsenko D., Biccard B., Chew M., Hubner M., Ditai J., Szakmany T., Fleisher L., Ferguson M., MacMahon M., Cherian R., Currow H., Kanathiban K., Gillespie D., Pathmanathan E., Phillips K., Reynolds J., Rowley J., Douglas J., Kerridge R., Garg S., Bennett M., Jain M., Alcock D., Terblanche N., Cotter R., Leslie K., Stewart M., Zingerle N., Clyde A., Hambidge O., Rehak A., Cotterell S., Huynh W. B. Q., McCulloch T., Ben-Menachem E., Egan T., Cope J., Fellinger P., Markus P., Haselberger S., Holaubek C., Lichtenegger P., Scherz F., Hoffer F., Cakova V., Eichwalder A., Fischbach N., Klug R., Schneider E., Vesely M., Wickenhauser R., Gernot K., Leitgeb M., Lang F., Toro N., Bauer M., Laengle F., Haberl C., Mayrhofer T., Trybus C., Buerkle C., Forstner K., Germann R., Rinoesl H., Schindler E., Trampitsch E., Bogner G., Dankl D., Duenser M., Fritsch G., Gradwohl I. -M., Hartmann A., Hoelzenbein T., Jaeger T., Landauer F., Lindl G., Lux M., Steindl J., Stundner O., Szabo C., Bidgoli J., Verdoodt H., Forget P., Kahn D., Lois F., Momeni M., Pregardien C., Pospiech A., Steyaert A., Veevaete L., De Kegel D., De Jongh K., Foubert L., Smitz C., Vercauteren M., Poelaert J., Van Mossevelde V., Abeloos J., Bouchez S., Coppens M., De Baerdemaeker L., Deblaere I., De Bruyne A., Fonck K., Heyse B., Jacobs T., Lapage K., Moerman A., Neckebroek M., Parashchanka A., Roels N., Van Den Eynde N., Vandenheuvel M., Van Limmen J., Vanluchene A., Vanpeteghem C., Wyffels P., Huygens C., Vandenbempt P., Van De Velde M., Dylst D., Janssen B., Schreurs E., Aleixo F. B., Candido K., Batista H. D., Guimaraes M., Guizeline J., Hoffmann J., Lobo F. R. M., Nascimento V., Nishiyama K., Pazetto L., Souza D., Rodrigues R. S., Dos Santos A. M. V., Jardim J., Sa Malbouisson L. M., Silva J., Do Nascimento P., Baio T. H., De Castro G. I. P., Oliveira H. R. W., Amendola C. P., Cardoso G., Ortega D., Brotto A. F., De Oliveira M. C., Rea-Neto A., Dias F., Travi M. E., Zerman L., Azambuja P., Knibel M. F., Martins A., Almeida W., Neto C. N., Tardelli M. A., Caser E., MacHado M., Aguzzoli C., Baldisserotto S., Tabajara F. B., Bettega F., Rodrigues L. H. C., De Gasperi J., Faina L., Nolasco M. F., Da Costa Fischer B. F., De Campos Ferreira M. F., Hartmann C., Kliemann M., Ribeiro G. L. H., Fraga J. M., Netto T. M., Pozza L. V., Wendling P. R., Azevedo C., Garcia J., Lopes M., Maia B., Maselli P., Melo R., Mendes W., Neves M., Ney J., Piras C., Applewhaite C., Carr A., Chow L., Duttchen K., Foglia J., Greene M., Hinther A., Houston K., McCormick T. J., Mikhayel J., Montasser S., Ragan A., Suen A., Woolsey A., Yu H. C., Funk D., Stephen D., Regina D., Heather D., Faisal D., Pridham J., Rowe B., Sampson S., Thiessen B., Zbitnew G., Bernard A., George R., Jones P., Moor R., Siddiqui N., Wolfer A., Tran D., Winch D., Dobson G., Montasser O., Hall R., Baghirzada L., Curley G., Dai S. Y., Hare G., Lee E., Shastri U., Tsui A., Yagnik A., Alvares D., Choi S., Dwyer H., Flores K., McCartney C., Somascanthan P., Carroll J., Pazmino-Canizares J., Ami N., Chan V., Perlas A., Argue R., Huang Y., Lavis K., Mayson K., Cao Y., Gao H., Hu T., Lv J., Yang J., Yang Y., Zhong Y., Zhou J., Zou X., He M., Li X., Luo D., Wang H., Yu T., Chen L., Wang L., Cai Y., Cao Z., Li Y., Lian J., Sun H., Wang S., Wang Z., Wang K., Zhu Y., Du X., Fan H., Fu Y., Huang L., Hwan H., Luo H., Qu P. -S., Tao F., Wang G., Zhang Y., Zhang X., Chen C., Wang W., Liu Z., Fan L., Tang J., Chen Y., Han Y., Huang C., Liang G., Shen J., Wang J., Yang Q., Zhen J., Zhou H., Chen J., Chen Z., Meng B., Ye H., Bi Y., Cao J., Guo F., Lin H., Liu Y., Lv M., Shi P., Song X., Sun C., Sun Y., Wang Y., Zhang M., Chen R., Hou J., Leng Y., Meng Q. -T., Qian L., Shen Z. -Y., Xia Z. -Y., Xue R., Zhao B., Zhou X. -J., Chen Q., Guo H., Guo Y., Qi Y., Wei J., Zhang W., Zheng L., Bao Q., Fei Y., Hu N., Hu X., Lei M., Lv X., Miao F., Ouyang L., Shen C., Wang D., Wu C., Xu L., Yuan J., Zhang L., Zhang H., Zhao J., Zhao C., Zhao L., Zheng T., Zhou D., Zhou C., Lu K., Zhao T., He C., Chen H., Chen S., Cheng B., He J., Jin L., Li C., Li H., Pan Y., Shi Y., Wen X. H., Wu S., Xie G., Zhang K., Lu X., Chen F., Liang Q., Lin X., Ling Y., Liu G., Tao J., Yang L., Cheng Z., Dai H., Feng Y., Hou B., Gong H., Hua C., Huang H., Huang J., Jiang Z., Li M., Lin J., Liu M., Liu W., Luo F., Ma L., Min J., Shi X., Song Z., Wan X., Xiong Y., Yang S., Zhang Q., Zhao W., Zhu X., Bai Y., Dai Q., Geng W., Han K., He X., Ji B., Jia D., Jin S., Li Q., Liang D., Luo S., Lwang L., Mo Y., Qi X., Qian M., Qin J., Ren Y., Xie J., Yan Y., Yao Y., Zhuang X., Ai Y., Du F., He L., Li Z., Li L., Meng S., Yuan Y., Zhang E., Zhang J., Zhao S., Ji Z., Pei L., Dong B., Li J., Miao Z., Mu H., Qin C., Su L., Wen Z., Xie K., Yu Y., Yuan F., Xiao W., Zhu Z., Fu K., Hu R., Huang S., Liang Y., Yu S., Guo Z., Jing Y., Tang N., Wu J., Yuan D., Zhang R., Zhao X., Bai H. -P., Liu C. -X., Liu F. -F., Ren W., Wang X. -L., Xu G. -J., Li B., Ou Y., Tang Y., Yao S., Zhang S., Kong C. -C., Liu B., Wang T., Lu B., Xia Y., Cai F., Chen P., Hu S., Xu Q., Hu L., Jing L., Liu Q., Dan Z., Qiu X., Ren Q., Tong Y., Wen Y., Wu Q., Xia J., Xiong X., Xu S., Yang T., Yin N., Zeng Q., Zhang B., Zheng K., Cang J., Fan Y., Fu S., Ge X., Guo B., Huang W., Jiang L., Jiang X., Shan Q., Wang F., Christiansen I. C., Granum S. N., Rasmussen B. S., Daugaard M., Gambhir R., Brandsborg B., Steingrimsdottir G. E., Jensen-Gadegaard P., Kovgaard K. O., Siegel H., Eskildsen K. Z., Gatke M. R., Wibrandt I., Heintzelmann S. B., Lange K. H. W., Lundsgaard R. S., Amstrup-Hansen L., Hovendal C., Larsen M., Lenstrup M., Kobborg T., Larsen J. R., Pedersen A. B., Smith S. H., Oestervig R. M., Afshari A., Andersen C., Ekelund K., Lilja E., Beloeil H., Lasocki S., Ouattara A., Sineus M., Molliex S., Legouge M. L., Wallet F., Tesniere A., Gaudin C., Lehur P., Forsans E., De Rudnicki S., Maudet V. S., Sojod G., Ouaissi M., Regimbeau J. -M., Desbordes J., Comptaer N., El Manser D., Ethgen S., Lebuffe G., Auer P., Hartl C., Deja M., Legashov K., Sonnemann S., Wiegand-Loehnert C., Falk E., Habicher M., Angermair S., Laetsch B., Schmidt K., Von Heymann C., Ramminger A., Jelschen F., Pabel S., Weyland A., Czeslick E., Gille J., Malcharek M., Sablotzki A., Lueke K., Wetzel P., Weimann J., Lenhart F. -P., Reichle F., Schirmer F., Huppe M., Klotz K., Nau C., Schon J., Mencke T., Wasmund C., Bankewitz C., Baumgarten G., Fleischer A., Guttenthaler V., Hack Y., Kirchgaessner K., Manner O., Schurig-Urbaniak M., Struck R., Van Rebekkazyl, Wittmann M., Goebel U., Harris S., Veit S., Andreadaki E., Souri F., Katsiadramis I., Skoufi A., Vasileiou M., Aimoniotou-Georgiou E., Katsourakis A., Veroniki F., Vlachogianni G., Petra K., Chlorou D., Oloktsidou E., Ourailoglou V., Papapostolou K., Tsaousi G., Daikou P., Dedemadi G., Kalaitzopoulos I., Loumpias C., Bristogiannis S., Dafnios N., Gkiokas G., Kontis E., Kozompoli D., Papailia A., Theodosopoulos T., Bizios C., Koutsikou A., Moustaka A., Plaitakis I., Armaganidis A., Christodoulopoulou T., Lignos M., Theodorakopoulou M., Asimakos A., Ischaki E., Tsagkaraki A., Zakynthinos S., Antoniadou E., Koutelidakis I., Lathyris D., Pozidou I., Voloudakis N., Dalamagka M., Elena G., Chronis C., Manolakaki D., Mosxogiannidis D., Slepova T., Tsakiridou I. -S., Lampiri C., Vachlioti A., Panagiotakis C., Sfyras D., Tsimpoukas F., Tsirogianni A., Axioti E., Filippopoulos A., Kalliafa E., Kassavetis G., Katralis P., Komnos I., Pilichos G., Ravani I., Totis A., Apagaki E., Efthymiadi A., Kampagiannis N., Paraforou T., Tsioka A., Georgiou G., Vakalos A., Bairaktari A., Charitos E., Markou G., Niforopoulou P., Papakonstantinou N., Tsigou E., Xifara A., Zoulamoglou M., Gkioni P., Karatzas S., Kyparissi A., Mainas E., Papapanagiotou I., Papavasilopoulou T., Fragandreas G., Georgopoulou E., Katsika E., Psarras K., Synekidou E., Verroiotou M., Vetsiou E., Zaimi D., Anagnou A., Apostolou K., Melissopoulou T., Rozenberg T., Tsigris C., Boutsikos G., Kalles V., Kotsalas N., Lavdaiou C., Paikou F., Panagou G. -L., Spring A., Botis I., Drimala M., Georgakakis G., Kiourtzieva E., Ntouma P., Prionas A., Xouplidis K., Dalampini E., Giannaki C., Iasonidou C., Ioannidis O., Lavrentieva A., Papageorgiou G., Kokkinoy M., Stafylaraki M., Gaitanakis S., Karydakis P., Paltoglou J., Ponireas P., Chaloulis P., Provatidis A., Sousana A., Gardikou V. V., Konstantivelli M., Lataniotou O., Lisari E., Margaroni M., Stamatiou K., Nikolaidis E., Pnevmatikos I., Sertaridou E., Andreou A., Arkalaki E., Athanasakis E., Chaniotaki F., Chatzimichali C. A., Christofaki M., Dermitzaki D., Fiorentza K., Frantzeskos G., Geromarkaki E., Kafkalaki K., Kalogridaki M., Karydi K., Kokkini S., Kougentakis G., Lefaki T., Lilitsis E., Makatounaki A., Malliotakis P., Michelakis D., Neonaki M., Nyktari V., Palikyra I., Papadakis E., Papaioannou A., Sfakianakis K., Sgouraki M., Souvatzis X., Spartinou A., Stefanidou N., Syrogianni P., Tsagkaraki G., Arnaoutoglou E., Arnaoutoglou C., Bali C., Bouris V., Doumos R., Gkini K. -P., Kapaktsi C., Koulouras V., Lena A., Lepida D., Michos E., Papadopoulos D., Paschopoulos M., Rompou V. A., Siouti I., Tsampalas S., Ververidou O., Zilis G., Charlalampidoy A., Christodoulidis G., Flossos A., Stamoulis K., Tsang M. S. C., Lai M. L., Yip C. P., Chan H. M. H., Law B., Li W. S., Chu H. M., Koo E. G. Y., Lam C. C. J., Cheng K. H., Lam T., Chu S., Lam W. Y., Wong K. W. K., Kwok D., Hung C. Y. J., Chan W. K. J., Wong W. L., Chung C. K. E., Ma S. K., Kaushik S., Shah B., Shah D., Shah S., Ar P., Muthuchellappan R., Agarwal V., Divatia J., Mishra S., Nimje G., Pande S., Savarkar S., Shrivastava A., Thomas M., Yegnaram S., Hidayatullah R., Puar N., Niman S., Indra I., Hamzah Z., Yuliana A., Abidin U. N., Dursin A. N., Kurnia A., Susanti A., Handayani D., Alit M. A., Arya A., Senapathi T. G. A., Utara U. H., Wid W. M., Wima S., Wir W. M., Jehosua B., Kaunang J., Lantang E. Y., Najoan R., Waworuntu N., Awad H., Fuad A., Geddoa B., Khalaf A. R., Al Hussaini S., Albaj S., Kenber M., Bettinelli A., Spadaro S., AlbertoVolta C., Giancarlo L., Sottosanti V., Copetti U. E., Spagnesi L., Toretti I., Alloj C., Cardellino S., Carmino L., Costanzo E., Fanfani L. C., Novelli M. T., Roasio A., Bellandi M. M., Beretta L., Bignami E., Bocchino S., Cabrini L., Corti D., Landoni G., Meroni R., Moizo E., Monti G., Pintaudi M., Plumari V. P., Taddeo D., Testa V., Winterton D., Zangrillo A., Cloro R. L. M., Colangelo C., Colangelo A., Rotunno G., Paludi M. A., Maria C. P., Pata A., Parrini V., Gatta A., Nastasi M., Tinti C., Baroselli A., Arrigo M., Benevento A., Bottini C., Cannavo M., Gastaldi C., Marchesi A., Pascazio A., Pata F., Pozzi E., Premoli A., Tessera G., Boschi L., D'Andrea R., Ghignone F., Poggioli G., Sibilio A., Taffurelli M., Ugolini G., Ab Majid M. A., Ab Rahman R., Joseph J., Pathan F., Shah M. H. S., Yap H. L., Cheah S., Chin I. I., Looi J. K., Tan S. C., Visvalingam S., Kwok F. Y., Lee C. K., Tan T. S., Wong S. M., Abdullah N. H., Liew C. F., Luxuman L., Mohd Zin N. H., Norddin M. F., Alias R. L. R., Wong J. Y., Yong J., Mustapha M. T. B., Chan W. K., Dzulkipli N., Kuan P. X., Lee Y. C., Alias A., Guok E. C., Jee C. C., Ramon B. R., Wong C. W., Abd Ghafar F. N. I., Aziz F. Z., Hussain N., Lee H. S., Sukawi I., Woon Y. L., Abd Hadi H. Z., Azam U. A. A., Alias A. H., Kesut S. A., Lee J. M., Ooi D. V., Sulaiman H. A., Lih T. A. T., Veerakumaran J., Rojas E., Resendiz G. E. A., Zapata D. D. M., Lopez J. C. J. A., Flores A. A. A., Amador J. C. B., Avila E. J. D., Aquino L. P. G., Rodriguez R. L., Landa M. T., Urias E., Hollmann M., Hulst A., Preckel O. K. B., Gemert A. K. -V., Buise M., Tolenaar N., Weber E., De Fretes J., Houweling P., Ormskerk P., Van Bommel J., Lance M., Smit-Fun V., Van Zundert T., Baas P., De Boer H. D., Sprakel J., Elferink-Vonk R., Noordzij P., Van Zeggeren L., Brand B., Spanjersberg R., Ten Bokkel-Andela J., Numan S., Van Klei W., Van Zaane B., Boer C., Van Duivenvoorde Y., Hering J. P., Van Rossum S., Zonneveldt H., Hoare S., Santa S., Ali M., Allen S. J., Bell R., Choi H. -M. D., Drake M., Farrell H., Hayes K., Higgie K., Holmes K., Jenkins N., Kim C. J., Kim S., Law K. 