Computational Analysis of the Structural Composition of Coronavirus Genomes by M. V. Sprindzuk, V. I. Bernik, A. S. Vladyko, L. Zhuozhuang, L. P. Titov

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Comparison of the results of the assessment of physical development with the data of the bioimpedance study of the body composition of secondary school students by I. E. Shtina, S. L. Valina, O. Yu. Ustinova

“…The assessment of physical development by the value of BMI SDS correlates with data on the body component composition. Bioimpedance analysis of body composition can be recommended as an additional method for assessing the nutritional status of children and adolescents.…”
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Cross-sectional associations between physical activity and sedentary time with cardiovascular health in children from the ALSPAC study using compositional data analysis by K. M. Sansum, B. Bond, R. M. Pulsford, A. McManus, A. O. Agbaje, A. M. Skinner, A. R. Barker

“…Abstract This study adopted a compositional framework to cross-sectionally examine the associations between physical activity (PA) and sedentary time (ST) with vascular structure and function and clustered cardiovascular disease (CVD) risk factors in 4277 children (2,226 girls), aged 10.6±0.2 years. …”
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Analyzing microbiome data with taxonomic misclassification using a zero-inflated Dirichlet-multinomial model by Matthew D. Koslovsky

“…It is therefore essential to treat microbial samples as compositional. Another complicating factor of modeling microbiome data is that taxa counts are subject to measurement error introduced at various stages of the measurement protocol. …”
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Associations between 24-hour movement compositions and cardiometabolic health in children and adolescents: a five-part compositional analysis using data from the International Children’s Accelerometery Database (ICAD) by Russell R Pate, John J Reilly, Kate Northstone, EMF van Sluijs, Russ Jago, Niels Wedderkopp, R Davey, Luis B Sardinha, Jardena Puder, J Reilly, K Northstone, LB Andersen, S Kriemler, R Jago, J Salmon, G Cardon, Pedro Curi Hallal, Adam Runacres, Zoe A Marshall, Soyang Kwon, Ester Van Slujis, S Anderssen, P Hallal, S Kwon, N Møller, R Pate, JJ Puder, LB Sardinha

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Coconut: covariate-assisted composite null hypothesis testing with applications to replicability analysis of high-throughput experimental data by Yan Li, Yanmei Li, Han Ma, Zitong Yue, Xin Zhang

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Comparative Analysis of Airborne Bacterial and Fungal Communities in South-Eastern Italy and in Albania Using the Compositional Analysis of 16S and ITS rRNA Gene Sequencing Dataset... by Salvatore Romano, Lekë Pepkolaj, Mattia Fragola, Dalila Peccarrisi, Jostina Dhimitri, Alessandro Buccolieri, Adelfia Talà, Pietro Alifano, Gianluca Quarta, Lucio Calcagnile

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NDEExplorer: Visual Analytics for Exploring Damage Modes via Multimodal Data in the Non-Destructive Examination of Composite Materials by Dongliang Guo, Lisha Zhou, Xingfa Luo

“…The system supports the use of two NDE methods, Acoustic Emission (AE) and Digital Image Correlation (DIC), providing interactive and intuitive views for observing composite material damage features. In addition, the system features a fusion analysis approach and a view that combines AE and DIC methods, enabling users to explore the correlations and trends in multimodal data generated during the material damage process. …”
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Composite quantile regression approach to batch effect correction in microbiome data by Jiwon Park, Taesung Park

“…The model is applied to three real microbiome datasets: Metagenomic urine control data, Human Immunodeficiency Virus Re-analysis Consortium data, and Men and Women Offering Understanding of Throat HPV study data. …”
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Data-driven Oxidation Kinetic Model Construction of Silicon Carbide Composites by Xiao Manyu, Zheng Wenqing, Luan Xingang, Xu Xinming

