Showing 50,001 - 50,020 results of 50,948 for search 'data application', query time: 0.37s Refine Results
  1. 50001

    Unveiling the dynamic effects of major depressive disorder and its rTMS interventions through energy landscape analysis by Chun-Wang Su, Chun-Wang Su, Yurui Tang, Nai-Long Tang, Nai-Long Tang, Nian Liu, Nian Liu, Jing-Wen Li, Shun Qi, Hua-Ning Wang, Zi-Gang Huang, Zi-Gang Huang

    Published 2025-03-01
    “…Future studies should further explore the clinical applications of these markers and the comprehensive dynamical effects of rTMS intervention.…”
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    Article
  2. 50002
  3. 50003

    Identifying High-Risk Atrial Fibrillation in Diabetes: Evidence from Nomogram and Plasma Metabolomics Analysis by Qiushi Luo, Xiaozhu Ma, Shuai Mei, Qidamugai Wuyun, Li Zhou, Ziyang Cai, Yi Wen, Shitao Wang, Jiangtao Yan, Huaping Li, Jiahui Fan, Meiyan Dai

    Published 2025-06-01
    “…<b>Methods</b>: A clinical risk score was developed using data from the National Health and Nutrition Examination Survey (NHANES) and validated in an independent cohort from Tongji Hospital. …”
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    Article
  4. 50004

    Investigation of crystal structure and chemical bonds characteristics on microwave properties of novel Ca-doped Sr1–xCaxTm2O4 (x=0.025–0.300) ceramics by Wenjie Zhang, Yanjun Liu, Guoqiang He, Ziqi Zhao, Yuan Nie, Yiwen Ma, Fangyi Huang, Huanfu Zhou

    Published 2025-09-01
    “…Systematical investigations on the impact of Ca2+ on their microstructures, sintering behaviors, and microwave dielectric properties were detailly conducted. The combined XRD data and subsequent refinement demonstrated that all samples exhibited structural conformity with SrTm2O4 and belonged to Pnam space group. …”
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    Article
  5. 50005
  6. 50006

    High-Resolution FMCW Radar for Small UAV Detection Using GNU Software-Defined Radio by P. Janpangngern, P. Changnam, W. Charoensiri, S. Samroeng, J. Pakprom, C. Thongsopa, A. Intarapanich, T. Thosdeekoraphat, N. Santalunai, S. Santalunai

    Published 2025-01-01
    “…The USRP B210 handles signal acquisition and processing, applying two-dimensional Fast Fourier Transform (FFT) techniques to extract doppler shift information. The processed data is visualized as a range-doppler map, facilitating effective target tracking. …”
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    Article
  7. 50007
  8. 50008

    The diagnostic and prognostic capability of artificial intelligence in spinal cord injury: A systematic review by Saran Singh Gill, Hariharan Subbiah Ponniah, Sho Giersztein, Rishi Miriyala Anantharaj, Srikar Reddy Namireddy, Joshua Killilea, DanieleS.C. Ramsay, Ahmed Salih, Ahkash Thavarajasingam, Daniel Scurtu, Dragan Jankovic, Salvatore Russo, Andreas Kramer, Santhosh G. Thavarajasingam

    Published 2025-01-01
    “…However, the lack of standardised frameworks and external validation limits clinical applicability. Future models should integrate multimodal data, including imaging, patient characteristics, and clinician judgment, to improve utility and alignment with clinical practice.…”
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    Article
  9. 50009

    The Usage of Lion’s Mane in Sports and Its Metabolic Impact – a literature review by Karolina Stankevič, Kamila Fuczyło, Ewelina Kopczyńska, Piotr Kulej, Wiktor Biesiada, Justyna Weronika Kmieć, Justyna Woźniak, Anna-Mariia Chernysh, Aleksandra Dusińska, Jakub Waszczyński

    Published 2025-01-01
    “…Purpose of the Work: The aim of this study is to review the current data on the usage of Hericium erinaceus in sports performance and metabolic health. …”
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    Article
  10. 50010

    Fecal Microbiota Transplantation: A Systematic Review of Therapeutic Potential, Preparation Techniques, and Delivery Methods Across Medical Conditions by Syamand Ahmed Qadir, Qausar Hamed ALKaisy, Abdulbasit F. Hasan, Farhang Hameed Awlqadr, Ammar B. Altemimi, Aryan Mahmood Faraj, Angelo Maria Giuffrè, Mohammed N. Saeed, Sherzad Rasul Abdalla

    Published 2024-11-01
    “…However, further research is essential to establish optimized procedures, standardized guidelines, and long-term safety data to facilitate its integration into mainstream medical practice. …”
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    Article
  11. 50011

