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- 저자 : Pan Jeng-Shyang (검색결과 4 건)
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Tai, Cheng-Jeng,Pan, Chin-Kwun,Chen, Ching-Shyang,Hung, Chin-Sheng,Wu, Chih-Hsiung,Chiou, Hung-Yi Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.3
Objective: The optimal duration of adjuvant trastuzumab treatment in patients with HER2-positive breast cancer is not known. The aim of this study was to evaluate the efficacy of 6 months of adjuvant trastuzumab treatment in patients with stage II or III HER2-positive breast cancer. Methods: The records of patients with HER2-positive stage II or III breast cancer who were admitted to the Breast Center of Taipei Medical University Hospital and Yuan's General Hospital between 2000 and 2008 were reviewed. All patients received adjuvant trastuzumab at an initial dose of 4 mg/kg followed by a maintenance dose of 2 mg/kg/week for 22 weeks in combination with chemotherapy. Results: A total of 51 patients were included with a mean age of 46.9 years. Approximately 55% of the patients had stage III disease. The mean follow-up time from initiation of treatment was 45.2 months (range, 0.9 to 85 months). During follow-up, 46 patients (90.2%) did not experience tumor recurrence. The mean estimated disease free survival was 80.2 months. The estimated 1-, 2-, 5-, and 7-year survival rates were 97.9%, 93.1%, 93.1%, and 93.1%, respectively. The most common adverse effects were gastrointestinal symptoms (21.6%), chills (17.6%), dizziness (9.8%), and bone pain (7.8%). No cardiac or hematologic adverse events occurred. Conclusion: Adjuvant therapy with trastuzumab for 6 months resulted in a clinical benefit in patients with HER2-positive breast cancer.
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Chin-Feng Lai,Min Chen,Jeng-Shyang Pan,Chan-Hyun Youn,Han-Chieh Chao IEEE 2014 IEEE Journal of Biomedical and Health Informatics Vol.18 No.2
<P>As cloud computing and wireless body sensor network technologies become gradually developed, ubiquitous healthcare services prevent accidents instantly and effectively, as well as provides relevant information to reduce related processing time and cost. This study proposes a co-processing intermediary framework integrated cloud and wireless body sensor networks, which is mainly applied to fall detection and 3-D motion reconstruction. In this study, the main focuses includes distributed computing and resource allocation of processing sensing data over the computing architecture, network conditions and performance evaluation. Through this framework, the transmissions and computing time of sensing data are reduced to enhance overall performance for the services of fall events detection and 3-D motion reconstruction.</P>
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An enhanced dynamic differential annealed algorithm for global optimization and feature selection
Hussien Abdelazim G,Kumar Sumit,Singh Simrandeep,Pan Jeng-Shyang,Hashim Fatma A 한국CDE학회 2024 Journal of computational design and engineering Vol.11 No.1
Dynamic differential annealed optimization (DDAO) is a recently developed physics-based metaheuristic technique that mimics the classical simulated annealing mechanism. However, DDAO has limited search abilities, especially when solving complicated and complex problems. A unique variation of DDAO, dubbed as mDDAO, is developed in this study, in which opposition-based learning technique and a novel updating equation are combined with DDAO. mDDAO is tested on 10 different functions from CEC2020 and compared with the original DDAO and nine other algorithms. The proposed mDDAO algorithm performance is evaluated using 10 numerical constrained functions from the recently released CEC 2020 benchmark suite, which includes a variety of dimensionally challenging optimisation tasks. Furthermore, to measure its viability, mDDAO is employed to solve feature selection problems using fourteen UCI datasets and a real-life Lymphoma diagnosis problem. Results prove that mDDAO has a superior performance and consistently outperforms counterparts across benchmarks, achieving fitness improvements ranging from 1% to 99.99%. In feature selection, mDDAO excels by reducing feature count by 23% to 79% compared to other methods, enhancing computational efficiency and maintaining classification accuracy. Moreover, in lymphoma diagnosis, mDDAO demonstrates up to 54% higher average fitness, 18% accuracy improvement, and 86% faster computation times.
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Research on effect of rings on coupling vibration in a rigid-disk rotor
YiJui Chiu,Xiao-Yun Li,Guo-Fei Yu,Chia-Hao Yang,Jeng-Shyang Pan,ChinLing Chen 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.2
This paper uses new deductions of the equation of motion and obtains new modes of change that differ from the authors’ previous research. The blade-bending, shaft-torsion and ringbending coupled vibration influence of a single-disk rotor whose blade subsystem was coated with a ring is investigated. In the last two years, the authors adopted two methods, the assumed mode method and finite element method, and compared both parties results. This article continues that work. In this paper, the phenomena of ring joint coupling vibrations are different and interesting. The authors defined two new types, the shaft-blade-ring (SBR) and blade-ring (BR) modes. These two coupling modes can be mutually affected by the shaft, blade, and ring, and no single subsystem predominates. The new change rules of natural frequencies of rotors with two to 15 blades and those of mode shapes are discussed. The influence of the ring thickness and rotational speed are also studied in this paper.
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