Liujian Gu¹, Tao Wang¹, Chuanyi Wang^1,*, M. James C. Crabbe², Xiao-Guang Yue³

International Journal of Mental Health Promotion, Vol.25, No.8, pp. 903-914, 2023, DOI:10.32604/ijmhp.2023.028157

Abstract Background: Researchers have a higher risk of anxiety and depression than the general population, so it is important to promote researchers’ mental health. Method: Based on the data from 3210 global researchers surveyed by the journal Nature in 2021, confirmatory factor analysis, OLS regression and other regressions were used to explore the research incentive dimensions and their effects on researchers’ mental health. Results: (1) Material incentive factors, work-family life balance factors, good organizational environment and spiritual motivation had significant positive effects on researchers’ mental health. (2) The spiritual motivation could better promote researchers’ mental health than the other factors. (3)… More >

Syeda Javeria Shoukat¹, Humaira Afzal², Muhammad Rafiq Mufti³, Muhammad Khalid Sohail⁴, Dost Muhammad Khan⁵, Nadeem Akhtar⁵, Shahid Hussain^6,*, Mansoor Ahmed¹

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1835-1847, 2021, DOI:10.32604/cmc.2021.014397

Abstract Context: Since the end of 2019, the COVID-19 pandemic had a worst impact on world’s economy, healthcare, and education. There are several aspects where the impact of COVID-19 could be visualized. Among these, one aspect is the productivity of researcher, which plays a significant role in the success of an organization. Problem: There are several factors that could be aligned with the researcher’s productivity of each domain and whose analysis through researcher’s feedback could be beneficial for decision makers in terms of their decision making and implementation of mitigation plans for the success of an organization. Method: We perform an… More >

H. Kawai¹

CMES-Computer Modeling in Engineering & Sciences, Vol.11, No.3, pp. 111-120, 2006, DOI:10.3970/cmes.2006.011.111

Abstract ADVENTURE AutoGL (pronounced as ‘Ote- ga-lu’) is a graphics and GUI library, dedicated for simulation-based research and development. It is designed for the simulation users to develop their own data viewers and editors. Currently, the library is used among many researchers and simulation users, mainly in universities and national research centers. Its functionalities and supported platforms are explained. AutoGL applications of various kinds of simulation methods are demonstrated also. More >