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    Effect Observation on Repetitive Transcranial Magnetic Stimulation at Scalp Acupoints on Spastic Hemiplegia of Upper Extremity after Stroke by Yin QIN, Donge HUANG, Guohui KANG, Yue LIU, Munan LIN

    Published 2018-12-01
    “…Objective:To observe the clinical effect of repetitive transcranial magnetic stimulation (rTMS) at scalp acupoints on spastic hemiplegia of upper extremity after stroke.Methods:A total of 60 patients with spastic hemiplegia of upper extremity after stroke were randomly divided into control group, scalp-acupuncture group and rTMS acupoint group, with 20 cases in each group. …”
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    Distributed user privacy preserving adjustable personalized QoS prediction model for cloud services by Jianlong XU, Jian LIN, Yusen LI, Zhi XIONG

    Published 2023-04-01
    “…Personalized quality of service (QoS) prediction is crucial for developing high-quality cloud service system.However, the traditional collaborative filtering method, based on centralized training, presents challenges in protecting user privacy.In order to effectively protect user privacy while obtaining highly accurate prediction effect, a distributed user privacy adjustable personalized QoS prediction model for cloud services (DUPPA) was proposed.The model adopted a “server-multi-user” architecture, in which the server coordinated multiple users, handled multiple users’ requests for uploading model gradients and downloading global model, and maintained global model parameters.To further protect user privacy, a user privacy adjustment strategy was proposed to balance privacy and prediction accuracy by adjusting the initialization proportion of local model parameters and gradient upload proportion.In the local model initialization stage, the user calculated the difference matrix between the local model and the global model, and selected the global model parameters corresponding to the larger elements in the difference matrix to initialize the local model parameters.In the gradient upload stage, the user can select some important gradients to upload to the server to meet the privacy protection requirements of different application scenarios.To evaluate the privacy degree of DUPPA, a data reconstruction attack method was proposed for the distributed matrix factorization model gradient sharing scheme.The experimental results show that when DUPPA sets the gradient upload proportion to 0.1 and the local model parameter initialization proportion to 0.5, the predicted MAE and RMSE are reduced by 1.27% and 0.91%, respectively, compared with the traditional centralized matrix factorization model.Besides, when DUPPA sets the gradient upload proportion to 0.1, the privacy degree is 5 times higher than when the gradient upload proportion is 1.And when DUPPA sets the local model parameter initialization proportion to 0.5, the privacy degree is 3.44 times higher than when the local model parameter initialization proportion is 1.…”
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    Design and application of a puncture needle support (一种穿刺针支架的设计与应用) by WEI An (魏安), SUN Xiumei (孙秀梅), DU Chunliu (杜春柳)

    Published 2024-12-01
    “…This paper introduces the design and use method of a utility model puncture needle support, which can effectively improve the puncture effect, reduce the work burden of medical staff and improve the work efficiency. …”
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