City int Advanced Research Center

Suzhou, China

City int Advanced Research Center

Suzhou, China
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Yu A.Y.,City University of Hong Kong | Tian S.W.,Hong Kong University of Science and Technology | Tian S.W.,City int Advanced Research Center | Vogel D.,City University of Hong Kong | Chi-Wai Kwok R.,City University of Hong Kong
Computers and Education | Year: 2010

Online social networking has deeply penetrated university campuses, influencing multiple aspects of student life. We investigate the impacts of individual online social networking engagement (e.g., on Facebook) from a pedagogical standpoint. Based on social learning theory, we argue that two socialization processes, social acceptance and acculturation, bridge individual online social networking engagement with three domains of social learning outcomes. Results from a survey accompanied by focus group discussions demonstrate the substantial impacts of university student online social networking engagement on social learning processes and outcomes. Online social networking not only directly influences university students' learning outcomes, but also helps the students attain social acceptance from others and adapt to university culture, both of which play prominent roles in improving their learning outcomes. © 2010 Elsevier Ltd. All rights reserved.

Xu K.,City University of Hong Kong | Xu J.,Southwest Jiaotong University | Liu L.,City int Advanced Research Center | Ren J.S.J.,City University of Hong Kong | And 3 more authors.
PACIS 2010 - 14th Pacific Asia Conference on Information Systems | Year: 2010

Acquiring accurate and timely market share information is very important for producers to arrange producing plan and design marketing strategy. However the high cost and long period of collecting survey data in survey-based method make it much difficult to easily get latest market shares data. Recently, the emerging online web systems provide users with new and convenient ways of searching, learning, experiencing and buying products. The users' activities data captured by these web systems can reflect users' buying intentions and behaviours very well, and contain very valuable information for predicting market shares. In this study, the correlation between Google search index and market shares of mobile phones is analyzed with time series analysis technology. The experiment result shows the statistically significant relationships exist between search index and market shares. This indicates the easily got search index data with low cost has the power of timely forecasting market shares. This study opens a door to apply users' online activities data to accurately and timely predict market shares, which will bring many benefits to producers and customers.

Li C.,Soochow University of China | Li C.,City University of Hong Kong | Li C.,Hefei University of Technology | Li C.,City int Advanced Research Center | And 3 more authors.
Acta Mechanica Solida Sinica | Year: 2011

The torsional static and dynamic behaviors of circular nanosolids such as nanoshafts, nanorods and nanotubes are established based on a new nonlocal elastic stress field theory. Based on a new expression for strain energy with a nonlocal nanoscale parameter, new higher-order governing equations and the corresponding boundary conditions are first derived here via the variational principle because the classical equilibrium conditions and/or equations of motion can-not be directly applied to nonlocal nanostructures even if the stress and moment quantities are replaced by the corresponding nonlocal quantities. The static twist and torsional vibration of cir-cular, nonlocal nanosolids are solved and discussed in detail. A comparison of the conventional and new nonlocal models is also presented for a fully fixed nanosolid, where a lower-order governing equation and reduced stiffness are found in the conventional model while the new model reports opposite solutions. Analytical solutions and numerical examples based on the new nonlocal stress theory demonstrate that nonlocal stress enhances stiffness of nanosolids, i.e. the angular displace-ment decreases with the increasing nonlocal nanoscale while the natural frequency increases with the increasing nonlocal nanoscale. © 2011 The Chinese Society of Theoretical and Applied Mechanics.

Huang L.,City int Advanced Research Center | Tan C.-H.,City University of Hong Kong | Ke W.,Clarkson University
International Conference on Information Systems 2011, ICIS 2011 | Year: 2011

This study explores how consumers, who differ in their psychological distance toward the purchasing event (i.e., temporal distance) or toward product review writers (i.e., social distance), comprehend concrete or abstract reviews. Two experiments were conducted. The first experiment examined how a consumer's perception of temporal distance, near future or distant future, would affect his/her comprehension of product reviews of varying abstractness. Results reveal that consumers of near temporal distance perceive concrete reviews to be more helpful. These consumers express a higher recall ability compared to counterparts of distant temporal distance. However, consumers of near temporal distance perceive abstract reviews to be less helpful and express a lower recall ability compared to those of distant temporal distance. The second experiment investigated how social distance, i.e., whether the review is written by someone who is perceived to be socially close to the reader would influence his/her comprehension of product reviews of varying abstractness. Results indicate that, with the provision of concrete reviews, consumers perceive non-significant difference of the review helpfulness under near and distant social distance and exhibit comparable recall ability. With the provision of abstract reviews, however, consumers of a near social distance recognize the reviews as helpful and recall the product better than did those of a distant social distance. This study presents a theoretically-driven and empirically- validated proposition to improve the presentation of product reviews to aid consumer review comprehension. © (2011) by the AIS/ICIS Administrative Office All rights reserved.

Wang C.,Hefei University of Technology | Wang C.,City University of Hong Kong | Wang C.,City int Advanced Research Center | Zhang R.,City University of Hong Kong | Lin Z.,Hefei University of Technology
Journal of Theoretical and Computational Chemistry | Year: 2012

Hydrogen bond interactions in biological systems are important scientific issues but are challenging for their theoretical determinations at quantum-mechanical level of theory. Due to the different approximations, the available theoretical approaches often predict diverse hydrogen bond lengths and strengths. In this work, we evaluated the reliabilities of a number of widely used theoretical approaches including HF, SVWN, BLYP, PW91, B3LYP, BH and HLYP, B97D, M06L, MP2, and DFTB-D in studying hydrogen bonding, by calculating the hydrogen bond lengths and binding energies of 23 dimers formed by HCOOH, NH 3 and Glycine. We also compared the effects of STO-3G, 6-31+G**, 6-311++G** and 6-311++G(2df,2p) basis sets on the results. Our result shows that, M06L, B3LYP and BHandHLYP methods can predict accurate dimer structures with a moderate basis set. Moreover, DFTB-D also gives reasonably reliable results with high efficiency and satisfactory precision, being a good choice for studying complex structures which contain hydrogen bonds. © 2012 World Scientific Publishing Company.

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