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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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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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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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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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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One factor to bind them all: visual foraging organization to predict patch leaving behavior with ROC curves by Marcos Bella-Fernández, Manuel Suero Suñé, Alicia Ferrer-Mendieta, Beatriz Gil-Gómez de Liaño

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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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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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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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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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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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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 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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Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials by Yangyang Ma, Wenle Song, Jie Gao, Yang Liu, Yilei Shang, Weimei Zhao, Fuyao Yang

“…To effectively reduce the vibration of iron-core reactors, a vibration optimization method considering the magnetostrictive properties of Fe-based soft magnetic composite materials is proposed. First, an improved magnetostrictive model incorporating stress effects is established based on the classical Jiles–Atherton (J-A) model and the quadratic domain rotation theory. …”
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Influence of dry-wet cycles on the strength behavior of biopolymer and fiber composite modified loess by Zherui Liang, Changgen Yan, Yihan Cao, Yuling Shi, Han Bao, Huaixin Li

“…This study proposes an innovative reinforcement method using bio-polymer and fiber composite modified loess (BFCL). Through systematic experiments including direct shear tests, quantitative crack characterization via Particle and Crack Analysis System (PCAS), and damage variable modeling, the mechanical response of BFCL under dry-wet cycles was comprehensively evaluated. …”
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Integrating MaxEnt with chemometrics to evaluate the impact of environmental variables on the coumarin content and the distribution of Angelica dahurica by Zhengkun Gan, Jun Ma, Xinyu Liu, Jiaxin Luo, Junke Li, Lili Pu, Guihua Jiang, Guihua Jiang, Yan Lian

“…With climate change potentially affecting both species distribution and secondary metabolite accumulation, there is a pressing need to integrate ecological and chemical data to guide future cultivation and resource utilization strategies.MethodsThis study combined the Maximum Entropy (MaxEnt) ecological modeling approach with chemometric analysis to (i) predict the suitable habitat distribution of A. dahurica under current and future climate scenarios and (ii) evaluate the correlation between environmental variables and coumarin accumulation.Results(1) The key environmental variables influencing the distribution of A. dahurica were identified as BIO_13 (precipitation of the wettest month), BIO_11 (mean temperature of the coldest quarter), and elevation (DEM). (2) Presently, the highly suitable regions for A. dahurica cultivation are mainly in Sichuan, Henan, and Hebei provinces. (3) Under future climate scenarios, the highly suitable habitats are expected to expand and shift geographically, especially toward Henan and Jiaozuo, with parts of Hubei, Shaanxi, and Shandong transitioning into highly suitable zones. (4) Chemometric analyses revealed that A. dahurica samples from highly suitable areas contained significantly higher total coumarin content than those from medium-suitability regions. (5) A strong correlation was observed between key environmental factors (especially BIO_11 and DEM) and the relative content of five major coumarin components.(6) Spatial mapping of chemical composition indicated distinct regional differences in coumarin distribution, suggesting the potential for geoherbalism-based classification.DiscussionThe integration of ecological modeling with chemical analysis provides a powerful framework for understanding the impact of environmental variables on both the distribution and chemical quality of A. dahurica. …”
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Effect of thermocycling on flexural strength of dental CAD/CAM ceramics of variable thicknesses and structures: an in vitro study [version 3; peer review: 1 approved, 2 approved wi... by Shahad T. Alameer, Laila Al Dehailan, Sultan Akhtar, Turki Alshehri, Nourhan M. Aly, Yousif A. Al-Dulaijan, Passent Ellakany

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Effect of thermocycling on flexural strength of dental CAD/CAM ceramics of variable thicknesses and structures: an in vitro study [version 2; peer review: 1 approved, 2 approved wi... by Shahad T. Alameer, Laila Al Dehailan, Sultan Akhtar, Turki Alshehri, Nourhan M. Aly, Yousif A. Al-Dulaijan, Passent Ellakany

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Seasonal Variability of PM10 Chemical Composition Including 1,3,5-triphenylbenzene, Marker of Plastic Combustion and Toxicity in Wadowice, South Poland by Przemysław Furman, Katarzyna Styszko, Alicja Skiba, Damian Zięba, Mirosław Zimnoch, Magdalena Kistler, Anne Kasper-Giebl, Stefania Gilardoni

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The use of the joint simultaneous integration methodology to measure the impact of certain macroeconomic variables on the GDP: ARDL model by Farouk Sahnoune, Salim Lagoune

“…In the short run, most of the model variables were statistically significant, indicating their influence in explaining GDP. …”
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