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65,149 results on '"Hebert AS"'

304. Circulating Stress Hormones, Brain Health, and Cognition in Healthy Older Adults: Cross-Sectional Findings and Sex Differences in Age-Well

Author

André, Claire, Champetier, Pierre, Chauveau, Léa, Collette, Fabienne, Dautricourt, Sophie, de Flores, Robin, De La Sayette, Vincent, Demnitz-King, Harriet, Fauvel, Séverine, Felisatti, Francesca, Ferment, Victor, Ferrand-Devouge, Eglantine, Gonneaud, Julie, Garnier-Crussard, Antoine, Hamel, Anaïs, Haudry, Sacha, Krolak-Salmon, Pierre, Kuhn, Elizabeth, Lefranc, Valérie, Lutz, Antoine, Ourry, Valentin, Palix, Cassandre, Quillard, Anne, Rauchs, Géraldine, Salmon, Eric, Touron, Edelweiss, Vuilleumier, Patrik, Whitfield, Tim, Liebscher, Maxie, White, Silke, Hass, Simon, Chocat, Anne, Mezenge, Florence, Landeau, Brigitte, Delarue, Marion, Hébert, Oriane, Turpin, Anne-Laure, Marchant, Natalie L., Chételat, Gaël, Klimecki, Olga, Poisnel, Géraldine, and Wirth, Miranka

Published
2025
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309. Six in one: cryptic species and a new host record for Olixon Cameron (Rhopalosomatidae, Hymenoptera) revealed by DNA barcoding

Author

Allaina L. Armstrong, Jayme E. Sones, Volker Lohrmann, Paul D. N. Hebert, Dan H. Janzen, Winnie Hallwachs, and Jeremy D. Blaschke

Subjects
Zoology, QL1-991
Abstract

Olixon testaceum is a widely distributed species of brachypterous parasitoid wasp (Vespoidea: Rhopalosomatidae) occurring in Meso- and South America, but little is known of its biology. Here, the first known host of O. ? testaceum is identified as the cricket Anaxipha sp. (Grylloidea: Trigonidiidae) through DNA barcoding of six Olixon larvae and their hosts. Barcoding results also indicated substantial genetic diversity within nominal O. testaceum specimens. The number of species and statistical significance of these groups were tested using Maximum Likelihood phylogenies, distance-based cluster analyses, and coalescence models. All analyses revealed at least six distinct lineages, which suggests six or more cryptic species within O. ? testaceum. Combined with what is currently known about Rhopalosoma host use, these results indicate that rhopalosomatids may be generalist rather than specialist parasitoids, and further confirm the benefits of open global collaboration and DNA barcoding in advancing taxonomic knowledge.

Published
2024
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310. Association between Dietary Inflammatory Index (DII) and the Risk of Polycystic Ovary Syndrome: A Case-Control Study

Author

Esmaeil Yousefi Rad, Parivash Kavei, Soheila Akbari, Farhad Vahid, James R Hebert, Ebrahim Falahi, Mehdi Birjandi, and Somayeh Saboori

Subjects
insulin resistance, polycystic ovary syndrome, metabolic diseases, dietary inflammatory index., Agriculture, Nutrition. Foods and food supply, TX341-641
Abstract

Background: Polycystic ovary syndrome (PCOS) is an inflammation-related condition and a common metabolic disorder in women at fertility ages. The Dietary Inflammatory Index (DII) is a validated nutritional tool for estimating the inflammatory potential of the diet. It is assumed that a high DII score (indicating a predominantly inflammatory diet) has an association with higher odds of PCOS. The current study aimed to investigate the association between DII and PCOS risk in women. Methods: This case-control study was conducted in 2019-2020 on 120 newly-diagnosed PCOS cases and 120 healthy controls aged 18-45 years in Khorramabad, Iran. DII was estimated based on a validated 168-item Food Frequency Questionnaire (FFQ). Results: The mean±SD of DII in PCOS patients was 0.40±2.09, while it was 0.45±1.92 in the control group (P

Published
2024

311. Pilot Study of SATELLITE Education on Nurses’ Knowledge and Confidence toward Assessing and Caring for Female Victims of Sexual Violence

Author

Ratchneewan Ross, Francine Hebert Sheppard, Monir M. Almotairy, Joelle Hirst, and Marjorie Jenkins

Subjects
sexual violence, screening, care guide, feasibility, acceptability, efficacy, Nursing, RT1-120
Abstract

Sexual violence (SV) can deeply impact victims’ physical and psychosocial well-being. Yet many healthcare providers, including registered nurses (RNs), hesitate to screen patients due to a lack of confidence and knowledge. The SATELLITE Sexual Violence Assessment and Care Guide was developed to address this gap; however, the guide’s educational effectiveness remained untested. This pilot study aimed to assess the feasibility, acceptability, and efficacy of an education program based on the SATELLITE guide among RNs in clinical settings (n = 8), using a pre- and post-test design. Results indicated that the education was not only feasible and acceptable, but also demonstrated the effects as desired with significant increases in RNs’ knowledge and confidence in SV screening and care. The program’s assessment tool was reliable, and participant recruitment was feasible. Based on these findings, it is recommended that the SATELLITE education program be further tested with a larger RN sample and extended to other healthcare providers. Additionally, exploring SATELLITE’s use in different regions, cultural contexts, and healthcare settings would enhance understanding of the program’s broader applicability and effectiveness.

Published
2024
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312. Plantas medicinais e cuidado em saúde na comunidade

Author

Nayara Rudeck Oliveira Sthel Cock, Amanda Firme Carletto, Gabriella Barreto Soares, and Fábio Hebert da Silva

Subjects
plantas medicinais, atenção primária à saúde, educação para a saúde comunitária, participação da comunidade, Social Sciences, Labor in politics. Political activity of the working class, HD8031
Abstract

O uso de plantas medicinais convoca perspectivas amplas de saúde das quais emergem práticas de cuidado singulares. Ao afirmar tais práticas como dispositivos coletivos de análise, assevera a dimensão pública do Sistema Único de Saúde (SUS). Nesta proposta, parte-se da necessidade de investir na comunicação entre gestores, trabalhadores e usuários, para assim, abrir diálogo sobre o uso de plantas medicinais na comunidade de Patrimônio da Penha/ES. Relata-se a experiência de uma roda de conversa que produziu questionamentos sobre a gestão dos processos de trabalho. A educação popular e o método da roda foram ferramentas utilizadas para conduzir a troca de saberes. As plantas medicinais serviram como catalisadoras para perspectivas mais amplas de saúde, revelando diferentes relações com o corpo, o bem-estar e a vida. A experiência da roda de conversa demonstrou como a abordagem colaborativa e inclusiva pode redefinir as dinâmicas de cuidado na Atenção Primária à Saúde (APS), aproximando profissionais e comunidade em um espaço de aprendizado mútuo. A iniciativa destaca a relevância de criar espaços de diálogo que integrem diferentes perspectivas e saberes para uma abordagem mais ampla da saúde, estimulando a transformação dos serviços e a formação de redes no SUS.

