Addressing society’s current ethical dilemmas necessitates urgent reinforcement of moral standards. Transforming student behavior necessitates integrating legal and social measures through proactive youth cultivation within educational institutions. This study focuses on a participatory, strategic approach to managing ethics in private vocational colleges in Thailand. The researchers gathered data through structured, in-depth interviews and opinion surveys from a sample group of 400 individuals, which included directors and department heads of these colleges. The research identified two main dimensions and eleven factors essential for moral education management in private vocational colleges. The first dimension encompasses six critical factors: resource management, structural policies, educational services, personnel, financial management, and materials and equipment management. The second dimension includes five key factors: school strategies, administrative policies, teacher roles, student engagement, and community stakeholder involvement. Statistical analysis supports the causal relationship model, revealing a Chi-Square value of 33.492 and a P-value of 0.055. This comprehensive approach aims to foster sustainable moral development and cultivate desirable societal behaviors among students. It contributes to national stability and aligns with educational and vocational development plans, effectively addressing broader socio-economic challenges. The findings underscore the importance of strategic, ethical management in private vocational education institutions as a cornerstone for nurturing a morally responsible student body and supporting national development goals.

This research quantitatively examines how online professional development (OPD) affects cognitive development in special education instructors. 100 individuals took part in outpatient department activities for six months, undergoing cognitive ability examinations before and after the intervention. Descriptive statistics, paired samples t-tests, multiple regression analysis, analysis of covariance (ANCOVA), and Pearson correlation coefficients were used to analyze the data. The findings show a significant rise in post-test scores on the Cognitive Abilities Test (CAT) after taking part in the OPD program. Years of experience and education level were important indicators of cognitive progress, emphasizing the significance of individual traits. Moreover, those with greater expertise and advanced levels of education often had better marks on the post-test. The results highlight the significance of cognitive growth as a crucial result of professional development for special education instructors, adding to the existing knowledge base. The research suggests giving priority to cognitive growth in professional development programs, customizing programs to meet individual requirements, and offering continuous support to educators. Future studies should investigate how OPD impacts cognitive development and analyze its lasting consequences on teacher efficacy and student results.

Attempts were made in the present study to design and develop skeletally modified ether linked tetraglycidyl epoxy resin (TGBAPSB), which is subsequently reinforced with different weight percentages of amine functionalized mullite fiber (F-MF). The F-MF was synthesized by reacting mullite fiber with 3-aminopropyltriethoxysilane (APTES) as coupling agent and the F-MF structure was confirmed by FT-IR. TGBAPSB reinforced with F-MF formulation was cured with 4,4’-diamino diphenyl methane (DDM) to obtain nanocomposite. The surface morphology of TGBAPSB-F-MF epoxy nanocomposites was investigated by XRD, SEM and AFM studies. From the study, it follows that these nanocomposite materials offer enhancement in mechanical, thermal, thermo-mechanical, dielectric properties compared to neat (TGBAPSB) epoxy matrix. Hence we recommend these nanocomposites for a possible use in advanced engineering applications that require both toughness and stiffness.

This study applies machine learning methods such as Decision Tree (CART) and Random Forest to classify drought intensity based on meteorological data. The goal of the study was to evaluate the effectiveness of these methods for drought classification and their use in water resource management and agriculture. The methodology involved using two machine learning models that analyzed temperature and humidity indicators, as well as wind speed indicators. The models were trained and tested on real meteorological data to assess their accuracy and identify key factors affecting predictions. Results showed that the Random Forest model achieved the highest accuracy of 94.4% when analyzing temperature and humidity indicators, while the Decision Tree (CART) achieved an accuracy of 93.2%. When analyzing wind speed indicators, the models’ accuracies were 91.3% and 93.0%, respectively. Feature importance revealed that atmospheric pressure, temperature at 2 m, and wind speed are key factors influencing drought intensity. One of the study’s limitations was the insufficient amount of data for high drought levels (classes 4 and 5), indicating the need for further data collection. The innovation of this study lies in the integration of various meteorological parameters to build drought classification models, achieving high prediction accuracy. Unlike previous studies, our approach demonstrates that using a wide range of meteorological data can significantly improve drought classification accuracy. Significant findings include the necessity to expand the dataset and integrate additional climatic parameters to improve models and enhance their reliability.

The sustainability of the creative industry through creative-based tourism in the Laweyan Tourism Village requires the support of a sustainable and inclusive development model for local communities. This research aims to present the design of a tourist village development model that applies the eco-cultural city concept as a Surakarta City Perspective through creative-based tourism towards creative industries. This research uses a qualitative approach with a descriptive exploratory method. Data collection techniques use interviews with key informants. Empirical observation using cultural mapping as identification of physical mapping of spatial layout, build ings and environment, as well as cultural landscapes for tangible and intangible cultural assets of the community in the local landscape in the Laweyan tourist village. Content analysis is applied as a research data analysis method. The research results provide an overview of the design of the creative-based tourism village development model towards a sustainable creative industry including aspects attraction, accessibility, amenities, and ancillary, and green tourism. Model design requires commitment and participation from the government and private sector in collaborating with sustainable tourist village development forums.

This study aims to explore the connotation of “Guanxi” within contemporary Chinese marketing channels and to construct and verify a global management model. The objective is to examine how instrumental and emotional dimensions of Guanxi influence enterprise operations and management processes. A hybrid research methodology combining qualitative and quantitative approaches was employed. In-depth interviews with 30 dealer executives provided qualitative insights, while a large-scale survey with 305 valid responses facilitated quantitative analysis. SPSS22.0 and LISREL8.8 were utilized for data analysis, including reliability, validity, hypothesis testing, and structural equation modeling (SEM). The findings reveal that Guanxi is multi-dimensional, comprising both instrumental and emotional components. Instrumental Guanxi includes factors such as status, prestige, credibility, and decision-making power, while emotional Guanxi encompasses trust, emotional connection, and mutual respect. Both dimensions significantly affect professionalism, shared values, contact frequency, and popularity within marketing channels. Hypothesis testing confirmed the significant relationships between these variables, except for the non-significant impact of popularity on instrumental Guanxi. The mediating effects of flexibility and supervision on the relationship between Guanxi and corporate performance were also significant, highlighting the mechanisms through which Guanxi influences organizational outcomes. Moderating effects of perceived internal incentive fairness and digital collaboration capabilities further amplify these relationships. Finaly, the study underscores the dual importance of strategic utility and emotional resonance in Guanxi, providing a robust model for understanding its impact on business management. These insights are valuable for both researchers and practitioners aiming to leverage Guanxi in enhancing organizational performance and relational strategies.