Smart Dubai, Dubai Internet City are major government initiatives in Dubai that support development and adoption of technology-based solutions across differ-ent industries and food and beverage (F&B) sector is no exception. These initia-tives supported startups like Drivu by providing access to cutting-edge infra-structure, regulatory provision and investment openings creating a strong digital transformation ecosystem. This study aims to examine alignment of the UAE’s national innovation strategies with Drivu that contributes to sustainable entre-preneurship. This case study explains the idea of Drivu as an innovative solution focusing on the development, the marketing strategy and the alignment with UAE directions. In an industry where rapidity and suitability are increasingly important, the cofounder of Drivu has successfully bridged a critical service gap by innovating a contactless, technology-based drive-thru ordering system that develops operational productivity for businesses and improves convenience for customers. Using a qualitative research methodology, the report draws on an interview with Drivu’s cofounder as well as secondary data from YouTube vide-os, the company website and other research articles to explore a deeper under-standing of this innovation. The findings demonstrate that Drivu supported in-novation through consumer-centric services, up-to-date orders as well and home businesses in the UAE. Drivu continue to exhibit innovation with existing cafes and beyond the existing support through expansion of professional net-work, Gulf region growth and AI features.

This study examines the impact of digital transformation on organizational change and employee adaptability in the context of firms in the United Arab Emirates (UAE). Based on a primary quantitative survey of 201 mid-level employees, the research explores how digital innovation reshapes business processes, organizational culture, and workforce dynamics. It emphasizes the importance of effective change management strategies, leadership support, and structured training programs in ensuring smooth digital transitions. The findings confirm that digital transformation significantly influences organizational culture by driving structural changes, improving workflows, and enhancing decision-making processes. Regression analysis revealed that digital transformation accounts for 86.6% of the variance in organizational change and 86.2% in employee adaptability. Furthermore, communication effectiveness and workflow integration emerged as the strongest indirect predictors of adaptability. Employee adaptability emerges as a critical factor for successful digital transformation, with training opportunities and leadership guidance serving as key enablers. The study contributes to academic literature by linking digital transformation with established theories of organizational change and employee adaptability. It also provides practical recommendations for managers and policymakers to foster a culture of continuous learning, strengthen employee readiness, and align organizational practices with digital strategies to achieve long-term success.

Slideshow presented in June 2018 as part of the Trans Europe Experts working group. https://www.transeuropexperts.eu/index.php?part=5&sujet=312

Existe una conexión entre la lectoescritura y el aprendizaje neuronal, destacando cómo la práctica de la escritura a mano activa redes cerebrales vinculadas a la memoria, la atención y la creatividad, y cómo estas habilidades impactan en la comprensión lectora y la producción escrita. Sin embargo, en la era digital, el desarrollo de estas capacidades se ve cuestionado por la tecnificación del aula. Este informe examina la importancia de la caligrafía y la cursiva en la educación, y su relación con el desarrollo cerebral, al mismo tiempo que propone estrategias pedagógicas para integrar de manera efectiva la escritura manual en los currículos escolares contemporáneos, equilibrando tradición y digitalización.

El estudiante a distancia a menudo forma parte de contextos paralelos desde los cuales se vincula asumiendo diferentes roles como el estudiantil, parental y laboral. En este trabajo se discuten las complejas características de estos tres roles y las implicaciones que conlleva la simultaneidad de los mismos en los estudiantes unadistas desde el punto de vista del enfoque sistémico, abordando los fundamentos para la creación de escenarios de reflexión y apoyo con base en las competencias socioemocionales. Se presenta un diagnóstico inicial mediante una encuesta tipo Likert aplicada a 191 estudiantes de forma virtual, y entrevistas semiestructuradas desarrolladas con 10 estudiantes de forma presencial, todos ellos pertenecientes al CEAD JAG. Se obtuvo información que evidencia las percepciones y opiniones de quienes no tienen hijos, en tanto se considera importante tenerlos en cuenta como parte de la comunidad y como seres humanos cuyo proyecto de vida también puede incluir el tema familiar. Se alcanzaron hallazgos en la descripción del perfil del estudiante unadista que es padre, desde sus competencias socioemocionales y necesidades. Se describen, analizan y evalúan dos eventos de sensibilización y acompañamiento para la promoción del bienestar personal y familiar, llevados a cabo en el mismo CEAD con la participación de únicamente estudiantes en el primer evento, y estudiantes junto con sus familias en el segundo. Ambos encontraron gran receptividad y pertinencia entre los estudiantes unadistas con roles parentales, también entre los docentes asistentes; se plantea la continuidad de esta iniciativa para que se constituya en proyecto de investigación aplicada a largo plazo con la población objetivo descrita. Así pues, se recopilan los fundamentos teóricos sobre el tema articulando una comprensión de la realidad que viven los estudiantes que son padres y los soportes para un acompañamiento efectivo, con la descripción y análisis de las experiencias hasta ahora desarrolladas en la UNAD que sirven de para diagnosticar y perfilar un programa de intervención y seguimiento.