Published
2024
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313. When Infections Are Found: A Qualitative Study Characterizing Best Management Practices for Central Line-Associated Bloodstream Infection and Catheter-Associated Urinary Tract Infection Performance Monitoring and Feedback

Author

Alice A. Gaughan, Sarah R. MacEwan, Megan E. Gregory, Jennifer L. Eramo, Laura J. Rush, Courtney L. Hebert, and Ann Scheck McAlearney

Subjects
infection prevention, healthcare-associated infections, best practices, management practices, qualitative methods, HAI performance monitoring and feedback, Nursing, RT1-120
Abstract

Healthcare-associated infections (HAIs) remain a significant patient safety problem that can lead to illness and death, despite the implementation of clinical bundles to prevent HAIs. Management practices can support HAI prevention, but their role in HAI performance monitoring and feedback is not well understood. To address this knowledge gap, we previously conducted semi-structured interviews with staff at 18 hospitals to examine the role of management practices around the prevention of central line-associated bloodstream infections (CLABSIs) and catheter-associated urinary tract infections (CAUTIs). Interview transcripts were analyzed to identify themes related to HAI performance monitoring and feedback. The current analysis focuses on 10 higher-performing hospitals that were successful in preventing CLABSIs and CAUTIs. These institutions had robust practices including timely event analysis, leadership engagement, and multidisciplinary participation in HAI reviews. Across these sites, we found common goals including investigating HAIs without blame and identifying opportunities for improvement. Management practices such as timely analysis of HAIs, collaboration between facility leadership and multidisciplinary team members, and a focus on identifying the failure of a procedure or protocol, rather than the failure of staff members, are all approaches that can support infection prevention efforts. These management practices may be especially important as hospitals attempt to address increases in CLABSI and CAUTI rates that may have occurred during the coronavirus pandemic.

Published
2024
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314. Risk factors for placenta accreta spectrum disorders in women with any prior cesarean and a placenta previa or low lying: a prospective population-based study

Author

Gilles Kayem, Aurélien Seco, Francoise Vendittelli, Catherine Crenn Hebert, Corinne Dupont, Bernard Branger, Cyril Huissoud, Jeanne Fresson, Norbert Winer, Bruno Langer, Patrick Rozenberg, Olivier Morel, Marie Pierre Bonnet, Franck Perrotin, Elie Azria, Lionel Carbillon, Coralie Chiesa, Pierre Raynal, René Charles Rudigoz, Sophie Patrier, Gaël Beucher, Michel Dreyfus, Loïc Sentilhes, and Catherine Deneux-Tharaux

Subjects
Medicine, Science
Abstract

Abstract This study aimed to identify the risk factors for placenta accreta spectrum (PAS) in women who had at least one previous cesarean delivery and a placenta previa or low-lying. The PACCRETA prospective population-based study took place in 12 regional perinatal networks from 2013 through 2015. All women with one or more prior cesareans and a placenta previa or low lying were included. Placenta accreta spectrum (PAS) was diagnosed at delivery according to standardized clinical and histological criteria. Of the 520,114 deliveries, 396 fulfilled inclusion criteria; 108 were classified with PAS at delivery. Combining the number of prior cesareans and the placental location yielded a rate ranging from 5% for one prior cesarean combined with a posterior low-lying placenta to 63% for three or more prior cesareans combined with placenta previa. The factors independently associated with PAS disorders were BMI ≥ 30, previous uterine surgery, previous postpartum hemorrhage, a higher number of prior cesareans, and a placenta previa. Finally, in this high-risk population, the rate of PAS disorders varies greatly, not only with the number of prior cesareans but also with the exact placental location and some of the women's individual characteristics. Risk stratification is thus possible in this population.

Published
2024
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315. Expanding the clinical spectrum of biglycan-related Meester-Loeys syndrome

Author

Josephina A. N. Meester, Anne Hebert, Maaike Bastiaansen, Laura Rabaut, Jarl Bastianen, Nele Boeckx, Kathryn Ashcroft, Paldeep S. Atwal, Antoine Benichou, Clarisse Billon, Jan D. Blankensteijn, Paul Brennan, Stephanie A. Bucks, Ian M. Campbell, Solène Conrad, Stephanie L. Curtis, Majed Dasouki, Carolyn L. Dent, James Eden, Himanshu Goel, Verity Hartill, Arjan C. Houweling, Bertrand Isidor, Nicola Jackson, Pieter Koopman, Anita Korpioja, Minna Kraatari-Tiri, Liina Kuulavainen, Kelvin Lee, Karen J. Low, Alan C. Lu, Morgan L. McManus, Stephen P. Oakley, James Oliver, Nicole M. Organ, Eline Overwater, Nicole Revencu, Alison H. Trainer, Bhavya Trivedi, Claire L. S. Turner, Rebecca Whittington, Andreas Zankl, Dominica Zentner, Lut Van Laer, Aline Verstraeten, and Bart L. Loeys

Subjects
Medicine, Genetics, QH426-470
Abstract

Abstract Pathogenic loss-of-function variants in BGN, an X-linked gene encoding biglycan, are associated with Meester-Loeys syndrome (MRLS), a thoracic aortic aneurysm/dissection syndrome. Since the initial publication of five probands in 2017, we have considerably expanded our MRLS cohort to a total of 18 probands (16 males and 2 females). Segregation analyses identified 36 additional BGN variant-harboring family members (9 males and 27 females). The identified BGN variants were shown to lead to loss-of-function by cDNA and Western Blot analyses of skin fibroblasts or were strongly predicted to lead to loss-of-function based on the nature of the variant. No (likely) pathogenic missense variants without additional (predicted) splice effects were identified. Interestingly, a male proband with a deletion spanning the coding sequence of BGN and the 5’ untranslated region of the downstream gene (ATP2B3) presented with a more severe skeletal phenotype. This may possibly be explained by expressional activation of the downstream ATPase ATP2B3 (normally repressed in skin fibroblasts) driven by the remnant BGN promotor. This study highlights that aneurysms and dissections in MRLS extend beyond the thoracic aorta, affecting the entire arterial tree, and cardiovascular symptoms may coincide with non-specific connective tissue features. Furthermore, the clinical presentation is more severe and penetrant in males compared to females. Extensive analysis at RNA, cDNA, and/or protein level is recommended to prove a loss-of-function effect before determining the pathogenicity of identified BGN missense and non-canonical splice variants. In conclusion, distinct mechanisms may underlie the wide phenotypic spectrum of MRLS patients carrying loss-of-function variants in BGN.

