Arts and Social Sciences Journal

Medical sociology is a field that bridges the gap between medicine and sociology, focusing on the social determinants of health, illness, and healthcare systems. It examines how social factors such as gender, race, class, culture, and social norms interact with health and medical practices. In this article, we delve into the unique features of medical sociology, exploring how it employs social ideas to provide insights into the complex interactions between individuals, society, and the healthcare system. One of the core contributions of medical sociology is its emphasis on understanding the impact of social determinants of health. These are the conditions in which people are born, grow, live, work, and age, including factors like socioeconomic status, education, employment, and access to healthcare. Medical sociologists recognize that health outcomes are not solely determined by medical interventions, but are deeply influenced by the broader social context. For instance, individuals with lower socioeconomic status are often at a higher risk of experiencing health disparities due to limited access to quality healthcare and other resources.

Higher education institutions play a critical role in addressing the complex challenges posed by the ongoing socio-ecological crisis. Reaccreditation, a process aimed at maintaining and enhancing the quality of education, presents a unique opportunity for institutions to integrate sustainability literacy into their curricula. This article explores how reaccreditation can serve as a lever for innovation in higher education, facilitating the incorporation of sustainability literacy across disciplines. It delves into the importance of sustainability literacy, the role of reaccreditation, and strategies for effectively infusing sustainability across curricula. By embracing sustainability as a core component, institutions can equip students with the knowledge and skills needed to navigate and contribute to a more sustainable future.

Cloud computing has revolutionized the way information technology is conceptualized, delivered, and consumed. As an interdisciplinary field that intersects computer science, business, and engineering, cloud computing research encompasses a diverse range of topics and approaches. This article explores the thematic boundaries of the cloud computing research field and highlights the importance of mapping the academic community within this dynamic and rapidly evolving domain. One of the foundational themes in cloud computing research is infrastructure and virtualization. This involves the design, management, and optimization of the physical and virtual resources that underpin cloud services. Topics within this theme may include server virtualization, resource provisioning, scalability, and data center architecture.

In today's digital age, social media platforms have become a ubiquitous medium for sharing information, experiences, and images. However, this convenience has also given rise to image forgery, a form of digital manipulation where images are altered to deceive viewers. Detecting image forgery is crucial to maintaining trust and credibility on social media platforms. In this article, we explore the combination of U-Net, a deep learning architecture, and Grasshopper Optimization, a metaheuristic algorithm, to enhance the accuracy of image forgery detection. The proliferation of advanced image editing tools has made it increasingly difficult to differentiate between authentic and manipulated images. Image forgery can take many forms, such as splicing, copy-move, retouching, and more. These manipulated images can be used for malicious purposes, including spreading fake news, damaging reputations, and even inciting violence.