Unlocking chickpea flour potential: AI-powered prediction for quality assessment and compositional characterisation by Ali Zia, Muhammad Husnain, Sally Buck, Jonathan Richetti, Elizabeth Hulm, Jean-Philippe Ral, Vivien Rolland, Xavier Sirault

“…However, the inherent variability in the composition of chickpea flour, influenced by genetic diversity, environmental conditions, and processing techniques, poses significant challenges to standardisation and quality control. …”
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Machine learning prediction of metabolic dysfunction-associated fatty liver disease risk in American adults using body composition: explainable analysis based on SHapley Additive e... by Yan Hong, Xinrong Chen, Ling Wang, Fan Zhang, ZiYing Zeng, Weining Xie

“…This study aimed to develop and validate machine learning (ML) models for predicting MAFLD using detailed body composition metrics and to explore the relative contributions of adipose tissue features through explainable ML techniques.MethodsData from the 2017–2018 National Health and Nutrition Examination Survey (NHANES) were used to construct predictive models based on anthropometric, demographic, lifestyle, and clinical variables. …”
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Fish fauna and its environmental relationship in an endorheic basin of Zacatecas, Mexico by Fernando Solís-Carlos, Gorgonio Ruiz-Campos, María de Lourdes Lozano-Vilano, Juana Claudia Leyva-Aguilera

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Effective Mechanical Properties of a Composite Material Reinforced by Oil Shale Ash Particles by Olga Kononova, Andrejs Krasnikovs, Ilgar Jafarli, Iveta Novakova, Volodymyr Gulik, Mindaugas Vaišnoras

“…This study determined the elastic properties of composites and concretes reinforced with oil shale ash (OSA) particles, a byproduct of oil shale combustion in an electric power plant in Estonia (Auvere). …”
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Methodology for Developing a Composite Social Development Index (CSDI): Essential Decisions and Results by Mehdi Mobaraki, Zohre Shahbazi, Najme Mostafavi

“…However, measuring complex social issues, such as social development with their various dimensions and dispersed information as a single variable poses significant challenges. As a result, composite indicators are typically employed. …”
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Spectral optical properties of soot: laboratory investigation of propane flame particles and their link to composition by J. Heuser, C. Di Biagio, J. Yon, M. Cazaunau, A. Bergé, A. Bergé, E. Pangui, M. Zanatta, M. Zanatta, L. Renzi, A. Marinoni, S. Inomata, C. Yu, V. Bernardoni, S. Chevaillier, D. Ferry, P. Laj, P. Laj, M. Maillé, D. Massabò, D. Massabò, F. Mazzei, F. Mazzei, G. Noyalet, H. Tanimoto, B. Temime-Roussel, R. Vecchi, V. Vernocchi, P. Formenti, B. Picquet-Varrault, J.-F. Doussin

“…The established relationship can provide a useful parameterisation for models to estimate the absorption from combustion aerosols and their BC and BrC contributions.…”
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Continental Orientation and the Climate of Land-dominated, Arid Planets by Donald M. Glaser, Igor Aleinov, Anthony Leboissetier, M. J. Way

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Multivariate Data Analysis to Assess Process Evolution and Systematic Root Causes Investigation in Tablet Manufacturing at an Industrial Scale—A Case Study Focused on Improving Tab... by Rita Mathe, Tibor Casian, Ioan Tomuta

“…The purpose of this work was to identify the root causes for the low and variable hardness of core tablets prepared using high-shear wet granulation through batch statistical modeling and to verify the short- and long-term effectiveness of the improvement actions. …”
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EFFECT OF BIOFERTILIZATION OF NOPAL VEGETABLE CROPS (Opuntia ficus-indica) ON PHYSICOCHEMICAL, PHYTOCHEMICAL AND MORPHOLOGICAL VARIABLES AND ITS RELATIONSHIP WITH BIOMASS PRODUCTIO... by Ruy Ortiz-Rodriguez, Manuel Galvan-Aguilar, Manuel Lopez-Rodriguez, Rosa Elena Pérez Sánchez, Alfonso Luna-Cruz, Gerardo Ordaz-Ocho

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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

“…Similarly, the BMI data for men aged 40-60 indicated notable variability in body composition, consistent with the findings for men aged 61-80. …”
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Inverse Association of Longitudinal Variations in Fat Tissue Radiodensity and Area by Giulia Besutti, Marta Ottone, Efrem Bonelli, Simone Canovi, Roberto Farì, Francesco Farioli, Annarita Pecchi, Guido Ligabue, Massimo Pellegrini, Pierpaolo Pattacini, Paolo Giorgi Rossi

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Low-noise optimization design for underwater series-connected multi-sphere composite shell structure by Hefan LI, Guanjun ZHANG, Yuzhao KE

“…The radial basis function (RBF) neural network was used to establish a multidimensional mapping model between the design variables and the optimization objective. …”
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Association between Serum Uric Acid Levels and Sleep Variables: Results from the National Health and Nutrition Survey 2005–2008 by R. Constance Wiener, Anoop Shankar

“…We found that snoring more than 5 nights per week, daytime sleepiness, and an additive composite score of sleep variables were associated with high serum uric acid in the age- , sex-adjusted model and in a multivariable model adjusting for demographic and lifestyle/behavioral risk factors. …”
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PROBABILITY ANALYSIS ON LAST PLY FAILURE OF COMPOSITE LAMINATES BASED ON UNIVERSAL GENERATING FUNCTION METHOD by LIU ChengLong, ZHOU JinYu, QIU Rui, ZHUANG BaiLiang, HU Jian

“…The reliability of composite laminates is analyzed by universal generating function method. …”
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Analysis of Control Characteristics and Design of Control System Based on Internal Parameters in Doubly Fed Variable-Speed Pumped Storage Unit by Guopeng Zhao, Yongxin Zhang, Jiyun Ren

“…The composition of doubly fed variable-speed pumped storage unit is introduced, and the mathematical model of every component is proposed. …”
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Theoretical and computational investigations on estimation of viscosity of ionic liquids for green adsorbent: Effect of temperature and composition by Zhaoxiong Han

“…The dataset comprises categorical information on Cation and Anion, along with numeric variables T(K) and xIL (mol%), serving as inputs for the models, while Viscosity (Pa.s) represents the output variable. …”
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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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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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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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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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