Published
2024
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320. FedFormer: Contextual Federation with Attention in Reinforcement Learning

Author

Hebert, Liam, Golab, Lukasz, Poupart, Pascal, and Cohen, Robin

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Multiagent Systems
Abstract

A core issue in multi-agent federated reinforcement learning is defining how to aggregate insights from multiple agents. This is commonly done by taking the average of each participating agent's model weights into one common model (FedAvg). We instead propose FedFormer, a novel federation strategy that utilizes Transformer Attention to contextually aggregate embeddings from models originating from different learner agents. In so doing, we attentively weigh the contributions of other agents with respect to the current agent's environment and learned relationships, thus providing a more effective and efficient federation. We evaluate our methods on the Meta-World environment and find that our approach yields significant improvements over FedAvg and non-federated Soft Actor-Critic single-agent methods. Our results compared to Soft Actor-Critic show that FedFormer achieves higher episodic return while still abiding by the privacy constraints of federated learning. Finally, we also demonstrate improvements in effectiveness with increased agent pools across all methods in certain tasks. This is contrasted by FedAvg, which fails to make noticeable improvements when scaled., Comment: Our source code can be found at https://github.com/liamhebert/FedFormer. Accepted at AAMAS 2023

Published
2022

321. Semantically Supervised Appearance Decomposition for Virtual Staging from a Single Panorama

Author

Zhi, Tiancheng, Chen, Bowei, Boyadzhiev, Ivaylo, Kang, Sing Bing, Hebert, Martial, and Narasimhan, Srinivasa G.

Subjects
Computer Science - Graphics
Abstract

We describe a novel approach to decompose a single panorama of an empty indoor environment into four appearance components: specular, direct sunlight, diffuse and diffuse ambient without direct sunlight. Our system is weakly supervised by automatically generated semantic maps (with floor, wall, ceiling, lamp, window and door labels) that have shown success on perspective views and are trained for panoramas using transfer learning without any further annotations. A GAN-based approach supervised by coarse information obtained from the semantic map extracts specular reflection and direct sunlight regions on the floor and walls. These lighting effects are removed via a similar GAN-based approach and a semantic-aware inpainting step. The appearance decomposition enables multiple applications including sun direction estimation, virtual furniture insertion, floor material replacement, and sun direction change, providing an effective tool for virtual home staging. We demonstrate the effectiveness of our approach on a large and recently released dataset of panoramas of empty homes., Comment: To appear in SIGGRAPH 2022

Published
2022

322. Compressing the chronology of a temporal network with graph commutators

Author

Allen, Andrea J., Moore, Cristopher, and Hébert-Dufresne, Laurent

Subjects
Computer Science - Social and Information Networks, Physics - Physics and Society
Abstract

Studies of dynamics on temporal networks often represent the network as a series of "snapshots," static networks active for short durations of time. We argue that successive snapshots can be aggregated if doing so has little effect on the overlying dynamics. We propose a method to compress network chronologies by progressively combining pairs of snapshots whose matrix commutators have the smallest dynamical effect. We apply this method to epidemic modeling on real contact tracing data and find that it allows for significant compression while remaining faithful to the epidemic dynamics.

Published
2022
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323. From Users to (Sense)Makers: On the Pivotal Role of Stigmergic Social Annotation in the Quest for Collective Sensemaking

Author

Tamari, Ronen, Friedman, Daniel, Fischer, William, Hebert, Lauren, and Shahaf, Dafna

Subjects
Computer Science - Social and Information Networks, Computer Science - Human-Computer Interaction
Abstract

The web has become a dominant epistemic environment, influencing people's beliefs at a global scale. However, online epistemic environments are increasingly polluted, impairing societies' ability to coordinate effectively in the face of global crises. We argue that centralized platforms are a main source of epistemic pollution, and that healthier environments require redesigning how we collectively govern attention. Inspired by decentralization and open source software movements, we propose Open Source Attention, a socio-technical framework for "freeing" human attention from control by platforms, through a decentralized eco-system for creating, storing and querying stigmergic markers; the digital traces of human attention., Comment: Blue-sky ideas track of the 33rd ACM Conference on Hypertext and Social Media, Barcelona, 2022 (updated references)

Published
2022
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324. Network compression with configuration models and the minimum description length

Author

Hébert-Dufresne, Laurent, Young, Jean-Gabriel, Daniels, Alexander, Kirkley, Alec, and Allard, Antoine

Subjects
Computer Science - Social and Information Networks, Physics - Physics and Society
Abstract

Random network models, constrained to reproduce specific statistical features, are often used to represent and analyze network data and their mathematical descriptions. Chief among them, the configuration model constrains random networks by their degree distribution and is foundational to many areas of network science. However, configuration models and their variants are often selected based on intuition or mathematical and computational simplicity rather than on statistical evidence. To evaluate the quality of a network representation, we need to consider both the amount of information required to specify a random network model and the probability of recovering the original data when using the model as a generative process. To this end, we calculate the approximate size of network ensembles generated by the popular configuration model and its generalizations, including versions accounting for degree correlations and centrality layers. We then apply the minimum description length principle as a model selection criterion over the resulting nested family of configuration models. Using a dataset of over 100 networks from various domains, we find that the classic Configuration Model is generally preferred on networks with an average degree above ten, while a Layered Configuration Model constrained by a centrality metric offers the most compact representation of the majority of sparse networks.

Published
2022
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325. The OCEAN mailing list data set: Network analysis spanning mailing lists and code repositories

Author

Warrick, Melanie, Rosenblatt, Samuel F., Young, Jean-Gabriel, Casari, Amanda, Hébert-Dufresne, Laurent, and Bagrow, James

Subjects
Computer Science - Computers and Society, Computer Science - Software Engineering
Abstract

Communication surrounding the development of an open source project largely occurs outside the software repository itself. Historically, large communities often used a collection of mailing lists to discuss the different aspects of their projects. Multimodal tool use, with software development and communication happening on different channels, complicates the study of open source projects as a sociotechnical system. Here, we combine and standardize mailing lists of the Python community, resulting in 954,287 messages from 1995 to the present. We share all scraping and cleaning code to facilitate reproduction of this work, as well as smaller datasets for the Golang (122,721 messages), Angular (20,041 messages) and Node.js (12,514 messages) communities. To showcase the usefulness of these data, we focus on the CPython repository and merge the technical layer (which GitHub account works on what file and with whom) with the social layer (messages from unique email addresses) by identifying 33% of GitHub contributors in the mailing list data. We then explore correlations between the valence of social messaging and the structure of the collaboration network. We discuss how these data provide a laboratory to test theories from standard organizational science in large open source projects., Comment: Accepted for the 19th International Conference on Mining Software Repositories (MSR '22), May 23--24, 2022, Pittsburgh, PA, USA

Published
2022

326. Discovering Objects that Can Move

Author

Bao, Zhipeng, Tokmakov, Pavel, Jabri, Allan, Wang, Yu-Xiong, Gaidon, Adrien, and Hebert, Martial

