The objective of this study was to examine the impact of utilizing smart algorithms on enhancing the operational performance of sports facilities in the Kingdom of Saudi Arabia. These algorithms, based on principles and concepts of artificial intelligence, aim to achieve functions such as learning, decision-making, data analysis, pattern recognition, planning, and problem-solving. The study aimed to identify the extent to which smart algorithms are utilized in sports facilities, assess the level of operational performance, explore the correlation between the use of smart algorithms and operational performance, and predict the level of operational performance based on the use of smart algorithms. The study employed a descriptive approach, specifically utilizing a survey study method. Participants included chairmen and members of boards of directors, executive directors, sports directors, administrators, specialists, and members of various committees. The study sample was intentionally selected from different categories within the study population. Two questionnaires were used to collect data from 325 participants. The findings revealed a lack of utilization of smart algorithms in sports facilities in the Kingdom of Saudi Arabia, indicating a low level of operational performance. Additionally, a correlation was observed between the use of smart algorithms and operational performance, suggesting that the level of operational performance can be predicted based on the utilization of smart algorithms. The study concludes that the implementation of intelligent algorithms can enhance the operational performance of sports facilities in the Kingdom of Saudi Arabia. It provides valuable insights into the effects of utilizing smart algorithms on improving operational performance.
Soundscape tourism has become one type of tourism, and its trend is emerging in most areas with hilly, forested, and natural landscapes, such as Bantul Indonesia, becoming a mainstay for region development and its community. This article explores four human manufactured soundscape tourism destinations in Bantul, Indonesia, examining the interrelationships between each tourism stakeholder and pinpointed development from a socio-economic perspective. We adopt a cross-case study approach, drawing main sources from government statistics, regulations, social media narratives, and online news. Using the NVivo 12 Plus software, we coded and annotated the research source. Our research revealed that in four case studies, tourism soundscapes emerged as the primary tourist attractions, with other attractions only marginally contributed. Presenting music or acoustic stages enabled tourism industry to reap benefits, particularly for local community and regional income. However, it is important to emphasize sustainability issues, thus, the continuous increased in music soundscape in nature has led to the formation of collaborations among tourism actors, with local communities “Pokdarwis” posed as the principal driving force behind destination development. This study demonstrates that human-manufactured soundscapes have the potential to increase visitor numbers and outperform natural soundscapes in natural destinations.
The objective of the research is twofold. The study examines the role of public finance in promoting sustainable development in SSA. Secondly, the study investigates the optimal level of public finance beyond which public finance crowds out investment and hinders sustainable development in SSA. The study adopts a battery of econometric techniques such as the traditional ordinary least square (OLS) estimation technique, Driscoll-Kraay covariance matrix estimator, and the dynamic panel threshold model. The study found that an increase in public debts lead to a decline in sustainable development. In contrast, the results show that increase in spending on health and education, and tax can engender sustainable development in SSA. Further, we uncover the optimal levels of public spending on health and education, and public debts that engenders sustainable development in SSA. One main implication of the findings is that governments across SSA needs to reduce public debts levels and increase public spending on health and education to within the threshold levels established in this study to aid sustainable development in SSA.
The competencies of public health professionals serve as the cornerstone for curriculum development ensuring that educational programs are pertinent efficient and attuned to the requirements of both the public health workforce and the communities they serve. This study endeavors to investigate the knowledge competency of public health professionals in Thailand with the intention of refining the suitability of knowledge competency for curriculum development tailored to the needs of public health professionals in Thailand. Employing a qualitative study, the study conducted semi-structured interviews with 17 university lecturers in public health programs in Northeastern Thailand. The data collected were transcribed and analyzed using content analysis. The findings elucidate that the lecturers articulated a core knowledge content pertinent to public health professionals in Thailand delineated across five principal themes and thirteen subjects within the public health curriculum. These themes encompassed: 1) Epidemiology and disease prevention (comprising two subjects), 2) Health promotion and community health (comprising four subjects), 3) Research methods in public health and biostatistics (comprising two subjects), 4) Public health administration, health system, and laws (comprising three subjects), and 5) Environmental health and occupational health and safety (comprising two subjects). Subsequently, this study scrutinized five core courses to formulate a model curriculum for public health. The proposed model curriculum is intended for application in both planning and the development of the public health workforce, fostering interdisciplinary learning and nurturing public health professionals rooted in the authentic context of Thailand.
In this paper, beginning we define a fuzzy Parametric measure, with having values of a weight function on n points. Afterwards, we obtain one equation by use from properties of fuzzy measure that with solving equation, we define parameters of fuzzy measure. For solving equation, we design a genetic algorithm and hereby we provide the facility of solving integrals.
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