Showing 761 - 780 results of 53,088 for search '(structures OR structured) data', query time: 0.28s Refine Results
  1. 761
  2. 762

    A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses. by William T Harvey, Vinny Davies, Rodney S Daniels, Lynne Whittaker, Victoria Gregory, Alan J Hay, Dirk Husmeier, John W McCauley, Richard Reeve

    Published 2023-03-01
    “…We show that incorporating protein structural data into variable selection helps resolve ambiguities arising due to correlated signals, with the proportion of variables representing haemagglutinin positions decisively included, or excluded, increased from 59.8% to 72.4%. …”
    Get full text
    Article
  3. 763
  4. 764

    PATIENTS WITH ATRIAL FIBRILLATION IN MULTIDISCIPLINARY HOSPITAL: STRUCTURE OF HOSPITALIZATION, CONCOMITANT CARDIOVASCULAR DISEASES AND DRUG TREATMENT (DATA OF RECVASA AF-TULA REGISTRY) by M. N. Valiakhmetov, T. A. Gomova, M. M. Loukianov, S. Yu. Martsevich, K. N. Nadejkina, M. N. Artemova, D. N. Jilin, E. E. Fedotova, A. V. Zagrebelnyy, E. V. Kudryashov, S. A. Boytsov

    Published 2017-09-01
    “…All patients with a diagnosis of AF in the patient's chart (n=1225) were included into the RECVAZA AF-Tula registry; that is 4.2% of 29018 patients hospitalized to the Tula Regional Clinical Hospital in 2013. The structure of the associated cardiovascular diseases, as well as drug therapy, was evaluated on the basis of data in the medical documentation.Results. …”
    Get full text
    Article
  5. 765

    Detachment‐Fault Structure Beneath the TAG Hydrothermal Field, Mid‐Atlantic Ridge, Revealed From Dense Wide‐Angle Seismic Data by Szu‐Ying Lai, G. Bayrakci, B. J. Murton, T. A. Minshull

    Published 2025-02-01
    “…We used dense wide‐angle seismic data to define TAG's detachment structure at a finer scale than has previously been possible. …”
    Get full text
    Article
  6. 766

    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

    Published 2024-12-01
    “…Structural damage identification based on structural health monitoring (SHM) data and machine learning (ML) is currently a rapidly developing research area in structural engineering. …”
    Get full text
    Article
  7. 767

    A comparative study of regression methods to predict forest structure and canopy fuel variables from LiDAR full-waveform data by P. Crespo-Peremarch, L.A. Ruiz, A. Balaguer-Beser

    Published 2016-02-01
    “…Regression methods are widely employed in forestry to predict and map structure and canopy fuel variables. We present a study where several regression models (linear, non-linear, regression trees and ensemble) were assessed. …”
    Get full text
    Article
  8. 768

    Structure of snow-­ice dams of the outburst lakes in the Broknes Peninsula (Larsemann Hills, East Antarctica) based on ground­penetrating radar data by S. D. Grigoreva, E. R. Kiniabaeva, M. R. Kuznetsova, S. V. Popov, M. P. Kashkevich

    Published 2021-05-01
    “…During the summer field season of the 65th Russian Antarctic Expedition a research aimed at studying the structure of the snow-­ice dams of the Lakes Progress and Discussion (Larsemann Hills, East Antarctica), which are characterized with annual outburst floods, was carried out. …”
    Get full text
    Article
  9. 769

    A nonparametric approach for detecting urban polycentric spatial structure in China using remote sensing nighttime light and point of interest data by Linlin Jiang, Yizhen Wu, Junru Wang, Huiran Han, Kaifang Shi

    Published 2024-12-01
    “…Effectively identifying urban polycentric spatial structure (UPSS) is essential for data-driven evaluation of urban performance, and it serves as a scientific basis for urban spatial planning. …”
    Get full text
    Article
  10. 770
  11. 771

    Restoration Study of a Masonry Monumental Building in Thrapsano, Greece by Barbara Charalambidi, Maria E. Stavroulaki, Georgios E. Stavroulakis

    Published 2025-04-01
    “…Advanced numerical simulations, validated through experimental data, were employed to model the pre- and post-retrofit behavior of the structure. …”
    Get full text
    Article
  12. 772

    Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging by Chun-Han Chang, Stefano Sfarra, Nan-Jung Hsu, Yuan Yao

    Published 2023-12-01
    “…The study focuses on reducing noise and nonstationary backgrounds in data collected through active infrared thermography (AIRT) for defect detection in materials. …”
    Get full text
    Article
  13. 773
  14. 774
  15. 775

    Primary disability of children in the Astrakhan region: analysis of statistical data for 2018-2022 by A. A. Antonova, E. B. Starodubova, A. A. Svetlichkina, S. I. Stepanova, E. O. Bobyr

    Published 2024-05-01
    “…A systematic analysis of primary childhood disability and its structure in the Astrakhan region for 2018-2022 was carried out. …”
    Get full text
    Article
  16. 776
  17. 777

    Exploring Structural Characteristics of Lattices in Real World by Yu Chen, Jinguo You, Benyuan Zou, Guoyu Gan, Ting Zhang, Lianyin Jia

    Published 2020-01-01
    “…To the best of our knowledge, no work has paid enough attention to this challenging issue from the perspective of graph data, in spite of the importance of structures in lattice data. …”
    Get full text
    Article
  18. 778
  19. 779
  20. 780

    Coding structure of highway engineering information model by LIANG Cai, WANG Changhai

    Published 2022-07-01
    “…Model identification code is the key to the data integration and effective transmission of highway engineering information model from the early stage of design to project construction and operation management, so as to form structured data for integrated management and analysis. …”
    Get full text
    Article