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

This paper studies the problem of object discovery -- separating objects from the background without manual labels. Existing approaches utilize appearance cues, such as color, texture, and location, to group pixels into object-like regions. However, by relying on appearance alone, these methods fail to separate objects from the background in cluttered scenes. This is a fundamental limitation since the definition of an object is inherently ambiguous and context-dependent. To resolve this ambiguity, we choose to focus on dynamic objects -- entities that can move independently in the world. We then scale the recent auto-encoder based frameworks for unsupervised object discovery from toy synthetic images to complex real-world scenes. To this end, we simplify their architecture, and augment the resulting model with a weak learning signal from general motion segmentation algorithms. Our experiments demonstrate that, despite only capturing a small subset of the objects that move, this signal is enough to generalize to segment both moving and static instances of dynamic objects. We show that our model scales to a newly collected, photo-realistic synthetic dataset with street driving scenarios. Additionally, we leverage ground truth segmentation and flow annotations in this dataset for thorough ablation and evaluation. Finally, our experiments on the real-world KITTI benchmark demonstrate that the proposed approach outperforms both heuristic- and learning-based methods by capitalizing on motion cues., Comment: Accepted to CVPR 2022

Published
2022

327. Gravitational-wave echoes from numerical-relativity waveforms via space-time construction near merging compact objects

Author

Ma, Sizheng, Wang, Qingwen, Deppe, Nils, Hébert, François, Kidder, Lawrence E., Moxon, Jordan, Throwe, William, Vu, Nils L., Scheel, Mark A., and Chen, Yanbei

Subjects
General Relativity and Quantum Cosmology
Abstract

We propose a new approach toward reconstructing the late-time near-horizon geometry of merging binary black holes, and toward computing gravitational-wave echoes from exotic compact objects. A binary black-hole merger spacetime can be divided by a time-like hypersurface into a Black-Hole Perturbation (BHP) region, in which the space-time geometry can be approximated by homogeneous linear perturbations of the final Kerr black hole, and a nonlinear region. At late times, the boundary between the two regions is an infalling shell. The BHP region contains late-time gravitational-waves emitted toward the future horizon, as well as those emitted toward future null infinity. In this region, by imposing no-ingoing wave conditions at past null infinity, and matching out-going waves at future null infinity with waveforms computed from numerical relativity, we can obtain waves that travel toward the future horizon. In particular, the Newman-Penrose $\psi_0$ associated with the in-going wave on the horizon is related to tidal deformations measured by fiducial observers floating above the horizon. We further determine the boundary of the BHP region on the future horizon by imposing that $\psi_0$ inside the BHP region can be faithfully represented by quasi-normal modes. Using a physically-motivated way to impose boundary conditions near the horizon, and applying the so-called Boltzmann reflectivity, we compute the quasi-normal modes of non-rotating ECOs, as well as gravitational-wave echoes. We also investigate the detectability of these echoes in current and future detectors, and prospects for parameter estimation.

Published
2022
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328. Hierarchical team structure and multidimensional localization (or siloing) on networks

Author

Hébert-Dufresne, Laurent, St-Onge, Guillaume, Meluso, John, Bagrow, James, and Allard, Antoine

Subjects
Physics - Physics and Society, Computer Science - Multiagent Systems, Computer Science - Social and Information Networks, Nonlinear Sciences - Adaptation and Self-Organizing Systems
Abstract

Knowledge silos emerge when structural properties of organizational interaction networks limit the diffusion of information. These structural barriers are known to take many forms at different scales - hubs in otherwise sparse organisations, large dense teams, or global core-periphery structure - but we lack an understanding of how these different structures interact. Here we bridge the gap between the mathematical literature on localization of spreading dynamics and the more applied literature on knowledge silos in organizational interaction networks. To do so, we introduce a new model that considers a layered structure of teams to unveil a new form of hierarchical localization (i.e., the localization of information at the top or center of an organization) and study its interplay with known phenomena of mesoscopic localization (i.e., the localization of information in large groups), $k$-core localization (i.e., around denser $k$-cores) and hub localization (i.e., around high degree stars). We also include a complex contagion mechanism by considering a general infection kernel which can depend on hierarchical level (influence), degree (popularity), infectious neighbors (social reinforcement) or team size (importance). This general model allows us to study the multifaceted phenomenon of information siloing in complex organizational interaction networks and opens the door to new optimization problems to promote or hinder the emergence of different localization regimes.

Published
2022

332. No impact of CD34+ cell dose on outcome among children undergoing autologous hematopoietic stem cell transplant for high-risk neuroblastoma

Author

Knight, Tristan E., Ahn, Kwang Woo, Hebert, Kyle M., Atshan, Rasha, Wall, Donna A., Chiengthong, Kanhatai, Lund, Troy C., Prestidge, Tim, Rangarajan, Hemalatha G., Dvorak, Christopher C., Auletta, Jeffery J., Kent, Michael, Hashem, Hasan, Talano, Julie-An, Rotz, Seth J., Fraint, Ellen, Myers, Kasiani C., Leung, Wing, Sharma, Akshay, Bhatt, Neel S., Driscoll, Timothy A., Yu, Lolie C., Schultz, Kirk R., Qayed, Muna, Broglie, Larisa, Eapen, Mary, and Yanik, Gregory A.

Published
2023
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336. Discovering the Bathylithology and Bioengineering Organisms of the Punta Coles Marine Natural Reserve, Moquegua, Peru

Author

Sheda Méndez-Ancca, Renzo Pepe-Victoriano, Hebert Hernán Soto Gonzales, Juan Luis Ccamapaza Aguilar, Yesica Alvarez Meza, Marco Antonio Quispe Pacho, Alex Tejada Cáceres, Danny Efraín Baldarrago Centeno, and Jorge González Aguilera

Subjects
habitat mapping, bioengineers, sediment, natural reserve, handling, Naval architecture. Shipbuilding. Marine engineering, VM1-989, Oceanography, GC1-1581
Abstract

The Punta Coles Natural Reserve (PCNR), located on the southern coast of the province of Ilo, Moquegua Region, Peru, houses an area rich in marine biodiversity which is composed of natural banks of benthic invertebrates, which constitute the potential and dynamic fishery of commercial interest for artisanal fishermen that impact the area. To mitigate this impact, all stakeholders need to know, understand, value, and balance the dependence of benthic biodiversity with the ecosystem for its preservation and the promotion of sustainable fishing. Along these lines, the components studied are bathymetry, lithology, and the tapestry of bioengineers that make up the reserve’s seabed. Mapping of the complexity of the benthic habitat of the seabed was developed on the basis of an integrated analysis of multibeam bathymetric data, geoscientific information associated with the antecedents of benthic biodiversity of the PCNR, sediment maps of the seabed, subtidal sedimentological texture, and photographic records. The characterization and granulometry of the sediments that make up the PCNR were determined according to the Udden–Wentworth classification criterion (Φ). The utility of the GPSMAP 178C multibeam echosounder for the interpretation of seabed sediments stands out. The kriging interpolation method was used to extrapolate the characteristics of the benthic habitat, which is suitable for large areas of the sea. As a result, three habitats were derived and mapped, and three structures (bioengineers), namely, “subtidal kelps” (Lessonia trabeculata), “mussels” (Aulacomya atra), and “red sea squirt” (Pyura chilensis), were associated mainly with sedimentary rock habitats and mixed substrates. In the sand substrate, these algae were found to a lesser extent. The results show that this study is a conceptual model that summarizes the understanding of ecology and prospects for the sustainability of profitable, ecoefficient fishing activities in the Moquegua Region, Peru.

