European Journal of Science, Innovation and Technology

Cold Thermal Energy Storage Systems: A Viable Alternative for Energy Conservation in Israel

Boris M. Menin — 2025-05-16

This article offers a comprehensive analysis of Cold Thermal Energy Storage (CTES) systems as a realistic and cost-effective alternative to conventional renewable energy investments in the context of Israel’s energy strategy. The study begins by assessing the global progress of green technologies—such as solar, wind, and battery storage—and highlights their fundamental limitations, including intermittency, high disposal costs, and dependency on subsidies. Against this backdrop, the article evaluates the technical maturity and operational benefits of CTES systems, especially those utilizing liquid and pumpable ice. These systems enable demand-side energy shifting, reduce peak loads, and enhance grid resilience. Drawing on international data and case studies from Israel’s commercial and high-tech infrastructure, the paper proposes integrating CTES as a key component in achieving energy efficiency, climate adaptation, and national energy security.

How Obesity Increases the Risk of Developing Type 2 Diabetes and Some Cancers

Aditta Das — 2025-05-16

Obesity is becoming a global health problem, and its effects extend beyond weight gain. The condition has also been linked directly to an increased risk of type 2 diabetes and several cancers. Storage of body fat causes insulin resistance, which is one of the primary reasons for the development of type 2 diabetes. Further, obesity also generates chronic inflammation and disruption of metabolic pathways, both of which are involved in the pathogenesis of most cancers, such as breast cancer, colorectal cancer, and pancreatic cancer. It is essential to understand how obesity is connected with diabetes and cancer so that prevention can be best utilized. This paper describes how obesity heightens the risk of these diseases and highlights the significance of weight control as a preventive measure.

Pregnenolone as an Effective Prohormone for Multiple Therapeutic Uses

Manfred Doepp — 2025-05-21

If there is a deficit of endogenous steroid hormones, chemical derivatives can be used. However, an endogenous prohormone of the steroid hormones, namely pregnenolone, could also be applied. It was discovered and synthesized 90 years ago. Since then, many publications have demonstrated its positive effects, as it enables the endocrine glands to increase the production of corticoids and sex hormones. It is also effective as a neurosteroid against brain disorders. The widespread use of pregnenolone is therefore indicated.

Enterprise Revenue Analytics and Reporting in SAP S/4HANA Cloud

Ravi Kiran Puvvada — 2025-05-22

This scholarly article examines the evolution, architecture, implementation strategies, and business value of Enterprise Revenue Analytics & Reporting Cloud solutions for SAP S/4HANA environments. As organizations continue their digital transformation journeys, the integration of robust analytics capabilities with core ERP systems has become increasingly critical for driving data-informed decision making. This paper provides a detailed analysis of how cloud-based revenue analytics platforms enhance the capabilities of SAP S/4HANA, offering real-time insights, predictive capabilities, and actionable intelligence for finance and revenue management teams. Through examination of architectural frameworks, implementation methodologies, case studies, and future trends, this research contributes to the increasing number of knowledges on enterprise analytics in modern SAP environments.

Shareholders and Stakeholders in Higher Education Institutions in Nigeria: An Analytical Perspective

V. F. Peretomode — 2025-05-26

This paper analyses the concepts of shareholder and stakeholder often discussed in corporate organizations but have also found their way into the discourse of higher education governance in Nigeria. It x-rays the characteristics of these terms, considers their differences and highlights their similarities in the context of higher education institutions (HEIs). The point is explicitly made that while the word shareholder is associated with private-for-profit HEIs; both public and private HEIs have diverse stakeholders with different interests and conflicting interests. While both concepts are often used interchangeably as if they are the same, both should not be confused as there is a world of difference between them which has also been discussed in this paper. The paper distinguishes internal from external stakeholders and discusses in some details the significant roles each stakeholder group plays in the management of HEIs. It is believed that an understanding of their interests and roles is important to HEI managers to create value for each stakeholder group, manoeuvre through their differences and handle their diverse interests with utmost care and success. This ability and capacity will enable these managers to tap the strengths and resources of these diverse stakeholders to help revamp the curricula to produce graduates that are readily prepared for the labour market. Such a knowledge and understanding will also help such managers to meet their set goals, fulfil their vision, build up an enriched endowment, and in enhancing the development of infrastructure and the continued sustainability of quality higher education institutions in Nigeria.

Analyzing AI Applications in Oil and Gas Industry: Breakthrough Tools, Methods and Platforms

Dong Pham Van — 2025-05-29

The article explores the transformative impact of artificial intelligence (AI) on the oil and gas industry, highlighting how AI technologies are being leveraged to optimize operations, improve safety, and reduce costs. It examines a range of AI tools, methods, and platforms that are revolutionizing various stages of the oil and gas value chain, including exploration, drilling, production, and maintenance. Key applications discussed include predictive maintenance, reservoir modeling, automated drilling systems, and real-time data analytics. The paper also addresses the challenges of AI integration in legacy systems and emphasizes the need for industry-wide collaboration and regulatory support to fully realize AI's potential. Overall, the study underscores AI as a breakthrough enabler for digital transformation in the energy sector.

Designing an Integrated Enterprise Architecture for Unified Sales and Marketing Operations: Enhancing Customer Experience through Data-Driven Decision-Making

Saumya Dash — 2025-06-02

The rapid development of the digital economy requires businesses to deliver fully personalized customer care using streamlined operational methodologies. Misalignments between sales and marketing systems—when operating independently—create obstacles for achieving this goal. This leads to rigid data structures and strategic misalignment, which ultimately produce inconsistent approaches to customer management and employee engagement.

