Public recreation hubs play an important role in enhancing physical activities, social contacts, and the health status of a community. The quality of the experience in such a setting influences user satisfaction and dedication; however, there are limited studies that can adapt well-advanced conceptual frameworks to capture unique characteristics of the public recreation feature. This study investigates user expectations and perceptions of service quality within public recreation hubs in Gauteng Province, South Africa. Data collection was obtained through a cross-section of 385 respondents using a SERVQUAL instrument from 22 recreational hubs. Various statistical analyses were performed, of which the EFA produced a nine-factor solution and not the customary five SERVQUAL dimensions. Important findings include the emergence of an intersection of the constructs of empathy and assurance, thereby suggesting that the dimensions are perceived as connected in the context of relational services. In addition, program quality and community engagement came out as two other important dimensions, representing the expectation for pluralism in provision, or inclusiveness and participation. Demographic differences were significant, gender differences existed in the perception of tangibles and reliability. It provides useful recommendations for managers of recreational hubs and policymakers. It could improve tangible factors with standard maintenance activities, improved infrastructure, and coordinated operational routines that improve its reliability. Targeted training among the staff for empathy and reassurance, and programming targeted to meet demographic needs, can be helpful in serving the various needs. Community building strategies, such as participatory planning and outreach programs, help make the people who feel included in them and loyal to facilities stay. It will not only help in offering better service delivery but also ensure that facilities within such public recreation hubs last long. This work contributes to service quality theory because it applies the SERVQUAL framework in a community-based recreational environment and shows its practical benefit in service delivery improvement of public services. Further work should adopt longitudinal methods and multi-regional analyses in the development and refinement of such findings to enhance generalisability across settings. Results have important implications for the development of user-focused, sustainable public recreation services compatible with changing community needs.

The selection of a suitable place for an activity is an important decision made for a project, which requires assessing it from different points of view. Educational use is one of the most complicated and substantial uses in urban space that requires precise and logical attention to its location and neighborhood with similar and consistent uses. Faculties of universities are educational spaces that should be protected against physical and moral damage to create a healthy educational environment. To do this, it is necessary to find and assess the factors affecting the location of educational spaces. The extant study aimed at finding and assessing the factors affecting the location of educational spaces to locate art and architecture schools or faculties in 4 important universities. The present study is applied developmental research in terms of nature and descriptive-analytical in terms of method. This study used the AHP (Analytical Hierarchy Process) weighing and controlled the prioritization through the TOPSIS (Technique for Order Preference by Similarity) technique in the methodology phase. Since there was no criterion and metric for these centers, six were chosen as the primary metrics after reviewing the relevant theoretical foundations, early investigations, and collecting effective data. Finally, the results indicated the most important factors of vehicular or roadway access, pedestrian access, slope, parking, adjacency, neighborhood, and area. Among the mentioned factors, pedestrian access (w: 0.4231) had the highest weight and was the priority in the location of architecture faculty in studied campuses and areas inside the universities.

The recent development of characteristic towns has encountered a multitude of challenges and chaos. Nevertheless, there have been many instances of information asymmetry due to the absence of an effective management model and an intuitive digital management system. Consequently, this has caused the erosion of public interests and inadequate supervision by public agencies. As society is progressing at a rapid pace, there is a growing apprehension regarding poor management synergy, outdated management practices, and limited use of technology in traditional construction projects. In today's technologically sophisticated society characterized by the “Internet+” and intelligent management, there is an urgent requirement to identify a more efficient collaborative management model, thereby reducing errors caused by information asymmetry. This paper focuses on the integration of building information modeling (BIM) and integrated project delivery (IPD) for collaborative management within characteristic towns in the PPP mode. By analyzing the available literature on the application status, this study investigates the implementation methods and framework construction of collaborative management while exploring the advantages and disadvantages. On this basis, this study highlights the problems that arise and provides recommendations for improvement. Considering this, the application of the BIM-based IPD model to characteristic towns in PPP mode will enhance the effectiveness of collaborative management among all parties involved, thereby fostering an environment that facilitates decision-making and operational management in the promotion of characteristic industries.

The present study focuses on improving Cognitive Radio Networks (CRNs) based on applying machine learning to spectrum sensing in remote learning scenarios. Remote education requires connection dependability and continuity that can be affected by the scarcity of the amount of usable spectrum and suboptimal spectrum usage. The solution for the proposed problem utilizes deep learning approaches, namely CNN and LSTM networks, to enhance the spectrum detection probability (92% detection accuracy) and consequently reduce the number of false alarms (5% false alarm rate) to maximize spectrum utilization efficiency. By developing the cooperative spectrum sensing where many users share their data, the system makes detection more reliable and energy-saving (achieving 92% energy efficiency) which is crucial for sustaining stable connections in educational scenarios. This approach addresses critical challenges in remote education by ensuring scalability across diverse network conditions and maintaining performance on resource-constrained devices like tablets and IoT sensors. Combining CRNs with new technologies like IoT and 5G improves their capabilities and allows these networks to meet the constantly changing loads of distant educational systems. This approach presents another prospect to spectrum management dilemmas in that education delivery needs are met optimally from any STI irrespective of the availability of resources in the locale. The results show that together with machine learning, CRNs can be considered a viable path to improving the networks' performance in the context of remote learning and advancing the future of education in the digital environment. This work also focuses on how machine learning has enabled the enhancement of CRNs for education and provides robust solutions that can meet the increasing needs of online learning.

Amidst China’s burgeoning population and rapid technological strides, this study explores how elderly citizens navigate and embrace electronic governance (e-governance) platforms. Addressing a crucial gap in knowledge, we delve into their limited digital fluency and its impact on e-governance adoption. Our meticulously crafted online survey, distributed via WeChat across significant cities (Beijing, Shanghai, Tianjin, Changsha), yielded 396 responses (384 analyzable). Utilizing Structural Equation Modeling (SEM), we unearthed key influencers of subjective norms, including perceived ease and usefulness, trust, supportive conditions, and past tech exposure. These norms, in turn, positively shape attitudes. Crucially, educational background emerges as a moderator, amplifying the positive link between attitudes and e-governance engagement intent. This underscores the necessity of an inclusive, customized e-governance approach, offering valuable policy insights and advocating for holistic solutions for older adults. Our research yields empirical and theoretical contributions, paving the way for actionable Social Sustainability Marketing Technologies in China, particularly championing digital inclusivity for seniors.

Surrogacy has opened new doors for many people who need children but are infertile or unable to have children. Through modern scientific technology, couples or mothers can find women to ask them to be surrogates using their eggs or sperm. The nature of surrogacy is reproductive support, but the complexity of the surrogacy procedure causes a lot of controversy not only in the field of criminal law but also regarding its implementation in practice. The article uses qualitative analysis to study current commercial surrogacy formulas. The main goal of this study is to clarify the legal aspects of commercial surrogacy in the world and in Vietnam. The article also concludes that Vietnam and other countries need to agree or develop common principles to avoid cross-border surrogacy as well as establish legal tools to prevent surrogacy for sexual purposes trade to protect human rights and prevent child trafficking.