Automatic assessment of cognitive and emotional states in virtual reality-based flexibility training for four adolescents with autism

Tracking students’ learning states to provide tailored learner support is a critical element of an adaptive learning system. This study explores how an automatic assessment is capable of tracking learners’ cognitive and emotional states during virtual reality (VR)-based representational-flexibility training. This VR-based training program aims to promote the flexibility of adolescents with autism spectrum disorder (ASD) in interpreting, selecting and creating multimodal representations during STEM-related design problem solving. For the automatic assessment, we used both natural language processing (NLP) and machine-learning techniques to develop a multi-label classification model. We then trained the model with the data from a total of audio- and video-recorded 66 training sessions of four adolescents with ASD. To validate the model, we implemented both k-fold cross-validations and the manual evaluations by expert reviewers. The study finding suggests the feasibility of implementing the NLP and machine-learning driven automatic assessment to track and assess the cognitive and emotional states of individuals with ASD during VR-based flexibility training. The study finding also denotes the importance and viability of providing adaptive supports to maintain learners’ cognitive and affective engagement in a highly interactive digital learning environment.     

青藏高原降血脂药物研究进展

随着人们生活水平的不断提高,高脂血症的发病率呈明显上升趋势,高脂血症又是诱发冠状动脉粥样硬化性心脏病(冠心病)、动脉硬化、脂肪肝、糖尿病、肥胖症等的重要因素,因此寻找高效无毒的降血脂药物有着重要的现实意义。本文简要介绍了青藏高原主要降血脂药物成分和功效及其研究进展。     

Drop-to-drop liquid–liquid extraction of DNA in an electrowetting-on-dielectric digital microfluidics

Recent advancements in microfluidics and lab-on-a-chip technologies enabled miniaturization and automation of many downstream nucleic acid analysis steps such as PCR. However, DNA extraction/isolation protocol remains a stand-alone sample preparation step. For a quick sample-to-result solution, downstream protocols and sample preparation protocols need to be seamlessly integrated into a single lab-on-a-chip platform. As a step toward such integration, this paper introduces microfluidic DNA isolation using the liquid–liquid extraction (LLE) method in the drop-to-drop (DTD) format. The electrowetting-on-dielectric digital microfluidic platform is capable of handling a two-phase liquid system easily, which enables DTD LLE. In this study, the extraction of plasmid DNA (pDNA) from an aqueous sample to an ionic liquid is demonstrated. Prior to pDNA extraction study, the DTD LLE protocol was developed and optimized using organic dyes as solutes. The selective extraction of pDNA in the presence of proteins as interfering molecules is also demonstrated. This work implies that DTD LLE can substitute for magnetic beads steps in standard DNA isolation protocols.     

A case of korean higher education reform: The brain korea 21 project

The purpose of this paper is to examine current status, issues, and visions of higher education reform in Korea by focusing on ‘Brain Korea 21’ (BK21). ‘Brain Korea 21’ (BK21), is a major higher education reform project initiated by the South Korean government to prepare Korean human resources for the 21^st century. ‘Brain Korea 21’ (BK21) aims at fostering world-class graduate schools and high quality scholars by providing funds to higher education institutions. In this paper, societal, economic and educational changes which led to the initiation of BK 21 and its implementation processes are described first. Then, some resistance and controversies against BK 21 are discussed. Major achievements of BK 21 are highlighted and future directions of higher education reform in South Korea are addressed.     

“Active Citizenship Is an Awesome Party!” Creating In-Between Spaces for the School-Community-University Partnership

An arts-based afterschool program is introduced in advancing children's democratic citizenship and a sense of community.     

An Erosion Model of Employee Turnover Based on Network Centrality

An Erosion Model (EM) of employee turnover is introduced to explain the previously observed negative relationship between network centrality and employee turnover. The EM hypothesizes that social support moderates the centrality–turnover relation as those more active in the organization's social network experience less job strain due to esteem provided by work peers. Three EM hypotheses were supported using meta-analytic procedures with significant relations identified between centrality and turnover (k=5, r=.29), social support and centrality (k=7, r=.23), and social support and turnover intentions (k=17, r=.35). Future research for EM expansion and practical applications are proposed.