3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology by Isaac Y. Tian, Jason Liu, Michael C. Wong, Nisa N. Kelly, Yong E. Liu, Andrea K. Garber, Steven B. Heymsfield, Brian Curless, John A. Shepherd

“…All coefficients of determination (R 2) for all predicted variables were above 0.86 and achieved lower estimation RMSEs than all previous work on 10 metrics of body composition.…”
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Digital twin-driven design and testing of laser shock processed aluminum-graphene composites for spacecraft docking tribology. by Hosamane Guruswamy Prashantha Kumar, Praveen Kumar Kanti, Dinesh Dishana, Pratik Shukla, Prabhu Paramasivam, Leliso Hobicho Dabelo

“…The constructed Python-based digital twin model employed multi-variable regression analysis for 30 experimental trials yielding an R² value of 0.91 and an RMSE value of 0.026 mm³/N·m. …”
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SO₂ emissions derived from TROPOMI observations over India using a flux-divergence method with variable lifetimes by Y. Chen, Y. Chen, R. J. van der A, J. Ding, H. Eskes, J. E. Williams, N. Theys, A. Tsikerdekis, P. F. Levelt, P. F. Levelt, P. F. Levelt

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Diurnal temperature range drives understory plant community composition in micro-climatically complex temperate montane forests by Adam L Mahood, David M Barnard, Jacob A Macdonald, David W Pittenger, Sarah M Hall, Paula J Fornwalt

“…We studied the seasonal stability of DTR and its effects on fine-scale variation in plant community composition, and used topographic metrics to create spatial models of DTR. …”
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Gut-brain-liver axis in growth hormone deficiency: role of microbiota-derived short-chain fatty acids in ethnic variability and therapeutic development by Dongming Meng, Wei Kong, Sai Cheng, Hua Liu, Congfu Huang

“…This review synthesizes preclinical and clinical data to address ethnic variability in microbiota composition and therapeutic challenges. …”
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Exploring the Influence of Pottery Jar Formula Variables on Flavor Substances Through Feature Ranking and Machine Learning: Case Study of Maotai-Flavored Baijiu by Haili Yang, Xinjun Hu, Jianpin Tian, Liangliang Xie, Manjiao Chen, Dan Huang

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Development of a General Composite Scale (GENCOMS) for Progressive Neurodegenerative Diseases and Implications for the Assessment of Disease-Modifying Therapies by Samuel P. Dickson, Craig H. Mallinckrodt, Basia Rogula, Lauren C. Powell, Michele H. Potashman, Vladimir Coric, Gilbert J. L’Italien, Suzanne B. Hendrix

“…A partial least squares regression analysis was conducted with temporal change as the dependent variable and change scores in standardized items as the explanatory variables. …”
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Application of artificial neural network in deoxygenation of water by glucoseoxidase immobilized in calcium alginate/MnO2 composite by A. Abdi, M.Sh Izadkhah, A. Karimi, M. Razzaghi, H. Moradkhani

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Alteration of the gut microbiota’s composition and metabolic output correlates with COVID-19-like severity in obese NASH hamsters by Valentin Sencio, Nicolas Benech, Cyril Robil, Lucie Deruyter, Séverine Heumel, Arnaud Machelart, Thierry Sulpice, Antonin Lamazière, Corinne Grangette, François Briand, Harry Sokol, François Trottein

“…To this end, we set up a nutritional model of obesity with dyslipidemia and NASH in the golden hamster, a relevant preclinical model of COVID-19. …”
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Fine scale prediction of ecological community composition using a two-step sequential Machine Learning ensemble. by Icíar Civantos-Gómez, Javier García-Algarra, David García-Callejas, Javier Galeano, Oscar Godoy, Ignasi Bartomeus

“…This result suggests that predicting future abundances requires longer time series analysis to capture enough variability. In addition, we show that these data-driven models can also suggest how to improve mechanistic models by adding missing variables that affect species performance such as particular soil conditions (e.g. carbonate availability in our case). …”
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Effect of titanium dioxide (Tio2) nanoparticles on the wear rate of marine journal bearings made of composite materials by Suadad Noori Ghani, Ali Sadiq Alithari, Hala Salman Hasan

“…To support the results, a statistical regression analysis was conducted, revealing a strong and significant relationship between the variables. The coefficient of determination (R²) was 0.974, indicating that the model explained 97.4 % of the variance in the data. …”
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Body composition versus body fat percentage as predictors of posture/balance control mobility and stability among football players under 21 years by Mohammed Zerf

“…They were tested by saving tests (Body Fat Percentage (BFP) -Abdominal test (Abdo) - Modified Bass Test of Dynamic Balance (DB) and standing balance (SB)). As a statistical model, we chose regression analysis to predict the superiority of the variables chosen in the current study. …”
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Body composition parameters in initial CT imaging of mechanically ventilated trauma patients: Single‐centre observational study by Hans‐Jonas Meyer, Tihomir Dermendzhiev, Michael Hetz, Georg Osterhoff, Christian Kleber, Timm Denecke, Jeanette Henkelmann, Robert Werdehausen, Gunther Hempel, Manuel F. Struck

