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In 2012, the Taiwanese Ministry of Education launched a new quality assurance policy entitled 'self-accreditation', aimed at enhancing institutional autonomy, as well as establishing its internal quality review mechanism. In the self-accreditation policy, higher education institutions are encouraged to develop their own quality assurance frameworks based on strategic direction and institutionally specific features. The study adopts qualitative and quantitative approaches to explore the impacts and challenges of the 2012 Ministry of Education self-accreditation policy over Taiwanese universities and accrediting bodies. There are three major findings. 1. Self-accreditation policy had positive consequences and outcomes on university's internal quality assurance capacity building. 2. Inappropriate selection processes of reviewers, arbitrary elimination of standards and indicators, inconsistency across review decisions are the challenges that self-accrediting universities encountered. 3. Under the new quality assurance policy, the roles and responsibilities of external quality assurance agencies should be redefined.

Abstract IEEE 802.11 is the most popular and widely used standard for wireless local area network communication. It has attracted countless numbers of studies devoted to improving the performance of the standard in many ways. In this article, we performed theoretical analyses for providing a solution to the maximum throughput problem for the IEEE 802.11 distributed coordination function, and an algorithm using a binary cubic equation for obtaining a much closer approximation of the optimal solution than previous algorithms. Moreover, by studying and analyzing the characteristics of the proposed algorithm, we found that the effects of backoff counter consecutive freeze process could be neglected or even disregarded. Using the NS2 network simulator, we not only showed that the proposed theoretical analysis complied with the simulated results, but also verified that the proposed approach outperformed others in achieving a much closer approximation to the optimal solution.