The current exploration investigates the degree to which various leadership approaches influence staff motivation in UAE government hospitals, presenting the study of the problem as an example of organizational behavior, leadership, and performance. The UAE healthcare setting is illustrated by complexity and multidimensionality (meaning that many different factors influence it). However, strong leadership is central to both maintaining employee engagement and allowing the delivery of high-quality patient care (Demetris Vrontis, 2022). To assess these effects, the study design was a mixed methods approach, which encompassed both the quantitative measurement of the impact on a sample of 150 healthcare professionals and a qualitative interview of ten hospital managers working in different institutions of the UAE government. In the study, employee motivation through three leadership styles, transformational, transactional, and laissez-faire styles, was evaluated. Findings were that transformational leadership, as constituted by vision, inspiration, and individualized consideration, played a significant positive role in staff motivation and job satisfaction. Transactional leadership, which focuses on organized activity and the use of externally conditioned rewards, indicated a small effect, whereas laissez-faire leadership, in which there is minimal supervision and independence, indicated poor motivation and disconnection. In sum, these results show the significance of leadership development programs that focus more on transformational leadership qualities in building a more enthusiastic and efficient workforce. Practically, the healthcare administrators and policymakers are expected to start developing training skills to fit in the UAE healthcare setting. The paper contributes to the existing body of literature because it provides the practical implications of the leadership styles on employee morale and organizational performance.

Extant literature on project resource management emphasizes the value of technology in improving planning and execution, but it also highlights the limi-tations of traditional workforce management systems. However, many existing systems lack the intelligence and automation capabilities necessary to adapt in real-time to the fluid conditions of fieldwork in utility services. As a result, this study aimed at: evaluating the effectiveness of AI-powered monitoring systems in improving resource planning and allocation; and investigating the impact of real-time AI tracking tools on operational efficiency in utility service manage-ment. The paper employed descriptive approach by conducting digital survey targeting project managers and utility service managers in United Arabs Emir-ates (UAE). The study collected 217 responses. The findings revealed that AI-powered monitoring systems markedly improve the accuracy of resource planning and allocation, driven by their advanced predictive analytics, real-time responsiveness, and adaptability across operational contexts. Similarly, AI-enabled real-time tracking systems have shown significant impact on opera-tional efficiency, particularly in facility management services. Consequently, the study concluded AI-based manpower verification tools hold significant trans-formative potential that can enhancing project resource management within utility services.

With an eye toward the unique challenges encountered by high-demand emergency departments (EDs) in the United Arab Emirates (UAE), the project tries to explore and evaluate ways to improve patient flow control in Eds. The objectives are to identify practical strategies for reducing crowding, enhancing operational efficiency, and raising patient happiness.

This paper examines the influence of social support networks on the management of chronic diseases, with a focus on their role in improving patient outcomes and adherence to treatment plans. Using a systematic review guided by the PRISMA methodology, peer-reviewed studies from 2013 to 2024 were analysed to identify how emotional, informational, and practical support affect disease management. Findings indicate that strong support networks—comprising family, friends, community groups, and healthcare providers—significantly enhance medication adherence, self-care behaviours, and quality of life. Conversely, the absence of adequate support correlates with higher rates of treatment non-compliance and poorer health outcomes. The analysis highlights the importance of culturally tailored interventions, especially in contexts where social norms influence care-seeking behaviour. The paper concludes that integrating structured social support strategies into chronic disease management programs can reduce healthcare costs, improve patient satisfaction, and contribute to long-term disease control. These results provide actionable insights for policymakers, healthcare organizations, and public health practitioners aiming to design patient-cantered care models that leverage social networks for better chronic disease outcomes.

Obesity is a burden being a public health challenge, especially in the Middle East, among working adults due to sedentary lifestyles as well as workplace stress linking it to the increasing rates of obesity. Obesity prevalence in the Middle East increased to 23% between 2014 and 2020. This paper shows the influence of obesity in the region in relation to the role of the environment of the workplace and the needed interventions for the employers. The findings highlight the need for workplace wellness programs as well as a strategic intervention to decrease obesity and enhance productivity.

El trabajo presente se ha realizado con la finalidad de evaluar los riesgos laborales en la empresa Cementos del Norte S.A ubicada en Choloma, Cortés Honduras, para la generación de una propuesta de prevención, no obstante, se ha visto que, en este tipo de compañías, los problemas que se generan por riesgos son frecuentes. Este estudio fue realizado por medio de una metodología con enfoque de intervención profesionalizador, de manera que la información que fue recolectada es descriptiva. Seguidamente, la población tomada en cuenta para este estudio se encontraba compuesta de 100 operarios de la empresa estudiada. En los resultados se ha encontrado que la empresa muestra controlar los riesgos que se han presentado, sin embargo, estos deben ser reforzados mediante el monitoreo y así minimizar el impacto que generen a futuro. Se ha llegado a la conclusión que el riesgo del ruido se ha estimado como importante, debido a que el lugar debe ser evaluado y preparado para el desarrollo de los trabajos correspondientes al área en la que se localice.

