Refined equations and buckling modes under four-point bending loading of the sandwich test specimen with composite facing layers and a transversely flexible core by V.N. Paimushin, M.V. Makarov

“…A refined geometrically nonlinear theory of sandwich plates and shells with a flexible soft core and composite facing layers having low shear and compressive stiffness was introduced. …”
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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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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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Bearing Fault Diagnosis Method Based on Improved VMD and Parallel Hybrid Neural Network by Wuyi Chen, Huafeng Cai, Qiu Sun

“…In order to combat the difficulty of fault feature extraction and fault recognition in the field of bearing fault diagnosis, a bearing fault diagnosis method based on improved variational mode decomposition (VMD) and parallel hybrid neural network is proposed, which combines reweighted kurtosis (RK) with variable mode decomposition (VMD) and uses reweighted kurtosis as the evaluation index to select the decomposition times of variational mode decomposition, while removing part of the interference in the fault signal and retaining its impact characteristics. …”
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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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Formulating genome‐scale kinetic models in the post‐genome era by Neema Jamshidi, Bernhard Ø Palsson

“…We describe here a framework for building and analyzing such models. The mathematical analysis challenges are reflected in four foundational properties, (i) the decomposition of the Jacobian matrix into chemical, kinetic and thermodynamic information, (ii) the structural similarity between the stoichiometric matrix and the transpose of the gradient matrix, (iii) the duality transformations enabling either fluxes or concentrations to serve as the independent variables and (iv) the timescale hierarchy in biological networks. …”
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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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A novel data processing approach to detect fraudulent insurance claims for physical damage to cars by Ahmet Yücel

“…To this end, Singular Value Decomposition-based components and correlation-based composite variables were created. …”
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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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Estimation of heat transfer parameters by using trained POD-RBF and Grey Wolf Optimizer by Minh Ngoc Nguyen, Nha Thanh Nguyen, Thien Tich Truong

“…In order to accelerate the process, the model order reduction technique Proper-Orthogonal-Decomposition (POD) is used. …”
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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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