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Showing 861 - 880 results of 1,810 for search '((( resourcesssss OR resources) detection functions ) OR ( source detection functions ))', query time: 0.26s Refine Results
  1. 861

    Liquid chromatography-high resolution mass spectrometry based analysis of persistent mobile organic compounds in aqueous samples: Method development and optimization by Kyriaki Anagnostopoulou, Vasileios Alampanos, Eleni Evgenidou, Dimitra A. Lambropoulou

    Published 2025-03-01
    “…Persistent Mobile Organic Compounds (PMOCs) represent a critical threat to water resources due to their high solubility, resistance to degradation, and potential toxicity, posing risks to human health and ecosystems. …”
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    Article
  2. 862
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    Transcriptomic analysis reveals that selenium-enriched Lactobacillus plantarum alleviates high -salinity stress in common carp through lipid metabolism and ferroptosis signalling p... by Xinchi Shang, Xinghua Che, Longwu Geng, Qing Zhang, Haijun Wei, Wang Li, Xiaodan Shi, Wei Xu

    Published 2025-09-01
    “…Inland water resource salinisation is a global problem. High salinity leads to increased pressure on the survival of aquatic animals, severely limiting the development of the aquaculture industry. …”
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  4. 864

    Unraveling the complexities: morpho-physiological and proteomic responses of pearl millet (Pennisetum glaucum) to dual drought and salt stress by Charlie Sithole, Rotondwa Rabelani Sinthumule, Joseph Lesibe Gaorongwe, Oziniel Ruzvidzo, Tshegofatso Bridget Dikobe

    Published 2025-04-01
    “…Catalytic and binding activities were the predominant molecular functions detected across treatments suggesting their central role in stress response. …”
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  5. 865
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    Responsive cellulose nanocrystal‐based liquid crystals: From structural color manipulation to applications by Jiao Liu, Ye‐Ming Qing, Jun‐Jie Wu, Jing‐Qi Tian, Chi‐Bo Feng, Xin‐Yu Zhou, Yun Ma, Bing‐Xiang Li, Yan‐Qing Lu, Quan Li

    Published 2025-08-01
    “…Furthermore, the applications of cellulose‐based LCs for gas detection, anticounterfeiting, multicolor separation, multifunctional E‐skin, and advanced fabrics are also reviewed. …”
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    Article
  7. 867

    MergeBot: A platform of semi-structured merge conflict resolution for C/C++ code by Hua He, Xiaofan Liu, Lei Xu, Guanghui Mei, Jifeng Xuan

    Published 2025-05-01
    “…In software version control systems, like Git, merge conflicts typically arise when multiple developers edit the same segment of a source file from different branches. Detecting merge conflicts can be automated; however, resolving merge conflicts is tedious and demanding. …”
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  8. 868

    Medical Data over Sound—CardiaWhisper Concept by Radovan Stojanović, Jovan Đurković, Mihailo Vukmirović, Blagoje Babić, Vesna Miranović, Andrej Škraba

    Published 2025-07-01
    “…It then enables a range of control and visualization functions for both local and remote users. Emphasis is placed on describing the system architecture and its key components, as well as the software methodologies used for signal decoding on the receiver side, where several algorithms are implemented using open-source, platform-independent technologies, such as JavaScript, HTML, and CSS. …”
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  9. 869
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    Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

    Published 2025-07-01
    “…The TSGAN framework generates a unified texture map that captures essential gradient preservation into the generator’s loss function, the model successfully retains critical information about texture from the input source images. …”
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    Research on Interval Probability Prediction and Optimization of Vegetation Productivity in Hetao Irrigation District Based on Improved TCLA Model by Jie Ren, Delong Tian, Hexiang Zheng, Guoshuai Wang, Zekun Li

    Published 2025-05-01
    “…This model employs TTHHO to effectively navigate the search space and adaptively optimize network node positions, integrates CNN-LSSVM for feature extraction and regression analysis, and incorporates ABKDE for probability density function estimation and outlier detection, resulting in accurate interval probability prediction and enhanced model resilience to interference. …”
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    The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

    Published 2025-01-01
    “…But in practice, it is difficult to achieve both optimal detection accuracy and computational efficiency simultaneously due to limited computing resources. …”
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  15. 875

    Texture-preserving and information loss minimization method for infrared and visible image fusion by Qiyuan He, Yongdong Huang

    Published 2025-07-01
    “…TPFusion consists of the following key components: a multi-scale feature extraction module for enhancing the capability of capturing features; a texture enhancement module and contrast enhancement module, which helps to preserve fine-grained textures and extract salient contours and contrast information; a dual-attention fusion module for fusing the features extracted from the source images; an information content based loss function minimizing the feature discrepancy between the fused images and the source images and effectively reducing the information loss. …”
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    Harnessing evanescent photoacoustic waves for multi-domain imaging by Rong Zhou, Liying Zhang, Beibei Li, Jingtao Xiao, Yiheng Xing, Chang Chen, Yuecheng Shen, Hao Shen, Deng Pan, Hongxing Xu

    Published 2025-06-01
    “…Leveraging these features, we develop a proof-of-concept for supercritical angle photoacoustic microscopy (SA-PAM), which utilizes evanescent PA waves to enable new PAM functionalities, such as surface topography reconstruction and edge detection. …”
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  20. 880

    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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