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        Combined Assessment of Serum Alpha-Synuclein and Rab35 is a Better Biomarker for Parkinson’s Disease

        Hung-Li Wang,Chin-Song Lu,Tu-Hsueh Yeh,Yu-Ming Shen,Yi-Hsin Weng,Ying-Zu Huang,Rou-Shayn Chen,Yu-Chuan Liu,Yi-Chuan Cheng,Hsiu-Chen Chang,Ying-Ling Chen,Yu-Jie Chen,Yan-Wei Lin,Chia Chen Hsu,Huang-Li 대한신경과학회 2019 Journal of Clinical Neurology Vol.15 No.4

        Background and Purpose It is essential to develop a reliable predictive serum biomarker for Parkinson’s disease (PD). Te accumulation of alpha-synuclein (αSyn) and up-regulated expression of Rab35 participate in the etiology of PD. Te purpose of this investigation was to determine whether the combined assessment of serum αSyn and Rab35 is a useful predictive biomarker for PD. Methods Serum levels of αSyn or Rab35 were determined in serum samples from 59 sporadic PD patients, 19 progressive supranuclear palsy (PSP) patients, 20 multiple system atrophy (MSA) patients, and 60 normal controls (NC). Receiver operating characteristics (ROC) curves were calculated to determine the diagnostic accuracy of αSyn or/and Rab35 in discriminating PD patients from NC or atypical parkinsonian patients. Results The levels of αSyn and Rab35 were increased in PD patients. The serum level of Rab35 was positively correlated with that of αSyn in PD patients. Compared to analyzing αSyn or Rab35 alone, the combined analysis of αSyn and Rab35 produced a larger area under the ROC curve and performed better in discriminating PD patients from NC, MSA patients, or PSP patients. When age was dichotomized at 55, 60, 65, or 70 years, the combined assessment of αSyn and Rab35 for classifying PD was better in the group below the cutof age than in the group above the cutof age. Conclusions Combined assessment of serum αSyn and Rab35 is a better biomarker for discriminating PD patients from NC or atypical parkinsonian patients, and is a useful predictive biomarker for younger sporadic PD patients.

      • Application of Green Collaboration Operation on Network Industry

        Ruey-Shun Chen,Yeh-Cheng Chen,Chi Nung Chu,Hung-Min Sun,Ling-Chi Chen,Chia-Chen Chen 한국정밀공학회 2015 International Journal of Precision Engineering and Vol.2 No.1

        Traditional information system and managerial mechanism cannot meet the new environment protection regulations; therefore, a new solution must be set up, else it may run the risk of losing the market and the value of product brand.This research focuses on the solutions provided by the network and communication industry, manufacture of the green products, and the establishment of a Web-based green collaboration management system, which incorporates the environment protection requests into the product development and green supply chain activities. There are three goals: (1) For the design of green products, green components and product management are set up for the purpose of de-toxin and ease of disassemble; (2) For the green supply chain, the management of hazardous substances, product recycle and disassemble are set up; (3) For the product recycling management, the recycling information is feedback for the product update and collaboration operation. The result of research can provide information for the integration of workflow and information system currently in use, provide RoHS and WEEE management solutions, and set up green collaboration information system, so that green products, brand leadership, and environment protection endeavor can be assured.

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        Computation Controllable Mode Decision and Motion Estimation for Scalable Video Coding

        Liang-Wei Zheng,Gwo-Long Li,Mei-Juan Chen,Chia-Hung Yeh,Kuang-Han Tai,Jian-Sheng Wu 한국전자통신연구원 2013 ETRI Journal Vol.35 No.3

        This paper proposes an efficient computation-aware mode decision and search point (SP) allocation algorithm for spatial and quality scalabilities in Scalable Video Coding. In our proposal, a linear model is derived to allocate the computation for macroblocks in enhancement layers by using the rate distortion costs of the base layer. In addition, an adaptive SP decision algorithm is proposed to decide the number of SPs for motion estimation under the constraint of the allocated computation. Experiment results demonstrate that the proposed algorithm allocates the computation resource efficiently and outperforms other works in rate distortion performance under the same computational availability constraint.

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