Ongoing Discourse Research Articles

An Exploration of the Role of HR Departments in Optimizing Employee Mental Wellness in the Face of Organizational Risks

Purpose Considering mental health in organizations is crucial for several reasons, as it directly impacts the well-being and productivity of employees. This paper aims to delve into the role of the human resource (HR) department (HRD) in promoting mental health and mitigating associated organizational risks within emerging markets, with a specific focus on organizations in Jordan. Design/methodology/approach Using a qualitative research approach, 21 semistructured interviews were conducted with employees from diverse organizations and industries in Jordan. Findings The study’s findings illuminate a constrained role of HRD in supporting employees’ mental well-being, attributable to several factors: (i) a perceptual gap between the actual and desired roles of HRD in fostering mental health according to employees; (ii) institutional factors dictating initiatives for mental health support at work; and (iii) societal and cultural norms shaping attitudes toward mental health, both pre- and post-COVID-19. Research limitations/implications This study contributes to the ongoing discourse on the intersection of HR practices and mental health support in the workplace in emerging markets, providing valuable insights for both academic and practical considerations. As organizations navigate the evolving landscape of employee well-being, this study’s findings offer a foundation for future research and the development of evidence-based strategies to enhance mental health support within organizational contexts and mitigate organizational risks. Originality/value This study illuminates the current landscape of human resources management development in fostering mental health at work in Jordan, serving as a foundation for future research agendas in the country and potentially the wider region.

What We Convey When We Talk About Public Health Crisis: A Case Study of Global Media Coverage of COVID-19 Using Big Data Approach

This article addresses the urgent need for a comprehensive understanding of the global media coverage of Coronavirus Disease 2019 (COVID-19) by conducting a massive-scale analysis using the Global Database of Events, Language, and Tone. With a dataset encompassing 53,967,878 news items from 4,708 online news sources across 67 countries, the study spans the entire trajectory of the pandemic from the first reported case on December 31, 2019, to September 11, 2020. The analysis aims to surpass the limitations of previous research by offering a worldwide perspective on COVID-19 media coverage over a significant timeframe. Additionally, the paper explores the intricate relationships between media portrayals and the epidemiological situations in primary countries. By examining the media's impact on public perceptions, the study contributes valuable insights to the ongoing discourse on COVID-19, addressing the limitations of prior research and emphasizing the importance of a nuanced and expansive approach to understanding the role of media in the context of global health crises.

Abstract 4118410: The Effect of Positive Tilt Table Tests on Long QT Syndrome Diagnosis: A Cross-Sectional Perspective

Background: The tilt table test (TTT) serves as a widely adopted diagnostic tool for evaluating syncope of undetermined etiology, with a positive result often indicative of parasympathetic overstimulation. This excessive activation of the parasympathetic system holds the potential to influence QTc measurement not only through rate modulation but also by impacting potassium ionic channels, given that muscarinic activation inwardly rectifies the K+ current. Methods: In this cross-sectional study, 478 patients experiencing syncope of unknown origin underwent evaluation with TTT and 24-hour Holter electrocardiogram monitoring. The Schwartz Score, utilized for diagnosing Long QT syndrome, was computed for all participants. Those with secondary causes of long QT were excluded from the analysis. The association between positive TTT results and Schwartz Score was then examined. Results: A total of 478 patients were enrolled in the study, comprising 208 (43.4%) males and 270 (56.4%) females. The mean age of the patients was 42.43±17.979 years. TTT results were positive in 289 (60.46%) patients and negative in 189 (39.54%) patients. Patients with positive TTT results exhibited a significantly higher mean Schwartz Score compared to those with negative results (2.77±0.08 vs. 1.99±0.12) (P<0.001) (Figure 1). The odds ratio for higher Schwartz scores in the presence of positive TTT results was 4.547. Conclusion: Caution is warranted when diagnosing long QT syndrome as a potential cause of syncope solely based on the Schwartz Score. This study underscores the necessity for potential modifications to the scoring system, acknowledging the impact of tilt table test outcomes on its predictive accuracy. These findings contribute to the ongoing discourse on refining diagnostic approaches for Long QT syndrome in the context of syncope, promoting more accurate and nuanced clinical decision-making.

