Showing 1,801 - 1,820 results of 7,685 for search 'initial detection', query time: 0.14s Refine Results
  1. 1801

    A High-Throughput Biosensing Approach for Rapid Screening of Compounds Targeting the hNav1.1 Channel: Marine Toxins as a Case Study by Huijing Shen, Yuxia Cui, Shiyuan Liang, Shuang Zhou, Yingji Li, Yongning Wu, Junxian Song

    Published 2025-03-01
    “…It combines a red fluorescent dye sensitive to transmembrane potentials with CHO cells stably expressing the hNav1.1 α-subunit (hNav1.1-CHO). In the initial screening mode, the tested compounds were mixed with pre-equilibrated hNav1.1-CHO cells and dye to detect potential agonist effects via fluorescence enhancement. …”
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  2. 1802

    DNN-based Software Reliability Model for Fault Prediction and Optimal Release Time Determination by Shikha Dwivedi, Neeraj Kumar Goyal, Hariom Chaudhari

    Published 2025-10-01
    “…This paper introduces a Dense Neural Network (DNN)-based model that predicts both detected and corrected faults using data from the initial testing phase. …”
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  3. 1803

    Ni–Zn bimetal-organic framework nanoprobes reinforced polymeric coating to achieve dual-responsive warning of coating damage and interfacial corrosion by Dezhi Jiao, Chengbao Liu, Yujie Qiang, Shuoqi Li, Cong Sun, Peimin Hou, Lanyue Cui, Rongchang Zeng

    Published 2025-06-01
    “…The coatings with dual-responsiveness for coating defect and steel corrosion are constructed by incorporating synthesized nanoprobes composed of metal organic frameworks (Ni–Zn-MOFs) loaded with Rhodamine B (RhB@MOFs). The initial damage to the coating causes an immediate intensification of fluorescence, while the specific ionic-recognition characteristic of RhB with Fe3+ results in an evident fluorescence quenching, enabling the detection of coating damage and corrosion. …”
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  4. 1804
  5. 1805

    Influence of External Light on Ultra-Weak Photon Emission of Fruits: Forensic Differentiation of Organic and Conventional Fruits by Adrián Rubio, Anna Barbaro, Gemma Montalvo, Fernando E. Ortega-Ojeda, Carmen García-Ruiz

    Published 2025-03-01
    “…The results indicated that, following the initial induced response, all fruit types stabilised to a spontaneous UPE state after approximately 60 min in darkness. …”
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  6. 1806
  7. 1807

    MRI based volumetric lung nodule assessment - a comparison to computed tomography by Tatjana Dell, Andreas Feisst, Olga Ramig, Yannik Layer, Narine Mesropyan, Alexander Isaak, Claus Pieper, Patrick Kupczyk, Julian Luetkens, Daniel Thomas, Daniel Kuetting

    Published 2025-04-01
    “…Patients were included if foci ≥6 mm were detected in CT during the initial screening round, resulting in 23 participants with 47 pulmonary nodules. …”
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  8. 1808
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  11. 1811

    AI-CMCA: a deep learning-based segmentation framework for capillary microfluidic chip analysis by Mahmood Khalghollah, Azam Zare, Esmaeil Shakeri, Behrouz Far, Amir Sanati-Nezhad

    Published 2025-07-01
    “…Here, we present AI-CMCA, an artificial intelligence framework designed for capillary microfluidic chip analysis, which automates fluid path detection and tracking using deep learning-based segmentation. …”
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  12. 1812

    Analysis of China’s High-Speed Railway Network Using Complex Network Theory and Graph Convolutional Networks by Zhenguo Xu, Jun Li, Irene Moulitsas, Fangqu Niu

    Published 2025-04-01
    “…Then, this research developed three novel GCN models to identify key nodes, detect community structures, and predict new links. …”
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  13. 1813
  14. 1814

    Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

    Published 2025-03-01
    “…Traditional Intrusion Detection Systems (IDS) for EV chargers struggle to detect novel or unexpected attacks due to their usage of predetermined signatures and limited detection capabilities. …”
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  15. 1815

    RNA multi-omics in single cells reveal rhythmical RNA reshaping during human and mouse oocyte maturation by Huan Yao, Danru Zhang, Haixia Jin, Yanjie Guo, Yan Liu, Shengnan Wang, Tong Li, Shenli Yuan, Gang Lu, Yingpu Sun

    Published 2025-05-01
    “…Defects of epi-transcriptome features, including m6A, m6Am, m7G, and poly(A) structure of maternal RNA in the oocytes with poor quality, were detected. Conclusions Our results provided a valuable tool for RNAomics research and data resources provided novel insights into human oocyte maturation, which is helpful for IVM and oocyte selection for ART.…”
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  16. 1816

    Development and validation of an integrative 54 biomarker-based risk identification model for multi-cancer in 42,666 individuals: a population-based prospective study to guide adva... by Renjia Zhao, Huangbo Yuan, Yanfeng Jiang, Zhenqiu Liu, Ruilin Chen, Shuo Wang, Linyao Lu, Ziyu Yuan, Zhixi Su, Qiye He, Kelin Xu, Tiejun Zhang, Li Jin, Ming Lu, Weimin Ye, Rui Liu, Chen Suo, Xingdong Chen

    Published 2025-08-01
    “…Our effective risk stratification model not only enhances early cancer detection but also lays the foundation for the targeted application of advanced screening methods, including but not limited to multi-omics technologies and endoscopy. …”
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  17. 1817

    Unsupervised Cross-Domain Polarimetric Synthetic Aperture Radar (PolSAR) Change Monitoring Based on Limited-Label Transfer Learning and Vision Transformer by Xinyue Zhang, Rong Gui, Jun Hu, Jinghui Zhang, Lihuan Tan, Xixi Zhang

    Published 2025-05-01
    “…Moreover, many related methods can only detect binary changes in PolSAR images and struggle to track the detailed land cover changes. …”
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  18. 1818
  19. 1819

    Design of an Intelligent Driver-Passenger Monitoring System for Metro Trains Based on Device-Edge-Cloud Integration by FENG Jian, FANG Peng, ZHAO Haibo, ZHANG Mingshuai

    Published 2025-04-01
    “…The system assigns differentiated safety constraint factors and penalty mechanisms based on the severity of impact from driver violations on operational safety, to quantify safety risks of detected violations and guide response actions. The system alerts the driver through an onboard voice alarm system to intervene at the initial stage of any detected violation. …”
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  20. 1820