Analysis of Downstream Sediment Transport Trends Based on In Situ Data and Numerical Simulation by Yuxi Wu, Xiwen Li, Enjin Zhao, Yang Wang, Shiyou Zhang, Zhiming Xu, Qinjun Wang, Dongxu Jiang, Zhuang Xing

“…Through field collection of topographic data and sediment sampling, combined with advanced computational techniques, the study explored the transport pathways and depositional patterns of sediments. …”
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Integrating genetic and gene expression data in network-based stratification analysis of cancers by Kenny Liou, Ji-Ping Wang

“…Network-based stratification (NBS) approaches have been presented to classify cancer tumors using somatic mutation data. A challenge in cancer stratification is integrating omics data to yield clinically meaningful subtypes. …”
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The analysis of thermal performance of radiation life support system based on experimental data by V. I. Karagusov, A. V. Zinovieva

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Neural Networks vs. Regression: A Comparative Analysis in Medical Data Processing by Minodora ANDOR, Gheorghe Ioan MIHALAŞ

“… Background and Aim: The increasing adoption of artificial intelligence (AI) in medical research offered alternative methods for medical data processing. This study evaluated comparatively the predictive performance of feedforward neural networks (FFNN) regression versus classical statistical regression analysis in estimating the risk of post-COVID-19 type 2 diabetes based on metabolic factors. …”
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Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges by Christian M. Mulomba, Vogel M. Kiketa, David M. Kutangila, Pescie H. K. Mampuya, Junior N. Mukenze, Landry M. Kasunzi, Kyandoghere Kyamakya, Tasho Tashev, Selain K. Kasereka

“…Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective interventions. …”
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Computational Intelligence and Soft Computing Paradigm for Cheating Detection in Online Examinations by Sanaa Kaddoura, Shweta Vincent, D. Jude Hemanth

“…We have also presented state-of-the-art methods followed, which are capable of mitigating online cheating, namely, face recognition, face expression recognition, head posture analysis, eye gaze tracking, network data traffic analysis, and detection of IP spoofing. …”
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An Automated and Efficient Slope Unit Division Method Coupled with Computer Graphics and Hydrological Principles by Ting Xiao, Li Zhu, Lichang Wang, Beibei Yang, Can Wang, Haipeng Yao

“…Based on the principles of unit consistency and hydrological processes, this study integrates computer graphics algorithms with hydrological process simulation techniques to propose an automated slope unit division method coupled with computer graphics and hydrological principles (SUD-CGHP). …”
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Nutrient Balance of Citrus Across the Mandarin Belts of India by Anoop Kumar Srivastava, Ambadas Dattatray Huchche, Leon-Etienne Parent, Suresh Kumar Malhotra, Vasileios Ziogas, Lohit Kumar Baishya

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Deep Learning Autoencoders for Fast Fourier Transform-Based Clustering and Temporal Damage Evolution in Acoustic Emission Data from Composite Materials by Serafeim Moustakidis, Konstantinos Stergiou, Matthew Gee, Sanaz Roshanmanesh, Farzad Hayati, Patrik Karlsson, Mayorkinos Papaelias

“…Structural health monitoring (SHM) in fiber-reinforced polymer (FRP) composites is essential to ensure safety and reliability during service, particularly in critical industries such as aerospace and wind energy. …”
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Association between methylmalonic acid and composite dietary antioxidant index and diabetic retinopathy: data from National Health and Nutrition Examination Survey by Xue Pan

“…We aimed to explore the impact of MMA levels and the composite dietary antioxidant index (CDAI) on DR risk in patients with diabetes. …”
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Preliminary analysis of patient assessment within a study on the impact of hydrokinetotherapy on body composition and metabolic disease risk in an adult population segment by Claudiu Cobuz, Sînziana Călina Silișteanu, Maricela Cobuz, Andrei-Ioan Costea, Elena Vizitiu Lakhdari

“…Results: The interpretation of BMI data for women aged 40-60 revealed significant variability in this group’s body composition, as was also observed in women aged 61-80. …”
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Exploring the Nutritional Profile and Cost of Plant-Based Milk Alternatives Compared with Dairy Milk in the UK with Consideration of Environmental Impact Data by Gemma K Nowson, Rosalind Fallaize, Kate E Earl

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Composite anthropometric data quality index for children under the age of 5 on the Brazilian National Food and Nutrition Surveillance System, 2019–2021 by Rafaela Oliveira-Santos, Priscila Ribas de Farias Costa, Natanael de Jesus Silva, Juliana Freitas de Mello e Silva, Laís Silva Sacramento, Gilberto Kac, Rita de Cássia Ribeiro-Silva, Mauricio Lima Barreto

