The combination of polybutylene terephthalate (PBT) and polyamide 6 (PA6) plastic mixture was taken from waste from the table production process along with carbon black (CB) reinforcement with the desire to create a potential plastic mixture widely used in many fields. The PBT/PA6/CB mix is created by injection molding with a CB weight ratio of 0%, 4%, 8%, and 12%. This study has shown the change in plastic’s mechanical properties when adding CB to the mixture by testing the unnotched impact toughness according to ASTM D256 standards. Research results show that the unnotched impact toughness was gradually reduced when increasing the CB content in the mixture from 0% to 12% CB. Specifically, at 0% CB, the resulting unnotched impact toughness was 12.85 kJ/m², reduced to 4.78 kJ/m².

This study conducted a systematic literature review on current and emerging trends in the use of artificial intelligence (AI) for community surveillance, using the PRISMA methodology and the paifal.ai tool for the selection and analysis of relevant sources. Five main thematic areas were identified: AI technologies, specific applications, societal impact, regulations and public policy. Our findings revealed exponential growth in the development and implementation of AI technologies, with applications ranging from public safety to environmental monitoring. However, this advancement poses significant challenges related to privacy, ethics and governance, driving a debate on the need for appropriate regulations. The analysis also highlighted the disparity in the adoption of these technologies among different communities, suggesting a need for inclusive policies to ensure equitable benefits. This study contributes to the understanding of the current scenario of AI in community policing, providing a solid foundation for future research and developments in the field.

The issue of academic achievement among Chinese university students is emerging due to difficulties in finding employment. This study investigates the structural relationships between social support, goal orientation, and academic achievement with the aim of enhancing students’ academic performance and facilitating sustained employability. Data were collected from 202 college students in South China, revealing that students’ levels of social support, goal orientation, and academic achievement were all moderate. Lower-grade students, in comparison to higher-grade students, exhibited lower levels of social support, goal orientation, and academic achievement. Additionally, students from lower economic backgrounds tended to lack social support. Among the factors of social support, goal orientation, and academic achievement, there were positive correlations among these three variables. Social support significantly and positively influenced goal orientation and academic achievement. Specifically, the sub-factors of social support, school support, and teacher support had differential effects, with school support enhancing academic achievement and teacher support boosting goal orientation. Goal orientation also significantly and positively impacted students’ academic achievement, with the sub-factor of mastery goals having a stronger influence. Goal orientation partially mediated the relationship between social support and academic achievement. This study discusses limitations and provides insights for future research.