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Diabetes is a chronic and challenging disease and requires personal daily self-management decisions and skills. For that, it is necessary that patients have sufficient information and health literacy to make the right choices and decisions in their self-care. Sequentially, health literacy has great relevance and influence in the daily lives of people with diabetes, since it encompasses the necessary skills to manage disease and health. Health literacy can be a relevant factor to consider when tackling diabetes self-management. Thus, for the prevention and treatment of diabetes, it is essential to promote individual health literacy. The quality of communication and patient-centred communication style seems to be a key aspect for the health literacy.

We are currently experiencing, in western societies, a new reality in health systems, the emergence of an epidemic of chronic diseases, which test and raise new challenges to the health systems. This exponential increase in chronic diseases has not been accompanied by updated training of health professionals in this area. The chronic illness implies a bilateral relationship, of commitment and compromise for life, in which the involvement of the sick person must be the rule. The scope of therapeutic education (TE) is making the person autonomous and helping them to maintain or improve their quality of life. To treat patients with chronic disease, health professionals need to adapt their knowledge to their new role in the therapeutic relationship. As for the methodology, a participative observational methodology will be carried out with the training of health professionals who work in this area. It is a descriptive work based on studies and works published by the main schools working in this area, with emphasis on the School of Geneve. The purpose is to identify the problem of chronic diseases, the challenges that patients and health professionals face and how to build educational projects, exploring the use of educational tools, including digital technology.

The study responds to the common concerns of authors, reviewers, and editors on writing and publishing high-quality literature review (LR) studies. First, we evolved the background and decision elements on the five parameters of a quality LR paper: Planning, Operationalizing, Writing, Embedding, and Reflecting (POWER), from the editorials and guiding literature. Statistical procedure and refinement of 256 responses from writers, reviewers, and editors revealed 37 decision elements. Finally, a multicriteria-decision-making approach was applied to the detailed responses from the lead editors of ABDC, Scopus, ABS, and WoS journals, and 31 decision elements were found strong enough to represent these five parameters on the quality of LR studies. All five parameters are found important to be considered. However, a high priority is suggested for embedding (the results coming out of the review) and operationalizing (the process of conducting the review), whereas reflection, writing, and planning of LR papers still remain important. The purpose of the POWER framework is to overcome the challenges and decision dilemmas faced by writers and decision-makers. The POWER framework acts as a guiding tool to conduct LR studies in general and business management scholars in specific ways. In addition, this study provides a checklist (Table 6) and template (Appendix A1) of a quality LR study to its stakeholders.

Purpose: Green computing is a way of using the computer resource in an eco-friendly while maintaining and decreasing the harmful environmental impact. Minimising toxic materials and reducing energy usage can also be used to recycle the product.

Need for the Study: The motivation of the study is to use green computing resources to decrease carbon emissions and their adverse effect on the environment.

Methodology: The study uses a qualitative method of collecting resources and data to address the opportunities, challenges, and future trends in green computing for Sustainable Future Technologies. The study focusses on multiple kinds of cloud computing services collected and executed into single remote servers. The service demand processor offers these services to the client per their needs. The simultaneous requests to access the cloud services, processing and expertly managing these requests by the processors are discussed and analysed.

Findings: The findings suggest that green computing is an upcoming and most promising area. The number of resources employed for green computing can be beneficial for lowering E-waste so that computing can be environmentally friendly and self-sustainable.

Practical Implications: Green computing applies across all industries and service sectors like healthcare, entertainment, tourism, and education. The convergence of technologies like Cloud Computing, AI, and Internet of Things (IoT) is greatly impacting Green Supply Chain Management (GSCM) market.