Automated machine learning plankton taxonomy pipeline

Plankton taxonomy is considered a multi-class classification problem. The current state-of-the-art developments in machine learning and phytoplankton taxonomy, such as MorphoCluster, include using a convolutional neural network as a feature extractor and Hierarchical Density-Based Clustering for the classification of plankton and identification of outliers. These convolutional feature extraction algorithms achieved accuracies of 0.78 during the classification process. However, these feature extraction models are trained on clean datasets. They perform very well when analysing previously encountered and well-defined classes but do not perform well when tested on raw datasets expected in field deployment. Raw plankton datasets are unbalanced; whereas some classes only have one or two samples, others can have thousands. They also exhibit many inter-class similarities with significant size differences. The data can also be in the form of low-resolution, noisy images. Phytoplankton species are also highly biodiverse, meaning that there is always a higher chance of a network encountering unknown sample types. Some samples, such as the various body parts of organisms, are easily confused with the species itself. Marine experts classifying plankton tend to group ambiguous samples according to the highest order to which they are confident they belong. This system leads to a dataset containing conflicting classes and forces the feature extraction network to overfit when training. This research aims to address these spatial issues and present a feature extraction methodology built upon existing research and novel concepts. The proposed algorithm uses feature extraction methods designed around real-world sample sets and offers an alternative approach to optimizing the features extracted and supplied to the clustering algorithm. The proposed feature extraction methods achieved scores of 0.821 when tested on the same datasets as the general feature extractor. The algorithm also consists of Auxiliary SoftMax classification branches which indicate the class prediction obtained by the feature extraction models. These branches allow for autonomous labelling of the clusters formed during the HDBSCAN algorithm being performed on the extracted features. This results in a fully automated semi-supervised plankton taxonomy pipeline which achieves a classification score of 0.775 on a real-life sample set.Thesis (MA) -- Faculty of Engineering, the Built Environment, and Technology, 202

Automated machine learning plankton taxonomy pipeline

Plankton taxonomy is considered a multi-class classification problem. The current state-of-the-art developments in machine learning and phytoplankton taxonomy, such as MorphoCluster, include using a convolutional neural network as a feature extractor and Hierarchical Density-Based Clustering for the classification of plankton and identification of outliers. These convolutional feature extraction algorithms achieved accuracies of 0.78 during the classification process. However, these feature extraction models are trained on clean datasets. They perform very well when analysing previously encountered and well-defined classes but do not perform well when tested on raw datasets expected in field deployment. Raw plankton datasets are unbalanced; whereas some classes only have one or two samples, others can have thousands. They also exhibit many inter-class similarities with significant size differences. The data can also be in the form of low-resolution, noisy images. Phytoplankton species are also highly biodiverse, meaning that there is always a higher chance of a network encountering unknown sample types. Some samples, such as the various body parts of organisms, are easily confused with the species itself. Marine experts classifying plankton tend to group ambiguous samples according to the highest order to which they are confident they belong. This system leads to a dataset containing conflicting classes and forces the feature extraction network to overfit when training. This research aims to address these spatial issues and present a feature extraction methodology built upon existing research and novel concepts. The proposed algorithm