The goal of Thailand's strategic business strategy is to "aim towards a sustainable and culturally influential creative industry on a global scale" to grow the textile and fashion sectors. By 2021, the intention is to establish Thailand as the center of fashion and textile design for the area, with a focus on "contemporary fashion" by 2031. This research aims to: 1) examine women's fashion during King Rama V's reign from the start to the end; 2) create modern women's special occasion (...) outfits inspired by the King Rama V era's attire; and 3) assess customer satisfaction with the prototype designs of modern women's special occasion outfits inspired by the King Rama V era's attire. Twelve drafts, six prototype outfits, and satisfaction surveys are among the tools employed. The two groups comprising the study sample are: Group 1 consists of five specialists who evaluate the drafts and a target group of 30 individuals who evaluate the drafts. Group 2 consists of 250 general people from Buriram Province who use random sampling to gauge how satisfied they are with the prototype clothes. The frequency distribution and mean were used to analyze the data. The study discovered that, with an average score of 4.32, which indicates a high degree of satisfaction, customers are quite happy with the modern women's special event attire inspired by the King Rama V era. The ensembles are seen to be elegant, contemporary, and appropriate for formal occasions. (shrink)

The COVID-19 pandemic significantly impacted medical education, causing a shift towards online learning. However, this transition posed challenges in administering online assessments, particularly in proctoring and detecting academic misconduct. This study aimed to investigate the prevalence of academic misconduct among medical students during remote online examinations using hierarchical clustering and comparing self-reported confessions and recorded video reviews. The results of the study confirmed the existence of academic misconduct in remote online examinations, as evidenced by both self-report and video footage review. (...) Hierarchical clustering was able to predict academic misconduct with an accuracy rate of approximately 55%. These findings highlight the need for medical educators to develop and implement ethics and morality-focused courses to address the issues of dishonesty among medical students in online assessments. In conclusion, this study shed light on the challenges of remote online assessments in medical education, particularly in detecting academic misconduct. Using a data-driven approach to analyse the prevalence of academic misconduct, this work provided insights into the need for ethical and moral education in medical curricula, which can help address the dishonesty among medical students during online assessments. (shrink)