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Many Malaysian adolescents are experiencing stress due to high self-expectations in achieving academic grades. As a result, many adolescents are experiencing suicidal ideation; therefore, it is imperative to find important protective factors to minimize the chances of such adolescents committing suicide. This study aimed to assess whether or not there is a relationship between positive mental health, academic stress and suicidal ideation among Malaysian adolescents residing in Johor Bahru. This study also explored whether or not positive mental health serves to mitigate the relationship between academic stress and suicide suicidal ideation. The participants were a 210 Malaysian adolescents residing in Johor Bahru, aged 15-20 years. The participants Mala completed the Assessing Academic Stress, Positive Mental Health Questionnaire and Suicide Behavior Questionnaire. Data were analysed using correlation, regression, and PLS-SEM. The findings revealed that academic stress does cause suicidal ideation in Malaysian adolescents. The results of the correlation analysis showed that there is a negative association between positive mental health with academic stress and suicide ideation. Furthermore, this study found that positive mental health does serve as a significant mediator between academic stress and suicidal ideation. Academic stress leads to suicidal ideation, but positive mental health could be significant protective factor. Therefore, there is a need for parents, teachers and peers to promote positive mental health at home and in school, which is essential in curbing academic stress and suicidal ideation., Author(s): Aqeel Khan [sup.1] , Sriyanto Sriyanto [sup.2] , Diana Lea Baranovich [sup.3] , Lokman Mohd Tahir [sup.1] , Siti Aisyah Panatik [sup.1] , Sasmoko Sasmoko [sup.4] , Yasinta Indrianti [...]

Although there are numerous mobile learning studies, limited efforts have been devoted to investigating the moderating role of mobile technology anxiety on mobile learning outcome. Accordingly, the primary purpose of this study is not only to examine the key elements that could influence desire to take mobile learning and mobile learning continuance intention, but also to explore the moderating impact of mobile technology anxiety on mobile learning outcome. 676 college students participated in this study, and the partial least squares structural equation modeling (PLS-SEM) analysis was performed to analyze the data. The study findings have demonstrated that desire to take mobile learning, attitude toward mobile learning, and perceived usefulness are positively linked to mobile learning continuance intention. Second, it has been found that attitude, positive anticipated emotion, negative anticipated emotion, and subjective norm play a key role in determining better desire to take mobile learning, whereas perceived behavioral control has no impact on desire to take mobile learning. Additionally, it has been shown that perceived usefulness, and personal learning initiative are two critical antecedents of attitude toward mobile learning. Finally, the study findings have shown that mobile technology anxiety would moderate the relationship between attitude toward mobile learning and mobile learning continuance intention.

Few prior studies have examined the social and environmental consequences of waste generation and recycling, resulting in a policy gap in the sustainability agenda. The research filled a knowledge vacuum in the literature by investigating the environmental repercussions of different waste generation and recycling processes in the Chinese economy. The study analyzed waste production and recycling statistics over the last 46 years, from 1975 to 2020, and their impact on the nation's emissions per capita. This study used four primary approaches to determine the links between the examined variables, beginning with the unit root test, which identifies the stationary process of the variables' underlying processes. Second, the autoregressive distributed lag (ARDL) model was used to produce the variables' short- and long-run estimates. Third, estimations of Granger causality examined the causal relationships between the variables. Finally, innovation accounting matrices (IAM)were utilized to predict the relationships between variables during the following decade. The unit root estimates imply the mix order of variable integration; hence, it is appropriate to employ ARDL modeling for parameter estimations. The ARDL estimations demonstrate that combustible renewables and waste decrease a nation's carbon emissions by boosting industrial waste recycling. Despite recycling systems, carbon emissions have escalated to uncontrolled levels owing to the massive production of municipal solid garbage. Sustainable waste management and recycling are vital to reducing carbon emissions. Granger's estimations of causation imply that combustible renewables and waste and carbon emissions cause industrial and municipal solid waste recycling. Additionally, population growth is responsible for greenhouse gas emissions, biowaste recycling, and industrial waste recycling. Furthermore, this shows the two-way connections between combustible renewables and waste and carbon emissions, implying the need to develop green waste recycling strategies in a nation. The IAM method identified future relationships between variables, which aids policymakers in implementing sustainable waste management practices for a nation. This study concludes that the environmental consequences of waste generation and recycling impede the nation's circular economy agenda, which can be sustained by knowledge spillovers, chemical reduction in manufacturing, and allocating a certain amount of US dollars to ecological resource conservation. [ABSTRACT FROM AUTHOR]