uses feature extraction methods designed around real-world sample sets and offers an alternative approach to optimizing the features extracted and supplied to the clustering algorithm. The proposed feature extraction methods achieved scores of 0.821 when tested on the same datasets as the general feature extractor. The algorithm also consists of Auxiliary SoftMax classification branches which indicate the class prediction obtained by the feature extraction models. These branches allow for autonomous labelling of the clusters formed during the HDBSCAN algorithm being performed on the extracted features. This results in a fully automated semi-supervised plankton taxonomy pipeline which achieves a classification score of 0.775 on a real-life sample set.Thesis (MA) -- Faculty of Engineering, the Built Environment, and Technology, 202

Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London

Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study

Background: Surgical site infection (SSI) is one of the most common infections associated with health care, but its importance as a global health priority is not fully understood. We quantified the burden of SSI after gastrointestinal surgery in countries in all parts of the world. Methods: This international, prospective, multicentre cohort study included consecutive patients undergoing elective or emergency gastrointestinal resection within 2-week time periods at any health-care facility in any country. Countries with participating centres were stratified into high-income, middle-income, and low-income groups according to the UN's Human Development Index (HDI). Data variables from the GlobalSurg 1 study and other studies that have been found to affect the likelihood of SSI were entered into risk adjustment models. The primary outcome measure was the 30-day SSI incidence (defined by US Centers for Disease Control and Prevention criteria for superficial and deep incisional SSI). Relationships with explanatory variables were examined using Bayesian multilevel logistic regression models. This trial is registered with ClinicalTrials.gov, number NCT02662231. Findings: Between Jan 4, 2016, and July 31, 2016, 13 265 records were submitted for analysis. 12 539 patients from 343 hospitals in 66 countries were included. 7339 (58·5%) patient were from high-HDI countries (193 hospitals in 30 countries), 3918 (31·2%) patients were from middle-HDI countries (82 hospitals in 18 countries), and 1282 (10·2%) patients were from low-HDI countries (68 hospitals in 18 countries). In total, 1538 (12·3%) patients had SSI within 30 days of surgery. The incidence of SSI varied between countries with high (691 [9·4%] of 7339 patients), middle (549 [14·0%] of 3918 patients), and low (298 [23·2%] of 1282) HDI (p < 0·001). The highest SSI incidence in each HDI group was after dirty surgery (102 [17·8%] of 574 patients in high-HDI countries; 74 [31·4%] of 236 patients in middle-HDI countries; 72 [39·8%] of 181 patients in low-HDI countries). Following risk factor adjustment, patients in low-HDI countries were at greatest risk of SSI (adjusted odds ratio 1·60, 95% credible interval 1·05–2·37; p=0·030). 132 (21·6%) of 610 patients with an SSI and a microbiology culture result had an infection that was resistant to the prophylactic antibiotic used. Resistant infections were detected in 49 (16·6%) of 295 patients in high-HDI countries, in 37 (19·8%) of 187 patients in middle-HDI countries, and in 46 (35·9%) of 128 patients in low-HDI countries (p < 0·001). Interpretation: Countries with a low HDI carry a disproportionately greater burden of SSI than countries with a middle or high HDI and might have higher rates of antibiotic resistance. In view of WHO recommendations on SSI prevention that highlight the absence of high-quality interventional research, urgent, pragmatic, randomised trials based in LMICs are needed to assess measures aiming to reduce this preventable complication

Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. For example, a key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process versus those that measure fl ux through the autophagy pathway (i.e., the complete process including the amount and rate of cargo sequestered and degraded). In particular, a block in macroautophagy that results in autophagosome accumulation must be differentiated from stimuli that increase autophagic activity, defi ned as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (inmost higher eukaryotes and some protists such as Dictyostelium ) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the fi eld understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. It is worth emphasizing here that lysosomal digestion is a stage of autophagy and evaluating its competence is a crucial part of the evaluation of autophagic flux, or complete autophagy. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. Along these lines, because of the potential for pleiotropic effects due to blocking autophagy through genetic manipulation it is imperative to delete or knock down more than one autophagy-related gene. In addition, some individual Atg proteins, or groups of proteins, are involved in other cellular pathways so not all Atg proteins can be used as a specific marker for an autophagic process. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular autophagy assays, we hope to encourage technical innovation in the field

Surgical site infection after gastrointestinal surgery in children : an international, multicentre, prospective cohort study

Introduction Surgical site infection (SSI) is one of the most common healthcare-associated infections (HAIs). However, there is a lack of data available about SSI in children worldwide, especially from low-income and middle-income countries. This study aimed to estimate the incidence of SSI in children and associations between SSI and morbidity across human development settings. Methods A multicentre, international, prospective, validated cohort study of children aged under 16 years undergoing clean-contaminated, contaminated or dirty gastrointestinal surgery. Any hospital in the world providing paediatric surgery was eligible to contribute data between January and July 2016. The primary outcome was the incidence of SSI by 30 days. Relationships between explanatory variables and SSI were examined using multilevel logistic regression. Countries were stratified into high development, middle development and low development groups using the United Nations Human Development Index (HDI). Results Of 1159 children across 181 hospitals in 51 countries, 523 (45 center dot 1%) children were from high HDI, 397 (34 center dot 2%) from middle HDI and 239 (20 center dot 6%) from low HDI countries. The 30-day SSI rate was 6.3% (33/523) in high HDI, 12 center dot 8% (51/397) in middle HDI and 24 center dot 7% (59/239) in low HDI countries. SSI was associated with higher incidence of 30-day mortality, intervention, organ-space infection and other HAIs, with the highest rates seen in low HDI countries. Median length of stay in patients who had an SSI was longer (7.0 days), compared with 3.0 days in patients who did not have an SSI. Use of laparoscopy was associated with significantly lower SSI rates, even after accounting for HDI. Conclusion The odds of SSI in children is nearly four times greater in low HDI compared with high HDI countries. Policies to reduce SSI should be prioritised as part of the wider global agenda.Peer reviewe

Firefly: The Case for a Holistic Understanding of the Global Structure and Dynamics of the Sun and the Heliosphere

This white paper is on the HMCS Firefly mission concept study. Firefly focuses on the global structure and dynamics of the Sun's interior, the generation of solar magnetic fields, the deciphering of the solar cycle, the conditions leading to the explosive activity, and the structure and dynamics of the corona as it drives the heliosphere

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field

Relation of Lipoprotein(a) Levels to Incident Type 2 Diabetes and Modification by Alirocumab Treatment

