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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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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Pounding along expansion joints in steel moment resisting frames by Ashraf Osman, Abu baker Salem

“…Abstract In steel framed structures having large footprints or variable heights, expansion/ settlement joints are usually introduced by structural designers to minimize the straining actions developed within buildings structural elements. …”
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The Influence of Genre Constraints on Author Representation in Medical Research Articles. The French Indefinite Pronoun On in IMRAD Research Articles by Anje Müller Gjesdal

“…The main hypothesis is that the IMRAD structure entails a specific distribution of macro level textual structures (author roles, argumentation, rhetorical functions), and that this is reflected in the distribution of micro level linguistic markers, such as the pronoun on. …”
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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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Exploring alkylpyrazine stability across aggregation states: a DFT perspective by Manjeet Bhatia

“…Abstract Determining the structure and properties of analytes and their ions, such as proton-bound clusters, is crucial for both the theoretical understanding and practical applications of mass spectrometry, ion mobility spectrometry, and other related chemical ionization methods. …”
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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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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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Analytical investigation on resolution calculation method for nonlinear temperature load of steel-concrete composite girders by Chun-Ming Zhang, Wei-Hong Wu, Wei Xian, Wei Xian

“…The proposed approach enables systematic decomposition of actual nonlinear temperature fields into three equivalent components: uniform, linear, and nonlinear temperature gradients. A computational framework incorporating statically indeterminate structural effects is subsequently formulated for comprehensive thermal response analysis. …”
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Predicting the Aquatic Toxicity of Pharmaceutical and Personal Care Products: A Multitasking Modeling Approach by Amit Kumar Halder, Tanushree Pradhan, M. Natália D. S. Cordeiro

“…Multitasking Quantitative Structure–Toxicity Relationship (mt-QSTR) models were then developed employing the Box–Jenkins moving average approach, incorporating both linear and non-linear frameworks based on diverse feature selection algorithms and machine learning techniques. …”
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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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The influence of nanofiller on the properties of biocompatible silicone based on different network precursors by Ivan Ristić, Suzana Cakić, Vojislav Aleksić

“…The purpose of this work was to determine branched structures and charachteristics of noanocomposite organofunctionals siloxanes. …”
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Evaluation of the seismic performance of tall steel frames with semi-rigid connections with zipper bracing system under near-fault earthquakes by Amir Lamei Javan, Amin Ghannadiasl, Maryam Parvaresh

“…For this purpose, modeling Chevron bracing system was first done using Opensees software by adding zipper columns in tall semi-rigid steel frames in two 12-story and 15-story structures as representatives of tall buildings. 56 semi-rigid frames were analyzed under seven near-fault records using dynamic non-linear time history analysis. …”
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Strike-slip fault system and its control on ediacaran hydrocarbon system in central Sichuan Basin: insights from petrology, U-Pb dating and seismic interpretation by Yongjing Cen, Jianhai Li, Feng Liang, Lien Wang, Xin Zhang

“…The results indicate that the planar patterns of strike-slip faults can be classified into linear, en echelon, and oblique structures. Strike-slip faults are typically seen as vertical (or steep) linear faults or flower-shaped structures in seismic profiles. …”
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Second harmonic generation from bound-state in the continuum-hosted few-layers van der Waals metasurface by Muhammad Naseer, Begum Azra, Su Zhaoxian, Huang Lingling

“…Monolayer transition metals dichalcogenides (TMDs) have been coupled to bound-state in the continuum (BIC) hosted dielectric structures to attain high second harmonic generation (SHG). …”
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Analysis of Stainless-Steel Tape Dynamic Behavior and Its Impact on Raster Scale Formation Accuracy by Donatas Gurauskis, Albinas Kasparaitis, Edgar Sokolovskij, Jonas Matijošius, Artūras Kilikevičius

“…The formation of raster structures on stainless-steel tapes requires high-precision mechatronic systems to ensure accuracy and stability during the process. …”
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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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On a Method for Calculating Bending and Shear Vibrations of a Porous Piezoelement in the Low-Frequency Region by A. N. Soloviev, V. A. Chebanenko, P. A. Oganesyan, E. I. Fomenko

“…The autonomous devices for monitoring the damaged condition of various structures include them as well. The working element of these devices is a piezoelectric generator (PEG) — a converter of mechanical energy into electrical energy. …”
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The causes and impacts of flood risks in South Africa by Tlou D. Raphela, Mollin Matsididi

“…Thus, this study assessed the causes and impact of floods on the communities of Bronville and Hani-park in Welkom in the Free State Province in South Africa.MethodsThe study adopted a quantitative approach, using a structured questionnaire to collect the data. The study used an R statistical package to analyze the data and applied descriptive statistics and a series of Generalized linear models to examine the impacts of floods in the community.ResultsThe findings reveal a community-wide concern about flooding impacts. …”
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