Numerical power prediction for waDED produced aluminium ER5183 wall structures on vertical substrate plates by Fabio Haunreiter, Hugo Drexler, Martin Schnall, Alois Birgmann, Johannes Kronsteiner, Thomas Kopf, David Gruber, Pauline Meyer-Heye, Matthias Hartmann

“…Experiments using tungsten inert gas (TIG) welding and aluminium substrate plates are conducted to obtain data required for the calibration of the finite element method (FEM) model. …”
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Extensional forearc structures at the transition from Alaska to Aleutian Subduction Zone: slip partitioning, terranes and large earthquakes by Kahrizi, Amin, Delescluse, Matthias, Chamot-Rooke, Nicolas, Pubellier, Manuel, Bécel, Anne, Shillington, Donna, Nedimović, Mladen, Bulois, Cédric

“…Using legacy seismic profiles and modern multichannel seismic data, we update the structural map of the area, focusing on the intersection between trench-parallel, landward-dipping normal faults rooting in the plate interface and trench-oblique to trench-perpendicular normal faults, all showing signs of recent activity. …”
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Stage-Dependent Microphysical Structures of Meiyu Heavy Rainfall in the Yangtze-Huaihe River Valley Revealed by GPM DPR by Zhongyu Huang, Leilei Kou, Peng Hu, Haiyang Gao, Yanqing Xie, Liguo Zhang

“…We classified the heavy rainfall events into three life stages of developing, mature, and dissipating using ERA5 reanalysis and IMERG precipitation estimates, and examined vertical microphysical structures using Dual-frequency Precipitation Radar (DPR) data from the Global Precipitation Measurement (GPM) satellite during the Meiyu period from 2014 to 2023. …”
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Global Research Trends in Biomimetic Lattice Structures for Energy Absorption and Deformation: A Bibliometric Analysis (2020–2025) by Sunny Narayan, Brahim Menacer, Muhammad Usman Kaisan, Joseph Samuel, Moaz Al-Lehaibi, Faisal O. Mahroogi, Víctor Tuninetti

“…Notably, the integration of artificial intelligence into structural modeling is accelerating a shift toward data-driven design frameworks. …”
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Identifying important and feasible primary care structures and processes in the US healthcare system: a modified Delphi study by Daphna Harel, Bryan J Weiner, Saul B Blecker, Ann M Nguyen, Maggie M Paul, Stephanie L Albert, Lorraine Kwok, Donna R Shelley, Charles M Cleland, Deborah J Cohen, Laura Damschroder, Carolyn A Berry

“…Objective To identify primary care structures and processes that have the highest and lowest impact on chronic disease management and screening and prevention outcomes as well as to assess the feasibility of implementing these structures and processes into practice.Design A two-round Delphi study was conducted to establish consensus on the impact and feasibility of 258 primary care structures and processes.Participants 29 primary care providers, health system leaders and health services researchers in the USA.Outcomes Primary outcomes were (1) consensus on the impact of each structure and process on chronic disease management and screening and prevention outcomes, separately and (2) consensus on feasibility of implementation by primary care practices.Results Consensus on high impact and feasibility of implementation was reached on four items for chronic disease management: ‘Providers use motivational interviewing to help patients set goals’, ‘Practice has designated staff to manage patient panel’, ‘Practice has onsite providers or staff that speak the most dominant, non-English language spoken by patients’ and ‘Practice includes mental health providers and/or behavioural health specialists in care team’ and seven items for screening and prevention: ‘Practice utilizes standing protocols and orders’, ‘Practice generates reports to alert clinicians to missed targets and to identify gaps in care, such as overdue visits, needed vaccinations, screenings or other preventive services’, ‘Practice has designated staff to manage patient panel’, ‘Practice sets performance goals and uses benchmarking to track quality of care’, ‘Practice uses performance feedback to identify practice-specific areas of improvement’, ‘Practice builds quality improvement activities into practice operations’ and ‘Pre-visit planning data are reviewed during daily huddles’. …”
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Associations of ambient air pollution exposure and sleep pattern with brain structures: A prospective study in the UK Biobank by Ting Song, Xiyin Qiu, Jialong Wu, Huan Xu, Juying Zhang, Bing Guo, Xing Zhao

“…However, no study has explored the impact of sleep conditions (sleep behaviors and sleep patterns) on the associations between AP and brain structures. Methods: This study included over 21,000 participants from the UK Biobank. …”
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A novel approach for snow depth retrieval in forested areas by integrating horizontal and vertical canopy structures information by Shanna Yue, Liyun Dai, Jie Deng, Yanxing Hu, Lin Xiao, Tao Che

“…In this study, a normalized maximum stem volume (NMSV) index was constructed by combining canopy height and tree cover data obtained through remote sensing techniques. …”
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Enhanced prediction of ionic liquid toxicity using a meta-ensemble learning framework with data augmentation by Safa Sadaghiyanfam, Hiqmet Kamberaj, Yalcin Isler

