Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures by Mathilde Papillon, Sophia Sanborn, Johan Mathe, Louisa Cornelis, Abby Bertics, Domas Buracas, Hansen J Lillemark, Christian Shewmake, Fatih Dinc, Xavier Pennec, Nina Miolane

“…The enduring legacy of Euclidean geometry underpins classical machine learning, which, for decades, has been primarily developed for data lying in Euclidean space. Yet, modern machine learning increasingly encounters richly structured data that is inherently non-Euclidean. …”
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Enhanced Prediction and Evaluation of Hydraulic Concrete Compressive Strength Using Multiple Soft Computing and Metaheuristic Optimization Algorithms by Tianyu Li, Xiamin Hu, Tao Li, Jie Liao, Lidan Mei, Huiwen Tian, Jinlong Gu

Subjects: “…structural damage diagnosis…”
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Two-to-One Trigger Mechanism for Event-Based Environmental Sensing by Nursultan Daupayev, Christian Engel, Sören Hirsch

Subjects: “…structural health monitoring…”
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Geotectonics and geodynamics of structures of the stretching of continents and oceans, communications with rudo petroleum potential and seismicity by Vladimir Mikhaylovich Harchenko, Galina Valentinovna Kolyadova, Boris Fyodorovich Galaj, Marina Anatolievna Beytuganova

“…To assess the concepts about the structures of the stretching assembled factual material: data structures of stretching of various ranks in the Eastern and Western Ciscaucasia, and the Red Sea. …”
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The political structures and its influences in sport development in the state of Paraná, Brazil: the case of athletics by Lenamar Fiorese Vieira, José Luiz Lopes Vieira

“…Informer's record, semi-structured interview, research diary and documents, were used to collect the data. …”
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Validation of modeling the delamination process of composite panels of load-bearing elements of aircraft structures by I. S. Belousov

“…Both in the manufacture and operation of structural elements made of layered composite materials, interlayer defects may occur upon impact as a result of operation or violation of manufacturing technology, which significantly reduces the strength characteristics of such structures. …”
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Identifying and Forecasting Recurrently Emerging Stock Trend Structures via Rising Visibility Graphs by Zhen Zeng, Yu Chen

“…This approach produces graph representations that capture direction-sensitive market dynamics and facilitate the extraction of meaningful topological features from price data. By applying the WL kernel, RVGWL quantifies structural similarities between graph-transformed time series, enabling the identification of structurally similar preceding patterns and the probabilistic forecasting of their subsequent trajectories based on nine canonical trend templates. …”
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Ensemble refinement of mismodeled cryo-EM RNA structures using all-atom simulations by Elisa Posani, Pavel Janoš, Daniel Haack, Navtej Toor, Massimiliano Bonomi, Alessandra Magistrato, Giovanni Bussi

“…An analysis of all RNA-containing structures deposited in the Protein Data Bank reveals that this issue affects most cryo-EM structures in the 2.5–4 Å range. …”
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Lamb wave ultrasonic testing technology for diagnosis and prediction of hidden cracks in metal structures by Dawen Yao, Peiwen Meng, Shuqi Li, Jinggang Xu

“…Abstract In the field of traditional hidden crack detection in metal structures, detection technologies are often limited by low sensitivity and imprecise data analysis. …”
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Modeling Asymmetric Shift in the Threshold Voltage of MOS Structures under Thermal Field Treatment by O. V. Aleksandrov, N. N. Morozov

“…The conducted comparison of the data calculated by the developed model and the experimental data reported in literature for the time dependencies of the threshold voltage shift of MOS structures with positive and subsequent negative gate bias determined the range of binding energies, the characteristic dispersion energy, the concentrations of impurity ions and traps near the gate and the silicon substrate, and the width of the region of their localization. …”
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Improved machine learning framework for prediction of phases and crystal structures of high entropy alloys by Debsundar Dey, Suchandan Das, Anik Pal, Santanu Dey, Chandan Kumar Raul, Pritam Mandal, Arghya Chatterjee, Soumya Chatterjee, Manojit Ghosh

“…Within the dataset, 705 data were utilized to predict the crystal structures with the help of thermodynamics and electronic configuration as input features. …”
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Protein-ligand binding affinity prediction using multi-instance learning with docking structures by Hyojin Kim, Heesung Shim, Aditya Ranganath, Stewart He, Garrett Stevenson, Jonathan E. Allen

“…Despite recent advances and improved predictive performance, most methods in this category primarily rely on utilizing co-crystal complex structures and experimentally measured binding affinities as both input and output data for model training. …”
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A Case-Study-Based Comparative Analysis of Using Prefabricated Structures in Industrial Buildings by Abdelhadi Salih, Cynthia Changxin Wang, Rui Tian, Mohammad Mojtahedi

“…The prefabrication system has been used for years in industrial construction, resulting in better performance in regard to structure stability, the control of wastage, and the optimisation of construction time and cost. …”
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Innovative device for crack monitoring and deflection analysis in structures: Improved accuracy, safety and efficiency by Alfonso C. Marcos-Romero, Laura Mendoza-Cerezo, Antonio Macías-García, Noelia Rebollo Muñoz, Jesús M. Rodríguez-Rego

“…It is of the utmost importance to ensure the structural integrity of buildings in order to guarantee the safety of their occupants. …”
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Knowledge Transfer between Oscillators and Real Vibrating Structures to Enrich Dynamic Monitoring Datasets by Valeria Cavanni, Rosario Ceravolo, Gaetano Miraglia

“… Transfer learning (TL) techniques can be exploited in engineering structures to overcome the main limit of the data-driven approaches for dynamic monitoring, namely the lack of a labelled dataset for some structural configuration of the monitored systems. …”
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Proposal of Design Formulae for Equivalent Elasticity of Masonry Structures Made with Bricks of Low Modulus by Muhammad Ridwan, Isamu Yoshitake, Ayman Y. Nassif

“…The numerically estimated equivalent elastic moduli from the FE simulations were verified using previously established test data. Hence, a new simplified formula for the calculation of the equivalent modulus of elasticity of such masonry structures is proposed in the present study.…”
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Power, tourism, and ecology: a critical inquiry into aconcagua’s power structures and conceptions of nature by Henry Mooney

“…Drawing on ethnographic data and textual analysis, it scrutinizes the interplay between historical legacies, economic imperatives, and ecological outcomes shaping mountaineering tourism within the park. …”
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Decoding Facial Dissymmetry: A Comparative Morphological Study on Human Skulls and Facial Structures by Marc Divaris, MD

“…This study provides a detailed examination of facial asymmetry and its relationship with skeletal structure and soft tissues, aiming to better understand the morphological variations of the face. …”
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A Comparative Test Study on the Seismic Damage Sustained by Frame-Core Tube Structures by Zuohua Li, Liang Chen, Jun Teng

“…By comparing the experimental data of these two models, the relationship among the component damage states was discussed comprehensively, and the influences of those states on the overall seismic performance of the frame-core tube structure were analyzed. …”
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Reduction of the Number of Major Representative Allergens: From Clinical Testing to 3-Dimensional Structures by Ying He, Xueting Liu, Yuyi Huang, Zehong Zou, Huifang Chen, He Lai, Lida Zhang, Qiurong Wu, Junyan Zhang, Shan Wang, Jianguo Zhang, Ailin Tao, Baoqing Sun

“…The major allergens were reduced to 21 representative allergens, which were further divided into seven structural classes, each of which contains similar structural components. …”
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