Burnout among healthcare professionals is a critical global challenge that undermines workforce well-being, organizational effectiveness, and patient safety. This working paper presents an integrative review of burnout mitigation strategies, categorizing interventions across individual, organizational, and technological domains. It frames burnout as a multidimensional occupational phenomenon, highlights its causes and consequences, and synthesizes evidence from empirical studies and systematic reviews, with a particular focus on the UAE and comparable healthcare contexts. The findings indicate that individual-level strategies enhance coping capacity and resilience, while organizational-level interventions address systemic and structural drivers. Additionally, technological solutions offer scalable and innovative approaches to support healthcare professionals. However, significant gaps remain in longitudinal evaluations, interventions beyond physicians, and economic assessments of cost-effectiveness. The paper concludes with practical implications for policymakers, managers, practitioners, and researchers in the UAE, emphasizing that burnout mitigation is not only an ethical imperative but also a strategic priority for sustaining workforce resilience and maintaining high-quality healthcare. These findings guide UAE healthcare leaders in prioritizing cost-effective, culturally adaptable burnout mitigation strategies to enhance staff well-being and patient outcomes.

Q-Learning-like fairness-aware deep reinforcement learning framework based on a modified Dueling Deep Q-Learning-Like architecture. The proposed system introduces a complex approach to addressing fairness in decision-making processes while maintaining high performance in system base data configuration assessment tasks in different categories. The architecture implements a multi-model feature approach for fairness optimization, incorporating numerous data processing pipelines that handle multiple concurrent data streams. It includes a fairness-aware deep Q-learning-like architecture with a multi-state model, an integrated multi-stream processing system, and a weight-based reward mechanism balancing prediction and accuracy with fairness metrics. Experimental results have shown the effectiveness of our approach in maintaining fairness across different featured groups while achieving high performance in system base data configuration assessment tasks. Unlike traditional system base data configuration assessment methods that rely on subjective self-reporting, which are vulnerable to cultural biases, literacy barriers, and limited effectiveness in non-verbal patients (e.g., infants, critically ill, or cognitively impaired individuals)—our automated approach provides objective, continuous monitoring with consistent interpretation across diverse patient populations. This addresses critical clinical challenges, including disparities in system base data configuration management across demographic groups, clinician bias in system base data configuration assessment, and communication barriers in vulnerable populations. Furthermore, our fairness-aware framework specifically mitigates algorithmic biases that might otherwise perpetuate existing inequities in system base data configuration management.

Obesity is an epidemic that affects the whole world and the country of the United Arab Emirates is not an exception as this problem afflicts a large percentage of the population. The point of consumptive trends that are dominated by high-fat fast foods, sedentary living, and compounded by stringent climatic weather conditions, all together damage the health and wellbeing, all pre-determined by the harsh climatic conditions, are the major cause of this phenomenon. There are other contributory factors which enhances further to increase the prevalence of obesity among individual populations. However, the problem can be based on multifaceted interventions. The threat of becoming obese is significantly reduced by avoiding high-fat fast food and soft drinks that are rich in calories. All the governmental bodies, non-governmental organizations, service agencies, and the media and educators play a central role in the propagation of healthy lifestyle practices among the people and herding obesity in various national settings.

Gestational Diabetes Mellitus (GDM) is a notable health concern during pregnancy, affecting a considerable number of births globally, with varying prevalence rates reported in the United Arab Emirates (UAE). This literature review explores the state of knowledge regarding GDM and its risk factors among individuals in the UAE highlighting the importance of health literacy for adherence to management protocols and improved pregnancy outcomes. It also aims to provide an overview of the factors associated with GDM within the UAE. Studies conducted in the UAE indicate a moderate awareness of GDM among women and students, influenced by marital status, education, and prior exposure. UAE University students demonstrated good awareness of GDM risk factors, particularly a personal history of GDM and pre-pregnancy overweight or obesity, but their awareness of multiparity as a risk factor was limited. Information mainly comes from family, media, and schools, with limited input from healthcare providers. High BMI, previous GDM, family history of diabetes, and older age were found to be the key risk factors for developing GDM in the UAE. This highlights the need for focused health education, pre-pregnancy counselling, and early screening to improve GDM awareness, early detection, and reduce complications in the UAE.

Quality Improvement (QI) programs and patient safety are the key elements of contemporary healthcare systems, as they are stipulated in terms of patient outcomes, error prevention, and op-timization of healthcare delivery. The combination of Artificial Intelligence (AI) and machine learning technologies into QI programs has potentially transformative potential, but it also raises serious ethical issues. This paper examines ethical implications associated with QI and patient safety in health care with the four fundamental ethical principles, such as beneficence, nonmalefi-cence, justice and autonomy. The study describes major ethical dilemmas of using digital health technologies and presents them through the review of recent literature, covering studies on AI in healthcare, patient safety protocols, and evidence-based practices. Results have identified issues of patient well-being, privacy of patient data, health care access equity, and informed consent in healthcare systems based on AI. The paper highlights the importance of explicit ethical standards and regulatory policies that would guarantee that QI programs and AI technologies are used in the best interest of patients without infringing on their rights. The review recommends enhancing the frequency of communication, patient engagement, and ethical considerations in AI implemen-tation in the healthcare industry to maintain ethical integrity and advance patient safety. The study will serve as an addition to the current debate on the way to reconcile the technological progress, as well as the ethical healthcare practices, in the search for better patient outcomes.