none1691siOBJECTIVE: In observational data, lower levels of lipoprotein(a) have been associated with greater prevalence of type 2 diabetes. Whether pharmacologic lowering of lipoprotein(a) influences incident type 2 diabetes is unknown. We determined the relationship of lipoprotein(a) concentration with incident type 2 diabetes and effects of treatment with alirocumab, a PCSK9 inhibitor. RESEARCH DESIGN AND METHODS: In the ODYSSEY OUTCOMES trial alirocumab was compared with placebo in patients with acute coronary syndrome. Incident diabetes was determined from laboratory, medication, and adverse event data. RESULTS: Among 13,480 patients without diabetes at baseline, 1,324 developed type 2 diabetes over a median 2.7 years. Median baseline lipoprotein(a) was 21.9 mg/dL. With placebo, 10 mg/dL lower baseline lipoprotein(a) was associated with hazard ratio 1.04 (95% CI 1.02-1.06, P < 0.001) for incident type 2 diabetes. Alirocumab reduced lipoprotein(a) by a median 23.2% with greater absolute reductions from higher baseline levels and no overall effect on incident type 2 diabetes (hazard ratio 0.95, 95% CI 0.85-1.05). At low baseline lipoprotein(a) levels, alirocumab tended to reduce incident type 2 diabetes, while at high baseline lipoprotein(a) alirocumab tended to increase incident type 2 diabetes compared with placebo (treatment-baseline lipoprotein(a) interaction P = 0.006). In the alirocumab group, a 10 mg/dL decrease in lipoprotein(a) from baseline was associated with hazard ratio 1.07 (95% CI 1.03-1.12; P = 0.0002) for incident type 2 diabetes. CONCLUSIONS: In patients with acute coronary syndrome, baseline lipoprotein(a) concentration associated inversely with incident type 2 diabetes. Alirocumab had neutral overall effect on incident type 2 diabetes. However, treatment-related reductions in lipoprotein(a), more pronounced from high baseline levels, were associated with increased risk of incident type 2 diabetes. Whether these findings pertain to other therapies that reduce lipoprotein(a) is undetermined.restrictedSchwartz G.G.; Szarek M.; Bittner V.A.; Bhatt D.L.; Diaz R.; Goodman S.G.; Jukema J.W.; Loy M.; Manvelian G.; Pordy R.; White H.D.; Steg P.G. ODYSSEY OUTCOMES Committees and Investigators: Gregory G Schwartz, Philippe Gabriel Steg, Deepak L Bhatt, Vera A Bittner, Rafael Diaz, Shaun G Goodman, Robert A Harrington, J Wouter Jukema, Michael Szarek, Harvey D White, Andreas M Zeiher, Pierluigi Tricoci, Matthew T Roe, Kenneth W Mahaffey, Jay M Edelberg, Corinne Hanotin, Guillaume Lecorps, Angèle Moryusef, Robert Pordy, William J Sasiela, Jean-François Tamby, Philip E Aylward, Heinz Drexel, Peter Sinnaeve, Mirza Dilic, Renato D Lopes, Nina N Gotcheva, Juan-Carlos Prieto, Huo Yong, Patricio López-Jaramillo, Ivan Pećin, Zeljko Reiner, Petr Ostadal, Margus Viigimaa, Markku S Nieminen, Vakhtang Chumburidze, Nikolaus Marx, Nicolas Danchin, Evangelos Liberopoulos, Pablo Carlos Montenegro Valdovinos, Hung-Fat Tse, Robert Gabor Kiss, Denis Xavier, Doron Zahger, Marco Valgimigli, Takeshi Kimura, Hyo Soo Kim, Sang-Hyun Kim, Andrejs Erglis, Aleksandras Laucevicius, Sasko Kedev, Khalid Yusoff, Gabriel Arturo Ramos López, Marco Alings, Sigrun Halvorsen, Roger M Correa Flores, Andrzej Budaj, Joao Morais, Maria Dorobantu, Yuri Karpov, Arsen D Ristic, Terrance Chua, Jan Murin, Zlatko Fras, Anthony J Dalby, José Tuñón, H Asita de Silva, Emil Hagström, Ulf Landmesser, Chern-En Chiang, Piyamitr Sritara, Sema Guneri, Alexander Parkhomenko, Kausik K Ray, Patrick M Moriarty, Robert Vogel, Bernard Chaitman, Sheryl F Kelsey, Anders G Olsson, Jean-Lucien Rouleau, Maarten L Simoons, Karen Alexander, Chiara Meloni, Robert Rosenson, Eric J G Sijbrands, Pierluigi Tricoci, John H Alexander, Luciana Armaganijan, Akshay Bagai, Maria Cecilia Bahit, J Matthew Brennan, Shaun Clifton, Adam D DeVore, Shalonda Deloatch, Sheila Dickey, Keith Dombrowski, Grégory Ducrocq, Zubin Eapen, Patricia Endsley, Arleen Eppinger, Robert W Harrison, Connie Ng Hess, Mark A Hlatky, Joseph Dedrick Jordan, Joshua W Knowles, Bradley J Kolls, David F Kong, Sergio Leonardi, Linda Lillis, David J Maron, Jill Marcus, Robin Mathews, Rajendra H Mehta, Robert J Mentz, Humberto Graner Moreira, Chetan B Patel, Sabrina Bernardez-Pereira, Lynn Perkins, Thomas J Povsic, Etienne Puymirat, William Schuyler Jones, Bimal R Shah, Matthew W Sherwood, Kenya Stringfellow, Darin Sujjavanich, Mustafa Toma, Charlene Trotter, Sean Van Diepen, Matthew D Wilson, Andrew T Yan, Lilia B Schiavi, Marcelo Garrido, Andrés F Alvarisqueta, Sonia A Sassone, Anselmo P Bordonava, Alberto E Alves De Lima, Jorge M Schmidberg, Ernesto A Duronto, Orlando C Caruso, Leonardo P Novaretto, Miguel Angel Hominal, Oscar R