    Diagnostic Benefit of Simultaneous Capsule Endoscopy Using Two Different Systems by Seung Han Kim, Hyuk Soon Choi, Hoon Jai Chun, Eun Sun Kim, Bora Keum, Yeon Seok Seo, Yoon Tae Jeen, Hong Sik Lee, Soon Ho Um, Chang Duck Kim

    Published 2018-01-01
    “…Adverse events or electrical interference during data transmission between the two capsule endoscopes were not detected. …”
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  12. 50012

    Recursive Class Connectivity Classification (R3C) Applied to Binary Image Segmentation for Improved Infant Fingerprint Enhancement by Joao Leonardo Harres Dall Agnol, Luiz Fernando Puttow Southier, Jefferson Tales Oliva, Marcelo Teixeira, Rodrigo Minetto, Marcelo Filipak, Dalcimar Casanova, Erick Oliveira Rodrigues

    Published 2025-01-01
    “…R3C does not require modifications to the underlying classifier and operates without training data, which is not currently available for infant fingerprints. …”
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  13. 50013
  14. 50014

    Review of Research on Foundation Scour of River-Crossing Bridges by WANG Lu, LIU Hong-wei, WEI Kai, Bruce Melville, NIE Rui-hua

    Published 2025-07-01
    “…Data-driven models such as artificial neural networks and deep learning can effectively compensate for the inability of conventional prediction methods for bridge foundation scour to account for complex boundary conditions. …”
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    Article
  15. 50015

    Monosaccharide coating modulate the intracellular trafficking of gold nanoparticles in dendritic cellsKey findings by Meshal A. Alobaid, Sarah-Jane Richards, Morgan R. Alexander, Matthew I. Gibson, Amir M. Ghaemmaghami

    Published 2024-12-01
    “…These findings highlight the utility of carbohydrate coatings to enable more targeted delivery of nanoparticles and their payload to distinct intracellular compartments in immune cells with potential applications in drug delivery and immunotherapy.…”
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  16. 50016

    Identification of sex-specific markers using genome re-sequencing in the blunt snout bream (Megalobrama amblycephala) by Yuye Fu, Lifei Luo, Shilong Wang, Yue Yu, Yao Wang, Zexia Gao

    Published 2024-10-01
    “…One of these markers showed potential applicability in M. pellegrini as well, enabling males to be identified using this specific molecular marker. …”
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  17. 50017

    Taxonomic hierarchical loss function for enhanced crop and weed phenotyping in multi-task semantic segmentation by Artzai Picon, Daniel Mugica, Itziar Eguskiza, Arantza Bereciartua-Perez, Javier Romero, Carlos Javier Jimenez, Christian Klukas, Laura Gomez-Zamanillo, Till Eggers, Ramon Navarra-Mestre

    Published 2025-03-01
    “…This enhancement forces the model to learn richer hierarchical representations, enabling the support of heterogeneous and partially annotated scalable datasets, which are common in real-world AI applications.…”
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  18. 50018

    Unraveling Aerosol and Low-Level Cloud Interactions Under Multi-Factor Constraints at the Semi-Arid Climate and Environment Observatory of Lanzhou University by Qinghao Li, Jinming Ge, Yize Li, Qingyu Mu, Nan Peng, Jing Su, Bo Wang, Chi Zhang, Bochun Liu

    Published 2025-04-01
    “…The response of low-level cloud properties to aerosol loading remains ambiguous, particularly due to the confounding influence of meteorological factors and water vapor availability. We utilize long-term data from Ka-band Zenith Radar, Clouds and the Earth’s Radiant Energy System, Modern-Era Retrospective analysis for Research and Applications Version 2, and European Centre for Medium-Range Weather Forecasts Reanalysis v5 to evaluate aerosol’s effects on low-level clouds under the constrains of meteorological conditions and liquid water path (LWP) over the Semi-Arid Climate and Environment Observatory of Lanzhou University during 2014–2019. …”
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  19. 50019
  20. 50020

    Modeling functional connectivity changes during an auditory language task using line graph neural networks by Stein Acker, Jinqing Liang, Ninet Sinaii, Kristen Wingert, Atsuko Kurosu, Sunder Rajan, Sara Inati, William H. Theodore, Nadia Biassou, Nadia Biassou

    Published 2024-11-01
    “…However, traditional GNNs are limited in their ability to characterize FC edge attributes because they typically emphasize the importance of ROI node-based brain activation data. Line GNNs convert the edges of the original graph to nodes in the transformed graph, thereby emphasizing the FC between brain regions. …”
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