Fuzzy modeling using the similarity-based approximate reasoning system by Jalal Chachi, Mehdi Jalalvand

“…One is the representation of implication relation and two is the composition of a fuzzy implication relation with an observed system fact. …”
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Application of generalized additive models to explore minerals in sheep milk by Stefano Biffani, Michela Ablondi, Claudio Cipolat-Gotet, Andrea Summer, Elena Mariani, Johanna Ramírez-Díaz, Alessio Negro, Alessandro Lotto, Giorgia Stocco

“…ABSTRACT: This study explores the complex relationships among ovine milk minerals (Ca, P, Na, K, Mg, K, Cl, respectively) and different factors employing generalized additive mixed models (GAMM). The GAMM included milk yield (MY), parity, and breed as parametric terms, and casein, fat, lactose, pH, SCS, DIM, and sampling day as smooth functions. …”
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The Establishment of a High-Moisture Corn Ear Model Based on the Discrete Element Method and the Calibration of Bonding Parameters by Chunrong Li, Zhounan Liu, Ligang Geng, Tianyue Xu, Weizhi Feng, Min Liu, Da Qiao, Yang Wang, Jingli Wang

“…Finally, the reliability of the model was partially validated through shear testing; however, potential confounding variables remain unaccounted for in the experimental analysis. …”
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Non-Isothermal Process of Liquid Transfer Molding: Transient 3D Simulations of Fluid Flow Through a Porous Preform Including a Sink Term by João V. N. Sousa, João M. P. Q. Delgado, Ricardo S. Gomez, Hortência L. F. Magalhães, Felipe S. Lima, Glauco R. F. Brito, Railson M. N. Alves, Fernando F. Vieira, Márcia R. Luiz, Ivonete B. Santos, Stephane K. B. M. Silva, Antonio G. B. Lima

“…The proposed mathematical modeling considers the radial, three-dimensional, and transient flow, variable injection pressure, and fluid viscosity, including the effect of liquid fluid absorption by the reinforcement (fiber). …”
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Association of composite dietary antioxidant index and endometriosis risk in reproductive—age women: a cross-sectional study using big data-machine learning approach by Wenxin Chen, Kui Xiao, Chenyu Zhou, Jiajia Cheng, Zixuan Zeng, Fang Zhang

“…To investigate the relationship between the CDAI and the EM, a variety of statistical techniques were employed, including a weighted multiple logistic regression model, smooth curve fitting, machine learning analysis, and subgroup analyses.ResultsAfter controlling for potential confounding variables, the results indicated an inverse relationship between CDAI and EM (OR = 0.92, 95% CI 0.86–0.98, p = 0.011). …”
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Geographic Distribution Pattern Determines Soil Microbial Community Assembly Process in <i>Acanthopanax senticosus</i> Rhizosphere Soil by Mingyu Wang, Xiangyu Xing, Youjia Zhang, Xin Sui, Chunying Zheng

“…Key microbial taxa contributing to community variability were identified through Random Forest modeling, with <i>Bacteriap25</i> and <i>Sutterellaceae</i> standing out among bacteria, and <i>Archaeorhizomyces</i> and <i>Clavaria</i> among fungi. …”
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Battery Housing for Electric Vehicles, a Durability Assessment Review by Moises Jimenez-Martinez, José Luis Valencia-Sánchez, Sergio G. Torres-Cedillo, Jacinto Cortés-Pérez

“…These models, which include performance degradation, progressive damage, and S–N curve models, are essential for ensuring the reliability of composite materials. …”
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Optimization of process variables viz., temperature and time for vacuum concentration of pitahaya (Hylocereus polyrhizus) fruit juice, its effect on total soluble solids, water act... by M. X. Rosemary, G. J. Suresh, R. Venugopalan, K. R. Vasudeva, G. K. Sadananda, G. Karunakaran, G. S. K. Swamy

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Composition of peripheral blood immune cell compartment in stage 5 chronic kidney disease is affected by smoking and other risk factors associated with systemic inflammatory respon... by Ivan Zahradka, Filip Tichanek, Lucia Majercikova, Jana Duskova, Mathias Streitz, Stephan Schlickeiser, Stephan Schlickeiser, Klara Osickova, Vojtech Petr, Petra Hruba, Petra Reinke, Ondrej Viklicky, Ondrej Viklicky

