Automated system for high-throughput process-structure-property dataset generation of structural materials: A γ/γ′ superalloy case study by Thomas Hoefler, Ayako Ikeda, Toshio Osada, Toru Hara, Kyoko Kawagishi, Takahito Ohmura

“…An estimated 200 times faster than conventional methods using tensile testing specimens, a complete Process-Structure-Property (P-S-P) dataset is created from a single sample. …”
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Estimating Subsurface Thermohaline Structure in the Tropical Western Pacific Using DO-ResNet Model by Xianmei Zhou, Shanliang Zhu, Wentao Jia, Hengkai Yao

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Redefining comorbidity understanding in rheumatoid arthritis through novel approaches using real-world data by Diego Benavent, Chamaida Plasencia-Rodríguez

“…RWD approaches, specifically the use of structured databases or data extracted from electronic health records, offer promising alternatives to overcome the limitations of traditional methodologies. …”
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DETERMINANTS OF STRUCTURAL DIMENSION OF DAILY BEHAVIOUR IN A TRADITIONAL AFRICAN CITY: A CASE STUDY OF ILORIN, NIGERIA by Moses Olutoyin ADEDOKUN

“…The study also shows clearly that the temporal structure of activity in Ilorin is different from what obtains in Western cities where there is flexibility in the usage of time. …”
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Numerical Simulation of Earthquake Impacts on Marine Structures: A Comprehensive Review by Adel Kabi, Jersson X. Leon-Medina, Francesc Pozo

“…This review examines advanced numerical modeling approaches, including CFD, FEM, DEM, FVM, and BEM, to assess the impacts of earthquakes on these structures. These methods provide cost-effective and reliable simulations, demonstrating strong alignment with experimental and theoretical data. …”
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Selecting the Number of Clusters in Mixture Multigroup Structural Equation Modeling by Andres F. Perez Alonso, Jeroen K. Vermunt, Yves Rosseel, Kim De Roover

“…Behavioral scientists often use Multigroup Structural Equation Modeling (MG-SEM) to compare groups in terms of their latent variables (LVs) relations — also called 'structural relations’. …”
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Hands-On Data Gathering by Claudia Mejía de la Pava, Silvia Manessi

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A Time–Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen by Naiwei Lu, Yiru Liu, Jian Cui, Xiangyuan Xiao, Yuan Luo, Mohammad Noori

“…Structural damage identification based on structural health monitoring (SHM) data and machine learning (ML) is currently a rapidly developing research area in structural engineering. …”
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The 102–103° E geodivider in the modern lithosphere structure of Сentral Asia by Yu. G. Gatinsky, T. V. Prokhorova, D. V. Rundquist

“…According to our investigations, the 102–103° E geodivider is a regional geological-geophysical border that may be compared with the Tornquist Line, and, by its scale, with the Uralian and Appalachian fronts and some others large structures.…”
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Managerial and natural disposability in two-stage network structure: a DEA-based approach by Mahnaz Maghbouli, Azam Pourhabib Yekta

Subjects: “…data envelopment analysis (dea)…”
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ACCOUNTING OF CONSTANT LOADS’ VARIABILITY IN CALCULATION OF BUILDINGS’ AND STRUCTURES’ CONSTRUCTIONS by Y. V. Krasnoshchekov

“…However, the constant load has not yet been determined due to the lack of the experimental data, the variability influence of each individual factor: the density of the material and structural dimensions on the reliability coefficients’ value. …”
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Crashworthiness simulation dataset of re-entrant crash box with combined in-plane and out-of-plane filling structureMendeley Data. by Arif Rochman Fachrudin, Moch. Agus Choiron, Anindito Purnowidodo, Yudy Surya Irawan

“…This article presents a dataset generated from finite element simulations of square aluminum crash box with various re-entrant infill structures. The configurations include in-plane, out-of-plane and combined in-plane and out-of-plane geometries. …”
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TRsv: simultaneous detection of tandem repeat variations, structural variations, and short indels using long read sequencing data by Shunichi Kosugi, Chikashi Terao

“…Abstract Tandem repeat copy number variations (TR-CNVs), structural variations (SVs), and short indels have been responsible for many diseases and traits, but no tools exist to distinguish and detect these variants. …”
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Machine learning-based classification of geological structures from magnetic anomaly data: Case study of Northern Nigeria basement complex by Ema Abraham, Ayatu Usman, Ifunanya Amano

“…This study applies a machine learning framework to geomagnetic data to enhance the identification of subsurface mineralized structures. …”
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Tracking climate adaptation in hospitals: An inventory of structural measures by Louise Elstow, Felipe Rojas Parra, Kristen MacAskill

“…We found 125 examples of implemented structural measures intended to adapt hospital facilities to respond more favourably to anticipated changes in climate. …”
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AI in Structural Health Monitoring for Infrastructure Maintenance and Safety by Vagelis Plevris, George Papazafeiropoulos

“…This study explores the growing influence of artificial intelligence (AI) on structural health monitoring (SHM), a critical aspect of infrastructure maintenance and safety. …”
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A Structural Analysis of AI Implementation Challenges in Healthcare by Q Angelina, Khadija Begum, Hee-Cheol Kim, Sushanta Tripathy, Deepak Singhal, Saranjit Singh

“…The order of these challenges was ascertained through interpretive structural modeling, underlining the significance of innovation and data-related issues. …”
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Assessment of Pavement Structural Strength by the Falling Weight Deflectometer by Andrus Aavik, Priit Paabo, Tiit Kaal

“…In 1999, 32 and in 2001 additional 19 FWD test sites were chosen on actual pavement structures to perform FWD measurements annually, once or twice per month from early spring until late autumn. …”
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Structural Situation of Small Ruminant Enterprises in Mardin Province by Veysi ACIBUCA, Dilek BOSTAN BUDAK

Vibration-Based Damage Detection With Structural Modal Characteristics by Yonggang Wang, Yulong Pei, Yangdon Zhao

“…A challenging problem in structural health monitoring systems is the requirement of a systematic, effective method for damage localisation and assessment severity of structures, based on vibration data measured by sensors. …”
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