CT‐Based Body Composition and Frailty as Predictors of Survival Among Older Adults With Gastrointestinal Malignancies by Smith Giri, Christian Harmon, Daniel Hess, Elizabeth M. Cespedes Feliciano, Ijeamaka Anyene Fumagalli, Bette Caan, Leon Lenchik, Karteek Popuri, Vincent Chow, Mirza Faisal Beg, Smita Bhatia, Grant R. Williams

“…The addition of body composition variables to baseline clinico‐demographic variables and frailty led to a slightly improved model discrimination. …”
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Machine learning optimization of environmental factors influencing biomass and nutritional composition in local algal species by Aisha Khan, Saleem Ullah, Rifat Ali, Mahwish Rehman, Said Moshawih, Khang Wen Goh, Long Chiau Ming, Lai Ti Gew

“…Machine learning was applied to optimize environmental conditions, with random forest (RF) identified as the most effective model. A novel metric, W_new, combining performance and error metrics, facilitated robust model evaluation and hyperparameter tuning. …”
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Fluid-Structure Interaction of Vibrating Composite Piezoelectric Plates Using Exponential Shear Deformation Theory by Korosh Khorshidi, Mahdi Karimi

“…After deriving the governing equations applying Hamilton’s principle, the natural frequencies of the fluid-structure system with simply supported boundary conditions are computed using the Galerkin method. The model is compared to the available results in the literature, and consequently the effects of different variables such as depth of fluid, the width of fluid, plate thickness, and aspect ratio on natural frequencies and mode shapes are displayed.…”
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Assessment of Melon Fruit Nutritional Composition Using VIS/NIR/SWIR Spectroscopy Coupled with Chemometrics by Dimitrios S. Kasampalis, Pavlos Tsouvaltzis, Anastasios S. Siomos

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Mechanical assessment for enhancing hybrid composite performance through silane treatment using RSM and ANN by S. Jothi Arunachalam, R. Saravanan, T. Sathish, Jayant Giri, Mohammad Kanan

“…RSM and Analysis of Variance (ANOVA) were applied to explore the relationships between these variables and their effects on composite properties. …”
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White Coat: Origins, Composition, Semantics, Pragmatics, and Word-Formation Potential of Russian Phraseological Unit by T. V. Leontyeva

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Analytical investigation on resolution calculation method for nonlinear temperature load of steel-concrete composite girders by Chun-Ming Zhang, Wei-Hong Wu, Wei Xian, Wei Xian

“…The analysis encompasses temperature-induced self-restraint stresses, secondary stresses, and axial deformation in variable-section continuous composite girders. Key findings reveal that code-specified thermal stresses exhibit opposing polarity characteristics at specific locations compared to other models. …”
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Learning compositional sequences with multiple time scales through a hierarchical network of spiking neurons. by Amadeus Maes, Mauricio Barahona, Claudia Clopath

“…The hierarchical model redistributes the variability: it achieves high motif fidelity at the cost of higher variability in the between-motif timings.…”
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Determination of The Mineral Composition of Foam-Mat Dried Ngu Powder Using Response Surface Methodology by Maduebibisi Ofo Iwe, Emmanuel Uduma, Anna Ngozi Agiriga

“…Regression models showed that the experimental variables had significant (p<0.05) effects on the dry Ngu powder's iron, zinc, calcium, sodium, phosphorus, potassium, and magnesium contents. …”
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Correlations Between Body Composition Indicators and Performance in Sprint and Agility Tests Among Handball Referees by Ștefan CIOBANU, Beatrice Aurelia ABALAȘEI

“…Objectives: This study aimed to investigate the correlations and regression models between body composition variables and performance in sprint and agility tests among handball referees. …”
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Dynamic changes in AI-based analysis of endometrial cellular composition: Analysis of PCOS and RIF endometrium by Seungbaek Lee, Riikka K. Arffman, Elina K. Komsi, Outi Lindgren, Janette Kemppainen, Keiu Kask, Merli Saare, Andres Salumets, Terhi T. Piltonen