Published
2024
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337. Exploring Educational Ecosystems through the Lens of Intermediary Organizations: Insights for Policy and Practice

Author

University of Illinois Chicago (UIC), Center for Urban Education Leadership (CUEL), Cosner, Shelby, Whalen, Sam, Richard, Meagan, and Hebert, Martha

Abstract

In their study of the educational ecosystems that surround schools, the authors recognized a growing global trend that has positioned "intermediary organizations," and particularly non-system intermediary organizations, or those not involved in the formal governmental education system, in an oversized ecosystem role. Through their direct work with schools, especially the most vulnerable schools, these organizations straddle the larger ecosystem and the local schoolhouse, becoming a primary and proximal conduit of external leadership resources into schools. With this in mind, the authors examined a set of more mature non-system intermediary organizations that work directly with schools to generate important insights about their work in forging relationships within and gaining vital resources from these expansive and diffuse ecosystems. Examining the ecosystem from the vantage point of these organizations has potential for helping non-system intermediary organizations to better consider and gain access to the kinds of ecosystem relationships and resources that are likely to prove important to their work, to schools, and to students. It also sheds light on broader issues relevant for ecosystem-building efforts. [Foreword written by by James P. Spillane. This report was co-produced with WISE (World Innovation Summit of Education), an initiative of Qatar Foundation.]

Published
2021

338. Incentivizing Students to Encourage Consistent Study Group Attendance Is Associated with Improved Course Performance

Author

Hebert, Amy K. and Guenther, Merrilee F.

Abstract

Human Anatomy and Physiology I is a rigorous course where developing strong study habits poses a challenge that many students have difficulty overcoming. In an attempt to help students better prepare for exams and improve their overall performance, we introduced incentives for participating in study groups. Here we examine the possible impact these study groups had on exam and course grades of students who participated in study groups versus those who did not, as well as the students' overall attitudes on incorporating these groups into their study habits. Students reported that participation in study groups was a positive experience that helped keep them on track with their material as well as aiding them in preparing for exams. Our goal was to help students develop good study habits that will set them on a path to success in their subsequent coursework. In addition, we anticipated that students would recognize the value of working in groups and strengthen their learning networks and sense of learning community.

Published
2020

345. Improvement in cranial nerve palsies following treatment of intracranial aneurysms with flow diverters: Institutional outcomes, systematic review and study-level meta-analysis

Author

Sujijantarat, Nanthiya, Antonios, Joseph P., Renedo, Daniela, Koo, Andrew B., Haynes, Joseph O., Fathima, Bushra, Jiang, Jasmine W., Hengartner, Astrid C., Shekhar, Apurv H., Amllay, Abdelaziz, Nowicki, Kamil W., Hebert, Ryan M., Gilmore, Emily J., Sheth, Kevin N., King, Joseph T., Jr, and Matouk, Charles C.

Published
2024
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348. Global, regional, and national burden of stroke and its risk factors, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author

