Rates and Predictors of Counseling Center Use Among College Students of Color

A comparison of institutional enrollment data and counseling center service utilization data at 66 universities showed that neither ethnic minority students nor European American students under‐ or overutilized counseling services (Study 1). Data from Study 2 examining students in the general campus bodies at 45 institutions indicated that utilization of counseling center services for students of various ethnicities was predicted by the ethnic composition of the counseling center staff. Among students of color, utilization of campus counseling services was predicted by greater psychological distress, less family support, and a history of previous psychological problems.     

Quantification of the physiological loading of one week of "pre-season" and one week of "in-season" training in professional soccer players

The aim of this study was to quantify the physiological loads of programmed "pre-season" and "in-season" training in professional soccer players. Data for players during each period were included for analysis (pre-season, n = 12; in-season, n = 10). We monitored physiological loading of training by measuring heart rate and rating of perceived exertion (RPE). Training loads were calculated by multiplying RPE score by the duration of training sessions. Each session was sub-categorized as physical, technical/tactical, physical and technical/tactical training. Average physiological loads in pre-season (heart rate 124 ± 7 beats · min(-1); training load 4343 ± 329 Borg scale · min) were higher compared with in-season (heart rate 112 ± 7 beats · min(-1); training load 1703 ± 173 Borg scale · min) (P < 0.05) and there was a greater proportion of time spent in 80-100% maximum heart rate zones (18 ± 2 vs. 5 ± 2%; P < 0.05). Such differences appear attributable to the higher intensities in technical/tactical sessions during pre-season (pre-season: heart rate 137 ± 8 beats · min(-1); training load 321 ± 23 Borg scale · min; in-season: heart rate 114 ± 9 beats · min(-1); training load 174 ± 27 Borg scale · min; P < 0.05). These findings demonstrate that pre-season training is more intense than in-season training. Such data indicate that these adjustments in load are a direct attempt to deliver training to promote specific training adaptations.     

Critical Perspectives on Colonisation of the Art Curriculum in Korea

This article examines some characteristics of art education in Korea. It takes the form of a historical overview using a postcolonial lens. The findings were that the predominant Western aesthetic concepts and theories as central culture embodied in Korean art education as local culture are: (i) ideas of art as self‐expression developed in Europe and the USA between the 1920s and 1950s; (ii) the concept of art in daily living in the USA in the 1930s; (iii) design elements and principles by Arthur Wesley Dow in the USA in the 1920s; (iv) Bauhaus design theory in Europe in the 1920s; and (v) the appreciation of nature beauty by John Ruskin in the late nineteenth century in England. These educational ideas have been influential on policy‐making in Korean art education, and therefore new concepts are integrated with these elements for curriculum changes. In this way, the characteristic of the colonised Korean art curriculum is so hybrid that it is difficult to understand the concepts and the practical implications of the various policies for art teaching. Consequently, it has not served the issues of cultural diversity and pluralism that are so problematic in twenty‐first century Korean society.     

A local tree alignment approach to relation extraction of multiple arguments

In this paper, we address the problem of relation extraction of multiple arguments where the relation of entities is framed by multiple attributes. Such complex relations are successfully extracted using a syntactic tree-based pattern matching method. While induced subtree patterns are typically used to model the relations of multiple entities, we argue that hard pattern matching between a pattern database and instance trees cannot allow us to examine similar tree structures. Thus, we explore a tree alignment-based soft pattern matching approach to improve the coverage of induced patterns. Our pattern learning algorithm iteratively searches the most influential dependency tree patterns as well as a control parameter for each pattern. The resulting method outperforms two baselines, a pairwise approach with the tree-kernel support vector machine and a hard pattern matching method, on two standard datasets for a complex relation extraction task.     

A novel on-chip three-dimensional micromachined calorimeter with fully enclosed and suspended thin-film chamber for thermal characterization of liquid samples

A microfabricated calorimeter (μ-calorimeter) with an enclosed reaction chamber is presented. The 3D micromachined reaction chamber is capable of analyzing liquid samples with volume of 200 nl. The thin film low-stress silicon nitride membrane is used to reduce thermal mass of the calorimeter and increase the sensitivity of system. The μ-calorimeter has been designed to perform DC and AC calorimetry, thermal wave analysis, and differential scanning calorimetry. The μ-calorimeter fabricated with an integrated heater and a temperature sensor on opposite sides of the reaction chamber allows to perform thermal diffusivity and specific heat measurements on liquid samples with same device. Measurement results for diffusivity and heat capacitance using time delay method and thermal wave analysis are presented.     

The Effects of Conversational Language on Group Interaction and Group Performance in Computer-Supported Collaborative Argumentation

This study examined the effects of conversational language (e.g., asking questions, inviting replies, acknowledgments, referencing others by name, closing signatures, ‘I agree, but’, greetings, etc.) on the frequency and types of responses posted in reply to given types of messages (e.g., argument, evidence, critique, explanation), and how the resulting response patterns support and inhibit collaborative argumentation in asynchronous online discussions. Using event sequence analysis to analyze message-response exchanges in eight online group debates, this study found that (a) arguments elicited 41% more challenges when presented with more conversational language (effect size .32), (b) challenges with more conversational language elicited three to eight times more explanations (effect size .12 to .31), and (c) the number of supporting evidence elicited by challenges was not significantly different from challenges that used more versus less conversational language. Overall, these and other findings from exploratory post-hoc tests show that conversational language can help to produce patterns of interaction that foster high levels of critical discourse, and that some forms of conversational language are more effective in eliciting responses than others.     

An XPath-based OWL storage model for effective ontology management in Semantic Web environment

With the rapid growth of the Web, the volume of information on the Web is increasing exponentially. However, information on the current Web is only understandable to humans, and this makes precise information retrieval difficult. To solve this problem, the Semantic Web was proposed. We must use ontology languages that can assign data the semantics for realizing the Semantic Web. One of the representative ontology languages is the Web ontology language OWL, adopted as a recommendation by the World-Wide Web Consortium （W3C）. OWL includes hierarchical structural information between classes or prop- erties. Therefore, an efficient OWL storage model that considers a hierarchical structure for effective information retrieval on the Semantic Web is required. In this paper we suggest an XPath-based OWL storage （XPOS） model, which includes hierarchical information between classes or properties in XPath form, and enables intuitive and effective information retrieval. Also, we show the comparative evaluation results for the performance of the XPOS model, Sesame, and the XML file system-based storage （XFSS） model, in terms of query processing and ontology updating.