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B., Burrows T., Byrne K., English D., Johnson R., Manikkam B., Naidoo S., Rumball M., Whittle N., Franks R., Gibson-Lapsley H., Salter R., Walsh D., Richard D., Perry K., Obobolo A., Sule U. M., Ahmad A., Atiku M., Mohammed A. D., Sarki A. M., Adekola O., Akanmu O., Durodola A., Olukoju O., Raji V., Olajumoke T., Oyebamiji E., Adenekan A., Adetoye A., Faponle F., Olateju S., Owojuyigbe A., Talabi A., Adenike O., Adewale B., Collins N., Ezekiel E., Fatungase O. M., Grace A., Sola S., Stella O., Ademola A., Adeolu A. A., Adigun T., Akinwale M., Fasina O., Gbolahan O., Idowu O., Olonisakin R. P., Osinaike B. B., Asudo F., Mshelia D., Abdur-Rahman L., Agodirin O., Bello J., Bolaji B., Oyedepo O. O., Ezike H., Iloabachie I., Okonkwo I., Onuora E., Onyeka T., Ugwu I., Umeh F., Alagbe-Briggs O., Dodiyi-Manuel A., Echem R., Obasuyi B., Onajin-Obembe B., Bandeira M. E., Tome M., Costa A. C. M. M., Krystopchuk A., Branco T., Esteves S., Melo M. A., Monte J., Rua F., Martins I., Pinho-Oliveira V. M., Rodrigues C. M., Cabral R., Marques S., Rego S., Jesus J. S. T., Marques M. C., Romao C., Dias S., Santos A. M., Alves M. J., Salta C., Cruz S., Duarte C., Paiva A. A. F., Do Nascimento Cabral T., E Maia D. F., Da Silva R. F. M. C., Langner A., Resendes H. O., Da Conceicao Soares M., Abrunhosa A., Faria F., Miranda L., Pereira H., Serra S., Ionescu D., Margarit S., Mitre C., Vasian H., Manga G., Stefan A., Tomescu D., Daniela D., Paunescu M. -A., Stefan M., Stoica R., Gavril L., Patrascanu E., Ristescu I., Rusu D., Diaconescu C., Iosep G. F., Pulbere D., Ursu I., Balanescu A., Grintescu I., Mirea L., Rentea I., Vartic M., Lupu M. -N., Stanescu D., Streanga L., Antal O., Hagau N., Patras D., Petrisor C., Tosa F., Tranca S., Copotoiu S. M., Ungureanu L. L., Harsan C. R., Papurica M., Cernea D. D., Dragoescu N. A., Aflori L., Vaida C., Ciobotaru O. R., Aignatoaie M., Carp C. P., Cobzaru I., Mardare O., Purcarin B., Tutunaru V., Ionita V., Arustei M., Codita A., Busuioc M., Chilinciuc I., Ciobanu C., Belciu I., Tincu E., Blaj M., Grosu R. -M., Sandu G., Bruma D., Corneci D., Dutu M., Krepil A., Copaciu E., Dumitrascu C. O., Jemna R., Mihaescu F., Petre R., Tudor C., Ursache E., Kulikov A., Lubnin A., Grigoryev E., Pugachev S., Tolmasov A., Hussain A., Ilyina Y., Roshchina A., Iurin A., Chazova E., Dunay A., Karelov A., Khvedelidze I., Voldaeva O., Belskiy V., Dzhamullaev P., Grishkowez E., Kretov V., Levin V., Molkov A., Puzanov S., Samoilenko A., Tchekulaev A., Tulupova V., Utkin I., Allorto N. L., Bishop D. G., Builu P. M., Cairns C., Dasrath A., De Wet J., Den Hoedt M., Grey B., Hayes M. P., Kusel B. S., Shangase N., Wise R., Cacala S., Farina Z., Govindasamy V., Kruse C. -H., Lee C., Marais L., Naidoo T. D., Rajah C., Rodseth R. N., Ryan L., Von Rhaden R., Adam S., Alphonsus C., Ameer Y., Anderson F., Basanth S., Bechan S., Bhula C., Biccard B. M., Biyase T., Buccimazza I., Cardosa J., Daya B., Drummond L., Elabib A., Goad E. H. A., Goga I. E., Goga R., Harrichandparsad R., Hodgson R. E., Jordaan J., Kalafatis N., Kampik C., Landers A. T., Loots E., Madansein R., Madaree A., Madiba T. E., Manzini V. T., Mbuyisa M., Moodley R., Msomi M., Mukama I., Naidoo D., Naidoo R., Naidu T. K., Ntloko S., Padayachee E., Padayachee L., Phaff M., Pillay B., Pillay D., Pillay L., Ramnarain A., Ramphal S. R., Ryan P., Saloojee A., Sebitloane M., Sigcu N., Taylor J. L., Torborg A., Visser L., Anderson P., Conradie A., De Swardt M., De Villiers M., Eikman J., Liebenberg R., Mouton J., Paton A., Van Der Merwe L., Wilscott-Davids C., Barrett W. J., Bester M., De Beer J., Geldenhuys J., Gouws H., Potgieter J. -H., Strydom M., Turton E. W., Chetty R. R., Chirkut S., Cronje L., De Vasconcellos K., Dube N. Z., Gama N. S., Green G. M., Green-Thompson R., Kinoo S. M., Kistnasami P., Maharaj K., Moodley M. S., Mothae S. J., Noorbhai M. A. F., Rughubar V., Reddy J., Singh A., Skinner D. L., Smith M. J., Singh B., Misra R., Naidoo M., Ramdharee P., Selibea Y., Sewpersad S., Sham S., Wessels J. D., Africander C., Bejia T., Blakemore S. P., Botes M., Bunwarie B., Hernandez C. B., Jeeraz M. A., Legutko D. A., Lopez A. G., De Meyer J. N., Muzenda T., Naidoo N., Patel M., Pentela R., Junge M., Mansoor N., Rademan L., Scislowski P., Seedat I., Van Den Berg B., Van Der Merwe D., Van Wyk S., Govender K., Naicker D., Ramjee R., Saley M., Kuhn W. P., Matos-Puig R., Moolla Z., Lisi A., Perez G., Beltran A. V., Lozano A., Navarro C. D., Duca A., Ernesto E. P. M., Ferrando C., Fuentes I., Garcia-Perez M. L., Gracia E., Palomares A. I., Katime A., Minana A., Incertis R. R., Romero E., Garcia C. S. R., Rubio C., Artiles T. S., Soro M., Valls P., Laguarda G. A., Benavent P., Cuenca V. C., Cueva A., Lafuente M., Parra A. M., Rodrigo A. R., Sanchez-Morcillo S., Tormo S., Redondo F. J., De Andres Ibanez J. A., Diago L. G., Cadiz M. J. H., Manuel G. G., Peris R., Saiz C., Vivo J. T., Soto M. T. T., Brunete T., Cancho D., Garcia D. R. D., Zamudio D., Del Valle S. G., Serrano M. L., Alonso E., Anillo V., Maseda E., Salgado P., Suarez L., Suarez-De-La-Rica A., Villagran M. J., Alonso J. I., Cabezuelo E., Garcia-Saiz I., Del Moral O. L., Martin S., Gonzalez A. P., Doncel M. S. T., Vera M. A., Sanchez F. J. A., Castano B., Moreira B. C., Risco S. F., Martin D. P., Martin F. P., Poza P., Ruiz A., Martinez W. F. S., Vicente B. V., Dominguez S. V., Fernandez S., Munoz-Lopez A., Bernat M. J., Mas A., Planas K., Jawad M., Saeed Y., Hedin A., Levander H., Holmstrom S., Lonn D., Zoerner F., Akring I., Widmark C., Zettergren J., Liljequist V. A., Nystrom L., Odeberg-Wernerman S., Oldner A., Fagerlund M. J., Reje P., Lyckner S., Sperber J., Adolfsson A., Klarin B., O K., Barras J. -P., Buhrer T., Despotidis V., Helmy N., Holliger S., Raptis D. A., Schmid R., Meyer A., Jaquet Y., Kessler U., Muradbegovic M., Nahum S. 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K., Karpate S., O'Hara C., Troko J., Angus K., Bradley J., Brennan E., Brooks C., Brown J., Brown G., Finch A., Gratrix K., Hesketh S., Hill G., Jeffs C., Morgan M., Pemberton C., Slawson N., Spickett H., Swarbrick G., Van Duyvenvoorde G., Brennan A., Briscoe R., Cooper S., Lawton T., Northey M., Senaratne R., Stanworth H., Burrows L., Cain H., Craven R., Davies K., Jonas A., Pachucki M., Walkden G., Davies H., Gudaca M., Hobrok M., Arawwawala D., Fergey L., Gardiner M., Gunn J., Johnson L., Lofting A., Lyle A., Neela F. M., Smolen S., Topliffe J., Williams S., Bland M., Balaji P., Kaura V., Lanka P., Naylor C., Ahmed A., Myatt J., Shenoy R., Soon W. C., Tan J., Karadia S., Self J., Durant E., Tripathi S., Bullock C., Ghosh A., Hughes T., Zsisku L., Bengeri S., Cowton A., Khalid M. S., Limb J., McAdam C., Porritt M., Rafi M. 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W., Docherty P., Gillies M., McGregor E., Usher H., Craig J., Bodger P., Creary T., Everingham K., Fowler A., Hewson R., Ijuo E., Januszewska M., Jones T., Kantsedikas I., Lahiri S., McLean A. L., Niebrzegowska E., Phull M., Wickboldt N., Baldwin J., Doyle D., McMullan S., Oladapo M., Owen T., Williams A., Gregory P., Husain T., Kirk-Bayley J., Mathers E., Montague L., Harper M., Jack J., Ridley C., Avis J., Cook T., Dali-Kemmery L., Kerslake I., Lambourne V., Pearson A., Boyd C., Callaghan M., Lawson C., McCrossan R., Nesbitt V., O'Connor L., Sinclair R., Farid N., Morgese C., Bhatia K., Karmarkar S., Ahmed J., Branagan G., Hutton M., Swain A., Brookes J., Cornell J., Dolan R., Hulme J., Van Vuuren A. J., Jowitt T., Kalashetty G., Lloyd F., Kiran Patel, Sherwood N., Brown L., Chandler B., Deighton K., Emma T., Haunch K., Cheeseman M., Dent K., Gray C., Hood M., Jones D., Juj J., Rao R., Walker T., Al Anizi M., Cheah C., Cheing Y., Coutinho F., Gondo P., Hadebe B., Hove M. 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Subjects: operative, Male, Pediatrics, GLOBAL HEALTH, Cohort Studies, 0302 clinical medicine, Postoperative Complications, 030202 anesthesiology, surgical procedures, operative, mortality, Health care, statistics and numerical data, 030212 general & internal medicine, Hospital Mortality, Prospective Studies, Prospective cohort study, Aged, 80 and over, HIGH-RISK SURGERY, COMPLICATIONS, OUTCOMES, Incidence (epidemiology), Middle Aged, PATIENT MORTALITY, Female, SURGICAL MORTALITY, Cohort study, Adult, medicine.medical_specialty, methods, 03 medical and health sciences, Anesthesiology, medicine, QUALITY, Humans, Elective surgery, postoperative care, statistics and numerical data, Aged, Quality of Health Care, Postoperative Care, business.industry, Postoperative complication, mortality, CANCER-SURGERY, surgical procedures, Anesthesiology and Pain Medicine, Logistic Models, VOLUME, postoperative care, methods, Human medicine, Complication, business
Abstract: Background.The incidence and impact of postoperative complications are poorly described. Failure-to-rescue, the rate of death following complications, is an important quality measure for perioperative care but has not been investigated across multiple health care systems.Methods.We analysed data collected during the International Surgical Outcomes Study, an international 7-day cohort study of adults undergoing elective inpatient surgery. Hospitals were ranked by quintiles according to surgical procedural volume (Q1 lowest to Q5 highest). For each quintile we assessed in-hospital complications rates, mortality, and failure-to-rescue. We repeated this analysis ranking hospitals by risk-adjusted complication rates (Q1 lowest to Q5 highest).Results.A total of 44 814 patients from 474 hospitals in 27 low-, middle-, and high-income countries were available for analysis. Of these, 7508 (17%) developed one or more postoperative complication, with 207 deaths in hospital (0.5%), giving an overall failure-to-rescue rate of 2.8%. When hospitals were ranked in quintiles by procedural volume, we identified a three-fold variation in mortality (Q1: 0.6% vs Q5: 0.2%) and a two-fold variation in failure-to-rescue (Q1: 3.6% vs Q5: 1.7%). Ranking hospitals in quintiles by risk-adjusted complication rate further confirmed the presence of important variations in failure-to-rescue, indicating differences between hospitals in the risk of death among patients after they develop complications.Conclusions.Comparison of failure-to-rescue rates across health care systems suggests the presence of preventable postoperative deaths. Using such metrics, developing nations could benefit from a data-driven approach to quality improvement, which has proved effective in high-income countries.
Published: 2017
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40. The surgical safety checklist and patient outcomes after surgery

