Showing 1,441 - 1,460 results of 53,088 for search '((structures OR (structures OR (structured OR structure))) OR structural) data', query time: 0.40s Refine Results
  1. 1441
  2. 1442

    Multiparity induces persistent myocardial structural, functional and transcriptomic remodelling in mice by Ruth R. Magaye, Bing H. Wang, Hongyi R. Liu, Shanae Bailey, Rithy Nuon, Sabrina Sutano, Michael Nyugen, Helen Kiriazis, Kyah Grigolon, Luchen Shan, William W. H. Ho, Fumihiko Takeuchi, Daniel G. Donner, David M. Kaye

    Published 2025-07-01
    “…We evaluated blood pressure, body composition, gross weight and histologic cardiac structure. Cardiac function was assessed by echocardiography together with transcriptomic analysis of the left ventricular myocardium. …”
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  3. 1443

    Transcriptional patterns of brain structural abnormalities in CSVD-related cognitive impairment by Haixia Mao, Min Xu, Hui Wang, Hui Wang, Yuankun Liu, Feng Wang, Feng Wang, Qianqian Gao, Songyun Zhao, Lin Ma, Xiaoyun Hu, Xiaoxuan Zhang, Guangjun Xi, Guangjun Xi, Xiangming Fang, Yachen Shi, Yachen Shi

    Published 2024-11-01
    “…However, the molecular and cellular factors making the different brain structural regions more vulnerable to CSVD-related cognitive impairment remain largely unknown.Materials and methodsVoxel-based morphology (VBM) was performed on the structural magnetic resonance imaging data of 46 CSVD-related cognitive impairment and 73 healthy controls to analyze and compare the gray matter volume (GMV) between the 2 groups. …”
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    Article
  4. 1444

    Spatiotemporal tensor analysis for effective information mining of hydraulic structures considering environmental excitation and vibration response by Hui Li, Zhang Han, Tengfei Bao, Xiaohan Duan, Guang Yang, Xianyu Xiong, Yibo Ouyang, Jiankang Lou

    Published 2025-05-01
    “…Abstract The vibration response data is a key foundation of vibration-based hydraulic structures’ online damage diagnosis. …”
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    Article
  5. 1445

    A Multi-Scale Unsupervised Feature Extraction Network with Structured Layer-Wise Decomposition by Yusuf Şevki Günaydın, Baha Şen

    Published 2025-06-01
    “…This decomposition enhances the information richness of input data while preserving its structural integrity, making it especially beneficial for grayscale or low-resolution images. …”
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    Article
  6. 1446

    Structuring data analysis projects in the Open Science era with Kerblam! [version 2; peer review: 2 approved] by Federico Alessandro Ruffinatti, Luca Munaron, Luca Visentin

    Published 2025-04-01
    “…Background Structuring data analysis projects, that is, defining the layout of files and folders needed to analyze data using existing tools and novel code, largely follows personal preferences. …”
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    Article
  7. 1447

    Analysis of Development Patterns of Built Land and Spatial Structure in Bandung City Using Landsat 8 Image Data by Mukhoriyah Mukhoriyah, Samsul Arifin, Esthi Kurnia Dewi, Silvia Silvia

    Published 2021-04-01
    “…This study aims to analyze the development pattern of built land and the spatial structure of Bandung City. The data used are the 2015-2020 Landsat 8 time series imagery, the 2019 SPOT-6 imagery, and the administrative boundary map. …”
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  8. 1448
  9. 1449

    Regional Geological Data on the Volturno Basin Filling and Its Relationship to the Massico Structure (Southern Tyrrhenian Sea, Italy) by Gemma Aiello

    Published 2025-01-01
    “…This section has been integrated with multichannel seismic data of Zone E (ViDEPI project) to highlight its relationships with the Massico structure. …”
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  10. 1450

    Modeling Worldwide Tree Biodiversity Using Canopy Structure Metrics from Global Ecosystem Dynamics Investigation Data by Jin Xu, Kjirsten Coleman, Volker C. Radeloff, Melissa Songer, Qiongyu Huang

    Published 2025-04-01
    “…One of our new GEDI metrics, representing canopy structure complexity, was among the top five most important features. …”
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    Article
  11. 1451

    BLOCK STRUCTURE OF THE SOUTHERN KURAI BASIN OF GORNY ALTAI ACCORDING TO GEOELECTRIC DATA COMPARED TO THE DISTRIBUTION OF EARTHQUAKE EPICENTERS by A. M. Sanchaa, N. N. Nevedrova, P. V. Ponomarev

    Published 2019-03-01
    “…In our study of the Southwestern trough, it is established that most of the earthquakes concentrated in active fault structures separating the blocks of varying depths, which are identified from the geoelectric data. …”
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  12. 1452
  13. 1453
  14. 1454

    New data on the structure and motion of the ice sheet in the area of a runway of the Novolazarevskaya Reserch Station (East Antarctica) by A. S. Boronina, M. P. Kashkevich, S. V. Popov, E. M. Mikhailov, A. E. Druzhin

    Published 2024-12-01
    “…The central part of the runway appears to be the most complex in structure, demonstrating relatively high deformations in the marginal parts and characterized by large vertical structures in the glacier. …”
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  15. 1455
  16. 1456

    Local structure of solid and liquid gold probed by reverse Monte Carlo analysis of X-ray absorption data by Nodoka Hara, Fabio Iesari, Toshihiro Okajima, Andrea Di Cicco

    Published 2025-03-01
    “…The increase in computational capabilities of modern computers has allowed us to develop new accurate methods for EXAFS (extended X-ray absorption fine structure) data-analysis. In particular, the RMC-GNXAS package provides models of the three-dimensional structure applying the reverse Monte Carlo (RMC) method to EXAFS of condensed or molecular systems. …”
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  17. 1457
  18. 1458

    Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sitesZenodo by W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi

    Published 2025-06-01
    “…A total of 35 LiDAR metrics were calculated, of which 28 represent vegetation structural attributes. These include vegetation height (seven metrics), vegetation cover (fourteen metrics), and vegetation vertical variability (seven metrics). …”
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  19. 1459

    Structuring data analysis projects in the Open Science era with Kerblam! [version 1; peer review: 2 approved] by Federico Alessandro Ruffinatti, Luca Munaron, Luca Visentin

    Published 2025-01-01
    “…Background Structuring data analysis projects, that is, defining the layout of files and folders needed to analyze data using existing tools and novel code, largely follows personal preferences. …”
    Get full text
    Article
  20. 1460

    Debiasing Structure Function Estimates from Sparse Time Series of the Solar Wind: A Data-driven Approach by Daniel Wrench, Tulasi N. Parashar

    Published 2025-01-01
    “…Structure functions (SFs), which quantify the moments of increments of a stochastic process, are essential complementary statistics to power spectra for analyzing the self-similar behavior of a time series. …”
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