A Study to Investigate the Role and Challenges Associated with the Use of Deep Learning in Autonomous Vehicles

The application of deep learning in autonomous vehicles has surged over the years with advancements in technology. This research explores the integration of deep learning algorithms into autonomous vehicles (AVs), focusing on their role in perception, decision-making, localization, mapping, and navigation. It shows how deep learning, as a part of machine learning, mimics the human brain’s neural networks, enabling advancements in perception, decision-making, localization, mapping, and overall navigation. Techniques like convolutional neural networks are used for image detection and steering control, while deep learning is crucial for path planning, automated parking, and traffic maneuvering. Localization and mapping are essential for AVs’ navigation, with deep learning-based object detection mechanisms like Faster R-CNN and YOLO proving effective in real-time obstacle detection. Apart from the roles, this study also revealed that the integration of deep learning in AVs faces challenges such as dataset uncertainty, sensor challenges, and model training intricacies. However, these issues can be addressed through the increased standardization of sensors and real-life testing for model training, and advancements in model compression technologies can optimize the performance of deep learning in AVs. This study concludes that deep learning plays a crucial role in enhancing the safety and reliability of AV navigation. This study contributes to the ongoing discourse on the optimal integration of deep learning in AVs, aiming to foster their safety, reliability, and societal acceptance.

Motivations behind TikTok content creation among Gen Z expatriates

Abstract This study investigates the motivations behind TikTok content creation among Vietnamese Gen Z expatriates by exploring the interplay of the social comparison theory and the Uses and Gratifications Theory in shaping their engagement with the platform. Through qualitative interviews, we uncover the dual role of TikTok in their lives: a tool for fostering social connection and personal expression and a platform for social comparison and validation. These findings illuminate the complex interplay between digital media use and the experience of digital migration, highlighting how Gen Z expatriates navigate transnational identities and seek belonging in an increasingly interconnected world. The study contributes to the ongoing discourse on digitalization and expatriation, emphasizing the multifaceted role of social media in shaping the experiences of young migrants in the digital age.

Model and Ensemble Indicator-Guided Assessment of Robust, Exploitable Groundwater Resources for Denmark

Groundwater constitutes 99% of the Earth’s liquid freshwater and is crucial for human health, economic development, and ecosystem sustainability. This study assesses groundwater sustainability in Denmark by employing a comprehensive hydrological model and a set of ensemble indicators. The paper describes the methodology and the results based on nine selected indicators. Three indicators focus on recharge capture and aquifer sustainability, one focuses on groundwater level and wetland capture, two focus on baseflow and drainage flow capture, and three focus on eco flow capture. Our findings highlight that while overall exploitable groundwater resources are estimated at 1.1 billion m3/year, significant regional disparities exist, with certain areas, notably Zealand, facing over-exploitation rates exceeding 250% of sustainable limits. The indicators developed not only provide a framework for assessing current groundwater resource limits, but also serve as a basis for future monitoring and adaptive management strategies. This research underscores the need for stakeholder engagement and integrated approaches to ensure the sustainability of groundwater resources in the face of growing anthropogenic pressures and climate change. Our work contributes to the ongoing discourse on sustainable water management and offers a robust methodology for assessing groundwater sustainability.

How 3D Printing Technology Makes Cities Smarter: A Review, Thematic Analysis, and Perspectives

This paper presents a comprehensive review of the transformative impacts of 3D printing technology on smart cities. As cities face rapid urbanization, resource shortages, and environmental degradation, innovative solutions such as additive manufacturing (AM) offer potential pathways for sustainable urban development. By synthesizing 66 publications from 2015 to 2024, the study examines how 3D printing improves urban infrastructure, enhances sustainability, and fosters community engagement in city planning. Key benefits of 3D printing include reducing construction time and material waste, lowering costs, and enabling the creation of scalable, affordable housing solutions. The paper also addresses emerging areas such as the integration of 3D printing with digital twins (DTs), machine learning (ML), and AI to optimize urban infrastructure and predictive maintenance. It highlights the use of smart materials and soft robotics for structural health monitoring (SHM) and repairs. Despite the promising advancements, challenges remain in terms of cost, scalability, and the need for interdisciplinary collaboration among engineers, designers, urban planners, and policymakers. The findings suggest a roadmap for future research and practical applications of 3D printing in smart cities, contributing to the ongoing discourse on sustainable and technologically advanced urban development.

