This research aims to examine the structural relationships between the dimensions of workation attachment, workationer power, the dimensions of workation relationship quality, and workation intention. It demonstrates that the proposed model aligns well with the collected data based on a convenience sample comprising 494 workationers in Bangkok using structural equation modeling. The analysis outcomes contribute to the tourism marketing theory by providing additional insights into the dimensions of workation attachment, workationer power, the dimensions of workation relationship quality, and workation intention. The findings from this study can aid workation managers in formulating and executing market-oriented service strategies to enhance the dimensions of workation attachment, workationer power, and workation relationship quality and foster workation intention.

This paper analyses wherever top executives were born and wherever they attended university to reveal regional groupings of the executives that form company culture and strategy in China and the mechanisms by which they affect corporate performance. It was found that the personal histories of top executives affect their decision-making orientation, and, in turn, company culture. The personal histories of executives and intra-regional, intra-provincial and intra-city links of corporate headquarters were obvious factors for executive selection. Distances were higher, and percentages of intra-regional links were lower for higher profit and growth companies. This shows that more competitive companies are more likely to hire executives who have lived in different regions or institutions in their lifetimes and university educations. The study concludes that Chinese firms’ key choices are influenced, in part, by external geographic factors way more advanced than the self-operation of individual enterprises.

In this study, the authors propose a method that combines CNN and LSTM networks to recognize facial expressions. To handle illumination changes and preserve edge information in the image, the method uses two different preprocessing techniques. The preprocessed image is then fed into two independent CNN layers for feature extraction. The extracted features are then fused with an LSTM layer to capture the temporal dynamics of facial expressions. To evaluate the method's performance, the authors use the FER2013 dataset, which contains over 35,000 facial images with seven different expressions. To ensure a balanced distribution of the expressions in the training and testing sets, a mixing matrix is generated. The models in FER on the FER2013 dataset with an accuracy of 73.72%. The use of Focal loss, a variant of cross-entropy loss, improves the model's performance, especially in handling class imbalance. Overall, the proposed method demonstrates strong generalization ability and robustness to variations in illumination and facial expressions. It has the potential to be applied in various real-world applications such as emotion recognition in virtual assistants, driver monitoring systems, and mental health diagnosis.

With the rapid development of society, college students are facing the dual pressure of study and employment, which leads to an endless stream of mental health problems, and has become the focus of society, schools and families. Therefore, it is particularly important to do a good job in college students’ mental health education. College counselors are good teachers and good friends of students. They play an important guiding role in college students’ mental health education. They play an important role in improving students’ personality and mental health. This paper analyzes the advantages of college students’ psychological health education, and puts forward the effective participation strategies of college Students’ psychological health education.