Author: T.E.F. Abbott, T. Ahmad, M.K. Phull, A.J. Fowler, R. Hewson, B.M. Biccard, M.S. Chew, M. Gillies, R.M. Pearse, Rupert M. Pearse, Scott Beattie, Pierre-Alain Clavien, Nicolas Demartines, Lee A. Fleisher, Mike Grocott, James Haddow, Andreas Hoeft, Peter Holt, Rui Moreno, Naomi Pritchard, Andrew Rhodes, Duminda Wijeysundera, Matt Wilson, Tahania Ahmed, Kirsty Everingham, Russell Hewson, Marta Januszewska, Mandeep-Kaur Phull, Richard Halliwell, Mark Shulman, Paul Myles, Werner Schmid, Michael Hiesmayr, Patrick Wouters, Stefan de Hert, Suzana Lobo, Xiangming Fang, Lars Rasmussen, Emmanuel Futier, Matthieu Biais, Aurélien Venara, Karem Slim, Michael Sander, Despoina Koulenti, Kostoula Arvaniti, Mathew Chan, Atul Kulkarni, Susilo Chandra, Aida Tantri, Emad Geddoa, Muntadhar Abbas, Giorgio Della Rocca, Datin Sivasakthi, Marzida Mansor, Pastor Luna, Arthur Bouwman, Wolfgang Buhre, Vanessa Beavis, Douglas Campbell, Tim Short, Tunde Osinaike, Ricardo Matos, Ioana Grigoras, Mikhail Kirov, Denis Protsenko, Bruce Biccard, Cesar Aldecoa, Michelle Chew, Christoph Hofer, Martin Hubner, James Ditai, Tamas Szakmany, Lee Fleisher, Marissa Ferguson, Michael MacMahon, Ritchie Cherian, Helen Currow, Kathirgamanathan Kanathiban, David Gillespie, Edward Pathmanathan, Katherine Phillips, Jenifer Reynolds, Joanne Rowley, Jeanene Douglas, Ross Kerridge, Sameer Garg, Michael Bennett, Megha Jain, David Alcock, Nico Terblanche, Rochelle Cotter, Kate Leslie, Marcelle Stewart, Nicolette Zingerle, Antony Clyde, Oliver Hambidge, Adam Rehak, Sharon Cotterell, Wilson Binh Quan Huynh, Timothy McCulloch, Erez Ben-Menachem, Thomas Egan, Jennifer Cope, Paul Fellinger, Markus Haisjackl, Simone Haselberger, Caroline Holaubek, Paul Lichtenegger, Florian Scherz, Franz Hoffer, Veronika Cakova, Andreas Eichwalder, Norbert Fischbach, Reinhold Klug, Elisabeth Schneider, Martin Vesely, Reinhart Wickenhauser, Karl Gernot Grubmueller, Marion Leitgeb, Friedrich Lang, Nancy Toro, Marlene Bauer, Friedrich Laengle, Claudia Haberl, Thomas Mayrhofer, Christoph Trybus, Christian Buerkle, Karin Forstner, Reinhard Germann, Harald Rinoesl, Elke Schindler, Ernst Trampitsch, Gerhard Bogner, Daniel Dankl, Martin 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Jaqueline Guizeline, João Hoffmann, Francisco Ricardo Marques Lobo, Vinícius Nascimento, Katia Nishiyama, Lucas Pazetto, Daniela Souza, Rodrigo Souza Rodrigues, Ana Maria Vilela dos Santos, Jaquelline Jardim, Luiz Marcelo Sá Malbouisson, Joao Silva, Paulo do Nascimento Junior, Thalissa Hermínia Baio, Gabriel Isaac Pereira de Castro, Henri Roger Watanabe Oliveira, Cristina Prata Amendola, Gutemberg Cardoso, Daniela Ortega, Ana Flavia Brotto, Mirella Cristine De Oliveira, Álvaro Réa-Neto, Fernando Dias, Maria Eduarda Travi, Luiza Zerman, Pedro Azambuja, Marcos Freitas Knibel, Antonio Martins, William Almeida, Calim Neder Neto, Maria Angela Tardelli, Eliana Caser, Marcio Machado, Crisitiano Aguzzoli, Sérgio Baldisserotto, Fernanda Beck Tabajara, Fernanda Bettega, La Hore Correa Rodrigues Júnior, Julia de Gasperi, Lais Faina, Marcos Farias Nolasco, Bruna Ferreira da Costa Fischer, Mariana Fosch de Campos Ferreira, Cristina Hartmann, Marta Kliemann, Gustavo Luis Hubert Ribeiro, Julia 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Alexandra Papaioannou, Konstantinos Sfakianakis, Maria Sgouraki, Xenia Souvatzis, Anastasia Spartinou, Nefeli Stefanidou, Paulina Syrogianni, Georgia Tsagkaraki, Elena Arnaoutoglou, Christina Arnaoutoglou, Christina Bali, Vasilios Bouris, Rodamanthos Doumos, Konstantia-Paraskevi Gkini, Clio Kapaktsi, Vasilios Koulouras, Arian Lena, Dimitra Lepida, Evangelos Michos, Dimitrios Papadopoulos, Minas Paschopoulos, Vaia Aliki Rompou, Ioanna Siouti, Stavros Tsampalas, Ourania Ververidou, Georgios Zilis, Alexandra Charlalampidoy, Gregory Christodoulidis, Andreas Flossos, Konstantinos Stamoulis, Matthew Chan, Man Shing Caleb Tsang, Man Shing Tsang, Man Ling Lai, Chi Pang Yip, Hey Man Heymans Chan, Bassanio Law, Wing Sze Li, Hiu Man Chu, Emily Gar Yee Koo, Chi Cheong Joe Lam, Ka Ho Cheng, Tracy Lam, Susanna Chu, Wing yan Lam, Kin Wai Kevin Wong, Dilys Kwok, Ching Yue Janice Hung, Wai Kit Jacky Chan, Wing Lam Wong, Chun Kwong Eric Chung, Shu Kai Ma, Shuchi Kaushik, Bhagyesh Shah, Dhiren Shah, Sanjay Shah, Praburaj Ar, Radhakrishnan Muthuchellappan, Vandana Agarwal, Jigeeshu Divatia, Sanghamitra Mishra, Ganesh Nimje, Swati Pande, Sukhada Savarkar, Aditi Shrivastava, Martin Thomas, Shashikant Yegnaram, Rahmat Hidayatullah, Nasman Puar, Sumara Niman, Imai Indra, Zulkarnain Hamzah, Annika Yuliana, Ucu Nurhadiat Abidin, Ade Nurkacan Dursin, Andri Kurnia, Ade Susanti, Dini Handayani, Mahaalit Aribawa Alit, Aryabiantara Arya, Tjokorda Gde Agung Senapathi, Utara Hartawan Utara, Widnyana Made Wid, Semarawima Wima, Wiryana Made Wir, Brillyan Jehosua, Jonathan Kaunang, Eka Yudha Lantang, Rini Najoan, Neil Waworuntu, Hadi Awad, Akram Fuad, Burair Geddoa, Abdel Razzaq Khalaf, Sabah Al hussaini, Safauldeensalem Albaj, Maithem Kenber, Alessandra Bettinelli, Savino Spadaro, Carlo AlbertoVolta, Luigi Giancarlo, Vicari Sottosanti, Elisa Copetti, Lorenzo Spagnesi, Ilaria Toretti, Chiara Alloj, Silvano Cardellino, Livio Carmino, Eleonora Costanzo, Lucia Caterina Fanfani, Maria Teresa Novelli, 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Thomas, Joanne Thunder, Andrew Torrance, Ravinder Vohra, null Arlo whitehouse, Tony Wong, Mark Blunt, Kate Wong, Julian Giles, Isabelle Reed, Debbie Weller, Gillian Bell, Julie Birch, Rose Damant, Jane Maiden, Clare Mewies, Claire Prince, Jane Radford, Tim Reynolds, Birender Balain, Robin Banerjee, Andrew Barnett, Ben Burston, Kirsty Davies, Jayne Edwards, Chris Evans, David Ford, Pete Gallacher, Simon Hill, David Jaffray, Sudheer Karlakki, Cormac Kelly, Julia Kennedy, Nigel Kiely, Simon Lewthwaite, Chris Marquis, Matthew Ockendon, Stephen Phillips, Simon Pickard, James Richardson, Richard Roach, Tony Smith, Richard Spencer-Jones, Niall Steele, Julie Steen, Marck Van Liefland, Steve White, Matthew Faulds, Meredyth Harris, Carrie Kelly, Scott Nicol, Sally Anne Pearson, Srikanth Chukkambotla, Alyson Andrew, Elizabeth Attrill, Graham Campbell, Amanda Datson, Anna Fouracres, Juan Graterol, Lynne Graves, Bosun Hong, Alexander Ishimaru, Arvind Karthikeyan, Helen King, Tom Lawson, Gregory 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Ian Wrench, Lisa Zeidan, Diane Ardern, Benjamin Harris, Johanna Hellstrom, Jane Martin, Richard Thomas, Nimu Varsani, Caroline Wrey Brown, Philip Docherty, Michael Gillies, Euan McGregor, Helen Usher, Jayne Craig, Andrew Smith, Tahania Ahmad, Phoebe Bodger, Thais Creary, Alexander Fowler, Russ Hewson, Eke Ijuo, Timothy Jones, Ilya Kantsedikas, Sumitra Lahiri, Aaron Lawson McLean, Edyta Niebrzegowska, Mandeep Phull, Difei Wang, Nadine Wickboldt, Jacqueline Baldwin, Donna Doyle, Sean Mcmullan, Michelle Oladapo, Thomas Owen, Alexandra Williams, Hull Daniel, Peter Gregory, Tauqeer Husain, Justin Kirk-Bayley, Edward Mathers, Laura Montague, Mark Harper, Stuart White, James Jack, Carrie Ridley, Joanne Avis, Tim Cook, Lola Dali-Kemmery, Ian Kerslake, Victoria Lambourne, Annabel Pearson, Christine Boyd, Mark Callaghan, Cathy Lawson, Roopa McCrossan, Vanessa Nesbitt, Laura O'connor, Julia Scott, Rhona Sinclair, Nahla Farid, Ciro Morgese, Kailash Bhatia, Swati Karmarkar, Jamil Ahmed, Graham Branagan, Monica Hutton, Andrew Swain, Jamie Brookes, Jonathan Cornell, Rachael Dolan, Jonathan Hulme, Amanda Jansen van Vuuren, Tom Jowitt, Gunasheela Kalashetty, Fran Lloyd, Kiran Patel, Nicholas Sherwood, Lynne Brown, Ben Chandler, Kerry Deighton, Temlett Emma, Kirsty Haunch, Michelle Cheeseman, Kathy Dent, Sanjeev Garg, Carol Gray, Marion Hood, Dawn Jones, Joanne Juj, Roshan Rao, Tara Walker, Mashel Al Anizi, Clarissa Cheah, Yushio Cheing, Francisco Coutinho, Prisca Gondo, Bernard Hadebe, Mazvangu Onie Hove, null Ahamed khader, Bobby Krishnachetty, Karen Rhodes, Jagdish Sokhi, Katie-Anne Baker, Wendy Bertram, Alex Looseley, Ronelle Mouton, George Hanna, Glenn Arnold, Shobhit Arya, Danai Balfoussia, Linden Baxter, James Harris, Craig Jones, Alison Knaggs, Sheraz Markar, Anisha Perera, Alasdair Scott, Asako Shida, Ravneet Sirha, Sally Wright, Victoria Frost, Catherine Gray, Emma Andrews, Lindsay Arrandale, Stephen Barrett, Elna Cifra, Mariese Cooper, Dragos Dragnea, Cifra Elna, Jennifer Maclean, Sonja Meier, Donald Milliken, Christopher Munns, Nadir Ratanshi, Suneil Ramessur, Abegail Salvana, Anthony Watson, Hani Ali, Gill Campbell, Rebecca Critchley, Simon Endersby, Catherine Hicks, Alison Liddle, Marc Pass, Charlotte Ritchie, Charlotte Thomas, Lingxi Too, Sarah Welsh, Talvinder Gill, Joanne Johnson, Joanne Reed, Edward Davis, Sam Papadopoullos, Clare Attwood, Andrew Biffen, Kerenza Boulton, Sophie Gray, David Hay, Sarah Mills, Jane Montgomery, Rory Riddell, James Simpson, Neeraj Bhardwaj, Elaine Paul, Nosakhare Uwubamwen, Maini Alexander, James Arrich, Swarna Arumugam, Douglas Blackwood, Victoria Boggiano, Robyn Brown, Yik Lam Chan, Devnandan Chatterjee, Ashok Chhabra, Rachel Christian, Hannah Costelloe, Madeline Coxwell Matthewman, Emma Dalton, Julia Darko, Maria Davari, Tejal Dave, Matthew Deacon, Shantal Deepak, Holly Edmond, Jessica Ellis, Ahmed El-Sayed, Philip Eneje, Rose English, Renee Ewe, William Foers, John Franklin, Laura Gallego, Emily Garrett, Olivia Goldberg, Harry Goss, Rosanna Greaves, Rudy Harris, Charles Hennings, Eleanor Jones, Nelson Kamali, Naomi Kokkinos, Carys Lewis, Leda Lignos, Evaleen Victoria Malgapo, Rizwana Malik, Andrew Milne, John-Patrick