Factors Affecting Career Value of College Students in Heilongjiang International University in China

This study was conducted to explore the factors affecting the career values of college students First of all, the factors affecting career values were identified.  In this study a quantitative survey questionnaire was utilized. A total of 200 respondents participated in the survey on college students' career values. Data was analyzed through multiple regression analysis. Results showed that group mentoring, individual mentoring and practical courses have a significant affect on the career values of college students

Perspective of monochromatic gamma-ray line detection with the High Energy cosmic-Radiation Detection (HERD) facility onboard China's Space Station

HERD is the High Energy cosmic-Radiation Detection instrument proposed to operate onboard China's space station in the 2020s. It is designed to detect energetic cosmic ray nuclei, leptons and photons with a high energy resolution ($\sim1\%$ for electrons and photons and $20\%$ for nuclei) and a large geometry factor ($>3\,{ m^2\,sr}$ for electrons and diffuse photons and $>2\,{ m^2\,sr}$ for nuclei). In this work we discuss the capability of HERD to detect monochromatic $\gamma$-ray lines, based on simulations of the detector performance. It is shown that HERD will be one of the most sensitive instruments for monochromatic $\gamma$-ray searches at energies between $\sim10$ to a few hundred GeV. Above hundreds of GeV, Cherenkov telescopes will be more sensitive due to their large effective area. As a specific example, we show that a good portion of the parameter space of a supersymmetric dark matter model can be probed with HERD.Comment: 9 pages, 7 figures, matches version published in Astropart.Phy

Designing Interventions to Enhance Employee Engagement among Administrative Employees at Heilongjiang International University

With the rapid development of economy and increasingly fierce market competition, higher education institutions are also facing the increasingly complex environment. Employee engagement, as one of the important concepts of human resources, has emerged as a critical success factor in today's competitive marketplace. The purpose of this research is to determine the influential factors affecting employee engagement in order to design interventions for enhancing employee engagement. The study was conducted at a higher education institution—Heilongjiang International University (HIU), a private university established in 1993. The administrative employees were chosen as the research targets to answer the questionnaire and participate in the interview. Mixed methods of quantitative and qualitative were used in this research. The multiple linear regression was applied as the analytical tool for investigating the influence of independent variables on dependent variables. Content analysis was used as the tool to analyze the qualitative data to validate the statistical analysis. From the results four out of five hypotheses are supported by the data analysis, which indicate that factors including career growth, coworker support, supervisor support and performance feedback have significant influence on employee engagement. Interventions are designed accordingly to improve employee engagement based on the results. The findings can provide both theoretical and practical value in the field of higher education organization management

Multi-Objective Optimization of an Aerodynamic Feeding System Using Genetic Algorithm

Considering the challenges of short product life cycles and growing variant diversity, cost minimization and manufacturing flexibility increasingly gain importance to maintain a competitive edge in today’s global and dynamic markets. In this context, an aerodynamic part feeding system for high-speed industrial assembly applications has been developed at the Institute of Production Systems and Logistics (IFA), Leibniz Universitaet Hannover. The aerodynamic part feeding system outperforms conventional systems with respect to its process safety, reliability, and operating speed. In this paper, a multi-objective optimisation of the aerodynamic feeding system regarding the orientation rate, the feeding velocity, and the required nozzle pressure is presented