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    Gait Rehabilitation Device in Central Nervous System Disease: A Review by Kazuya Kubo, Takanori Miyoshi, Akira Kanai, Kazuhiko Terashima

    Published 2011-01-01
    “…In this paper, we introduced the about gait rehabilitation devices in central nervous system disease.…”
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    Article
  3. 1703
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    Advancements with Controlled-Release Fertilizers for Florida Citrus Production: 1996 -2006 by Thomas A. Obreza, Robert Rouse, Edward A. Hanlon

    Published 2006-08-01
    “…Hanlon, advises crop advisers, fertilizer dealers, citrus producers and other parties interested in citrus fertilization practices about the advances in fertilizer technology in the past ten years. …”
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    Research on Protection Performance of Surge Protective Devices against Electromagnetic Pulse by Zhongyi Zhao, Shenyu Wang, Yongzhi Cui

    Published 2022-01-01
    “…To evaluate the protection performance of SPD (surge protective device) against electromagnetic pulse, the response ability of several typical surge protective devices to wide and narrow electromagnetic pulses was tested by using a SPD response ability test system. …”
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  7. 1707

    Advanced Copper Oxide Chemical and Green Synthesis: Characterization and Antibacterial Evaluation by Ecaterina Magdalena Modan, Adriana-Gabriela Schiopu, Sorin Georgian Moga, Denis Aurelian Negrea, Daniela Istrate, Ion Ciuca, Mihai Oproescu

    Published 2024-12-01
    “…Recent advancements in nanotechnology have improved the application of copper oxide (CuO) nanostructures, known for their diverse antibacterial, electrical, catalytic, optical, and pharmacological properties, which depend on nanoparticle morphology. …”
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  8. 1708
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    Enhancing Interpretability of Neural Compact Models: Toward Reliable Device Modeling by Chanwoo Park, Hyunbo Cho, Jungwoo Lee

    Published 2024-01-01
    “…IEEE Journal of the Electron Devices Society…”
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  10. 1710

    Advancing Gender Equity in Health: The Role of Medical Women’s International Association by Wajiha Rizwan, Eleanor Nwadinobi

    Published 2025-02-01
    “…Notable initiatives include the Equity 2030 Alliance with UNFPA, focusing on women-centric research, and the ‘Every Woman Treaty’ advocating for global standards to end violence against women. …”
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  11. 1711
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    Review of Adaptive Cell Selection Techniques in LTE-Advanced Heterogeneous Networks by M. A. Gadam, Maryam Abdulazeez Ahmed, Chee Kyun Ng, Nor Kamariah Nordin, Aduwati Sali, Fazirulhisyam Hashim

    Published 2016-01-01
    “…Poor cell selection is the main challenge in Picocell (PeNB) deployment in Long Term Evolution- (LTE-) Advanced heterogeneous networks (HetNets) because it results in load imbalance and intercell interference. …”
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    Percutaneous Closure Device Controlled INCRAFT Stentgraft Implantation Registry (PUCCINI) by T. Engelen, R. Hoogervorst, K. DeLoose, L. C. van Dijk, R. S. van Eps, R. B. van Tongeren, H. T. Veger, L. Maene, W. Stomp, O. R. Wikkeling, S. J. C. Klink, W. van den Eynde, J. J. Wever, H. van Overhagen

    Published 2025-02-01
    “…Patients underwent PEVAR with endograft implantation followed by closure using the ProGlide closure device. Procedural success rates, complications and 30-day follow-up outcomes were collected. …”
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    Advancements in Nanorobots: Innovating Bladder Cancer Treatments, Diagnosis and Patient Outcomes by Zehra Hussain, Alyssa Di Fonzo, Hermela Merhawi, Mary Gallant, Robert Girlan, Muhammad Hasibul Hasan

    Published 2025-01-01
    “… Nanorobots are an emerging technology that can deliver cancer treatment with increased precision, potentially decreasing unintended side effects commonly seen with surgery, chemotherapy, and radiation therapy. Recent advancements in in vivo trials have demonstrated significant tumor reduction in mice with bladder cancer, showing the potential of nanorobots to not only treat but also improve diagnostic capabilities in cancer therapy. …”
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  20. 1720

    Advances in machine learning applications to resource technology for organic solid waste by Hongzhi MA, Yichan LIU, Jihua ZHAO, Fan FEI, Ming GAO, Qunhui WANG

    Published 2025-03-01
    “…Machine learning (ML) techniques, with their advanced data analysis and pattern recognition capabilities, are highly effective for addressing the complexities of organic solid waste (OSW) treatment and resource recovery. …”
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