FEATURES OF THE DETERMINING THE STATE POLICY OF UKRAINE IN THE AREA OF DE-OCCUPATION

This article aims to explore the peculiarities of defining the concept of "state policy" in Ukraine in the context of de-occupation. The relevance of this research is grounded in the ongoing territorial challenges that Ukraine faces due to military aggression and the occupation of its territories. The need for a coherent and strategically sound approach to regaining control over these regions makes the issue highly pertinent. The study adopts an analytical research methodology, focusing on the theoretical foundations of state policy in the sphere of de-occupation. The research also utilizes comparative analysis, examining the different models of de-occupation that have been applied historically and internationally, including military, political-diplomatic, institutional, and economic models. The findings indicate that the concept of “state policy” in de-occupation processes is multi-faceted and requires a comprehensive approach, combining various strategies. Key components of the theoretical basis for state policy in de-occupation are identified, including the political and legal foundation, socio-economic integration, national reconciliation and cultural integration, security measures, and international support. Each of these elements plays a crucial role in the successful recovery of occupied territories and the re-establishment of state sovereignty. The study highlights the importance of synchronizing these components to ensure long-term stability and development in post-conflict regions. The practical value of the article lies in its potential to serve as a guideline for policymakers and government officials in Ukraine, offering a structured understanding of how these key components can be effectively integrated into the country's de-occupation strategy. By focusing on both theoretical and practical dimensions, the article provides a framework that can contribute to the formulation of effective policies aimed at the reintegration of occupied territories, addressing challenges such as legal ambiguity, socio-economic disparities, and security risks. This research contributes to the ongoing discourse on de-occupation by offering insights into how Ukraine can enhance its efforts in restoring territorial integrity in the face of current geopolitical challenges.

CHALLENGES AND BARRIERS IN THE IMPLEMENTATION OF ANTI-CORRUPTION POLICY AT THE NATIONAL AND REGIONAL LEVELS

This article explores the challenges and barriers faced in the implementation of anti-corruption policies at both national and regional levels in Ukraine, emphasizing the urgent need for effective measures to combat corruption, which remains a significant impediment to sustainable economic development, the establishment of a rule of law, and social justice. Despite numerous legislative initiatives and the establishment of specialized anti-corruption bodies, the implementation of anti-corruption policies is hindered by various factors. These include insufficient institutional capacity, the influence of political interests that compromise the independence of anti-corruption agencies, and an inadequate legislative framework that often fails to meet contemporary demands. Regionally, local elites frequently resist anti-corruption measures, compounded by low legal awareness among citizens and a lack of resources for effective oversight and investigations. This research employs qualitative analysis, drawing on existing literature and case studies to identify key challenges in anti-corruption efforts. It synthesizes perspectives from various scholars, including Al-Jundi, Shuhaiber, and Budsaratragoon, to highlight global insights while focusing on Ukraine's specific context. By analyzing these challenges, the study seeks to develop recommendations for overcoming barriers to effective anti-corruption implementation. It underscores the importance of enhancing institutional capabilities, promoting transparency, and fostering a culture of accountability. Ultimately, this research serves as a critical step toward establishing a robust anti-corruption framework that promotes a transparent and equitable society in Ukraine, necessitating a comprehensive approach that integrates national and regional strategies for optimal effectiveness. Through this work, the article contributes to the ongoing discourse on anti-corruption policies and their implementation challenges, providing actionable insights for policymakers and practitioners.

