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1. Detecting Stellar Flares in Photometric Data Using Hidden Markov Models

Author: J. Arturo Esquivel, Yunyi Shen, Vianey Leos-Barajas, Gwendolyn Eadie, Joshua S. Speagle, Radu V Craiu, Amber Medina, and James R. A. Davenport
Subjects: Stellar flares, Bayesian statistics, Astrostatistics tools, Time series analysis, M dwarf stars, Stellar activity, Astrophysics, QB460-466
Abstract: We present a hidden Markov model (HMM) for discovering stellar flares in light-curve data of stars. HMMs provide a framework to model time series data that are nonstationary; they allow for systems to be in different states at different times and consider the probabilities that describe the switching dynamics between states. In the context of the discovery of stellar flares, we exploit the HMM framework by allowing the light curve of a star to be in one of three states at any given time step: quiet , firing , or decaying . This three-state HMM formulation is designed to enable straightforward identification of stellar flares, their duration, and associated uncertainty. This is crucial for estimating the flare's energy, and is useful for studies of stellar flare energy distributions. We combine our HMM with a celerite model that accounts for quasiperiodic stellar oscillations. Through an injection recovery experiment, we demonstrate and evaluate the ability of our method to detect and characterize flares in stellar time series. We also show that the proposed HMM flags fainter and lower energy flares more easily than traditional sigma-clipping methods. Lastly, we visually demonstrate that simultaneously conducting detrending and flare detection can mitigate biased estimations arising in multistage modeling approaches. Thus, this method paves a new way to calculate stellar flare energy. We conclude with an example application to one star observed by TESS, showing how the HMM compares with sigma clipping when using real data.
Published: 2025
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2. Constraining the Selection-corrected Luminosity Function and Total Pulse Count for Radio Transients

Author: Fengqiu Adam Dong, Antonio Herrera-Martin, Ingrid Stairs, Radu V. Craiu, Kathryn Crowter, Gwendolyn M. Eadie, Emmanuel Fonseca, Deborah Good, James W. Mckee, Bradley W. Meyers, Aaron B. Pearlman, and David C. Stenning
Subjects: Radio pulsars, Radio transient sources, Neutron stars, Compact objects, Astrophysics, QB460-466
Abstract: Studying transient phenomena, such as individual pulses from pulsars, has garnered considerable attention in the era of astronomical big data. Of specific interest to this study are rotating radio transients (RRATs), nulling, and intermittent pulsars. This study introduces a new algorithm named LuNfit, tailored to correct the selection biases originating from the telescope and detection pipelines. Ultimately LuNfit estimates the intrinsic luminosity distribution and nulling fraction of the single pulses emitted by pulsars. LuNfit relies on Bayesian nested sampling so that the parameter space can be fully explored. Bayesian nested sampling also provides the additional benefit of simplifying model comparisons through the Bayes ratio. The robustness of LuNfit is shown through simulations and applying LuNfit onto pulsars with known nulling fractions. LuNfit is then applied to three RRATs, J0012+5431, J1538+1523, and J2355+1523, extracting their intrinsic luminosity distribution and burst rates. We find that their nulling fractions are 0.4(2), 0.749(5), and 0.995(2), respectively. We further find that a log-normal distribution likely describes the single pulse luminosity distribution of J0012+5431 and J1538+1523, while the Bayes ratio for J2355+1523 slightly favors an exponential distribution. We show the conventional method of correcting selection effects by “scaling up” the missed fraction of radio transients can be unreliable when the mean luminosity of the source is faint relative to the telescope sensitivity. Finally, we discuss the limitations of the current implementation of LuNfit while also delving into potential enhancements that would enable LuNfit to be applied to sources with complex pulse morphologies.
Published: 2024
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3. Bayesian nonparametric mixtures of Archimedean copulas

Author: Pan, Ruyi, Nieto-Barajas, Luis E., and Craiu, Radu V.
Subjects: Statistics - Methodology
Abstract: Copula-based dependence modelling often relies on parametric formulations. This is mathematically convenient but can be statistically inefficient if the parametric families are not suitable for the data and model in focus. To improve the flexibility in modeling dependence, we consider a Bayesian nonparametric mixture model of Archimedean copulas which can capture complex dependence patterns and can be extended to arbitrary dimensions. In particular we use the Poisson-Dirichlet process as mixing distribution over the single parameter of the Archimedean copulas. Properties of the mixture model are studied for the main Archimedenan families and posterior distributions are sampled via their full conditional distributions. Performance of the model is via numerical experiments involving simulated and real data.
Published: 2024

4. Rare Event Classification with Weighted Logistic Regression for Identifying Repeating Fast Radio Bursts

Author: Herrera-Martin, Antonio, Craiu, Radu V., Eadie, Gwendolyn M., Stenning, David C., Bingham, Derek, Gaensler, Bryan M., Pleunis, Ziggy, Scholz, Paul, Mckinven, Ryan, Kharel, Bikash, and Masui, Kiyoshi W.
Subjects: Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics, Statistics - Applications
Abstract: An important task in the study of fast radio bursts (FRBs) remains the automatic classification of repeating and non-repeating sources based on their morphological properties. We propose a statistical model that considers a modified logistic regression to classify FRB sources. The classical logistic regression model is modified to accommodate the small proportion of repeaters in the data, a feature that is likely due to the sampling procedure and duration and is not a characteristic of the population of FRB sources. The weighted logistic regression hinges on the choice of a tuning parameter that represents the true proportion $\tau$ of repeating FRB sources in the entire population. The proposed method has a sound statistical foundation, direct interpretability, and operates with only 5 parameters, enabling quicker retraining with added data. Using the CHIME/FRB Collaboration sample of repeating and non-repeating FRBs and numerical experiments, we achieve a classification accuracy for repeaters of nearly 75\% or higher when $\tau$ is set in the range of $50$ to $60$\%. This implies a tentative high proportion of repeaters, which is surprising, but is also in agreement with recent estimates of $\tau$ that are obtained using other methods., Comment: 16 pages, 7 figures. Submitted to ApJ
Published: 2024

5. Pattern of tamoxifen-induced Tie2 deletion in endothelial cells in mature blood vessels using endo SCL-Cre-ERT transgenic mice

Author: Peter J. Zwiers, Rianne M. Jongman, Timara Kuiper, Jill Moser, Radu V. Stan, Joachim R. Göthert, Matijs van Meurs, Eliane R. Popa, and Grietje Molema
Subjects: Medicine, Science
Abstract: Tyrosine-protein kinase receptor Tie2, also known as Tunica interna Endothelial cell Kinase or TEK plays a prominent role in endothelial responses to angiogenic and inflammatory stimuli. Here we generated a novel inducible Tie2 knockout mouse model, which targets mature (micro)vascular endothelium, enabling the study of the organ-specific contribution of Tie2 to these responses. Mice with floxed Tie2 exon 9 alleles (Tie2floxed/floxed) were crossed with end-SCL-Cre-ERT transgenic mice, generating offspring in which Tie2 exon 9 is deleted in the endothelial compartment upon tamoxifen-induced activation of Cre-recombinase (Tie2ΔE9). Successful deletion of Tie2 exon 9 in kidney, lung, heart, aorta, and liver, was accompanied by a heterogeneous, organ-dependent reduction in Tie2 mRNA and protein expression. Microvascular compartment-specific reduction in Tie2 mRNA and protein occurred in arterioles of all studied organs, in renal glomeruli, and in lung capillaries. In kidney, lung, and heart, reduced Tie2 expression was accompanied by a reduction in Tie1 mRNA expression. The heterogeneous, organ- and microvascular compartment-dependent knockout pattern of Tie2 in the Tie2floxed/floxed;end-SCL-Cre-ERT mouse model suggests that future studies using similar knockout strategies should include a meticulous analysis of the knockout extent of the gene of interest, prior to studying its role in pathological conditions, so that proper conclusions can be drawn.
Published: 2022

6. New system of mesh fixation for „onlay hernia repair', based on a new principle – „the equally-distributed-tension principle' – innovative surgical technique

Author: Radu V. COSTIN
Subjects: continuous thread fixation, transversal loops threads, Medicine, Medicine (General), R5-920
Abstract: Introduction. This article presents a new mesh fixation technique for “onlay hernia repair”, based on a new principle – the “Equally-Distributed-Tension Principle”. Methods. The fixation technique is based on a continuous suture, different from any other continuous suture, with no stiffened points of attachment. It allows a slight glide of the thread, making possible the equally-distribution of tension. Based on this technique it is possible to realize a mesh fixation under tension. The „tension-free” concept is not suitable for ventral hernias. The mesh should be sutured under tension – the only way to remove the tension from the midline suture and offer the posibility for the aponeurotic layer to heal and regain its strenght. A new fixation system is necessary, a more efficient one, that will sustain this tension, without failure. In the same time, this system is the only one capable to realize an uniform distribution of tension. Results. Between February 2016 and November 2018, 49 patients were treated by this method in the Ilfov County Emergency Hospital, Bucharest, Romania, with only one recurrence until now (a bridging technique was used in this case). Conclusions. The new suture system is very easy to apply, very fast, extremely reliable and offers the posibility to manage a large variety of ventral hernias.
Published: 2019
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7. RADIOCARON DATA OF FUNERARY DESCOVERIES FROM MIDDLE BRONZE AGE IN THE MUREȘ VALLEY. THE WIETENBERG CEMETERY FROM LIMBA-OARDA DE JOS (ALBA COUNTY, ROMANIA)

Author: Marius-Mihai Ciută, Colin P. Quinn, and Radu V. Totoianu
Subjects: Archaeology, CC1-960, Ancient history, D51-90
Abstract: The archaeological rescue excavations occasioned by the construction of the Lot no. 1 of the Highway no. 10, Sebeș-Turda, highlighted an unexpected Bronze Age necropolis belonging to Wietenberg Culture. The Bronze Age necropolis was delimited between 6+600 and 6+650 kilometers, and located on the southwestern part of the Site no. 6, right above the early Vinča settlement defensive trenches (Fig. 1-2). With 74 excavated funerary complexes, the partially excavated Wietenberg cemetery is one of the largest in Transylvania. According the radiocarbon data presented in this study, the necropolis was used in the Middle Bronze Age (1780-1690 cal. BC), associated with the Wietenberg culture (phase II), and is contemporary with the end of the cemetery from Sebeș-Între Răstoace located approximately 7.5 km South - South-West, on the Sebeș River terraces.
Published: 2021
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8. Molecular mechanisms of psychiatric diseases

Author: Ilya O. Blokhin, Olga Khorkova, Radu V. Saveanu, and Claes Wahlestedt
Subjects: Schizophrenia, Major depressive disorder, Alcohol use disorder, Non-coding RNAs, Splicing, DNA methylation, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: For most psychiatric diseases, pathogenetic concepts as well as paradigms underlying neuropsychopharmacologic approaches currently revolve around neurotransmitters such as dopamine, serotonin, and norepinephrine. However, despite the fact that several generations of neurotransmitter-based psychotropics including atypical antipsychotics, selective serotonin reuptake inhibitors, and serotonin-norepinephrine reuptake inhibitors are available, the effectiveness of these medications is limited, and relapse rates in psychiatric diseases are relatively high, indicating potential involvement of other pathogenetic pathways.Indeed, recent high-throughput studies in genetics and molecular biology have shown that pathogenesis of major psychiatric illnesses involves hundreds of genes and numerous pathways via such fundamental processes as DNA methylation, transcription, and splicing. Current review summarizes these and other molecular mechanisms of such psychiatric illnesses as schizophrenia, major depressive disorder, and alcohol use disorder and suggests a conceptual framework for future studies.
Published: 2020
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9. The Hiring Gambit: In Search of the Twofer Data Scientist

Author: Radu V. Craiu
Subjects: Electronic computers. Computer science, QA75.5-76.95
Published: 2019
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10. Perfecting MCMC Sampling: Recipes and Reservations

Author: Craiu, Radu V. and Meng, Xiao-Li
Subjects: Statistics - Computation
Abstract: This review paper is intended for the Handbook of Markov chain Monte Carlo's second edition. The authors will be grateful for any suggestions that could perfect it.
Published: 2024

11. VEGFR2 pY949 signalling regulates adherens junction integrity and metastatic spread

Author: Xiujuan Li, Narendra Padhan, Elisabet O. Sjöström, Francis P. Roche, Chiara Testini, Naoki Honkura, Miguel Sáinz-Jaspeado, Emma Gordon, Katie Bentley, Andrew Philippides, Vladimir Tolmachev, Elisabetta Dejana, Radu V. Stan, Dietmar Vestweber, Kurt Ballmer-Hofer, Christer Betsholtz, Kristian Pietras, Leif Jansson, and Lena Claesson-Welsh
Subjects: Science
Abstract: Signals through VEGF receptor 2 (VEGFR2) increase vascular permeability, promoting cancer progression. Here the authors show that a point mutation in VEGFR2 preventing its auto-phosphorylation leads to reduced metastatic spread and improved response to chemotherapy in tumor-bearing mice, without affecting tumor inflammation.
Published: 2016
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12. ASPECTE CLINICO-EVOLUTIVE ALE INFECŢIEI URINARE LA PREMATUR

Author: Magdalena I. Starcea, Mihaela Munteanu, Radu V. Russu, Ovidiu Brumariu, Delia Andreia Bizim, and Ingrith C. Miron
Subjects: infecţie urinară, prematuritate, anomalii congenitale renale, copii 0-3 ani, Medicine, Pediatrics, RJ1-570
Abstract: Obiectiv. Studiul îşi propune analiza comparativă a cazurilor de ITU la copii 0-3 ani (prematuri şi născuţi la termen) internaţi în Clinica IV Pediatrie Iaşi, între ian. 2007 – dec. 2011. Material şi metodă. Am efectuat un studiu retrospectiv pe un lot de 298 de copii între 0-3 ani, internaţi cu infecţie de tract urinar (ITU). Au fost urmărite particularităţile ITU la prematur în funcţie de gradul prematurităţii, etiologia ITU, comorbidităţi, aspecte evolutive, responsivitate la tratament şi impactul ITU asupra rinichiului. Rezultate. Lotul de studiu a fost alcătuit împărţit în copii născuţi la termen şi copii născuţi prematur, la vârstă gestaţională mai mică de 37 săptămâni, cu greutatea mai mică de 2.500 g. Riscul ITU la prematur este infl uenţat de vârstă, fi ind de 3 ori mai mare la nou născutul prematur faţă de copilul 1-3 ani. Vârsta medie a fost de 8,8 luni la prematuri şi 14,09 luni la născuţii la termen. Cei mai mulţi copii s-au încadrat în gradul LBW. Etiologia infecţiei urinare a fost dominată la ambele subloturi de Escherichia coli, Proteus mirabilis şi Klebsiella pneumoniae. La prematuri, bacteriile oportuniste (bacil Piocianic, Enterococ, Acinetobacter) determină 16% din ITU, faţă de doar 2% la copii născuţi la termen. Febra a fost semnul clinic dominant la toţi pacienţii. În ordinea frecvenţei, celelalte semne prezente la prematuri au fost inapetenţa, icter prelungit, diaree, detresă respiratorie. Debutul prin insufi cienţă renală acută s-a înregistrat la 12,5% dintre prematuri şi doar 1% dintre copii născuţi la termen. Tratamentul antibiotic iniţiat empiric a fost efi cient la majoritatea cazurilor. Cel mai frecvent implicate în rezistenţa microbiană au fost aminopenicilinele, Trimetoprim-Sulfmetoxazolul şi Cefalosporine. Concluzii. Diagnosticul prompt şi tratamentul adaptat au un rol important în reducerea morbidităţii infecţioase, a riscului de cicatrici renale şi a reabilitării nutriţionale rapide a prematurului.
Published: 2014
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13. CLINICAL ASPECTS AND EVOLUTION OF URINARY TRACT INFECTION IN PRETERM INFANTS

Author: Magdalena I. Starcea, Mihaela Munteanu, Radu V. Russu, Ovidiu Brumariu, Delia Andreia Bizim, and Ingrith C. Miron
Subjects: urinary tract infection, preterm infant, cakut, e.coli, Medicine, Pediatrics, RJ1-570
Abstract: Objective. The aim of the study is a comparative analysis of cases of UTI in children 0-3 years (preterm and term infants) admitted to the IVth Pediatric Clinic , “Sf. Maria” Emergency Hospital for Children, Iasi, between January 2007 – December 2011. Material and methods. We performed a retrospective study on a group of 298 children, age 0-3 years, hospitalized with urinary tract infection (UTI). We identifi ed the features of preterm infants with UTI according to the degree of prematurity, UTI etiology, comorbidities, developmental issues, responsiveness to treatment, and impact of UTI on kidney. Results. The study group was divided into term and preterm children (defi ned as gestational age less than 37 weeks, weighing less than 2500g). Preterm UTI risk was infl uenced by age, being 3 times higher compared with children aged 1-3 years. The average age of UTI was 8.8 months for preterms and 14.09 months for term babies. Most preterm children were classifi ed in LBW category. The etiology of urinary infection was dominated in both subgroups by E. coli, Proteus mirabilis and Klebsiella pneumoniae. In preterm children, opportunistic bacteria (bacillus Pseudomonas, enterococci, Acinetobacter) determined 16% of UTIs, compared to only 2% in term children. Fever was the dominant clinical sign in all patients. Other signs on preterms were loss of appetite, prolonged jaundice, diarrhea, respiratory distress. The onset of acute renal failure occurred in 12.5% of preterm and only 1% of term children. First line antibiotherapy was effective in most cases. In microbial resistance, the most frequently involved were aminopenicillins, Sulfamethoxazole-Trimethoprim and cephalosporins. Conclusions. The early diagnosis and treatment have an important role in reducing infectious morbidity, the risk of renal scarring and rapid nutritional rehabilitation in preterm infants.
Published: 2014
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14. RATA INFECŢIILOR URINARE LA COPIII CU HIDRONEFROZĂ CONGENITALĂ DEPISTAŢI ANTENATAL

Author: Delia Andreia Bizim, Mihaela Munteanu, Radu V. Russu, Ovidiu Brumariu, and Ingrith C. Miron
Subjects: hidronefroză congenitală, infecţie urinară, uroprofi laxie, diagnostic antenatal, hidronefroză antenatală, infecţii urinare recidivante, Medicine, Pediatrics, RJ1-570
Abstract: Nou –născuţii depistaţi antenatal cu hidronefroză sunt supuşi unui risc de 12 ori mai mare de a dezvolta o pielonefrită acută. În prezenta lucrare am evaluat frecvenţa infecţiilor urinare pe un lot de 87 de pacienţi cu hidronefroză congenitală depistată antenatal (raport B:F = 2,95:1).Durata medie de urmărire a fost de 20,22 luni. 49,42% dintre copii au prezentat infecţii urinare, rata recidivelor(≥ 2 episoade infecţioase) fi ind de 53,8%. Funcţie de gradul hidronefrozei, frecvenţa infectiilor urinare a fost între 37,5-41,37% în cazul HN grad I-II şi între 57-71% în cazul HN grad III-V (p=0,0402, CI 95%, HN gr.I-II comparativ cu HN gr. III-V).Am găsit o corelatie pozitivă dar slabă între gradul HN şi numărul de episoade infecţioase (rS =0,224, p=0.036, CI 95%) semnifi cativă statistic.60,52% din pacienţii cu istoric de ITU au prezentat infecţii urinare sub uroprofi laxie. Cefaclor a fost cel mai utilizat antibiotic.În etiologia infecţiilor urinare E coli a fost implicat în 36,35 % din cazuri, iar Klebsiella pn. în 25 %. Având în vedere frecvenţa crescută a infecţiilor urinare în acest lot este necesară o urmărire mai indelungată a acestor copii pentru depistarea precoce a afectării renale.
Published: 2011
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15. Mutations in Plasmalemma Vesicle Associated Protein Result in Sieving Protein-Losing Enteropathy Characterized by Hypoproteinemia, Hypoalbuminemia, and HypertriglyceridemiaSummary

