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p-Index From 2020 - 2025
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All Journal Rekayasa Mesin Journal of Governance and Public Policy
Yang, Yu-Sheng
Unknown Affiliation
Mechanical Engineering Social Sciences

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Design and Analysis of a Dynamic Splint Based on Pulley Rotation for Post-Stroke Finger Extension Rehabilitation Device Emzain, Zakki Fuadi; Huang, Shyh-Chour; Yang, Yu-Sheng; Qosim, Nanang
Jurnal Rekayasa Mesin Vol 11, No 3 (2020)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jrm.2020.011.03.20

Abstract

The presence of rehabilitation tools is essential to more rapidly cure hand muscle disorders of people affected by stroke. One of the tools is a dynamic splint that is fit-sized, lightweight, comfortable to wear, and easy to operate. The paper proposes the design and analysis of new dynamic splints based on pulley rotation as a rehabilitation device for finger extension after stroke. This device consists of the main splint, the pulley, the locker, the finger handles, the ball bearing, and the fishing line. To lock and stop pulley turning, the locking system is designed to complement it which is also the most important mechanical segment. The shear stress of the pulley was 0.026 N/mm2. The deformation, stress, and strain energy of the locking system section were analyzed by the finite element method. The results showed that the deformation distribution around the locker section was at 0.1-0.15 mm intervals. The maximum stress 25.0786 MPa, which is still inferior to the yield strength of ABS Material (28.5 MPa). The safety factor of the structure is about n = 1.14. The largest strain energy was 0.2856 mJ at the same place as with the maximum stress which was close to the conical end of the locker. The correlation between stress-strain energy and moment was linear as well. In future work, a prototype will be fabricated using 3D printers, and it will be applied to the stroke patient. In addition, the therapies will be involved to assess the improvement of the finger extension of stroke patients.
Governing AI in Public HRM: A Critical Analysis of Taiwan’s Draft Artificial Intelligence Basic Law Yang, Yu-Sheng
Journal of Governance and Public Policy Vol. 12 No. 3 (2025): October 2025
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jgpp.v12i3.26878

Abstract

This study evaluates the suitability of the Draft Artificial Intelligence Basic Law (2024) for public human resource management (PHRM) in Taiwan, focusing on data privacy, algorithmic fairness, decision transparency, and accountability. PHRM involves recruitment, evaluation, and appointment processes that extensively apply personal data and algorithms, entailing significant legal and ethical risks. Using qualitative methods, this study compares Taiwan’s approach with the EU’s risk-based and the US’s market-driven models. Triangulation and institutional analysis are employed to assess the draft’s provisions on legitimacy, fairness, and accountability. Findings showed the draft omits key rights such as data portability, the right to be forgotten, and data protection impact assessments (DPIA), and lacks algorithm audits, disclosure, and appeal mechanisms. These gaps may lead to bias, opacity, and violations of rights, with risks amplified under conditions of regulatory flexibility. The novelty of this study lies in its integration of AI governance with the specific context of public human resource management in Taiwan, an area where legal-ethical risks are high but underexplored in existing literature. Unlike prior research that mainly addresses AI governance in commercial or general administrative domains, this study highlights how the unique features of PHRM—such as recruitment algorithms and performance evaluation systems—intersect with data rights and accountability requirements. By situating the Draft AI Law within this sensitive policy arena, the study extends ICT adoption theories beyond traditional models emphasizing usefulness and ease of use, foregrounding public values, ethical safeguards, and institutional legitimacy. From a policy perspective, this study recommends strengthening data rights, establishing compliance and audit systems, creating independent regulatory bodies, and implementing disclosure requirements, thereby providing both theoretical and practical insights for AI governance in Taiwan and the broader region.
Co-Authors Huang, Shyh-Chour Nanang Qosim Zakki Fuadi Emzain