Metahuman

In contemporary education, there is a growing recognition of the importance of preparing learners with essential soft skills and the ability to engage in safe-to-fail tasks. Introducing the concept of failing safely and practising complex conversational skills in a controlled, virtual environment is crucial for students to effectively apply these skills in real-world situations (Korhonen et al., 2023). Our project, titled Metahuman, introduces an AI-powered simulation-based learning experience where learners interact with 3D virtual humans in real time. These virtual humans serve as guides and facilitators, simulating diverse interpersonal scenarios encountered in professional settings. This approach is rooted in simulation-based learning, where learners can explore and engage in various scenarios without the risk of real-world consequences (Chen & Lu, 2022). The Metahuman is designed with dynamic personalities that emotionally respond to learner input and feature realistic voices; these adaptive, simulated environments have been shown to foster critical thinking and professional conversation skills (Ruokamo et al., 2023). One application of Metahuman is within the healthcare sector, where nurses (learners) can practise screening a patient (Metahuman) for Tuberculosis in a virtual clinic. Nurses learn to navigate complex patient scenarios, building their skills and confidence in a controlled setting. This experience highlights how simulation-based learning can enhance competence and preparedness for real-world challenges, as discussed by Wu and Yu (2023). Central to the Metahuman experience is an AI-driven mentor that delivers contextual feedback in real time, aligned with specific learning objectives and competency frameworks. These frameworks and objectives provide safeguards for how the Metahuman interacts with learners, ensuring that the scenarios presented are both relevant and educationally sound. Robust prompts designed by educators and learning designers govern the interactions between learners, the Metahuman, and the AI mentor. This structured interaction enables learners to receive personalised guidance, enhancing skill acquisition and reflective practice. Automated transcripts of these interactions capture learning outcomes, providing evidence of learner progress and foster continuous improvement (Niu et al., 2023). These transcripts serve as valuable resources for self-reflection and feedback for both learners and educators, and allow learners to deepen their understanding of the skills practised in the scenarios (Wu & Yu, 2023). To further support the educational process, Metahuman includes prompt and virtual human templates that allow for rapid development of diverse scenarios. This flexibility enables educators to tailor learning experiences to specific needs, making it easier to integrate Metahuman into various educational contexts. The platform’s accessibility through web browsers, without requiring additional installations, supports cost-effective scalability and broad adoption across different settings. This ease of access ensures that Metahuman can be integrated into diverse learning environments without significant technical barriers (Chen & Lu, 2022). This poster presentation will showcase Metahumans key features and functions, emphasising its potential to revolutionise soft skills education through safe-to-fail learning environments. The presentation will also provide insights from current implementations across the health, business, and marketing sectors, highlighting user feedback and outcomes. By aligning with well-established concepts such as simulation-based learning, Metahuman positions itself as a pivotal tool in the future of education, contributing to the ongoing discourse on educational transformation and digital innovation.

Four-walled or fourfold? Assessing if the gated community is an antidote to cities or a macrocosm of deprived houses

ABSTRACT This cross-sectional study evaluates the effectiveness of established and emerging city typologies, comparing whether the gated city functions as a four-walled microcosm of the deprived concrete house or serves as an antidote to urban sprawl. The fourfold model is grounded in evidence-based theories on residential greenness and urban health, resulting in four variables: greenness, sky views, social enrichment, and personal boundaries. Against the backdrop of the Greater Cairo Region, where urban evolution unfolded over two decades, leading to the emergence of gated cities, adult participants completed surveys representing pre- and post-decades. This shift in the residential landscape towards independent and gated communities allows for an assessment of well-being across city/community types and house typologies, comparing the efficacy of gated cities in relation to macro and micro typologies with the four variables. The results reveal intriguing patterns and pitfalls of gated communities, contributing to the ongoing discourse on creating inclusive and fulfilling residential environments. The study underscores the importance of examining interactive experiences within the macro-scale environment and calls for future research to extend beyond the blueprint, engaging residents with the four variables through urban and architectural designs, rather than closing doors and expecting an experience that enhances their well-being.

Visualizing the Philippines’ SDG 11.3.1 Status and Progress Using Open-Source Geospatial Software and Earth Observation Datasets

Abstract. This paper presents the development and implementation of a web GIS-based application designed to visualize the status and progress of Sustainable Development Goals (SDGs). Focusing specifically on SDG 11.3.1, which pertains to sustainable urbanization, we propose a prototype (accessible at https://ccgeoinformatics.github.io/sdg1131ph/) that leverages open-source geospatial software and earth observation (EO) datasets. By following the "where-when-what-how" framework of SDG visualization system development, we address the need for effective visualization methods while showcasing the potential of accessible datasets and technology in supporting sustainable development monitoring efforts across different administrative levels. We demonstrate the feasibility of the system in aiding policymakers and stakeholders in their decision-making processes toward achieving the SDGs by 2030. Additionally, our work exemplified how open-source software and EO datasets can address the challenges associated with SDG reporting, particularly in areas where both data and visualization tools are scarce or inaccessible. This paper also contributes to the ongoing discourse on SDG visualization and underscores the importance of localized analysis and visualization in understanding and addressing the challenges of sustainable urbanization using the example of the Philippines.