Mulligan, Philippa Nicklin, Natasha Palipane, Thomas Parsons, Rebecca Piper, Rohan Prakash, Byron Ramesh, Sarah Rasip, Jacob Reading, Mariam Rela, Anna Reyes, Robert Stephens, Martin Rooms, Karishma Shah, Henry Simons, Shalil Solanki, Emma Spowart, Amy Stevens, Christopher Thomas, Helena Waggett, Arrash Yassaee, Anthony Kennedy, Sara Scott, Sameer Somanath, Andrew Berg, Miguel Hernandez, Rajesh Nanda, Ghanshyambhai Tank, Natalie Wilson, Debbie Wilson, Yassr Al-Soudaine, Matthew Baldwin, Julie Cornish, Zoe Davies, Leigh Davies, Marc Edwards, Natasha Frewer, Sian Gallard, James Glasbey, Rhiannon Harries, Luke Hopkins, Taeyang Kim, Vilavan Koompirochana, Simon Lawson, Megan Lewis, Zaid Makzal, Sarah Scourfield, Yousra Ahmad, Sarah Bates, Clare Blackwell, Helen Bryant, Hannah 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Queen Mary University of London (QMUL), Royal Free Hospital [London, UK], NHS Foundation Trust [London], The Royal Marsden, University of Cape Town, Linköping university hospital, University of Edinburgh, Abbott, T E F, Ahmad, T, Phull, M K, Fowler, A J, Hewson, R, Biccard, B M, Chew, M S, Gillies, M, Pearse RM, Beattie S, Clavien PA, Demartines N, Fleisher LA, Grocott M, Haddow J, Hoeft A, Holt P, Moreno R, Pritchard N, Rhodes A, Wijeysundera D, Wilson M, Ahmed T, Everingham K, Hewson R, Januszewska M, Phull MK, Halliwell R, Shulman M, Myles P, Schmid W, Hiesmayr M, Wouters P, de Hert S, Lobo S, Fang X, Rasmussen L, Futier E, Biais M, Venara A, Slim K, Sander M, Koulenti D, Arvaniti K, Chan M, Kulkarni A, Chandra S, Tantri A, Geddoa E, Abbas M, Della Rocca G, Sivasakthi D, Mansor M, Luna P, Bouwman A, Buhre W, Beavis V, Campbell D, Short T, Osinaike T, Matos R, Grigoras I, Kirov M, Protsenko D, Biccard B, Aldecoa C, Chew M, Hofer C, Hubner M, Ditai J, Szakmany T, Fleisher L, Ferguson 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Kliemann M, Hubert Ribeiro GL, Fraga JM, Netto TM, Pozza LV, Wendling PR, Azevedo C, Garcia J, Lopes M, Maia B, Maselli P, Melo R, Mendes W, Neves M, Ney J, Piras C, Applewhaite C, Carr A, Chow L, Duttchen K, Foglia J, Greene M, Hinther A, Houston K, McCormick TJ, Mikhayel J, Montasser S, Ragan A, Suen A, Woolsey A, Yu HC, Funk D, Kowalski S, Legaspi R, McDonald H, Siddiqui F, Pridham J, Rowe B, Sampson S, Thiessen B, Zbitnew G, Bernard A, George R, Jones P, Moor R, Siddiqui N, Wolfer A, Tran D, Winch D, Dobson G, McCormick T, Montasser O, Hall R, Baghirzada L, Curley G, Dai SY, Hare G, Lee E, Shastri U, Tsui A, Yagnik A, Alvares D, Choi S, Dwyer H, Flores K, McCartney C, Somascanthan P, Carroll J, Pazmino-Canizares J, Wolfer A, Ami N, Chan V, Perlas A, Argue R, Huang Y, Lavis K, Mayson K, Cao Y, Gao H, Hu T, Lv J, Yang J, Yang Y, Zhong Y, Zhou J, Zou X, He M, Li X, Luo D, Wang H, Yu T, Chen L, Wang L, Cai Y, Cao Z, Li Y, Lian J, Sun H, Wang S, Wang Z, Wang K, Zhu Y, Du X, Fan H, Fu Y, Huang L, Huang Y, Hwan H, Luo H, Qu PS, Tao F, Wang Z, Wang G, Wang S, Zhang Y, Zhang X, Chen C, Wang W, Liu Z, Fan L, Tang J, Chen Y, Chen Y, Han Y, Huang C, Liang G, Shen J, Wang J, Yang Q, Zhen J, Zhou H, Chen J, Chen Z, Li X, Meng B, Ye H, Zhang X, Bi Y, Cao J, Guo F, Lin H, Liu Y, Lv M, Shi P, Song X, Sun C, Sun Y, Wang Y, Wang S, Zhang M, Chen R, Hou J, Leng Y, Meng QT, Qian L, Shen ZY, Xia ZY, Xue R, Zhang Y, Zhao B, Zhou XJ, Chen Q, Guo H, Guo Y, Qi Y, Wang Z, Wei J, Zhang W, Zheng L, Bao Q, Chen Y, Chen Y, Fei Y, Hu N, Hu X, Lei M, Li X, Lv X, Miao F, Ouyang L, Qian L, Shen C, Sun Y, Wang Y, Wang D, Wu C, Xu L, Yuan J, Zhang L, Zhang H, Zhang Y, Zhao J, Zhao C, Zhao L, Zheng T, Zhou D, Zhou H, Zhou C, Lu K, Zhao T, He C, Chen H, Chen S, Cheng B, He J, Jin L, Li C, Li H, Pan Y, Shi Y, Wen XH, Wu S, Xie G, Zhang K, Zhao B, Lu X, Chen F, Liang Q, Lin X, Ling Y, Liu G, Tao J, Yang L, Zhou J, Chen F, Cheng Z, Dai H, Feng Y, Hou B, Gong H, Hu CH, Huang H, Huang J, Jiang Z, Li M, Lin J, Liu M, Liu W, Liu Z, Liu Z, Luo F, Ma L, Min J, Shi X, Song Z, Wan X, Xiong Y, Xu L, Yang S, Zhang Q, Zhang H, Zhang H, Zhang X, Zhao L, Zhao W, Zhao W, Zhu X, Bai Y, Chen L, Chen S, Dai Q, Geng W, Han K, He X, Huang L, Ji B, Jia D, Jin S, Li Q, Liang D, Luo S, Lwang L, Mo Y, Pan Y, Qi X, Qian M, Qin J, Ren Y, Shi Y, Wang J, Wang J, Wang L, Xie J, Yan Y, Yao Y, Zhang M, Zhao J, Zhuang X, Ai Y, Du F, He L, Huang L, Li Z, Li H, Li Y, Li L, Meng S, Yuan Y, Zhang E, Zhang J, Zhao S, Ji Z, Pei L, Wang L, Chen C, Dong B, Li J, Miao Z, Mu H, Qin C, Su L, Wen Z, Xie K, Yu Y, Yuan F, Hu X, Zhang Y, Xiao W, Zhu Z, Dai Q, Fu K, Hu R, Hu X, Huang S, Li Y, Liang Y, Yu S, Guo Z, Jing Y, Tang N, Wu J, Yuan D, Zhang R, Zhao X, Li Y, Bai HP, Liu CX, Liu FF, Ren W, Wang XL, Xu GJ, Hu N, Li B, Ou Y, Tang Y, Yao S, Zhang S, Kong CC, Liu B, Wang T, Xiao W, Lu B, Xia Y, Zhou J, Cai F, Chen P, Hu S, Wang H, Xu Q, Hu L, Jing L, Li B, Liu Q, Liu Y, Lu X, Peng ZD, Qiu X, Ren Q, Tong Y, Wang J, Wen Y, Wu Q, Xia J, Xie J, Xiong X, Xu S, Yang T, Ye H, Yin N, Yuan J, Zeng Q, Zhang B, Zheng K, Cang J, Chen S, Fan Y, Fu S, Ge X, Guo B, Huang W, Jiang L, Jiang X, Liu Y, Pan Y, Ren Y, Shan Q, Wang J, Wang F, Wu C, Zhang X, Christiansen IC, Granum SN, Rasmussen BS, Daugaard M, Gambhir R, Brandsborg B, Steingrímsdóttir GE, Jensen-Gadegaard P, Olsen KS, Siegel H, Eskildsen KZ, Gätke MR, Wibrandt I, Heintzelmann SB, Wiborg Lange KH, Lundsgaard RS, Amstrup-Hansen L, Hovendal C, Larsen M, Lenstrup M, Kobborg T, Larsen JR, Pedersen AB, Smith SH, Oestervig RM, Afshari A, Andersen C, Ekelund K, Secher EL, Beloeil H, Lasocki S, Ouattara A, Sineus M, Molliex S, Legouge ML, Wallet F, Tesniere A, Gaudin C, Lehur P, Forsans E, de Rudnicki S, Maudet VS, Mutter D, Sojod G, Ouaissi M, Regimbeau JM, Desbordes J, Comptaer N, Manser DE, Ethgen S, Lebuffe G, Auer P, Härtl C, Deja M, Legashov K, Sonnemann S, Wiegand-Loehnert C, Falk E, Habicher M, Angermair S, Laetsch B, Schmidt K, Von Heymann C, Ramminger A, Jelschen F, Pabel S, Weyland A, Czeslick E, Gille J, Malcharek M, Sablotzki A, Lueke K, Wetzel P, Weimann J, Lenhart FP, Reichle F, Schirmer F, Hüppe M, Klotz K, Nau C, Schön J, Mencke T, Wasmund C, Bankewitz C, Baumgarten G, Fleischer A, Guttenthaler V, Hack Y, Kirchgaessner K, Männer O, Schurig-Urbaniak M, Struck R, van Zyl R, Wittmann M, Goebel U, Harris S, Veit S, Andreadaki E, Souri F, Katsiadramis I, Skoufi A, Vasileiou M, Aimoniotou-Georgiou E, Katsourakis A, Veroniki F, Vlachogianni G, Petra K, Chlorou D, Oloktsidou E, Ourailoglou V, Papapostolou K, Tsaousi G, Daikou P, Dedemadi G, Kalaitzopoulos I, Loumpias C, Bristogiannis S, Dafnios N, Gkiokas G, Kontis E, Kozompoli D, Papailia A, Theodosopoulos T, Bizios C, Koutsikou A, Moustaka A, Plaitakis I, Armaganidis A, Christodoulopoulou T, Lignos M, Theodorakopoulou M, Asimakos A, Ischaki E, Tsagkaraki A, Zakynthinos S, Antoniadou E, Koutelidakis I, Lathyris D, Pozidou I, Voloudakis N, Dalamagka M, Elena G, Chronis C, Manolakaki D, 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Ponireas P, Chaloulis P, Provatidis A, Sousana A, Gardikou VV, Konstantivelli M, Lataniotou O, Lisari E, Margaroni M, Stamatiou K, Nikolaidis E, Pnevmatikos I, Sertaridou E, Andreou A, Arkalaki E, Athanasakis E, Chaniotaki F, Chatzimichali CA, Christofaki M, Dermitzaki D, Fiorentza K, Frantzeskos G, Geromarkaki E, Kafkalaki K, Kalogridaki M, Karydi K, Kokkini S, Kougentakis G, Lefaki T, Lilitsis E, Makatounaki A, Malliotakis P, Michelakis D, Neonaki M, Nyktari V, Palikyra I, Papadakis E, Papaioannou A, Sfakianakis K, Sgouraki M, Souvatzis X, Spartinou A, Stefanidou N, Syrogianni P, Tsagkaraki G, Arnaoutoglou E, Arnaoutoglou C, Bali C, Bouris V, Doumos R, Gkini KP, Kapaktsi C, Koulouras V, Lena A, Lepida D, Michos E, Papadopoulos D, Paschopoulos M, Rompou VA, Siouti I, Tsampalas S, Ververidou O, Zilis G, Charlalampidoy A, Christodoulidis G, Flossos A, Stamoulis K, Chan M, Tsang MSC, Tsang MS, Lai ML, Yip CP, Heymans Chan HM, Law B, Li WS, Chu HM, Koo EGY, Lam CCJ, Cheng KH, Lam T, Chu S, Lam WY, Wong KWK, Kwok D, Hung CYJ, Chan WKJ, Wong WL, Chung CKE, Ma SK, Kaushik S, Shah B, Shah D, Shah S, Ar P, Muthuchellappan R, Agarwal V, Divatia J, Mishra S, Nimje G, Pande S, Savarkar S, Shrivastava A, Thomas M, Yegnaram S, Hidayatullah R, Puar N, Niman S, Indra I, Hamzah Z, Yuliana A, Abidin UN, Dursin AN, Kurnia A, Susanti A, Handayani D, Alit MA, Arya A, Senapathi TGA, Utara UH, Wid WM, Wima S, Wir WM, Jehosua B, Kaunang J, Lantang EY, Najoan R, Waworuntu N, Awad H, Fuad A, Geddoa B, Khalaf AR, Al Hussaini S, Albaj S, Kenber M, Bettinelli A, Spadaro S, AlbertoVolta C, Giancarlo L, Sottosanti V, Copetti E, Spagnesi L, Toretti I, Alloj C, Cardellino S, Carmino L, Costanzo E, Fanfani LC, Novelli MT, Roasio A, Bellandi M, Beretta L, Bignami E, Bocchino S, Cabrini L, Corti D, Landoni G, Meroni R, Moizo E, Monti G, Pintaudi M, Plumari VP, Taddeo D, Testa V, Winterton D, Zangrillo A, Cloro LM, Colangelo C, Colangelo A, Rotunno G, Paludi MA, Maria CP, Pata A, Parrini V, Gatta A, 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M, Shah K, Simons H, Solanki S, Spowart E, Stevens A, Thomas C, Waggett H, Yassaee A, Kennedy A, Scott S, Somanath S, Berg A, Hernandez M, Nanda R, Tank G, Wilson N, Wilson D, Al-Soudaine Y, Baldwin M, Cornish J, Davies Z, Davies L, Edwards M, Frewer N, Gallard S, Glasbey J, Harries R, Hopkins L, Kim T, Koompirochana V, Lawson S, Lewis M, Makzal Z, Scourfield S, Ahmad Y, Bates S, Blackwell C, Bryant H, Collins H, Coulter S, Cruickshank R, Daniel S, Daubeny T, Edwards M, Golder K, Hawkins L, Helen B, Hinxman H, Levett D, Salmon K, Seaward L, Skinner B, Tyrell B, Wadams B, Walsgrove J, Dickson J, Constantin