Author: Abdul Elkadri, Cornelia Thoeni, Sophie J. Deharvengt, Ryan Murchie, Conghui Guo, James D. Stavropoulos, Christian R. Marshall, Paul Wales, Robert H.J. Bandsma, Ernest Cutz, Chaim M. Roifman, David Chitayat, Yaron Avitzur, Radu V. Stan, and Aleixo M. Muise
Subjects: Diseases of the digestive system. Gastroenterology, RC799-869
Abstract: Background & Aims: Severe intestinal diseases observed in very young children are often the result of monogenic defects. We used whole-exome sequencing (WES) to examine genetics in a patient with a distinct severe form of protein-losing enteropathy (PLE) characterized by hypoproteinemia, hypoalbuminemia, and hypertriglyceridemia. Methods: WES was performed at the Centre for Applied Genomics, Hospital for Sick Children, Toronto, Canada, and exome library preparation was performed with the Ion Torrent AmpliSeq RDY Exome Kit. Functional studies were based on the identified mutation. Results: Using WES we identified a homozygous nonsense mutation (1072C>T; p.Arg358*) in the PLVAP (plasmalemma vesicle-associated protein) gene in an infant from consanguineous parents who died at 5 months of age of severe PLE. Functional studies determined that the mutated PLVAP mRNA and protein were not expressed in the patient biopsy tissues, presumably secondary to nonsense-mediated mRNA decay. Pathological analysis showed that the loss of PLVAP resulted in disruption of endothelial fenestrated diaphragms. Conclusions: The PLVAP p.Arg358* mutation resulted in the loss of PLVAP expression with subsequent deletion of the diaphragms of endothelial fenestrae, which led to plasma protein extravasation, PLE, and ultimately death. Keywords: Endothelium, Fenestrae, Hypertriglyceridemia, Hypoalbuminemia, Hypoproteinemia, Very Early Onset Inflammatory Bowel Disease, Monogenic Diseases, Protein-Losing Enteropathy, Whole-Exome Sequencing
Published: 2015
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16. Approximate Methods for Bayesian Computation

Author: Craiu, Radu V. and Levi, Evgeny
Subjects: Statistics - Computation
Abstract: Rich data generating mechanisms are ubiquitous in this age of information and require complex statistical models to draw meaningful inference. While Bayesian analysis has seen enormous development in the last 30 years, benefitting from the impetus given by the successful application of Markov chain Monte Carlo (MCMC) sampling, the combination of big data and complex models conspire to produce significant challenges for the traditional MCMC algorithms. We review modern algorithmic developments addressing the latter and compare their performance using numerical experiments., Comment: 20 pages
Published: 2022

17. Copula Modelling of Serially Correlated Multivariate Data with Hidden Structures

Author: Zimmerman, Robert, Craiu, Radu V., and Leos-Barajas, Vianey
Subjects: Statistics - Methodology, Mathematics - Statistics Theory, Statistics - Computation, 62-08 (Primary) 62H05, 62H12 (Secondary)
Abstract: We propose a copula-based extension of the hidden Markov model (HMM) which applies when the observations recorded at each time in the sample are multivariate. The joint model produced by the copula extension allows decoding of the hidden states based on information from multiple observations. However, unlike the case of independent marginals, the copula dependence structure embedded into the likelihood poses additional computational challenges. We tackle the latter using a theoretically-justified variation of the EM algorithm developed within the framework of inference functions for margins. We illustrate the method using numerical experiments and an analysis of house occupancy., Comment: 31 pages, 6 figures
Published: 2022
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18. Six Statistical Senses

Author: Craiu, Radu V., Gong, Ruobin, and Meng, Xiao-Li
Subjects: Statistics - Other Statistics, 62A01, 62-02
Abstract: This article proposes a set of categories, each one representing a particular distillation of important statistical ideas. Each category is labeled a "sense" because we think of these as essential in helping every statistical mind connect in constructive and insightful ways with statistical theory, methodologies, and computation, toward the ultimate goal of building statistical phronesis. The illustration of each sense with statistical principles and methods provides a sensical tour of the conceptual landscape of statistics, as a leading discipline in the data science ecosystem.
Published: 2022

19. Caveolae, fenestrae and transendothelial channels retain PV1 on the surface of endothelial cells.

Author: Eugene Tkachenko, Dan Tse, Olga Sideleva, Sophie J Deharvengt, Marcus R Luciano, Yan Xu, Caitlin L McGarry, John Chidlow, Paul F Pilch, William C Sessa, Derek K Toomre, and Radu V Stan
Subjects: Medicine, Science
Abstract: PV1 protein is an essential component of stomatal and fenestral diaphragms, which are formed at the plasma membrane of endothelial cells (ECs), on structures such as caveolae, fenestrae and transendothelial channels. Knockout of PV1 in mice results in in utero and perinatal mortality. To be able to interpret the complex PV1 knockout phenotype, it is critical to determine whether the formation of diaphragms is the only cellular role of PV1. We addressed this question by measuring the effect of complete and partial removal of structures capable of forming diaphragms on PV1 protein level. Removal of caveolae in mice by knocking out caveolin-1 or cavin-1 resulted in a dramatic reduction of PV1 protein level in lungs but not kidneys. The magnitude of PV1 reduction correlated with the abundance of structures capable of forming diaphragms in the microvasculature of these organs. The absence of caveolae in the lung ECs did not affect the transcription or translation of PV1, but it caused a sharp increase in PV1 protein internalization rate via a clathrin- and dynamin-independent pathway followed by degradation in lysosomes. Thus, PV1 is retained on the cell surface of ECs by structures capable of forming diaphragms, but undergoes rapid internalization and degradation in the absence of these structures, suggesting that formation of diaphragms is the only role of PV1.
Published: 2012
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20. Measuring the severity of multi-collinearity in high dimensions

Author: Deng, Wei Q., Craiu, Radu V., and Sun, Lei
Subjects: Statistics - Methodology, Statistics - Applications
Abstract: Multi-collinearity is a wide-spread phenomenon in modern statistical applications and when ignored, can negatively impact model selection and statistical inference. Classic tools and measures that were developed for "$n>p$" data are not applicable nor interpretable in the high-dimensional regime. Here we propose 1) new individualized measures that can be used to visualize patterns of multi-collinearity, and subsequently 2) global measures to assess the overall burden of multi-collinearity without limiting the observed data dimensions. We applied these measures to genomic applications to investigate patterns of multi-collinearity in genetic variations across individuals with diverse ancestral backgrounds. The measures were able to visually distinguish genomic regions of excessive multi-collinearity and contrast the level of multi-collinearity between different continental populations.
Published: 2022

21. Living on the Edge: An Unified Approach to Antithetic Sampling

Author: Casarin, Roberto, Craiu, Radu V., Frattarolo, Lorenzo, and Robert, Christian P.
Subjects: Statistics - Methodology, 65c05, 65c10, 62h05
Abstract: We identify recurrent ingredients in the antithetic sampling literature leading to a unified sampling framework. We introduce a new class of antithetic schemes that includes the most used antithetic proposals. This perspective enables the derivation of new properties of the sampling schemes: i) optimality in the Kullback-Leibler sense; ii) closed-form multivariate Kendall's $\tau$ and Spearman's $\rho$; iii)ranking in concordance order and iv) a central limit theorem that characterizes stochastic behavior of Monte Carlo estimators when the sample size tends to infinity. Finally, we provide applications to Monte Carlo integration and Markov Chain Monte Carlo Bayesian estimation.
Published: 2021

22. Markov switching multiple-equation tensor regressions

Author: Casarin, Roberto, Craiu, Radu V., and Wang, Qing
Published: 2025
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23. Double Happiness: Enhancing the Coupled Gains of L-lag Coupling via Control Variates

Author: Craiu, Radu V. and Meng, Xiao-Li
Subjects: Statistics - Computation
Abstract: The recently proposed L-lag coupling for unbiased Markov chain Monte Carlo (MCMC) calls for a joint celebration by MCMC practitioners and theoreticians. For practitioners, it circumvents the thorny issue of deciding the burn-in period or when to terminate an MCMC sampling process, and opens the door for safe parallel implementation. For theoreticians, it provides a powerful tool to establish elegant and easily estimable bounds on the exact error of an MCMC approximation at any finite number of iterates. A serendipitous observation about the bias-correcting term leads us to introduce naturally available control variates into the L-lag coupling estimators. In turn, this extension enhances the coupled gains of L-lag coupling, because it results in more efficient unbiased estimators, as well as a better bound on the total variation error of MCMC iterations, albeit the gains diminish as L increases. Specifically, the new upper bound is theoretically guaranteed to never exceed the one given previously. We also argue that L-lag coupling represents a coupling for the future, breaking from the coupling-from-the-past type of perfect sampling, by reducing the generally unachievable requirement of being perfect to one of being unbiased, a worthwhile trade-off for ease of implementation in most practical situations. The theoretical analysis is supported by numerical experiments that show tighter bounds and a gain in efficiency when control variates are introduced.
Published: 2020

24. Assessing Data Support for the Simplifying Assumption in Bivariate Conditional Copulas

Author: Levi, Evgeny and Craiu, Radu V
Subjects: Statistics - Methodology
Abstract: The paper considers the problem of establishing data support for the simplifying assumption (SA) in a bivariate conditional copula model. It is known that SA greatly simplifies the inference for a conditional copula model, but standard tools and methods for testing SA tend to not provide reliable results. After splitting the observed data into training and test sets, the method proposed will use a flexible training data Bayesian fit to define tests based on randomization and standard asymptotic theory. Theoretical justification for the method is provided and its performance is studied using simulated data. The paper also discusses implementations in alternative models of interest, e.g. Gaussian, Logistic and Quantile regressions.
Published: 2019

25. Finding our Way in the Dark: Approximate MCMC for Approximate Bayesian Methods

Author: Levi, Evgeny and Craiu, Radu V.
Subjects: Statistics - Computation
Abstract: With larger data at their disposal, scientists are emboldened to tackle complex questions that require sophisticated statistical models. It is not unusual for the latter to have likelihood functions that elude analytical formulations. Even under such adversity, when one can simulate from the sampling distribution, Bayesian analysis can be conducted using approximate methods such as Approximate Bayesian Computation (ABC) or Bayesian Synthetic Likelihood (BSL). A significant drawback of these methods is that the number of required simulations can be prohibitively large, thus severely limiting their scope. In this paper we design perturbed MCMC samplers that can be used within the ABC and BSL paradigms to significantly accelerate computation while maintaining control on computational efficiency. The proposed strategy relies on recycling samples from the chain's past. The algorithmic design is supported by a theoretical analysis while practical performance is examined via a series of simulation examples and data analyses.
Published: 2019

26. DOUBLE HAPPINESS : ENHANCING THE COUPLED GAINS OF L-LAG COUPLING VIA CONTROL VARIATES

Author: Craiu, Radu V. and Meng, Xiao-Li
Published: 2022

27. VQ-Flows: Vector quantized local normalizing flows.

Author: Sahil Sidheekh, Chris B. Dock, Tushar Jain, Radu V. Balan, and Maneesh Kumar Singh 0001
Published: 2022

28. Quantum sensing in a physiological-like cell niche using fluorescent nanodiamonds embedded in electrospun polymer nanofibers

Author: Price, J. C., Levett, S. J., Radu, V., Simpson, D. A., Barcons, A. Mogas, Adams, C. F., and Mather, M. L.
Subjects: Physics - Applied Physics, Quantitative Biology - Quantitative Methods, Quantum Physics
Abstract: Fluorescent nanodiamonds (fNDs) containing Nitrogen Vacancy (NV) centres are promising candidates for quantum sensing in biological environments. However, to date, there has been little progress made to combine the sensing capabilities of fNDs with biomimetic substrates used in the laboratory to support physiologically representative cell behaviour. This work describes the fabrication and implementation of electrospun Poly Lactic-co-Glycolic Acid (PLGA) nanofibers embedded with fNDs for optical quantum sensing in an environment, which recapitulates the nanoscale architecture and topography of the cell niche. A range of solutions for electrospinning was prepared by mixing fNDs in different combinations of PLGA and it was shown that fND distribution was highly dependent on PLGA and solvent concentrations. The formulation that produced uniformly dispersed fNDs was identified and subsequently electrospun into nanofibers. The resulting fND nanofibers were characterised using fluorescent microscopy and Scanning Electron Microscopy (SEM). Quantum measurements were also performed via optically detected magnetic resonance (ODMR) and longitudinal spin relaxometry. Time varying magnetic fields external to the fND nanofibers were detected using continuous wave ODMR to demonstrate the sensing capability of the embedded fNDs. The potential utility of fND embedded nanofibers for use as biosensors in physiological environments was demonstrated by their ability to support highly viable populations of differentiated neural stem cells, a major therapeutic population able to produce electrically active neuronal circuits. The successful acquisition of ODMR spectra from the fNDs in the presence of live cells was also demonstrated on cultures of differentiating neural stem cells., Comment: 26 pages, 7 figures
Published: 2018

29. The X Factor: A Robust and Powerful Approach to X-chromosome-Inclusive Whole-genome Association Studies

Author: Chen, Bo, Craiu, Radu V., Strug, Lisa J., and Sun, Lei
Subjects: Statistics - Applications
Abstract: The X-chromosome is often excluded from genome-wide association studies because of analytical challenges. Some of the problems, such as the random, skewed or no X-inactivation model uncertainty, have been investigated. Other considerations have received little to no attention, such as the value in considering non-additive and gene-sex interaction effects, and the inferential consequence of choosing different baseline alleles (i.e.\ the reference vs.\ the alternative allele). Here we propose a unified and flexible regression-based association test for X-chromosomal variants. We provide theoretical justifications for its robustness in the presence of various model uncertainties, as well as for its improved power when compared with the existing approaches under certain scenarios. For completeness, we also revisit the autosomes and show that the proposed framework leads to a more robust approach than the standard method. Finally, we provide supporting evidence by revisiting several published association studies. Supplementary materials for this article are available online.
Published: 2018

30. Motion Correction for Brain MRI Using Deep Learning and a Novel Hybrid Loss Function.

Author: Lei Zhang 0036, Xiaoke Wang, Michael G. Rawson, Radu V. Balan, Edward H. Herskovits, Elias R. Melhem, Linda Chang, Ze Wang 0003, and Thomas Ernst 0001
Published: 2024
Full Text: View/download PDF

31. Elective surgery system strengthening: development, measurement, and validation of the surgical preparedness index across 1632 hospitals in 119 countries

