Scaling behavior of nucleotide cluster in DNA sequences

In this paper we study the scaling behavior of nucleotide cluster in 11 chromosomes of Encephalitozoon cuniculi Genome. The statistical distribution of nucleotide clusters for 11 chromosomes is characterized by the scaling behavior of P（S） ∝ e^-αs＇ where S represents nucleotide cluster size. The cluster-size distribution P（S1＋S2） with the total size of sequential C-G cluster and A-T cluster S1＋S2 were also studied. P（S1＋S2） follows exponential decay. There does not exist the case of large C-G cluster following large A-T cluster or large A-T cluster following large C-G cluster. We also discuss the relatively random walk length function L（n） and the local compositional complexity of nucleotide sequences based on a new model. These investigations may provide some insight into nucleotide cluster of DNA sequence.     

Novel high torque bearingless two-sided rotary ultrasonic motor

Applications are limited at present because the currently available ultrasonic motors (USMs) do not provide suffi-ciently high torque and power. The conventional travelling-wave USM needs the bearing to support, which required lubricant. To solve the above problem, a bearingless travelling-wave USM is designed. First, a novel structure of the two-sided USM consisting of a two-sided teeth stator and two disk-type rotors is designed. And the excitation principle of the two-sided travelling-wave USM is analyzed. Then, using ANSYS software, we set up the model of the stator to predict the excitation frequency and modal response of the stator. The shape of the vibration mode was obtained. Last, the load characteristics of the USM are measured using ex-perimental method. The maximum stall torque and the no-load speed were obtained. The results showed that the characteristics of the two-sided USM are better than those of the conventional one-sided USM.     

Confronting Challenges to the Liberal Arts Curriculum: Perspectives of Developing and Transitional Countries

Contemporary international higher education scholarship tends to focus on the global financial crisis,on massification,privatization,cross-border education,university ranking,and student mobility.However,few studies deal with the development of liberal arts programs around the world and they are often related to Western systems of higher education or that of the US,where liberal arts education has long been seen as a fundamental issue.Comparative studies,however,could help scholars to become aware of critical trends and reforms,also the impact they might have on a global society.     

Rethinking the World Bank Agenda for Chinese Higher Education Reform

This article explores the way in which the World Bank has worked effectively with China in higher education. It investigates whether or not the cooperation between the two has changed in line with their changing relationship. More specifically, it discusses whether the World Bank’s China agenda reflects the reform package of socio-institutional neoliberalism which the World Bank has tended to promote worldwide in the era of the Post-Washington Consensus, and how China’s higher education reform has been influenced by the agenda. The article argues that as China is transferring its role from that of a recipient country to that of a donor country, it is increasingly important to position itself as a global player. Other than mastering the game rules of the international community, China should also expand its influence within and through these major international organizations.     

Enhancing Overseas Chinese Graduate Employability: The Case of Chinese Graduates with Finnish Academic Qualifications

This paper explores ways to enhance overseas Chinese graduate employability by taking Finnish-educated Chinese students/graduates as an example. In so doing, it understands that graduate employability development is a joint effort of multiple stakeholders including students, graduates, academics, program coordinators, employers, and policymakers. Accordingly, it provides arguments and suggestions for how to enhance the employability of these graduates in terms of the labor market context, employers’ beliefs and actions, the responsibilities of higher education institutions, and student/graduate commitment. It also points out two major challenges faced by overseas Chinese graduates as well as their educational providers, which are linked respectively to gaps between what graduates acquire in higher education and what is required in the labor market, as well as gaps from the employers’ perspective: areas where employers need to understand more about universities and catch up with new ideas generated by them.     

Success,failure and emotions: examining the relationship between performance feedback and emotions in diagnostic reasoning

Students experience a variety of emotions following achievement outcomes which stand to influence how they learn and perform in academic settings. However, little is known about the link between student outcome emotions and dimensions of performance feedback in computer-based learning environments (CBLEs). Understanding the dynamics of this relationship is particularly important for high-stakes, competency-based domains such as medical education. In this study, we examined the relationship between medical students’ (N = 30) outcome emotion profiles and their performance on a diagnostic reasoning task in the CBLE, BioWorld. We found that participants could be organized into distinct emotion groups using k-means cluster analyses based on their self-reported outcome emotion profiles: an expected positive emotion cluster and negative emotion cluster and an unexpected low intensity emotion cluster. A clear relationship was found between emotion clusters and diagnostic performance such that participants classified to the positive emotion cluster had the highest performance; those classified to the negative emotion cluster had the lowest performance; and those classified to the low intensity emotion cluster had performance outcomes that fell between the other two. Our discussion focuses on the theoretical implications of emotion classification and design recommendations for learning environments and emotional interventions in computer-based contexts.