K, Karen M, O'Brien P, O'Donohoe L, Payne H, Sundayi S, Walker E, Brooke J, Cardy J, Humphreys S, Kessack L, Kubitzek C, Kumar S, Cotterill D, Hodzovic E, Hosdurga G, Miles E, Saunders G, Campbell M, Chan P, Jemmett K, Raj A, Naik A, Oshowo A, Ramamoorthy R, Shah N, Sylvan A, Blyth K, Burtenshaw A, Freeman D, Johnson E, Lo P, Martin T, Plunkett E, Wollaston J, Allison J, Carroll C, Craw N, Craw S, Pitt-Kerby T, Rowland-Axe R, Spurdle K, McDonald A, Simon D, Sinha V, Smith T, Banner-Goodspeed V, Boone M, Campbell K, Lu F, Scannell J, Sobol J, Balajonda N, Clemmons K, Conde C, Elgasim M, Funk B, Hall R, Hopkins T, Olaleye O, Omer O, Pender M, Porto A, Stevens A, Waweru P, Yeh E, Bodansky D, Evans A, Kleopoulos S, Maril R, Mathney E, Sanchez A, Tinuoye E, Bateman B, Eng K, Jiang N, Ladha K, Needleman J, Chen LL, Lane R, Robinowitz D, Ghushe N, Irshad M, O'Connor J, Patel S, Takemoto S, Wallace A, Mazzeffi M, Rock P, Wallace K, Zhu X, Chua P, Mattera M, Sharar R, Thilen S, Treggiari M, Morgan A, Sofjan I, Subramaniam K, Avidan M, Maybrier H, Muench M, Wildes T., Université de Lille, CHU Lille, Queen Mary University of London [QMUL], Graduate School, Medical Microbiology and Infection Prevention, Clinical Immunology and Rheumatology, 01 Internal and external specialisms, ACS - Heart failure & arrhythmias, AGEM - Endocrinology, metabolism and nutrition, APH - Quality of Care, ACS - Diabetes & metabolism, AII - Amsterdam institute for Infection and Immunity, ACS - Microcirculation, Pearse, R M, International Surgical Outcomes Study (ISO), Group, Zangrillo, A, Landoni, G, Beretta, L., International Surgical Outcomes Study (ISOS) group, Pearse, R.M., Beattie, S., Clavien, P.A., Demartines, N., Fleisher, L.A., Grocott, M., Haddow, J., Hoeft, A., Holt, P., Moreno, R., Pritchard, N., Rhodes, A., Wijeysundera, D., Wilson, M., Ahmed, T., Everingham, K., Hewson, R., Januszewska, M., Phull, M.K., Halliwell, R., Shulman, M., Myles, P., Schmid, W., Hiesmayr, M., Wouters, P., de Hert, S., Lobo, S., Fang, X., Rasmussen, L., Futier, E., Biais, M., Venara, A., Slim, K., Sander, M., Koulenti, D., Arvaniti, K., Chan, M., Kulkarni, A., Chandra, S., Tantri, A., Geddoa, E., Abbas, M., Della Rocca, G., Sivasakthi, D., Mansor, M., Luna, P., Bouwman, A., Buhre, W., Beavis, V., Campbell, D., Short, T., Osinaike, T., Matos, R., Grigoras, I., Kirov, M., Protsenko, D., Biccard, B., Aldecoa, C., Chew, M., Hofer, C., Hubner, M., Ditai, J., Szakmany, T., Fleisher, L., Ferguson, M., MacMahon, M., Cherian, R., Currow, H., Kanathiban, K., Gillespie, D., Pathmanathan, E., Phillips, K., Reynolds, J., Rowley, J., Douglas, J., Kerridge, R., Garg, S., Bennett, M., Jain, M., Alcock, D., Terblanche, N., Cotter, R., Leslie, K., Stewart, M., Zingerle, N., Clyde, A., Hambidge, O., Rehak, A., Cotterell, S., Huynh, WBQ, McCulloch, T., Ben-Menachem, E., Egan, T., Cope, J., Fellinger, P., Haisjackl, M., Haselberger, S., Holaubek, C., Lichtenegger, P., Scherz, F., Hoffer, F., Cakova, V., Eichwalder, A., Fischbach, N., Klug, R., Schneider, E., Vesely, M., Wickenhauser, R., Grubmueller, K.G., Leitgeb, M., Lang, F., Toro, N., Bauer, M., Laengle, F., Haberl, C., Mayrhofer, T., Trybus, C., Buerkle, C., Forstner, K., Germann, R., Rinoesl, H., Schindler, E., Trampitsch, E., Bogner, G., Dankl, D., Duenser, M., Fritsch, G., Gradwohl-Matis, I., Hartmann, A., Hoelzenbein, T., Jaeger, T., Landauer, F., Lindl, G., Lux, M., Steindl, J., Stundner, O., Szabo, C., Bidgoli, J., Verdoodt, H., Forget, P., Kahn, D., Lois, F., Momeni, M., Prégardien, C., Pospiech, A., Steyaert, A., Veevaete, L., De Kegel, D., De Jongh, K., Foubert, L., Smitz, C., Vercauteren, M., Poelaert, J., Van Mossevelde, V., Abeloos, J., Bouchez, S., Coppens, M., De Baerdemaeker, L., Deblaere, I., De Bruyne, A., Fonck, K., Heyse, B., Jacobs, T., Lapage, K., Moerman, A., Neckebroek, M., Parashchanka, A., Roels, N., Van Den Eynde, N., Vandenheuvel, M., Limmen, J., Vanluchene, A., Vanpeteghem, C., Wyffels, P., Huygens, C., Vandenbempt, P., Van de Velde, M., Dylst, D., Janssen, B., Schreurs, E., Aleixo, F.B., Candido, K., Batista, H.D., Guimarães, M., Guizeline, J., Hoffmann, J., Lobo, FRM, Nascimento, V., Nishiyama, K., Pazetto, L., Souza, D., Rodrigues, R.S., Vilela Dos Santos, A.M., Jardim, J., Sá Malbouisson, L.M., Silva, J., Nascimento Junior, P.D., Baio, T.H., Pereira de Castro, G.I., Watanabe Oliveira, H.R., Amendola, C.P., Cardoso, G., Ortega, D., Brotto, A.F., De Oliveira, M.C., Réa-Neto, Á., Dias, F., Travi, M.E., Zerman, L., Azambuja, P., Knibel, M.F., Martins, A., Almeida, W., Neto, C.N., Tardelli, M.A., Caser, E., Machado, M., Aguzzoli, C., Baldisserotto, S., Tabajara, F.B., Bettega, F., Rodrigues Júnior, H.C., de Gasperi, J., Faina, L., Nolasco, M.F., Ferreira da Costa Fischer, B., Fosch de Campos Ferreira, M., Hartmann, C., Kliemann, M., Hubert Ribeiro, G.L., Fraga, J.M., Netto, T.M., Pozza, L.V., Wendling, P.R., Azevedo, C., Garcia, J., Lopes, M., Maia, B., Maselli, P., Melo, R., Mendes, W., Neves, M., Ney, J., Piras, C., Applewhaite, C., Carr, A., Chow, L., Duttchen, K., Foglia, J., Greene, M., Hinther, A., Houston, K., McCormick, T.J., Mikhayel, J., Montasser, S., Ragan, A., Suen, A., Woolsey, A., Yu, H.C., Funk, D., Kowalski, S., Legaspi, R., McDonald, H., Siddiqui, F., Pridham, J., Rowe, B., Sampson, S., Thiessen, B., Zbitnew, G., Bernard, A., George, R., Jones, P., Moor, R., Siddiqui, N., Wolfer, A., Tran, D., Winch, D., Dobson, G., McCormick, T., Montasser, O., Hall, R., Baghirzada, L., Curley, G., Dai, S.Y., Hare, G., Lee, E., Shastri, U., Tsui, A., Yagnik, A., Alvares, D., Choi, S., Dwyer, H., Flores, K., McCartney, C., Somascanthan, P., Carroll, J., Pazmino-Canizares, J., Ami, N., Chan, V., Perlas, A., Argue, R., Huang, Y., Lavis, K., Mayson, K., Cao, Y., Gao, H., Hu, T., Lv, J., Yang, J., Yang, Y., Zhong, Y., Zhou, J., Zou, X., He, M., Li, X., Luo, D., Wang, H., Yu, T., Chen, L., Wang, L., Cai, Y., Cao, Z., Li, Y., Lian, J., Sun, H., Wang, S., Wang, Z., Wang, K., Zhu, Y., Du, X., Fan, H., Fu, Y., Huang, L., Hwan, H., Luo, H., Qu, P.S., Tao, F., Wang, G., Zhang, Y., Zhang, X., Chen, C., Wang, W., Liu, Z., Fan, L., Tang, J., Chen, Y., Han, Y., Huang, C., Liang, G., Shen, J., Wang, J., Yang, Q., Zhen, J., Zhou, H., Chen, J., Chen, Z., Meng, B., Ye, H., Bi, Y., Cao, J., Guo, F., Lin, H., Liu, Y., Lv, M., Shi, P., Song, X., Sun, C., Sun, Y., Wang, Y., Zhang, M., Chen, R., Hou, J., Leng, Y., Meng, Q.T., Qian, L., Shen, Z.Y., Xia, Z.Y., Xue, R., Zhao, B., Zhou, X.J., Chen, Q., Guo, H., Guo, Y., Qi, Y., Wei, J., Zhang, W., Zheng, L., Bao, Q., Fei, Y., Hu, N., Hu, X., Lei, M., Lv, X., Miao, F., Ouyang, L., Shen, C., Wang, D., Wu, C., Xu, L., Yuan, J., Zhang, L., Zhang, H., Zhao, J., Zhao, C., Zhao, L., Zheng, T., Zhou, D., Zhou, C., Lu, K., Zhao, T., He, C., Chen, H., Chen, S., Cheng, B., He, J., Jin, L., Li, C., Li, H., Pan, Y., Shi, Y., Wen, X.H., Wu, S., Xie, G., Zhang, K., Lu, X., Chen, F., Liang, Q., Lin, X., Ling, Y., Liu, G., Tao, J., Yang, L., Cheng, Z., Dai, H., Feng, Y., Hou, B., Gong, H., Hu, C.H., Huang, H., Huang, J., Jiang, Z., Li, M., Lin, J., Liu, M., Liu, W., Luo, F., Ma, L., Min, J., Shi, X., Song, Z., Wan, X., Xiong, Y., Yang, S., Zhang, Q., Zhao, W., Zhu, X., Bai, Y., Dai, Q., Geng, W., Han, K., He, X., Ji, B., Jia, D., Jin, S., Li, Q., Liang, D., Luo, S., Lwang, L., Mo, Y., Qi, X., Qian, M., Qin, J., Ren, Y., Xie, J., Yan, Y., Yao, Y., Zhuang, X., Ai, Y., Du, F., He, L., Li, Z., Li, L., Meng, S., Yuan, Y., Zhang, E., Zhang, J., Zhao, S., Ji, Z., Pei, L., Dong, B., Li, J., Miao, Z., Mu, H., Qin, C., Su, L., Wen, Z., Xie, K., Yu, Y., Yuan, F., Xiao, W., Zhu, Z., Fu, K., Hu, R., Huang, S., Liang, Y., Yu, S., Guo, Z., Jing, Y., Tang, N., Wu, J., Yuan, D., Zhang, R., Zhao, X., Bai, H.P., Liu, C.X., Liu, F.F., Ren, W., Wang, X.L., Xu, G.J., Li, B., Ou, Y., Tang, Y., Yao, S., Zhang, S., Kong, C.C., Liu, B., Wang, T., Lu, B., Xia, Y., Cai, F., Chen, P., Hu, S., Xu, Q., Hu, L., Jing, L., Liu, Q., Peng, Z.D., Qiu, X., Ren, Q., Tong, Y., Wen, Y., Wu, Q., Xia, J., Xiong, X., Xu, S., Yang, T., Yin, N., Zeng, Q., Zhang, B., Zheng, K., Cang, J., Fan, Y., Fu, S., Ge, X., Guo, B., Huang, W., Jiang, L., Jiang, X., Shan, Q., Wang, F., Christiansen, I.C., Granum, S.N., Rasmussen, B.S., Daugaard, M., Gambhir, R., Brandsborg, B., Steingrímsdóttir, G.E., Jensen-Gadegaard, P., Olsen, K.S., Siegel, H., Eskildsen, K.Z., Gätke, M.R., Wibrandt, I., Heintzelmann, S.B., Wiborg Lange, K.H., Lundsgaard, R.S., Amstrup-Hansen, L., Hovendal, C., Larsen, M., Lenstrup, M., Kobborg, T., Larsen, J.R., Pedersen, A.B., Smith, S.H., Oestervig, R.M., Afshari, A., Andersen, C., Ekelund, K., Secher, E.L., Beloeil, H., Lasocki, S., Ouattara, A., Sineus, M., Molliex, S., Legouge, M.L., Wallet, F., Tesniere, A., Gaudin, C., Lehur, P., Forsans, E., de Rudnicki, S., Maudet, V.S., Mutter, D., Sojod, G., Ouaissi, M., Regimbeau, J.M., Desbordes, J., Comptaer, N., Manser, D.E., Ethgen, S., Lebuffe, G., Auer, P., Härtl, C., Deja, M., Legashov, K., Sonnemann, S., Wiegand-Loehnert, C., Falk, E., Habicher, M., Angermair, S., Laetsch, B., Schmidt, K., Von Heymann, C., Ramminger, A., Jelschen, F., Pabel, S., Weyland, A., Czeslick, E., Gille, J., Malcharek, M., Sablotzki, A., Lueke, K., Wetzel, P., Weimann, J., Lenhart, F.P., Reichle, F., Schirmer, F., Hüppe, M., Klotz, K., Nau, C., Schön, J., Mencke, T., Wasmund, C., Bankewitz, C., Baumgarten, G., Fleischer, A., Guttenthaler, V., Hack, Y., Kirchgaessner, K., Männer, O., Schurig-Urbaniak, M., Struck, R., van