The COVID-19 pandemic caused widespread disruptions across health, education, and social systems, significantly affecting early childhood development. This literature review investigates how the pandemic impacted speech and cognitive development among children aged 0–10, with a specific focus on the United Arab Emirates (UAE) and Gulf Cooperation Council (GCC) countries. The study aims to identify key developmental challenges, explore pandemic-related risk factors, review the effectiveness of regional and international policy responses, and provide evidence-based recommendations for post-pandemic recovery. A comprehensive literature review methodology was employed, synthesizing peer-reviewed articles, government reports, and institutional data from 2019 to 2024. Sources were drawn from fields such as developmental psychology, speech-language pathology, public health, and education. Thematic analysis was used to categorize findings into core themes, including service disruptions, socioeconomic disparities, and parental stress. Findings indicate a notable increase in speech and cognitive delays among children in the UAE and GCC, driven by school closures, reduced social interaction, limited access to therapy services, and elevated parental stress , results were identified the challenges of speech and cognitive development, risk factors contributing to developmental disruptions, and public policy response to limited the effect of covid -19 on children developments. Service gaps were especially pronounced in rural or low-income areas, emphasizing the urgent need for systematic intervention to support early childhood development. Comparative global data revealed that countries with strong digital infrastructure and proactive policies experienced fewer long-term developmental impacts. The paper concludes that urgent, cross-sectoral action is needed to mitigate the developmental consequences of the pandemic. Key recommendations include implementing universal developmental screening, expanding telehealth and hybrid early intervention services, strengthening cross-ministerial coordination, increasing parental education, and building a robust regional research infrastructure. By aligning future strategies with global best practices and local sociocultural contexts, GCC countries can better support the developmental needs of young children in times of crisis and beyond.

Trabajo investigativo para afianzar el aprendizaje de manera innovadora en los estudiantes, facilitando una propuesta de jugos tecnológicos para la enseñanza de la lectura y la escritura de manera creativa para innovar la práctica pedagógica en la Unidad Educativa Estadal Segundo Berroteran Monzón del Municipio Brion Parroquia Curiepe Estado Bolivariano de Miranda de la República Bolivariana de Venezuela, atendiendo mediante esta perspectiva desde el enfoque cuantitativo. Dentro de este marco, se aplica la investigación y estudio del problema, mediante la recolección de datos para probar hipótesis, la medición numérica y el análisis estadístico, asimismo determinar variables, recolectar evidencias mediante un cuestionario con el fin de mostrar la realidad existente, ya que, la mayoría de los niños y niñas presentan debilidades en el proceso de la enseñanza de la lectura y la escritura, de allí, se plantea realizar un plan estratégico de proponer estrategias de juegos tecnológicos para la enseñanza de la lectura y la escritura para lograr incentivar y motivar a los docentes de dicha institución, de esta manera potenciar el aprendizaje a los estudiantes con diferentes estrategias de juegos tecnológicos, para mejorar las competencias de lecturas, escrituras y la comprensión lectora, además de ampliar su vocabulario, alcanzar metas sin proponérselo superando así las debilidades planteadas.

