DconnLoop: a deep learning model for predicting chromatin loops based on multi-source data integration by Junfeng Wang, Kuikui Cheng, Chaokun Yan, Huimin Luo, Junwei Luo

“…In contrast, multi-source data integration and deep learning approaches, though not yet widely applied, hold significant potential. …”
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Emotional contagion in dyadic online video conferences—empirical evidence based on self-report and facial expression data by Anton K. G. Marx, David F. Sachs, Anne C. Frenzel, Martin T. Schweizer

“…The present study explored the degree to which emotional contagion occurs in dyadic online video conferences, using subjective self-report and automatically coded facial expression data.MethodsIn a lab-based experimental approach, 104 participants (in 52 dyads) interacted via synchronized computers. …”
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CohortDiagnostics: Phenotype evaluation across a network of observational data sources using population-level characterization. by Gowtham A Rao, Azza Shoaibi, Rupa Makadia, Jill Hardin, Joel Swerdel, James Weaver, Erica A Voss, Mitchell M Conover, Stephen Fortin, Anthony G Sena, Chris Knoll, Nigel Hughes, James P Gilbert, Clair Blacketer, Alan Andryc, Frank DeFalco, Anthony Molinaro, Jenna Reps, Martijn J Schuemie, Patrick B Ryan

“…<h4>Discussion</h4>We provide a practical and data-driven approach to evaluate PAs, using two clinical diseases as examples, across a network of OMOP data sources. …”
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A self-study using data to inform student-teacher supports in a transformed teacher preparation program by Celestial Wills-Jackson

“…Data were coded thematically and aligned with the research questions to inform programmatic improvement. …”
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Characterizing the services provided by family physicians in Ontario, Canada: A retrospective study using administrative billing data. by David W Savage, Arunim Garg, Salimur Choudhury, Roger Strasser, Robert Ohle, Vijay Mago

“…We investigated the services provided by family physicians in Ontario, Canada using a provincial physician database and administrative physician billing data from 2017. Billing codes were used to define 18 general services that family physicians may provide. …”
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Pragmatic and Semantic Analysis of Anti-War Protest Utterances (on the Data of Public Opinion Discourse in the Spring of 2022 in Russia) by O. V. Dreifeld

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The incidence and prevalence of Dupuytren’s disease in primary care: results from a text mining approach on registration data by Roel J. M. van Straalen, Michiel R. de Boer, Francine Vos, Paul M. N. Werker, Dieuwke C. Broekstra

“…We present the first study that estimates the incidence and prevalence of DD in primary care by applying a text-mining algorithm to registration data.Methods This is a population-based cohort study using electronic health records from Dutch general practices involved in a regional research network. …”
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Data-constrained Magnetohydrodynamic Simulation of a Filament Eruption in the Decaying Active Region 13079 on a Global Scale by Yihua Li, Yang Guo, Jinhan Guo, M. D. Ding, Chun Xia, Rony Keppens

“…Technically, we provide a useful method of advanced data-constrained simulation of weak active regions in spherical coordinates. …”
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Association analysis between polygenic risk scores and traits: practical guidelines and tutorial with an illustrative data set of schizophrenia by Itziar Irigoien, Patricia Mas-Bermejo, Patricia Mas-Bermejo, Sergi Papiol, Sergi Papiol, Sergi Papiol, Neus Barrantes-Vidal, Neus Barrantes-Vidal, Neus Barrantes-Vidal, Araceli Rosa, Araceli Rosa, Araceli Rosa, Concepción Arenas

“…Besides, it is accompanied by four examples, called Working Examples, which present different situations the researcher may encounter along with the R code for analyzing all these data sets and the corresponding application of the steps in this guide.…”
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Detecting drug transfers via the drop-off method: A supervised model approach using AIS data by Britt van Leeuwen, Maike Nutzel

“…For more information and access to the code repository, please visit this link.…”
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Prevalence of psoriatic arthritis and comorbidities in patients with severe psoriasis: Data of a retrospective analysis of a hospital cohort by N. V. Batkaeva, T. V. Korotaeva, E. A. Batkaev

“…The diagnosis of comorbidities was confirmed by medical specialists in accordance with the ICD-10 code; the rate and pattern (%) of comorbidities were analyzed.Results. …”
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Anti-Diabetic Drug Utilization in Fasa, Southern Iran: A Pharmacoepidemiological Study Based on PERSIAN Cohort Data by Leila Zarei, Seyyed Taghi Heydari, Farzad Doostishoar, Azizallah Dehghan, Reza Tabrizi

