Organizations are recognizing the potential of workforce diversity as a source of innovation more and more but empirical evidence on this connection is torn. This paper is an analysis of the role of demographic, cognitive, and experiential diversity in determining the outcome of innovations, and the role of the climate of inclusion in affecting the same. The study is a quantitative study that relies on a complete use of secondary data to draw the conclusions as a result of the theories of management of performance within a team and the sociological approach to identity and group interaction. They have collected data based on the publicly available annual reports, sustainability reports, and human-resources disclosures of ten medium and large companies operating in the technology, manufacturing, and service sectors. Diversity ratios, education diversity index, experiential diversity, inclusion rating, patents, research and development expenditures, number of new products were obtained. The relationships were analysed using descriptive statistics, correlations and simple regression equations. Findings show that there are positive relationships between cognitive and experiential diversity and innovation indicators but demographic diversity has a positive relationship with innovation only when accompanied with high inclusion scores. These results support the claim that diversity is not enough and should be followed by an inclusive climate that allows sharing the knowledge and participating in the activities equally. The research adds a fairly easy yet significant piece of evidence to the workforce diversity research, as it allows managers and researchers to gain insights into the use of diversity at work in order to be innovative.

This study evaluated the youth football development program at Seyegan United Football School in Sleman, Indonesia, using the Context, Input, Process, and Product (CIPP) evaluation model. It addresses the limited evaluation of youth football development programs at the local football school level, particularly within the Indonesian context. An evaluative qualitative design with a descriptive-inductive approach was employed, involving 15 participants: three administrators, three coaches, and nine athletes. Data collection methods included observation, semi-structured interviews, and documentation, with analysis conducted using the interactive model of Miles and Huberman. The findings indicate that the context and input components were sufficient, the process component was good, and the product component was very good. These results demonstrate that the program has established a clear organizational foundation, sufficient human resources and facilities, structured training implementation, and positive competitive outcomes. Nevertheless, the program continues to face challenges related to funding limitations, administrative capacity, stakeholder support, athlete discipline, and achieving long-term performance targets. In conclusion, the program has shown positive progress; however, its sustainability will require stronger institutional support, broader collaboration, and more systematic monitoring and evaluation.

This article examines the dialectical tension between medical clinical autonomy and hospital corporate governance in Indonesia. By analyzing the paradigm shift brought by Health Law No. 17 of 2023 and Government Regulation No. 28 of 2024, this study redefines clinical autonomy not as a private privilege, but as a public legal mandate designed to protect patient safety. The research employs a normative legal method to dissect the implementation of Corporate Clinical Governance (CCG) and its collision with corporate efficiency models (managed care). The findings reveal that CCG inherently requires organizational subordination, fundamentally invalidating the “pure partnership” illusion often utilized by hospitals to externalize liability. The study proposes the concept of “Bifurcation of Authority,” which functionally separates a doctor’s clinical-professional sovereignty from the hospital’s administrative-managerial authority. This bifurcation necessitates a shift from personal liability to enterprise liability, ensuring that legal protection and clinical immunity align with fair labor practices under a permanent employment contract (PKWTT).

The incorporation of empirical data from 2021 to 2025 underscores climate change as a primary determinant of urban health in West Africa, with Nigeria bearing the greatest impact. The study found that increased disease severity was the major factor. The data in the review illustrate an unhealthy climate that drives up illness rates. The numbers presented indicate that the annual heat-wave exposure per person increased from 28 days in 2021 to 33.2 days in 2024, with a concurrent 8.6% increase in heat-related mortality. Lagos is the city that experiences the most rapid urban heat, with the earth’s surface temperature rising by 4.5°C from 2000 to 2022. Major flood events typically trigger outbreaks; the 2024 disaster displaced 1.3 million people and resulted in 7,485 cholera cases (Case Fatality Rate 4.3%), with a 63% increase in acute watery diarrhea. Social vulnerabilities largely shape health outcomes, so those effects hit harder in poor and informal areas with little or no infrastructure to mitigate risks. Among other risk factors in these locations, indoor temperatures can reach 35–40°C during heat waves, which is followed by a hospitalization spike of 15–25% at the time, and post-flood malaria cases can increase by 125%. The convergence of climate hazards with poverty, fragile health systems, and spontaneous urbanization exacerbates health crises in a compounded manner. Heat-health action plans, resilient urban planning enforcement, and the WASH infrastructure investment to safeguard the fast-growing urban population are among the core measures that need to be taken.