Author: Glasbey, James C, Abbott, Tom EF, Ademuyiwa, Adesoji, Adisa, Adewale, AlAmeer, Ehab, Alshryda, Sattar, Arnaud, Alexis P, Bankhead-Kendall, Brittany, Abou Chaar, M K, Chaudhry, Daoud, Costas-Chavarri, Ainhoa, Cunha, Miguel F, Davies, Justine I, Desai, Anant, Elhadi, Muhammed, Fiore, Marco, Fitzgerald, James Edward, Fourtounas, Maria, Fowler, Alex James, Futaba, Kay, Gallo, Gaetano, Ghosh, Dhruva, Gujjuri, Rohan R, Hamilton, Rebecca, Haque, Parvez, Harrison, Ewen M, Hutchinson, Peter, Hyman, Gabriella, Isik, Arda, Jayarajah, Umesh, Kaafarani, Haytham MA, Kadir, Bryar, Lawani, Ismail, Lederhuber, Hans, Li, Elizabeth, Löffler, Markus W, Lorena, Maria Aguilera, Mann, Harvinder, Martin, Janet, Mazingi, Dennis, McClain, Craig D, McLean, Kenneth A, Meara, John G, Ramos-De La Medina, Antonio, Mengesha, Mengistu, Minaya, Ana, Modolo, Maria Marta, Moore, Rachel, Morton, Dion, Nepogodiev, Dmitri, Ntirenganya, Faustin, Pata, Francesco, Pearse, Rupert, Picciochi, Maria, Pinkney, Thomas, Pockney, Peter, van Ramshorst, Gabrielle H, Richards, Toby, Roslani, April Camilla, Satoi, Sohei, Sayyed, Raza, Shaw, Richard, Simões, Joana FF, Smart, Neil, Sullivan, Richard, Sund, Malin, Sundar, Sudha, Tabiri, Stephen, Taylor, Elliott H, Venn, Mary L, Wickramasinghe, Dakshitha, Wright, Naomi, Yip, Sebastian Bernardo Shu, Bhangu, Aneel, Omar, Omar, Harrison, Ewen, Bhangu, Aneel A, Siaw-Acheampong, Kwabena, Benson, Ruth A, Bywater, Edward, Dawson, Brett E, Evans, Jonathan P, Heritage, Emily, Jones, Conor S, Kamarajah, Sivesh K, Khatri, Chetan, Khaw, Rachel A, Keatley, James M, Knight, Andrew, Lawday, Samuel, Mann, Harvinder S, Marson, Ella J, Mckay, Siobhan C, Mills, Emily C, Pellino, Gianluca, Tiwari, Abhinav, Trout, Isobel M, Wilkin, Richard JW, Abukhalaf, Sadi, Adamina, Michel, Ademuyiwa, Adesoji O, Agarwal, Arnav, Akkulak, Murat, Alameer, Ehab, Alderson, Derek, Alakaloko, Felix, Albertsmeier, Markus, Alser, Osaid, Alshaar, Muhammad, Augestad, Knut Magne, Ayasra, Faris, Azevedo, 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Rivera, Carlos Jose Perez, Pinkney, Thomas D, Plas, Willemijn van der, Qureshi, Ahmad, Radenkovic, Dejan, Revell, Elliot J, Roberts, Keith, Roslani, April C, Rutegård, Martin, Segura-Sampedro, Juan José, Santos, Irène, Schache, Andrew, Schnitzbauer, Andreas A, Seyi-Olajide, Justina O, Sharma, Neil, Shaw, Catherine A, Shu, Sebastian, Soreide, Kjetil, Spinelli, Antonino, Stewart, Grant D, Townend, Philip, Tsoulfas, Georgios, Vidya, Raghavan, Vimalachandran, Dale, Warren, Oliver J, Wedderburn, Duane, EuroSurg, NA, European Society of Coloproctology (ESCP), NA, Global Initiative for Children's Surgery, NA, GlobalSurg, NA, GlobalPaedSurg, NA, ItSURG, NA, PTSurg, NA, SpainSurg, NA, Italian Society of Colorectal Surgery, NA, Association of Surgeons in Training, NA, Irish Surgical Research Collaborative (ISRC), NA, Transatlantic Australasian Retroperitoneal Sarcoma Working, NA, Italian Society of Surgical Oncology, NA, Booth, Lesley, Barker, Margaret, Barker, Neil, Cooke, Shirley, Doré, 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Philipp, Zimmermann, Matthias, Wiedemann, Dominik, Findl, Oliver, Messner, Franka, Bauer, Marlies, Nägele, Felix, Kronberger, Irmgard E, Öfner, Dietmar, Härter, Bettina, Bicz, Nina Ru B, Zwittag, Paul M, Poier, Nikolaus, Navarro, Francisco Ruiz, Zebuhr, Yorck A, Köglberger, Paul, Wiesinger, Clemens G, Mathew, Erwin, Trivik-Barrientos, Felipe, Königsrainer, Ingmar, Djedovic, Gabriel, Cohnert, Tina U, Lumenta, David B, Singer, Georg, Leithner, Andreas, Kamolz, Lars-Peter, Andrianakis, Alexandros, Puchwein, Paul, Mikalauskas, Saulius, Kirchweger, Patrick, Függer, Reinhold, Mittermair, Christof, Russe, Elisabeth, Paal, Peter, Grünbart, Martin, de Cillia, Michael, Weiss, Helmut G, Steiner, Florian, Binder, Alf Dorian, Samadov, Elgun, Ibrahimli, Arturan, Muslumov, Gurbankhan, Bayramov, Nuru Y, Saunders, Jada M, Almoosa, Noora, Haj-Ibrahim, Huzifa, Maresch, Martin, Ezzdean, Weaam K, Juma, Isam M, Hasan, Layla H, Haider, Fayza HA, Alfaqawi, Ghassan Salman, Alam, Mohammed S, Islam, Shahnoor, Basher, AKM K, Mitul, Ashrarur Rahman, Islam, Nazmul, Oosterkamp, Antje E, Ahmed, Tanveer, Hannan, M Jafrul, Padmore, Greg M, Doyle, Alex F, LaCorbiniere, Karisha L, Boyce, Rico D R, Ragoobar, Paul T, Walkes, Keisha M Y, Haynes, Amelia A, Corbin, Sasha M, Litvina, Yauheniya A, Makhmudov, Anvar, Strypstein, Sébastien, Dhondt, Bert, Rasschaert, Ricky, Farid, Yasser, Wahib, El Mahdi, Pigeolet, Manon, Belle, Koen Van, De Wachter, Stefan, Komen, Niels, Vandeputte, Mathieu PJ, Jansen, Yanina JL, Stijns, Jasper, Eynde, Jef Van den, Olowo, Benedicte I, Feraudy, Israel C, Dragisic, Vedran, Martinovic, Vlatka, Barišić, Tatjana, Penava, Nikolina, Hudic, Igor, Delibegovic, Samir, Bogdanović, Gordana, Grgić, Gordana, Cerovac, Anis, Cerovac, Elmedina, Bedada, Alemayehu G, Baiocchi, Glauco, Wainstein, Alberto, Moisés, Elaine Christine D, Zani, Ana Carolina Tagliatti, de Campos Prado, Caio Antonio, Panis, Carolina, Rech, Daniel, Soares da Silva, Ruan Gabriel, Joviliano, Edwaldo E, Rezende, Ricardo F, Reis, Igor G N, Pires, Robinson E S, Christiano, Adriana Borgonovi, Consani, Heitor F X, Pugliesi, Felipe G, Takeda, Flavio R, Mariani, Alessandro W, Valadares, Ricardo J B, Andreollo, Nelson A, Lopes, Luiz Roberto, Tonello, Cristiano, Alonso, Nivaldo, dos Santos, Carlos Ferreira, Lima, Leonardo S, Salgado, Wilson, Pereira, Thiago H S, Gatti, Arthur Paredes, Oliva, Ramon N L, Nardi, Caroline N, Sousa, Alvaro F L, Ribeiro, Ivonizete P, Carvalho, Herica E F, Oliveira, Layze B, Schneider, Guilherme, Casteleins, William Augusto, Silva, Larissa M, Gomes, Carlos Augusto, da Cunha Viana Júnior, Alonço, Cruz, Ricardo P, Gomes, Gustavo MA, Buarque, Igor L, Barros, Aldo V, Marangon, Gustavo B, Flumignan, Ronald LG, Nakano, Luís CU, Pascoal, Patrícia IF, Santos, Brena C, Kuramoto, Danielle AB, Correia, Rebeca M, Amaral, Fabio CF, Flumignan, Carolina DQ, Dussán-Sarria, Jairo A, Simões, Romeo L, Amorim, Robson L, Silva, Jeancarllo S, Lyra Junior, Humberto F, Julio, Nathalia S, Gerber, Marlus T, dos Santos, José Mauro, de Oliveira, Joao Carlos C, Palamim, Camila VC, Marson, Fernando AL, Gomes, Iolanda M, Oliveira, Priscila R, Lima, Ana Lucia L M, Carvalho, Vladimir C, Silva, Jorge S, NA, Ulysses Ribeiro, Laporte, Gustavo Andreazza, Gonçalves, Mateus Capuzzo, Botacin, Lais S, Avelino, Melissa AG, Brito, Luiz Gustavo O, Hristova, Evguenia T, Stoyanov, Vladislav Valentinov, Sakakushev, Boris E, Dardanov, Dragomir D, Sokolov, Manol B, Mehta, Ananya, Gyokova, Elitsa H, Abdullahi, Mohamed, Karamanliev, Martin P, Dimitrov, Dobromir D, Slavchev, Mihail T, Atanasov, Boyko Ch, Yotsov, Tsanko I, Hadzhiev, Dimitar Bozhidarov, Stock, Simon E, Nwegbu, Chukwuemeka Gerald, Tanyi, Tanyi John, Brown, James A, Arneja, Jugpal S, Lee, Susan M, Kancherla, Ramya, Kidane, Biniam, Champagne, Pierre-Olivier, Ma, Xiya, Munro, Allana, McKeen, Dolores M, Glinka, Juan, Vasarhelyi, Edward M, Subramani, Yamini, Alfaro, Hilda, Shah, Ushma J, Gonzalez, Nelson J, MacNeil, S Danielle, Nagappa, Mahesh, Malthaner, 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Ahmed, Saqr, Amira M, Abdelelsalm, Wafaa M, Elshennawy, Eslam M, Radwan, Samar T, Awad, Selmy S, Emile, Sameh H, Aldosoky, Wesam A, Elfeki, Hossam, Gendi, Sara N, Abdelsalam, Hala Adel, Hammad, Mohammed, Shalaby, Mostafa, Sakr, Ahmad Hammad, Abdelmaksoud, Mohamed A, Alawady, Mohammed, Omran, Abdelrahman Azzam, Allam, Abdallah R, Ismail, Zainab, Gaballah, Khaled M, AlGady, Mahmoud Fathy Mahmoud, Raslan, Ahmed M, Gharbia, Khaled, Nuser, Abdelazez A, Sayed, Ahmed Kamal, Elshahawy, Mahmoud A, Ghaly, Galal, Sherif, Ahmed Elshawadfy, Makram, Abdelrahman M, Makram, Omar M, Ahmed, Ola, Helmy, AbdelRahman M A, Abdelwahab, Khaled M, Abdelkhalek, Mohamed, Metwally, Islam H, Shetiwy, Mosab Saad, Zuhdy, Mohammad, Ramadan, Salma I, Abdelghany, Mohamed, Omar, Mohammed A, Soliman, Ziad A, Ali, Hossam T, Elnoamany, Salma, Ghozy, Sherief, Abbas, Alzhraa S, Shehata, Mostafa A, Mahmoud, Sahar A, Elsaman, Mohammed A, Fayad, Elsayed A, Radwan, Asmaa, El-Sakka, Ahmed I, Sallam, Asser, Elbahnasawy, Mohamed G, 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Enoch F, Pushpoth, Sreekumari R, Viswanath, Yirupaiahgari KS, ElSanhoury, Kareem, Chew, Misha, Walker, Thomas E, Elhassan, Almutasim Billah Elbagir, Belcher, Elizabeth, Goricar, Matej, majd, Hooman Soleymani, Knight, Dominic, Ismail, Lamiese, McKinnon, Chris, Ganau, Mario, Prokopenko, Max, Doshi, Neel S, Gkorila, Aikaterina, Sheikh, Nomaan A, Helm, Jessica R, Low, Mei Ken, Ogunfusika, Oluseyi Harold, Bisheet, George, Alhammali, Tariq, Arnob, Ahmed Showki, Singh, Jatinder, Allde, Emma L, Sambhwani, Sharan H, Dube, Manas, Gemmill, Elizabeth H, John, Joby, Gerogiannis, Ioannis N, Abuelgasim, Mona A A, Crate, Georgina, Holme, Thomas J, Nguyen, Anh T V, Ho, Michael W, Wade, Ryckie G, Hussain, Azar, Andrzejowski, Paul, Omakobia, Eugene, Eltayeb, Momin, Galabov, Tsanko P, Lee, Chung Yan Vernon, Nazir, Anum, Siaw, Oliver L, Ashford, Robert U, Boddy, Alex P, Ashmore, Christopher D, Shah, Snehadhar M, Gowers, Benjamin T V, Thekkinkattil, Dinesh K, Worku, Dawit, Harky, Amer, Talwar, Rishi, Sagoo, Harkiran K, Jambulingam, Periyathambi S, Smart, Christopher J, Doherty, Daniel T, Mastoridis, Sotiris, Kumar, Sidharth, Mahmoud, Rana, Solari, Francesca, Egan, Richard J, Barry, Jonathan D, Morrison, Jo, Davoudi, Kaveh, Hollyman, Marianne, Kelly, Andrew, Badenoch, Thomas F, pandanaboyana, sanjay, Critchley, Rebecca J, Sarodaya, Varun R, Sinnerton, Robert J H, Manickavasagam, Jaiganesh, Lindsay, Elizabeth F, Arora, Ankita, Hasan, Raashad, Liew, Ignatius, Ozua, Joshua, Kouritas, Vasileios, Collins, Rachael V, Lafford, George H, Moret, Charlie, Chean, Chung Shen, Horgan, Liam F, Aujayeb, Avinash, Siddique, Muhammad Harris, Navaratne, Lalin, Kotecha, Sanjeev, Bellato, Vittoria, Lewis, Sophia E, Ali, Muhammad Usman, Marson, Ben A, Craxford, Simon, Gajjar, Ketankumar, Theophilidou, Elena, Aboelmagd, Tariq, Khatkar, Harman, Awadallah, Mahmoud A, Blanco, Jose A, Chituku, Tsitsi G, Dixon, Oliver GB, sarveswaran, Janahan, Jones, Imogen S, Hammouche, Salah, Vijay, Vardhini, Ooi, Rucira, Karmarkar, Rahi, Khaleeq, Tahir, Bhatia, Mohit, Al-Khazaali, Badr L, Daadipour, Audrina, Mattar, Ahmed, Singhal, Tarun, Mahmoud, Moustafa Ibrahim, Glasbey, James, Nankivell, Paul C, Kalkat, Maninder S, Nour, Shahd, Beggs, Andrew D, Yershov, Danylo Y, Chughtai, Shafiq Ahmad, Youssef, Hesham, Norrish, Alan R, Mohammed, Mohammed M, Gwozdz, Adam M, Charalambous, Michalis P, Knight, Stephen R, McCaul, James A, Bridgman, Elsie A, El Sheikh, Mustafa, Ogunbowale, Akinsola, Wright, Evan O, Ahmed, Usama, Younus, Hafsa, Tincknell, Laura G, Weixing-Ho, Ken, Demetriou, Charis, Hussei, Mohammed, Reilly, John-Joe, Hormis, Anil P, Moug, Susan J, Anazor, Fitzgerald C, Horwell, Edward A, Neal-Smith, Gregory, McNamara, John M, Baryeh, Kwaku W, Bhatti, Khalid M, McKay, Joseph E, Cannoletta, Maria G, Perkins, Clare J, Gopalswamy, Sivakumar, Sheldon, Anna F, John, Joseph B, Mantle, Mark, Toia, Bogdan, Phillips, Andrew J, Al-Khyatt, Waleed, Lund, Jonathan N, Ammar, Ahmed Y, Yim, Guang H, Huntley, Daniel A, Daniels, Ian R, Valverde, Joao, Lumley, Edward David John, Walton, Thomas J, Raptis, Dimitri A, Dimitrokallis, Nikolaos, Nathan, Arjun, Motallebzadeh, Reza, Chowdhury, Shihab, Ahmed, Rezwan F A, Mirnezami, Reza, Szakmany, Tamas, Knight, Dominic J, Al-Azzani, Waheeb, Davies, Huw R, Ooi, Setthasorn Zhi Yang, Oo, Khaing K, Cullis, Paul S, Peng, Ed, Demetriades, Andreas K, Tambyraja, Andrew L, Poon, Michael TC, Brennan, Paul M, Oikonomou, Dimitrios, Newman, Samuel E, Le Blevec, Louise, Otify, Mohamed, Szatmary, Peter, Devkaran, Bhavesh, Sochorova, Dana, Sohrabi, Catrin, Sivaprakasam, Rajesh, Goh, Mingzheng Aaron, Atkinson, Kate V, Soares, Delvene, Prce, Daniela, Cann, Johnathon P, Grobbelaar, Amy C, Bradley, Rebecca, Strauss, Helen J, Taha, Ahmed, Minicozzi, Annamaria, Thakur, Bhaskar, Hanoun, Abdullah, Goru, Poornanand, Baumber, Rachel M, Sobti, Anshul S, Cross, George WV, Havenhand, Tom, Antoniou, George A, Chauhan, Govind Singh, Vokshi, Ismail, Mahmud, Ayesha, Albanese, Erminia, Evans, 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Joseph, Donnelly, Liam J, Erridge, Simon, Chidambaram, Swathikan, Luo, Xun, Bansal, Sujesh, Ryan, Neil AJ, Smith, Alexander C D, Flatman, Michael, Wafaie, Imad, Malik, Muhammad Isfandyar Khan, Thumbadoo, Ruben P, Hussain, Shoaib F, Henein, Christin, Hamad, Yousif T, Belgaumkar, Ajay P, Bosanquet, David C, Kolias, Angelos G, Choi, David, Marcus, Hani J, Horsfall, Hugo RM Layard, Khan, Danyal Z, Sahni, Arun, Millward, Christopher P, Render, Luke, Truss, Adam, Elmoslemany, Tarek, Parmar, Chetan, Hanger, Joseph, Sheen, Jonathon, Rait, Jaideep S, Foreman, Jennifer, Marzouqa, Natalie, Fontalis, Andreas, Voulalas, Grigorios, CHEONG, Ryan Chin Taw, Dindyal, Sanjay, Arumugam, Sathyaseelan, Ward, Thomas R W, Stephens, Alastair S, Douka, Eleftheria, Abou-Foul, Ahmad K, McKay, Siobhan C, Kitchen, Mark O, Rees-Stoner, Oliver DJ, Balasubramanya, Supriya, Akhtar, Muhammad Adeel, Warwick, Andrew J, Pawar, Shweta, Dubey, Vivek, Al-Yaseen, Mustafa W, Williams, Christopher YK, Laird, Alexander, Krishna, Kandaswamy, Anyaugo, Ngozi S, Wuraola, Obafemi K, Odejinmi, Funlayo, Craven, Joanna M, West, Charlotte L, Barter, Reece A, Navaratnam, Devaraj M, Malik, Shahbaz S, Mahendran, Vimaladhithan, Zilvetti, Miguel, Lovegrove, Richard E, Board, Tim N, Zeiton, Moez, Sarwar, Safdar A, Duff, Sarah E, Hsabo, Elmuiz A, Nugur, Ashwani Kumar, Morris, Richard M, Lala, Anil K, Kwan-Feinberg, Rita O, Ross, Samuel W, Dressler, Jeremy A, Evans, Faye M, Wason, Shaun E L, Vogel, Keianna R, Wang, Joanna C, Sulciner, Megan L, Hirji, Sameer, Raoof, Mustafa, Wolff, Christopher J, kent, Ilan, Turan, Alparslan, Teixeira, Pedro G, Olson, Kristofor A, Patel, Neil D, Krishnamoorthy, Vijay, Moris, Dimitrios, Rice, Henry E, Gabr, Hesham, Satoskar, Savni R, Castater, Christine A, Jmaileh, Manal, Payne, Rachel E, Kwon, David S, Aarabi, Shahram, Escobar, Pedro F, Kronenfeld, Joshua P, Dalton, Michael K, Etchill, Eric W, Haut, Elliott R, Vervoort, Dominique, Dehal, Ahmed, McKenney, Mark, Elkbuli, Adel, Gosain, Ankush, 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Kumer, Sean C, Larson, Kelsey, Turner, Scott, Guidry, Christopher, Reddy, Madhuri, Berbel, German, Findley, Austin, Beahm, David, Bur, Andres, Marlor, Derek, Houndschell, Corey, Carver, Shea, Ulrich, Alissa, Bhutiani, Neal, DiChiacchio, Laura, Abdou, Hossam, Napolitano, Lena M, Ghebre, Rahel, Bass, Gary Alan, Kaplan, Lewis J, Martin, Niels D, Duffy, Caoimhe C, Abdelhamid, Sultan S, Daley, Brian J, Roland, Christina L, Dumas, Ryan P, Ban, Vin Shen, Rajesh, Aashish, Davies, Mark G, Purudappa, Prabhudev P, Walters, Camila B, Lin, Nicole, Ruzgar, Nensi M, Ullrich, Sarah J, Trostchansky, Ivan, Bonilla-Cal, Fernando, Castedo, Fabiola, Sobrero, Helena, Acuña, Gastón, Álvarez, Sofía M, Tarigo, Josefina, Carbajal, Ana C, Carbajal, Ana, Reyes, Antonio R, Al-Eryani, Fatima A, Alqousi, Nardeen N, Alattas, Zainab, Al-Saban, Rafat A, Al-Shehari, Mohammed M, ALHammadi, Nawal T, Shream, Sarah A, Al-Naggar, Hamza M, Al-Qalisi, Lina M, Nadeesh, Areej E, Al-Samawi, Hytham H, Bajjah, Hadeel M, AL-Ameri, Saba A, Albably, Jamal F, Ghannam, Rana A, Shamsan, Amatallah H, Meead, Abdullah A, Al- Zubaidi, Riham Q, Zulait, Mohammed A, Najeeb, Halah, Alsayadi, Musaed M, Al-Mashreqi, Seham K, Al-Jomai, Najla A, Alsayadi, Ramzi A, Al-Naggar, Moath M, Almarashi, Hassan A, Musaeed, Hasna M, Al-Raimi, Ibrahim M, Ghanem, Hossam N, Al-Zazay, Karim A, AL-Mahdi, Shehab A, Almontaser, Amatalaleem S, Savopoulos, Vanessa A S, Munthali, James, Kabongo, Kizito M C, Mushiwokufa, Willard, Ngulube, Allan, Ntoto, Crispin, Magama, Praise T, Dzinotyiwei, Daniel, Chivanga, Shelton K, Dube, Ngqabutho S, Sanchez, Ernesto C, Moyo, Assel T, Chengahomwe, Antony, Chinyowa, Simbarashe, Siamuchembu, Maphios, Bondera, Tafadzwa, and Mushawarima, Trust
Published: 2022
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32. Exploring dimension learning via a penalized probabilistic principal component analysis

Author: Deng, Wei Q. and Craiu, Radu V.
Subjects: Statistics - Methodology
Abstract: Establishing a low-dimensional representation of the data leads to efficient data learning strategies. In many cases, the reduced dimension needs to be explicitly stated and estimated from the data. We explore the estimation of dimension in finite samples as a constrained optimization problem, where the estimated dimension is a maximizer of a penalized profile likelihood criterion within the framework of a probabilistic principal components analysis. Unlike other penalized maximization problems that require an "optimal" penalty tuning parameter, we propose a data-averaging procedure whereby the estimated dimension emerges as the most favourable choice over a range of plausible penalty parameters. The proposed heuristic is compared to a large number of alternative criteria in simulations and an application to gene expression data. Extensive simulation studies reveal that none of the methods uniformly dominate the other and highlight the importance of subject-specific knowledge in choosing statistical methods for dimension learning. Our application results also suggest that gene expression data have a higher intrinsic dimension than previously thought. Overall, our proposed heuristic strikes a good balance and is the method of choice when model assumptions deviated moderately.
Published: 2018

33. Bayesian Model Averaging for the X-Chromosome Inactivation Dilemma in Genetic Association Study

Author: Chen, Bo, Craiu, Radu V., and Sun, Lei
Subjects: Statistics - Applications
Abstract: X-chromosome is often excluded from the so called `whole-genome' association studies due to its intrinsic difference between males and females. One particular analytical challenge is the unknown status of X-inactivation, where one of the two X-chromosome variants in females may be randomly selected to be silenced. In the absence of biological evidence in favour of one specific model, we consider a Bayesian model averaging framework that offers a principled way to account for the inherent model uncertainty, providing model averaging-based posterior density intervals and Bayes factors. We examine the inferential properties of the proposed methods via extensive simulation studies, and we apply the methods to a genetic association study of an intestinal disease occurring in about twenty percent of Cystic Fibrosis patients. Compared with the results previously reported assuming the presence of inactivation, we show that the proposed Bayesian methods provide more feature-rich quantities that are useful in practice., Comment: 22 pages, 4 figures
Published: 2017

34. Lipschitz Analysis of Generalized Phase Retrievable Matrix Frames.

Author: Radu V. Balan and Chris B. Dock
Published: 2022
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35. A scalable and efficient covariate selection criterion for mixed effects regression models with unknown random effects structure

Author: Craiu, Radu V. and Duchesne, Thierry
Subjects: Statistics - Methodology
Abstract: We propose a new model selection criterion for mixed effects regression models that is computable when the model is fitted with a two-step method, even when the structure and the distribution of the random effects are unknown. The criterion is especially useful in the early stage of the model building process when one needs to decide which covariates should be included in a mixed effects regression model but has no knowledge of the random effect structure. This is particularly relevant in substantive fields where variable selection is guided by information criteria rather than regularization. The calculation of the criterion requires only the evaluation of cluster-level log-likelihoods and does not rely on heavy numerical integration. We provide theoretical and numerical arguments to justify the method and we illustrate its usefulness by analyzing data on a socio-economic study of young American Indians.
Published: 2016
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36. Likelihood Inflating Sampling Algorithm

Author: Entezari, Reihaneh, Craiu, Radu V., and Rosenthal, Jeffrey S.
Subjects: Statistics - Machine Learning, Statistics - Computation
Abstract: Markov Chain Monte Carlo (MCMC) sampling from a posterior distribution corresponding to a massive data set can be computationally prohibitive since producing one sample requires a number of operations that is linear in the data size. In this paper, we introduce a new communication-free parallel method, the Likelihood Inflating Sampling Algorithm (LISA), that significantly reduces computational costs by randomly splitting the dataset into smaller subsets and running MCMC methods independently in parallel on each subset using different processors. Each processor will be used to run an MCMC chain that samples sub-posterior distributions which are defined using an "inflated" likelihood function. We develop a strategy for combining the draws from different sub-posteriors to study the full posterior of the Bayesian Additive Regression Trees (BART) model. The performance of the method is tested using both simulated and real data., Comment: 32 pages, 3 figures, submitted
Published: 2016

