Precise Recognition and Feature Depth Analysis of Tennis Training Actions Based on Multimodal Data Integration and Key Action Classification by Weichao Yang

“…The model optimizes multimodal data integration and complex action classification performance, enabling precise analysis of key action features in tennis training. …”
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Analysis of rare events in healthcare intervention using department of defense data: intravenous immune globulin therapy for bullous pemphigoid by Onur Baser, Huseyin Yuce, Gabriela Samayoa

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Evaluation of Personal and Built Environment Attributes to Physical Activity: A Multilevel Analysis on Multiple Population-Based Data Sources by Wei Yang, Karen Spears, Fan Zhang, Wai Lee, Heidi L. Himler

“…Conclusions. Multiple data systems including complex population survey and spatial analysis are valuable tools on health and built environment studies.…”
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Identifying New High-confidence Polluted White Dwarf Candidates Using Gaia XP Spectra and Self-organizing Maps by Xabier Pérez-Couto, Lara Pallas-Quintela, Minia Manteiga, Eva Villaver, Carlos Dafonte

“…The Gaia space mission has provided us with an unprecedented amount of astrometric, photometric, and low-resolution (XP) spectroscopic data for millions of newly discovered stellar sources, among them thousands of WDs. …”
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Performance Analysis of Machine Learning Techniques for Server Health Monitoring Using Time Series Data Against DDOS Attacks by Sajja Ratan Kumar, Valli Kumari Vatsavayi

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Maternal and paternal employment in agriculture and early childhood development: A cross-sectional analysis of Demographic and Health Survey data. by Lilia Bliznashka, Joshua Jeong, Lindsay M Jaacks

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Association between physical activity patterns and symptoms of obstructive sleep apnea: a cross-sectional analysis of NHANES data by Fei Xue, Yating Zhou

“…Methods The analysis included 19,223 adults who provided self-reported data on their PA patterns. …”
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Associations of reallocating time between movement behaviours with adiposity and physical fitness among employees: a compositional data analysis by Nucharapon Liangruenrom, Dorothea Dumuid, Zeljko Pedisic, Dyah Anantalia Widyastari, Waris Wongpipit, Piyawat Katewongsa

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3D tomographic analysis of equatorial plasma bubble using GNSS-TEC data from Indonesian GNSS Network by Ihsan Naufal Muafiry, Prayitno Abadi, Teguh N. Pratama, Dyah R. Martiningrum, Sri Ekawati, Yuandhika G. Wismaya, Febrylian F. Chabibi, Gatot H. Pramono

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Association between social determinants of health and systemic lupus erythematosus: a nationally representative analysis of 2017–2021 data by Ami Vyas, Steven Cohen, Christine Eisenhower

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Converging Representations of Attention-Deficit/Hyperactivity Disorder and Autism on Social Media: Linguistic and Topic Analysis of Trends in Reddit Data by Jemima Kang, Nick Haslam, Mike Conway

“…Semantic analysis showed ADHD and autism becoming more closely related from 2019 onward, compared to other conditions. …”
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Impact of the COVID-19 pandemic on brain death detection in German hospitals: a state-wide analysis of health data by Daniela Schoene, Martin Roessler, Katharina Eder, Albrecht Günther, Konrad Pleul, Axel Rahmel, Kristian Barlinn

“…It is unclear how crisis-related health system disruptions, such as the COVID-19 pandemic, affect this detection deficit. Methods Secondary data analysis of anonymized data from deceased patients with acute brain injury from Saxony, Saxony-Anhalt and Thuringia during the pre-pandemic and pandemic period (01/2019–12/2022). …”
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Breast cancer incidence in Indonesia: a sex-disaggregated analysis using WHO health equity assessment toolkit data by Augustus Osborne, Qorinah Estiningtyas Sakilah Adnani, Bright Opoku Ahinkorah

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Depletion curve analysis and assessment of chemical indicators for pollution detection in Seraidi springs (Annaba, Algeria) by Salima Guechi, Laroussi Beloulou

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Analysis of factors predisposing dairy Assaf ewes to marine lipid-induced milk fat depression by A. Della Badia, K.J. Harvatine, P.G. Toral, C. Matamoros, P. Frutos, G. Hervás

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Forest aboveground carbon storage estimation and uncertainty analysis by coupled multi-source remote sensing data in Liaoning Province by Hancong Fu, Hengqian Zhao, Ge Liu, Yujiao Zhang, Xiadan Huangfu, Jinbao Jiang

“…Traditional forest resource inventory methods pose limitations due to their sparse spatial coverage and time-consuming data collection. While satellite sensors offer extensive spatial and temporal coverage, their low spatial resolution often introduces significant errors when ground measurements are directly matched with satellite image pixels. …”
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Blood pressure-lowering treatment for the prevention of cardiovascular events in patients with atrial fibrillation: An individual participant data meta-analysis. by Ana-Catarina Pinho-Gomes, Luis Azevedo, Emma Copland, Dexter Canoy, Milad Nazarzadeh, Rema Ramakrishnan, Eivind Berge, Johan Sundström, Dipak Kotecha, Mark Woodward, Koon Teo, Barry R Davis, John Chalmers, Carl J Pepine, Kazem Rahimi, Blood Pressure Lowering Treatment Trialists’ Collaboration

“…Risk of bias assessment showed that 20 trials were at low risk of bias and 2 trials at moderate risk. …”
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Toward automated plantar pressure analysis: machine learning-based segmentation and key point detection across multicenter data by Carlo Dindorf, Jonas Dully, Steven Simon, Dennis Perchthaler, Stephan Becker, Hannah Ehmann, Christian Diers, Christoph Garth, Michael Fröhlich

“…Traditional proportion-based segmentation methods are often limited, particularly for atypical foot structures and low-quality data. Although recent advances in machine learning (ML) offer opportunities for automated and robust segmentation across diverse datasets, existing models primarily rely on data from single laboratories, limiting their applicability to multicenter datasets. …”
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Analysis of the epidemiological characteristics and environmental influencing factors of mycoplasma pneumonia in Wuhan, China based on multi-source spatiotemporal data by Yvtao Hua, Qingxiang Meng, Li Shen, Chen Wang, Ke Hu, Yaohua Yi, Yixuan Wang, Rui Xiao

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A Multiphysics Dataset Generation Procedure for the Data-Driven Modeling of Traction Electric Motors by Simone Ferrari, Luigi Solimene, Riccardo Torchio, Costanza Anerdi, Fabio Freschi, Luca Giaccone, Gianmarco Lorenti, Francesco Lucchini, Piergiorgio Alotto, Gianmario Pellegrino, Maurizio Repetto

“…One of the main novelties of this approach is that geometrical and physical data of the motor configuration are shared among different analysis codes. …”
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