Inpatient treatment for severe obesity: A retrospective cohort study in Brazil, comparing exposure variables in a secondary data analysis. by Domingos L S Rios, Márcia C A M Oliveira, Sérgio Q Braga, Matheus J Chamorro, Beatriz L B Cunha, Ana C R Reis, Ana P Guimarães, Ana D N Silva, Dandara A R Silva, Edilene M Q Araújo, Magno M W Pimentel

“…We evaluated the effectiveness of treating severe obesity in hospitalized patients, using very low-calorie diets and clinical support to develop lifestyle changes.<h4>Methods</h4>This study was a retrospective cohort comparing exposure variables in a secondary data analysis with a pre-post treatment design. …”
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A frequentist one-step model for a simple network meta-analysis of time-to-event data in presence of an effect modifier. by Matthieu Faron, Pierre Blanchard, Laureen Ribassin-Majed, Jean-Pierre Pignon, Stefan Michiels, Gwénaël Le Teuff

“…<h4>Introduction</h4>Individual patient data (IPD) present particular advantages in network meta-analysis (NMA) because interactions may lead an aggregated data (AD)-based model to wrong a treatment effect (TE) estimation. …”
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Haematological dynamics following treatment of visceral leishmaniasis: a protocol for systematic review and individual participant data (IPD) meta-analysis by James Wilson, Koert Ritmeijer, Fabiana Alves, Prabin Dahal, Kasia Stepniewska, Shyam Sundar, Philippe J Guérin, Manju Rahi, Ahmed Musa, Krishna Pandey, Rishikesh Kumar, Sauman Singh-Phulgenda, Niyamat Ali Siddiqui, Abdalla Munir, Caitlin Naylor, Gemma Buck, Paritosh Malaviya

“…An individual participant data meta-analysis (IPD-MA) is planned to characterise the haematological dynamics in patients with VL.Methods and analysis The Infectious Diseases Data Observatory (IDDO) VL data platform is a global repository of IPD from therapeutic studies identified through a systematic search of published literature (PROSPERO registration: CRD42021284622). …”
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Exploring study dropout in drug trials for adults with PTSD: insights from a conventional and individual participant data meta-analysis by Simonne L. Wright, Anna Kessler, Marit Sijbrandij, Eirini Karyotaki, Pim Cuijpers, Jonathan Bisson, Kathleen Brady, Sheila M. Dowd, Boadie W. Dunlop, Mark H. Pollack, Barbara O. Rothbaum, Soraya Seedat

“…Forty-three RCTs (n = 4829) were included in a conventional meta-analysis. Additionally, we conducted a small exploratory predictor analysis including participant-level data from three RCTs (n = 246).Results: In the conventional meta-analysis, study dropout was marginally lower in the drug relative to the placebo group, but the difference was not significant, RR = 0.92, 95% CI [0.83, 1.02], p = .099. …”
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Application of Multiple Detection Data in the Analysis of Snowstorm Processes in Xinjiang during the Central Asia Extreme Precipitation Observation Test (CAEPOT) by Yong Zeng, Lianmei Yang, Zepeng Tong, Zuyi Zhang

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Systematic review and network meta-analysis with individual participant data on cord management at preterm birth (iCOMP): study protocol by Stuart B Hooper, Peter G Davis, Anup C Katheria, Venkataseshan Sundaram, Lisa Askie, Martin Kluckow, Shigeharu Hosono, Eugene Dempsey, Walid El-Naggar, William Tarnow-Mordi, Heike Rabe, Ronny Knol, Lelia Duley, Thomas Debray, Amir Kugelman, Kellie Murphy, Anna Lene Seidler, Kylie E Hunter, Michael Meyer, Catalina De Paco Matallana, John Kattwinkel, Judith Mercer, Justin Josephsen, Karen Fairchild, Ola Andersson, Vikram Datta, Graeme Polglase, Angie Barba, John Simes, Ava Grace Tan-Koay, Anu George, Anu Sachdeva, Arjan Te Pas, Ashish K C, Bimlesh Kumar, Carl Backes, Chamnan Tanprasertkul, Chayatat Ruangkit, G Ram Mohan, Gillian Gyte, Guillermo Carroli, Heidi Al-Wassia, Hytham Atia, Islam Nour, Jiangqin Liu, John Bauer, Kristy Robledo, Lakhbir Dhaliwal, Laura Perretta, Lin Ling, Manoj Varanattu, Maria Goya, Musa Silahli, Neelam Kler, Neil Finer, Omar Kamlin, Peter Giannone, Pharuhad Pongmee, Prisana Panichkul, Sandeep Kadam, Sangkae Chamnanvanakij, Shiraz Badurdeen, Simone Pratesi, Thomas Ranjit, Victor Lago Leal, Waldemar Carlo

“…Individual participant data (IPD) enable exploration of different strategies within subgroups. …”
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An exploration of sub-national variability in institutional maternal mortality ratios in Kenya: a meta-analysis of the 2021 health facility data by Francis G. Muriithi, Christina Easter, Alfred Osoti, Zahida Qureshi, Adam Devall, Arri Coomarasamy

