How motivations of SNSs use and offline social trust affect college students' self-disclosure on SNSs: An investigation in China

Social Networking Sites (SNSs) have been proliferating and growing in popularity worldwide throughout the past few years, which have received significant interest from researchers. Previous literatures on Internet suggest that offline social trust influences online perceptions and behaviors, and there is linkage between trust and self-disclosure in face-to-face context. Adopting the Uses and Gratifications perspective as the theoretical foundation, this exploratory study aimed to address the roles that motivations of SNSs use and offline social trust play in predicting levels of self-disclosure on SNSs. Taking 640 snowballing sampling on Renren.com, the study found that there was an instrumental orientation of SNSs use among China's college students. Social interaction, self-image building and information seeking were three major motivations when college students use SNSs. As expected, the results also indicated that motivations of SNS use and offline social trust play a more important role in predicting self-disclosure on SNSs than demographics. This exploratory study gives an empirical insight in the influence of motivations of SNSs use and offline social trust on self-disclosure online. --Social Networking Sites,Motivations,Self-disclosure,Offline Social Trust

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Business; Management science; Management; Business enterprises—Finance; Manpower polic

Facilitating Technology Transfer by Patent Knowledge Graph

Technologies are one of the most important driving forces of our societal development and realizing the value of technologies heavily depends on the transfer of technologies. Given the importance of technologies and technology transfer, an increasingly large amount of money has been invested to encourage technological innovation and technology transfer worldwide. However, while numerous innovative technologies are invented, most of them remain latent and un-transferred. The comprehension of technical documents and the identification of appropriate technologies for given needs are challenging problems in technology transfer due to information asymmetry and information overload problems. There is a lack of common knowledge base that can reveal the technical details of technical documents and assist with the identification of suitable technologies. To bridge this gap, this research proposes to construct knowledge graph for facilitating technology transfer. A case study is conducted to show the construction of a patent knowledge graph and to illustrate its benefit to finding relevant patents, the most common and important form of technologies

Matrix Completion with Noise via Leveraged Sampling

Many matrix completion methods assume that the data follows the uniform distribution. To address the limitation of this assumption, Chen et al. \cite{Chen20152999} propose to recover the matrix where the data follows the specific biased distribution. Unfortunately, in most real-world applications, the recovery of a data matrix appears to be incomplete, and perhaps even corrupted information. This paper considers the recovery of a low-rank matrix, where some observed entries are sampled in a \emph{biased distribution} suitably dependent on \emph{leverage scores} of a matrix, and some observed entries are uniformly corrupted. Our theoretical findings show that we can provably recover an unknown $n\times n$ matrix of rank $r$ from just about $O(nr\log^2 n)$ entries even when the few observed entries are corrupted with a small amount of noisy information. Empirical studies verify our theoretical results

Does Zero-leverage Policy Increase Inefficient Investment? - From The Perspective Of Lack Of Bank Creditors

Using a sample of up to 12023 firm-year observations across 2358 individual firms from 2007 to 2013, this paper examines whether zero-leverage policy increases firms’ inefficient investment from the perspective of lack of bank creditors. Due to the lack of bank creditor monitoring, zero-leverage policy leads to more serious information asymmetry and agency problems, which are the two types of frictions that affect investment efficiency. The empirical results show that zero-leverage policy indeed increases inefficient investment. Furthermore, we test whether external monitoring helps to mitigate the effects of zero-leverage policy on inefficient investment. Our findings suggest that the sensitivity between zero-leverage policy and inefficient investment will be lower in firms with strong external monitoring. Overall, the zero-leverage policy seems to be a key determinant of inefficient investment

Exploiting the inherent coordination of central pattern generator in the Control of humanoid robot walking

Ph.DDOCTOR OF PHILOSOPH

Finite difference preconditioning for solving orthogonal collocation equations of boundary value problems

This is the published version, also available here: http://dx.doi.org/10.1137/S0036142993249760.A technique to construct a low-order finite difference preconditioner for solving orthogonal collocation equations for boundary value problems is presented. It is shown numerically and theoretically that the spectral condition numbers of the preconditioned collocation matrices are bounded by constants independent of the number of mesh nodes when certain exact low-order finite difference preconditionings are used. Preconditioners based on incomplete LU factorization are also discussed. Numerical experiments show the efficiency and robustness of the preconditioning