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  1. 1441

    NOSOLOGICAL STRUCTURE OF ACUTE CORONARY EVENTS AT ADMISSION AND AT DISCHARGE, PATIENT COMPLIANCE AND NEAREST FORECAST (DATA OF THE RACSMI-UZ REGISTER) by G. A. Nagaeva

    Published 2018-12-01
    “…Introduction. Basing on the data of the “RACSMI-UZ” register, the article provides comparative analysis of the structure and transformation of diagnoses during acute coronary conditions in the dynamics (at admission and discharge), assesses patients' adherence to drug therapy depending on gender and also describes analysis of its effect on the short-term prognosis.Material and methods. …”
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  2. 1442

    Estimating vegetation structure and aboveground carbon storage in Western Australia using GEDI LiDAR, Landsat and Sentinel data by Natasha Lutz, Pedro Rodriguez-Veiga, Imma Oliveras Menor

    Published 2024-01-01
    “…Worsening climate change impacts are amplifying the need for accurate estimates of vegetation structure and aboveground biomass density (AGBD) to assess changes in biodiversity and carbon storage. …”
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  3. 1443

    DAGSLAM: causal Bayesian network structure learning of mixed type data and its application in identifying disease risk factors by Yuanyuan Zhao, Jinzhu Jia

    Published 2025-06-01
    “…However, existing DAG structure learning algorithms still have limitations in handling mixed-type data (including continuous and discrete variables), which restricts their practical utility. …”
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  4. 1444

    Hierarchical genetic structure in an evolving species complex: Insights from genome wide ddRAD data in Sebastes mentella. by Atal Saha, Matthew Kent, Lorenz Hauser, Daniel P Drinan, Einar E Nielsen, Jon-Ivar Westgaard, Sigbjørn Lien, Torild Johansen

    Published 2021-01-01
    “…Sebastes mentella displays a particular life-history as livebearers, for which existence of multiple ecotypes has been suspected to complicate the genetic population structure of the species. Double digest restriction-site associated DNA was used to investigate genetic population structure in S. mentella and to scan for evidence of selection. …”
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  5. 1445
  6. 1446

    Geological structure of central Vietnam by interpretation processing of gravitational survey data using the “COSCAD 3D” computer technology by T. H. Phan, A. V. Petrov, M. Ph. Do, M. G. Lai, T. L. Nguyen

    Published 2021-12-01
    “…Interpretation processing of gravity data was carried out using the “COSCAD 3D” computer technology of statistical and spectral correlation data analysis.Results. …”
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  7. 1447
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    Indicator-Type Grey Structure Incidence Analysis Method for Panel Data and Its Application in Identifying Technological Innovation Factors by Shuqin Gu, Yong Liu, Lu Yue

    Published 2025-06-01
    “…There exist many panel data decision problems in real life, and they take on obvious structural similarities and lag effects among decision objects or indicators, which are difficult to solve effectively based on traditional panel data analysis methods. …”
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  10. 1450

    Intelligent Computerized Video Analysis for Automated Data Extraction in Wave Structure Interaction; A Wave Basin Case Study by Samuel Hugh Wolrige, Damon Howe, Hamed Majidiyan

    Published 2025-03-01
    “…Despite advancements in direct sensing technologies, accurately capturing complex wave–structure interactions remain a significant challenge in ship and ocean engineering. …”
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  11. 1451

    Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish by Elisa Myllylä, Pekka Siirtola, Antti Isosalo, Jarmo Reponen, Satu Tamminen, Outi Laatikainen

    Published 2025-07-01
    “…With this approach, unstructured information could be transformed into a structured format. …”
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  12. 1452

    A large-scale dataset of AI-related tweets: Structure and descriptive statisticsGitHubDataverse by Nathalie de Marcellis-Warin, Daniel Kouloukoui, Thierry Warin

    Published 2025-10-01
    “…The final dataset includes structured metadata such as media elements (images, videos, and URLs), user engagement metrics (likes, retweets, replies), hashtags, language codes, and temporal indicators (hour and weekday of posting). …”
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  15. 1455

    Networked Microgrid Energy Management Considering Ownership and Control Structures: A Comparison by Guodong Liu, Michael Starke

    Published 2025-02-01
    “…To solve this issue, a complete comparison of networked microgrid energy management under centralized, distributed and decentralized structures are performed. As a novel contribution, the required minimum data exchange of networked microgrid energy management under three control structures are identified, respectively. …”
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  16. 1456
  17. 1457

    A Deep Learning Method for the Automated Mapping of Archaeological Structures from Geospatial Data: A Case Study of Delos Island by Pavlos Fylaktos, George P. Petropoulos, Ioannis Lemesios

    Published 2025-06-01
    “…By combining these state-of-the-art technologies, this study demonstrates the algorithm’s effectiveness at recognizing and segmenting the ancient structures within the archaeological site of Delos, Greece. …”
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  18. 1458

    Fatigue strength of welded aluminum structures – A re-evaluation of fatigue data of welded aluminum joints with nominal stress approach by Juho Havia, Antti Ahola, Timo Björk

    Published 2025-06-01
    “…This work analyzes the applicability of the nominal stress approach to welded aluminum joints, with respect to the second generation of Eurocode 9: Design of Aluminium Structures and recommendations of International Institute of Welding, utilizing experimental fatigue test data extracted from existing relevant literature. …”
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  19. 1459

    Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics by Mohamed Salem, Witesyavwirwa Vianney Kambale, Ali Deeb, Sergii Tkachov, Anjeza Karaj, Joachim Pichler, Manuel Ludwig Lexer, Kyandoghere Kyamakya

    Published 2025-01-01
    “…The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, where data scarcity and confidentiality constraints limit model training. …”
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  20. 1460