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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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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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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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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Thermal Conductivity Model Analysis of Unsaturated Ice-Containing Soil by Qiang Han, Zhiguo Wang, Rui Qin

“…In this paper, the representative elementary volume (REV) selection method is given for unsaturated ice-containing soil with porosity as a representative state variable. Under the condition of freeze-thaw, two thermal conductivity REV analysis models for unsaturated ice-containing soil are established: a simplified volume-weighted average REV model and a fine volume-weighted average REV model; accordingly, a macroscopic thermal conductivity analysis model is given. …”
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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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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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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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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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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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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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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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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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A statistical and machine learning approach for monthly precipitation forecasting in an Amazon city by Ewerton Cristhian Lima de Oliveira, Eduardo Costa de Carvalho, Edmir dos Santos Jesus, Rafael de Lima Rocha, Rafael de Lima Rocha, Helder Moreira Arruda, Ronnie Cley de Oliveira Alves, Ronnie Cley de Oliveira Alves, Renata Gonçalves Tedeschi

“…Additionally, we use meteorological data from a set of sensors installed at a meteorological station located in Belém to train multivariate statistical and machine learning (ML) models to predict precipitation. Besides the use of algorithms, another evaluation was conducted on Feature Composition based on statistical methods to investigate the impact of variables on the prediction.ResultsThe results obtained in our investigation indicate that the vector autoregressive moving average with exogenous regressors (VARMAX) model achieved the best performance in rainfall forecasting, with an average root mean square error (RMSE) of 9.1833 in time series cross-validation, outperforming the other models.DiscussionThe climate-driven patterns directly influenced the performance of the rainfall forecasting models evaluated in this study. …”
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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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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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Relationship between fiber degradation and residence time distribution in the processing of long fiber reinforced thermoplastics

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Optical Detection of the X-Ray Flash in the Very Fast Nova V1674 Her: Optical Contribution of the Irradiated Accretion Disk by Izumi Hachisu, Mariko Kato

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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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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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