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  1. 541

    Online Attendance System for Village Officials: A Case Study on the Application of Android Technology by Syaiful Syaiful, Widya Astutik, Novira Fitriana, Ayu Febriana Laila Fatika Agustini

    Published 2025-04-01
    “…By utilizing an Android-based application, the system is expected to facilitate real-time attendance tracking, reduce manual errors, and simplify reporting and monitoring. …”
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    Experimental Study of Nonequilibrium Electrodeposition of Nanostructures on Copper and Nickel for Photochemical Fuel Cell Application by Rajesh K. Shanmugam, Bo J. Gan, Boya Zhang, Lusheng Su, Yong X. Gan

    Published 2011-01-01
    “…Processing parameters including electrolyte concentration, and electrode potential were studied using cyclic voltammetry. Scanning electron microscopy (SEM) and X-ray Spectroscopy (EDS) were performed to understand the formation of the nanostructures during the nonequilibrium deposition of copper fractals. …”
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    A numerical study of the relevance of the electrode-tissue contact area in the application of soft coagulation by Christoph Busch, Stefan J. Rupitsch, Knut Moeller

    Published 2025-07-01
    “…Despite its critical role in surgical applications, the influence of the electrode-tissue contact area has received little to no attention in previous simulation studies. …”
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    Global research trends in the application of artificial intelligence in oncology care: a bibliometric study by Mianmian Xu, Yafang Chen, Tianen Wu, Yuyan Chen, Wanling Zhuang, Yinhui Huang, Chuanzhen Chen

    Published 2025-01-01
    “…In recent years, the keywords with the highest burst strength were “model” and “human papillomavirus.” The most studied tumor type was breast cancer. While Cancers published the highest number of articles, journals such as CA: A Cancer Journal for Clinicians and PLOS ONE had higher impact and citation rates.ConclusionBy analyzing the volume of AI literature in oncology nursing, combined with the statistical analysis of institutions, core authors, journals, and keywords, the research hotspots and trends in the application of AI in oncology nursing over the past 30 years are revealed. …”
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