Montaña, Alberto Caccavo, Oscar A Gomez Vilamajo, Alberto J Lorenzatti, Luis R Cartasegna, Gustavo A Paterlini, Ignacio J Mackinnon, Guillermo D Caime, Marcos Amuchastegui, Oscar Salomone, Oscar R Codutti, Horacio O Jure, Julio O E Bono, Adrian D Hrabar, Julio A Vallejos, Rodolfo A Ahuad Guerrero, Federico Novoa, Cristian A Patocchi, Cesar J Zaidman, Maria E Giuliano, Ricardo D Dran, Marisa L Vico, Gabriela S Carnero, Pablo N Guzman, Juan C Medrano Allende, Daniela F Garcia Brasca, Miguel H Bustamante Labarta, Sebastian Nani, Eduardo D S Blumberg, Hugo R Colombo, Alberto Liberman, Victorino Fuentealba, Hector L Luciardi, Gabriel D Waisman, Mario A Berli, Ruben O Garcia Duran, Horacio G Cestari, Hugo A Luquez, Jorge A Giordano, Silvia S Saavedra, Gerardo Zapata, Osvaldo Costamagna, Susana Llois, Jonathon H Waites, Nicholas Collins, Allan Soward, Chris L S Hii, James Shaw, Margaret A Arstall, John Horowitz, Daniel Ninio, James F Rogers, David Colquhoun, Romulo E Oqueli Flores, Philip Roberts-Thomson, Owen Raffel, Sam J Lehman, Constantine Aroney, Steven G M Coverdale, Paul J Garrahy, Gregory Starmer, Mark Sader, Patrick A Carroll, Ronald Dick, Robert Zweiker, Uta Hoppe, Kurt Huber, Rudolf Berger, Georg Delle-Karth, Bernhard Frey, Franz Weidinger, Dirk Faes, Kurt Hermans, Bruno Pirenne, Attilio Leone, Etienne Hoffer, Mathias C M Vrolix, Luc De Wolf, Bart Wollaert, Marc Castadot, Karl Dujardin, Christophe Beauloye, Geert Vervoort, Harry Striekwold, Carl Convens, John Roosen, Emanuele Barbato, Marc Claeys, Frank Cools, Ibrahim Terzic, Fahir Barakovic, Zlatko Midzic, Belma Pojskic, Emir Fazlibegovic, Mehmed Kulić, Azra Durak-Nalbantic, Dusko Vulic, Adis Muslibegovic, Boris Goronja, Gilmar Reis, Luciano Sousa, Jose C Nicolau, Flavio E Giorgeto, Ricardo P Silva, Lilia Nigro Maia, Rafael Rech, Paulo R F Rossi, Maria José A G Cerqueira, Norberto Duda, Renato Kalil, Adrian Kormann, José Antonio M Abrantes, Pedro Pimentel Filho, Ana Priscila Soggia, Mayler O N de Santos, Fernando Neuenschwander, Luiz C Bodanese, Yorghos L Michalaros, Freddy G Eliaschewitz, Maria H Vidotti, Paulo E Leaes, Roberto V Botelho, Sergio Kaiser, Euler Roberto Fernandes Manenti, Dalton B Precoma, Jose C Moura Jorge, Pedro G Silva, Jose A Silveira, Wladmir Saporito, Jose A Marin-Neto, Gilson S Feitosa, Luiz Eduardo F Ritt, Juliana A de Souza, Fernando Costa, Weimar K S B Souza, Helder J L Reis, Leandro Machado, José Carlos Aidar Ayoub, Georgi V Todorov, Fedya P Nikolov, Elena S Velcheva, Maria L Tzekova, Haralambi O Benov, Stanislav L Petranov, Haralin S Tumbev, Nina S Shehova-Yankova, Dimitar T Markov, Dimitar H Raev, Mihail N Mollov, Kostadin N Kichukov, Katya A Ilieva-Pandeva, Raya Ivanova, Maryana Gospodinov, Valentina M Mincheva, Petar V Lazov, Bojidar I Dimov, Manohara Senaratne, James Stone, Jan Kornder, Stephen Pearce, Danielle Dion, Daniel Savard, Yves Pesant, Amritanshu Pandey, Simon Robinson, Gilbert Gosselin, Saul Vizel, Gordon Hoag, Ronald Bourgeois, Anne Morisset, Eric Sabbah, Bruce Sussex, Simon Kouz, Paul MacDonald, Ariel Diaz, Nicolas Michaud, David Fell, Raymond Leung, Tycho Vuurmans, Christopher Lai, Frank Nigro, Richard Davies, Gustavo Nogareda, Ram Vijayaraghavan, John Ducas, Serge Lepage, Shamir Mehta, James Cha, Robert Dupuis, Peter Fong, Sohrab Lutchmedial, Josep Rodes-Cabau, Hussein Fadlallah, David Cleveland, Thao Huynh, Iqbal Bata, Adnan Hameed, Cristian Pincetti, Sergio Potthoff, Monica Acevedo, Arnoldo Aguirre, Margarita Vejar, Mario Yañez, Guillermo Araneda, Mauricio Fernandez, Luis Perez, Paola Varleta, Fernando Florenzano, Laura Huidobro, Carlos A Raffo, Claudia Olivares, Leonardo Nahuelpan, Humberto Montecinos, Jiyan Chen, Yugang Dong, Weijian Huang, Jianzhong Wang, Shi'An Huang, Zhuhua Yao, Xiang Li, Lan Cui, Wenhua Lin, Yuemin Sun, Jingfeng Wang, Jianping Li, Xuelian Zhang, Hong Zhu, Dandan Chen, Lan Huang, Shaohong Dong, Guohai Su, Biao Xu, Xi Su, Xiaoshu Cheng, Jinxiu Lin, Wenxia Zong, Huanming Li, Yi Feng, Dingli Xu, Xinchun Yang, Yuannan Ke, Xuefeng Lin, Zheng Zhang, Zeqi Zheng, Zhurong Luo, Yundai Chen, Chunhua Ding, Yi Zhong, Yang Zheng, Xiaodong Li, Daoquan Peng, Shuiping Zhao, Ying Li, Xuebo Liu, Meng Wei, Shaowen Liu, Yihua Yu, Baiming Qu, Weihong Jiang, Yujie Zhou, Xingsheng Zhao, Zuyi Yuan, Ying