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Showing 1,261 - 1,280 results of 2,583 for search '((\ source detection functions\ ) OR (( resource OR resources) selection function\ ))', query time: 0.38s Refine Results
  1. 1261

    POTENTIAL OF MACHINE TRANSLATION IN MUSEUM MEDIA DISCOURSE: ANALYSIS OF MODERN BROWSER SYSTEMS by Vera A. Mityagina, Anna A. Novozhilova, Anna P. Naumova

    Published 2024-11-01
    “…The article is devoted to the actual problems of neural machine translation optimization, which are caused by the inclusion of multilingualism in the functionality of online resources for providing equal access to information for all users. …”
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  4. 1264

    The molecular mechanism and utilization of ZmMs7-mediated dominant nuclear sterility in Oryza sativa L by Yusheng Xu, Yusheng Xu, Dingyang Yuan, Meijuan Duan

    Published 2025-04-01
    “…This system comprises three modules: first, a dominant nuclear male-sterile (NMS) functional module driven by p5126, designed to achieve the dominant nuclear male-sterile trait; second, a fluorescence-based selection module driven by the endosperm-specific promoter LTP2, which facilitates the expression of the red fluorescent protein gene DsRed; and finally, a herbicide resistance screening module driven by the constitutive CaMV35S promoter, enabling the expression of the selectable marker Bar gene. …”
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  5. 1265

    Design of the optimal groundwater quality monitoring network using a genetic algorithm based optimization approach by Somaye Janatrostami, Ali Salahi

    Published 2020-06-01
    “…Introduction: A spatial distribution and accuracy of groundwater quality data is required for management of groundwater resources. These data are usually collected from monitoring wells which are spatially distributed in the studied aquifer. …”
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  6. 1266

    A Novel Signature Composed of Hypoxia, Glycolysis, Lactylation Related Genes to Predict Prognosis and Immunotherapy in Hepatocellular Carcinoma by Feng Yi, Shichao Long, Yuanbing Yao, Kai Fu

    Published 2025-04-01
    “…Subsequently, the single sample Gene Set Enrichment Analysis (ssGSEA), Tumor Immune Estimation Resource (TIMER) and Tumor Immune Dysfunction and Exclusion (TIDE) algorithms were utilized to assess immune infiltration and immune evasion. …”
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  7. 1267

    Evaluation of the Yield and Agronomic Traits of Tropical alfalfa Cultivars in Sistan\'s Warm and Dry Climate by Ahmad Ghasemi, Mohammad Reza Narouierad, Mahmoud Mohammad ghasemi, Behnam Bakhshi

    Published 2024-09-01
    “…Methods: The phenological, morphological, and functional traits of 10 tropical alfalfa genotypes (Zabol local purified alfalfa, Zabol local mass, Baghdadi, two Afghani masses, Nikshahri, Omid, and lines 473, 472, and 471) were investigated in the Zahak Agricultural and Natural Resources Research Station, located 20 km from Zabol city. …”
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    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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  12. 1272

    Construction on labor education platform based on RuoYi-Cloud by Zhang Jiaming, Zhou Jie, Zhou Beiping

    Published 2024-03-01
    “…Adopting microservice architecture, it realizes user-friendly interface and highly scalable back-end functions, optimizes system response time and resource utilization to ensure efficient system operation, and provides a good foundation for future functionality expansion with system flexibility and scalability. …”
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    Progress and Prospect of Deep-sea Heavy-duty Remotely Operated Vehicles by ZHANG Dinghua, LIU Kean

    Published 2023-12-01
    “…Deep-sea heavy-duty remotely operated vehicles (ROVs) are essential equipment for the exploration of ocean resources, with remote operations being the primary method for addressing diverse deep-sea tasks. …”
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  15. 1275

    DistB-Condo: Distributed Blockchain-Based IoT-SDN Model for Smart Condominium by Anichur Rahman, Md. Jahidul Islam, Ziaur Rahman, Md. Mahfuz Reza, Adnan Anwar, M. A. Parvez Mahmud, Mostofa Kamal Nasir, Rafidah Md. Noor

    Published 2020-01-01
    “…Condominium network refers to intra-organization networks, where smart buildings or apartments are connected and share resources over the network. Secured communication platform or channel has been highlighted as a key requirement for a reliable condominium which can be ensured by the utilization of the advanced techniques and platforms like Software-Defined Network (SDN), Network Function Virtualization (NFV) and Blockchain (BC). …”
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  16. 1276

    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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  17. 1277

    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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    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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