“…Principal component analysis [PCA] was used to generate a composite anthropometric data quality index for standardized height-for-age (HAZ) and weight-for-height z score (WHZ) indices. …”
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IGN: Invariable gene set-based normalization for chromatin accessibility profile data analysis by Shengen Shawn Hu, Hai-Hui Xue, Chongzhi Zang

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Combination of machine learning and data envelopment analysis to measure the efficiency of the Tax Service Office by Shofinurdin Soffan, Arif Bramantoro, Ahmad A. Alzahrani

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Data-driven evaluation of background radiation safety using machine learning and statistical analysis by Muhammad Abid, Muhammad Shahid

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Is grip strength linked to body composition and cardiovascular risk markers in primary schoolchildren? Cross-sectional data from three African countries by Juerg Utzinger, Nicole Probst-Hensch, Honorati Masanja, Uwe Pühse, Bassirou Bonfoh, Ivan Müller, Cheryl Walter, Rosa Du Randt, Stefanie Gall, Siphesihle Nqweniso, Peter Steinmann, Markus Gerber, Fredros O Okumu, Serge Ayekoé, Jean T Coulibaly, Dao Daouda, Bomey Clément Gba, Benal Kouassi, Sylvain G Traoré, Marceline F Finda, Elihaika G Minja, Getrud J Mollel, Johanna Beckmann, Christin Lang, Kurt Z Long

“…Therefore, this study examines whether HGS is associated with body composition and markers of cardiovascular risk in children from three sub-Saharan African countries.Design Cross-sectional study.Setting Public primary schools (grade 1–4) in Taabo (Côte d’Ivoire), Gqeberha (South Africa) and Ifakara (Tanzania).Participants Data from 467 children from Côte d’Ivoire (210 boys, 257 girls), 864 children from South Africa (429 boys, 435 girls) and 695 children from Tanzania (334 boys, 361 girls) were analysed.Primary and secondary outcome measures Body composition (assessed via bioelectrical impedance analysis) was the primary outcome. …”
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Advancing Leaf Nutritional Characterization of Blueberry Varieties Adapted to Warm Climates Enhanced by Proximal Sensing by Sérgio H. G. Silva, Marcelo C. Berardo, Lucas R. Rosado, Renata Andrade, Anita F. S. Teixeira, Mariene H. Duarte, Fernanda A. Bócoli, Marco A. C. Carneiro, Nilton Curi

“…We aimed (i) to characterize the nutrient contents of healthy plants of three blueberry varieties adapted to warm climates (Emerald, Jewel, and Biloxi) using a reference method for foliar analysis (inductively coupled plasma (ICP)) and a portable X-ray fluorescence (pXRF) spectrometer on fresh and dry leaves and (ii) to differentiate blueberry varieties based on their nutrient composition. …”
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Creatine supplementation protocols with or without training interventions on body composition: a GRADE-assessed systematic review and dose-response meta-analysis by Fereshteh Pashayee-Khamene, Zeinab Heidari, Omid Asbaghi, Damoon Ashtary-Larky, Kian Goudarzi, Scott C Forbes, Darren G. Candow, Reza Bagheri, Matin Ghanavati, Fred Dutheil

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Analysis of Polarized Dust Emission Using Data from the First Flight of SPIDER by P. A. R. Ade, M. Amiri, S. J. Benton, A. S. Bergman, R. Bihary, J. J. Bock, J. R. Bond, J. A. Bonetti, S. A. Bryan, H. C. Chiang, C. R. Contaldi, O. Doré, A. J. Duivenvoorden, H. K. Eriksen, J. P. Filippini, A. A. Fraisse, K. Freese, M. Galloway, A. E. Gambrel, N. N. Gandilo, K. Ganga, S. Gourapura, R. Gualtieri, J. E. Gudmundsson, M. Halpern, J. Hartley, M. Hasselfield, G. Hilton, W. Holmes, V. V. Hristov, Z. Huang, K. D. Irwin, W. C. Jones, A. Karakci, C. L. Kuo, Z. D. Kermish, J. S.-Y. Leung, S. Li, D. S. Y. Mak, P. V. Mason, K. Megerian, L. Moncelsi, T. A. Morford, J. M. Nagy, C. B. Netterfield, M. Nolta, R. O’Brient, B. Osherson, I. L. Padilla, B. Racine, A. S. Rahlin, C. Reintsema, J. E. Ruhl, M. C. Runyan, T. M. Ruud, J. A. Shariff, E. C. Shaw, C. Shiu, J. D. Soler, X. Song, A. Trangsrud, C. Tucker, R. S. Tucker, A. D. Turner, J. F. van der List, A. C. Weber, I. K. Wehus, D. V. Wiebe, E. Y. Young, Spider Collaboration

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