37. Nonparametric imputation method for nonresponse in surveys

Author: Hasler, Caren and Craiu, Radu V.
Subjects: Statistics - Methodology
Abstract: Many imputation methods are based on statistical models that assume that the variable of interest is a noisy observation of a function of the auxiliary variables or covariates. Misspecification of this model may lead to severe errors in estimates and to misleading conclusions. A new imputation method for item nonresponse in surveys is proposed based on a nonparametric estimation of the functional dependence between the variable of interest and the auxiliary variables. We consider the use of smoothing spline estimation within an additive model framework to flexibly build an imputation model in the case of multiple auxiliary variables. The performance of our method is assessed via numerical experiments involving simulated and real data.
Published: 2016
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38. Adaptive Component-wise Multiple-Try Metropolis Sampling

Author: Yang, Jinyoung, Levi, Evgeny, Craiu, Radu V., and Rosenthal, Jeffrey S.
Subjects: Statistics - Computation
Abstract: One of the most widely used samplers in practice is the component-wise Metropolis-Hastings (CMH) sampler that updates in turn the components of a vector valued Markov chain using accept-reject moves generated from a proposal distribution. When the target distribution of a Markov chain is irregularly shaped, a `good' proposal distribution for one part of the state space might be a `poor' one for another part of the state space. We consider a component-wise multiple-try Metropolis (CMTM) algorithm that can automatically choose from a set of candidate moves sampled from different distributions. The computational efficiency is increased using an adaptation rule for the CMTM algorithm that dynamically builds a better set of proposal distributions as the Markov chain runs. The ergodicity of the adaptive chain is demonstrated theoretically. The performance is studied via simulations and real data examples.
Published: 2016

39. Gaussian Process Single Index Models for Conditional Copulas

Author: Levi, Evgeny and Craiu, Radu V.
Subjects: Statistics - Methodology
Abstract: Parametric conditional copula models allow the copula parameters to vary with a set of covariates according to an unknown calibration function. Flexible Bayesian inference for the calibration function of a bivariate conditional copula is proposed via a sparse Gaussian process (GP) prior distribution over the set of smooth calibration functions for the single index model (SIM). The estimation of parameters from the marginal distributions and the calibration function is done jointly via Markov Chain Monte Carlo sampling from the full posterior distribution. A new Conditional Cross Validated Pseudo-Marginal (CCVML) criterion is introduced in order to perform copula selection and is modified using a permutation-based procedure to assess data support for the simplifying assumption. The performance of the estimation method and model selection criteria is studied via a series of simulations using correct and misspecified models with Clayton, Frank and Gaussian copulas and a numerical application involving red wine features.
Published: 2016

40. Embarrassingly Parallel Sequential Markov-chain Monte Carlo for Large Sets of Time Series

Author: Casarin, Roberto, Craiu, Radu V., and Leisen, Fabrizio
Subjects: Statistics - Computation, Statistics - Applications
Abstract: Bayesian computation crucially relies on Markov chain Monte Carlo (MCMC) algorithms. In the case of massive data sets, running the Metropolis-Hastings sampler to draw from the posterior distribution becomes prohibitive due to the large number of likelihood terms that need to be calculated at each iteration. In order to perform Bayesian inference for a large set of time series, we consider an algorithm that combines 'divide and conquer" ideas previously used to design MCMC algorithms for big data with a sequential MCMC strategy. The performance of the method is illustrated using a large set of financial data.
Published: 2015

41. Assessing Data Support for the Simplifying Assumption in Bivariate Conditional Copulas

Author: Levi, Evgeny, Craiu, Radu V., La Rocca, Michele, editor, Liseo, Brunero, editor, and Salmaso, Luigi, editor
Published: 2020
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42. Copula Modeling of Serially Correlated Multivariate Data with Hidden Structures.

Author: Zimmerman, Robert, Craiu, Radu V., and Leos-Barajas, Vianey
Subjects: HIDDEN Markov models, EXPECTATION-maximization algorithms, MARKOV processes, NUMERICAL analysis
Abstract: We propose a copula-based extension of the hidden Markov model (HMM) which applies when the observations recorded at each time in the sample are multivariate. The joint model produced by the copula extension allows decoding of the hidden states based on information from multiple observations. However, unlike the case of independent marginals, the copula dependence structure embedded into the likelihood poses additional computational challenges. We tackle the latter using a theoretically-justified variation of the EM algorithm developed within the framework of inference functions for margins. We illustrate the method using numerical experiments and an analysis of room occupancy. for this article are available online. [ABSTRACT FROM AUTHOR]
Published: 2024
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43. Epithelial cell integrin β1 is required for developmental angiogenesis in the pituitary gland

Author: Scully, Kathleen M, Skowronska-Krawczyk, Dorota, Krawczyk, Michal, Merkurjev, Daria, Taylor, Havilah, Livolsi, Antonia, Tollkuhn, Jessica, Stan, Radu V, and Rosenfeld, Michael G
Subjects: 1.1 Normal biological development and functioning, Underpinning research, Animals, Animals, Newborn, Cell Count, Cell Differentiation, Embryonic Development, Endothelial Cells, Epithelial Cells, Extracellular Matrix, Gene Deletion, Gene Expression Regulation, Developmental, Gene Targeting, Integrases, Integrin beta1, Mice, Neovascularization, Physiologic, Paired Box Transcription Factors, Pericytes, Phenotype, Pituitary Gland, Sequence Analysis, RNA, Time Factors, Vascular Endothelial Growth Factor C, angiogenesis, integrin beta 1, pituitary gland, mice, integrin β1
Abstract: As a key component of the vertebrate neuroendocrine system, the pituitary gland relies on the progressive and coordinated development of distinct hormone-producing cell types and an invading vascular network. The molecular mechanisms that drive formation of the pituitary vasculature, which is necessary for regulated synthesis and secretion of hormones that maintain homeostasis, metabolism, and endocrine function, remain poorly understood. Here, we report that expression of integrin β1 in embryonic pituitary epithelial cells is required for angiogenesis in the developing mouse pituitary gland. Deletion of pituitary epithelial integrin β1 before the onset of angiogenesis resulted in failure of invading endothelial cells to recruit pericytes efficiently, whereas deletion later in embryogenesis led to decreased vascular density and lumen formation. In both cases, lack of epithelial integrin β1 was associated with a complete absence of vasculature in the pituitary gland at birth. Within pituitary epithelial cells, integrin β1 directs a large transcriptional program that includes components of the extracellular matrix and associated signaling factors that are linked to the observed non-cell-autonomous effects on angiogenesis. We conclude that epithelial integrin β1 functions as a critical and canonical regulator of developmental angiogenesis in the pituitary gland, thus providing insight into the long-standing systems biology conundrum of how vascular invasion is coordinated with tissue development.
Published: 2016

44. “Small Blood Vessels: Big Health Problems?”: Scientific Recommendations of the National Institutes of Health Workshop

Author: Bosetti, Francesca, Galis, Zorina S, Bynoe, Margaret S, Charette, Marc, Cipolla, Marilyn J, del Zoppo, Gregory J, Gould, Douglas, Hatsukami, Thomas S, Jones, Teresa LZ, Koenig, James I, Lutty, Gerard A, Maric‐Bilkan, Christine, Stevens, Troy, Tolunay, H Eser, Koroshetz, Walter, Participants, the Small Blood Vessels Big Health Problems Workshop, Agalliu, Dritan, Antonetti, David A, Boehm, Manfred, Brooks, Claudette E, Caron, Kathleen M, Chilian, William, Daemen, Mat J, D'Amato, Robert, Davis, Thomas P, Ergul, Adviye, Faber, James E, Gomez, Ariel R, Grayson, Peter, Grumbach, Isabella, Grutzendler, Jaime, Gu, Chenghua, Gutterman, David, Hallenbeck, John, Herman, Ira, Humphrey, Jay, Iadecola, Costantino, Inscho, Edward W, Kleinfeld, David, Lo, Eng H, Lopez, Jose A, Macknik, Stephen, Malik, Asrar, Mayadas, Tanya N, McGavern, Dorian, Meininger, Gerald A, Miller, Virginia M, Nedergaard, Maiken, Nelson, Mark T, Peirce‐Cottler, Shayn, Ramadan, Ipolia, Rosenberg, Gary A, Schiffrin, Ernesto L, Searson, Peter, Stachenfeld, Nina, Stan, Radu V, Suarez, Yajaira, Ubogu, Eroboghene E, Vexler, Zinaida S, Weyand, Cornelia M, and Zlokovic, Berislav V
Subjects: Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Good Health and Well Being, Capillaries, Cardiovascular Diseases, Coronary Circulation, Health, Humans, Microcirculation, National Institutes of Health (U.S.), Practice Guidelines as Topic, United States, endothelium, hypertension, imaging, ischemia, microcirculation, remodeling, “Small Blood Vessels: Big Health Problems” Workshop Participants, Cardiorespiratory Medicine and Haematology, Cardiovascular medicine and haematology
Published: 2016

45. Additive Models for Conditional Copulas

Author: Sabeti, Avideh, Wei, Mian, and Craiu, Radu V.
Subjects: Statistics - Methodology
Abstract: Conditional copulas are flexible statistical tools that couple joint conditional and marginal conditional distributions. In a linear regression setting with more than one covariate and two dependent outcomes, we propose the use of additive models for conditional bivariate copula models and discuss computation and model selection tools for performing Bayesian inference. The method is illustrated using simulations and a real example.
Published: 2014

46. Adaptive Component-Wise Multiple-Try Metropolis Sampling

Author: Yang, Jinyoung, Levi, Evgeny, Craiu, Radu V., and Rosenthal, Jeffrey S.
Published: 2019

47. Permutation Invariant Representations with Applications to Graph Deep Learning.

Author: Radu V. Balan, Naveed Haghani, and Maneesh Singh 0001
Published: 2022
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48. Global disparities in surgeons’ workloads, academic engagement and rest periods: the on-calL shIft fOr geNEral SurgeonS (LIONESS) study

