An Instantaneous Minimum Input Energy Control Strategy for Isolation Systems With Co-Varying Stiffness and Damping by Leilei Xia, Dehong Wu, Lu Chen, Jingjing Li

“…The seismic isolation stiffness and damping of magnetorheological elastomer (MRE) isolation bearings can adapt instantly to seismic load variations which can provide more intelligent seismic protection for engineering structures. The stiffness and damping change simultaneously following a defined functional relationship. …”
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Topological modeling and QSPR based prediction of physicochemical properties of bioactive polyphenols by Abdul Hakeem, Asad Ullah, Shahid Zaman, Emad E. Mahmoud, Hijaz Ahmad, Parvez Ali, Melaku Berhe Belay

“…Abstract Molecular graph theory provides a powerful mathematical framework for representing chemical structures, where atoms and bonds are modeled as vertices and edges of a graph. …”
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Predicting the diversity of photosynthetic light-harvesting using thermodynamics and machine learning. by Callum Gray, Samir Chitnavis, Tamara Buja, Christopher D P Duffy

“…We reproduce qualitatively the pigment composition, linear absorption profile and structural topology of the antenna systems of multiple types of oxygenic photoautotrophs, suggesting that the same physical principles underlie the development of distinct antenna structures in various light environments. …”
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Research on load design for large containership based on nonlinear springing analysis in frequency domain by Ye Lu, Qiu Jin, Nan Zhao, Chao Tian, Qun Cao

“…The validation confirms that the proposed frequency-domain nonlinear hydroelastic method provides an effective tool for evaluating nonlinear wave-induced vibration response characteristics of large container ships during preliminary structural design stages. This methodology offers valuable insights for ship designers to assess critical structural responses early in the design process.…”
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The research on vibration active control method based on nonlinear reduced-order functions and predictive control by Hongyu Zhou, Wenming Cheng, Run Du, Hetian Chen

“…This paper explores the application of predictive control methods for actively managing structural vibrations and proposes a model predictive controller based on low-dimensional nonlinear reduced-order functions. …”
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Study of Dynamic Characteristics of Slow-Changing Process by Yinong Li, Ling Zheng, Bangchun Wen

“…Such systems often occur in the working and controlled process of some intelligent structures when vibration and deformation exist synchronously. …”
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Whale Optimization Algorithm-Based LQG-Adaptive Neuro-Fuzzy Control for Seismic Vibration Mitigation with MR Dampers by Xiufang Lin, Weiqing Lin

“…In this paper, an intelligent semiactive control strategy, which combines linear-quadratic-Gaussian (LQG), whale optimization algorithm (WOA), and adaptive neuro-fuzzy inference system (ANFIS) strategy is designed to mitigate structural vibration by using magnetorheological (MR) dampers, here known as WLQG-ANFIS control. …”
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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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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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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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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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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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