This study examined whether productive coping styles and social support were significant mediators of the relationship between academic stress and suicidal ideation. The survey was performed on a sample of 300 Malaysian and 300 Indian college students. The participants completed psychological assessments of productive coping styles, social support, academic stress, and suicidal ideation. Significant cultural and demographic differences emerged. Indian students reported higher suicidal ideation and academic stress than did Malaysian students, and Malaysian students received more social support and had better problem-solving coping styles than did Indian students. Overall, students who were male, non-religious, and from low-income families reported more academic stress and more suicidal ideation. Productive coping styles and overall social support strongly affected the relationship between academic stress and suicidal ideation among both countries' participants.
In outbreak detection, one of the key issues is the need to deal with the weakness of early outbreak signals because this causes the detection model to have has less capability in terms of robustness when unseen outbreak patterns vary from those in the trained model. As a result, an imbalance between high detection rate and low false alarm rate occurs. To solve this problem, this study proposes a novel outbreak detection model based on danger theory; a bio-inspired method that replicates how the human body fights pathogens. We propose a signal formalization approach based on cumulative sum and a cumulative mature antigen contact value to suit the outbreak characteristic and danger theory. Two outbreak diseases, dengue and SARS, are subjected to a danger theory algorithm; namely the dendritic cell algorithm. To evaluate the model, four measurement metrics are applied: detection rate, specificity, false alarm rate, and accuracy. From the experiment, the proposed model outperforms the other detection approaches and shows a significant improvement for both diseases outbreak detection. The findings reveal that the robustness of the proposed immune model increases when dealing with inconsistent outbreak signals. The model is able to detect new unknown outbreak patterns and can discriminate between outbreak and non-outbreak cases with a consistent high detection rate, high sensitivity, and lower false alarm rate even without a training phase.
The present study examined the predictors of psychological strengths and subjective well-being for dealing with academic stress perceived by university engineering students. Sample of 400 Malaysian (N = 180 boys and N = 220 girls) age varies 18 to 25 years and 400 Indian students (N = 240 boys and N = 160 girls) age varies 18 to 25 years from public universities were participated. Quantitative method was used for data analysis. Findings shows that gender, religiosity and socioeconomic status are significantly influencing psychological strengths and subjective well-being of both Indian and Malaysian students. Findings also revealed that parental involvement and problem solving coping styles were significantly predicting psychological strengths and subjective well-being among both countries participants. Findings of the current study provide the insight for the educators, and parents dealing with adolescents.