Transnational Collaboration Within Higher Education in China: Context, Characteristics, and Challenges

This paper discusses the development of transnational collaboration in Chinese higher education (TNHE). TNHE refers to arrangements and institutional partnerships between Educational Institutions, in which the students are located in different countries from the one in which the awarding institution is based. Through analyzing the cases of TNHE in China, we found that the convergence/globalization model and the borrowing/localization model are two main TNHE prototypes. TNHE in China is guided by the Government, which is aiming to enhance China’s international competitiveness, in a globalizing world. This paper discusses the consumers and the operation of TNHE in China. In addition to the context analysis, critical factors for the success of TNHE in China are addressed, consisting of the long-term strategic vision, governance, management, and strategy. TNHE in China faces several challenges, including duplication of similar projects, quality assurance and legal status. Based on the comprehensive analysis, a business model of TNHE of China is proposed

Herding Effect based Attention for Personalized Time-Sync Video Recommendation

Time-sync comment (TSC) is a new form of user-interaction review associated with real-time video contents, which contains a user's preferences for videos and therefore well suited as the data source for video recommendations. However, existing review-based recommendation methods ignore the context-dependent (generated by user-interaction), real-time, and time-sensitive properties of TSC data. To bridge the above gaps, in this paper, we use video images and users' TSCs to design an Image-Text Fusion model with a novel Herding Effect Attention mechanism (called ITF-HEA), which can predict users' favorite videos with model-based collaborative filtering. Specifically, in the HEA mechanism, we weight the context information based on the semantic similarities and time intervals between each TSC and its context, thereby considering influences of the herding effect in the model. Experiments show that ITF-HEA is on average 3.78\% higher than the state-of-the-art method upon F1-score in baselines.Comment: ACCEPTED for ORAL presentation at IEEE ICME 201

Sequential Wnt Agonist then Antagonist Treatment Accelerates Tissue Repair and Minimizes Fibrosis

Tissue fibrosis compromises organ function and occurs as a potential long-term outcome in response to acute tissue injuries. Currently, lack of mechanistic understanding prevents effective prevention and treatment of the progression from acute injury to fibrosis. Here, we combined quantitative experimental studies with a mouse kidney injury model and a computational approach to determine how the physiological consequences are determined by the severity of ischemia injury, and to identify how to manipulate Wnt signaling to accelerate repair of ischemic tissue damage while minimizing fibrosis. The study reveals that Wnt-mediated memory of prior injury contributes to fibrosis progression, and ischemic preconditioning reduces the risk of death but increases the risk of fibrosis. Furthermore, we validated the prediction that sequential combination therapy of initial treatment with a Wnt agonist followed by treatment with a Wnt antagonist can reduce both the risk of death and fibrosis in response to acute injuries