Feigin, Valery L, Abate, Melsew Dagne, Abate, Yohannes Habtegiorgis, Abd ElHafeez, Samar, Abd-Allah, Foad, Abdelalim, Ahmed, Abdelkader, Atef, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Arash, Abdoun, Meriem, Abd-Rabu, Rami, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abeldaño Zuñiga, Roberto Ariel, Abhilash, E S, Abiodun, Olugbenga Olusola, Abiodun, Olumide, Abo Kasem, Rahim, Aboagye, Richard Gyan, Abouzid, Mohamed, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abtahi, Dariush, Abu Rumeileh, Samir, Abualhasan, Ahmed, Abualruz, Hasan, Abu-Gharbieh, Eman, Abukhadijah, Hana J, Abu-Rmeileh, Niveen ME, Aburuz, Salahdein, Abu-Zaid, Ahmed, Acuna, Juan Manuel, Adane, Denberu Eshetie, Adane, Mesafint Molla, Addo, Isaac Yeboah, Adedoyin, Rufus Adesoji, Adegboye, Oyelola A, Adekanmbi, Victor, Adhikari, Kishor, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Adzigbli, Leticia Akua, Afify, Abdelrahman Yousry, Afolabi, Aanuoluwapo Adeyimika, Afrashteh, Fatemeh, Afzal, Muhammad Sohail, Afzal, Saira, Aghamiri, Shahin, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Muayyad M, Ahmad, Sajjad, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmadzade, Amir Mahmoud, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Akara, Essona Matatom, Akinyemi, Rufus Olusola, Akkaif, Mohammed Ahmed, Akrami, Ashley E, Al Awaidy, Salah, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Al Qadire, Mohammad, Al Ta'ani, Omar, Al-Ajlouni, Yazan, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Al-amer, Rasmieh Mustafa, Aldhaleei, Wafa A, Aldossary, Mohammed S, Alemohammad, Seyedeh Yasaman, Al-Fatly, Bassam, Al-Gheethi, Adel Ali Saeed, Alhalaiqa, Fadwa Naji, Alharrasi, Maryam, Ali, Abid, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait, Ali, Waad, Al-Ibraheem, Akram, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Almahmeed, Wael, Al-Marwani, Sabah, Alomari, Mahmoud A, Alonso, Jordi, Alqahtani, Jaber S, Al-Raddadi, Rajaa M Mohammad, Alrawashdeh, Ahmad, Alsabri, Mohammed A, Alshahrani, Najim Z, Altaany, Zaid, Altaf, Awais, Al-Tammemi, Alaa B, Altwalbeh, Diala, Alvis-Guzman, Nelson, Alwafi, Hassan, Al-Wardat, Mohammad, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alyahya, Mohammad Sharif Ibrahim, Alzoubi, Karem H, Al-Zyoud, Walid Adnan, Amani, Reza, Amegbor, Prince M, Amera, Tewodros Getnet, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Amiri, Sohrab, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderlini, Deanna, Angappan, Dhanalakshmi, Anil, Abhishek, Ansari, Mohammed Tahir Tahir, Ansari-Moghaddam, Alireza, Ansong, Rockson, Anvari, Saeid, Anwar, Saleha, Anwar, Sumadi Lukman, Anyabolo, Ekenedilichukwu Emmanuel, Anyasodor, Anayochukwu Edward, Apostol, Geminn Louis Carace, Appiah, Francis, Aqeel, Muhammad, Arabloo, Jalal, Arabzadeh Bahri, Razman, Arafat, Mosab, Aravkin, Aleksandr Y, Ardekani, Ali, Areda, Demelash, Aregawi, Brhane Berhe, Aregu, Getnet Mesfin, Aremu, Olatunde, Arifin, Hidayat, Ärnlöv, Johan, Artamonov, Anton A, Arulappan, Judie, Aryal, Umesh Raj, Aryan, Zahra, Asbeutah, Akram M, Asemahagn, Mulusew A, Asemu, Mulu Tiruneh, Asghari-Jafarabadi, Mohammad, Ashemo, Mubarek Yesse, Ashraf, Tahira, Aslani, Armin, Asmerom, Haftu Asmerom, Astell-Burt, Thomas, Athari, Seyyed Shamsadin, Atorkey, Prince, Atout, Maha Moh'd Wahbi, Atreya, Alok, Aujayeb, Avinash, Ausloos, Marcel, Avan, Abolfazl, Awad, Hamzeh, Awotidebe, Adedapo Wasiu, Ayana, Lemessa Assefa A, Aychiluhm, Setognal Birara, Aynalem, Amdehiwot A, Aynalem, Zewdu Bishaw, Azadnajafabad, Sina, Azami, Hiva, Aziz, Shahkaar, Azzam, Ahmed Y, Babu, Abraham Samuel, Babu, Giridhara Rathnaiah, Badar, Muhammad, Badiye, Ashish D, Bahrami Taghanaki, Pegah, Bahramian, Saeed, Bai, Ruhai, Baig, Atif Amin, Bakkannavar, Shankar M, Bako, Abdulaziz T, Baltatu, Ovidiu Constantin, Bam, Kiran, Banach, Maciej, Banakar, Morteza, Bandyopadhyay, Soham, Banik, Palash Chandra, Bansal, Kannu, Bao, Yanping, Barboza, Miguel A, Bardhan, Mainak, Barengo, Noel C, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barqawi, Hiba Jawdat, Barrow, Amadou, Barua, Lingkan, Bashiri, Azadeh, Bashiru, Hameed Akande, Basiru, Afisu, Bastan, Mohammad-Mahdi, Basu, Sanjay, Basu, Saurav, Batra, Kavita, Begde, Ahmet, Behnam, Babak, Behnoush, Amir Hossein, Belayneh, Melesse B Y, Belingheri, Michael, Bello, Umar Muhammad, Bennett, Derrick A, Bensenor, Isabela M, Berhe, Fentaw Tadese, Bermudez, Amiel Nazer C, Beyene, Habtamu B B, Beyene, Kebede A, Bhagat, Devidas S, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhalla, Ashish, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhat, Ajay Nagesh, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh Singh, Bhuiyan, Mohiuddin Ahmed, Bhusal, Subarna, Bikbov, Boris, Bilgin, Cem, Biondi, Antonio, Bishaw, Keralem Anteneh, Biswas, Atanu, Biswas, Bijit, Bodhare, Trupti, Bogale, Eyob Ketema, Boloor, Archith, Bonakdar Hashemi, Milad, Bonny, Aime, Bora Basara, Berrak, Borhany, Hamed, Bosoka, Samuel Adolf, Bouaoud, Souad, Bouyahya, Abdelhakim, Boyko, Edward J, Bozic, Marija M, Braithwaite, Dejana, Breitner, Susanne, Brenner, Hermann, Britton, Gabrielle, Brunoni, Andre R, Bryazka, Dana, Bugiardini, Raffaele, Bulto, Lemma N, Burkart, Katrin, Bustanji, Yasser, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cámera, Luis Alberto, Campos, Luciana Aparecida, Campos-Nonato, Ismael R, Cao, Fan, Capodici, Angelo, Cárdenas, Rosario, Carr, Sinclair, Carreras, Giulia, Carvalho, Andre F, Carvalho, Felix, Castaldelli-Maia, Joao Mauricio, Castañeda-Orjuela, Carlos A, Castelpietra, Giulio, Catapano, Alberico L, Cattaruzza, Maria