Showing 1,601 - 1,620 results of 1,810 for search '((( resources OR source) detection functions ) OR ( sources detection function ))', query time: 0.20s Refine Results
  1. 1601

    Lightweight deep learning system for automated bone age assessment in Chinese children: enhancing clinical efficiency and diagnostic accuracy by Pang Hai, Zhang Bin, Liu Kesheng, Li Cong, Xu Fei

    Published 2025-07-01
    “…In the first stage, the YOLOv8 algorithm precisely localizes 13 key epiphyses in hand radiographs, achieving a mean Average Precision (mAP) of 99.5% at Intersection over Union (IoU) = 0.5 and 94.0% within IoU 0.5–0.95, demonstrating robust detection performance. The second stage employs a modified EfficientNetB3 architecture for fine-grained epiphyseal grade classification, enhanced by the Rectified Adam (RAdam) optimizer and a composite loss function combining center loss and weighted cross-entropy to mitigate class imbalance. …”
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  2. 1602

    Biodegradation of Phenanthrene by <i>Mycobacterium</i> sp. TJFP1: Genetic Basis and Environmental Validation by Shuyun Li, Jiazhen Liu, Ping Fang

    Published 2025-05-01
    “…This study provides efficient strain resources for the bioremediation of PAH contamination.…”
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  3. 1603

    Platinum-Induced Ototoxicity in Pediatric Cancer Patients: A Comprehensive Approach to Monitoring Strategies, Management Interventions, and Future Directions by Antonio Ruggiero, Alberto Romano, Palma Maurizi, Dario Talloa, Fernando Fuccillo, Stefano Mastrangelo, Giorgio Attinà

    Published 2025-07-01
    “…This approach addresses critical gaps in current practice while acknowledging resource limitations across diverse healthcare environments.…”
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  4. 1604
  5. 1605

    EZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis. by Antonio Bernabe-Ortiz, Andrea Ruiz-Alejos, J Jaime Miranda, Rohini Mathur, Pablo Perel, Liam Smeeth

    Published 2017-01-01
    “…<h4>Objectives</h4>The EZSCAN is a non-invasive device that, by evaluating sweat gland function, may detect subjects with type 2 diabetes mellitus (T2DM). …”
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  6. 1606
  7. 1607

    Systematic discovery of linear binding motifs targeting an ancient protein interaction surface on MAP kinases by András Zeke, Tomas Bastys, Anita Alexa, Ágnes Garai, Bálint Mészáros, Klára Kirsch, Zsuzsanna Dosztányi, Olga V Kalinina, Attila Reményi

    Published 2015-11-01
    “…We used a structurally consistent model on kinase‐docking motif interactions to facilitate the discovery of short functional sites in the structurally flexible and functionally under‐explored part of the human proteome and applied experimental tools specifically tailored to detect low‐affinity protein–protein interactions for their validation in vitro and in cell‐based assays. …”
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  8. 1608

    Dietary supplementation with L-carnitine elevates intracellular carnitine levels and affects gene expression of SLC25A20 and COX4I1, as well as non-mitochondrial respiration of bov... by Leonie Seemann, Susanne Kersten, Susanne Bühler, Fabian Billenkamp, Ulrich Meyer, Christian Visscher, Korinna Huber, Erika Most, Klaus Eder, Sven Dänicke, Jana Frahm

    Published 2025-07-01
    “…Fatty acids, among other substrates, are utilized by immune cells as an energy source. Therefore, L-carnitine, which is authorized as a feed additive in cattle, may influence the metabolism of peripheral blood mononuclear cells (PBMC) during an immune challenge. …”
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  9. 1609
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  12. 1612

    The effect of PLGA-PEG-PLGA modification on the sol-gel transition and degradation properties by J. Oborna, L. Mravcova, L. Michlovska, L. Vojtova, M. Vavrova

    Published 2016-05-01
    “…Itaconic acid, obtained from renewable resources, delivers a reactive double bond and carboxylic functional group to the end of PLGA-PEG-PLGA copolymer: this is important for a reaction with biologically active substances. …”
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  13. 1613

    Differences in Intestinal Microbiota Between White and Common Cranes in the Yellow River Delta During Winter by Xiaodong Gao, Yunpeng Liu, Zhicheng Yao, Yuelong Chen, Lei Li, Shuai Shang

    Published 2025-06-01
    “…During the winter, when food resources are scarce, studying their gut microbiota can effectively reveal the feeding patterns of these two crane species, thereby providing valuable data for crane conservation efforts. …”
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  14. 1614

    Discovery of Genomic Targets and Therapeutic Candidates for Liver Cancer Using Single-Cell RNA Sequencing and Molecular Docking by Biplab Biswas, Masahiro Sugimoto, Md. Aminul Hoque

    Published 2025-04-01
    “…This study aims to uncover key genomic features, analyze their functional roles, and propose potential therapeutic drugs identified through molecular docking, utilizing single-cell RNA sequencing (scRNA-seq) data from liver cancer studies. …”
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  15. 1615

    Ethics of Sensor-Based Surveillance of People with Dementia in Clinical Practice by Jacob Lahr, Nicole Schulze, Larissa N. Wüst, Claus Beisbart, Lena C. Bruhin, Marcello Ienca, Tobias Nef, Manuel Trachsel, Stefan Klöppel

    Published 2025-04-01
    “…The level of privacy intrusion to detect occurring falls varies widely between different sensor systems. …”
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  16. 1616

    Klebsiella pneumoniae under xylose pressure: the growth adaptation, antimicrobial susceptibility, global proteomics analysis and role of XylA and XylB proteins by Ruolan Yi, Jiaoyang Zheng, Zhichao Xu, Jiayan Wu, Fangfang Liu, Jinxin Zheng, Duoyun Li, Shiqing Han, Zhijian Yu

    Published 2025-04-01
    “…Additionally, while the growth adaptation of K2044−8Xyl−60G under xylose pressure was confirmed, no amino acid mutations were detected in the functional proteins of this xylose-induced isolate, suggesting that persistent xylose pressure does not cause nonsense mutations in the bacterial genome. …”
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  19. 1619

    A Novel Approach to Cognitive Load Measurement in N-Back Tasks Using Wearable Sensors, Empirical Mode Decomposition With Machine Learning, and Explainable AI for Feature Importance by Aakanksha Dayal, Ziaullah Khan, Kiramat Ullah, Hee-Cheol Kim

    Published 2025-01-01
    “…This study introduces a novel approach for detecting mental workload and stress, utilizing ECG and Fingertip-PPG data from the MAUS dataset. …”
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  20. 1620

    Proteomic analysis of plasma unravels dynamic pathways and potential biomarkers indicating disease stages following Mtb infection by Zonglei Zhou, Jie Tian, Yuying He, Haiyan Xiong, Weibing Wang

    Published 2025-08-01
    “…ABSTRACT Tuberculosis (TB) stages depend greatly on the interaction between Mycobacterium tuberculosis (Mtb) and the host response. As a non-negligible source of active tuberculosis (ATB), individuals with latent Mtb infection (LTBI) are insidious and hard to be detected due to limited biomarkers. …”
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