Zyl, R., Wittmann, M., Goebel, U., Harris, S., Veit, S., Andreadaki, E., Souri, F., Katsiadramis, I., Skoufi, A., Vasileiou, M., Aimoniotou-Georgiou, E., Katsourakis, A., Veroniki, F., Vlachogianni, G., Petra, K., Chlorou, D., Oloktsidou, E., Ourailoglou, V., Papapostolou, K., Tsaousi, G., Daikou, P., Dedemadi, G., Kalaitzopoulos, I., Loumpias, C., Bristogiannis, S., Dafnios, N., Gkiokas, G., Kontis, E., Kozompoli, D., Papailia, A., Theodosopoulos, T., Bizios, C., Koutsikou, A., Moustaka, A., Plaitakis, I., Armaganidis, A., Christodoulopoulou, T., Lignos, M., Theodorakopoulou, M., Asimakos, A., Ischaki, E., Tsagkaraki, A., Zakynthinos, S., Antoniadou, E., Koutelidakis, I., Lathyris, D., Pozidou, I., Voloudakis, N., Dalamagka, M., Elena, G., Chronis, C., Manolakaki, D., Mosxogiannidis, D., Slepova, T., Tsakiridou, I.S., Lampiri, C., Vachlioti, A., Panagiotakis, C., Sfyras, D., Tsimpoukas, F., Tsirogianni, A., Axioti, E., Filippopoulos, A., Kalliafa, E., Kassavetis, G., Katralis, P., Komnos, I., Pilichos, G., Ravani, I., Totis, A., Apagaki, E., Efthymiadi, A., Kampagiannis, N., Paraforou, T., Tsioka, A., Georgiou, G., Vakalos, A., Bairaktari, A., Charitos, E., Markou, G., Niforopoulou, P., Papakonstantinou, N., Tsigou, E., Xifara, A., Zoulamoglou, M., Gkioni, P., Karatzas, S., Kyparissi, A., Mainas, E., Papapanagiotou, I., Papavasilopoulou, T., Fragandreas, G., Georgopoulou, E., Katsika, E., Psarras, K., Synekidou, E., Verroiotou, M., Vetsiou, E., Zaimi, D., Anagnou, A., Apostolou, K., Melissopoulou, T., Rozenberg, T., Tsigris, C., Boutsikos, G., Kalles, V., Kotsalas, N., Lavdaiou, C., Paikou, F., Panagou, G.L., Spring, A., Botis, I., Drimala, M., Georgakakis, G., Kiourtzieva, E., Ntouma, P., Prionas, A., Xouplidis, K., Dalampini, E., Giannaki, C., Iasonidou, C., Ioannidis, O., Lavrentieva, A., Papageorgiou, G., Kokkinoy, M., Stafylaraki, M., Gaitanakis, S., Karydakis, P., Paltoglou, J., Ponireas, P., Chaloulis, P., Provatidis, A., Sousana, A., Gardikou, V.V., Konstantivelli, M., Lataniotou, O., Lisari, E., Margaroni, M., Stamatiou, K., Nikolaidis, E., Pnevmatikos, I., Sertaridou, E., Andreou, A., Arkalaki, E., Athanasakis, E., Chaniotaki, F., Chatzimichali, C.A., Christofaki, M., Dermitzaki, D., Fiorentza, K., Frantzeskos, G., Geromarkaki, E., Kafkalaki, K., Kalogridaki, M., Karydi, K., Kokkini, S., Kougentakis, G., Lefaki, T., Lilitsis, E., Makatounaki, A., Malliotakis, P., Michelakis, D., Neonaki, M., Nyktari, V., Palikyra, I., Papadakis, E., Papaioannou, A., Sfakianakis, K., Sgouraki, M., Souvatzis, X., Spartinou, A., Stefanidou, N., Syrogianni, P., Tsagkaraki, G., Arnaoutoglou, E., Arnaoutoglou, C., Bali, C., Bouris, V., Doumos, R., Gkini, K.P., Kapaktsi, C., Koulouras, V., Lena, A., Lepida, D., Michos, E., Papadopoulos, D., Paschopoulos, M., Rompou, V.A., Siouti, I., Tsampalas, S., Ververidou, O., Zilis, G., Charlalampidoy, A., Christodoulidis, G., Flossos, A., Stamoulis, K., Tsang, MSC, Tsang, M.S., Lai, M.L., Yip, C.P., Heymans Chan, H.M., Law, B., Li, W.S., Chu, H.M., Koo, EGY, Lam, CCJ, Cheng, K.H., Lam, T., Chu, S., Lam, W.Y., Wong, KWK, Kwok, D., Hung, CYJ, Chan, WKJ, Wong, W.L., Chung, CKE, Ma, S.K., Kaushik, S., Shah, B., Shah, D., Shah, S., Ar, P., Muthuchellappan, R., Agarwal, V., Divatia, J., Mishra, S., Nimje, G., Pande, S., Savarkar, S., Shrivastava, A., Thomas, M., Yegnaram, S., Hidayatullah, R., Puar, N., Niman, S., Indra, I., Hamzah, Z., Yuliana, A., Abidin, U.N., Dursin, A.N., Kurnia, A., Susanti, A., Handayani, D., Alit, M.A., Arya, A., Senapathi, TGA, Utara, U.H., Wid, W.M., Wima, S., Wir, W.M., Jehosua, B., Kaunang, J., Lantang, E.Y., Najoan, R., Waworuntu, N., Awad, H., Fuad, A., Geddoa, B., Khalaf, A.R., Al Hussaini, S., Albaj, S., Kenber, M., Bettinelli, A., Spadaro, S., AlbertoVolta, C., Giancarlo, L., Sottosanti, V., Copetti, E., Spagnesi, L., Toretti, I., Alloj, C., Cardellino, S., Carmino, L., Costanzo, E., Fanfani, L.C., Novelli, M.T., Roasio, A., Bellandi, M., Bignami, E., Bocchino, S., Cabrini, L., Corti, D., Landoni, G., Meroni, R., Moizo, E., Monti, G., Pintaudi, M., Plumari, V.P., Taddeo, D., Testa, V., Winterton, D., Zangrillo, A., Cloro, L.M., Colangelo, C., Colangelo, A., Rotunno, G., Paludi, M.A., Maria, C.P., Pata, A., Parrini, V., Gatta, A., Nastasi, M., Tinti, C., Baroselli, A., Arrigo, M., Benevento, A., Bottini, C., Cannavo', M., Gastaldi, C., Marchesi, A., Pascazio, A., Pata, F., Pozzi, E., Premoli, A., Tessera, G., Boschi, L., D'Andrea, R., Ghignone, F., Poggioli, G., Sibilio, A., Taffurelli, M., Ugolini, G., Ab Majid, M.A., Ab Rahman, R., Joseph, J., Pathan, F., Sybil Shah, M.H., Yap, H.L., Cheah, S., Chin, I.I., Looi, J.K., Tan, S.C., Visvalingam, S., Kwok, F.Y., Lee, C.K., Tan, T.S., Wong, S.M., Abdullah, N.H., Liew, C.F., Luxuman, L., Mohd Zin, N.H., Norddin, M.F., Raja Alias, R.L., Wong, J.Y., Yong, J., Bin Mustapha, M.T., Chan, W.K., Dzulkipli, N., Kuan, P.X., Lee, Y.C., Alias, A., Guok, E.C., Jee, C.C., Ramon, B.R., Wong, C.W., Abd Ghafar, FNI, Aziz, F.Z., Hussain, N., Lee, H.S., Sukawi, I., Woon, Y.L., Abd Hadi, H.Z., Ahmad Azam, U.A., Alias, A.H., Kesut, S.A., Lee, J.M., Ooi, D.V., Sulaiman, H.A., Lih, TAT, Veerakumaran, J., Rojas, E., Resendiz, GEA, Zapata, DDM, López, JCJA, Flores, AAA, Amador, JCB, Avila, EJD, Aquino, LPG, Rodriguez, R.L., Landa, M.T., Urias, E., Hollmann, M., Hulst, A., Benedikt Preckel, O.K., Gemert, A.K., Buise, M., Tolenaar, N., Weber, E., de Fretes, J., Houweling, P., Ormskerk, P., Van Bommel, J., Lance, M., Smit-Fun, V., van Zundert, T., Baas, P., de Boer, H.D., Sprakel, J., Elferink-Vonk, R., Noordzij, P., van Zeggeren, L., Brand, B., Spanjersberg, R., Bokkel-Andela, J.T., Numan, S., van Klei, W., van Zaane, B., Boer, C., van Duivenvoorde, Y., Hering, J.P., van Rossum, S., Zonneveldt, H., Hoare, S., Santa, S., Ali, M., Allen, S.J., Bell, R., Choi, H.D., Drake, M., Farrell, H., Hayes, K., Higgie, K., Holmes, K., Jenkins, N., Kim, C.J., Kim, S., Law, K.C., McAllister, D., Park, K., Pedersen, K., Pfeifer, L., Pozaroszczyk, A., Salmond, T., Steynor, M., Tan, M., Waymouth, E., Ab Rahman, A.S., Armstrong, J., Dudson, R., Nilakant, J., Richard, S., Virdi, P., Dixon, L., Donohue, R., Farrow, M., Kennedy, R., Marissa, H., McKellow, M., Nicola, D., Pascoe, R., Roberts, S.J., Rowell, G., Sumner, M., Templer, P., Chandrasekharan, S., Fulton, G., Jammer, I., More, R., Wilson, L., Chang, Y.H., Foley, J., Fowler, C., Panckhurst, J., Sara, R., Stapelberg, F., Cherrett, V., Ganter, D.L., McCann, L., Gilmour, F., Lumsden, R., Moores, M., Olliff, S., Sardareva, E., Tai, J., Wikner, M., Wong, C., Chaddock, M., Czepanski, C., McKendry, P., Polakovic, D., Polakovich, D., Robert, A., Belda, M.T., Norton, T., Alherz, F., Barneto, L., Ramirez, A., Sayeed, A., Smith, N., Bennett, C., McQuoid, S., Jansen, T.L., Nico, Z., Scott, J., Freschini, D., Freschini, A., 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Subramaniam, K., Avidan, M., Maybrier, H., Muench, M., and Wildes, T.
Subjects: Male, Postoperative Complications/epidemiology, Hospital mortality, [SDV]Life Sciences [q-bio], surgery, Postoperative Complications, 0302 clinical medicine, cohort studies, 030202 anesthesiology, patient safety, 030212 general & internal medicine, Postoperative Period, Medicine(all), Middle Aged, Checklist, 3. Good health, Treatment Outcome, operative/mortality, Elective Surgical Procedures, Surgical Procedures, Operative, Meta-analysis, Cohort, Cohort studies, Female, Elective Surgical Procedure, postoperative care/methods, postoperative care/statistics and numerical data, surgical procedures, Anesthesiology and Pain Medicine, Cohort study, Adult, medicine.medical_specialty, Evidence-based medicine, NO, 03 medical and health sciences, Patient safety, medicine, postoperative care/method, Humans, Elective Surgical Procedures/standards, Aged, Cohort Studies, Evidence-Based Medicine, Hospital Mortality, Patient Safety, Postoperative Complications/mortality, Postoperative Complications/prevention & control, Surgical Procedures, Operative/methods, business.industry, Odds ratio, Surgery, Observational study, business, cohort studie
Abstract: BACKGROUND: The surgical safety checklist is widely used to improve the quality of perioperative care. However, clinicians continue to debate the clinical effectiveness of this tool.METHODS: Prospective analysis of data from the International Surgical Outcomes Study (ISOS), an international observational study of elective in-patient surgery, accompanied by a systematic review and meta-analysis of published literature. The exposure was surgical safety checklist use. The primary outcome was in-hospital mortality and the secondary outcome was postoperative complications. In the ISOS cohort, a multivariable multi-level generalized linear model was used to test associations. To further contextualise these findings, we included the results from the ISOS cohort in a meta-analysis. Results are reported as odds ratios (OR) with 95% confidence intervals.RESULTS: We included 44 814 patients from 497 hospitals in 27 countries in the ISOS analysis. There were 40 245 (89.8%) patients exposed to the checklist, whilst 7508 (16.8%) sustained ≥1 postoperative complications and 207 (0.5%) died before hospital discharge. Checklist exposure was associated with reduced mortality [odds ratio (OR) 0.49 (0.32-0.77); PCONCLUSIONS: Patients exposed to a surgical safety checklist experience better postoperative outcomes, but this could simply reflect wider quality of care in hospitals where checklist use is routine.
Published: 2018
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41. Optimal configuration of 802.11e EDCA for real-time and data traffic