Guo, Xiping Xu, Xubo Shi, Junbo Ge, Guosheng Fu, Feng Bai, Weiyi Fang, Xiling Shou, Xiangjun Yang, Jian'An Wang, Meixiang Xiang, Yingxian Sun, Qinghua Lu, Ruiyan Zhang, Jianhua Zhu, Yizhou Xu, Zhongcai Fan, Tianchang Li, Chun Wu, Nicolas Jaramillo, Gregorio Sanchez Vallejo, Diana C Luna Botia, Rodrigo Botero Lopez, Dora I Molina De Salazar, Alberto J Cadena Bonfanti, Carlos Cotes Aroca, Juan Diego Higuera, Marco Blanquicett, Sandra I Barrera Silva, Henry J Garcia Lozada, Julian A Coronel Arroyo, Jose L Accini Mendoza, Ricardo L Fernandez Ruiz, Alvaro M Quintero Ossa, Fernando G Manzur Jatin, Aristides Sotomayor Herazo, Jeffrey Castellanos Parada, Rafael Suarez Arambula, Miguel A Urina Triana, Angela M Fernandez Trujillo, Maja Strozzi, Siniša Car, Melita Jerić, Davor Miličić, Martina Lovrić Benčić, Hrvoje Pintarić, Đeiti Prvulović, Jozica Šikić, Viktor Peršić, Dean Mileta, Kresimir Štambuk, Zdravko Babić, Vjekoslav Tomulic, Josip Lukenda, Stanka Mejic-Krstulovic, Boris Starcevic, Jindrich Spinar, David Horak, Zdenek Velicka, Josef Stasek, David Alan, Vilma Machova, Ales Linhart, Vojtech Novotny, Vladimir Kaucak, Richard Rokyta, Robert Naplava, Zdenek Coufal, Vera Adamkova, Ivo Podpera, Jiri Zizka, Zuzana Motovska, Ivana Marusincova, Premysl Svab, Petr Heinc, Jiri Kuchar, Petr Povolny, Jiri Matuska, Steen H Poulsen, Bent Raungaard, Peter Clemmensen, Lia E Bang, Ole May, Morten Bøttcher, Jens D Hove, Lars Frost, Gunnar Gislason, John Larsen, Peter Betton Johansen, Flemming Hald, Peter Johansen, Jørgen Jeppesen, Tonny Nielsen, Kjeld S Kristensen, Piotr Maria Walichiewicz, Jens D Lomholdt, Ib C Klausen, Peter Kaiser Nielsen, Flemming Davidsen, Lars Videbaek, Mai Soots, Veiko Vahula, Anu Hedman, Üllar Soopõld, Kaja Märtsin, Tiina Jurgenson, Arved Kristjan, Juhani K Airaksinen, Saila Vikman, Heikki Huikuri, Pierre Coste, Emile Ferrari, Olivier Morel, Gilles Montalescot, Jacques Machecourt, Gilles Barone-Rochette, Jacques Mansourati, Yves Cottin, Florence Leclercq, Abdelkader Belhassane, Nicolas Delarche, Franck Boccara, Franck Paganelli, Jérôme Clerc, Francois Schiele, Victor Aboyans, Vincent Probst, Jacques Berland, Thierry Lefèvre, Bernard Citron, Irakli Khintibidze, Tamaz Shaburishvili, Zurab Pagava, Ramaz Ghlonti, Zaza Lominadze, George Khabeishvili, Rayyan Hemetsberger, Kemala Edward, Ursula Rauch-Kröhnert, Matthias Stratmann, Karl-Friedrich Appel, Ekkehard Schmidt, Heyder Omran, Christoph Stellbrink, Thomas Dorsel, Emmanouil Lianopoulos, Hans Friedrich Vöhringer, Roger Marx, Andreas Zirlik, Detlev Schellenberg, Thomas Heitzer, Ulrich Laufs, Christian Werner, Nikolaus Marx, Stephan Gielen, Sebastian Nuding, Bernhard Winkelmann, Steffen Behrens, Karsten Sydow, Mahir Karakas, Gregor Simonis, Thomas Muenzel, Nikos Werner, Stefan Leggewie, Dirk Böcker, Rüdiger Braun-Dullaeus, Nicole Toursarkissian, Michael Jeserich, Matthias Weißbrodt, Tim Schaeufele, Joachim Weil, Heinz Völler, Johannes Waltenberger, Mohammed Natour, Susanne Schmitt, Dirk Müller-Wieland, Stephan Steiner, Lothar Heidenreich, Elmar Offers, Uwe Gremmler, Holger Killat, Werner Rieker, Sotiris Patsilinakos, Athanasios Kartalis, Athanassios Manolis, Dimitrios Sionis, Geargios Chachalis, Ioannis Skoumas, Vasilios Athyros, Panagiotis Vardas, Frangkiskos Parthenakis, Dimitrios Alexopoulos, Georgios Hahalis, John Lekakis, Apostolos Hatzitolios, Sergio R Fausto Ovando, Juan L Arango Benecke, Edgar R Rodriguez De Leon, Bryan P Y Yan, David C W Siu, Tibor Turi, Bela Merkely, Imre Ungi, Geza Lupkovics, Lajos Nagy, András Katona, István Édes, Gábor Müller, Iván Horvath, Tibor Kapin, Zsolt Szigeti, József Faluközy, Mukund Kumbla, Manjinder Sandhu, Sharath Annam, Naveen Reddy Proddutur, Reddy Regella, Rajendra K Premchand, Ajaykumar Mahajan, Sudhir Pawar, Atul D Abhyanakar, Prafulla Kerkar, Ravishankar A Govinda, Abraham Oomman, Dhurjati Sinha, Sachin N Patil, Dhiman Kahali, Jitendra Sawhney, Abhijeet B Joshi, Sanjeev Chaudhary, Pankaj Harkut, Santanu Guha, Sanjay Porwal, Srimannarayana Jujjuru, Ramesh B Pothineni, Minguel R Monteiro, Aziz Khan, Shamanna S Iyengar, Jasprakash Singh Grewal, Manoj Chopda, Mahesh C Fulwani, Aparna Patange, Patil Sachin, Vijay K Chopra, Naresh K Goyal, Rituparna Shinde, Gajendra V Manakshe, Nitin Patki, Sumeet Sethi, Vengatesh