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.

Under the interactive influence of multiple factors, there are significant differences in the support of citizens for Hangzhou's Song rhyme culture. Therefore, in this section, we will consider factors such as repetition and similarity in nature, and investigate the correlation between age and the support of Song rhyme culture.

"Kappa", as a late work of Ryunosuke Wasagawa, contains the strong feelings of Ryusuke Wasagawa's criticism of society, Sukekawa depicts a bizarre and fantasy Kappa country world, using the art of mapping, showing the darkness of Japanese society and the ugly side of society, this article analyzes the world-weary thoughts contained in the story through the storyline in the novel "Kappa" and the main characters in the story.

This study aimed to evaluate the impact of investors on the development of health and hospitality tourism in Kosovo. The study involved 50 investors from various hotel and healthcare companies. The guerrilla method was used for the methodology of this study. In this study, a semi-standardized instrument was used which measures the impact of investors in the development of health and hospitality tourism. The findings of this study have shown that there is a significant correlation between the investments made by investors and the development of health and hospitality tourism in Kosovo. Also, from the findings of the study, we understand that the male gender achieves a higher average of investments than the female gender in health and hotel tourism in Kosovo than the female gender. Finally, the findings of this study and the practical significance of these findings are discussed and recommendations are given regarding the findings of the study.

ESG (environmental, social and governance, a framework used to assess an organisation’s business practices and performance on various sustainability and ethical issues) and Digital Transformation (the process of using digital technologies to change a business’s operations, products and services by integrating digital solutions into all areas of the business, which can lead to cultural and technological changes) are emerging issues across different industries, including the banking field. There has been limited research focusing on exploring the linkages between ESG, Digital Transformation and Customer Behaviour in the banking area, especially within developing countries such as Vietnam. Based on this gap, this study analyses and assesses the role of Digital Transformation and ESG on customer behaviour towards brands in the banking sector in Ho Chi Minh City. The research employed the quantitative research methods with the combination of fundamental analytical methods such as statistics, Cronbach’s alpha reliability, Exploratory Factor Analysis (EFA), measurement models and Partial Least Squares Structural Equation Modelling (PLS-SEM). The analysis was based on survey data from 550 customers who are the commercial banks’ current customers and live in Ho Chi Minh City, yielding 514 valid responses. Using SPSS and SMART PLS software, the study provided notable results. Specifically: (1) The component factors of ESG, including Environmental Issues (EN), Social Issues (SO), Government Issues (GO) and Digital Transformation (DT), positively influence Customer Behaviour (CB); (2) The component factors of ESG, including Environmental Issues (EN), Social Issues (SO) and Government Issues (GO), play a mediating role in the relationship between Digital Transformation (DT) and Customer Behaviour (CB).

In the rapidly evolving landscape of contemporary business, the strategic alignment of employees with their designated roles is a pivotal determinant of organizational success. Employee misfit, characterized by a misalignment between employees’ skills, interests, and assigned roles, poses formidable challenges to individual and collective performance. This comprehensive research report delves into the intricate implications of employee misfit, explores evolving trends in career consciousness among job seekers, outlines the multifaceted challenges HR managers face, and fervently advocates for implementing a comprehensive selection process to address this prevalent issue effectively. The report underscores the proactive role of management in cultivating a supportive work environment, fostering diverse career pathways, and embedding an inclusive selection framework to confront and mitigate the persistent issue of employee misfit.