Author: Serrano, P., Banchs, A., Patras, P., and Azcorra, A.
Subjects: Rayleigh number -- Analysis, Time-domain analysis, Business, Electronics, Electronics and electrical industries, Transportation industry
Published: 2010

42. Incremental refinement of image salient-point detection

Author: Andreopoulos, Yiannis and Patras, Ioannis
Subjects: Complementary metal oxide semiconductors -- Usage, Image processing -- Research, Business, Computers, Electronics, Electronics and electrical industries
Abstract: An approach for the increment derivation of salient points by increasing the number of bits sensed from the input image is presented.
Published: 2008

43. Sustainable Low-Volume Analysis of Environmental Samples by Semi-Automated Prioritization of Extracts for Natural Product Research (SeaPEPR)

Author: Riyanti, Frans Gruber Ijong, Michael Marner, Stevy Imelda Murniati Wodi, Frets Jonas Rieuwpassa, Maria A. Patras, Till F. Schäberle, Walter Balansa, and Christoph Hartwig
Subjects: Prioritization, natural products, Pharmaceutical Science, Microbial Sensitivity Tests, Fungus, medicine.disease_cause, Article, antibiotics, Automation, Septoria, Drug Discovery, medicine, Animals, marine sponges, Candida albicans, lcsh:QH301-705.5, Pharmacology, Toxicology and Pharmaceutics (miscellaneous), Escherichia coli, Biological Products, Bacteria, biology, Plant Extracts, business.industry, Fungi, Green Chemistry Technology, Pathogenic bacteria, biology.organism_classification, dereplication, Yeast, plant pathogen, Porifera, Biotechnology, lcsh:Biology (General), Natural Product Research, business, Metabolic Networks and Pathways, Environmental Monitoring
Abstract: The discovery of novel natural products (NPs) that will serve as lead structures has to be an ongoing effort to fill the respective development pipelines. However, identification of NPs, which possess a potential for application in e.g., the pharma or agro sector, must be as cost effective and fast as possible. Furthermore, the amount of sample available for initial testing is usually very limited, not least because of the fact that the impact on the environment, i.e., the sampled biosystem, should be kept minimal. Here, our pipeline SeaPEPR is described, in which a primary bioactivity screening of crude extracts is combined with the analysis of their metabolic fingerprint. This enabled prioritization of samples for subsequent microfractionation and dereplication of the active compounds early in the workflow. As a case study, 76 marine sponge-derived extracts were screened against a microbial screening panel. Thereunder, human pathogenic bacteria (Escherichia coli ATCC35218 and Staphylococcus aureus ATCC33592) and yeast (Candida albicans FH2173), as well as the phytopathogenic fungus Septoria tritici MUCL45407. Overall, nine extracts revealed activity against at least one test organism. Metabolic fingerprinting enabled assigning four active extracts into one metabolic group, therefore, one representative was selected for subsequent microfractionation. Dereplication of the active fractions showed a new dibrominated aplysinopsin and a hypothetical chromazonarol stereoisomer derivative. Furthermore, inhibitory activity against the common plant pest Septoria tritici was discovered for NPs of marine origin.
Published: 2020
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44. Circulating Amyloid Beta 1-40 Is Associated with Increased Rate of Progression of Atherosclerosis in Menopause: A Prospective Cohort Study

Author: Nikolaos Tsoltos, Anastasia Soureti, Simon Tual-Chalot, Raphael Patras, Eleni Armeni, Dimitrios Delialis, Konstantinos Stellos, Nikolaos I. Vlachogiannis, Irene Lambrinoudaki, Kimon Stamatelopoulos, Evmorfia Aivalioti, Georgios Georgiopoulos, and Areti Augoulea
Subjects: Oncology, Adult, medicine.medical_specialty, Amyloid beta, Population, Disease, 030204 cardiovascular system & hematology, Kidney, Carotid Intima-Media Thickness, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Medicine, Humans, Prospective Studies, Prospective cohort study, education, Aged, education.field_of_study, Postmenopausal women, Amyloid beta-Peptides, biology, business.industry, Hematology, Middle Aged, medicine.disease, Atherosclerosis, Peptide Fragments, Menopause, biology.protein, Disease Progression, Biomarker (medicine), Female, business, Wall thickness, 030217 neurology & neurosurgery, Biomarkers, Follow-Up Studies
Abstract: Background Accumulating evidence suggests that circulating amyloidβ 1–40 (Αβ1–40), a proatherogenic aging peptide, may serve as a novel biomarker in cardiovascular disease (CVD). We aimed to explore the role of plasma Αβ1–40 and its patterns of change over time in atherosclerosis progression in postmenopausal women, a population with substantial unrecognized CVD risk beyond traditional risk factors (TRFs). Methods In this prospective study, Αβ1–40 was measured in plasma by enzyme-linked immunosorbent assay and atherosclerosis was assessed using carotid high-resolution ultrasonography at baseline and after a median follow-up of 28.2 months in 152 postmenopausal women without history or symptoms of CVD. Results At baseline, high Αβ1–40 was independently associated with higher carotid bulb intima-media thickness (cbIMT) and the sum of maximal wall thickness in all carotid sites (sumWT) (p Conclusion In postmenopausal women, a pattern of increasing or persistently high Αβ1–40 was associated with the rate of progression of subclinical atherosclerosis irrespective of its baseline levels. These findings provide novel insights into a link between Αβ1–40 and atherosclerosis progression in menopause and warrant further research to clarify the clinical value of monitoring its circulating levels as an atherosclerosis biomarker in women without clinically overt CVD.
Published: 2020

45. AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization

Author: Vasileios Mezaris, Evlampios Apostolidis, Alexandros I. Metsai, Ioannis Patras, and Eleni Adamantidou
Subjects: Generative Adversarial Networks, Computer science, business.industry, Video summarization, 02 engineering and technology, Automatic summarization, 030218 nuclear medicine & medical imaging, Set (abstract data type), 03 medical and health sciences, 0302 clinical medicine, Workflow, Actor-Critic model, Reinforcement learning, 0202 electrical engineering, electronic engineering, information engineering, Media Technology, Task analysis, Benchmark (computing), Unsupervised learning, 020201 artificial intelligence & image processing, Artificial intelligence, Electrical and Electronic Engineering, business, Selection (genetic algorithm), Unsupervised machine learning
Abstract: This paper presents a new method for unsupervised video summarization. The proposed architecture embeds an Actor-Critic model into a Generative Adversarial Network and formulates the selection of important video fragments (that will be used to form the summary) as a sequence generation task. The Actor and the Critic take part in a game that incrementally leads to the selection of the video key-fragments, and their choices at each step of the game result in a set of rewards from the Discriminator. The designed training workflow allows the Actor and Critic to discover a space of actions and automatically learn a policy for key-fragment selection. Moreover, the introduced criterion for choosing the best model after the training ends, enables the automatic selection of proper values for parameters of the training process that are not learned from the data (such as the regularization factor $\sigma $ ). Experimental evaluation on two benchmark datasets (SumMe and TVSum) demonstrates that the proposed AC-SUM-GAN model performs consistently well and gives SoA results in comparison to unsupervised methods, that are also competitive with respect to supervised methods.
Published: 2020

46. Tiki-Taka

Author: Xavier Costa-Perez, Chaoyun Zhang, and Paul Patras
Subjects: Feature engineering, Artificial neural network, business.industry, Computer science, Deep learning, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Botnet, Evasion (network security), 020206 networking & telecommunications, 02 engineering and technology, Intrusion detection system, Network Intrusion Detection Systems, Computer security, computer.software_genre, Adversarial system, Deep Learning, Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Adversarial Attacks
Abstract: Neural networks are increasingly important in the developmentof Network Intrusion Detection Systems (NIDS), as they have the potential to achieve high detection accuracy while requiring limited feature engineering. Deep learning-based detectors can be however vulnerable to adversarial examples, by which attackers that maybe oblivious to the precise mechanics of the targeted NIDS add subtle perturbations to malicious traffic features, with the aim of evading detection and disrupting critical systems in a cost-effective manner. Defending against such adversarial attacks is therefore of high importance, but requires to address daunting challenges.In this paper, we introduce Tiki-Taka, a general framework for (i) assessing the robustness of state-of-the-art deep learning-based NIDS against adversarial manipulations, and which (ii) incorporates our proposed defense mechanisms to increase the NIDS’ resistance to attacks employing such evasion techniques. Specifically, we select five different cutting-edge adversarial attack mechanisms to subvert three popular malicious traffic detectors that employ neural networks. We experiment with a publicly available dataset and consider both one-to-all and one-to-one classification scenarios, i.e., discriminating illicit vs benign traffic and respectively identifying specific types of anomalous traffic among many observed. The results obtained reveal that, under realistic constraints, attackers can evade NIDS with up to 35.7% success rates, by only altering time-based features of the traffic generated. To counteract these weaknesses, we propose three defense mechanisms, namely: model voting ensembling, ensembling adversarial training, and query detection. To the best of our knowledge, our work is the first to propose defenses against adversarial attacks targeting NIDS. We demonstrate that when employing the proposed methods, intrusion detection rates can be improved to nearly 100% against most types of malicious traffic, and attacks with potentially catastrophic consequences (e.g., botnet) can be thwarted. This confirms the effectiveness of our solutions and makes the case for their adoption when designing robust and reliable deep anomaly detectors
Published: 2020
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47. Cardiac arrest and drug-related cardiac toxicity in the Covid-19 era. Epidemiology, pathophysiology and management