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Postpartum depression and associated factors among childbearing women from the recent Demographic and Health Survey data of Mozambique: Multilevel analysis by Mamaru Melkam, Bezawit Melak Fente, Yohannes Mekuria Negussie, Zufan Alamrie Asmare, Hiwot Altaye Asebe, Beminate Lemma Seifu, Alemayehu Kasu Gebrehana, Sintayehu Simie Tsega, Meklit Melaku Bezie, Angwach Abrham Asnake

“…A total of 5,468 sample sizes of Mozambique DHS data were used for this secondary data analysis. …”
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Analyzing Trends in Suicidal Thoughts Among Patients With Psychosis in India: Exploratory Secondary Analysis of Smartphone Ecological Momentary Assessment Data by Ameya P Bondre, Aashish Ranjan, Ritu Shrivastava, Deepak Tugnawat, Nirmal Kumar Chaturvedi, Anant Bhan, Snehil Gupta, Abhijit R Rozatkar, Srilakshmi Nagendra, Siddharth Dutt, Soumya Choudhary, Preethi V Reddy, Urvakhsh Meherwan Mehta, John A Naslund, John Torous

“…MethodsThis study is an exploratory, secondary analysis of smartphone EMA data nested within the ongoing “Smartphone Health Assessment for Relapse Prevention (SHARP)” project. …”
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Development of the Real‐Time 30‐s‐Update Big Data Assimilation System for Convective Rainfall Prediction With a Phased Array Weather Radar: Description and Preliminary Evaluation... by T. Honda, A. Amemiya, S. Otsuka, G.‐Y. Lien, J. Taylor, Y. Maejima, S. Nishizawa, T. Yamaura, K. Sueki, H. Tomita, S. Satoh, Y. Ishikawa, T. Miyoshi

“…The development includes a new thinning method considering the spatially correlated observation errors in the dense radar data. …”
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An econometric analysis of the determinants of rural household poverty in Somalia by Bukhari Abdiwahab Mohamed Bobe

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Curvature Analysis in Seed Surface of SEM Images of <i>Silene</i> Species from Türkiye by José Javier Martín-Gómez, José Luis Rodríguez-Lorenzo, Ángel Tocino, Mehmet Yaşar Dadandi, Kemal Yildiz, Emilio Cervantes

“…Tubercle quantification not only is a useful tool for <i>Silene</i> taxonomy, but also provides the basis for the analysis of the genetic control and developmental effects on tubercle structure and shape in the seed surface.…”
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Brazilian authorship gender trends on academic surgery: a bigdata analysis by Ana Kim, Luana Baptistele Dornelas, Luiza Telles, Ayla Gerk, Sarah Bueno Motter, Sarah Lopes Salomão, David Mooney, Cristina Camargo, Roseanne Ferreira

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Estimation method of the cohesion degree for the users’ profiles of social network based on open data by Valentina A. Kataeva, Igor S. Pantyukhin, Igor V. Yurin

“…A tuple of characteristics of social network profiles is the data, collected for each user, stored in a structured form.The next step is the analysis of the collected information. …”
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Comparison of remotely sensing and meteorological data-derived drought indices in mid-western Iran by Hamid Nazaripour, Hossein Jahantigh, Mokhtar Jafari

“…Several indices have been developed for drought quantification based on ground data and remote sensing. …”
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Enabling scalable single-cell transcriptomic analysis through distributed computing with Apache spark by Asif Adil, Namrata Bhattacharya, Aadam, Naveed Jeelani Khan, Mohammed Asger

“…However, several of these tools primarily focus on the analytical aspect and tend to overlook the burgeoning data deluge generated by scRNA-seq experiments. In this study, we try to address this challenge and present a novel parallel analytical framework, scSPARKL, that leverages the power of Apache Spark to enable the efficient analysis of single-cell transcriptomic data. scSPARKL is fortified by a rich set of staged algorithms developed to optimize the Apache Spark’s work environment. …”
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Deep Learning-Based Remote Sensing Image Analysis for Wildfire Risk Evaluation and Monitoring by Shiying Yu, Minerva Singh

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COMPARATIVE ANALYSIS AND ASSESSMENT OF THE LEVEL OF DIGITALIZATION OF ARMENIAN AND RUSSIAN ORGANIZATIONS BY TYPES OF ECONOMIC ACTIVITY by Tatul M. Mkrtchyan, Manuk E. Movsisyan, Lusine V. Karapetyan, Tatevik G. Vardanyan

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The impact of Gender Diversity on Innovative Performance: Empirical Analysis in the Caribbean Region by Yury Castillo, Isabel Álvarez

“…These findings suggest important managerial and policy implications for developing measures to reduce gender disparities in innovation. …”
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Deep Proteome Coverage of Microglia Using a Streamlined Data-Independent Acquisition-Based Proteomic Workflow: Method Consideration for a Phenotypically Diverse Cell Type by Jessica Wohlfahrt, Jennifer Guergues, Stanley M. Stevens

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