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The vertical structure of the eastern Pacific ITCZs and associated circulation using the TRMM Precipitation Radar and in situ data
Published 2016-08-01“…Reanalysis and satellite‐based data are shown to be unreliable for describing the vertical structure of the circulation.…”
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DEEP STRUCTURE OF THE SIBERIAN PLATFORM – CENTRAL ASIAN MOBILE BELT TRANSITION ZONE FROM TELESEISMIC DATA
Published 2016-03-01Get full text
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Detection and functional assessment of structural variants using whole-genome re-sequencing data in Nellore cattle
Published 2025-08-01“…Thus, this study aimed to detect structural variants using whole genome re-sequencing (WGS) data and identify positional candidate genes and quantitative trait loci (QTL) overlapping the most frequent SV regions in Nellore cattle. …”
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Recognition of Underwater Engineering Structures Using CNN Models and Data Expansion on Side-Scan Sonar Images
Published 2025-02-01Subjects: Get full text
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Efficient Structural Damage Detection with Minimal Input Data: Leveraging Fewer Sensors and Addressing Model Uncertainties
Published 2024-10-01Subjects: “…structural damage…”
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Mapping the Intellectual Structure of Tourism Event Research: A Bibliometric Study Based on Web of Science Data
Published 2025-06-01“…Citation analysis identifies seminal works that have shaped the intellectual structure of event tourism, with Donald Getz emerging as the most influential author. …”
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Identification of the Geological Structure of Jagoi Babang District and Surrounding Areas in Bengkayang Regency Using Gravity Data
Published 2024-08-01“…The regional anomaly of the study area is 37.5 mGal to 46 mGal, while the residual anomaly is -6 mGal to 8 mGal. Residual anomaly data is used for modeling subsurface structures and Second Vertical Derivative (SVD) analysis of 2 trajectories. …”
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Constructing Rasterized Covariates from LiDAR Point Cloud Data via Structured Query Language
Published 2024-12-01Subjects: Get full text
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Blue shark conservation in the Indian Ocean: data-limited insights on population structure, distribution, and stock assessments
Published 2025-04-01Subjects: Get full text
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Capitalizing on the wealth of chemical data in the accretionary structures of aquatic taxa: Opportunities from across the tree of life
Published 2025-02-01“…Abstract Aquatic organisms are natural data loggers and record chemical variations within hardened accretionary structures like shells and teeth. …”
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Drug Therapy Structure and Clinical Characteristics of Patients with Atrial Fibrillation According to Data of REKUR-AF Study
Published 2018-11-01“…When analyzing the outpatient charts of the studied patients, demographic data, the type and duration of AF, cardiovascular diseases (CVD), concomitant noncardiac pathology, laboratory and instrumental examination data, information about hospitalizations for the last year, pharmacotherapy were recorded. …”
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Characterization of the tectonic structures on the Tibetan Plateau using gravity anomaly data and an improved edge detection method
Published 2025-07-01“…Abstract Edge detection plays an important role in interpreting geophysical potential field data and revealing faults, contacts, and other linear tectonic structures. …”
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Enhancing structured data generation with GPT-4o evaluating prompt efficiency across prompt styles
Published 2025-03-01Subjects: “…structured data generation…”
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Barriers to the Adoption of Big Data Analytics in Saudi Arabia’s Manufacturing Sector: An Interpretive Structural Modeling Approach
Published 2025-04-01“…However, there exist several barriers that undermine the successful adoption of big data analytics in these industries. This paper presents a structural analysis of the barrier to big data analytics adoption in manufacturing industries. …”
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Hierarchical Information-Extreme Machine Learning of Hand Prosthesis Control System Based on Decursive Data Structure
Published 2024-11-01“…The distinctiveness of the developed method from known machine learning methods was in applying a hierarchical data structure as a decursive binary tree, which allowed for transitioning from multi-class machine learning to two-class learning for each stratum of the decursive tree. …”
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