Visual Art Representation and Social Attitudes Towards Transgender Individuals in Pakistan: Exploring Queer Theory, Personal Narratives, and Societal Change

This research paper investigates the intricate interplay between visual art representation, social attitudes, and the experiences of transgender individuals within the Pakistani context. By integrating the frameworks of queer theory, personal narratives, and the recent enactment of the transgender bill, this study aims to contribute to the creation of a more inclusive and supportive society for transgender individuals in Pakistan. The paper begins by providing a comprehensive understanding of key terms such as LGBT, transgender, and gay, clarifying their distinct meanings to avoid misconceptions. It then introduces the theoretical lens of queer theory, which offers critical insights into challenging societal norms and perceptions regarding gender and sexuality. Through an in-depth case study of a college friend who underwent a gender transition and now identifies as a woman, the researcher engages in meaningful dialogue to gain a profound understanding of her personal experiences, challenges, and transformative journey. This exploration sheds light on the emotional disorientation and internal conflicts often encountered when interacting with individuals who have undergone gender transitions, emphasizing the need for empathy and understanding in fostering meaningful connections. Furthermore, the research delves into the realm of visual art practices among transgender individuals in Pakistan, analyzing the artistic expressions of transgender artists and those who explore transgender themes. By examining the transformative power of visual art to raise awareness, promote empathy, and challenge stereotypes, the study highlights the potential of art as a catalyst for social change and acceptance. In addition, the paper addresses the broader societal implications and attitudes towards transgender individuals in Pakistani society, particularly in the context of the transgender bill. It underscores the urgency for progress in terms of ensuring equal treatment, inclusivity, and acceptance, aiming to dismantle discriminatory practices and foster an environment that embraces diversity. Overall, this research contributes to the ongoing discourse on transgender rights and social attitudes in Pakistan. By amplifying personal narratives, employing queer theory as an analytical framework, and recognizing the transformative potential of visual art, this study advocates for the dignified treatment and facilitation of transgender individuals as valued members of society with respect and equality.

Exploring advanced techniques in process automation and control: A generic framework for oil and gas industry applications

This paper explores advanced techniques in process automation and control, offering a generic framework tailored for applications within the oil and gas industry. The framework addresses the growing need for operational efficiency, safety, and sustainability in an industry characterized by complex, high-risk processes. The adoption of cutting-edge technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Industrial Internet of Things (IIoT) has revolutionized process control systems, enabling real-time monitoring, predictive maintenance, and optimization of production assets. Advanced Process Control (APC) techniques, including model predictive control (MPC), multivariable control systems, and data-driven analytics, play a pivotal role in enhancing production, minimizing downtime, and reducing operational costs. This generic framework leverages the integration of AI and big data analytics for optimizing control strategies, ensuring accurate decision-making and improving operational responsiveness to changing conditions. Additionally, the paper examines how automated control systems mitigate risks associated with human error, while enhancing safety protocols by providing early warnings and real-time insights into equipment performance. Automation also supports the industry's shift towards more sustainable practices by improving energy efficiency, minimizing environmental impact, and enabling remote monitoring in hazardous locations. Through case studies and examples, the paper illustrates the successful implementation of these techniques in upstream, midstream, and downstream operations, highlighting the significant role of digital transformation in driving innovation. The proposed framework can be adapted to diverse oil and gas settings, serving as a foundation for developing scalable, flexible, and sustainable automation solutions. By outlining the key components and benefits of advanced process automation and control, this study contributes to the ongoing discourse on how technological advancements can reshape operational strategies in the oil and gas sector. Keywords: Process Automation, Control Systems, Oil And Gas Industry, Artificial Intelligence (AI), Machine Learning (ML), Industrial Internet of Things (IIoT), Advanced Process Control (APC), Model Predictive Control (MPC), Predictive Maintenance, Digital Transformation, Sustainability.

