Showing 3,021 - 3,040 results of 3,741 for search '(( (resource OR resources) utilization function ) OR ( (source OR sources) utilization function ))', query time: 0.40s Refine Results
  1. 3021

    Assessing Mangrove Forest Recovery in the British Virgin Islands After Hurricanes Irma and Maria with Sentinel-2 Imagery and Google Earth Engine by Michael R. Routhier, Gregg E. Moore, Barrett N. Rock, Stanley Glidden, Matthew Duckett, Susan Zaluski

    Published 2025-07-01
    “…Advances in remote sensing techniques and approaches are critical to providing robust quantitative monitoring of post-storm mangrove forest recovery to better prioritize the often-limited resources available for the restoration of these storm-damaged habitats. …”
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    Article
  2. 3022

    5G-MobiCare: A Secure 5G Assisted Remote Mobile Health Monitoring Platform by Hemangi Goswami, Tarun Pandey, Hiten Choudhury

    Published 2025-01-01
    “…Lightweight cryptographic techniques, including Elliptic Curve Cryptography (ECC), one-way hash functions, and XOR operations, address the resource constraints of medical sensors. …”
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  3. 3023

    Celastrol-loaded ginsenoside Rg3 liposomes boost immunotherapy by remodeling obesity-related immunosuppressive tumor microenvironment in melanoma by Hongyan Zhang, Jingyi Huang, Yujie Li, Wanyu Jin, Jiale Wei, Ninghui Ma, Limei Shen, Mancang Gu, Chaofeng Mu, Donghang Xu, Yang Xiong

    Published 2025-05-01
    “…Obesity usually exacerbates the immunosuppressive tumor microenvironment (ITME), hindering CD8+ T cell infiltration and function, which further represents a significant barrier to the efficacy of immunotherapy. …”
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    Article
  4. 3024

    Comprehensive analysis of potential biomarkers for the diagnosis and prognosis of Cervical squamous cell carcinoma - based on GEO and TCGA databases by Yufen Chen, Qinghua Deng, Tengyue Fu, Yuxiang Huang, Houlin Li, Jingmu Xie, Feng Liao, Feimiao Zeng, Xinyi Fang, Ruiman Li, Zhuming Chen

    Published 2025-05-01
    “…BackgroundCervical squamous cell carcinoma (CESC) constitutes a substantial global health burden, especially in resource-limited regions. The identification of reliable biomarkers is critical for developing a clinically applicable nomogram to predict survival outcomes and evaluate immune infiltration in CESC patients.MethodsThis study integrated RNA-seq data from GEO and TCGA databases to identify key genes associated with CESC through differential expression analysis and machine learning techniques. …”
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  5. 3025
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  8. 3028

    Evaluasi Penilaian Kinerja Irigasi dan Angka Kebutuhan Nyata Pengelolaan Irigasi Way Merias Kabupaten Lampung Tengah by Eria Zundi Rahmadani, Endro P Wahono, Ofik Taufik Purwadi

    Published 2024-10-01
    “…The Way Merias Irrigation Area is an irrigation area under the authority of the Central Lampung Regency Water Resources Service. The Way Merias irrigation area has a functional area of 79.44 Ha. …”
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  9. 3029
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  11. 3031

    Ecological security driving mechanisms and optimization of zoning in Chinese urban agglomerations: A case study of the central plains urban agglomeration by Jinyuan Zhang, Xuning Qiao, Yongju Yang, Liang Liu, Yalong Li, Shengnan Zhao

    Published 2025-02-01
    “…In light of mounting ecological security challenges, including disparities in ecological efficiency and growing constraints from resource and environmental limitations, the CPUA urgently requires achieving a balance and mutually beneficial relationship between economic growth and ecological protection. …”
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  12. 3032
  13. 3033

    SSDWSN: A Scalable Software-Defined Wireless Sensor Networks by Mohammed Alsaeedi, Mohd Murtadha Mohamad, Anas Al-Roubaiey

    Published 2024-01-01
    “…These policies are designed to efficiently utilize SDWSN network resources and accurately predict the network state by continuously monitoring the synchronized network state within the controller, taking appropriate actions, and updating the learning parameters based on reward functions. …”
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  14. 3034
  15. 3035

    Unveiling Salt Tolerance Mechanisms and Hub Genes in Alfalfa (<i>Medicago sativa</i> L.) Through Transcriptomic and WGCNA Analysis by Fengdan Wang, Hanfu Wu, Mei Yang, Wen Xu, Wenjie Zhao, Rui Qiu, Ning Kang, Guowen Cui

    Published 2024-11-01
    “…This also provides valuable genetic resources for better utilization of saline–alkali land. …”
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  16. 3036

    Pose measurement method for coal mine drilling robot based on deep learning by Jiangnan LUO, Jianping LI, Hongxiang JIANG, Deyi ZHANG

    Published 2025-07-01
    “…Then, the measured point cloud is registered using the Fast Point Feature Histogram (FPFH) and Iterative Closest Point (ICP) algorithms to obtain the transformation matrix from the measured point cloud to the source point cloud. Finally, the drilling position and direction vectors were determined, thereby defining the drilling position. …”
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  17. 3037

    Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach by Zhengyuan Su, Huadong Jiang, Ying Yang, Xiangqing Hou, Yanli Su, Li Yang

    Published 2025-04-01
    “…Basic acoustic features (eg, Mel Frequency Cepstral Coefficients, formant frequencies, jitter, shimmer) and high-level statistical function (HSF) features (using OpenSMILE [Open-Source Speech and Music Interpretation by Large-Space Extraction] with the ComParE 2016 configuration) were extracted. …”
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  18. 3038

    A community-engaged model for promoting youth behavioral health equity: voices from Washington State’s Community Prevention and Wellness Initiative by Heather F. Terral, Jordan Newburg, Konul Karimova, Brittany R. Cooper, Gitanjali Shrestha

    Published 2025-08-01
    “…The Community Prevention and Wellness Initiative (CPWI) is an innovative community coalition model that uses data to direct prevention efforts and resources to the highest-need communities in Washington State to reduce youth behavioral health disparities. …”
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  19. 3039
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    Sensitivity of Firms' Investment to Uncertainty and Cash Flow by Taher Porkavosh, Ezatollah Abbasian, Vahid Mahmoudi

    Published 2024-12-01
    “…The purpose of investment decisions is to obtain a higher return, and to obtain a suitable return through investment, accurate knowledge of the effective factors is essential, because fluctuations in investment can come from various sources. According to real option theory, uncertainty plays a crucial role in shaping investment decisions for companies. …”
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