Informational Approaches in Modelling Social and Economic Relations: Study on Migration and Access to Services in the European Union by Florentina-Loredana Dragomir-Constantin, Camelia Madalina Beldiman, Monica Laura Zlati

“…The applied methodology includes attribute distribution analysis, identification of hidden patterns through clustering algorithms (K-Means and Expectation-Maximisation) and training of classifiers using regression decision trees with linear leaf models (M5P) corresponding to interdependent data processing and integration modules, exploratory analysis module, machine learning and decision-making modules, oriented to support public policies through explainable scenarios and predictive-evaluative structures. …”
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Comparative analysis of ensemble learning techniques for enhanced fatigue life prediction by Sasan Farhadi, Samuele Tatullo, Francesco Ferrian

“…Abstract Efficient prediction of fatigue life in structural components is crucial for ensuring their integrity and reliability, especially considering the dominant occurrence of fatigue failure in metallic structures within the industrial sectors. …”
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Machine Learning‐Based Failure Prediction in Concrete Slabs and Cubes Under Impact Loading by Mohammad Hematibahar, Ahmed Deifalla, Adham E. Ragab, Gebre Tesfaldet

“…Using these models allows engineers to design more resistant and optimal structures against impact loads. This research shows that machine learning models, especially random forest and gradient boosting, can provide accurate predictions of failures and cracks in concrete under impact loads and are useful tools for analyzing concrete behavior under dynamic and complex conditions. …”
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A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques by Suganya Athisayamani, Tamilazhagan S, A. Robert Singh, Jae-Yong Hwang, Gyanendra Prasad Joshi

“…This approach effectively captures both structured features and non-linear patterns, making it suitable for datasets with complex dependencies. …”
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Bessel Beams in Gyroanisotropic Crystals with Optical Activity by Yuriy Egorov, Bogdan Sokolenko, Aziz Aliev, Ruslan Dzhemalyadinov, Ervin Umerov, Alexander Rubass

“…The structure of the fields of the eigenmodes of Bessel beams in a birefringent uniaxial crystal with optical activity is similar to the structure of the modes of a medium with genuine optical activity. …”
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Influence of high-speed gas flow on the tensile strength of 2.5D C/SiC composites by Hailang Ge, Lu Zhang, Yuchen Yang, Sheng Zhang, Fang Wang, Xiguang Gao, Yingdong Song

“…To investigate the influence of high-temperature gas environment on the structural strength of 2.5D C/SiC composites, tensile properties were analyzed using gas flow ablation tests on specimens subjected to different ablation durations (300 s and 600 s). …”
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Features of the bridge span performance when shifting the axis of the rail-sleeper grid by V. V. Korolev, A. A. Loktev, I. V. Shishkina, E. A. Gridasova

“…Engineering structures form an integral part of the railways, both already operated and yet designed. …”
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Predictors for estimating subcortical EEG responses to continuous speech. by Joshua P Kulasingham, Florine L Bachmann, Kasper Eskelund, Martin Enqvist, Hamish Innes-Brown, Emina Alickovic

“…Perception of sounds and speech involves structures in the auditory brainstem that rapidly process ongoing auditory stimuli. …”
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Dealloying Behavior of NiCo and NiCoCu Thin Films by Benjamin E. Peecher, Jennifer R. Hampton

“…Electrochemical capacitance, scanning electron microscopy, and energy dispersive X-ray spectroscopy were used to examine the structure and composition of each sample before and after linear sweep voltammetry was performed. …”
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Prediction Cell Parameter of A2MX6 Cubic Perovskites by Hadda Krarcha, Abdelhak Ferroudj

“…It is useful for providing the predicted structural information for estimating the physical properties of materials for which accurate structural data are not available. …”
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MRAC Control with Prior Model Knowledge for Asymmetric Damaged Aircraft by Xieyu Xu, Lingyu Yang, Jing Zhang

“…This paper develops a novel state-tracking multivariable model reference adaptive control (MRAC) technique utilizing prior knowledge of plant models to recover control performance of an asymmetric structural damaged aircraft. A modification of linear model representation is given. …”
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NetDA: An R Package for Network-Based Discriminant Analysis Subject to Multilabel Classes by Li-Pang Chen

“…In this paper, we introduce the R package NetDA, which aims to deal with multiclassification with network structures in predictors accommodated. To address the natural feature of network structures, we apply Gaussian graphical models to characterize dependence structures of the predictors and directly estimate the precision matrix. …”
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Clinician Perspectives of a Magnetic Resonance Imaging–Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2–Related Schwannomatosis: Qualitative Pilot Study by Shelby T Desroches, Alice Huang, Rithvik Ghankot, Steven M Tommasini, Daniel H Wiznia, Frank D Buono

“…However, clinicians felt that the ability to visualize tumors with reference to critical structures, to overlay structures, to interact with 3D models, and to visualize areas of slow versus rapid growth in 3D would be valuable contributions to clinical practice. …”
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Development of a Multiaction Hybrid Damper for Passive Energy Dissipation by Ji-Eun Roh, Moo-Won Hur, Hyun-Hoon Choi, Sang-Hyun Lee

“…A multiaction hybrid damper (MHD) is designed to have independent hysteretic characteristics under small and large loading conditions, and its control performance for building structures excited by wind or earthquake load is verified. …”
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Experimental and theoretical studies of agglomeration effects in multi-walled carbon nanotube-polycarbonate melts

“…The main focus is to carry out nonlinear viscoelastic experiments that allow following the structural rearrangements of carbon nanotubes in the polycarbonate melt. …”
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Analysis of dermoscopic features of pigmented and classic lichen planus by WU Fangpei, ZHANG Chao

“…Additionally, punctate, linear, and globular vascular structures, along with radial vascular distribution around Wickham striae, were more prevalent in classic lichen planus, whereas diffuse vascular distribution was more common in pigmented lichen planus (all P<0.05). …”
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Optimizing Bifacial Solar Modules with Trackers: Advanced Temperature Prediction Through Symbolic Regression by Fabian Alonso Lara-Vargas, Carlos Vargas-Salgado, Jesus Águila-León, Dácil Díaz-Bello

“…The SR model outperformed others by achieving a root mean squared error (RMSE) of 4.05 °C, coefficient of determination (R²) of 0.91, Spearman’s rank correlation coefficient of 0.95, and mean absolute error (MAE) of 2.25 °C. Its hybrid structure combines linear ambient temperature dependencies with nonlinear trigonometric terms capturing solar radiation dynamics. …”
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Efficient quantum circuit research and implementation for 16-bit S-boxes based on composite field by Lei Zhang, Guoyuan Li, Jingchen Dai, Ruipeng Hong, Chaoen Xiao, Jianxin Wang, Yifan Zhang

“…Taking the 16-bit S-box in the MK-3 algorithm as an example, experimental results show that the proposed method maintains correct circuit structure while reducing CNOT gate consumption in the linear component by more than 32.8%, and the utilization of quantum resources in the nonlinear component is more advantageous. …”
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Effect of variability of human bone morphometric parameters on the uncertainty of internal bone marrow doses due to ⁹⁰Sr by E. A. Shishkina, P. A. Sharagin, E. I. Tolstykh

“…The objective of this study is to assess the effect of individual variability of bone structure dimensions on the results of dosimetric modeling. …”
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Local Streamline Pattern and Topological Index of an Isotropic Point in a 2D Velocity Field by Jian Gao, Rong Wang, Hongping Ma, Wennan Zou

“…In fluid mechanics, most studies on flow structure analysis are simply based on the velocity gradient, which only involves the linear part of the velocity field and does not focus on the isotropic point. …”
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