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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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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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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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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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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Bearing Fault Diagnosis under Transient Conditions: Using Variational Mode Decomposition and the Symmetrized Dot Pattern-Based Convolutional Neural Network Model by Jide Jia, Jianmin Mei, Chuang Sun, Fengjuan Yang

“…An effective bearing fault diagnosis method for gearbox applications under variable operating conditions is proposed, utilizing variational mode decomposition (VMD) for feature extraction, symmetrized dot pattern (SDP) for visual representation, and convolutional neural network (CNN) for deep feature extraction and classification. …”
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Discretization-independent surrogate modeling of physical fields around variable geometries using coordinate-based networks by James Duvall, Karthik Duraisamy

“…These concepts are leveraged and adapted in the context of physical-field surrogate modeling. Two methods toward generalization are proposed and compared: design-variable multilayer perceptron (DV-MLP) and design-variable hypernetworks (DVH). …”
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Short-term residential electricity consumption forecast considering the cumulative effect of temperature, dual decomposition technology and integrated deep learning by Lanlan Wang, Yong Lin, Tingting Song, Yuchun Chen, Kai Li, Junchao Ran

“…We have developed a Variable Modal Decomposition (VMD) data decomposition technique optimized for non-governmental organizational models, which improves the problem of subjectivity in parameter setting in traditional VMD, thus enhancing the performance and accuracy in data decomposition. …”
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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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Calibration of the Composition of Low-Alloy Steels by the Interval Partial Least Squares Using Low-Resolution Emission Spectra with Baseline Correction by M. V. Belkov, K. Y. Catsalap, M. A. Khodasevich, D. A. Korolko, A. V. Aseev

“…The disadvantage of single- and multivariate modeling the elemental composition of steels is the semi-quantitative accuracy of the models. …”
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Coupling Remote Sensing With a Process Model for the Simulation of Rangeland Carbon Dynamics by Yushu Xia, Jonathan Sanderman, Jennifer D. Watts, Megan B. Machmuller, Andrew L. Mullen, Charlotte Rivard, Arthur Endsley, Haydee Hernandez, John Kimball, Stephanie A. Ewing, Marcy Litvak, Tomer Duman, Praveena Krishnan, Tilden Meyers, Nathaniel A. Brunsell, Binayak Mohanty, Heping Liu, Zhongming Gao, Jiquan Chen, Michael Abraha, Russell L. Scott, Gerald N. Flerchinger, Patrick E. Clark, Paul C. Stoy, Anam M. Khan, E. N. Jack Brookshire, Quan Zhang, David R. Cook, Thomas Thienelt, Bhaskar Mitra, Marguerite Mauritz‐Tozer, Craig E. Tweedie, Margaret S. Torn, Dave Billesbach

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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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Long-time dynamics of a random higher-order Kirchhoff model with variable coefficient rotational inertia by Penghui Lv, Yuxiao Cun, Guoguang Lin

“…The findings promote the relevant conclusions of the non-autonomous stochastic higher-order Kirchhoff model and provide a theoretical basis for its subsequent application and research.…”
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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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NONLINEAR MODELING USING CENTRAL COMPOSITION PLAN FOR FORECASTING OF CHARACTERISTICS OF RAW SAND BLEND by M. A. Sajkov, V. M. Karpenko, N. P. Dragun, E. V. Filipenko

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Application and evaluation of PCA-CA composite model for technical effectiveness in table tennis matches by Huagen Yin, Yanxiang Zhou, Xia Chen, Linbao Zhang, Jingshan Zhang, Cong Yao

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