Empirical methods for enhancing user experience in human-computer interaction design with digital media integration

Abstract. This study rigorously examines the application of empirical methodologies aimed at augmenting the user experience (UX) within the domain of human-computer interaction (HCI) design, with a pronounced emphasis on the seamless integration of digital media. In an era where digital media intricately intertwines with our daily lives, crafting interfaces that are both intuitive and engaging is becoming increasingly essential. This paper embarks on an in-depth analysis of a variety of empirical research techniques, including but not limited to, user studies, A/B testing, and comprehensive analytics. These methodologies are pivotal in providing critical insights and feedback that inform and refine the HCI design process. By judiciously incorporating these empirical methods throughout the design and development phases of digital media applications, designers and developers are equipped to forge more effective, accessible, and immersive user experiences. This approach ensures that digital media interfaces are not only functional but also highly engaging and responsive to user needs and preferences. The research findings underscore the critical role of user-centered design practices in significantly enhancing user engagement, satisfaction, and usability. It emphasizes that understanding the end-user's perspective and integrating their feedback into the design process is fundamental in creating digital media interfaces that resonate with users. Through a detailed exploration of these empirical methods, the study provides a comprehensive framework for improving digital media experiences, highlighting the necessity for a synergistic approach to HCI design that prioritizes user satisfaction and usability. This body of work contributes valuable insights into the ongoing discourse on the optimization of digital media interfaces through empirically informed design strategies, advocating for a user-centric approach in the rapidly evolving landscape of digital media technology..

Artificial Intelligence in Governance: Opportunities, Challenges, and Ethical Implications for Public Administration

The integration of Artificial Intelligence (AI) in the public sector presents both unprecedented opportunities and significant challenges for governments worldwide. This article examines the multifaceted impact of AI on public administration, exploring its applications in service delivery, urban planning, public safety, and administrative efficiency. While AI offers substantial benefits, including enhanced decision-making, cost savings, and improved citizen services, it also raises critical concerns regarding bias, privacy, accountability, and workforce displacement. This article provides a comprehensive analysis of the ethical considerations surrounding AI deployment in governance, emphasizing the need for transparency, inclusivity, and human oversight. By critically evaluating both the promises and perils of AI in public sector operations, this article contributes to the ongoing discourse on responsible AI adoption in government. The findings underscore the importance of developing robust governance frameworks that can harness AI's potential while safeguarding citizens' rights and ensuring equitable service delivery. As governments navigate the AI revolution, this article offers insights into strategies for balancing technological advancement with ethical governance, paving the way for a more efficient, fair, and responsive public sector.

Sustainable development goals and corporate financial performance: Examining the influence of stakeholder engagement

AbstractThis study investigates the relationship between sustainable development goals (SDG) and corporate financial performance (CFP) in the motor vehicle manufacturing sector. Using a comprehensive dataset from CSRHUB database, covering 380 companies from 2016 to 2022, we analyze how SDG‐related disclosures—across depth, breadth, and concentration—impact financial metrics such as return on assets (ROA), return on equity (ROE), return on invested capital (ROIC), and Tobin's Q. The study employs the system generalized method of moments (System GMM) to mitigate endogeneity concerns, ensuring robust results. Our findings reveal that while SDG initiatives positively influence CFP, the role of stakeholder engagement is pivotal. Firms with comprehensive SDG strategies and high stakeholder engagement experience superior financial outcomes. However, an overly narrow focus on specific SDG themes, even with strong stakeholder interactions, correlates with weaker financial performance. This research contributes to the ongoing discourse on corporate sustainability by highlighting the moderating effect of stakeholder engagement in SDG disclosures. The findings offer practical implications for both policymakers and business leaders, suggesting a balanced approach to SDG reporting to maximize financial performance.