Author: Podda, M, Di Martino, M, Pata, F, Nigri, G, Pisanu, A, Di Saverio, S, Pellino, G, Ielpo, B, Null, N, Tolla, A, Abdelkhalek, M, Emile, S, Dinagde, T, Bouzid, C, Mansour, A, Garzali, I, Aregawi, A, Zaghloul, T, Kchaou, A, Awad, S, Souadka, A, Ted, T, Saumtally, M, Ahmed, B, Bayileyegn, N, Nunziante, M, Shalaby, M, Debena, D, Zena, A, Adewunmi, O, Negasa, T, Bourguiba, M, Feituri, N, Kebede, K, Elfeki, H, Anas, A, Awad, A, Ermias, N, Hailemariam, D, Bejiga, G, Imana, R, Taffese, A, Feleke, T, Elghadban, H, Debela, B, Shiferaw, D, Tadesse, R, Chukwu, I, Mohammed, A, Hassen, K, Obiagwu, N, Tense, T, Taeme, M, Biniam, E, Tesfay, G, Tegegn, A, Teddy, T, Bekana, B, Nidaw, M, Ali, M, Gonfa, K, Kiros, S, Belay, T, Yallew, G, Wassie, C, Ayalew, A, Asfaw, F, Aimal, A, Casas, M, Madrid, F, Diaz-Elizondo, J, Merlo, I, De Campos, T, Schlottmann, F, Gomes, C, Hernández, E, Moncada-Ortega, A, Ramos-De la Medina, A, Vanerio, P, Morales, E, Stringfield, S, Gallardo, C, Fonseca, V, Muriel, M, Cantarino, F, Fichera, A, Rodriguez, A, Salinas, R, Crosbie, G, Menegozzo, C, Avellaneda, N, Briones, C, Varela, C, Lichliter, W, Koppel, D, Lenz, J, Pascual, F, Sibaja-Matamoros, D, Johnson, B, Mercado, O, Tita, A, Mukherjee, I, Lorenzo, I, Rueda, E, Rico, D, Terwes, N, Visag-Castillo, V, Escalante, K, Salvador, A, Pio, L, Rodas, E, Aguilar, J, Neri, I, Barzola, E, Barba, L, Zuchini, A, Acevedo, A, Gachabayov, M, Gonsaga, R, Bonilla, F, Knickerbocker, C, Tsouknidas, I, Salamea, J, Travers, L, Nari, G, Pachajoa, D, Valadez, M, Hale, L, Perez, G, Choudhry, A, Foreman, M, Brito, I, Ciro, M, Newton, C, Souza, H, Davis, D, Ferreira, R, Keller, D, Miguel, G, Singh-Ranger, G, Linares, N, Singares, E, Valdivieso, X, Teran, A, Vargas, L, Valinoti, A, Milne, D, Fleming, A, Quiroga-Garza, A, Espino, E, Bedros, N, Funk, G, Neves, F, Supit, T, Baba, A, Chalkoo, M, Kucuk, G, Sarmiento, R, Galeev, S, Korkoman, M, Yang, W, Medappil, N, Athar, R, Subramaniam, R, Chia, C, Alhazmi, A, Halder, S, Rusli, S, Rashid, A, Gülcü, B, Nagarajan, P, Rida, K, Jamiri, A, Batıkan, O, Khan, H, Mitul, A, Efetov, S, Junior, M, Gulcu, B, Farooqui, M, Mulpuri, V, Bagaria, D, Yusoff, A, Wani, R, Younis, M, Khobragade, K, Marwat, M, Bains, L, Kobe, Y, Koh, P, Tantravahi, U, Mohamad Mohamad, I, Abu-Arish, H, Yildirim, A, Ibrahim, A, Tan, J, Siagian, D, Bhattacharya, N, Chiu, J, Paramasvaran, G, Voon, K, Göktepe, B, Lee, L, Gupta, A, Rasheed, F, Al-Shehari, M, Syed, S, Bhat, P, Erdoğan, E, Roat, R, Nacion, A, Saraiya, S, Afolabi, A, Chai, F, Ghannam, W, Bhattacharya, K, Nl, H, Aloun, A, Bhatti, H, Koneti, A, Klib, M, Qureshi, A, Syn, N, Wani, A, Saeidi, S, Zeb, M, Bandaru, K, Menna, M, Morales-Conde, S, Gessa, E, Sánchez-Cabús, S, Spartalis, E, Antropoli, C, Manigrasso, M, Sica, G, Ercolani, G, Chitul, A, Bacchiocchi, G, Azevedo, J, Karamarkovic, A, Bonavina, L, Piozzi, G, Migueláñez, I, Merlini, D, Major, P, Grimaldi, L, Calu, V, Curro, G, Cotsoglou, C, Baldini, E, Delis, S, Kovacevic, B, Masetti, M, Selvaggi, F, Scabini, S, Reiti, A, Zullo, A, Giuliani, A, Alesina, P, Massey, L, Slesser, A, Neary, P, Sahnan, K, Colucci, G, Brady, R, Mihailescu, A, Adamina, M, Gerogiannis, I, van Ramshorst, G, Paradiso, G, Poto, G, Massaro, D, Nazir, F, Stubbs, B, Tasselli, F, Muñoz-Cruzado, V, Sabia, D, Vannelli, A, Marsella, V, Tomada, E, Giambusso, M, Davies, J, Uzzau, A, Balla, A, Scaringi, S, Lancellotti, F, Douka, E, Argenio, G, Cassese, G, Ammendola, M, Morelli, L, Francone, E, Bala, M, Thambi, P, Iacobone, M, Campisi, A, Tejedor, P, Spoletini, G, Mascherini, M, Belia, F, Idiz, U, Colak, E, Peters, P, Ros, E, Aytac, E, Vilallonga, R, Serrablo, A, Muttillo, E, Di Franco, G, Vanni, G, Isik, A, Sbacco, V, Tropeano, F, Porcellini, I, Butler, R, Fernandez, C, Papadopoulos, A, Salvans, S, Khan, J, Bellver, P, Mc Farlane, S, Apostolou, K, Tur-Martinez, J, Castellano, J, Santoliquido, M, Tallon-Aguilar, L, Celentano, V, Aliyev, V, al-Najami, I, Grama, F, Masior, Ł, Ciesielski, W, Luberto, A, Sparavigna, M, Klimczak, T, Negoi, I, Serradilla-Martín, M, Marinis, A, Cammarat, R, Bellido-luque, J, Manzo, C, Milana, F, Luglio, G, Zarnescu, N, Martínez, I, Olmi, S, Costea, R, Cerdán-Santacruz, C, Gica, N, Rompianesi, G, Gallo, G, Ridolfi, C, Sahid, S, Cc, T, López-Soler, G, Díaz, C, Mccawley, N, Luzzi, A, Abelló, D, Bonito, A, Ntomi, V, Gourgiotis, S, Pazos, N, Toscano, M, Zafra, D, Beisani, M, Oliva, A, Guler, M, Gómez, M, Oddis, L, Montcusí, B, Delgado, A, Lasarte, M, Antonacci, N, Sartori, A, Taylor, J, de Santos Iglesias, F, Mastronardi, M, Gunay, E, Yiu, A, Cano-Valderrama, O, Costantini, G, Digne-Malcolm, H, Petropoulou, T, Horesh, N, Kelly, M, Ahmed, N, Wyroslak-Najs, J, Naik, P, Vigorita, V, Michael, M, Castro, E, Paspala, A, D'Ambrosio, M, Pangeni, A, Dziakova, J, Terés, L, Lorente-Poch, L, Di Carlo, I, Spartalis, M, Moro-Valdezate, D, Davey, M, Turrado-Rodriguez, V, Tryliskyy, Y, Calussi, M, Farré, S, Labat, M, Marafante, C, Takkenberg, M, Brookes, C, Soares, A, Gialamas, E, Caputo, D, Corrons, L, Capitano, S, Charalabopoulos, A, Don, C, Marrano, E, Giuffrida, M, Tomasicchio, G, Bellato, V, Stijns, J, Creavin, B, Schizas, D, Blanco-Antona, F, Kykalos, S, Tartaglia, N, Pelegrina, A, Barranquero, A, Schena, C, Cremona, S, Baili, E, Cianci, P, Di Bella, A, Forcignanò, E, Fabbrizio, T, Salvetti, F, Inama, M, Campagnaro, T, Deerenberg, E, Reccia, I, Rocca, A, Fazio, F, Tampakis, A, Tepelenis, K, Di Meo, G, Konstantoudakis, G, Manatakis, D, Mineccia, M, Delvecchio, A, Faro, C, Rosso, E, Bandyopadhyay, S, Queffurus, M, Marin, J, Corvasce, A, Chillarge, G, Mohammed, M, Reid, R, Gherardi, D, Naeem, A, Pandanaboyana, S, Tayeh, S, Chevallay, M, Sergeant, G, Cuccomarino, S, Salimian, N, Kapsampelis, P, Ferretti, C, Glasbey, J, Harvitkar, R, Iqbal, M, de Oliveira, G, Pérez-Bertólez, S, Bergna, A, Brisinda, G, Rottoli, M, Roscio, F, Pedrazzani, C, Meyer, J, Marino, M, Brasset, C, Daniel, C, Devriendt, S, Soldini, G, Pennisi, D, Richards, C, Fiore, F, Bocchino, A, Au, S, Hernandez-Garcia, M, Frontali, A, Grossi, U, Lolis, E, Miotto, M, Di Filippo, G, Seretis, C, Barberis, A, De Luca, R, Levi Sandri, G, Reitano, E, Mattioli, M, Sciaudone, G, Fuschillo, G, Schiltz, B, Low, J, Bointas, G, Cozza, V, Delaune, V, Vescio, F, Curcio, S, Sevik, H, Santocchi, P, Stecca, T, Balaphas, A, Chessa, A, Leo, C, di Mola, F, Tarallo, M, Martini, F, Lisi, G, Khan, M, Nicolazzi, M, Pinotti, E, Morini, A, Esposito, G, Buonomo, O, Corallino, D, Demir, A, Roesel, R, De Lucia, C, Maruccia, M, Tekin, O, Pavone, G, Pradelle, I, Chrysikos, M, Farrukh, M, Baiocchi, G, Piras, C, Abellán, A, Olivieri, L, Materazzo, M, Carbone, L, Dulskas, A, Mulita, F, Corronca, F, Cappuccio, M, Smerieri, E, Sotiropoulu, M, Violante, T, Moletta, L, Rutegård, M, Brillantino, A, Landaluce-Olavarria, A, Ossola, P, Bono, D, Rosés, H, Perez-Sanchez, L, Sabbatini, S, Scotti, M, Cammarata, R, Ibáñez, N, Marano, A, Palmisano, S, Cascales-Sanchez, P, Mosca, V, Ballester, C, Iordache-Petrescu, M, Pozza, G, Akay, O, Bollino, R, Toti, J, Mascianà, G, Pach, R, Sensi, B, Natalia, S, Coppola, A, Altinel, Y, Brucchi, F, Guitart, M, Salido, A, Tamini, N, Garoufalia, Z, Mifsut, P, Wilkins, A, Navarro-Sánchez, A, Cestaro, G, Conti, L, Carvas, J, Gazia, C, Alonso, P, Spiezio, G, Maggi, G, Juloski, J, Braccio, B, Pañella, C, Freixa, C, Petrakis, G, Folliero, C, De Andrés-Asenjo, B, Iodice, A, Jansson, H, González, T, Ortega, I, Castro, M, Fernicola, A, Aparicio, A, Ortega, N, Chouliaras, C, Tura, M, Sidiropoulou, Z, Gonzalez, A, Augustin, G, Segura-Sampedro, J, Cuk, V, Piccolo, G, Ingallinella, S, Ortenzi, M, Uggeri, F, Carrabetta, S, Tolonen, M, Formisano, G, Manfredelli, S, Perra, T, Esposito, F, Perrone, G, Zacharis, G, Menéndez, J, Bottcher, S, Ioannidis, O, Borges, N, Sousa, X, Colombari, R, Tellez, C, Capolupo, G, Giuliani, G, Mastella, F, González, L, Merlini, I, Ghignone, F, de Sa, T, Mangana, O, Rodriguez-Lopez, M, Alvarez-Gallego, M, Chowdhury, A, Di Lascio, P, Carneros, V, Angrisani, M, Conte, L, Montiel, C, Ascari, F, Dajti, I, Lapolla, P, Sperotto, B, Mazzarella, G, Capuano, M, Lopez, M, Ferrario, L, Bulte, J, López, M, Guerci, C, Marra, A, Belkacem, A, Pérez, R, Panyko, A, Dimitrov, E, Luque, E, Manrique, M, Paranyak, M, Kaur, M, Barugola, G, Farazi-Chongouki, C, Estaire-Gómez, M, del Olmo, J, Nardo, B, Mutlu, A, Rubio, A, Marchegiani, F, Cereda, M, Vinci, D, Komaei, I, Petrucciani, N, Seyfried, S, Krsicka, P, Medas, F, Lesko, D, Murzi, V, Siragusa, L, Guerrero, M, Iranzo, M, Cestino, L, Pasculli, A, Smerieri, N, Benzoni, I, Festa, F, Jordão, D, Licardie, E, Nicolaescu, D, Balassone, V, La Vaccara, V, Romano, F, Adamovich, D, Papatheodorou, P, Maroni, N, Colás-Ruiz, E, Melberga, L, Chimenti, F, Ferrari, D, Arcudi, C, Police, A, De Simone, B, Sánchez-Guillén, L, Parreño-Manchado, F, Rachadell, J, Coletta, D, Saroglu, A, Pattacini, G, Antonelli, A, Anania, M, Litta, F, Lafranceschina, S, Bottari, A, Pavlovic, M, 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Ferronetti, A, Güngör, M, Di Venere, B, Puccioni, C, De Nobili, G, Selvaggi, L, Farolfi, T, Aeschbacher, P, Olivier, J, Frazzetta, G, Andriola, V, Giordano, A, De Luca, A, Ferrara, F, Casagranda, B, Sammartano, F, Russo, A, Rossi, S, Pacilli, M, Synekidou, E, Tutino, R, Ceresoli, M, De Rosa, M, Di Santo Albini, A, Vincenzi, P, Vellei, S, Benzoni, E, Murillo, G, Izzo, G, Scotto, B, Caruso, R, Colombo, F, D'Acapito, F, Lostoridis, E, Saladino, E, Poillucci, G, Moeckli, B, Manto, O, Kara, Y, Tatar, C, Cioffi, S, Mambrilla, S, Bianchi, V, Scopelliti, M, Agresta, F, Nava, A, Franchi, E, Fransvea, P, Prieto, M, Picardi, B, Rizzuto, A, Panaccio, P, Gussago, S, Marra, E, Addeo, P, Fernández Fernández, J, Gulmez, M, Pisaniello, D, Cannavo, M, López-López, V, Avella, P, Peloso, A, Bellanova, G, Candilio, G, Perotti, B, Granata, R, Florio, G, Ioia, G, Iannone, I, Ammerata, G, Zambon, M, Del Monte, S, Sasia, D, Fortuna, L, Litvin, A, Cannistra, M, De Padua, C, Sánchez, T, Paniagua-Garcia-Señorans, M, Guevara, J, Perfecto, A, Alconchel, F, Campanelli, M, Keci, L, Cricrì, M, Kampouroglou, G, Bagaglini, G, Farrarons, S, Greco, A, Walędziak, M, Serrano-Navidad, M, Van Doorn, B, Schiavo, C, Fabbri, N, Wani, I, Mondi, I, Anestiadou, E, Mendes, B, Verdi, D, Dorovinis, P, Cacciaguerra, A, Caldeira, B, Canonico, G, Dardanov, D, D'Ugo, S, Francis, F, Meneghini, S, Pesce, A, Puglisi, S, Bellini, M, Giordano, M, Fleres, F, Campus, F, Cillara, N, Moggia, E, Ciarleglio, F, Calini, G, Gravante, G, De Carlis, R, Altomare, M, Martines, G, Miggino, M, Marano, L, Stocco, A, Porcu, A, Pham, T, Gervasi, M, Pilia, T, Palomba, G, Picchetto, A, Spampinato, M, Tandoi, F, Piccoli, M, Gall, M, Santos, B, Agastra, E, Koëter, T, Samadov, E, Marsanic, P, Serena, D, Uzunoglu, M, Zanus, G, Braholli, E, Giovine, G, Galiffa, G, Lauricella, S, Lukmonov, S, Leventoglu, S, Chooklin, S, Dudi-Venkata, N, Gauci, C, Podda, Mauro, Di Martino, Marcello, Pata, Francesco, Nigri, Giuseppe, Pisanu, Adolfo, Di Saverio, Salomone, Pellino, Gianluca, Ielpo, Benedetto, null, null, Tolla, Ashenafi Negash, Abdelkhalek, Mohamed, Emile, Sameh, Dinagde, Tesfaye Aga, Bouzid, Chafik, Mansour, Ahmed Mohammed Farid Mahmoud, Garzali, Ibrahim Umar, Aregawi, Alazar Berhe, Zaghloul, Tarek M., Kchaou, Ali, Awad, Selmy S., Souadka, Amine, Ted, Tedla Gebretsadik, Saumtally, Mohammad Saad, Ahmed, Bensaad, Bayileyegn, Nebiyou Simegnew, Nunziante, Marco, Shalaby, Mostafa, Debena, Dawit Gebregiorgis, Zena, Alemayehu Shanko, Adewunmi, Olayinka Lukman, Negasa, Tolera A., Bourguiba, Mohamed Aboulkacem, Feituri, Nura, Kebede, Kirubel Abebe, Elfeki, Hossam, Anas, Abdelhmed, Awad, Ahmed K., Ermias, Nebiyou, Hailemariam, Dagnachew H., Bejiga, Gosa Hundie, Imana, Ruhama Yoseph, Taffese, Abebe, Feleke, Tsega Terefe, Elghadban, Hosam Mohamed, Debela, Bizuneh Sime, Shiferaw, Desta, Tadesse, Robel, Chukwu, Isaac Sunday, Mohammed, Abdullahi Ibrahim, Hassen, Khalid Arebo, Obiagwu, Ndubuisi K., Tense, Tadesse H., Taeme, Mulugeta, Biniam, Ewnte, Tesfay, Goytom Knfe, Tegegn, Ayenachew Getachew, Teddy, Tewodros Abule Bilata, Bekana, Bekana L., Nidaw, Melkamu Kibret, Ali, Mahmoud Ibrahim, Gonfa, Kebebe Bekele, Kiros, Samuel, Belay, Tatek, Yallew, Gebeyaw Mengist, Wassie, Chekol, Ayalew, Alem Mekete, Asfaw, Fitsum Terefe, Aimal, Aimal Khan, Casas, Maria Agustina, Madrid, Fausto A., Diaz-Elizondo, Jose Antonio, Merlo, Ignacio Guillermo, De Campos, Tercio, Schlottmann, Francisco, Gomes, Carlos Augusto, Hernández, Edgard Efrén Lozada, Moncada-Ortega, Augusto, Ramos-De la Medina, Antonio, Vanerio, Patricio, Morales, Emilio J., Stringfield, Sarah Beth, Gallardo, Cristian, Fonseca, Vinicius Cordeiro, Muriel, Maria Emilia, Cantarino, Frederico, Fichera, Alessandro, Rodriguez, Agustin E., Salinas, Roberto Paúl Andrade, Crosbie, Gonzalo Gabriel, Menegozzo, Carlos Augusto Metidieri, Avellaneda, Nicolas, Briones, Cristhian Gonzalo Aspiazu, Varela, Cristopher, Lichliter, Warren E., Varela, Cristopher L., Koppel, Darren, Lenz, Jorge Godoy, Pascual, Franco, Sibaja-Matamoros, Dauber A., Johnson, Benjamin E., Mercado, Octavio Avila, Tita, Agustín, Mukherjee, Indraneil, Lorenzo, Irving, Rueda, Erick, Rico, Douglas, Terwes, Natasha Loria, Visag-Castillo, Victor, Escalante, Karol S., Salvador, Alan Francisco Alfaro, Pio, Luca, Rodas, Edgar B., Aguilar, Juan Carlos Cardozo, Neri, Ignacio, Barzola, Ernesto J., Barba, Leonardo A., Zuchini, Andrés Mendoza, Acevedo, Ana Karen Radilla, Gachabayov, Mahir, Gonsaga, Ricardo Alessandro Teixeira, Bonilla, Fernando, Knickerbocker, Chase Barrett, Tsouknidas, Ioannis, Salamea, Juan C., Travers, Lawrence Albert Salter, Nari, Gustavo Adrian, Pachajoa, Diana Alejandra Pantoja, Valadez, Michel Hernandez, Hale, Lyman Lansing, Perez, Guillermo, Choudhry, Asad, Foreman, Michaael L., Brito, Ismael, Ciro, Mauricio Pedraza, Newton, Carla Joyce, Souza, Hamilton Petry, Davis, Daniel G., Ferreira, Rodrigo Vaz, Keller, Deborah S., Miguel, Gustavo Machain, Singh-Ranger, Gurpreet, Linares, Neiling Massiel Oviedo, Singares, Eduardo Smith, Valdivieso, Xavier HGarcía, Teran, Alfonso Ivan Sanchez, Vargas, Luis Felipe Cabrera, Valinoti, Agustín, Milne, David M., Fleming, Andrew Martin, Quiroga-Garza, Alejandro, Espino, Eduardo Morales, Bedros, Nicole Mary, Funk, Geoffrey A., Neves, Fernanda V. S., Supit, Tommy, Baba, Arshad Ahmed, Chalkoo, Mushtaq A., Kucuk, Gultekin Ozan, Sarmiento, Ray Inocencio, Galeev, Shamil I., Korkoman, Mohammed J., Yang, Wah, Medappil, Noushif, Athar, Rahmatullah, Subramaniam, Ravichandran, Chia, Chi Fung, Alhazmi, Ahmad, Halder, Subhadip, Rusli, Siti Mayuha, Rashid, Arshad, Gülcü, Barış, Nagarajan, Prasanth, Rida, Khaled, Jamiri, Al-Radjid, Batıkan, Oğuzkağan, Khan, Huma Ahmed, Mitul, Ashrarur Rahman, Efetov, Sergey, Junior, Marcelo A. F. Ribeiro, Gulcu, Baris, Farooqui, Marryam Riaz, Mulpuri, Venu Bhargava, Bagaria, Dinesh, Yusoff, Ahmad Ramzi, Wani, Rauf, Younis, Muhammad Umar, Khobragade, Krunal H., Marwat, Muhammad Ibrahim, Bains, Lovenish, Kobe, Yoshiro, Koh, Peng Soon, Tantravahi, Umasankar, Mohamad Mohamad, Ikhwan Sani, Abu-Arish, Hamdoon, Yildirim, Ali Cihat, Ibrahim, Aini Fahriza, Tan, Jih Huei, Siagian, Dumaria Ketty, Bhattacharya, Neela, Chiu, Jennifer H. F., Paramasvaran, Ganendra, Voon, Kelvin, Göktepe, Berk, Lee, Lee Yeong Sing, Gupta, Amit, Rasheed, Faaiz, Al-Shehari, Mohammed, Syed, Syed Muhammad Ali, Bhat, Pawan Singh, Erdoğan, Emre, Roat, Rajesh, Nacion, Aeris Jane D., Saraiya, Swapnil Mukesh, Afolabi, Akinwale Ibrahim, Chai, Feng Yih, Ghannam, Wagih, Bhattacharya, Kaushik, NL, Harish, Aloun, Ali, Bhatti, Hamza Waqar, Koneti, Akshadhar J., Klib, Mohamad, Qureshi, Ahmad Uzair, Syn, Nicholas L., Wani, Ajaz, Saeidi, Sara, Zeb, Muhammad, Bandaru, Kalyan Vijay Kumar, Menna, Maria Paola, Morales-Conde, Salvador, Gessa, Emanuela, Sánchez-Cabús, Santiago, Spartalis, Eleftherios, Antropoli, Carmine, Manigrasso, Michele, Sica, Giuseppe S., Ercolani, Giorgio, Chitul, Andrei, Bacchiocchi, Giulia, Azevedo, José, Karamarkovic, Aleksandar, Bonavina, Luigi, Piozzi, Guglielmo N., Migueláñez, Isabel