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PF-PSS: a double-layer parallel embedded feature selection method for cancer gene expression data by Yu-Wei Song, Jie-Sheng Wang, Yu-Liang Qi, Yu-Cai Wang, Shi Li, Hao-Ming Song, Yi-Peng Shang-Guan

“…To address the issues of feature selection (FS) and cancer subtype diagnosis for cancer gene expression data, a novel FS method with a double-layer parallel embedded structure has been proposed. …”
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Implementation of Differentiated Learning with Project Based Learning Model to Increase Students' Interest and Learning Outcomes on Molecular Structure Material by Sunartri Sunartri

“… This is a Classroom Action Research (CAR) that aims to increase students' interest and learning outcomes in class XI chemistry material, which is the structure of molecules, at SMA Negeri 1 Cangkringan, Sleman, Yogyakarta. with a total of 34 students. …”
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Advanced predictive modeling of shear strength in stainless-steel column web panels using explainable AI insights by Sina Sarfarazi, Rabee Shamass, Federico Guarracino, Ida Mascolo, Mariano Modano

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Stiffeners (Khashkhāshi) in the Design of Iranian Detached Double-Shell Onion Domes: Rethinking the Definition based on the Study of Structural Form by Hadi Safaeipour

“…One of the most innovative structural technologies in Iranian Islamic architecture is the detached double-shell onion dome consisting of the outer shell, inner shell, drum, and usually stiffeners. …”
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Structural Controls on Cu Metallogenesis in the Dehaj Area, Kerman Porphyry Copper Belt, Iran: A Remote Sensing Perspective by G. Mirzababaei, J. Shahabpour, A. Zarasvandi, S. M. Hayatolgheyb

“…Structural analysis of remotely sensed data provides a method of assessing the structural significance of regional metallogenesis in the Dehaj area as the northwestern part of the Kerman porphyry Cu belt. …”
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A dataset on forest stand structures, deadwood, and tree-related microhabitats along an urban-periurban gradient in Central ItalyFigshare by Costanza Borghi, Soraya Versace, Elena Di Pirro, Davide Travaglini, Gherardo Chirici, Bruno Lasserre, Marco Marchetti, Giovanni D’Amico, Elia Vangi, Saverio Francini, Marco Montella, Giovanni Santopuoli, Marco Ottaviano, Francesco Parisi

“…This database provides accessible and georeferenced information on forest structure, tree-related microhabitats, and deadwood of 12 urban forests located in 12 different urban parks across three Italian cities, Florence, Rome, and Campobasso. …”
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High-resolution (10 m) dataset of multi-crop planting structure on the Loess Plateau during 2018–2022 by Xining Zhao, Jichao Wang, Yelu Ding, Xiaodong Gao, Changjian Li, Hongwei Huang, Xuerui Gao

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TXM-Pal: a companion software for advanced data processing in spectroscopic X-ray microscopy by Sugeun Jo, Sangwoo Kim, Jun Lim

“…It utilizes X-ray absorption near-edge structure (XANES) for the chemically sensitive mapping of specific elements, making it particularly effective for studying heterogeneous systems. …”
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Integrating AI and statistical methods for enhancing civil structural practices: current trends, practical issues, and future direction by Asraar Anjum, Meftah Hrairi, Abdul Aabid Shaikh, Noorfazrina Yatim, Maisarah Ali

“…It emphasizes the significant roles these methods play in addressing modern challenges such as structural health monitoring, damage detection, seismic design optimization, and concrete condition assessment. …”
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Integrating AI and statistical methods for enhancing civil structural practices: current trends, practical issues, and future direction by Asraar Anjum, Meftah Hrairi, Abdul Aabid Shaikh, Noorfazrina Yatim, Maisarah Ali

“…It emphasizes the significant roles these methods play in addressing modern challenges such as structural health monitoring, damage detection, seismic design optimization, and concrete condition assessment. …”
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Optimising Sensor Placement in Heritage Buildings: A Comparison of Model-Based and Data-Driven Approaches by Estefanía Chaves, Alberto Barontini, Nuno Mendes, Víctor Compán

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Multi-detachment-controlled thrust structures and deep hydrocarbon exploration targets in southern margin of Junggar Basin, NW China by Baoli YU, Chengzao JIA, Keyu LIU, Yong DENG, Wei WANG, Peng CHEN, Chao LI, Jia CHEN, Boyang GUO

“…Based on the latest 3D seismic, gravity-magnetic, and drilling data, together with the results of previous structural physical simulation and discrete element numerical simulation experiments, the spatial distribution of pre-existing paleo-structures and detachment layers in deep strata of southern Junggar Basin were systematically characterized, the structural deformation characteristics and formation mechanisms were analyzed, the distribution patterns of multiple hydrocarbon source rock suites were clarified, and hydrocarbon accumulation features in key zones were reassessed. …”
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