“…However, the material's inherent inhomogeneity, nonlinearity, anisotropy, and diverse failure modes make the damage and failure mechanisms of SiCf/SiC composites highly complex. This research integrates experimental methods with intelligent data analysis techniques to accurately characterize and predict the oxidation behavior and mechanical property evolution of SiCf/SiC composites under complex service conditions. …”
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Experimental and theoretical study of used GFRP I-profile composite columns by Ata El-Kariem Shoeib, Mohammed Salem, Alaa Sheriff, Mohammed Abdel-Rahman M. Khalil

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Statistical Evaluation of Uniform Temperature and Thermal Gradients for Composite Girder of Tibet Region Using Meteorological Data by Yujuan Liu, Zhiyuan Ma, Jiang Liu

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Big data-based reference centiles for body composition in Korean children and adolescents: a cross-sectional study by Dohyun Chun, Seo Jung Kim, Junghwan Suh, Jihun Kim

“…Conclusions This study produced age- and sex-specific reference percentiles for body composition indices in Korean children and adolescents using extensive biometric data.…”
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Detailed Compositional and Structure–Property Analysis of Ethylene Oxide‐Propylene Oxide Triblock Copolymers by Gergő Róth, Tibor Nagy, Ákos Kuki, Levente Novák, Dávid Nyul, Miklós Zsuga, Sándor Kéki

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Structure dependent optical and conductive properties of HPMC:CoCl2 composites: A functional data analysis study by Gowtham G K, Thejas G. Urs

“…Alongside experimental evidence, we employ a robust calculation method using functional data analysis to draw clear relationships among the parameters under study, further emphasizing the scientific rigor and significance of our findings.…”
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Analysis the Composition of Hydraulic Radial Force on Centrifugal Pump Impeller: A Data-Centric Approach Based on CFD Datasets by Hehui Zhang, Kang Li, Ting Liu, Yichu Liu, Jianxin Hu, Qingsong Zuo, Liangxing Jiang

“…A high-precision CFD simulation on a six-blade end-suction centrifugal pump generated a comprehensive hydraulic load dataset. Data analysis methods included exploratory data analysis (EDA) to uncover patterns and trigonometric function fitting to model force variations accurately. …”
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AI-based body composition analysis of CT data has the potential to predict disease course in patients with multiple myeloma by Franz Wegner, Malte Maria Sieren, Hanna Grasshoff, Lennart Berkel, Christoph Rowold, Marcel Philipp Röttgerding, Soleiman Khalil, Sam Mogadas, Felix Nensa, René Hosch, Gabriela Riemekasten, Anna Franziska Hamm, Nikolas von Bubnoff, Jörg Barkhausen, Roman Kloeckner, Cyrus Khandanpour, Theo Leitner

“…Abstract The aim of this study was to evaluate the benefit of a volumetric AI-based body composition analysis (BCA) algorithm in multiple myeloma (MM). …”
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A Generalized Composition Approach in Network Data Envelopment Analysis for Complex Structures: An Application of Higher Education Institutions in Poland by Dimitrios Sotiros, Gregory Koronakos, Julia Żołądkiewicz

“…We present in this paper the pitfalls of the most established approach in Network Data Envelopment Analysis for units with a~parallel internal structure. …”
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Impact of fresh and fermented vegetable consumption on gut microbiota and body composition: insights from diverse data analysis approaches by Susan Pihelgas, Susan Pihelgas, Kristel Ehala-Aleksejev, Mari-Liis Kutti, Rain Kuldjärv, Jekaterina Kazantseva

“…In addition to microbiota analysis, we assessed anthropometric parameters, stool frequency, and data from nutritional diaries. …”
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Olympic Italian Female Water Polo Players: Analysis of Body Size and Body Composition Data over 20 Years by Giovanni Melchiorri, Marco Bonifazi, Maria Rosaria Squeo, Raffaella Spada, Virginia Tancredi, Valerio Viero

“…The athletes’ Body Composition (BC) was assessed using bioelectrical impedance analysis (BIA). …”
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