This inquiry endeavors to meticulously examine the intricate dynamics of the symbiotic developmental interplay among the gaming, tourism, and economic sectors in Macau. Utilizing the methodology of deviation standardization, the data undergoes scrupulous processing, invoking the entropy method to ascertain the weights of diverse evaluative indices. The developmental trajectories of Macau’s gaming, tourism, and economic domains spanning the years 2011 to 2021 are fastidiously gauged. Subsequently, a sophisticated coupled coordination model is employed to delve into the nuanced systemic interdependencies characterizing their developmental relationships. From 2011 to 2021, the holistic progression of Macao’s gaming and tourism sectors has exhibited a discernible ascent over the temporal continuum. Concurrently, the degree of coupling coordination has advanced from a state of near coordination to a commendable level of synchronized development. The overarching system of Macau’s gaming and tourism industries has transitioned from a state of disarray to one of ordered harmony, with the correlative impact of Macau’s tourism sector being adeptly realized. The supporting role played by Macau’s gaming industry in fortifying the tourism sector is conspicuously manifest. The alignment and coordination between Macau’s gaming and tourism sectors exhibit fluctuations across distinct developmental stages. During phases of nascent development in both the gaming and tourism domains, a palpable imbalance prevails. Elements such as the proliferation of gaming enterprises, international tourism revenue, aggregate output value of gaming establishments, market share held by gaming enterprises, and the profit margins thereof have, to a certain extent, impinged upon the harmonized evolution of the tripartite subsystems. This study proffers recommendations to foster the optimization and elevation of the industrial structure while championing the integration and advancement of diverse sectors. It advocates for the amplification of the propulsive impetus intrinsic to the gaming industry, coupled with the enrichment of the tourism product portfolio. Furthermore, it espouses the establishment of an effective mechanism for high-quality development, tailored to the exigencies of the contemporary era. This involves the implementation of precise policies, the facilitation of amalgamated progress in gaming and tourism, and an unwavering commitment to sustainable development through the interconnected alignment of gaming, tourism, and the broader economy. The findings of this study furnish a scientific foundation for the strategic industrial planning and developmental initiatives undertaken by relevant departments in Macau.

This paper examines the relationship between renewable energy (RE) generation, economic factors, infrastructure, and governance quality in ASEAN countries. Based on the Fixed Effects regression model on panel data spanning the years 2002–2021, results demonstrate that domestic capital investment, foreign direct investment, governance effectiveness, and crude oil price exhibit an inverse yet significant relationship with RE generation. An increase in those factors will lead to a decline in RE generation. Meanwhile, economic growth and infrastructure have a positive relationship, which implies that these factors act as stimulants for RE generation in the region. Hence, it is advisable to prioritise policies that foster economic growth, including offering tax breaks specifically for RE projects. Additionally, it’s crucial to streamline governance processes to facilitate infrastructure conducive to RE generation, along with investing in RE infrastructure. This could be achieved by establishing one-stop centres for consolidating permitting processes, which would streamline the often-bureaucratic process. However, given the extensive time period covered, future research should examine the short-term relationship between the variables to address any potential temporal trends between the factors and RE generation.

In this study, the effect of roasting and boiling on the yield and oxidative stability of soya bean oil was investigated. The oil was soxhlet extracted and the oxidative stability was determined by the free fatty acid value, acid value and peroxide value. The results showed that the oil yield, free fatty acid value, acid value and peroxide value were significantly affected by roasting, boiling, and the thermal treatment time. The percentage oil yield in the control oil sample was 18.51%, which increased to 20.24% and 20.73% after boiling and roasting respectively, at 40mins. The corresponding free fatty acid and the peroxide value of the control oil sample were 0.14% and 2.04 meqO₂/kg, which increased to 0.82% and 6.60 meqO₂/kg by roasting, and 0.47% and 5.62 meqO₂/kg by boiling respectively. Thus the oil yield, free fatty acid value, peroxide value, and acid value increased with increasing roasting and boiling time.
The results indicate that roasting provides a higher oil yield than boiling, but boiled oil has higher oxidative stability than roasted oil.

The paper considers an important problem of the successful development of social qualities in an individual using machine learning methods. Social qualities play an important role in forming personal and professional lives, and their development is becoming relevant in modern society. The paper presents an overview of modern research in social psychology and machine learning; besides, it describes the data analysis method to identify factors influencing success in the development of social qualities. By analyzing large amounts of data collected from various sources, the authors of the paper use machine learning algorithms, such as Kohonen maps, decision tree and neural networks, to identify relationships between different variables, including education, environment, personal characteristics, and the development of social skills. Experiments were conducted to analyze the considered datasets, which included the introduction of methods to find dependencies between the input and output parameters. Machine learning introduction to find factors influencing the development of individual social qualities has varying dependence accuracy. The study results could be useful for both practical purposes and further scientific research in social psychology and machine learning. The paper represents an important contribution to understanding the factors that contribute to the successful development of individual social skills and could be useful in the development of programs and interventions in this area. The main objective of the research was to study the functionalities of the machine learning algorithms and various models to predict the students’s success in learning.

The healthcare sector is progressively modest and patients expect higher service quality; therefore, healthcare practitioners’ and academic researchers’ attention upsurges in exploring service quality, intensifying satisfaction and generating behavioral intention. Despite the significance of the healthcare sector and the importance of quality-related matters, there is a paucity of research and publications dealing with healthcare service quality. This conceptual review evaluates the service quality in Pakistani healthcare sector rendering patients’ perspective. The proposed model emphasizes patients’ switching intention caused by poor or inadequate service quality through intervening constructs of satisfaction and alternative attractiveness. Additionally, current review explored the alternative attractiveness as mediator which was neglected in healthcare context. The model also attempts to propose the association between alternative attractiveness and outcome variable by switching costs regarding patients’ perspectives. The conceptual framework enables hospital managers to comprehend how patients assess healthcare quality provided in the presence of alternatives. The perception of patients would assist them in allocating healthcare resources and hospital management attain performance feedback through service quality parameters. Present review developed an inclusive framework as a novel injector in healthcare sector for patients’ perceived service quality.