Showing 1,141 - 1,160 results of 1,810 for search '((\ sources detection functions\ ) OR (( (resource OR source) OR resources) detection function\ ))', query time: 0.37s Refine Results
  1. 1141
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    Evaluating LiDAR‐Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests by Marissa H. Chase, Alexandra Harmon‐Threatt, Samuel F. Stickley, Brian Charles, Jennifer M. Fraterrigo

    Published 2025-04-01
    “…We investigated whether structural metrics derived from light detection and ranging (LiDAR) data could predict bee diversity and abundance, as well as bee functional trait composition within managed and unmanaged forests in the central hardwood region in southern Illinois, United States of America. …”
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    INDICATORS AND CRITERIA FOR ASSESSMENT OF MULTIFUNCTIONAL DEVELOPMENT OF RURAL TERRITORIES by O. V. Kosenchuk, A. V. Zinich

    Published 2018-05-01
    “…The authors identify five basic functions of rural areas, developed and presented by the author’s methodology for monitoring the dynamic and including thirty-one indicators, which allow to assess the changes in rural area over the years.Discussion. …”
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  6. 1146

    Urotensin-II: More Than a Mediator for Kidney by Ayşe Balat, Mithat Büyükçelik

    Published 2012-01-01
    “…Although both hU-II and its receptor, GPR14, are detected in several tissues, kidney is a major source of U-II in humans. …”
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  7. 1147

    Advances in Wearable Biosensors for Wound Healing and Infection Monitoring by Dang-Khoa Vo, Kieu The Loan Trinh

    Published 2025-02-01
    “…Wound healing is a complicated biological process that is important for restoring tissue integrity and function after injury. Infection, usually due to bacterial colonization, significantly complicates this process by hindering the course of healing and enhancing the chances of systemic complications. …”
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  8. 1148

    HIV-associated neurocognitive disorders in Africa: challenges, peculiarities, and future directions by Tobi Olajide, Evelyn Ogungbemi, Gideon Olajide, Deborah Ogundijo, Oluwanifemi Osakuade, Favour Moshood

    Published 2024-11-01
    “…Moreover, investment in infrastructure and resources for neurocognitive care, including diagnostic tools and rehabilitation services, is essential to meet the growing needs of this population. …”
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    Estimating fish stock biomass using a Bayesian state-space model: accounting for catchability change due to technological progress by Makoto Nishimoto, Yoshinori Aoki, Naoto Matsubara, Paul Hamer, Yuichi Tsuda

    Published 2024-12-01
    “…The assessment of trends in fish stocks using long-term time-series data is important for effective fisheries resource management. Despite technological advancements in recent decades, the resulting increase in fisheries catch potential with applied effort is often not adequately considered in stock assessments. …”
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  11. 1151

    A lightweight transformer based multi task learning model with dynamic weight allocation for improved vulnerability prediction by Lan Liu, Zhanfa Hui, Guiming Chen, Tingfeng Cai, Chiyu Zhou

    Published 2025-08-01
    “…Traditional methods, such as single-task learning and ensemble approaches, often struggle with these challenges, particularly in detecting rare but critical vulnerabilities. To address this, we propose the MTLPT: Multi-Task Learning with Position Encoding and Lightweight Transformer for Vulnerability Prediction, a novel multi-task learning framework that leverages custom lightweight Transformer blocks and position encoding layers to effectively capture long-range dependencies and complex patterns in source code. …”
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    THE SOLUTION TO THE EQUATION OF THE SHOCK WAVE BURGERS IN THE PTC MATHCAD ENVIRONMENT by R. E. Oleynikova

    Published 2022-08-01
    “…However, this error is detected through the values of the nonlinear term included in the differential equation, which is determined according to the binomial representation through the quadratic forms of the matrix of the trial function. …”
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    Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer’s Disease Diagnosis by Maria João Oliveira, Pedro Ribeiro, Pedro Miguel Rodrigues

    Published 2024-11-01
    “…<i>MCI</i>, the proposed model outperformed state-of-the-art imaging source studies by 0.1% and non-imaging source studies by 4.6%. …”
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    Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

    Published 2024-11-01
    “…Traditional methods for detecting seed germination rates often involve lengthy experiments that result in damaged seeds. …”
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  18. 1158

    Quantification of glucagon and oxyntomodulin by protein precipitation-immunoaffinity enrichment-LC-MS/MS by Jessica O. Becker, Sara K. Shijo, Huu-Hien Huynh, Katrina L. Forrest, Michael J. MacCoss, Michelle A. Emrick, Elisha Goonatilleke, Andrew N. Hoofnagle

    Published 2025-04-01
    “…A glucagon calibration material was sourced commercially and characterized for purity and concentration by high-performance liquid chromatography-ultraviolet detection and amino acid analysis. …”
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    In-band network telemetry system based on high-performance packet processing architecture VPP by Tian PAN, Xingchen LIN, Jiao ZHANG, Tao HUANG, Yunjie LIU

    Published 2021-03-01
    “…An in-band network telemetry-based system was built based on VPP, a high-performance virtual network forwarding architecture/device, via reorganizing the data plane pipeline processing modules.Moreover, a network-wide telemetry mechanism was further developed via embedding source routing into the probe packet header for specifying the route of probe packets.Finally, a virtual network topology was built with performance evaluation conducted.The evaluation shows that the telemetry system can monitor the network in a high precision of every 0.13 ms, detecting link congestion in real time with minor performance overhead.Given virtual network devices have been widely deployed in data centers, the proposed scheme is expected to improve the reliability of multi-tenancy and network function virtualization in data centers via high-precision, network-wide virtual link telemetry coverage.…”
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