Social environment and brain structure in adolescent mental health: A cross-sectional structural equation modelling study using IMAGEN data. by Jessica Stepanous, Luke Munford, Pamela Qualter, Tobias Banaschewski, Frauke Nees, Rebecca Elliott, IMAGEN Consortium

“…The current study addressed that gap by applying structural equation modelling to IMAGEN data from adolescents aged 14 years (n = 1950). …”
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SemantiPack: An Efficient Real-World Data Compressor Using Structural and Semantic Metadata by Yoshiteru Nagata, Daiki Kohama, Yoshiki Watanabe, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

“…The exponential growth of Real-World Data (RWD), primarily collected from IoT sensors and spanning domains such as mobility, environment, and energy consumption, presents critical challenges due to its scale, heterogeneity, and structural variability. …”
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Ancestor regression in structural vector autoregressive models by Schultheiss Christoph, Ulmer Markus, Bühlmann Peter

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Adaptation of k-means to automated forecasting of poorly structured time series of economic dynamics by Dunskaia Lada, Popova Elena

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Semantic web ontology for structured knowledge representation and clinical decision support in eye diseases by Fatima Anjum, Fahad Maqbool, Muhammad Saad Razzaq, Hafiz Muhammad Faisal Shehzad, Shujaat Ali, Dilawar Shah, Muhammad Tahir, Muhammad Ilyas

“…Ontologies are used as excellent tools for organizing and managing complicated information due to their structured representations of domain knowledge and to make data more findable, accessible, interoperable, and reusable. …”
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Large Language Model-Driven Structured Output: A Comprehensive Benchmark and Spatial Data Generation Framework by Diya Li, Yue Zhao, Zhifang Wang, Calvin Jung, Zhe Zhang

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Constructing Rasterized Covariates from LiDAR Point Cloud Data via Structured Query Language by Rory Pittman, Baoxin Hu

Subjects: “…structured query language (SQL)…”
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Enhancing structured data generation with GPT-4o evaluating prompt efficiency across prompt styles by Ashraf Elnashar, Jules White, Douglas C. Schmidt

Subjects: “…structured data generation…”
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UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data by Lijun Fan, Shichao Yi, Wenrui Guan, Pingxin Wang

“…Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have utilized GCNs for data with Euclidean structures. such as image data and language data, and achieved good results, expanding the application scope of GCN. …”
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Advancing plant metabolic research by using large language models to expand databases and extract labeled data by Rachel Knapp, Braidon Johnson, Lucas Busta

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23 Generative artificial intelligence for automated unstructured MRI data extraction in prostate cancer care by William Pace, Andrew Liu, Marvin Carlisle, Robert Krumm, Janet Cowan, Peter Carroll, Matthew Cooperberg, Anobel Odisho

“…Objectives/Goals: Magnetic resonance imaging (MRI) reports are stored as unstructured text in the electronic health record (EHR), rendering the data inaccessible. …”
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Semantic SLAM using laser-vision data fusion: Enhancing autonomous navigation in unstructured environments by Ning Chen, Dong Wei, Dongsheng Lin, Linhan Lin

“…Semantic maps, which embed semantic information into spatial representations, enable robots to better interpret complex environments and improve their autonomous operation in unstructured, GPS-denied, and extreme settings. In this context, an advanced semantic SLAM algorithm, termed NN-SLAM, is proposed based on the fusion of visual and laser data. …”
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Research on Data Transfer Method for Multi-physics Coupling Based on Unstructured Mesh Monte Carlo by LI Rui1, LIU Shichang1, , WANG Lipeng2, WANG Zhenyu1, CHEN Yixue1

“…Among these, the neutronic-thermal-mechanical coupling and neutronic-thermal-fluid coupling analyses have a significant impact on the reactor design. In addressing the data transfer issues in the multiphysics coupling process of reactors, this study employs a hybrid approach that integrates unstructured mesh (UM) Monte Carlo with finite element methods. …”

The Influence of Ownership Structure on the Financial Performance of Banks by Sigit Pamungkas, Muchtar Hidayat, Muhammad Syarif, Farah Margaretha Leon, Henny S. Lestari

Subjects: “…Ownership Structure, Financial Performance, Banking, Panel Data Regression, Indonesia Stock Exchange…”
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The Hybrid Market Segmentation of Electric Vehicles in Ukraine Using Data Science Methods by Andrusyk Yevhenii V., Guryanova Lidiya S.

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THE EFFECT OF GIVING ILL-STRUCTURED MATH PROBLEM AND WELL-STRUCTURED MATH PROBLEM ON THE SELF-EFFICACY OF JUNIOR HIGH SCHOOL STUDENTS by Indri Aninda Rahmasari, Susanah Susanah

“… This study aimed to determine the effect of giving ill-structured problems and well-structured problems to students' self-efficacy. …”
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Graph Neural Network Learning on the Pediatric Structural Connectome by Anand Srinivasan, Rajikha Raja, John O. Glass, Melissa M. Hudson, Noah D. Sabin, Kevin R. Krull, Wilburn E. Reddick

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A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data by X. Peng, F. J. Qin, Q. W. Yang, H. Chen

“…It was found that the proposed method can successfully identify the location and extent of structural damage even if the used data have gross errors.…”
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Subdivisions and crossroads: Identifying hidden community structures in a data archive’s citation network by Sara Lafia, Lizhou Fan, Andrea Thomer, Libby Hemphill

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Data-intelligence driven methods for durability, damage diagnosis and performance prediction of concrete structures by Fan Li, Daming Luo, Ditao Niu

“…Abstract A large number of in-service reinforced concrete structures are now entering the mid-to-late stages of their service life. …”
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