Sofia, Cegolon, Luca, Cembranel, Francieli, Cenko, Edina, Cerin, Ester, Chadwick, Joshua, Chakraborty, Chiranjib, Chakraborty, Sandip, Chan, Jeffrey Shi Kai, Chandika, Rama Mohan, Chandrasekar, Eeshwar K, Chanie, Gashaw Sisay, Chattu, Vijay Kumar, Chaudhary, Anis Ahmad, Chaurasia, Akhilanand, Chen, Haowei, Chen, Mingling, Chen, Simiao, Chi, Gerald, Chichagi, Fatemeh, Chimoriya, Ritesh, Ching, Patrick R, Chitheer, Abdulaal, Cho, So Mi Jemma, Choi, Dong-Woo, Chong, Bryan, Chong, Chean Lin, Chopra, Hitesh, Choudhari, Sonali Gajanan, Choudhary, Rahul, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Sheng-Chia, Cindi, Zinhle, Cioffi, Iolanda, Cogen, Rebecca M, Columbus, Alyssa, Costanzo, Simona, Couto, Rosa A S, Criqui, Michael H, Cruz-Martins, Natalia, Cuadra-Hernández, Silvia Magali, da Silva, Alanna Gomes, Dadana, Sriharsha, Dadras, Omid, Dai, Xiaochen, Dalal, Koustuv, Dalli, Lachlan L, Damiani, Giovanni, D'Amico, Emanuele, Dandona, Lalit, Dandona, Rakhi, Darwish, Amira Hamed, Das, Saswati, Dashti, Mohsen, Dashtkoohi, Mohadese, Dashtkoohi, Mohammad, Dastmardi, Maedeh, Davletov, Kairat, De la Cruz-Góngora, Vanessa, DeAngelo, Sean, Debele, Aklilu Tamire, Debopadhaya, Shayom, Delgado-Enciso, Ivan, Demessa, Berecha Hundessa, Demetriades, Andreas K, Denova-Gutiérrez, Edgar, Dervišević, Emina, Desai, Hardik Dineshbhai, Desale, Aragaw Tesfaw, Desta, Fikreab, Devanbu, Vinoth Gnana Chellaiyan, Devegowda, Devananda, Dewan, Syed Masudur Rahman, Dhane, Amol S, Dhimal, Meghnath, Dhulipala, Vishal R, Diaz, Michael J, Diress, Mengistie, Dodangeh, Milad, Doegah, Phidelia Theresa, Dohare, Sushil, Doheim, Mohamed Fahmy, Dokova, Klara Georgieva, Dongarwar, Deepa, D'Oria, Mario, Doshi, Ojas Prakashbhai, Doshi, Rajkumar Prakashbhai, Douiri, Abdel, Dowou, Robert Kokou, Dsouza, Ashel Chelsea, Dsouza, Haneil Larson, Dsouza, Viola Savy, Duncan, Bruce B, Duraes, Andre Rodrigues, Dziedzic, Arkadiusz Marian, Ekholuenetale, Michael, El Bayoumy, Ibrahim Farahat, El Sayed Zaki, Maysaa, Elbarazi, Iffat, El-Dahiyat, Faris, Elgendy, Islam Y, Elhadi, Muhammed, El-Huneidi, Waseem, Elmonem, Mohamed A, Elmoselhi, Adel B, Eltaha, Chadi, Emeto, Theophilus I, Esezobor, Christopher Imokhuede, Esfandiari, Negin, Esmaeili, Zahra, Esposito, Francesco, Etoom, Mohammad, Fabin, Natalia, Fadhil, Ibtihal, Fagbamigbe, Adeniyi Francis, Fagbule, Omotayo Francis, Faghani, Shahriar, Fahim, Ayesha, Fakhradiyev, Ildar Ravisovich, Falzone, Luca, Fareed, Mohammad, Fares, Jawad, Farinha, Carla Sofia e Sá, Faris, MoezAlIslam Ezzat Mahmoud, Faris, Pawan Sirwan, Farjoud Kouhanjani, Mohsen, Faro, Andre, Farrokhpour, Hossein, Fasanmi, Abidemi Omolara, Fauk, Nelsensius Klau, Fazeli, Patrick, Fazylov, Timur, Feizkhah, Alireza, Fekadu, Ginenus, Feng, Xiaoqi, Fereshtehnejad, Seyed-Mohammad, Ferrara, Pietro, Ferreira, Nuno, Fetensa, Getahun, Feyisa, Bikila Regassa, Fischer, Florian, Flor, Luisa S, Foley, Kristen Marie, Fonseca, Ana Catarina, Foroumadi, Roham, Foroutan, Behzad, Fortuna, Daniela, Foschi, Matteo, Franklin, Richard Charles, Fridayani, Ni Kadek Yuni, G, Sridevi, Gaal, Peter Andras, Gaidhane, Abhay Motiramji, Gaipov, Abduzhappar, Galali, Yaseen, Gallus, Silvano, Gandhi, Aravind P, Ganesan, Balasankar, Gasevic, Danijela, Gautam, Prem, Gautam, Rupesh K, Gebregergis, Miglas Welay, Gebrehiwot, Mesfin, Gebrekidan, Kebre Gebrekirstos, Getacher, Lemma, Getahun, Genanew K, Getie, Molla, Ghadimi, Delaram J, Ghadirian, Fataneh, Ghaffari Jolfayi, Amir, Ghafourifard, Mansour, Ghasemi, Mohammad-Reza, Ghasemzadeh, Afsaneh, Ghazy, Ramy Mohamed, Gholami, Ehsan, Gholami, Zainab, Ghozy, Sherief, Giannoni Luza, Stefano, Gilani, Jaleed Ahmed, Gill, Tiffany K, Gillum, Richard F, Gindaba, Ebisa Zerihun, Gnedovskaya, Elena V, Goel, Amit, Goldust, Mohamad, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Gona, Philimon N, Gorini, Giuseppe, Goulart, Alessandra C, Goulart, Barbara Niegia Garcia, Gouravani, Mahdi, Grivna, Michal, Grosso, Giuseppe, Grover, Ashna, Guan, Shi-Yang, Guarducci, Giovanni, Guha, Avirup, Guicciardi, Stefano, Gulati, Snigdha, Gunawardane, Damitha Asanga, Guo, Cui, Guo, Zhifeng, Gupta, Anish Kumar, Gupta, Bhawna, Gupta, Mohak, Gupta, Rahul, Gupta, Rajat Das, Gupta, Rajeev, Gupta, Sapna, Habibzadeh, Farrokh, Hadi, Najah R, Haghani Dogahe, Mohammad, Haghi-Aminjan, Hamed, Haghmorad, Dariush, Haj-Mirzaian, Arvin, Halimi, Aram, Hamdy, Nadia M, Hamidi, Samer, Hamilton, Erin B, Hanif, Asif, Hanifi, Nasrin, Hankey, Graeme J, Hannan, Md Abdul, Haq, Zaim Anan, Hargono, Arief, Harlianto, Netanja I, Haro, Josep Maria, Has, Eka Mishbahatul Marah, Hasaballah, Ahmed I, Hasan, Ikramul, Hasnain, Md Saquib, Hassan, Ikrama, Hassan Zadeh Tabatabaei, Mahgol Sadat, Haubold, Johannes, Havmoeller, Rasmus J, Hay, Simon I, Hbid, Youssef, Hebert, Jeffrey J, Hegazi, Omar E, Heidari, Mohammad, Hemmati, Mehdi, Heyi, Demisu Zenbaba, Hezam, Kamal, Hiraike, Yuta, Hoan, Nguyen Quoc, Holla, Ramesh, Horita, Nobuyuki, Hossain, Md Mahbub, Hosseinzadeh, Hassan, Hosseinzadeh, Mehdi, Hosseinzadeh Adli, Ahmad, Hostiuc, Mihaela, Hostiuc, Sorin, Hu, Ben, Hu, Chengxi, Huang, Junjie, Humayun, Ayesha, Hussain, Salman, Huy, Le Duc, Huynh, Hong-Han, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Ikeda, Nayu, Ikiroma, Adalia, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Immurana, Mustapha, Inbaraj, Leeberk Raja, Iqhrammullah, Muhammad, Iradukunda, Arnaud, Irham, Lalu Muhammad, Islam, Md Rabiul, Ismail, Faisal, Ismail, Nahlah Elkudssiah, Iso, Hiroyasu, Isola, Gaetano, Itumalla, Ramaiah, Iwagami, Masao, Iwu, Chidozie Declan CD, J, Vinothini, Jaafari, Jalil, Jacob, Louis, Jafarzadeh, Abdollah, Jahrami, Haitham, Jain, Akhil, Jain, Nityanand, Jairoun, Ammar