ALGORITHM FOR OPTIMIZING THE COMBUSTION PROCESS OF ASSOCIATED PETROLEUM GAS IN THERMAL POWER PLANTS, TAKING INTO ACCOUNT THE VARIABILITY OF ITS COMPOSITION by V. M. Larionov, E. R. Saifullin, S. A. Nazarychev, A. O. Malahov, Y. V. Vankov

“…These changes lead to the violation of the combustion optimal mode in thermal power plants. This article presents the algorithm of combustion optimization of hydrocarbon fuels variable composition, in particular of associated petroleum gas. …”
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BUILDING OF MATHEMATICAL MODEL FOR OPTIMIZATION OF COMPOSITIONS OF EFFECTIVE EXOTHERMIC BLENDS by D. M. Kukuj, Ju. N. Fasevich

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Robust Variable Selection via Bayesian LASSO-Composite Quantile Regression with Empirical Likelihood: A Hybrid Sampling Approach by Ruisi Nan, Jingwei Wang, Hanfang Li, Youxi Luo

“…To address this critical limitation, we propose a novel empirical likelihood (EL)-based variable selection framework that integrates a Bayesian LASSO penalty within the composite quantile regression framework. …”
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Influence of interface sawtooth angle on the shear behavior of cement mortar coal composite structure by Xianxia Wang, Xudong Shi, Jinwen Bai, Hongchao Zhao, Yantong Zhao

“…Abstract The influence of interface morphology is of great importance on the shear behavior of the cement mortar-coal composite structure (CCCS) widely distributed in underground mines. …”
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The Application of Near-Infrared Spectroscopy Combined with Chemometrics in the Determination of the Nutrient Composition in Chinese <i>Cyperus esculentus</i> L. by Xiaobo Jiao, Dongliang Guo, Xinjun Zhang, Yunpeng Su, Rong Ma, Lewen Chen, Kun Tian, Jingyu Su, Tangnuer Sahati, Xiahenazi Aierkenjiang, Jingjing Xia, Liqiong Xie

“…Partial least squares regression (PLSR) was utilized to establish prediction models between NIR and chemical indicators. In addition, to further enhance the prediction performance of the models, various preprocessing and variable selection algorithms were utilized to optimize the prediction models. …”
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The Optimization Design of Variable Valve Parameters for Internal Combustion Engines Considering the Energy Consumption of a Composite Electromagnetic Valve Mechanism by Xinyu Fan, Juyi Han, Jie Yin, Li Zheng, Wei Shao

“…To this end, this paper establishes a thermodynamic model of the engine based on the composite electromagnetic valve mechanism. …”
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Investigation and optimization of battery thermal management system based on composite phase change material and variable wall liquid cooling plate by Xiaoyong Gu, Wenbo Lei, Jiacheng Xi, Mengqiang Song

“…To mitigate the risk of thermal runaway in lithium-ion batteries, an efficient battery thermal management system (BTMS) assumes paramount importance. A BTMS based on composite phase change material (CPCM) and variable wall liquid cooling plate (LCP) is proposed in this research. …”
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The Impact of Malted Grains on Human Intestinal Microbiota Composition in an In Vitro Model by Carlos Gómez-Gallego, Roosa-Maria Willman, Kati Martikainen, Marjukka Kolehmainen

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Compositional and Machine Learning Tools to Model Plant Nutrition: Overview and Perspectives by Léon Etienne Parent

“…The additive and orthogonal log ratios of CoDa reduce a <i>D</i>-parts soil composition to <i>D</i>-1 variables, alleviating redundancy in the predictive ML models. …”
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Penalized Composite Likelihood Estimation for Spatial Generalized Linear Mixed Models by Mohsen Mohammadzadeh, Leyla Salehi

“…When discussing non-Gaussian spatially correlated variables, generalized linear mixed models have enough flexibility for modeling various data types. …”
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Influence of microstructure on rate-dependent response of unidirectional fibrous composites by Soňa Valentová, Michal Šejnoha, Jan Vorel, Zdeněk Prošek

“…The viscoelastic response of the matrix phase was represented by the Maxwell chain model. A series of creep tests performed at several stress levels served as a stepping stone for the model calibration. …”
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Monitoring and modelling of variables affecting isomerate octane number produced from an industrial isomerization process by Walaa Mahmoud Shehata, Mohamed Fathy Mohamed, Fatma Khalifa Gad

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The uncertainty of estimation of doses to the bone marrow from ^89,90Sr due to the variability of the chemical composition and bone density by E. A. Shishkina, P. A. Sharagin, E. A. Tolstykh

“…The objective of this study is to assess the influence of variability of chemical composition and bone density on the results of dosimetric modeling. …”
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Composite model-based estimate of the ocean carbon sink from 1959 to 2022 by J. Terhaar, J. Terhaar

“…Despite the importance of this natural carbon sink, estimates of its strength over the last decades remain uncertain, mainly due to too few and unevenly sampled observations and shortcomings in ocean models and their setups. Here, I present a composite model-based estimate of the annually averaged ocean carbon sink from 1959 to 2022 by combining the higher-frequency variability of the annually averaged estimates of the carbon sink from ocean models in hindcast mode and the long-term trends from fully coupled Earth system models. …”
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Estimation of Relationship between Inflation and Relative Price Variability: Granger Causality and ARDL Modelling Approach by Saghir Pervaiz Ghauri, Rizwan Raheem Ahmed, Jolita Vveinhardt, Dalia Streimikiene

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Numerical modeling of delamination in composite panel under low-velocity contact with hail by V.T. Le, Т. V. Burnysheva

“…A technique is proposed to simulate multiple impacts of hailstones on composite panels based on a developed model and testing of low-velocity hailstone impacts. …”
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Modeling the shape correction of a thin-walled composite reflector of a spacecraft by E. V. Moskvichev

“…The orbital model was used to calculate temperature deformations of the reflector over time under a variable solar flux. …”
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Regularized win ratio regression for variable selection and risk prediction, with an application to a cardiovascular trial by Lu Mao

“…When applied to data from the HF-ACTION trial, the method identified prognostic variables and achieved superior predictive accuracy compared to regularized Cox models, as measured by overall and component-specific concordance indices. …”
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Proposing Optimized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites by Feng Bin, Shahab Hosseini, Jie Chen, Pijush Samui, Hadi Fattahi, Danial Jahed Armaghani

“…This research underscores the potential of hybrid machine learning models in advancing sustainable construction materials through precise predictive modeling, paving the way for more environmentally friendly and efficient construction practices.…”
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Modeling Syngas Fermentation for Ethanol Production under Fluctuating Inlet Gas Composition by Noviani Arifina Istiqomah, Rendy Mukti, Made Tri Ari Penia Kresnowati, Tjandra Setiadi

“…Despite these fluctuations, the microbial system displayed resilience, stabilizing once gas composition returned to normal levels. These insights underscored the adaptability and robustness of syngas fermentation systems, making them viable for industrial applications where gas composition variability is inevitable. …”
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