“…The analysis included CT‐derived body composition parameters based upon whole‐body trauma CT as prognostic variables for 30‐day mortality, intensive care unit length of stay (ICU LOS) and mechanical ventilation duration. …”
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Effects of soil water on fungal community composition along elevational gradients on the northern slope of the Central Kunlun Mountains by Yongguang Zhang, Yongguang Zhang, Chaonan Li, Zhihao Zhang, Chenhong Li, Bo Zhang, Hongchen Jiang, Waqar Islam, Xiangzhen Li, Fanjiang Zeng

“…Partial least squares path modeling (PLSPM) analysis revealed that soil water content (Wat) was the most influential factor driving fungal α-diversity, while vegetation coverage (Veg) emerged as the primary determinant of soil fungal community composition. …”
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Body weight optimization of broiler breeder hens. 1. Pullet growth, feed efficiency, carcass composition, and sexual maturation by Thiago L. Noetzold, Etseoghena A. Obi, Bryan Fancher, Marcelo Silva, Alan Thomson, Martin J. Zuidhof

“…Two-hundred-eighty-eight Ross 308 pullets were randomly assigned to the twelve BW growth trajectories and fed using a precision feeding system from 0 to 28 wk of age. Body composition variables were submitted to three-way ANOVA, with EG, I2, and age as fixed sources of variation. …”
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The role of body composition, cardiometabolic parameters, and resting substrate oxidation in protecting against metabolic syndrome in adolescents with obesity by Mattia D’Alleva, Mattia D’Alleva, Stefano Lazzer, Stefano Lazzer, Maria De Martino, Lara Mari, Lara Mari, Enrico Rejc, Enrico Rejc, Simone Zaccaron, Simone Zaccaron, Simone Zaccaron, Jacopo Stafuzza, Jacopo Stafuzza, Miriam Isola, Adele Bondesan, Diana Caroli, Francesca Frigerio, Laura Abbruzzese, Enrica Ventura, Alessandro Sartorio

“…These findings underscore the importance of incorporating metabolic and body composition variables into MetS risk models and support the promotion of targeted interventions, such as endurance and resistance training, to address modifiable risk factors and reduce the likelihood of developing MetS.…”
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Dietary vitamin D intake and changes in body composition over three years in older adults with metabolic syndrome by Héctor Vázquez-Lorente, Jiaqi Ni, Nancy Babio, Ana García-Arellano, Dora Romaguera, J. Alfredo Martínez, Ramon Estruch, Vicente Martín Sánchez, Josep Vidal, Montserrat Fitó, Maira Bes-Rastrollo, Jadwiga Konieczna, Diego Martinez-Urbistondo, Rosa Casas, Marcos García-Fernández, Romina Paula Olbeyra, Alice Chaplin, M. Angeles Zulet, Jordi Salas-Salvadó

“…Measurements: Multivariable-adjusted mixed-effects linear regression models were fitted to investigate the longitudinal associations between dietary vitamin D intake (exposure) and body composition (outcome) with available data at baseline, one, and three years of follow-up. …”
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Elevation shapes tree composition, structure and diversity more than soil properties in the Annapurna Conservation Area, Nepal by Bimal Kumar Yadav, Kishor Prasad Bhatta, Santosh Ayer, Prakash Basnet, Nabin Dhakal, Suraj Sharma, Rabin Kadariya, Shes Kanta Bhandari

“…We used generalized additive modeling (GAM) to capture nonlinear patterns in tree diversity and structural attributes across the elevation gradient, and structural equation modeling (SEM) to disentangle the direct and indirect relationships among soil, environmental, and tree variables. …”
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Congo Basin Water Balance and Terrestrial Fluxes Inferred From Satellite Observations of the Isotopic Composition of Water Vapor by Sarah Worden, A. Anthony Bloom, John Worden, Paul Levine, Mingjie Shi, Rong Fu

“…We use observations of the isotopic composition of water vapor to quantify the spatio‐temporal variability of net surface water fluxes across the Congo Basin between 2003 and 2018. …”
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Composite dietary antioxidant index mediates the effect of epilepsy on psychiatric disorders: results from NHANES 2013–2018 by Xingyan He, Xingyan He, Zhiling Li, Haotian Wu, Haotian Wu, Lifen Wang, Yuxin Zhang

“…In this study, the t-test and chi-square tests or one-way analysis of variance (ANOVA) were employed for the analysis of continuous and categorical variables, respectively. Restricted cubic splines (RCSs) with four knots were employed to investigate the linear relationship and trend between the Composite Dietary Antioxidant Index (CDAI) and epilepsy and psychiatric disorders, respectively. …”
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