Abdulrahman, Jaiswal, Abhishek, Jakovljevic, Mihajlo, Jalilzadeh Yengejeh, Reza, Janakiraman, Balamurugan, Jatau, Abubakar Ibrahim, Jayapal, Sathish Kumar, Jayaram, Shubha, Jee, Sun Ha, Jeganathan, Jayakumar, Jegnie, Mihretu, Jema, Alelign Tasew, Jeswani, Bijay Mukesh, Jeyakumar, Angeline, Jha, Anil K, Jha, Ravi Prakash, Ji, Zixiang, Jiang, Heng, Jin, Shuai, Jin, Yingzhao, Jokar, Mohammad, Jonas, Jost B, Joo, Tamas, Jose, Jobinse, Joseph, Nitin, Joshua, Charity Ehimwenma, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Ali, Kabir, Md Awal, Kabir, Zubair, Kadashetti, Vidya, Kalani, Rizwan, Kalra, Sanjay, Kamal, Vineet Kumar, Kamireddy, Arun, Kan, Haidong, Kanaan, Mona, Kandel, Himal, Kanmodi, Kehinde Kazeem, Kantar, Rami S, Kapoor, Neeti, Karakasis, Paschalis, Karaye, Ibraheem M, Karch, André, Karimi, Hanie, Karimi, Salah Eddin, Karimi, Yeganeh, Karimi Behnagh, Arman, Karki, Prabin, Kasraei, Hengameh, Kauppila, Joonas H, Kaur, Harkiran, Kaydi, Neda, Kayode, Gbenga A, Kazemi, Foad, Kazemian, Sina, Kesse-Guyot, Emmanuelle, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khaing, Inn Kynn, Khajuria, Himanshu, Khalaji, Amirmohammad, Khalid, Nauman, Khalil, Anees Ahmed, Khan, Asaduzzaman, Khan, Fayaz, Khan, M Nuruzzaman, Khan, Maseer, Khan, Mohammad Jobair, Khan, Moien AB, Khan, Yusra H, Khanmohammadi, Shaghayegh, Khatab, Khaled, Khatatbeh, Haitham, Khatatbeh, Moawiah Mohammad, Khateri, Sorour, Khatib, Mahalaqua Nazli, Khayamzadeh, Maryam, Khayat Kashani, Hamid Reza, Khidri, Feriha Fatima, Khokhar, Manoj, Khosla, Atulya Aman, Khosravi, Majid, Khubchandani, Jagdish, Kian, Saeid, Kim, Kwanghyun, Kim, Min Seo, Kim, Yun Jin, Kimokoti, Ruth W, Kisa, Adnan, Kisa, Sezer, Kolahi, Ali-Asghar, Koly, Kamrun Nahar, Kompani, Farzad, Kondlahalli, Shivakumar KM Marulasiddaiah, Korja, Miikka, Korshunov, Vladimir Andreevich, Korzh, Oleksii, Kosen, Soewarta, Kostev, Karel, Kothari, Nikhil, Kotnis, Ashwin Laxmikant, Koulmane Laxminarayana, Sindhura Lakshmi, Krishan, Kewal, Krishna, Varun, Krishnamoorthy, Vijay, Krishnan, Bindu, Kruja, Jera, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kuddus, Md Abdul, Kuddus, Mohammed, Kugbey, Nuworza, Kulimbet, Mukhtar, Kulkarni, Vishnutheertha, Kumar, Akshay, Kumar, Ashish, Kumar, Dewesh, Kumar, G Anil, Kumar, Nithin, Kumar, Rakesh, Kumaran D, Senthil, Kundu, Amartya, Kundu, Satyajit, Kunutsor, Setor K, Kurmi, Om P, Kusuma, Dian, Kutikuppala, L V Simhachalam, Kuttikkattu, Ambily, Kytö, Ville, La Vecchia, Carlo, Lacey, Ben, Lahariya, Chandrakant, Lal, Dharmesh Kumar, Lallukka, Tea, Lám, Judit, Landires, Iván, Larsson, Anders O, Lasrado, Savita, Latifinaibin, Kaveh, Lauriola, Paolo, Lavados, Pablo M, Lawal, Basira Kankia, Le, Long Khanh Dao, Le, Nhi Huu Hanh, Le, Thao Thi Thu, Le, Trang Diep Thanh, Lee, Paul H, Lee, Seung Won, Lee, Wei-Chen, Lee, Yo Han, Li, Ming-Chieh, Li, Wei, Li, Xiaopan, Li, Yichong, Lim, Lee-Ling, Lim, Stephen S, Lin, John C, Lindholm, Daniel, Linn, Shai, Liu, Gang, Liu, Runben, Liu, Shuke, Liu, Xiaofeng, Liu, Xuefeng, Llanaj, Erand, Lo, Chun-Han, Lo, Warren David, Lohner, Valerie, López-Gil, José Francisco, Lorenzovici, László, Lorkowski, Stefan, Lotufo, Paulo A, Lucchetti, Giancarlo, Luo, Lisha, Lusk, Jay B, Ma, Zheng Feei, Machoy, Monika, Madadizadeh, Farzan, Maddison, Ralph, Mahmoudi, Elham, Mahmoudvand, Golnaz, Makram, Omar M, Malakan Rad, Elaheh, Malhotra, Kashish, Malik, Ahmad Azam, Malik, Iram, Mallhi, Tauqeer Hussain, Malta, Deborah Carvalho, Mamun, Abdullah A, Manla, Yosef, Mansouri, Mohammad Hadi, Mansouri, Pejman, Mansouri, Vahid, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Manu, Emmanuel, Marateb, Hamid Reza, Marjani, Abdoljalal, Martini, Daniela, Martini, Santi, Martorell, Miquel, Maryam, Sharmeen, Marzo, Roy Rillera, Masrie, Awoke, Mathangasinghe, Yasith, Maulik, Pallab K, Mayeli, Mahsa, Mazidi, Mohsen, McKee, Martin, McPhail, Steven M, Mechili, Enkeleint A, Mehmood, Asim, Mehrabani-Zeinabad, Kamran, Mekene Meto, Tesfahun, Meles, Hadush Negash, Mendoza, Walter, Menezes, Ritesh G, Mensah, George A, Meo, Sultan Ayoub, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Mettananda, Chamila Dinushi Kukulege, Miazgowski, Tomasz, Michalek, Irmina Maria, Micheletti Gomide Nogueira de Sá, Ana Carolina, Minervini, Giuseppe, Minh, Le Huu Nhat, Mini, GK, Mirghafourvand, Mojgan, Mirica, Andreea, Mirrakhimov, Erkin M, Mirza-Aghazadeh-Attari, Mohammad, Mishra, Manish, Misra, Sanjeev, Mithra, Prasanna, Mohamed, Ahmed Ismail, Mohamed, Jama, Mohamed, Nouh Saad, Mohammad, Ameen Mosa, Mohammadi, Esmaeil, Mohammadi, Saeed, Mohammadi, Soheil, Mohammadian-Hafshejani, Abdollah, Mohammadzadeh, Ibrahim, Mohammed, Hussen, Mohammed, Mustapha, Mohammed, Salahuddin, Mohammed, Shafiu, Mokdad, Ali H, Molavi Vardanjani, Hossein, Molokhia, Mariam, Momani, Shaher, Monasta, Lorenzo, Moni, Mohammad Ali, Montazeri, Fateme, Moodi Ghalibaf, AmirAli, Moosazadeh, Mahmood, Moradi, Maryam, Moradi, Yousef, Moraga, Paula, Morawska, Lidia, Moreira, Rafael Silveira, Morrison, Shane Douglas, Mosaddeghi Heris, Reza, Mossialos, Elias, Mousavi, Parsa, Msherghi, Ahmed, Mubarik, Sumaira, Muccioli, Lorenzo, Mulita, Admir, Muniyandi, Malaisamy, Munjal, Kavita, Murillo-Zamora, Efren, Muthu, Sathish, Myung, Woojae, Nabavi, Amin, Nabhan, Ashraf Fawzy, Nafei, Ayoub, Nagarajan, Ahamarshan Jayaraman, Naghavi, Pirouz, Naik, Ganesh R, Naik, Gurudatta, Naimzada, Mukhammad David, Nair, Sanjeev, Nair, Tapas Sadasivan, Najdaghi, Soroush, Najmuldeen, Hastyar Hama Rashid, Nakhostin Ansari, Noureddin, Nangia, Vinay, Narasimha Swamy, Sreenivas, Nargus, Shumaila, Narimani Davani, Delaram, Nascimento, Bruno Ramos, 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