“…Variables that significantly affected immune cell composition were then included in a subsequent series of Poisson regression models, assessing predictors influence on the counts of individual immune cell subpopulations.ResultsCompared to healthy controls, CKD5 patients presented with B cell lymphopenia across all measured subsets except for plasmablasts, T cell lymphopenia with an immunosenescent phenotype predominantly in the CD4+ compartment, and significantly higher counts of LIN-HLA-DR+ antigen-presenting cells, mainly due to an increase in myeloid dendritic cell subpopulations. …”
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Enhancing fracture risk indication: The impact of bone load index and muscle fat infiltration on vertebral compression fracture by Xiao-Yue Jiang, Zhi-Yang Tang, Bo-Wen Liu, Si-Yuan Lu, Dong-Gang Pan, Hui Jiang, Xiu-Hong Shan

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Classificação da composição iônica da água de irrigação usando regressão linear múltipla Classification of the ionic composition of the irrigation water using multiple linear regre... by Celsemy E. Maia, Elís R.C. de Morais, Maurício de Oliveira

“…A Stepwise Regression Analysis model was tested, using electrical conductivity as the dependent variable and analyzed ions calcium, sodium, potassium, carbonate, bicarbonate and chlorides as the independent variables in all tested models. …”
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Lasso Model-Based Optimization of CNC/CNF/rGO Nanocomposites by Ghazaleh Ramezani, Ixchel Ocampo Silva, Ion Stiharu, Theo G. M. van de Ven, Vahe Nerguizian

“…A LASSO model was also implemented to analyze variable impacts on material properties. …”
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Finite Element Modeling for Buckling Analysis of Tapered Axially Functionally Graded Timoshenko Beam on Elastic Foundation by Masoumeh Soltani

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PDX models recapitulate the genetic and epigenetic landscape of pediatric T‐cell leukemia by Paulina Richter‐Pechańska, Joachim B Kunz, Beat Bornhauser, Caroline von Knebel Doeberitz, Tobias Rausch, Büşra Erarslan‐Uysal, Yassen Assenov, Viktoras Frismantas, Blerim Marovca, Sebastian M Waszak, Martin Zimmermann, Julia Seemann, Margit Happich, Martin Stanulla, Martin Schrappe, Gunnar Cario, Gabriele Escherich, Kseniya Bakharevich, Renate Kirschner‐Schwabe, Cornelia Eckert, Martina U Muckenthaler, Jan O Korbel, Jean‐Pierre Bourquin, Andreas E Kulozik

“…The longitudinal approach of this study allowed an observation that samples collected from patients who developed a type 1 relapse (clonal mutations maintained at relapse) preserved their genomic composition; whereas in patients who developed a type 2 relapse (subset of clonal mutations lost at relapse), the preservation of the leukemia's composition was more variable. …”
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A simple model of the rheological curve of HPAM solutions at different temperatures by Eduar Pérez, Dario Alviso, Mauricio Carmona, Eduardo Manrique, Guillermo Artana

“…However, existing physical models need further refinement to improve predictive accuracy and prevent design failures in polymer flooding projects. …”
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Design and Experimental Verification of a New Type of Refrigerated Vehicle Model by Xia Quangang, Liu Baolin, Song Xiaoyan

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La déforestation au prisme des terroirs villageois en situation de mosaïque forêt-savane, République Démocratique du Congo by Christophe Demichelis, Johan Oszwald, Clélia Gasquet-Blanchard, Victor Narat, Jean-Christophe Bokika, Tamara Giles-Vernick

“…This inter-village variability made it possible to highlight a village typology directly linked to the landscape composition of the terroirs, and thus to highlight different socio-ecological situations within a small area. …”
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Modeling of Thermal Distributions around a Barrier at the Interface of Coating and Substrate by Ali Sahin

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A Review of Sensors for the Monitoring, Modeling, and Control of Commercial Wine Fermentations by Roger Boulton, James Nelson, André Knoesen

“…Large-scale commercial wine fermentation requires the monitoring and control of multiple variables to achieve optimal results. Challenges in measurement arise from turbidity, stratification in large unmixed volumes, the presence of grape skins and solids during red wine fermentations, the small changes in variables that necessitate precise sensors, and the unique composition of each juice, which makes every fermentation distinct. …”
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Modeling, Simulation, and Kinetic Studies of Solvent-Free Biosynthesis of Benzyl Acetate by Vijay Kumar Garlapati, Annapurna Kumari, Paramita Mahapatra, Rintu Banerjee

“…A nonlinear response surface model has been successfully developed based on central composite design with transesterification variables, namely, molarity of alcohol, reaction time, temperature, and immobilized lipase amount as input variables and molar conversion (%) as an output variable. …”
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