تناولت هذه الدراسة الممارسات التربوية القائمة على نظرية الذكاءات المتعددة وعلاقتها بتحسين نواتج تعلم اللغة العربية لدى الطلبة الموهوبين في الصف العاشر بدولة الإمارات العربية المتحدة. وانطلقت الدراسة من ثلاثة أسئلة رئيسة تمثلت في: قياس درجة معرفة المعلمين بنظرية الذكاءات المتعددة، وتحديد مستوى نواتج تعلم اللغة العربية لدى الطلبة الموهوبين، والكشف عن طبيعة العلاقة الارتباطية بين الممارسات التربوية القائمة على النظرية ونواتج تعلم هؤلاء الطلبة. اعتمدت الدراسة المنهج الوصفي التحليلي، حيث تم توزيع استبانة إلكترونية على عينة مكونة من (47) معلمًا ومعلمة للغة العربية في المدارس الحكومية بإمارة دبي. وتضمنت أداة الدراسة أربعة محاور رئيسة هي: معرفة المعلمين بالنظرية، وتطبيق استراتيجياتها، والتحديات التي تواجههم، والمقترحات التطويرية. وأظهرت النتائج أن درجة معرفة المعلمين بنظرية الذكاءات المتعددة تراوحت بين المتوسطة والمرتفعة، بمتوسط حسابي بلغ (3.76) بدرجة تقدير عالية نسبيًا. بينما جاء تطبيقهم الفعلي للاستراتيجيات الصفية القائمة على النظرية بدرجة متوسطة، بمتوسط حسابي بلغ (3.25)، حيث تركزت الممارسات بشكل أكبر على الذكاءين اللغوي والمنطقي، في حين كان توظيف بقية الذكاءات محدودًا. كما كشفت النتائج عن تحديات متعددة واجهت المعلمين، من أبرزها: ضيق الوقت، كثافة المحتوى، ضعف التدريب التخصصي، ونقص المواد التعليمية المصممة وفق النظرية. وبيّنت نتائج اختبار بيرسون وجود علاقة ارتباطية موجبة ذات دلالة إحصائية بين درجة توظيف الممارسات التربوية القائمة على نظرية الذكاءات المتعددة ونواتج تعلم اللغة العربية لدى الطلبة الموهوبين، مما يعكس أثر هذه الممارسات في تحسين تعلمهم وتطوير قدراتهم اللغوية والمعرفية. وفي ضوء هذه النتائج، أوصت الدراسة بضرورة تطوير برامج تدريبية تخصصية للمعلمين في مجال الذكاءات المتعددة، وإعادة بناء المناهج الدراسية بما يتيح مرونة أكبر لتطبيق الأنشطة الصفية المتنوعة، إلى جانب توفير مواد تعليمية داعمة لتفعيل مختلف أنماط الذكاء لدى الطلبة الموهوبين، بما يعزز جودة نواتج تعلمهم في مادة اللغة العربية ويواكب توجهات التعليم التخصصي بدولة الإمارات العربية المتحدة. This study examined the educational practices based on the theory of multiple intelligences and their relationship to improving Arabic language learning outcomes among gifted tenth-grade students in the United Arab Emirates. The study was guided by three main questions: assessing teachers’ level of knowledge about the theory of multiple intelligences; determining the level of Arabic language learning outcomes among gifted students; and identifying the nature of the correlation between educational practices based on the theory and the students’ learning outcomes. The study adopted the descriptive analytical approach, and an electronic questionnaire was distributed to a sample of (47) Arabic language teachers working in public schools in Dubai. The study tool consisted of four main axes: teachers’ knowledge of the theory, their application of its strategies, the challenges they face, and their proposed recommendations for improvement. The results showed that teachers’ knowledge of the theory of multiple intelligences ranged from moderate to high, with a mean score of (3.76), indicating a relatively high level of awareness. However, their actual application of classroom strategies based on the theory was moderate, with a mean score of (3.25). The practices mainly focused on linguistic and logical-mathematical intelligences, while the use of other intelligences – such as visual-spatial, bodily-kinesthetic, musical, naturalistic, interpersonal, and intrapersonal – remained limited. The results also revealed several challenges faced by teachers, most notably: limited class time, dense curriculum content, insufficient specialized training, and lack of educational materials designed according to the theory. Moreover, the Pearson test results indicated a positive statistically significant correlation between the degree of employing educational practices based on the theory of multiple intelligences and Arabic language learning outcomes among gifted students. This reflects the impact of these practices on enhancing their learning and developing their linguistic and cognitive abilities. In light of these results, the study recommended the development of specialized training programs for teachers in the field of multiple intelligences, restructuring the curricula to allow greater flexibility for implementing diverse classroom activities, and providing supportive educational materials that activate different types of intelligences among gifted students, thereby enhancing the quality of their Arabic language learning outcomes and aligning with the specialized educational directions of the United Arab Emirates.

Hospitals worldwide face increasing pressure to deliver more procedures while managing limited resources, creating a need for innovative administrative solutions. This paper aims to explore the role of artificial intelligence (AI) in improving hospital administrative efficiency in the United Arab Emirates (UAE). AI-powered tools, such as robotic process automation (RPA), chatbots, predictive analytics, and data management systems are being applied to routine tasks including patient interfacing, billing, and intra-team coordination. Using a qualitative design, this study draws on interviews with hospital administrators and detailed institutional reports from both public and private hospitals to assess current practices and outcomes. The findings demonstrate that AI adoption leads to measurable improvements, including up to 25% cost reduction, a 30–35% decrease in administrative errors, and significant time savings in routine processes. These benefits are illustrated through performance analyses, supported by data visualization. At the same time, the paper highlights key challenges to implementation, including system integration difficulties, limited AI literacy among staff, and insufficient regulatory frameworks. The study concludes with practical recommendations for healthcare leaders on infrastructure investment, workforce training, and alignment with national digital health strategies, positioning AI as an essential component of modern hospital administration in the UAE.