Exploring the Activeness of Professional Online Community Members

With the rapid development and advancement of virtual communities and collaboration, it raises both opportunities and challenges for the online community members. Professional online communities have formed and flourished rapidly with the proliferation of network access in the past two decades. This study aims to explore the activeness of professional online community members by proposing a framework that built upon the Self-Determination Theory. Extant studies on motivation of online community members activeness mostly focus on extrinsic motivation in terms of rewards. We investigate users’ behavior with their intrinsic motivation from the prospective of individuals’ immanent psychological needs. Specially, we investigate the consistency between community discussion topics and the user’s interests, and define it as attraction level. We believe that higher attraction level will lead to higher user activeness. Empirical data will be tested in the future

Evaluation of Governance Risk in Industry-University-Research Collaborative Innovation Project: Based on BP Neural Networks

Funding: This research was funded by [Projects of the National Social Science Foundation of China] grant number [18BGL020] Abstract Effective evaluation of project governance risks is of great significance to the successful implementation of industry-university-research collaborative innovation project. By introducing the idea of project governance into risk management in industry-university-research collaborative innovation project, this paper analyzes governance risk sources from four aspects, based on the project characteristics, which include the background of participators, organizational structure, project objectives and the relationship of the main participators from the view of project governance. The governance risks are categorized as structure risk, morality risk and behavior risk. The evaluation system of governance risk in Industry-University-Research collaborative innovation project is established. The BP neural network model is applied to assess risk and the MATLAB is used to process data according to the features of project governance risk and theory analysis. Finally, the model is checked by empirical test. This model solves the problem that the risks are difficult to quantify. Scientific nature of the feasibility of the evaluation is improved by the model. At the same time, not only the research field of project governance risk but also risk research of industry-university-research collaborative innovation project is extended. Keywords: industry-university-research, collaborative innovation, project governance risk, risk origin, BP neural network

Thermal diffusion in fabrics and a graphics algorithm for apparel pattern reconstruction

This paper proposes a new apparel pattern-reconstruction method, which breaks sets of patterns into multiple parts according to special thermal characteristics in different parts of human body

The existence of ground state solutions for semi-linear degenerate Schrödinger equations with steep potential well

In this article, we study the following degenerated Schrödinger equations: −∆γu + λV(x)u = f(x, u) in RN, u ∈ Eλ , where λ > 0 is a parameter, ∆γ is a degenerate elliptic operator, the potential V(x) has a potential well with bottom and the nonlinearity f(x, u) is either super-linear or sub-linear at infinity in u. The existence of ground state solution be obtained by using the variational methods