Applying scientific and technological products to the domain of education has gradually become a trend. In the area of art education, using digital tools such as tablets and stylus not only help students freely create...
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The goal of this study was to understand the effect of using an interactive drawing stylus incorporating tangible user interface concepts on color cognition, drawing behaviors, and drawing outcomes among students in t...
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The nonlinear effects of partial erasure and transition shift, however, often limit the performance attained by the partial response maximum likelihood (PRML) detector because of model mismatch. Conventionally, the no...
The nonlinear effects of partial erasure and transition shift, however, often limit the performance attained by the partial response maximum likelihood (PRML) detector because of model mismatch. Conventionally, the nonlinear effects are either ignored or approximated by linearization technique. In the article, a PRML detector for the PR4 model including the nonlinear effects has been developed to improve the detector performance. The new representation is more accurate and the corresponding PRML detector has better performance without increasing the realization complexity. Computer simulation results show that the new representation outperforms the conventional ones due to the enhanced modeling capability. The method is also expected to be applied in the high order partial response channel.
Background:digital health literacy (DHL) enables healthy decisions, improves protective behaviors and adherence to COVID-19 measures, especially during the era of the "infodemic", and enhances psychological ...
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Background:digital health literacy (DHL) enables healthy decisions, improves protective behaviors and adherence to COVID-19 measures, especially during the era of the "infodemic", and enhances psychological well-being.
Objective:We aimed to explore the mediating roles of fear of COVID-19, information satisfaction, and the importance of online information searching on the association between DHL and well-being.
Methods:A cross-sectional web-based survey was conducted among 1631 Taiwanese university students, aged 18 years and above, from June 2021 to March 2022. The collected data include sociodemographic characteristics (sex, age, social status, and financial satisfaction), the importance of online information searching, information satisfaction, fear of COVID-19, DHL, and well-being. A linear regression model was utilized to investigate factors associated with well-being, followed by a pathway analysis to assess the direct and indirect relationship between DHL and well-being.
Results:The scores of DHL and overall well-being were 3.1 ±0.4 and 74.4 ± 19.7, respectively. Social status (B = 2.40, 95% confidence interval (CI) 1.73-3.07, < 0.001), DHL (B 0.29, 95% CI 0.10-0.49, < 0.001), importance of online information searching (B = 0.78, 95% CI 0.38-1.17, < 0.001), and information satisfaction (B = 3.59, 95% CI 2.22-4.94, < 0.001) were positively associated with well-being, whereas higher fear of COVID-19 scores (B = -0.38, 95% CI -0.55-(-0.21), < 0.001) and female (B = -2.99, 95% CI -5.02-0.6, = 0.004) were associated with lower well-being, when compared with lower fear scores and male, respectively. Fear of COVID-19 (B = 0.03, 95% CI 0.016-0.04, < 0.001), importance of online information searching (B = 0.03, 95% CI 0.01-0.05, = 0.005), and information satisfaction (B = 0.05, 95% CI 0.023-0.067, < 0.001) were significantly mediated the relationship between DHL and well-being.
Conclusion:Higher DHL scores show direct and indirect associations with higher well
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