Munusamy, Sunil Karna, Sunil Thanvi, Srilakshmi Adhyapak, Chandrakant Patil, Ulhas Pandurangi, Rishabh Mathur, Jugal Gupta, Suhas Kalashetti, Ajit Bhagwat, Bagirath Raghuraman, Shiv Kumar Yerra, Prasant Bhansali, Rohidas Borse, Patil Rahul, Srihari Das, Vinay Kumar, Jabir Abdullakutty, Shireesh Saathe, Priya Palimkar, Shireesh Sathe, Shaul Atar, Michael Shechter, Morris Mosseri, Yaron Arbel, Chorin Ehud, Havakuk Ofer, Chaim Lotan, Uri Rosenschein, Amos Katz, Yaakov Henkin, Adi Francis, Marc Klutstein, Eugenia Nikolsky, Robert Zukermann, Yoav Turgeman, Majdi Halabi, Alon Marmor, Ran Kornowski, Michael Jonas, Offer Amir, Yonathan Hasin, Yoseph Rozenman, Shmuel Fuchs, Vered Zvi, Osamah Hussein, Dov Gavish, Zvi Vered, Yoseph Caraco, Mazen Elias, Naveh Tov, Efrat Wolfovitz, Michael Lishner, Nizar Elias, Giancarlo Piovaccari, Annamaria De Pellegrin, Raffaella Garbelotto, Gabriele Guardigli, Valgimigli Marco, Giovanni Licciardello, Carla Auguadro, Filippo Scalise, Claudio Cuccia, Alessandro Salvioni, Giuseppe Musumeci, Michelle Senni, Paolo Calabrò, Salvatore Novo, Pompilio Faggiano, Marco Metra, Nicoletta B De Cesare, Sergio Berti, Claudio Cavallini, Enrico Puccioni, Marcello Galvani, Maurizio Tespili, Piermarco Piatti, Michela Palvarini, Giuseppe De Luca, Roberto Violini, Alessandro De Leo, Zoran Olivari, Pasquale Perrone Filardi, Maurizio Ferratini, Vittorio Racca, Kazuoki Dai, Yuji Shimatani, Haruo Kamiya, Kenji Ando, Yoshihiro Takeda, Yoshihiro Morino, Yoshiki Hata, Kazuo Kimura, Koichi Kishi, Ichiro Michishita, Hiroki Uehara, Toshinori Higashikata, Atsushi Hirayama, Keiji Hirooka, Yasuji Doi, Satoru Sakagami, Shuichi Taguchi, Akihiro Koike, Hiroyuki Fujinaga, Shinji Koba, Ken Kozuma, Tomohiro Kawasaki, Yujiro Ono, Masatoshi Shimizu, Yousuke Katsuda, Atsuyuki Wada, Toshiro Shinke, Takeshi Kimura, Junya Ako, Kenshi Fujii, Toshiyuki Takahashi, Tomohiro Sakamoto, Koichi Nakao, Yutaka Furukawa, Hiroshi Sugino, Ritsu Tamura, Toshiaki Mano, Masaaki Uematsu, Noriaki Utsu, Kashima Ito, Takuya Haraguchi, Katsuhiko Sato, Yasunori Ueda, Akira Nishibe, Kazuteru Fujimoto, Motomaru Masutani, Jung Han Yoon, Hack-Lyoung Kim, Hun Sik Park, In-Ho Chae, Moo Hyun Kim, Myung Ho Jeong, Seungwoon Rha, Chongjin Kim, Hyo-Soo Kim, Hae Young Kim, Taekjong Hong, Seung-Jea Tahk, Youngkwon Kim, Arija Busmane, Natalija Pontaga, Aldis Strelnieks, Iveta Mintale, Iveta Sime, Zaneta Petrulioniene, Roma Kavaliauskiene, Ruta Jurgaitiene, Gintare Sakalyte, Rimvydas Slapikas, Sigute Norkiene, Nerijus Misonis, Aleksandras Kibarskis, Raimondas Kubilius, Stojko Bojovski, Nensi Lozance, Aleksandar Kjovkaroski, Snezana Doncovska, Tiong Kiam Ong, Sazzli Kasim, Oteh Maskon, Balachandran Kandasamy, Houng B Liew, Wan Mohd Izani Wan Mohamed, Armando García Castillo, Jorge Carrillo Calvillo, Pedro Fajardo Campos, Juan Carlos Núñez Fragoso, Edmundo Alfredo Bayram Llamas, Marco Antonio Alcocer Gamba, Jaime Carranza Madrigal, Luis Gerardo González Salas, Enrique López Rosas, Belinda González Díaz, Eduardo Salcido Vázquez, Alfredo Nacoud Ackar, Guillermo Antonio Llamas Esperón, Carlos Rodolfo Martínez Sánchez, María Guerrero De Leon, Rodrigo Suarez Otero, Guillermo Fanghänel Salmón, Jesús Antonio Pérez Ríos, José Angel Garza Ruíz, Robert W Breedveld, Margriet Feenema-Aardema, Alida Borger-Van Der Burg, Pieter A M Hoogslag, Harry Suryapranata, Antonius Oomen, Paulus Van Haelst, Jacobijne J Wiersma, Dirk Basart, Ruud M A Van Der Wal, Peter Zwart, Pascalle Monraats, Henricus Van Kesteren, Ioannis Karalis, Johan Jukema, Gerardus J E Verdel, Bart R G Brueren, Roland P T Troquay, Eric P Viergever, Nadea Y Y Al-Windy, Gerard L Bartels, Jan H Cornel, Walter R M Hermans, Johannes P R Herrman, Robert J Bos, Reginald G E J Groutars, Coenraad C Van Der Zwaan, Refik Kaplan, Raymond Lionarons, Eelko Ronner, Bjorn E Groenemeijer, Patrick N A Bronzwaer, Anho A H Liem, Bernard J W M Rensing, Marcel J J A Bokern, Remco Nijmeijer, Ferry M R J Hersbach, Frank F Willems, Antonius T M Gosselink, Saman Rasoul, John Elliott, Gerard Wilkins, Raewyn Fisher, Douglas Scott, Hamish Hart, Ralph Stewart, Scott Harding, Ian Ternouth, Nicholas Fisher, Samuel Wilson, Denise Aitken, Russell Anscombe, Laura Davidson, Tadeusz Tomala, Ottar Nygård, Jon Arne Sparby, Kjell Andersen, Lars Gullestad, Jarle