“…Additionally, current methods for measuring the epithelial and stromal area have limitations, including intra- and inter-observer variability and efficiency. Methods: We utilized a deep-learning artificial intelligence (AI) model, created on a cloud-based platform and developed in our previous study. …”
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Body composition is associated with changes in health-related quality of life in patients with knee and/or hip osteoarthritis by Jérémie Sellam, Francis Guillemin, Bernard Mazières, Anne-Christine Rat, Patrice Fardellone, Willy Ngueyon Sime

“…Body composition variables were fat mass index (FMI (kg/m²)), percentage of fat mass, trunk to leg fat mass ratio (TFM/LFM) and skeletal muscle mass index (SMI (kg/m²)). …”
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The Association of Body Composition and Musculoskeletal Characteristics with Police Recruit Performance: A Cross-Sectional Study by Vanessa R. Sutton, Myles C. Murphy, Callum J. McCaskie, Paola T. Chivers, Nicolas H. Hart, Jodie L. Cochrane Wilkie, Garth Allen, Jack Dalla Via

“…Tactical performance was measured with a Physical Performance Evaluation, and cardiorespiratory fitness assessed using the Beep Test. Variables that were significant in univariate regressions progressed to generalised linear models, assessing relationships between measures and performance outcomes. …”
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Radiomic‐based biomarkers: Transforming age and body composition metrics into personalized age‐informed indices by Radin Alikhani, Steven R. Horbal, Amy E. Rothberg, Manjunath P. Pai

“…Since the conventional models of kidney function are correlated with age and body composition, the radiomic biomarkers representing age‐related changes in body composition may also serve as potential new imaging biomarkers of kidney function for personalized dosing. …”
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Association between myosteatosis or sarcopenia based on abdominal CT and hypertension in systemic lupus erythematosus patients by Bowen Wang, Liping Zuo, Jinlei Fan, Wei Zhao, Yueming An, Wangshu Cai, Dexin Yu

“…Methods This was a retrospective study involving SLE patients enrolled from January 2017 to August 2023 and who underwent abdominal CT at the L3 level to track myosteatosis and sarcopenia based on the skeletal muscle mean radiodensity (SMD) and skeletal muscle index considered as binary and continuous variables. The association between these body composition measures and hypertension was tested using logistic regression analyses, while mediation modeling was used to assess the mediators. …”
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Temporal Dynamics of Species Richness and Composition in a Peri‐Urban Tropical Frog Community in Central Brazil by Marcos R. Severgnini, Mônica M. deOliveira, Luciana M. Valério, Diogo B. Provete

“…To test the effect of weather variables on species richness and abundance, we used Generalized Additive Mixed‐effects Models. …”
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Body fat percentage is a key factor in elevated plasma levels of caffeine and its metabolite in women by Przemysław Domaszewski, Mariusz Konieczny, Paweł Pakosz, Jakub Matuska, Anna Poliwoda, Elżbieta Skorupska, Manel Santafe

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Body size, richness, and abundance of Staphylinidae unaffected by landscape composition and cropping system in a push–pull maize system in Kenya by Nina Garcia Devine, Tim Luttermoser, Katja Poveda

“…Research shows that increasing agricultural area at the landscape scale can have variable effects on functional traits such as body size in predators. …”
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Experimental Study on Fatigue Performance of Composite Box Girder With Steel Bottom Plate and Corrugated Steel Webs by Shijin Wang, Genhui Wang, Jiang Fan, Zichen Zhang

“…In order to study the fatigue performance and fatigue failure mode of the composite box girder with steel bottom plate and corrugated webs (SBCSWs), the model beam was made and the constant and variable amplitude fatigue experiment were performed. …”
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Body composition of metabolically unhealthy normal-weight patients with aortic stenosis: a prospective cohort study by Shuangxiang Lin, Chenjia Liu, Xingfa Ding, Shuyue Wang, Jiaxing Wu, Xinhong Wang, Jianzhong Sun

“…Logistic regression was used to explore the relationships between variables and outcomes, and Cox regression models were applied to examine the effects of different parameters on patient prognosis. …”
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