Pakistan is grappling with significant economic and political challenges stemming from various factors. Positioned at the heart of the Chinese Belt and Road Initiative, Pakistan has been presented with a diverse array of opportunities encompassing trade, investment, energy resource development, Special Economic Zones (SEZs), the expansion of the Gwadar port, integration of its economy with neighboring nations via various connectivity projects, and the generation of employment prospects. Given the contemporary interdependence of economic performance and political stability, the potential for economic stability and the creation of opportunities through the China-Pakistan Economic Corridor (CPEC) is seen as crucial. The project helped Pakistan to attract a huge amount of Foreign Direct Investment (FDI), created hundreds of thousands of jobs, significantly improved infrastructure, established nine SEZs, developed Gwadar port, increased its trade volume with China and controlled energy crisis to a significant level. Political development, stability and peace have also been positively influenced by economic development. This study aims to evaluate the impact of CPEC from both economic and political perspectives, especially as it approaches its 10th anniversary, and assess how it has shaped Pakistan’s economic and political landscapes. The forthcoming second phase of CPEC is poised to further bolster Pakistan’s economic growth, fortify industrialization through SEZs, and enhance its international trade. Additionally, the project is set to transform Pakistan into a pivotal regional trade corridor through its advanced connectivity initiatives and the development of the Gwadar port.

The article presents an answer to the current challenge about needs to form methodological approaches to the digital transformation of existing industrial enterprises (EIE). The paper develops a hypothesis that it is advisable to carry out the digital transformation of EIE based on considering it as a complex technical system using model-based system engineering (MBSE). The practical methodology based on MBSE for EIE digital representation creation are presented. It is demonstrated how different system models of EIE is created from a set of entities of the MBSE approach: requirements—unctions—components and corresponding matrices of interconnections. Also the principles and composition of tasks for system architectures creation of EIE digital representation are developed. The practical application of proposed methodology is illustrated by the example of an existing gas distribution station.

This paper uses existing studies to explore how Artificial Intelligence (AI) advancements enhance recruitment, retention, and the effective management of a diverse workforce in South Africa. The extensive literature review revealed key themes used to contextualize the study. This study uses a meta-narrative approach to literature to review, critique and express what the literature says about the role of AI in talent recruitment, retention and diversity mapping within South Africa. An unobtrusive research technique, documentary analysis, is used to analyze literature. The findings reveal that South Africa’s Human Resource Management (HRM) landscape, marked by a combination of approaches, provides an opportunity to cultivate alternative methods attuned to contextual conditions in the global South. Consequently, adopting AI in recruiting, retaining, and managing a diverse workforce demands a critical examination of the colonial/apartheid past, integrating contemporary realities to explore the potential infusion of contextually relevant AI innovations in managing South Africa’s workforce.

With the implementation of China’s national strategy of “Culture Going-out”, it is important to translate Qingdao folk culture well in order to promote the effective communication of Qingdao folk culture worldwide. However, the uniqueness of folk culture poses certain difficulties for translation. Skopos theory can effectively guide the translation of Qingdao folk culture. From the perspective of this theory, the author analyzes the principles and strategies of English translation of Qingdao folk culture and proposes four translation methods, such as literal translation with notes, equivalent translation, phonetic translation with notes and free translation. Translators can choose the appropriate translation methods according to specific translation purposes.

This research is based on the condition of the ever-rampant events of illegal logging perpetrated by companies in various areas in Indonesia and Malaysia. The issue of corporate illegal logging happened due to a concerning level of conflict of interest between companies, the government, and local societies due to economic motives. this paper aims to analyze the law enforcement on corporate illegal logging in Indonesia and Malaysia as well as the law enforcement on corporate illegal logging that is based on sustainable forestry. this research used the normative legal approach that was supported by secondary data in the forms of documents and cases of illegal logging that happened in Indonesia and Malaysia. this paper employed the qualitative analysis. Results showed that Indonesia had greater commitment and legal action than Malaysia because Indonesia processed more illegal logging cases compared to Malaysia. But mere commitment is not enough as the illegal logging ratio in Indonesia compared to timber production is 60%. meanwhile, in Malaysia, it is 35%. This shows that the ratio of law enforcement in Malaysia is more effective when comparing the rate of illegal logging and timber production. The phenomenon of forest destruction in Indonesia happened due to a disharmonic situation or an improper social relationship between society, the regional government, the forestry sector, business owners, and the law-enforcing apparatus. The sustainable forest-based law enforcement concept against corporate illegal logging is carried out through the integration approach that involves various parties in both countries.

Remote sensing technologies have revolutionized forestry analysis by providing valuable information about forest ecosystems on a large scale. This review article explores the latest advancements in remote sensing tools that leverage optical, thermal, RADAR, and LiDAR data, along with state-of-the-art methods of data processing and analysis. We investigate how these tools, combined with artificial intelligence (AI) techniques and cloud-computing facilities, enhance the analytical outreach and offer new insights in the fields of remote sensing and forestry disciplines. The article aims to provide a comprehensive overview of these advancements, discuss their potential applications, and highlight the challenges and future directions. Through this examination, we demonstrate the immense potential of integrating remote sensing and AI to revolutionize forest management and conservation practices.