“…Therefore, the present study was performed with the aim of pharmacoepidemiological analysis on utilization of antidiabetic drugs based on PERSIAN cohort data.Methods: In this study, 10138 participants were included by baseline data. …”
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AI-augmented pathology: the experience of transfer learning and intra-domain data diversity in breast cancer metastasis detection by Manuel Cossio, Nina Wiedemann, Esther Sanfeliu Torres, Esther Barnadas Sole, Laura Igual

“…Using these masks, four distinct datasets were constructed to fine-tune a pretrained ResNet50 model across eight different configurations, incorporating varied dataset combinations and data augmentation techniques. To enhance interpretability, we developed a visualization tool that employs color-coded probability maps to highlight tumor regions alongside their prediction confidence. …”
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The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1) by M. Buehner, J.-F. Caron, E. Lapalme, A. Caya, P. Du, Y. Rochon, S. Skachko, M. Bani Shahabadi, S. Heilliette, M. Deshaies-Jacques, W. Chang, M. Sitwell

“…<p>The Modular and Integrated Data Assimilation System (MIDAS) software (version 3.9.1) is described in terms of its range of functionality, modular software design, parallelization strategy, and current uses within real-time operational and experimental systems. …”
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MFGaussian: multi-modal data fusion based 3D Gaussian splatting for accurate and robust scene representation by Ran Yang, Yang Liu, Ruofei Zhong, Zhanying Wei, Mengbing Xu, Shuai Liu, Peng Yan

“…We propose MFGaussian, a framework based on 3DGS for 3D scene representation by fusing multi-modal data obtained from the Mobile laser scanning system (MLS) to achieve high robustness and accuracy even with limited input views. …”
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Sex Differences in Profile and In‐Hospital Death for Acute Stroke in Chile: Data From a Nationwide Hospital Registry by Marilaura Nuñez, Ma.Ignacia Allende, Francisca González, Gabriel Cavada, Craig S. Anderson, Paula Muñoz Venturelli

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Analysis of treatment patterns and persistence on branded and generic medications in major depressive disorder using retrospective claims data by Solem CT, Shelbaya A, Wan Y, Deshpande CG, Alvir J, Pappadopulos E

“…Caitlyn T Solem,1 Ahmed Shelbaya,2,3 Yin Wan,1 Chinmay G Deshpande,1 Jose Alvir,2 Elizabeth Pappadopulos2 1Pharmerit International, Real World Evidence/Data Analytics, Bethesda, MD, 2Pfizer, Inc., Global Health Outcomes, New York, NY, 3Epidemiology Department of Mailman&amp;rsquo;s School of Public Health, Columbia University Mailman School of Public Health, New York, NY, USA Background: In major depressive disorder (MDD), treatment persistence is critical to optimize symptom remission, functional recovery, and health care costs. …”
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Epidemiology, disease burden and costs of Duchenne muscular dystrophy in Germany: an observational, retrospective health claims data analysis by Joanna Diesing, Janbernd Kirschner, Astrid Pechmann, Jörg König, Leonie Kunk, Tarcyane Barata Garcia, Carolina Schwedhelm, Carsta Militzer-Horstmann, Ivonne Hänsel, Agnes Kisser

“…The rarity of the disease makes research difficult, and German prevalence data are lacking. Cost and resource utilization estimations are based on small sample sizes or self-reported data, limiting generalizability and adds the potential for recall bias. …”
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An IoT-enabled AI system for real-time crop prediction using soil and weather data in precision agriculture by MD Shaifullah Sharafat, Nilavro Das Kabya, Rahimul Islam Emu, Mehrab Uddin Ahmed, Jakaria Chowdhury Onik, Mohammad Aminul Islam, Riasat Khan

“…The findings highlight the potential of AI and IoT in improving crop selection, optimizing resource usage, and supporting sustainable agricultural practices in Bangladesh and beyond. The implementation code and private dataset are available at: https://github.com/SAIFULLAH-SHARAFAT/An-IoT-Enabled-AI-System-for-Real-Time-Crop-Prediction-Using-Soil-and-Weather-Data.…”
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Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sitesZenodo by W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi

“…It supports landscape-scale habitat analysis and contributes to the standardization of vegetation metrics from ALS data for site-specific ecological monitoring (e.g., Natura 2000). …”
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