Jortveit, Peter S Munk, Erlend Gyllensten Singsaas, Ulf Hurtig, Jorge R Calderon Ticona, Julio R Durand Velasquez, Sandra A Negron Miguel, Enrique S Sanabria Perez, Jesus M Carrion Chambilla, Carlos A Chavez Ayala, Reynaldo P Castillo Leon, Rolando J Vargas Gonzales, Jose D Hernandez Zuniga, Luis A Camacho Cosavalente, Jorge E Bravo Mannucci, Javier Heredia Landeo, Nassip C Llerena Navarro, Yudy M Roldan Concha, Víctor E Rodriguez Chavez, Henry A Anchante Hernandez, Carlos A Zea Nunez, Walter Mogrovejo Ramos, Arthur Ferrolino, Rosa Allyn G Sy, Louie Tirador, Rody G Sy, Generoso Matiga, Raul Martin Coching, Alisa Bernan, Gregorio Rogelio, Dante D Morales, Edgar Tan, Dennis Jose Sulit, Adrian Wlodarczak, Krystyna Jaworska, Grzegorz Skonieczny, Lidia Pawlowicz, Pawel Wojewoda, Benita Busz-Papiez, Janusz Bednarski, Aleksander Goch, Pawel Staneta, Elzbieta Dulak, Krzysztof Saminski, Wlodzimierz Krasowski, Wanda Sudnik, Aleksander Zurakowski, Marcin Skorski, Beata Miklaszewicz, Jacek Kubica, Jan Andrzej Lipko, Edyta Kostarska-Srokosz, Marek Piepiorka, Anna Drzewiecka, Ryszard Sciborski, Arkadiusz Stasiewski, Tomasz Blicharski, Leszek Bystryk, Michal Szpajer, Marek Korol, Tomasz Czerski, Ewa Mirek-Bryniarska, Jacek Gniot, Andrzej Lubinski, Jerzy Gorny, Edward Franek, Grzegorz Raczak, Hanna Szwed, Pedro Monteiro, Jose Mesquita Bastos, Helder H Pereira, Dinis Martins, Filipe Seixo, Carlos Mendonça, Ana Botelho, Francisca Caetano, Bogdan Minescu, Octavian Istratoaie, Dan N Tesloianu, Gabriel Cristian, Silviu Dumitrescu, Cristian G C Podoleanu, Mircea C A Constantinescu, Cristina M Bengus, Constantin Militaru, Doina Rosu, Irinel R Parepa, Adrian V Matei, Tom M Alexandru, Mihaela Malis, Ioan Coman, Rodica Stanescu-Cioranu, Doina Dimulescu, Yury Shvarts, Olga Orlikova, Zhanna Kobalava, Olga L Barbarash, Valentin Markov, Nadezhda Lyamina, Alexander Gordienko, Konstantin Zrazhevsky, Alexander Y Vishnevsky, Victor Gurevich, Raisa Stryuk, Nikita V Lomakin, Igor Bokarev, Tatiana Khlevchuk, Sergey Shalaev, Larisa Khaisheva, Petr Chizhov, Inna Viktorova, Natalya Osokina, Vladimir Shchekotov, Evgenia Akatova, Galina Chumakova, Igor Libov, Mikhail I Voevoda, Tatyana V Tretyakova, Evgeny Baranov, Sergey Shustov, Sergey Yakushin, Ivan Gordeev, Niiaz Khasanov, Olga Reshetko, Tatiana Sotnikova, Olga Molchanova, Konstantin Nikolaev, Liudmila Gapon, Elena Baranova, Zaur Shogenov, Elena Kosmachova, Yuriy Karpov, Anton Povzun, Liudmila Egorova, Vadim V Tyrenko, Igor G Ivanov, Masterov Ilya, Sergey Kanorsky, Dragan Simic, Nikola Ivanovic, Goran Davidovic, Nebojsa Tasic, Milika R Asanin, Stevo Stojic, Svetlana R Apostolovic, Stevan Ilic, Biljana Putnikovic Tosic, Aleksandar Stankovic, Aleksandra Arandjelovic, Slavica Radovanovic, Branislava Todic, Jovan Balinovac, Dragan V Dincic, Petar Seferovic, Ana Karadzic, Slobodan Dodic, Sinisa Dimkovic, Tamara Jakimov, Kian-Keong Poh, Hean Yee Ong, Justin Tang I-Shing, Karol Micko, Jan Nociar, Daniel Pella, Peter Fulop, Marian Hranai, Juraj Palka, Juraj Mazur, Ivan Majercák, Andrej Dzupina, František Fazekas, Jozef Gonsorcik, Viliam Bugan, Juraj Selecky, Gabriel Kamensky, Jaroslava Strbova, Rudolf Smik, Andrej Dukat, Peter Olexa, Ivan Žuran, Janez Poklukar, Nataša Černič Šuligoj, Matija Cevc, Henry P Cyster, Naresh Ranjith, Clive Corbett, Junaid Bayat, Ellen Makoali Makotoko, Hendrik du Toit Theron, Ilse E Kapp, Matthys M de V Basson, Hanlie Lottering, Dina Van Aswegen, Louis J Van Zyl, Peter J Sebastian, Thayabran Pillay, Jan A Saaiman, Patrick J Commerford, Soraya Cassimjee, Garda Riaz, Iftikhar O Ebrahim, Mahomed Sarvan, Joseph H Mynhardt, Helmuth Reuter, Rajendran Moodley, Manuel Vida, Angel R Cequier Fillat, Vicente Bodí Peris, Francisco Fuentes Jimenez, Francisco Marín, Jose M Cruz Fernández, Rafael Jesus Hidalgo Urbano, Blas Gil-Extremera, Pablo Toledo, Fernando Worner Diz, David Garcia-Dorado, Andres Iñiguez, José Tuñón Fernández, Jose R Gonzalez-Juanatey, Javier Fernandez Portales, Fernando Civeira Murillo, Laia Matas Pericas, Jose Luis Zamorano, Manuel De Mora Martin, Jordi Bruguera Cortada, Joaquin J Alonso Martin, Jose Maria Serrano Antolin, José R De Berrazueta Fernández, José Antonio Vázquez de Prada, Jose Francisco Díaz Fernández, José Alberto García Lledó, Juan Cosín Sal