Author: Meletios-Athanasios Dimopoulos, Raphael Patras, Evmorfia Aivalioti, Georgios Mavraganis, Ioannis Kanakakis, Kimon Stamatelopoulos, Sofia Chatzidou, and Ioannis Paraskevaidis
Subjects: Drug, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), media_common.quotation_subject, medicine.medical_treatment, Pneumonia, Viral, Toxicology, Article, Betacoronavirus, Drug toxicity, 03 medical and health sciences, 0404 agricultural biotechnology, Cardiac toxicity, Epidemiology, Pandemic, Disease Transmission, Infectious, medicine, Humans, Covid-19 transmission, Cardiopulmonary resuscitation, Intensive care medicine, Pandemics, 030304 developmental biology, media_common, 0303 health sciences, SARS-CoV-2, business.industry, COVID-19, Arrhythmias, Cardiac, 04 agricultural and veterinary sciences, General Medicine, Cardiac arrest, 040401 food science, Cardiotoxicity, Pathophysiology, Heart Arrest, Heart complications, Coronavirus Infections, business, Food Science
Abstract: SARS-CoV-2 (Covid-19) infection has recently become a worldwide challenge with dramatic global economic and health consequences. As the pandemic is still spreading, new data concerning Covid-19 complications and related mechanisms become increasingly available. Accumulating data suggest that the incidence of cardiac arrest and its outcome are adversely affected during the Covid-19 period. This may be further exacerbated by drug-related cardiac toxicity of Covid-19 treatment regimens. Elucidating the underlying mechanisms that lead to Covid-19 associated cardiac arrest is imperative, not only in order to improve its effective management but also to maximize preventive measures. Herein we discuss available epidemiological data on cardiac arrest during the Covid-19 pandemic as well as possible associated causes and pathophysiological mechanisms and highlight gaps in evidence warranting further investigation. The risk of transmission during cardiopulmonary resuscitation (CPR) is also discussed in this review. Finally, we summarize currently recommended guidelines on CPR for Covid-19 patients including CPR in patients with cardiac arrest due to suspected drug-related cardiac toxicity in an effort to underscore the most important common points and discuss discrepancies proposed by established international societies., Highlights • Covid-19 pandemic is associated with increased incidence of cardiac arrest. • Cardiac, non-cardiac causes and drug-related toxicity may jointly contribute to cardiac arrest associated with Covid-19. • Recommendations for cardiac arrest management are modified during the pandemic. • Recommendations for prevention and management of drug-related toxicity related to Covid-19 are summarized.
Published: 2020
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48. Anti-Mullerian hormone concentrations are inversely associated with subclinical atherosclerosis in premenopausal women

Author: Georgios Kaparos, Andreas Alexandrou, Eleni Armeni, Kimon Stamatelopoulos, Christos Kontogiannis, Raphael Patras, Panagiota Chatzivasileiou, Panagiotis Anagnostis, D Delialis, Demetrios Rizos, D Fotellis, I Lamprinoudaki, George Georgiopoulos, Stefanos Stergiotis, and Areti Augoulea
Subjects: medicine.medical_specialty, Endocrinology, biology, business.industry, Internal medicine, Subclinical atherosclerosis, medicine, biology.protein, Anti-Müllerian hormone, Cardiology and Cardiovascular Medicine, business
Abstract: Background Anti-Müllerian hormone (AMH) constitutes a marker of ovarian reserve and appears to have a predictive role regarding the time of menopause. Moreover, AMH is associated with adverse cardiac events. History of premature menopause and early onset of menopause have been associated with increased risk of cardiovascular (CV) disease. In addition, menopausal transition and duration of menopause have been associated with increased burden of subclinical atherosclerosis. However, the association between AMH as a marker of female reproductive age with atherosclerosis in premenopausal women is currently unknown. Purpose To investigate whether AMH concentrations are associated with markers of early atherosclerosis in healthy, normally menstruating women. Methods In a cross-sectional study, vascular structure and function were assessed by measurement of carotid and femoral intima-media thickness (IMT), lipid profile and serum AMH concentrations were assessed. Exclusion criteria were clinically overt CV disease, abnormal ovulatory cycles, polycystic ovarian syndrome, acute infection or chronic inflammatory disease, risk factors for CV disease and any medication Results Seventy premenopausal women, aged 32.7±6.5 years, were included. Mean AMH levels were lower in smokers than in non-smokers and negatively associated with total cholesterol (TC) levels. An inverse association between mean AMH concentrations and IMT in all segments was observed. No correlation with other markers of subclinical atherosclerosis or traditional CV risk factors was found. After multi-variable adjustment for traditional CV risk factors, the association between AMH concentrations combined IMT and carotid bulb IMT, remained significant. Conclusions In healthy, normally ovulating women, low AMH concentrations are associated with an adverse lipid profile and subclinical atherosclerosis, independently of traditional CV risk factors. This finding suggest a role of decreased follicular reserve with atherosclerotic disease. Funding Acknowledgement Type of funding source: None
Published: 2020
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49. Characterization and clinical implications of peripheral arterial involvement in transthyretin cardiac amyloidosis cardiomyopathy

Author: Maria Roussou, I Petropoulos, Constantinos Pamboucas, M.A. Dimopoulos, D Delialis, Ioannis Kanakakis, E Kastritis, M.E. Tselegkidi, Raphael Patras, Evmorfia Aivalioti, D Bampatsias, Ioannis P. Trougakos, Kimon Stamatelopoulos, Maria Gavriatopoulou, and E. Terpos
Subjects: Pathology, medicine.medical_specialty, Transthyretin, biology, Cardiac amyloidosis, business.industry, Cardiomyopathy, biology.protein, Medicine, Cardiology and Cardiovascular Medicine, business, medicine.disease, Peripheral
Abstract: Background The sporadic form of transthyretin amyloidosis cardiomyopathy (ATTR-CM) is underdiagnosed but its prevalence is increasing due to the aging population. Given the poor prognosis of ATTR-CM understanding the underlying pathophysiologic mechanisms of the disease is imperative in order to improve strategies for early diagnosis and risk stratification and to develop new effective therapeutic options. ATTR-CM is associated with hypotension and there is preliminary experimental evidence of vascular involvement but its presence and clinical significance remains unknown. Purpose To characterize peripheral arterial involvement and explore its clinical role in ATTR-CM. Methods We consecutively recruited 28 previously untreated patients with newly diagnosed ATTR-CM and 34 elderly controls >70 years old, without ATTR-CM or heart failure. In both groups, flow-mediated dilatation (FMD) and intima-media thickness (IMT) in the carotid arteries were measured by high-resolution ultrasonography as markers of peripheral vascular reactivity and of subclinical atherosclerosis, respectively. Carotid-femoral pulse wave velocity (PWV) was measured as a marker of arterial stiffness. Aortic blood pressure (BP) and augmentation index (AI) using applanation tonometry were measured as markers of arterial wave reflections, peripheral arterial resistance and central hemodynamics. Echocardiography was performed in all ATTR patients. All cardiovascular (CV) measurements were performed before administration of any ATTR-specific therapy. Results ATTR patients were older and had lower prevalence of hypertension and male gender (p Conclusion ATTR-CM is associated with lower aortic wave reflections, which correlate with more advanced structural cardiac disease, as assessed by IVwt. Further, ATTR-CM patients present accelerated subclinical carotid atherosclerosis as compared to elderly control subjects. These findings suggest that in ATTR-CM there is disease-specific peripheral vascular involvement in parallel to cardiac involvement. The clinical significance of these findings merits further investigation. Funding Acknowledgement Type of funding source: None
Published: 2020
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50. Efficacy and safety of dolutegravir with emtricitabine and tenofovir alafenamide fumarate or tenofovir disoproxil fumarate, and efavirenz, emtricitabine, and tenofovir disoproxil fumarate HIV antiretroviral therapy regimens started in pregnancy (IMPAACT 2010/VESTED): a multicentre, open-label, randomised, controlled, phase 3 trial

Author: Sean S Brummel, Ben Johnston, Gaerolwe Masheto, Nahida Chakhtoura, K. Rivet Amico, Shahin Lockman, Lee Fairlie, Brookie M. Best, Lynette Purdue, Yao Cheng, Lewis B. Holmes, Haseena Cassim, Lynda Stranix-Chibanda, Lauren Ziemba, William Murtaugh, Esau Joao, Jeffrey S. A. Stringer, Emmanuel Patras, Katie McCarthy, Mauricio Pinilla, Andee Fox, Anne Coletti, Mark Mirochnick, Renee Browning, Sherika Hanley, Kevin Knowles, Risa M Hoffman, Sikhulile Moyo, Blandina T. Mmbaga, Patrick Jean-Philippe, Jeremiah D. Momper, Nagawa Jaliaah, Frances Whalen, Navdeep K Thoofer, Violet Korutaro, Roger L. Shapiro, Jean van Wyk, Chelsea Krotje, Paul E. Sax, James F. Rooney, Judith S. Currier, Lameck Chinula, Cheryl Blanchette, and Lisa M. Frenkel
Subjects: Infectious Disease Transmission, HIV Infections, Reproductive health and childbirth, 030204 cardiovascular system & hematology, Medical and Health Sciences, Piperazines, law.invention, chemistry.chemical_compound, 0302 clinical medicine, Randomized controlled trial, law, Heterocyclic Compounds, Pregnancy, Infant Mortality, Prenatal, Vertical, Emtricitabine, 030212 general & internal medicine, Pregnancy Complications, Infectious, Ultrasonography, Pediatric, Alanine, Infectious, Pregnancy Outcome, virus diseases, General Medicine, Infectious Diseases, 6.1 Pharmaceuticals, Dolutegravir, Combination, HIV/AIDS, Drug Therapy, Combination, Female, Infection, Heterocyclic Compounds, 3-Ring, medicine.drug, Adult, medicine.medical_specialty, Efavirenz, Anti-HIV Agents, Pyridones, Clinical Trials and Supportive Activities, Gestational Age, 3-Ring, Tenofovir alafenamide, Ultrasonography, Prenatal, 03 medical and health sciences, Drug Therapy, Clinical Research, Internal medicine, General & Internal Medicine, Oxazines, medicine, Humans, Tenofovir, business.industry, Prevention, Adenine, Infant, Newborn, Infant, Evaluation of treatments and therapeutic interventions, Perinatal Period - Conditions Originating in Perinatal Period, medicine.disease, IMPAACT 2010/VESTED Study Team and Investigators, Newborn, Infectious Disease Transmission, Vertical, Clinical trial, Pregnancy Complications, Regimen, Good Health and Well Being, chemistry, business
Abstract: BackgroundAntiretroviral therapy (ART) during pregnancy is important for both maternal health and prevention of perinatal HIV-1 transmission; however adequate data on the safety and efficacy of different ART regimens that are likely to be used by pregnant women are scarce. In this trial we compared the safety and efficacy of three antiretroviral regimens started in pregnancy: dolutegravir, emtricitabine, and tenofovir alafenamide fumarate; dolutegravir, emtricitabine, and tenofovir disoproxil fumarate; and efavirenz, emtricitabine, and tenofovir disoproxil fumarate.MethodsThis multicentre, open-label, randomised controlled, phase 3 trial was done at 22 clinical research sites in nine countries (Botswana, Brazil, India, South Africa, Tanzania, Thailand, Uganda, the USA, and Zimbabwe). Pregnant women (aged ≥18 years) with confirmed HIV-1 infection and at 14-28 weeks' gestation were eligible. Women who had previously taken antiretrovirals in the past were excluded (up to 14 days of ART during the current pregnancy was permitted), as were women known to be pregnant with multiple fetuses, or those with known fetal anomaly or a history of psychiatric illness. Participants were randomly assigned (1:1:1) using a central computerised randomisation system. Randomisation was done using permuted blocks (size six) stratified by gestational age (14-18, 19-23, and 24-28 weeks' gestation) and country. Participants were randomly assigned to receive either once-daily oral dolutegravir 50 mg, and once-daily oral fixed-dose combination emtricitabine 200 mg and tenofovir alafenamide fumarate 25 mg; once-daily oral dolutegravir 50 mg, and once-daily oral fixed-dose combination emtricitabine 200 mg and tenofovir disoproxil fumarate 300 mg; or once-daily oral fixed-dose combination of efavirenz 600 mg, emtricitabine 200 mg, and tenofovir disoproxil fumarate 300 mg. The primary efficacy outcome was the proportion of participants with viral suppression, defined as an HIV-1 RNA concentration of less than 200 copies per mL, at or within 14 days of delivery, assessed in all participants with an HIV-1 RNA result available from the delivery visit, with a prespecified non-inferiority margin of -10% in the combined dolutegravir-containing groups versus the efavirenz-containing group (superiority was tested in a pre-planned secondary analysis). Primary safety outcomes, compared pairwise among treatment groups, were the occurrence of a composite adverse pregnancy outcome (ie, either preterm delivery, the infant being born small for gestational age, stillbirth, or spontaneous abortion) in all participants with a pregnancy outcome, and the occurrence of grade 3 or higher maternal and infant adverse events in all randomised participants. This trial was registered with ClinicalTrials.gov, NCT03048422.FindingsBetween Jan 19, 2018, and Feb 8, 2019, we enrolled and randomly assigned 643 pregnant women: 217 to the dolutegravir, emtricitabine, and tenofovir alafenamide fumarate group, 215 to the dolutegravir, emtricitabine, and tenofovir disoproxil fumarate group, and 211 to the efavirenz, emtricitabine, and tenofovir disoproxil fumarate group. At enrolment, median gestational age was 21·9 weeks (IQR 18·3-25·3), the median HIV-1 RNA concentration among participants was 902·5 copies per mL (152·0-5182·5; 181 [28%] of 643 participants had HIV-1 RNA concentrations of
Published: 2020

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