The present study analyzed the extant literature about the phenomenon of human trafficking in Indonesia. The Scope Analysis examined scholarly journals and publications from 2012 to 2020. We obtained databases from internationally recognized journals such as Scopus and Web of Science. We restricted the time frame based on the available evidence at that moment. The methodology employed in this study involved the identification, collection, and organization of peer evaluations that were published with pertinent details or by delineating the fundamental concepts that constitute the domain of a research investigation concerning chronology, location (nation or setting), source (literature review), and provenance. The findings of the analysis indicated the existence of articles that delved into the circumstances and current state of persons who fell victim to human trafficking, specifically from Indonesia to different regions throughout the globe. The analysis approach was utilized in this study, following the methodological parameters outlined by Arksey and O’Malley in 2005. Moreover, it is anticipated that the Scoping Analysis will generate policy recommendations for policymakers, practitioners, and researchers seeking to combat and address the illicit trafficking of individuals in Indonesia.

In recent years, environmental, social and governance (ESG) issues have emerged as a significant area of focus for companies. Furthermore, the international trend is reinforced by the emergence of relevant regulations and the obligation to prepare sustainability reports in leading economies and in the European Union. The impact of ESG and its constituent elements (environmental, social, and governance) on financial performance has been the subject of extensive investigation, with the majority of studies documenting a positive correlation. This evidence substantiates the assertion that sustainability initiatives can yield financial benefits. Concurrently, research has accorded much less attention to the impact of ESG performance on brand value, which can be identified as an indicator of consumer perception. This study, based on data from 26 global corporations between 2012 and 2021, demonstrates that efforts in the areas of environmental and social responsibility have a positive impact on consumer perception, which translates into increased brand value. Nevertheless, such a relationship was not found in case of the governance component.

Artificial intelligence (AI) has rapidly evolved, transforming industries and addressing societal challenges across sectors such as healthcare and education. This study provides a state-of-the-art overview of AI research up to 2023 through a bibliometric analysis of the 50 most influential papers, identified using Scopus citation metrics. The selected works, averaging 74 citations each, encompass original research, reviews, and editorials, demonstrating a diversity of impactful contributions. Over 300 contributing authors and significant international collaboration highlight AI’s global and multidisciplinary nature. Our analysis reveals that research is concentrated in core journals, as described by Bradford’s Law, with leading contributions from institutions in the United States, China, Canada, the United Kingdom, and Australia. Trends in authorship underscore the growing role of generative AI systems in advancing knowledge dissemination. The findings illustrate AI’s transformative potential in practical applications, such as enabling early disease detection and precision medicine in healthcare and fostering adaptive learning systems and accessibility in education. By examining the dynamics of collaboration, geographic productivity, and institutional influence, this study sheds light on the innovation drivers shaping the AI field. The results emphasize the need for responsible AI development to maximize societal benefits and mitigate risks. This research provides an evidence-based understanding of AI’s progress and sets the stage for future advancements. It aims to inform stakeholders and contribute to the ongoing scientific discourse, offering insights into AI’s impact at a time of unprecedented global interest and investment.

The aim of this study is to investigate the effect of tourist resources, conditions and opportunities of sacral tourism in Kazakhstan using panel data (time series and cross-sectional) regression analysis for a sample of 14 regions of Kazakhstan observed over the period from 2004 to 2022. The article presents an overview of modern methods of assessment of the tourist and recreational potential of sacral tourism, as used by national and foreign scientific works. The main focus is on the method of estimating the size and effectiveness of the tourist potential, which reflects the realization and volume of tourist resources and their potential. The overall results show a significant positive effect in that the strongest impact on the increase in the number of tourist residents is the proposed infrastructure and the readiness of regions to receive tourists qualitatively. This study is expected to be of value to firm managers, investors, researchers, and regulators in decision- making at different levels of government.

Twenty-two tomato (Solanum lycopersicum L.) genotypes were examined for correlation and path analysis in the randomized block design under open field conditions. Total fruit yield showed a significant positive correlation with the number of fruits per plant, average fruit weight, lycopene content, and percent seedling survival in the field at both the genotypic and phenotypic levels. A strong correlation between these characters revealed that selection based on these characters would consequently improve the total fruit yield. Path analysis showed that the number of fruits per plant, average fruit weight, percent seedling survival in the nursery, and number of locules per fruit exhibited high positive direct phenotypic effects on total fruit yield, whereas the number of fruits per plant, average fruit weight, percent seedling survival in the field, and pollen viability had very high positive direct genotypic effects. Therefore, to increase the yield, it would be profitable to prioritize these traits in the selection program.

Segregating the scavenging processes from the lubrication methodology is a very effective way of improving two-stroke cycle engine durability. The application of stepped or twin diameter pistons is one such method that has repeatedly shown significantly greater durability over comparable crankcase scavenged engines together with an ability to operate on neat fuel without any added oil. This research study presents the initial results observed from a gasoline/indolene fuelled stepped piston engine ultimately intended for Hybrid Electric Vehicle and/or Range Extender Electric Vehicle application using hydrogen fuelling. Hydrogen fuelling offers the potential to significantly reduce emissions, with near zero emission operation possible, and overcoming the serious issues of range anxiety in modern transport solutions. The low environmental impact is discussed along with results from 1-d Computational Fluid Dynamic modelling. The engine type is a low-cost solution countering the financial challenges of powertrain duplication evident with Hybrid Electric and Range Extender Electric Vehicles.