Synergizing population structure, habitat preferences, and ecological drivers for conservation of Cedrus deodara by Syed Waseem Gillani, Mushtaq Ahmad, Muhammad Manzoor, Muhammad Waheed, Andreas Tribsch, Hamayun Shaheen, Abdul Basit Mehmood, Beatrice Ambo Fonge, Abeer Al-Andal

“…The current study analyses the population structure, spatial distribution, environmental factors, and future conservation strategies for Himalayan cedar populations in the Kashmir Himalayas. …”
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Causal Links Between Renal Function and Cardiac Structure, Function, and Disease Risk by Xiaoqin Zhou, Weiqiang Ruan, Lijun Zhao, Ke Lin, Jing Li, Huizhen Liu, Ting Wang, Guiying Zhang

“…This study aimed to determine the causal relationships between genetic susceptibility to impaired renal function and the risk of CVD endpoints, as well as cardiac structure and function detectable by cardiac magnetic resonance imaging (CMR). …”
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Damage Detection in Beam Structures Based on Frequency-Domain Analysis Methods for Nonlinear Systems by Wenbo Zhang, Xiaoyue Guo, Liangliang Cheng, Bo Zhang

“…To improve the accuracy of the Nonlinear Auto-Regressive with eXogenous inputs (NARX) model and reduce the impact of noise interference, we proposed a Multi-input Multi-output Forward Regression Orthogonal Least Squares (MFROLS) algorithm for processing multi-input multi-output data to identify the NARX model of the same structural system. …”
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Overall Layout Method of Frame Structure Plane Based on Generative Adversarial Network by ZHONG Yan, LEI Xin, LONG Danbing, FANG Changjian, KANG Yongjun

“…The core of this method involves constructing a model for the overall layout of the structural plan, which includes three main stages: constructing datasets, training and evaluating the model, and applying the model.MethodsIn the dataset construction stage, due to the limited number of data samples, and to reduce model training parameters, refine sample features, and improve training outcomes, this paper proposes three information representation methods for architecture, beams, and columns. …”
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EPOCHS. XI. The Structure and Morphology of Galaxies in the Epoch of Reionization to z ∼ 12.5 by Lewi Westcott, Christopher J. Conselice, Thomas Harvey, Duncan Austin, Nathan Adams, Fabricio Ferrari, Leonardo Ferreira, James Trussler, Qiong Li, Vadim Rusakov, Qiao Duan, Honor Harris, Caio Goolsby, Thomas J. Broadhurst, Dan Coe, Seth H. Cohen, Simon P. Driver, Jordan C. J. D’Silva, Brenda Frye, Norman A. Grogin, Nimish P. Hathi, Rolf A. Jansen, Anton M. Koekemoer, Madeline A. Marshall, Rafael Ortiz III, Nor Pirzkal, Aaron Robotham, Russell E. Ryan Jr, Jake Summers, Christopher N. A. Willmer, Rogier A. Windhorst, Haojing Yan

“…We present a structural analysis of 520 galaxy candidates at 6.5 < z < 12.5 with a signal-to-noise ratio of >10 σ in the F444W filter taken from the EPOCHS v1 sample, consisting of uniformly reduced deep JWST NIRCam data covering the CEERS, JADES GOODS-S, NGDEEP, SMACS-0723, GLASS, and PEARLS surveys. …”
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Optimisation of the performance and structure of soluble ball seat metal sealing rings based on response surface by CHEN Zhen, RAN Qingjie, CHEN Nengpeng, WANG Qiaomu

“…On this basis, the Box-Behnken design is used to construct a four-factor and three-level experimental scheme, and a second-order response surface agent model is established by 25 sets of simulation data, with the dual optimization objectives of minimizing the equivalent force and maximizing the contact pressure, and the relationship between the structural parameters and the equivalent force and the contact pressure as the optimization function, and the range of geometrical parameters as the boundary conditions. …”
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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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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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