Artificial Intelligence (AI) and sports analytics are game-changers in the world of sports, offering the potential to make data-driven decisions and optimize performance, prevent injuries, and tailor training strategies to individual athletes. In this study, we will explore how AI and sports analytics can be used to improve the performance and training effectiveness of athletes. The research design used was quantitative, descriptive and explanatory with the primary data obtained from 220 athletes of Telangana with different sports disciplines and competitive level by using a structured questionnaire. The instrument consisted of eight statements on a 5-point Likert scale which assesses athletes' perceptions of AI and sports analytics as well as demographic variables. Analysis of data collected was carried out using descriptive statistics, One-Sample t-test and Simple Linear Regression Analysis using SPSS Version 29.0. The results showed that most respondents had positive attitudes towards the use of AI and sports analytics to optimize sports performance, identify strengths and weaknesses, aid in decision making, minimize injury risk, and promote overall athlete development. The results from the One-Sample t-test showed that overall, athletes' perception of the role of AI and sports analytics compared to the neutral point was significantly higher with a t value of 23.62 and a p value of <0.001, indicating the positive impact of these technologies in enhancing sports performance. Moreover, regression analysis showed that, the use of AI was significantly associated with training effectiveness (β = 0.782, R² = 0.611, p < 0.001), accounting for 61.1% of the variance in training effectiveness. Overall, the study demonstrates that Artificial Intelligence and sports analytics are powerful tools in modern sports that can be used to great effect to benefit athletes, coaches, and sports organizations. Results give some real-world considerations for the promotion of AI-powered training systems and data-informed coaching practices to boost athlete performance and sports development outcomes.

This study examined the physicochemical characteristics of water from the Tshopo River before it entered the REGIDESO SA/Kisangani treatment plant in the Democratic Republic of Congo during the year 2024. Sixty samples were collected and analyzed, with five samples taken each month at five- to seven-day intervals. Temperature (in situ), pH, turbidity, color, conductivity, oxidizable matter content, total alkalimetric titration, total hardness, free chlorine, nitrite ion content, and chloride ion content were evaluated. The following annual average values were obtained from these physicochemical analyses: temperature 26.97 ± 0.78°C; pH 6.5 ± 0.34; total alkalimetric titration 0,0± 0,0; turbidity 2.42 ± 0.30 NTU. colour 8.4±0.30PtCo; conductivity 32.65±3.96µS/Cm; oxidizable matter content 1.75, ±0.26mg/L, alkalimetric titer 0.33±0.12°F, total hardness 0.07±2.03°F, free chlorine 1.13±0.38 mg/L, nitrite ion content 0.02±0.01mg/L and chloride ion content 3.78±0.43mg/L. These water quality parameters showed highly significant differences between the four rainfall seasons of 2024, except for pH, simple alkali-sensitivity, oxidizable solids content, total hardness, nitrite ion content, and chloride ion content (respective p-values of 0.216, 0.441, 0.925, 0.598, and 0.483). This work contributed to highlighting the impact of treatment by REGIDESO SA/Kisangani on the physicochemical quality of the Tshopo River water at the REGIDESO SA/Kisangani plant. It would be important to replicate this study over three years to assess the plant's performance.

Digital Smile Design [DSD] has transformed esthetic dentistry by integrating digital technology, facial analysis, and restorative planning to improve treatment predictability and patient satisfaction. Conventional smile design techniques often lacked precision, reproducibility, and effective communication. The development of DSD has addressed these limitations through the use of digital photography, intraoral scanning, CAD-CAM systems, virtual simulations, and artificial intelligence. This review discusses the evolution, principles, technological foundations, clinical workflow, applications, advantages, limitations, and future perspectives of DSD. The technology has enhanced interdisciplinary treatment planning in esthetic rehabilitation, orthodontics, implant dentistry, and full-mouth reconstruction while improving patient communication and diagnostic accuracy. Emerging technologies such as artificial intelligence, augmented reality, and cloud-based workflows are expected to further expand its role in personalized dentistry. Despite its advantages, challenges including high costs, technical complexity, and the need for long-term clinical validation remain. Overall, DSD represents a significant advancement toward a more precise, patient-centered, and digitally driven approach in modern esthetic dentistry.