Petrogenesis of dark enclaves and magmatic processes in the early Paleozoic Fushui mafic complex from the Qinling Orogenic Belt, central China by Bokang Zhu, Xiaoying Liao, Yongsheng Gai, Liang Liu, Ge Wang, Sang Wan Pak, Wenqiang Yang

“…Compared to the host rocks, the hornblendites exhibit more depleted Sr-Nd isotope compositions. Trace element modeling indicates that both the enclaves and host rocks were originated from a metasomatized mantle, influenced by subducted oceanic and continental crust-derived melts. …”
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DECISION TREE OR LOGISTIC REGRESSION - WHICH BASIC MODEL IS BETTER? by Kitti Fodor

“…In this paper, my aim is to show which of the data in the Central Credit Information System are the ones that influence the factors that are then used to perform the analysis using a decision tree and logistic regression, and I would like to know, which of the two basic model is the better one. For the analyses, I used a random sample of 500 items, reflecting the proportions of performing and nonperforming loans in the population. …”
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Sex-specific and age-specific characteristics of body composition and its effect on bone mineral density in adults in southern China: a cross-sectional study by Hao Xu, Jian Gong, Zeyu Xiao, Zhiqiang Tan, Jingjie Shang, Yong Cheng, Yongjin Tang, Bin Guo

“…In multivariable linear regression models with age, body mass index, A/G FMR and ALM as predictor variables, ALM was associated with the most BMD variance of all skeletal sites in men (standard β ranged from 0.207 to 0.405, p<0.001), although not the largest but still a positive predictor of BMD in women (standard β ranged from 0.074 to 0.186, p<0.05). …”
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Modelling the ecological niches of reptiles in highly biodiverse protected areas by Abderrafea Elbahi, Michel Dugon, Widade Oubrou, Mohammed El Bekkay, Jamila Hermas, Colin Lawton

“…Species distribution modelling is a valuable tool for understanding and managing protected areas globally. …”
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Planning and optimization models in ready-made concrete production and logistics by Mykhailo Buhaievskyi, Yuri Petrenko

“…These models account for production constraints, stochastic demand, variable delivery routes, mix composition, and time limitations. …”
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The Physicochemical Parameters, Phenolic Content, and Antioxidant Activity of Honey from Stingless Bees and <i>Apis mellifera</i>: A Systematic Review and Meta-Analysis by Ana Karen Zaldivar-Ortega, Antonio de Jesús Cenobio-Galindo, Nuria Morfin, Gabriel Aguirre-Álvarez, Rafael G. Campos-Montiel, Nuria Esturau-Escofet, Angel Garduño-García, Juan Carlos Angeles-Hernandez

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Relationship between fiber degradation and residence time distribution in the processing of long fiber reinforced thermoplastics

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Effects of propolis supplementation on prooxidant-antioxidant balance, oxidative stress biomarkers, and body composition in obese patients with NAFLD: A double-blind randomized con... by Hamideh Nazari-Bonab, Mahlagha Nikbaf-Shandiz, Helda Tutunchi, Mehrangiz Ebrahimi-Mameghani

“…At the end of the study, the inter-group comparison showed a significant decrease in serum glutathione peroxidase level in the placebo group compared to the PRP group after adjusting for confounding variables based on models 1 (P=0.027) and 2 (P=0.028). …”
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Effects of 12 Weeks of Interval Block Resistance Training Versus Circuit Resistance Training on Body Composition, Performance, and Autonomic Recovery in Adults: Randomized Controll... by Héctor Fuentes-Barría, Raúl Aguilera-Eguía, Juan Maureira-Sánchez, Miguel Alarcón-Rivera, Victor Garrido-Osorio, Olga Patrica López-Soto, Juan Alberto Aristizábal-Hoyos, Lissé Angarita-Davila, Diana Rojas-Gómez, Valmore Bermudez, Cherie Flores-Fernández, Ángel Roco-Videla, Jorge Enrique González-Casanova, Sebastian Urbano-Cerda, Dan Iulian Alexe

“…<b>Objectives:</b> Interval block resistance training (IBRT) and circuit resistance training (CRT) are periodization models aimed at enhancing neuromuscular and metabolic adaptations. …”
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Designing host-associated microbiomes using the consumer/resource model by Germán Plata, Karthik Srinivasan, Madan Krishnamurthy, Lukas Herron, Purushottam Dixit

“…In the model, variation in microbial ecosystem composition arises due to differences in the availability of effective resources (inferred latent variables), while species’ resource preferences remain conserved. …”
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Improved active vibration control of a cantilever beam using MFC actuators with Hammerstein model-based hysteresis modeling and VSS-FxLMS control algorithm by Hafiz Muhammad Umar, Lei Zhang, Ruichen Yu, Zhiyuan Gao

“…This study aims to enhance active vibration control in a cantilever beam using macro fiber composite (MFC) actuators. To address the challenge of accurately modeling the complex hysteresis behavior of MFC actuators, an advanced hysteresis modeling technique is employed, integrating a non-symmetric Bouc–Wen model with an Auto-Regressive model with eXogenous inputs (ARX). …”
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An Intelligent Deep Learning Model for CO2 Adsorption Prediction by Hanan Ahmed Hosni Mahmoud, Nada Ali Hakami, Alaaeldin M. Hafez

“…A feature importance metric was proposed using feature permutation, and the effect of each feature on the target output variable was investigated. The important extracted features from the three employed model were fused and used as the fusion feature set in our proposed model: fusion matrix deep learning model (FMDL). …”
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Influence of genetic adaption of rainbow trout (Oncorhynchus mykiss) fed with alternative protein sources based on Arthrospira platensis and Hermetia illucens on disease resistance... by Anne-Carina Miebach, Mikolaj Adamek, Julia Bauer, Marek Matras, Carsten Dietz, Jakob Gährken, Simon Rosenau, Stephan Wessels, Jens Tetens, Angela Sünder, Magdalena Stachnik, Michal Reichert, Verena Jung- Schroers, Dieter Steinhagen

“…Using a viral haemorrhagic septicaemia virus (VHSV) infection model, the particular focus is on the question how infections affect the disease resistance of differently bred and fed populations. …”
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Understanding the evolution of scoria cone morphology using multivariate models by Gabor Kereszturi, Pablo Grosse, Melody Whitehead, Marie-Noëlle Guilbaud, Drew T. Downs, Rina Noguchi, Matthieu Kervyn

“…Our models suggest chemical composition of ascending magma may influence the initial scoria cone morphology which is then gradually modified by erosion over time.…”
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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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