Pascual, Merlini, David, Major, Piotr, Grimaldi, Luciano, Calu, Valentin, Curro, Giuseppe, Cotsoglou, Christian, Baldini, Edoardo, Delis, Spiros, Kovacevic, Bojan, Masetti, Michele, Selvaggi, Francesco, Scabini, Stefano, Reiti, Andrian, Zullo, Alessia, Giuliani, Antonio, Alesina, Pier Francesco, Massey, Lisa H., Slesser, Alistair A. P., Neary, Peter M., Sahnan, Kapil, Tan, Jessica J., Colucci, Gianluca, Brady, Richard R. W., Mihailescu, Andrei, Adamina, Michel, Gerogiannis, Ioannis, van Ramshorst, Gabrielle, Paradiso, Giulia, Poto, Gianmario Edoardo, Massaro, Daniele, Nazir, Fozia, Stubbs, Benjamin M., Tasselli, Francesco Menegon, Muñoz-Cruzado, Virginia Durán, Sabia, Domenico, Vannelli, Alberto, Marsella, Valentina Enrica, Tomada, Elisa Paoluzzi, Giambusso, Mauro, Davies, Justin, Uzzau, Alessandro, Balla, Andrea, Scaringi, Stefano, Lancellotti, Francesco, Douka, Eleftheria, Argenio, Giulio, Cassese, Gianluca, Ammendola, Michele, Morelli, Luca, Francone, Elisa, Bala, Miklosh, Thambi, Prem, Iacobone, Maurizio, Campisi, Andrea, Tejedor, Patricia, Spoletini, Gabriele, Mascherini, Matteo, Belia, Francesco, Idiz, Ufuk Oguz, Colak, Elif, Peters, Paul Adewunmi, Ros, Emilio Peña, Aytac, Erman, Vilallonga, Ramon, Serrablo, Alejandro, Muttillo, Edoardo Maria, Di Franco, Gregorio, Vanni, Gianluca, Isik, Arda, Sbacco, Valentina, Tropeano, Francesca Paola, Porcellini, Iride, Butler, Rebecca Jayne, Fernandez, Carmen Cagigas, Papadopoulos, Aristeidis, Salvans, Silvia, Khan, Jan Sher, Bellver, Pedro Palazón, Mc Farlane, Sebastian Jeri, Apostolou, Konstantinos, Tur-Martinez, Jaume, Castellano, Javier Rivera, Santoliquido, Matteo, Tallon-Aguilar, Luis, Celentano, Valerio, Aliyev, Vusal, al-Najami, Issam, Grama, Florin A., Masior, Łukasz, Ciesielski, Wojciech J., Luberto, Antonio, Sparavigna, Marco, Klimczak, Tomasz Jerzy, Negoi, Ionut, Serradilla-Martín, Mario, Marinis, Athanasios, Cammarat, Roberto, Bellido-luque, Juan, Manzo, Carlo Alberto, Milana, Flavio, Luglio, Gaetano, Zarnescu, Narcis Octavian, Martínez, Isidro, Olmi, Stefano, Costea, Radu V., Cerdán-Santacruz, Carlos, Gica, Nicolae, Rompianesi, Gianluca, Gallo, Gaetano, Ridolfi, Cristina, Sahid, Saidah, CC, Tommaso, López-Soler, Guillermo, Díaz, Carlos JGómez, Mccawley, Niamh, Luzzi, Andrea Pierre, Abelló, David, Bonito, Alba Correa, Ntomi, Vasileia, Gourgiotis, Stavros, Pazos, Natalia Suárez, Toscano, Marta Jiménez, Zafra, David Ambrona, Beisani, Marc, Oliva, Alba, Guler, Mert, Gómez, Marta Jiménez, Oddis, Lidia, Montcusí, Blanca, Delgado, Ander Timoteo, Lasarte, Mateusz PJęckowski Aingeru Sarriuga, Antonacci, Nicola, Sartori, Alberto, Taylor, John Vincent, de Santos Iglesias, Francisco Juan, Mastronardi, Manuela, Gunay, Emre, Yiu, Andrew, Cano-Valderrama, Oscar, Costantini, Giulia, Digne-Malcolm, Holly Jane, Petropoulou, Thalia, Horesh, Nir, Kelly, Michael E., Ahmed, Nauman, Wyroslak-Najs, Justyna, Naik, Prashant, Vigorita, Vincenzo, Michael, Michael, Castro, Ernest, Paspala, Anna, D'Ambrosio, Marco, Pangeni, Anang, Dziakova, Jana, Terés, Lara Blanco, Lorente-Poch, Leyre, Di Carlo, Isidoro, Spartalis, Michael, Moro-Valdezate, David, Davey, Matthew G., Turrado-Rodriguez, Victor, Tryliskyy, Yegor, Calussi, Marco, Farré, Silvia Pérez, Labat, Miriam Cazador, Marafante, Chiara, Takkenberg, Marijn, Brookes, Charlotte Elisabeth, Soares, Antonio S., Gialamas, Eleftherios, Caputo, Damiano, Corrons, Laia Codina, Capitano, Sante, Charalabopoulos, Alexandros, Don, Cristine Brooke Pathirannehalage, Marrano, Enrico, Giuffrida, Maria Carmela, Tomasicchio, Giovanni, Bellato, Vittoria, Stijns, Jasper, Creavin, Ben, Schizas, Dimitrios, Blanco-Antona, Francisco, Kykalos, Stylianos, Tartaglia, Nicola, Pelegrina, Amalia, Barranquero, Alberto G., Schena, Carlo Alberto, Cremona, Simone, Baili, Efstratia, Cianci, Pasquale, Di Bella, Annamaria, Forcignanò, Edoardo, Fabbrizio, Tiziana, Salvetti, Francesco, Inama, Marco, Campagnaro, Tommaso, Deerenberg, Eva B., Reccia, Isabella, Rocca, Aldo, Fazio, Federico, Tampakis, Athanasios, Tepelenis, Kostas, Di Meo, Giovanna, Konstantoudakis, Georgios, Manatakis, Dimitrios K., Mineccia, Michela, Delvecchio, Antonella, Faro, Carmelo Lo, Rosso, Edoardo, Bandyopadhyay, Samik K., Queffurus, Michael, Marin, Jacopo Nicolò, Corvasce, Arianna, Chillarge, Gauri, Mohammed, Mohammed Mustafa, Reid, Rebecca, Gherardi, Dario, Naeem, Awais, Pandanaboyana, Sanjay, Tayeh, Salim, Chevallay, Mickael, Sergeant, Gregory, Cuccomarino, Salvatore, Salimian, Nick, Kapsampelis, Panagiotis, Ferretti, Carlotta, Glasbey, James, Harvitkar, Rafique Umer, Iqbal, Muhammad Rafaih, de Oliveira, Gabriel Paiva, Pérez-Bertólez, Sonia, Bergna, Alessandro, Brisinda, Giuseppe, Rottoli, Matteo, Roscio, Francesco, Pedrazzani, Corrado, Meyer, Jeremy, Marino, Marco V., Brasset, Camille, Daniel, Clerc, Devriendt, Stefanie, Soldini, Gabriele, Pennisi, Damiano, Richards, Chris B., Fiore, Felicia, Bocchino, Antonio, Au, Stephanie, Hernandez-Garcia, Miguel, Frontali, Alice, Grossi, Ugo, Lolis, Evangelos, Miotto, Marco, Di Filippo, Giacomo, Seretis, Charalampos, Barberis, Andrea, De Luca, Raffaele, Levi Sandri, Giovanni Battista, Reitano, Elisa, Mattioli, Marco, Sciaudone, Guido, Fuschillo, Giacomo, Schiltz, Boris, Low, Juin, Bointas, Georgios, Cozza, Valerio, Delaune, Vaihere, Vescio, Francesca, Curcio, Silvia, Sevik, Husnu, Santocchi, Pietro, Stecca, Tommaso, Balaphas, Alexandre, Chessa, Antonella, Leo, Cosimo Alex, di Mola, Fabio F., Tarallo, Mariarita, Martini, Francesco, Lisi, Giorgio, Khan, Mansoor, Nicolazzi, Marco, Pinotti, Enrico, Morini, Andrea, Esposito, Giuseppe, Buonomo, Oreste Claudio, Corallino, Diletta, Demir, Anıl, Roesel, Raffaello, De Lucia, Chiara, Maruccia, Michele, Tekin, Oguzhan, Pavone, Giovanna, Gupta, Ashish, Pradelle, Irene, Chrysikos, Michael, Farrukh, Maira, Baiocchi, Gian Luca, Piras, Carla, Abellán, Antonio Melero, Olivieri, Laura, Materazzo, Marco, Carbone, Ludovico, Dulskas, Audrius, Mulita, Francesk, Corronca, Federico, Cappuccio, Micaela, Smerieri, Elia, Sotiropoulu, Maria, Violante, Tommaso, Moletta, Lucia, Rutegård, Martin, Brillantino, Antonio, Landaluce-Olavarria, Aitor, Ossola, Paolo, Bono, Dario, Rosés, Helena Salvador, Perez-Sanchez, Luis E., Sabbatini, Sonia, Scotti, Mauro Alessandro, Cammarata, Roberto, Ibáñez, Noelia, Marano, Alessandra, Palmisano, Silvia, Cascales-Sanchez, Pedro, Mosca, Vinicio, Ballester, Cristina, Iordache-Petrescu, Madalina Ionela, Pozza, Gioia, Akay, Omer, Bollino, Ruggero, Toti, Johannes M. A., Mascianà, Gianluca, Pach, Radoslaw, Sensi, Bruno, Natalia, Savvala N., Coppola, Alessandro, Altinel, Yuksel, Brucchi, Francesco, Guitart, Marc Pérez, Salido, Andrea Jiménez, Tamini, Nicolò, Garoufalia, Zoe, Mifsut, Patricia, Wilkins, Alex, Navarro-Sánchez, Antonio, Cestaro, Giovanni, Conti, Luigi, Carvas, João M. B., Gazia, Carlo, Alonso, Patricia, Spiezio, Giovanni, Maggi, Giulia, Juloski, Jovan, Braccio, Bartolomeo, Pañella, Clara, Freixa, Celia Caula, Petrakis, Georgios, Folliero, Cristina, De Andrés-Asenjo, Beatriz, Iodice, Alessandra, Jansson, Hannes, González, Tomas Elosua, Ortega, Irene, Castro, Maria J., Fernicola, Agostino, Aparicio, Antonio Carlos Maya, Ortega, Nuria, Chouliaras, Christos, Tura, Marina Vila, Sidiropoulou, Zacharoula, Gonzalez, Ana, Augustin, Goran, Segura-Sampedro, Juan J., Cuk, Vladica, Piccolo, Gaetano, Ingallinella, Sara, Ortenzi, Monica, Uggeri, Fabio, Carrabetta, Salvatore, Tolonen, Matti, Formisano, Giampaolo, Manfredelli, Simone, Perra, Teresa, Esposito, Francesco, Perrone, Gennaro, Zacharis, Georgios, Menéndez, Jaime Iturbe, Bottcher, Sofia Maria Jaume, Ioannidis, Orestis, Borges, Nuno, Sousa, Xavier, Colombari, Renan C., Tellez, Clara, Capolupo, Gabriella Teresa, Giuliani, Giuseppe, Mastella, Federica, González, Lluis García, Merlini, Ilenia, Ghignone, Federico, de Sa, Tiago Correia, Mangana, Orsalia, Rodriguez-Lopez, Mario, Alvarez-Gallego, Mario, Chowdhury, Ashim, Di Lascio, Pierpaolo, Carneros, Virginia Jiménez, Angrisani, Marco, Conte, Luigi E., Montiel, Carmen Galiana, Ascari, Francesca, Dajti, Irida, Lapolla, Pierfrancesco, Sperotto, Beatrice, Mazzarella, Gennaro, Capuano, Marianna, Lopez, Maria Martinez, Ferrario, Luca, Bulte, Joris P., López, María Martínez, Guerci, Claudio, Marra, Angelo Alessandro, Belkacem, Acidi, Pérez, Raquel Escalera, Panyko, Arpád, Dimitrov, Evgeni, Luque, Eduardo J., Manrique, Mario Montes, Paranyak, Mykola, Kaur, Mandeep, Barugola, Giuliano, Farazi-Chongouki, Christos, Estaire-Gómez, Mercedes, del Olmo, Juan Carlos Martín, Nardo, Bruno, Mutlu, Arda Ulaş, Rubio, Ainhoa Valle, Merlini, David A., Marchegiani, Francesco, Cereda, Marco Angelo, Vinci, Danilo, Komaei, Iman, Petrucciani, Niccolo, Seyfried, Steffen, Krsicka, Petr, Medas, Fabio, Lesko, Dusan, Murzi, Valentina, Siragusa, Leandro, Guerrero, María Alejandra, Iranzo, Marina Alarcón, Cestino, Luca, Pasculli, Alessandro, Smerieri, Nazareno, Benzoni, Ilaria, Festa, Federico, Jordão, Daniel Filipe Martins, Licardie, Eugenio, Nicolaescu, Diana C., Balassone, Valerio, La Vaccara, Vincenzo, Romano, Fabrizio, Adamovich, Dmitry Mikhailovich, Papatheodorou, Panayiotis, Maroni, Norvana, Colás-Ruiz, Enrique, Melberga, Liene, Chimenti, Federica, Ferrari, Davide, Arcudi, Claudio, Police, Andrea, De Simone, Belinda, Sánchez-Guillén, Luis, Parreño-Manchado, Felipe Carlos, Rachadell, Juan José, Coletta, Diego, Saroglu, Azize, Pattacini, Gianmaria Casoni, Antonelli, Amedeo, Anania, Marco, Litta, Francesco, Lafranceschina, Stefano, Bottari, Andrea, Pavlovic, Mladen, Rojas-Bonet, Noel, Tampaki, Ekaterini Christina, Kosir, Jurij A., Anelli, Ferdinando M., de las Casas, Sara Gortázar, Kucukarslan, Rabia, Pierobon, Elisa Sefora, Milanesi, Maria, Drogouti, Maria, Sotiropoulou, Maria, Di Marco, Federica, Bannone, Elisa, Sliwinski, Svenja Christin, Yildiz, Ishak, Pellicciaro, Marco, Celotti, Andrea, Malerba, Michele, Marino, Fabio, Bourmpouteli, Eirini, Bianco, Giuseppe, Charitaki, Evgenia, Pascale, Marco Maria, Ioannidis, Argyrios, Maraska, Fatlum, Petagna, Lorenzo, Turri, Giulia, Vailas, Michail, Romanzi, Andrea, Pouwels, Sjaak, Rosa, Fausto, Clocchiatti, Lucrezia, Andreuccetti, Jacopo, Machairas, Nikolaos, Frountzas, Maximos, Lasithiotakis, Konstantinos, Barone, Mirko, Christodoulou, Prokopis, Potkonjak, Dario, Aiolfi, Alberto, de Vries, Hilbert S., Napetti, Sara, Castaldi, Antonio, Botelho, Pedro, Marziali, Irene, Uccelli, Matteo, Pisano, Michele, Veroux, Massimiliano, Locci, Eleonora, Romano, Angela, Cero, Mariagiulia Dal, Cicerchia, Pierfranco Maria, Baldi, Caterina, Russo, Iris Shari, Tenconi, Silvia Maria, Saliu, Fatmir, Bondurri, Andrea, Cardinali, Luca, Laracca, Giovanni Guglielmo, Martín-Pérez, Beatriz, Felsenreich, Daniel M., Cunha, Miguel, Zerbo, Domenico, Clementi, Marco, Delogu, Daniele, Iossa, Angelo, Bavikatte, Akshay Prasannakumar, Saracoglu, Can, Pecorelli, Nicolò, Tufo, Andrea, Biloslavo, Alan, Lianos, Georgios D., Carannante, Filippo, Costanzo, Antonio, Montuori, Mauro, Cigognini, Maria, Silvestro, Roberto, Atici, Semra Demirli, Milito, Pamela, Ferronetti, Antonio, Güngör, Mert, Di Venere, Beatrice, Puccioni, Caterina, De Nobili, Giovanni, Selvaggi, Lucio, Farolfi, Tommaso, Aeschbacher, Pauline, Olivier, James B., Frazzetta, Giuseppe, Andriola, Valeria, Giordano, Alessio, De Luca, Alessandro, Ferrara, Francesco, Casagranda, Biagio, Sammartano, Fabrizio, Russo, Alfio Alessandro, Rossi, Stefano, Pacilli, Mario, Synekidou, Eirini, Tutino, Roberta, Ceresoli, Marco, De Rosa, Michele, Di Santo Albini, Andrea G., Vincenzi, Paolo, Vellei, Samantha, Benzoni, Enrico, Murillo, Gabriela Aracelly Arroyo, Izzo, Giuliano, Scotto, Bruno, Caruso, Riccardo, Colombo, Francesco, D'Acapito, Fabrizio, Lostoridis, Eftychios, Saladino, Edoardo, Poillucci, Gaetano, Moeckli, Beat, Manto, Ottavia, Kara, Yasin, Tatar, Cihad, Cioffi, Stefano Piero Bernardo, Mambrilla, Sara, Bianchi, Valentina, Scopelliti, Michele, Agresta, Ferdinando, Nava, Andrea Kazemi, Franchi, Eloisa, Fransvea, Pietro, Prieto, Mikel, Picardi, Biagio, Rizzuto, Antonia, Panaccio, Paolo, Gussago, Stefano, Marra, Ester, Addeo, Pietro, Fernández Fernández, June, Gulmez, Mehmet, Pisaniello, Donatella, Cannavo, Maurizio, López-López, Victor, Avella, Pasquale, Peloso, Andrea, Bellanova, Giovanni, Candilio, Giuseppe, Perotti, Bruno, Granata, Roberta, Florio, Gaetano, Ioia, Giovanna, Iannone, Immacolata, Ammerata, Giorgio, Zambon, Martina, Romano, Francesco Maria, Del Monte, Simone Rossi, Sasia, Diego, Fortuna, Laura, Giuffrida, Mario, Litvin, Andrey, Cannistra, Marco, De Padua, Cristina, Sánchez, Tatiana Gómez, Paniagua-Garcia-Señorans, Marta, Guevara, Jenny, Perfecto, Arkaitz, Alconchel, Felipe, Campanelli, Michela, Keci, Laura, Cricrì, Michele, Kampouroglou, Georgios, Bagaglini, Giulia, Farrarons, Sara Sentí, Greco, Antonio, Walędziak, Maciej, Carvas, João M., Serrano-Navidad, Monica, Van Doorn, Berend, Schiavo, Ciro, Fabbri, Nicolò, Wani, Ishfaq Ahmad, Mondi, Isabella, Anestiadou, Elissavet, Mendes, Beatriz ISilva, Verdi, Daunia, Dorovinis, Panagiotis, Cacciaguerra, Andrea Benedetti, Caldeira, Beatriz, Canonico, Giuseppe, Dardanov, Dragomir, D'Ugo, Stefano, Francis, Fayez Maged, Meneghini, Simona, Pesce, Antonio, Puglisi, Silvana Bernadetta, Bellini, Maria Irene, Pisano, Marcello, Giordano, Marco, Fleres, Francesco, Campus, Federica, Cillara, Nicola, Moggia, Elisabetta, Ciarleglio, Francesco A., Calini, Giacomo, Gravante, Gianpiero, De Carlis, Riccardo, Altomare, Michele, Martines, Gennaro, Miggino, Marco, Marano, Luigi, Stocco, Alberto, Porcu, Alberto, Pham, Thuy Vy, Gervasi, Maria Clelia, Pilia, Tiziana, Palomba, Giuseppe, Picchetto, Andrea, Spampinato, Marcello Giuseppe, Tandoi, Francesco, Piccoli, Micaela, Gall, Malina ECaraiman, Santos, Bárbara Ribeiro, Agastra, Ervis, Koëter, Tijmen, Samadov, Elgun, Marsanic, Patrizia, Serena, De Fatico Gilda, Uzunoglu, Mustafa Yener, Zanus, Giacomo, Braholli, Eriol, Giovine, Gennaro, Galiffa, Giampaolo, Lauricella, Sara, Lukmonov, Saidrakhim, Leventoglu, Sezai, Chooklin, Serge, Dudi-Venkata, Nagendra N., Gauci, Chahaya M., Podda, M, Di Martino, M, Pata, F, Nigri, G, Pisanu, A, Di Saverio, S, Pellino, G, Ielpo, B, Null, N, Tolla, A, Abdelkhalek, M, Emile, S, Dinagde, T, Bouzid, C, Mansour, A, Garzali, I, Aregawi, A, Zaghloul, T, Kchaou, A, Awad, S, Souadka, A, Ted, T, Saumtally, M, Ahmed, B, Bayileyegn, N, Nunziante, M, Shalaby, M, Debena, D, Zena, A, Adewunmi, O, Negasa, T, Bourguiba, M, Feituri, N, Kebede, K, Elfeki, H, Anas, A, Awad, A, Ermias, N, Hailemariam, D, Bejiga, G, Imana, R, Taffese, A, Feleke, T, Elghadban, H, Debela, B, Shiferaw, D, Tadesse, R, Chukwu, I, Mohammed, A, Hassen, K, Obiagwu, N, Tense, T, Taeme, M, Biniam, E, Tesfay, G, Tegegn, A, Teddy, T, Bekana, B, Nidaw, M, Ali, M, Gonfa, K, Kiros, S, Belay, T, Yallew, G, Wassie, C, Ayalew, A, Asfaw, F, Aimal, A, Casas, M, Madrid, F, Diaz-Elizondo, J, Merlo, I, De Campos, T, Schlottmann, F, Gomes, C, Hernández, E, Moncada-Ortega, A, Ramos-De la Medina, A, Vanerio, P, Morales, E, Stringfield, S, Gallardo, C, Fonseca, V, Muriel, M, Cantarino, F, Fichera, A, Rodriguez, A, Salinas, R, Crosbie, G, Menegozzo, C, Avellaneda, N, Briones, C, Varela, C, Lichliter, W, Koppel, D, Lenz, J, Pascual, F, Sibaja-Matamoros, D, Johnson, B, Mercado, O, Tita, A, Mukherjee, I, Lorenzo, I, Rueda, E, Rico, D, Terwes, N, Visag-Castillo, V, Escalante, K, Salvador, A, Pio, L, Rodas, E, Aguilar, J, Neri, I, Barzola, E, Barba, L, Zuchini, A, Acevedo, A, Gachabayov, M, Gonsaga, R, Bonilla, F, Knickerbocker, C, Tsouknidas, I, Salamea, J, Travers, L, Nari, G, Pachajoa, D, Valadez, M, Hale, L, Perez, G, Choudhry, A, Foreman, M, Brito, I, Ciro, M, Newton, C, Souza, H, Davis, D, Ferreira, R, Keller, D, Miguel, G, Singh-Ranger, G, Linares, N, Singares, E, Valdivieso, X, Teran, A, Vargas, L, Valinoti, A, Milne, D, Fleming, A, Quiroga-Garza, A, Espino, E, Bedros, N, Funk, G, Neves, F, Supit, T, Baba, A, Chalkoo, M, Kucuk, G, Sarmiento, R, Galeev, S, Korkoman, M, Yang, W, Medappil, N, Athar, R, Subramaniam, R, Chia, C, Alhazmi, A, Halder, S, Rusli, S, Rashid, A, Gülcü, B, Nagarajan, P, Rida, K, Jamiri, A, Batıkan, O, Khan, H, Mitul, A, Efetov, S, Junior, M, Gulcu, B, Farooqui, M, Mulpuri, V, Bagaria, D, Yusoff, A, Wani, R, Younis, M, Khobragade, K, Marwat, M, Bains, L, Kobe, Y, Koh, P, Tantravahi, U, Mohamad