This study investigates how corruption impacts sustainability in African countries. Using public databases, the research draws on the African Development Bank’s corruption indicators and the World Bank’s financial inclusion metrics. The findings reveal that as financial inclusion increases, particularly through the use of digital financial services, perceptions of corruption decrease. However, economic growth paradoxically correlates with an increased perception of corruption due to rising consumption demands. The study concludes that promoting financial literacy, along with robust governance, is essential for combating corruption and fostering sustainable development.

The idea of emotions that is concealed in human language gives rise to metaphor. It is challenging to compute and develop a framework for emotions in people because of its detachment and diversity. Nonetheless, machine translation heavily relies on the modeling and computation of emotions. When emotion metaphors are calculated into machine translation, the language is significantly more colorful and satisfies translating criteria such as truthfulness, creativity and beauty. Emotional metaphor computation often uses artificial intelligence (AI) and the detection of patterns and it needs massive, superior samples in the emotion metaphor collection. To facilitate data-driven emotion metaphor processing through machine translation, the study constructs a bi-lingual database in both Chinese and English that contains extensive emotion metaphors. The fundamental steps involved in generating the emotion metaphor collection are demonstrated, comprising the basis of theory, design concepts, acquiring data, annotating information and index management. This study examines how well the emotion metaphor corpus functions in machine translation by proposing and testing a novel earthworm swarm-tunsed recurrent network (ES-RN) architecture in a Python tool. Additionally, the comparison study is carried out using machine translation datasets that already exist. The findings of this study demonstrated that emotion metaphors might be expressed in machine translation using the emotion metaphor database developed in this research.

This article explores the possibilities of developing Oman’s tourism sector under China’s Belt and Road Initiative (BRI). Tourism is a cornerstone of Oman’s economy, with the government prioritizing substantial efforts toward its development to foster economic diversification. This paper examines the broader efforts of Oman to strengthen its relations with China, which will indirectly benefit the tourism industry. This article presents a comprehensive analysis of the historical exchanges and future cooperation between China and Oman under BRI, specifically focusing on developing infrastructure and technology in Oman to support the tourism sector. It has been argued that BRI has the potential to significantly contribute to the growth and development of Oman’s tourism sector through increased investment and cooperation with Chinese counterparts.

Medicare, a major healthcare program under the Centers for Medicare & Medicaid Services (CMS) has extended telemedicine services within several states in the US for different specialties for which it reimburses in order to establish a qualitative and accessible healthcare system. In parallel, it has been seen that teleradiology services by American Board Certified radiologists based offshore can significantly supplement healthcare delivery in the US by mitigating the shortage of radiologists and enhance outcomes of patient care especially for after-hours emergency work. Teleradiology can help workflow by improving workload distribution, lowering the cost of reporting, shortening turn-around-time for reports, and improving quality of life for staff. The aim of the article is to provide perspective on Medicare reimbursement of offshore telereporting services. We submit that due to its value proposition and contribution to healthcare, offshore telereporting by American Board Certified Radiologists is worthy of Medicare reimbursement and should be re-evaluated for its credits.

The reduction of biodiversity and the decline in wildlife populations are urgent environmental issues with devasting consequences for ecosystems and human health. As a result, the protection of wildlife and biodiversity has emerged as one of humanity's greatest goals, not only for protecting and maintaining human health but also for environmental, economic, and social well-being. In recent years, people have become increasingly aware of the importance and effectiveness of wildlife conservation efforts alongside environmental protection measures, sustainable agricultural practices and non-harmful production procedures and services. This study describes the development and implementation of a labeling scheme for wildlife and biodiversity protection for products or services. The label is designed to encourage the adoption of sustainable and environmentally friendly production methods and services that will contribute to biodiversity conservation and the harmonic coexistence of human-wildlife. Moreover, using a case study approach, the research presents an innovative information system designed to streamline the label-awarding process, ensuring transparency and efficiency. The established system evaluates the sustainability practices and measures implemented by businesses, with a focus on honey production in this case. Additionally, the study explores the broader social implications of the label, particularly its potential to engage consumers and promote awareness of biodiversity conservation.