Study of the nutritional quality of peas (Pisum sativum L.) under different conservation conditions

Peas (Pisum sativum L.) are among the most widely cultivated legumes, known for their adaptability to dry and warm environments and their high nutritional value. This research aimed to investigate the biochemical diversity of proteins, polyphenols, flavonoids, tannins, and antioxidant activity in a local population of peas from the Mareth oasis in Tunisia under different preservation methods: fresh, frozen, canned, and dried. The hypothesis was that preservation methods significantly impact the nutritional quality of peas, with fresh peas retaining the highest levels of essential nutrients. The results showed that fresh peas had superior nutritional quality, demonstrating the highest concentrations of protein (39 mg/g MF), polyphenols (0.17 mg GAE/g MF), flavonoids (0.086 mg QE/mg MF), and antioxidants (52%). In contrast, dried peas exhibited the lowest nutrient levels, particularly in protein and antioxidant activity. The study highlighted that freezing is an effective method for preserving the nutritional integrity of peas compared to canning and drying, which significantly reduce essential nutrient levels. Understanding the effects of various preservation techniques is crucial for maintaining the nutritional quality of peas. These findings have significant implications for consumers and the food industry, advocating for practices that prioritize the retention of nutrients in preserved peas. This research contributes to the ongoing discourse on food preservation methods and their impact on nutritional quality, providing insights that support better choices in food processing and consumption.

Revisiting the sustainable industrialization paradigm in Africa: Exploring the influence of digitalization

AbstractThis research contributes to the ongoing discourse surrounding the sustainable industrialization of African nations, a pivotal aspect emphasized by the United Nations within the Sustainable Development Goals. Drawing inspiration from the burgeoning digitalization trends across Africa, this study examines the role of digitalization in mediating the environmental repercussions of industrialization within the 45 African countries spanning the years 2000–2022. The assessment of environmental sustainability is gauged through ecological footprint and biocapacity. Employing the Environmental Kuznets Curve, and the Stochastic Impacts by Regression on Population, Affluence, and Technology framework, empirical analyses leverage the Generalized Method of Moments and the mediation analysis using structural equation modeling to unveil insightful findings. The research findings highlight the detrimental impact of industrialization on ecological health, evidenced by its correlation with an increase in ecological footprint and a decrease in biocapacity. Conversely, digitalization emerges as a positive influence on environmental well‐being. These findings remain consistent across diverse categorizations of digitalization, and ecological balance. Further examination of their interplay reveals a discernible favorable impact on environmental sustainability, with mediation analysis suggesting that digitalization mitigates approximately 4% and 6% of the overall impact of industrialization on ecological footprint and biocapacity, respectively. Additionally, our analysis lends credence to the Environmental Kuznets Curve hypothesis. As a result, it is imperative for governments to incentivize industries to adopt eco‐friendly practices and technologies in order to mitigate their ecological footprint. At the same time, policies that promote digitalization should be encouraged to further enhance environmental quality.

Judicial Activism and Governance: A Comprehensive Analysis of Constitutional Principles

The research examines the evolving role of the judiciary in shaping and influencing public policy, emphasizing the delicate balance required to maintain the separation of powers while ensuring effective governance. The study encompasses a broad spectrum of constitutional doctrines and judicial decisions to provide a comprehensive understanding of the dynamics between the judiciary and the other branches of government and it also acknowledges the potential benefits of judicial activism in addressing societal issues. It not only helps in protecting fundamental rights but it also scrutinizes the concerns surrounding overreach and the erosion of democratic principles. A central focus of the paper is the intricate relationship between judicial review and the separation of powers. The analysis evaluates how judicial activism can serve as a check on the legislative and executive branches, ensuring that constitutional rights are safeguarded. However, it also underscores the need for judicial restraint to prevent the judiciary from encroaching on the policymaking domain reserved for elected representatives. The paper discusses the evolving nature of constitutional interpretation and the potential impact on governance, with a specific emphasis on how judicial decisions can influence the legal landscape and societal norms. Furthermore, the analysis considers the role of judicial activism in addressing contemporary challenges such as social justice, environmental protection, and technological advancements. In conclusion, this comprehensive analysis provides a nuanced understanding of the relationship between judicial activism and governance, emphasizing the importance of striking a balance that upholds constitutional principles while respecting the roles of the other branches of government. The paper contributes to the ongoing discourse on the evolving nature of judicial power and its implications for effective and accountable governance within a constitutional framework.