Mohamad, I, Abu-Arish, H, Yildirim, A, Ibrahim, A, Tan, J, Siagian, D, Bhattacharya, N, Chiu, J, Paramasvaran, G, Voon, K, Göktepe, B, Lee, L, Gupta, A, Rasheed, F, Al-Shehari, M, Syed, S, Bhat, P, Erdoğan, E, Roat, R, Nacion, A, Saraiya, S, Afolabi, A, Chai, F, Ghannam, W, Bhattacharya, K, Nl, H, Aloun, A, Bhatti, H, Koneti, A, Klib, M, Qureshi, A, Syn, N, Wani, A, Saeidi, S, Zeb, M, Bandaru, K, Menna, M, Morales-Conde, S, Gessa, E, Sánchez-Cabús, S, Spartalis, E, Antropoli, C, Manigrasso, M, Sica, G, Ercolani, G, Chitul, A, Bacchiocchi, G, Azevedo, J, Karamarkovic, A, Bonavina, L, Piozzi, G, Migueláñez, I, Merlini, D, Major, P, Grimaldi, L, Calu, V, Curro, G, Cotsoglou, C, Baldini, E, Delis, S, Kovacevic, B, Masetti, M, Selvaggi, F, Scabini, S, Reiti, A, Zullo, A, Giuliani, A, Alesina, P, Massey, L, Slesser, A, Neary, P, Sahnan, K, Colucci, G, Brady, R, Mihailescu, A, Adamina, M, Gerogiannis, I, van Ramshorst, G, Paradiso, G, Poto, G, Massaro, D, Nazir, F, Stubbs, B, Tasselli, F, Muñoz-Cruzado, V, Sabia, D, Vannelli, A, Marsella, V, Tomada, E, Giambusso, M, Davies, J, Uzzau, A, Balla, A, Scaringi, S, Lancellotti, F, Douka, E, Argenio, G, Cassese, G, Ammendola, M, Morelli, L, Francone, E, Bala, M, Thambi, P, Iacobone, M, Campisi, A, Tejedor, P, Spoletini, G, Mascherini, M, Belia, F, Idiz, U, Colak, E, Peters, P, Ros, E, Aytac, E, Vilallonga, R, Serrablo, A, Muttillo, E, Di Franco, G, Vanni, G, Isik, A, Sbacco, V, Tropeano, F, Porcellini, I, Butler, R, Fernandez, C, Papadopoulos, A, Salvans, S, Khan, J, Bellver, P, Mc Farlane, S, Apostolou, K, Tur-Martinez, J, Castellano, J, Santoliquido, M, Tallon-Aguilar, L, Celentano, V, Aliyev, V, al-Najami, I, Grama, F, Masior, Ł, Ciesielski, W, Luberto, A, Sparavigna, M, Klimczak, T, Negoi, I, Serradilla-Martín, M, Marinis, A, Cammarat, R, Bellido-luque, J, Manzo, C, Milana, F, Luglio, G, Zarnescu, N, Martínez, I, Olmi, S, Costea, R, Cerdán-Santacruz, C, Gica, N, Rompianesi, G, Gallo, G, Ridolfi, C, Sahid, S, Cc, T, López-Soler, G, Díaz, C, Mccawley, N, Luzzi, A, Abelló, D, Bonito, A, Ntomi, V, Gourgiotis, S, Pazos, N, Toscano, M, Zafra, D, Beisani, M, Oliva, A, Guler, M, Gómez, M, Oddis, L, Montcusí, B, Delgado, A, Lasarte, M, Antonacci, N, Sartori, A, Taylor, J, de Santos Iglesias, F, Mastronardi, M, Gunay, E, Yiu, A, Cano-Valderrama, O, Costantini, G, Digne-Malcolm, H, Petropoulou, T, Horesh, N, Kelly, M, Ahmed, N, Wyroslak-Najs, J, Naik, P, Vigorita, V, Michael, M, Castro, E, Paspala, A, D'Ambrosio, M, Pangeni, A, Dziakova, J, Terés, L, Lorente-Poch, L, Di Carlo, I, Spartalis, M, Moro-Valdezate, D, Davey, M, Turrado-Rodriguez, V, Tryliskyy, Y, Calussi, M, Farré, S, Labat, M, Marafante, C, Takkenberg, M, Brookes, C, Soares, A, Gialamas, E, Caputo, D, Corrons, L, Capitano, S, Charalabopoulos, A, Don, C, Marrano, E, Giuffrida, M, Tomasicchio, G, Bellato, V, Stijns, J, Creavin, B, Schizas, D, Blanco-Antona, F, Kykalos, S, Tartaglia, N, Pelegrina, A, Barranquero, A, Schena, C, Cremona, S, Baili, E, Cianci, P, Di Bella, A, Forcignanò, E, Fabbrizio, T, Salvetti, F, Inama, M, Campagnaro, T, Deerenberg, E, Reccia, I, Rocca, A, Fazio, F, Tampakis, A, Tepelenis, K, Di Meo, G, Konstantoudakis, G, Manatakis, D, Mineccia, M, Delvecchio, A, Faro, C, Rosso, E, Bandyopadhyay, S, Queffurus, M, Marin, J, Corvasce, A, Chillarge, G, Mohammed, M, Reid, R, Gherardi, D, Naeem, A, Pandanaboyana, S, Tayeh, S, Chevallay, M, Sergeant, G, Cuccomarino, S, Salimian, N, Kapsampelis, P, Ferretti, C, Glasbey, J, Harvitkar, R, Iqbal, M, de Oliveira, G, Pérez-Bertólez, S, Bergna, A, Brisinda, G, Rottoli, M, Roscio, F, Pedrazzani, C, Meyer, J, Marino, M, Brasset, C, Daniel, C, Devriendt, S, Soldini, G, Pennisi, D, Richards, C, Fiore, F, Bocchino, A, Au, S, Hernandez-Garcia, M, Frontali, A, Grossi, U, Lolis, E, Miotto, M, Di Filippo, G, Seretis, C, Barberis, A, De Luca, R, Levi Sandri, G, Reitano, E, Mattioli, M, Sciaudone, G, Fuschillo, G, Schiltz, B, Low, J, Bointas, G, Cozza, V, Delaune, V, Vescio, F, Curcio, S, Sevik, H, Santocchi, P, Stecca, T, Balaphas, A, Chessa, A, Leo, C, di Mola, F, Tarallo, M, Martini, F, Lisi, G, Khan, M, Nicolazzi, M, Pinotti, E, Morini, A, Esposito, G, Buonomo, O, Corallino, D, Demir, A, Roesel, R, De Lucia, C, Maruccia, M, Tekin, O, Pavone, G, Pradelle, I, Chrysikos, M, Farrukh, M, Baiocchi, G, Piras, C, Abellán, A, Olivieri, L, Materazzo, M, Carbone, L, Dulskas, A, Mulita, F, Corronca, F, Cappuccio, M, Smerieri, E, Sotiropoulu, M, Violante, T, Moletta, L, Rutegård, M, Brillantino, A, Landaluce-Olavarria, A, Ossola, P, Bono, D, Rosés, H, Perez-Sanchez, L, Sabbatini, S, Scotti, M, Cammarata, R, Ibáñez, N, Marano, A, Palmisano, S, Cascales-Sanchez, P, Mosca, V, Ballester, C, Iordache-Petrescu, M, Pozza, G, Akay, O, Bollino, R, Toti, J, Mascianà, G, Pach, R, Sensi, B, Natalia, S, Coppola, A, Altinel, Y, Brucchi, F, Guitart, M, Salido, A, Tamini, N, Garoufalia, Z, Mifsut, P, Wilkins, A, Navarro-Sánchez, A, Cestaro, G, Conti, L, Carvas, J, Gazia, C, Alonso, P, Spiezio, G, Maggi, G, Juloski, J, Braccio, B, Pañella, C, Freixa, C, Petrakis, G, Folliero, C, De Andrés-Asenjo, B, Iodice, A, Jansson, H, González, T, Ortega, I, Castro, M, Fernicola, A, Aparicio, A, Ortega, N, Chouliaras, C, Tura, M, Sidiropoulou, Z, Gonzalez, A, Augustin, G, Segura-Sampedro, J, Cuk, V, Piccolo, G, Ingallinella, S, Ortenzi, M, Uggeri, F, Carrabetta, S, Tolonen, M, Formisano, G, Manfredelli, S, Perra, T, Esposito, F, Perrone, G, Zacharis, G, Menéndez, J, Bottcher, S, Ioannidis, O, Borges, N, Sousa, X, Colombari, R, Tellez, C, Capolupo, G, Giuliani, G, Mastella, F, González, L, Merlini, I, Ghignone, F, de Sa, T, Mangana, O, Rodriguez-Lopez, M, Alvarez-Gallego, M, Chowdhury, A, Di Lascio, P, Carneros, V, Angrisani, M, Conte, L, Montiel, C, Ascari, F, Dajti, I, Lapolla, P, Sperotto, B, Mazzarella, G, Capuano, M, Lopez, M, Ferrario, L, Bulte, J, López, M, Guerci, C, Marra, A, Belkacem, A, Pérez, R, Panyko, A, Dimitrov, E, Luque, E, Manrique, M, Paranyak, M, Kaur, M, Barugola, G, Farazi-Chongouki, C, Estaire-Gómez, M, del Olmo, J, Nardo, B, Mutlu, A, Rubio, A, Marchegiani, F, Cereda, M, Vinci, D, Komaei, I, Petrucciani, N, Seyfried, S, Krsicka, P, Medas, F, Lesko, D, Murzi, V, Siragusa, L, Guerrero, M, Iranzo, M, Cestino, L, Pasculli, A, Smerieri, N, Benzoni, I, Festa, F, Jordão, D, Licardie, E, Nicolaescu, D, Balassone, V, La Vaccara, V, Romano, F, Adamovich, D, Papatheodorou, P, Maroni, N, Colás-Ruiz, E, Melberga, L, Chimenti, F, Ferrari, D, Arcudi, C, Police, A, De Simone, B, Sánchez-Guillén, L, Parreño-Manchado, F, Rachadell, J, Coletta, D, Saroglu, A, Pattacini, G, Antonelli, A, Anania, M, Litta, F, Lafranceschina, S, Bottari, A, Pavlovic, M, Rojas-Bonet, N, Tampaki, E, Kosir, J, Anelli, F, de las Casas, S, Kucukarslan, R, Pierobon, E, Milanesi, M, Drogouti, M, Sotiropoulou, M, Di Marco, F, Bannone, E, Sliwinski, S, Yildiz, I, Pellicciaro, M, Celotti, A, Malerba, M, Marino, F, Bourmpouteli, E, Bianco, G, Charitaki, E, Pascale, M, Ioannidis, A, Maraska, F, Petagna, L, Turri, G, Vailas, M, Romanzi, A, Pouwels, S, Rosa, F, Clocchiatti, L, Andreuccetti, J, Machairas, N, Frountzas, M, Lasithiotakis, K, Barone, M, Christodoulou, P, Potkonjak, D, Aiolfi, A, de Vries, H, Napetti, S, Castaldi, A, Botelho, P, Marziali, I, Uccelli, M, Pisano, M, Veroux, M, Locci, E, Romano, A, Cero, M, Cicerchia, P, Baldi, C, Russo, I, Tenconi, S, Saliu, F, Bondurri, A, Cardinali, L, Laracca, G, Martín-Pérez, B, Felsenreich, D, Cunha, M, Zerbo, D, Clementi, M, Delogu, D, Iossa, A, Bavikatte, A, Saracoglu, C, Pecorelli, N, Tufo, A, Biloslavo, A, Lianos, G, Carannante, F, Costanzo, A, Montuori, M, Cigognini, M, Silvestro, R, Atici, S, Milito, P, Ferronetti, A, Güngör, M, Di Venere, B, Puccioni, C, De Nobili, G, Selvaggi, L, Farolfi, T, Aeschbacher, P, Olivier, J, Frazzetta, G, Andriola, V, Giordano, A, De Luca, A, Ferrara, F, Casagranda, B, Sammartano, F, Russo, A, Rossi, S, Pacilli, M, Synekidou, E, Tutino, R, Ceresoli, M, De Rosa, M, Di Santo Albini, A, Vincenzi, P, Vellei, S, Benzoni, E, Murillo, G, Izzo, G, Scotto, B, Caruso, R, Colombo, F, D'Acapito, F, Lostoridis, E, Saladino, E, Poillucci, G, Moeckli, B, Manto, O, Kara, Y, Tatar, C, Cioffi, S, Mambrilla, S, Bianchi, V, Scopelliti, M, Agresta, F, Nava, A, Franchi, E, Fransvea, P, Prieto, M, Picardi, B, Rizzuto, A, Panaccio, P, Gussago, S, Marra, E, Addeo, P, Fernández Fernández, J, Gulmez, M, Pisaniello, D, Cannavo, M, López-López, V, Avella, P, Peloso, A, Bellanova, G, Candilio, G, Perotti, B, Granata, R, Florio, G, Ioia, G, Iannone, I, Ammerata, G, Zambon, M, Del Monte, S, Sasia, D, Fortuna, L, Litvin, A, Cannistra, M, De Padua, C, Sánchez, T, Paniagua-Garcia-Señorans, M, Guevara, J, Perfecto, A, Alconchel, F, Campanelli, M, Keci, L, Cricrì, M, Kampouroglou, G, Bagaglini, G, Farrarons, S, Greco, A, Walędziak, M, Serrano-Navidad, M, Van Doorn, B, Schiavo, C, Fabbri, N, Wani, I, Mondi, I, Anestiadou, E, Mendes, B, Verdi, D, Dorovinis, P, Cacciaguerra, A, Caldeira, B, Canonico, G, Dardanov, D, D'Ugo, S, Francis, F, Meneghini, S, Pesce, A, Puglisi, S, Bellini, M, Giordano, M, Fleres, F, Campus, F, Cillara, N, Moggia, E, Ciarleglio, F, Calini, G, Gravante, G, De Carlis, R, Altomare, M, Martines, G, Miggino, M, Marano, L, Stocco, A, Porcu, A, Pham, T, Gervasi, M, Pilia, T, Palomba, G, Picchetto, A, Spampinato, M, Tandoi, F, Piccoli, M, Gall, M, Santos, B, Agastra, E, Koëter, T, Samadov, E, Marsanic, P, Serena, D, Uzunoglu, M, Zanus, G, Braholli, E, Giovine, G, Galiffa, G, Lauricella, S, Lukmonov, S, Leventoglu, S, Chooklin, S, Dudi-Venkata, N, Gauci, C, Podda, Mauro, Di Martino, Marcello, Pata, Francesco, Nigri, Giuseppe, Pisanu, Adolfo, Di Saverio, Salomone, Pellino, Gianluca, Ielpo, Benedetto, null, null, Tolla, Ashenafi Negash, Abdelkhalek, Mohamed, Emile, Sameh, Dinagde, Tesfaye Aga, Bouzid, Chafik, Mansour, Ahmed Mohammed Farid Mahmoud, Garzali, Ibrahim Umar, Aregawi, Alazar Berhe, Zaghloul, Tarek M., Kchaou, Ali, Awad, Selmy S., Souadka, Amine, Ted, Tedla Gebretsadik, Saumtally, Mohammad Saad, Ahmed, Bensaad, Bayileyegn, Nebiyou Simegnew, Nunziante, Marco, Shalaby, Mostafa, Debena, Dawit Gebregiorgis, Zena, Alemayehu Shanko, Adewunmi, Olayinka Lukman, Negasa, Tolera A., Bourguiba, Mohamed Aboulkacem, Feituri, Nura, Kebede, Kirubel Abebe, Elfeki, Hossam, Anas, Abdelhmed, Awad, Ahmed K., Ermias, Nebiyou, Hailemariam, Dagnachew H., Bejiga, Gosa Hundie, Imana, Ruhama Yoseph, Taffese, Abebe, Feleke, Tsega Terefe, Elghadban, Hosam Mohamed, Debela, Bizuneh Sime, Shiferaw, Desta, Tadesse, Robel, Chukwu, Isaac Sunday, Mohammed, Abdullahi Ibrahim, Hassen, Khalid Arebo, Obiagwu, Ndubuisi K., Tense, Tadesse H., Taeme, Mulugeta, Biniam, Ewnte, Tesfay, Goytom Knfe, Tegegn, Ayenachew Getachew, Teddy, Tewodros Abule Bilata, Bekana, Bekana L., Nidaw, Melkamu Kibret, Ali, Mahmoud Ibrahim, Gonfa, Kebebe Bekele, Kiros, Samuel, Belay, Tatek, Yallew, Gebeyaw Mengist, Wassie, Chekol, Ayalew, Alem Mekete, Asfaw, Fitsum Terefe, Aimal, Aimal Khan, Casas, Maria Agustina, Madrid, Fausto A., Diaz-Elizondo, Jose Antonio, Merlo, Ignacio Guillermo, De Campos, Tercio, Schlottmann, Francisco, Gomes, Carlos Augusto, Hernández, Edgard Efrén Lozada, Moncada-Ortega, Augusto, Ramos-De la Medina, Antonio, Vanerio, Patricio, Morales, Emilio J., Stringfield, Sarah Beth, Gallardo, Cristian, Fonseca, Vinicius Cordeiro, Muriel, Maria Emilia, Cantarino, Frederico, Fichera, Alessandro, Rodriguez, Agustin E., Salinas, Roberto Paúl Andrade, Crosbie, Gonzalo Gabriel, Menegozzo, Carlos Augusto Metidieri, Avellaneda, Nicolas, Briones, Cristhian Gonzalo Aspiazu, Varela, Cristopher, Lichliter, Warren E., Varela, Cristopher L., Koppel, Darren, Lenz, Jorge Godoy, Pascual, Franco, Sibaja-Matamoros, Dauber A., Johnson, Benjamin E., Mercado, Octavio Avila, Tita, Agustín, Mukherjee, Indraneil, Lorenzo, Irving, Rueda, Erick, Rico, Douglas, Terwes, Natasha Loria, Visag-Castillo, Victor, Escalante, Karol S., Salvador, Alan Francisco Alfaro, Pio, Luca, Rodas, Edgar B., Aguilar, Juan Carlos Cardozo, Neri, Ignacio, Barzola, Ernesto J., Barba, Leonardo A., Zuchini, Andrés Mendoza, Acevedo, Ana Karen Radilla, Gachabayov, Mahir, Gonsaga, Ricardo Alessandro Teixeira, Bonilla, Fernando, Knickerbocker, Chase Barrett, Tsouknidas, Ioannis, Salamea, Juan C., Travers, Lawrence Albert Salter, Nari, Gustavo Adrian, Pachajoa, Diana Alejandra Pantoja, Valadez, Michel Hernandez, Hale, Lyman Lansing, Perez, Guillermo, Choudhry, Asad, Foreman, Michaael L., Brito, Ismael, Ciro, Mauricio Pedraza, Newton, Carla Joyce, Souza, Hamilton Petry, Davis, Daniel G., Ferreira, Rodrigo Vaz, Keller, Deborah S., Miguel, Gustavo Machain, Singh-Ranger, Gurpreet, Linares, Neiling Massiel Oviedo, Singares, Eduardo Smith, Valdivieso, Xavier HGarcía, Teran, Alfonso Ivan Sanchez, Vargas, Luis Felipe Cabrera, Valinoti, Agustín, Milne, David M., Fleming, Andrew Martin, Quiroga-Garza, Alejandro, Espino, Eduardo Morales, Bedros, Nicole Mary, Funk, Geoffrey A., Neves, Fernanda V. S., Supit, Tommy, Baba, Arshad Ahmed, Chalkoo, Mushtaq A., Kucuk, Gultekin Ozan, Sarmiento, Ray Inocencio, Galeev, Shamil I., Korkoman, Mohammed J., Yang, Wah, Medappil, Noushif, Athar, Rahmatullah, Subramaniam, Ravichandran, Chia, Chi Fung, Alhazmi, Ahmad, Halder, Subhadip, Rusli, Siti Mayuha, Rashid, Arshad, Gülcü, Barış, Nagarajan, Prasanth, Rida, Khaled, Jamiri, Al-Radjid, Batıkan, Oğuzkağan, Khan, Huma Ahmed, Mitul, Ashrarur Rahman, Efetov, Sergey, Junior, Marcelo A. F. Ribeiro, Gulcu, Baris, Farooqui, Marryam Riaz, Mulpuri, Venu Bhargava, Bagaria, Dinesh, Yusoff, Ahmad Ramzi, Wani, Rauf, Younis, Muhammad Umar, Khobragade, Krunal H., Marwat, Muhammad Ibrahim, Bains, Lovenish, Kobe, Yoshiro, Koh, Peng Soon, Tantravahi, Umasankar, Mohamad Mohamad, Ikhwan Sani, Abu-Arish, Hamdoon, Yildirim, Ali Cihat, Ibrahim, Aini Fahriza, Tan, Jih Huei, Siagian, Dumaria Ketty, Bhattacharya, Neela, Chiu, Jennifer H. F., Paramasvaran, Ganendra, Voon, Kelvin, Göktepe, Berk, Lee, Lee Yeong Sing, Gupta, Amit, Rasheed, Faaiz, Al-Shehari, Mohammed, Syed, Syed Muhammad Ali, Bhat, Pawan Singh, Erdoğan, Emre, Roat, Rajesh, Nacion, Aeris Jane D., Saraiya, Swapnil Mukesh, Afolabi, Akinwale Ibrahim, Chai, Feng Yih, Ghannam, Wagih, Bhattacharya, Kaushik, NL, Harish, Aloun, Ali, Bhatti, Hamza Waqar, Koneti, Akshadhar J., Klib, Mohamad, Qureshi, Ahmad Uzair, Syn, Nicholas L., Wani, Ajaz, Saeidi, Sara, Zeb, Muhammad, Bandaru, Kalyan Vijay Kumar, Menna, Maria Paola, Morales-Conde, Salvador, Gessa, Emanuela, Sánchez-Cabús, Santiago, Spartalis, Eleftherios, Antropoli, Carmine, Manigrasso, Michele, Sica, Giuseppe S., Ercolani, Giorgio, Chitul, Andrei, Bacchiocchi, Giulia, Azevedo, José, Karamarkovic, Aleksandar, Bonavina, Luigi, Piozzi, Guglielmo N., Migueláñez, Isabel Pascual, Merlini, David, Major, Piotr, Grimaldi, Luciano, Calu, Valentin, Curro, Giuseppe, Cotsoglou, Christian, Baldini, Edoardo, Delis, Spiros, Kovacevic, Bojan, Masetti, Michele, Selvaggi, Francesco, Scabini, Stefano, Reiti, Andrian, Zullo, Alessia, Giuliani, Antonio, Alesina, Pier Francesco, Massey, Lisa H., Slesser, Alistair A. P., Neary, Peter M., Sahnan, Kapil, Tan, Jessica J., Colucci, Gianluca, Brady, Richard R. W., Mihailescu, Andrei, Adamina, Michel, Gerogiannis, Ioannis, van Ramshorst, Gabrielle, Paradiso, Giulia, Poto, Gianmario Edoardo, Massaro, Daniele, Nazir, Fozia, Stubbs, Benjamin M., Tasselli, Francesco Menegon, Muñoz-Cruzado, Virginia Durán, Sabia, Domenico, Vannelli, Alberto, Marsella, Valentina Enrica, Tomada, Elisa Paoluzzi, Giambusso, Mauro, Davies, Justin, Uzzau, Alessandro, Balla, Andrea, Scaringi, Stefano, Lancellotti, Francesco, Douka, Eleftheria, Argenio, Giulio, Cassese, Gianluca, Ammendola, Michele, Morelli, Luca, Francone, Elisa, Bala, Miklosh, Thambi, Prem, Iacobone, Maurizio, Campisi, Andrea, Tejedor, Patricia, Spoletini, Gabriele, Mascherini, Matteo, Belia, Francesco, Idiz, Ufuk