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Showing 1,221 - 1,240 results of 1,810 for search '((( resourcesss OR resources) detection functions ) OR ( source detection function ))', query time: 0.25s Refine Results
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    Multimessenger Signatures of a Deformed Magnetar in Gamma-Ray Bursts by Parisa Hashemi, Soroush Shakeri, Yu Wang, Liang Li, Rahim Moradi

    Published 2025-01-01
    “…It is shown that the GW and EM emissions evolve as a function of eccentricity and rotational frequency with time. …”
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  6. 1226
  7. 1227

    Identification of miRnas with possible prognostic roles for HAM/TSP by Daniela Raguer Valadão de Souza, Rodrigo Pessôa, Youko Nukui, Juliana Pereira, Rosa Nascimento Marcusso, Augusto César Penalva de Oliveira, Jorge Casseb, Alberto José da Silva Duarte, Patricia Bianca Clissa, Sabri Saeed Sanabani

    Published 2023-12-01
    “…The seven most deregulated miRs target genes have been associated with a variety of biological processes and molecular functions. The reactome pathways relevant to our findings provide a rich source of data and offer the opportunity to better understand sRNA regulation and function in HTLV-1 pathophysiology. …”
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  8. 1228

    The influence of genetics on the endocannabinoid system gene expression and relevance for targeting reproductive conditions by Keisuke Tanaka, Akwasi A. Amoako, Sally Mortlock, Peter A. W. Rogers, Sarah J. Holdsworth-Carson, Jacqueline F. Donoghue, Wan Tinn Teh, Grant W. Montgomery, Brett McKinnon

    Published 2025-05-01
    “…Abstract Background Endocannabinoids are small lipid molecules that have critical roles in cellular proliferation and function. They are produced locally with their concentrations controlled via the endocannabinoid system (ECS). …”
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  9. 1229

    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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  10. 1230

    LIFE CYCLE ASSESSMENT IN HEALTHCARE SYSTEM OPTIMIZATION. INTRODUCTION by V. Sarancha, K. Vitale, S. Oreskovic, V. Sulyma

    Published 2015-03-01
    “…Various factors and parameters that may influence effectiveness of different sectors in healthcare system are detected. Performance optimization of detected parameters could lead to better system functioning, higher patient safety, economic sustainability and reduce resources consumption.…”
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  11. 1231

    Quality and content evaluation of thyroid eye disease treatment information on TikTok and Bilibili by Haisheng Wang, Huahong Zhang, Jiamin Cao, Feng Zhang, Wei Xiong

    Published 2025-07-01
    “…Abstract Thyroid eye disease (TED) is an autoimmune condition that commonly impacts patients’ visual function, appearance, and psychological well-being. …”
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  12. 1232
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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
    “…This model allows for the flexible integration of the timing and functional form of the uptake of technological innovations that are assumed to influence catchability. …”
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  14. 1234

    Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects by Muhammad Abdullah Hanif, Nandish Chattopadhyay, Bassem Ouni, Muhammad Shafique

    Published 2025-01-01
    “…Such attacks are usually referred to as Trojan or backdoor attacks and are very stealthy and hard to detect. In this paper, we highlight the complete attack surface that can be exploited to inject hidden malicious functionality (backdoors) in machine learning models. …”
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  15. 1235

    Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

    Published 2024-12-01
    “…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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    Big data for imaging assessment in glaucoma by Douglas R. da Costa, Felipe A. Medeiros

    Published 2024-09-01
    “…Leveraging vast data sources, these technologies promise to enhance clinical practice and public health outcomes by enabling earlier disease detection, progression forecasting, and deeper understanding of underlying mechanisms. …”
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  18. 1238

    Stage-specific metabolic allocation: nutrient investment strategies during Lysiphlebia japonica Ashmead development by Tingting Zhou, Ningbo Huangfu, Li Wang, Junyu Luo, Jinjie Cui, Xiangzhen Zhu, Sumei Wan, Xueke Gao

    Published 2025-08-01
    “…Nutrients, particularly lipids and energy-related metabolites, play a critical role in shaping stage-specific growth and survival strategies in parasitic wasps.MethodsTo analyze the allocation patterns of metabolite resources during development of parasitoid wasps, the multi-omics analysis was employed to systematically investigate nutrient dynamics across three growth periods in Lysiphlebia japonica Ashmead, a major parasitoid of cotton aphid (Aphis gossypii Glover).ResultsHere, a total of 753 metabolites were detected by untargeted metabolomics, with numerous nutritionally critical compounds including amino acids, fatty acids and carbohydrates showed stage-specific variations. …”
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    Genomic signal selection analysis reveals genes related to the lambing trait of Hotan sheep by XinKun Wang, Wei Li, QiaoYan Huang, HuiPing Sun, LeXiao Zhu, RuoHuai Gu, Feng Xing

    Published 2025-07-01
    “…We identified 290 selected regions and 332 genes across the Hotan sheep genome by using two widely adopted selective scanning detection methods (FST statistics and Piratio). Functional annotation and enrichment analysis of these genes identified 13 genes associated with the lambing rate, which were enriched in pathways such as the transforming growth factor-β signaling pathway (BMPR2, ID2, SMAD7, THBS1, and RBX1), renal cell carcinoma (PAK1, ELOC), inositol phosphate metabolism (PLCZ), non-homologous terminal junction (RAD50), ABC transporters (ABCC4), and the NET pathway (H2B, H4, and H2A). …”
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