Oguz, Colak, Elif, Peters, Paul Adewunmi, Ros, Emilio Peña, Aytac, Erman, Vilallonga, Ramon, Serrablo, Alejandro, Muttillo, Edoardo Maria, Di Franco, Gregorio, Vanni, Gianluca, Isik, Arda, Sbacco, Valentina, Tropeano, Francesca Paola, Porcellini, Iride, Butler, Rebecca Jayne, Fernandez, Carmen Cagigas, Papadopoulos, Aristeidis, Salvans, Silvia, Khan, Jan Sher, Bellver, Pedro Palazón, Mc Farlane, Sebastian Jeri, Apostolou, Konstantinos, Tur-Martinez, Jaume, Castellano, Javier Rivera, Santoliquido, Matteo, Tallon-Aguilar, Luis, Celentano, Valerio, Aliyev, Vusal, al-Najami, Issam, Grama, Florin A., Masior, Łukasz, Ciesielski, Wojciech J., Luberto, Antonio, Sparavigna, Marco, Klimczak, Tomasz Jerzy, Negoi, Ionut, Serradilla-Martín, Mario, Marinis, Athanasios, Cammarat, Roberto, Bellido-luque, Juan, Manzo, Carlo Alberto, Milana, Flavio, Luglio, Gaetano, Zarnescu, Narcis Octavian, Martínez, Isidro, Olmi, Stefano, Costea, Radu V., Cerdán-Santacruz, Carlos, Gica, Nicolae, Rompianesi, Gianluca, Gallo, Gaetano, Ridolfi, Cristina, Sahid, Saidah, CC, Tommaso, López-Soler, Guillermo, Díaz, Carlos JGómez, Mccawley, Niamh, Luzzi, Andrea Pierre, Abelló, David, Bonito, Alba Correa, Ntomi, Vasileia, Gourgiotis, Stavros, Pazos, Natalia Suárez, Toscano, Marta Jiménez, Zafra, David Ambrona, Beisani, Marc, Oliva, Alba, Guler, Mert, Gómez, Marta Jiménez, Oddis, Lidia, Montcusí, Blanca, Delgado, Ander Timoteo, Lasarte, Mateusz PJęckowski Aingeru Sarriuga, Antonacci, Nicola, Sartori, Alberto, Taylor, John Vincent, de Santos Iglesias, Francisco Juan, Mastronardi, Manuela, Gunay, Emre, Yiu, Andrew, Cano-Valderrama, Oscar, Costantini, Giulia, Digne-Malcolm, Holly Jane, Petropoulou, Thalia, Horesh, Nir, Kelly, Michael E., Ahmed, Nauman, Wyroslak-Najs, Justyna, Naik, Prashant, Vigorita, Vincenzo, Michael, Michael, Castro, Ernest, Paspala, Anna, D'Ambrosio, Marco, Pangeni, Anang, Dziakova, Jana, Terés, Lara Blanco, Lorente-Poch, Leyre, Di Carlo, Isidoro, Spartalis, Michael, Moro-Valdezate, David, Davey, Matthew G., Turrado-Rodriguez, Victor, Tryliskyy, Yegor, Calussi, Marco, Farré, Silvia Pérez, Labat, Miriam Cazador, Marafante, Chiara, Takkenberg, Marijn, Brookes, Charlotte Elisabeth, Soares, Antonio S., Gialamas, Eleftherios, Caputo, Damiano, Corrons, Laia Codina, Capitano, Sante, Charalabopoulos, Alexandros, Don, Cristine Brooke Pathirannehalage, Marrano, Enrico, Giuffrida, Maria Carmela, Tomasicchio, Giovanni, Bellato, Vittoria, Stijns, Jasper, Creavin, Ben, Schizas, Dimitrios, Blanco-Antona, Francisco, Kykalos, Stylianos, Tartaglia, Nicola, Pelegrina, Amalia, Barranquero, Alberto G., Schena, Carlo Alberto, Cremona, Simone, Baili, Efstratia, Cianci, Pasquale, Di Bella, Annamaria, Forcignanò, Edoardo, Fabbrizio, Tiziana, Salvetti, Francesco, Inama, Marco, Campagnaro, Tommaso, Deerenberg, Eva B., Reccia, Isabella, Rocca, Aldo, Fazio, Federico, Tampakis, Athanasios, Tepelenis, Kostas, Di Meo, Giovanna, Konstantoudakis, Georgios, Manatakis, Dimitrios K., Mineccia, Michela, Delvecchio, Antonella, Faro, Carmelo Lo, Rosso, Edoardo, Bandyopadhyay, Samik K., Queffurus, Michael, Marin, Jacopo Nicolò, Corvasce, Arianna, Chillarge, Gauri, Mohammed, Mohammed Mustafa, Reid, Rebecca, Gherardi, Dario, Naeem, Awais, Pandanaboyana, Sanjay, Tayeh, Salim, Chevallay, Mickael, Sergeant, Gregory, Cuccomarino, Salvatore, Salimian, Nick, Kapsampelis, Panagiotis, Ferretti, Carlotta, Glasbey, James, Harvitkar, Rafique Umer, Iqbal, Muhammad Rafaih, de Oliveira, Gabriel Paiva, Pérez-Bertólez, Sonia, Bergna, Alessandro, Brisinda, Giuseppe, Rottoli, Matteo, Roscio, Francesco, Pedrazzani, Corrado, Meyer, Jeremy, Marino, Marco V., Brasset, Camille, Daniel, Clerc, Devriendt, Stefanie, Soldini, Gabriele, Pennisi, Damiano, Richards, Chris B., Fiore, Felicia, Bocchino, Antonio, Au, Stephanie, Hernandez-Garcia, Miguel, Frontali, Alice, Grossi, Ugo, Lolis, Evangelos, Miotto, Marco, Di Filippo, Giacomo, Seretis, Charalampos, Barberis, Andrea, De Luca, Raffaele, Levi Sandri, Giovanni Battista, Reitano, Elisa, Mattioli, Marco, Sciaudone, Guido, Fuschillo, Giacomo, Schiltz, Boris, Low, Juin, Bointas, Georgios, Cozza, Valerio, Delaune, Vaihere, Vescio, Francesca, Curcio, Silvia, Sevik, Husnu, Santocchi, Pietro, Stecca, Tommaso, Balaphas, Alexandre, Chessa, Antonella, Leo, Cosimo Alex, di Mola, Fabio F., Tarallo, Mariarita, Martini, Francesco, Lisi, Giorgio, Khan, Mansoor, Nicolazzi, Marco, Pinotti, Enrico, Morini, Andrea, Esposito, Giuseppe, Buonomo, Oreste Claudio, Corallino, Diletta, Demir, Anıl, Roesel, Raffaello, De Lucia, Chiara, Maruccia, Michele, Tekin, Oguzhan, Pavone, Giovanna, Gupta, Ashish, Pradelle, Irene, Chrysikos, Michael, Farrukh, Maira, Baiocchi, Gian Luca, Piras, Carla, Abellán, Antonio Melero, Olivieri, Laura, Materazzo, Marco, Carbone, Ludovico, Dulskas, Audrius, Mulita, Francesk, Corronca, Federico, Cappuccio, Micaela, Smerieri, Elia, Sotiropoulu, Maria, Violante, Tommaso, Moletta, Lucia, Rutegård, Martin, Brillantino, Antonio, Landaluce-Olavarria, Aitor, Ossola, Paolo, Bono, Dario, Rosés, Helena Salvador, Perez-Sanchez, Luis E., Sabbatini, Sonia, Scotti, Mauro Alessandro, Cammarata, Roberto, Ibáñez, Noelia, Marano, Alessandra, Palmisano, Silvia, Cascales-Sanchez, Pedro, Mosca, Vinicio, Ballester, Cristina, Iordache-Petrescu, Madalina Ionela, Pozza, Gioia, Akay, Omer, Bollino, Ruggero, Toti, Johannes M. A., Mascianà, Gianluca, Pach, Radoslaw, Sensi, Bruno, Natalia, Savvala N., Coppola, Alessandro, Altinel, Yuksel, Brucchi, Francesco, Guitart, Marc Pérez, Salido, Andrea Jiménez, Tamini, Nicolò, Garoufalia, Zoe, Mifsut, Patricia, Wilkins, Alex, Navarro-Sánchez, Antonio, Cestaro, Giovanni, Conti, Luigi, Carvas, João M. B., Gazia, Carlo, Alonso, Patricia, Spiezio, Giovanni, Maggi, Giulia, Juloski, Jovan, Braccio, Bartolomeo, Pañella, Clara, Freixa, Celia Caula, Petrakis, Georgios, Folliero, Cristina, De Andrés-Asenjo, Beatriz, Iodice, Alessandra, Jansson, Hannes, González, Tomas Elosua, Ortega, Irene, Castro, Maria J., Fernicola, Agostino, Aparicio, Antonio Carlos Maya, Ortega, Nuria, Chouliaras, Christos, Tura, Marina Vila, Sidiropoulou, Zacharoula, Gonzalez, Ana, Augustin, Goran, Segura-Sampedro, Juan J., Cuk, Vladica, Piccolo, Gaetano, Ingallinella, Sara, Ortenzi, Monica, Uggeri, Fabio, Carrabetta, Salvatore, Tolonen, Matti, Formisano, Giampaolo, Manfredelli, Simone, Perra, Teresa, Esposito, Francesco, Perrone, Gennaro, Zacharis, Georgios, Menéndez, Jaime Iturbe, Bottcher, Sofia Maria Jaume, Ioannidis, Orestis, Borges, Nuno, Sousa, Xavier, Colombari, Renan C., Tellez, Clara, Capolupo, Gabriella Teresa, Giuliani, Giuseppe, Mastella, Federica, González, Lluis García, Merlini, Ilenia, Ghignone, Federico, de Sa, Tiago Correia, Mangana, Orsalia, Rodriguez-Lopez, Mario, Alvarez-Gallego, Mario, Chowdhury, Ashim, Di Lascio, Pierpaolo, Carneros, Virginia Jiménez, Angrisani, Marco, Conte, Luigi E., Montiel, Carmen Galiana, Ascari, Francesca, Dajti, Irida, Lapolla, Pierfrancesco, Sperotto, Beatrice, Mazzarella, Gennaro, Capuano, Marianna, Lopez, Maria Martinez, Ferrario, Luca, Bulte, Joris P., López, María Martínez, Guerci, Claudio, Marra, Angelo Alessandro, Belkacem, Acidi, Pérez, Raquel Escalera, Panyko, Arpád, Dimitrov, Evgeni, Luque, Eduardo J., Manrique, Mario Montes, Paranyak, Mykola, Kaur, Mandeep, Barugola, Giuliano, Farazi-Chongouki, Christos, Estaire-Gómez, Mercedes, del Olmo, Juan Carlos Martín, Nardo, Bruno, Mutlu, Arda Ulaş, Rubio, Ainhoa Valle, Merlini, David A., Marchegiani, Francesco, Cereda, Marco Angelo, Vinci, Danilo, Komaei, Iman, Petrucciani, Niccolo, Seyfried, Steffen, Krsicka, Petr, Medas, Fabio, Lesko, Dusan, Murzi, Valentina, Siragusa, Leandro, Guerrero, María Alejandra, Iranzo, Marina Alarcón, Cestino, Luca, Pasculli, Alessandro, Smerieri, Nazareno, Benzoni, Ilaria, Festa, Federico, Jordão, Daniel Filipe Martins, Licardie, Eugenio, Nicolaescu, Diana C., Balassone, Valerio, La Vaccara, Vincenzo, Romano, Fabrizio, Adamovich, Dmitry Mikhailovich, Papatheodorou, Panayiotis, Maroni, Norvana, Colás-Ruiz, Enrique, Melberga, Liene, Chimenti, Federica, Ferrari, Davide, Arcudi, Claudio, Police, Andrea, De Simone, Belinda, Sánchez-Guillén, Luis, Parreño-Manchado, Felipe Carlos, Rachadell, Juan José, Coletta, Diego, Saroglu, Azize, Pattacini, Gianmaria Casoni, Antonelli, Amedeo, Anania, Marco, Litta, Francesco, Lafranceschina, Stefano, Bottari, Andrea, Pavlovic, Mladen, Rojas-Bonet, Noel, Tampaki, Ekaterini Christina, Kosir, Jurij A., Anelli, Ferdinando M., de las Casas, Sara Gortázar, Kucukarslan, Rabia, Pierobon, Elisa Sefora, Milanesi, Maria, Drogouti, Maria, Sotiropoulou, Maria, Di Marco, Federica, Bannone, Elisa, Sliwinski, Svenja Christin, Yildiz, Ishak, Pellicciaro, Marco, Celotti, Andrea, Malerba, Michele, Marino, Fabio, Bourmpouteli, Eirini, Bianco, Giuseppe, Charitaki, Evgenia, Pascale, Marco Maria, Ioannidis, Argyrios, Maraska, Fatlum, Petagna, Lorenzo, Turri, Giulia, Vailas, Michail, Romanzi, Andrea, Pouwels, Sjaak, Rosa, Fausto, Clocchiatti, Lucrezia, Andreuccetti, Jacopo, Machairas, Nikolaos, Frountzas, Maximos, Lasithiotakis, Konstantinos, Barone, Mirko, Christodoulou, Prokopis, Potkonjak, Dario, Aiolfi, Alberto, de Vries, Hilbert S., Napetti, Sara, Castaldi, Antonio, Botelho, Pedro, Marziali, Irene, Uccelli, Matteo, Pisano, Michele, Veroux, Massimiliano, Locci, Eleonora, Romano, Angela, Cero, Mariagiulia Dal, Cicerchia, Pierfranco Maria, Baldi, Caterina, Russo, Iris Shari, Tenconi, Silvia Maria, Saliu, Fatmir, Bondurri, Andrea, Cardinali, Luca, Laracca, Giovanni Guglielmo, Martín-Pérez, Beatriz, Felsenreich, Daniel M., Cunha, Miguel, Zerbo, Domenico, Clementi, Marco, Delogu, Daniele, Iossa, Angelo, Bavikatte, Akshay Prasannakumar, Saracoglu, Can, Pecorelli, Nicolò, Tufo, Andrea, Biloslavo, Alan, Lianos, Georgios D., Carannante, Filippo, Costanzo, Antonio, Montuori, Mauro, Cigognini, Maria, Silvestro, Roberto, Atici, Semra Demirli, Milito, Pamela, Ferronetti, Antonio, Güngör, Mert, Di Venere, Beatrice, Puccioni, Caterina, De Nobili, Giovanni, Selvaggi, Lucio, Farolfi, Tommaso, Aeschbacher, Pauline, Olivier, James B., Frazzetta, Giuseppe, Andriola, Valeria, Giordano, Alessio, De Luca, Alessandro, Ferrara, Francesco, Casagranda, Biagio, Sammartano, Fabrizio, Russo, Alfio Alessandro, Rossi, Stefano, Pacilli, Mario, Synekidou, Eirini, Tutino, Roberta, Ceresoli, Marco, De Rosa, Michele, Di Santo Albini, Andrea G., Vincenzi, Paolo, Vellei, Samantha, Benzoni, Enrico, Murillo, Gabriela Aracelly Arroyo, Izzo, Giuliano, Scotto, Bruno, Caruso, Riccardo, Colombo, Francesco, D'Acapito, Fabrizio, Lostoridis, Eftychios, Saladino, Edoardo, Poillucci, Gaetano, Moeckli, Beat, Manto, Ottavia, Kara, Yasin, Tatar, Cihad, Cioffi, Stefano Piero Bernardo, Mambrilla, Sara, Bianchi, Valentina, Scopelliti, Michele, Agresta, Ferdinando, Nava, Andrea Kazemi, Franchi, Eloisa, Fransvea, Pietro, Prieto, Mikel, Picardi, Biagio, Rizzuto, Antonia, Panaccio, Paolo, Gussago, Stefano, Marra, Ester, Addeo, Pietro, Fernández Fernández, June, Gulmez, Mehmet, Pisaniello, Donatella, Cannavo, Maurizio, López-López, Victor, Avella, Pasquale, Peloso, Andrea, Bellanova, Giovanni, Candilio, Giuseppe, Perotti, Bruno, Granata, Roberta, Florio, Gaetano, Ioia, Giovanna, Iannone, Immacolata, Ammerata, Giorgio, Zambon, Martina, Romano, Francesco Maria, Del Monte, Simone Rossi, Sasia, Diego, Fortuna, Laura, Giuffrida, Mario, Litvin, Andrey, Cannistra, Marco, De Padua, Cristina, Sánchez, Tatiana Gómez, Paniagua-Garcia-Señorans, Marta, Guevara, Jenny, Perfecto, Arkaitz, Alconchel, Felipe, Campanelli, Michela, Keci, Laura, Cricrì, Michele, Kampouroglou, Georgios, Bagaglini, Giulia, Farrarons, Sara Sentí, Greco, Antonio, Walędziak, Maciej, Carvas, João M., Serrano-Navidad, Monica, Van Doorn, Berend, Schiavo, Ciro, Fabbri, Nicolò, Wani, Ishfaq Ahmad, Mondi, Isabella, Anestiadou, Elissavet, Mendes, Beatriz ISilva, Verdi, Daunia, Dorovinis, Panagiotis, Cacciaguerra, Andrea Benedetti, Caldeira, Beatriz, Canonico, Giuseppe, Dardanov, Dragomir, D'Ugo, Stefano, Francis, Fayez Maged, Meneghini, Simona, Pesce, Antonio, Puglisi, Silvana Bernadetta, Bellini, Maria Irene, Pisano, Marcello, Giordano, Marco, Fleres, Francesco, Campus, Federica, Cillara, Nicola, Moggia, Elisabetta, Ciarleglio, Francesco A., Calini, Giacomo, Gravante, Gianpiero, De Carlis, Riccardo, Altomare, Michele, Martines, Gennaro, Miggino, Marco, Marano, Luigi, Stocco, Alberto, Porcu, Alberto, Pham, Thuy Vy, Gervasi, Maria Clelia, Pilia, Tiziana, Palomba, Giuseppe, Picchetto, Andrea, Spampinato, Marcello Giuseppe, Tandoi, Francesco, Piccoli, Micaela, Gall, Malina ECaraiman, Santos, Bárbara Ribeiro, Agastra, Ervis, Koëter, Tijmen, Samadov, Elgun, Marsanic, Patrizia, Serena, De Fatico Gilda, Uzunoglu, Mustafa Yener, Zanus, Giacomo, Braholli, Eriol, Giovine, Gennaro, Galiffa, Giampaolo, Lauricella, Sara, Lukmonov, Saidrakhim, Leventoglu, Sezai, Chooklin, Serge, Dudi-Venkata, Nagendra N., and Gauci, Chahaya M.
Abstract: The workload of general surgeons is multifaceted, encompassing not only surgical procedures but also a myriad of other responsibilities. From April to May 2023, we conducted a CHERRIES-compliant internet-based survey analyzing clinical practice, academic engagement, and post-on-call rest. The questionnaire featured six sections with 35 questions. Statistical analysis used Chi-square tests, ANOVA, and logistic regression (SPSS (R) v. 28). The survey received a total of 1.046 responses (65.4%). Over 78.0% of responders came from Europe, 65.1% came from a general surgery unit; 92.8% of European and 87.5% of North American respondents were involved in research, compared to 71.7% in Africa. Europe led in publishing research studies (6.6 +/- 8.6 yearly). Teaching involvement was high in North America (100%) and Africa (91.7%). Surgeons reported an average of 6.7 +/- 4.9 on-call shifts per month, with European and North American surgeons experiencing 6.5 +/- 4.9 and 7.8 +/- 4.1 on-calls monthly, respectively. African surgeons had the highest on-call frequency (8.7 +/- 6.1). Post-on-call, only 35.1% of respondents received a day off. Europeans were most likely (40%) to have a day off, while African surgeons were least likely (6.7%). On the adjusted multivariable analysis HDI (Human Development Index) (aOR 1.993) hospital capacity > 400 beds (aOR 2.423), working in a specialty surgery unit (aOR 2.087), and making the on-call in-house (aOR 5.446), significantly predicted the likelihood of having a day off after an on-call shift. Our study revealed critical insights into the disparities in workload, access to research, and professional opportunities for surgeons across different continents, underscored by the HDI.
Published: 2024

49. Stability of adversarial Markov chains, with an application to adaptive MCMC algorithms

Author: Craiu, Radu V., Gray, Lawrence, Łatuszyński, Krzysztof, Madras, Neal, Roberts, Gareth O., and Rosenthal, Jeffrey S.
Subjects: Mathematics - Probability
Abstract: We consider whether ergodic Markov chains with bounded step size remain bounded in probability when their transitions are modified by an adversary on a bounded subset. We provide counterexamples to show that the answer is no in general, and prove theorems to show that the answer is yes under various additional assumptions. We then use our results to prove convergence of various adaptive Markov chain Monte Carlo algorithms., Comment: Published at http://dx.doi.org/10.1214/14-AAP1083 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Published: 2014
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50. Teaching Neurobiology in Psychiatry

Author: Sabbag, Samir A., Alhajji, Lujain, Saveanu, Radu V., Stahl, Stephen M., Nemeroff, Charles B., Sartorius, Norman, Series Editor, Kua, Ee Heok, Series Editor, Hermans, Marc H.M., editor, Chay-Hoon, Tan, editor, and Pi, Edmond, editor
Published: 2019
Full Text: View/download PDF

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