This article presents a comprehensive framework for designing an integrated enterprise architecture (EA) that unifies sales and marketing operations to enhance customer experience through data-driven decision-making.

The implementation of TOGAF-based EA standards, customer data platforms (CDPs), cloud- native applications, and AI analytics enables the convergence of siloed business units and aligns data networks with organizational goals. The paper highlights four essential architectural areas, focusing on data infrastructure, automation procedures, and multichannel client engagement.

Detailed implementation guidance, risk mitigation strategies, and evidence-backed insights are provided to support improvements in customer satisfaction, business velocity, and revenue growth.

Every customer interaction becomes strategically valuable as firms gain real-time visibility and operational agility by integrating systems architecture with actionable data. This guide is designed for enterprise architects, CIOs, and transformation leaders supporting digital transformation and sustained CX innovation.

Population Growth, Urbanization and Deforestation of the City of Kindu

Stanislas CHOMA NYEMBO — 2025-06-09

The findings on the evolution of the population of the city of Kindu during the study period on population growth, urbanization, and deforestation are alarming. The analysis of correlation reveals, on the one hand, a significant relationship between population growth and deforestation in the city, and on the other hand, a strong correlation between urban expansion and forest loss. This situation is largely due to the expansion of the city of Kindu, which has occurred through the densification of former colonial subdivisions and horizontal sprawl, including the creation of more than 50% of de facto (unplanned or informal) settlements.

Dynamics of the Deforestation of the City of Kindu between 1986 and 2020

Stanislas CHOMA NYEMBO — 2025-06-09

This study explores the factors underlying deforestation in the city of Kindu, Democratic Republic of Congo. It concludes that deforestation in Kindu is a serious problem, exacerbated by population growth and unsustainable agricultural practices.

Biochemical Synthesis and Characterization of Hybrid Groundnut Shell Powder and Coconut Husk Ash as Corrosion Inhibitor on Mild Steel in Acidic Environment

Benjamin Ufuoma Oreko — 2025-06-13

There is an increase in demand for environmentally friendly and cost-effective corrosion inhibitor materials, notably in the development of corrosion inhibitors produced from natural resources. However, the composition of natural inhibitors appropriate for effective control of corrosion has yet to be extensively studied. This work attempts to synthesize and characterize an environmentally friendly corrosion inhibitor from groundnut shell powder (GSP) and coconut husk ash (CHA) and examines the inhibitory potential of GSP-CHA on mild steel under 1M HCl environment, using SEM-EDX. It was observed that the CHA-GSP contains an appropriate amount of polyphenolic, carbon and active silica components present in its constituents. These active ingredients could make the GSP-CHA blend a good candidate for a corrosion inhibitive material.

Transformative Synergies of AI: Catalyzing Tipping Point Innovations in Telemedicine and Healthcare

Bongs Lainjo — 2025-06-16

Artificial Intelligence (AI) has enhanced telemedicine and healthcare, transitioning them to a new dimension of synergy that brings about efficient tipping-point innovations. This study examines the context and process through which AI has been systematically adopted in telemedicine with an understanding of innovation diffusion and key inflection points in the overall evolution of healthcare systems. Based on the innovation diffusion theory and the tipping point theory, the study further explores the adoption drivers, the system-level innovations that ensue, and the ethical and policy issues that arise from the same. Key insights revealed increased AI use in diagnostics, real-time monitoring, and decision support systems, emphasizing the need for policy cohesiveness across the care continuum, strong and reliable governance, and international strategies to address equity, ethical, and readiness issues related to technology. Based on these findings, recommendations can be made on how AI can be utilized to enhance the resilience and equity of healthcare systems for health facilities worldwide.

Leveraging Generative AI In Marketing Operations and Internal Management

Ravi Teja Surampudi — 2025-06-17

Applying Generative Artificial Intelligence (GenAI) to both marketing activities and internal work is reshaping today’s business strategies. GenAI is notable because it can independently produce content like text, images, videos, and audio which many businesses are now using AI for. With this technology, creativity, efficiency, and innovation can happen in important parts of an organization. The paper studies how strategic and operational value is increased by using GenAI in marketing functions and management systems. The study relies on theories and reviews recent academic papers, case studies from the industry, and ideas introduced by top technology businesses. GenAI is found to improve marketing methods by producing content on the spot, reaching out to audiences right away, analyzing consumer opinions, and creating highly personalized campaigns. GenAI helps the company by automating repeatable jobs, aiding workers, sharing data in real time, and aiding chief-level choices. At the same time, adopting GenAI does pose some problems. People still worry about data safety, unfair decisions from algorithms, rules imposed by authorities, employees adjusting to technology, and ethical issues that stand in the way of full adoption. The study ends with the proposal of a strategic plan to handle these problems and make the most of GenAI. The study creates practical and theoretical results that can guide business experts, researchers, and marketers in making the right decisions about using GenAI.

How Cloud Service Reliability is Improved after Shifting from Reactive to Proactive Incident Management

Saravanakumar Baskaran — 2025-06-18

Since organizations rely on the cloud more for important activities, keeping services running smoothly is now very important. Most legacy models are designed so teams address problems only when they happen. Often, this way of handling incidents causes businesses to lose their customers’ trust and pays higher costs for repair. Yet, improving how incidents are handled has changed the reaction of cloud services to problems. Such systems prevent small issues from developing into big challenges by using monitoring, noticing changes, and fixing them automatically. Using machine learning, designing events-driven architectures, and predictive analytics, organizations can intelligently decide, reduce human involvement, and handle situations more accurately and fast. The change from manual measures to automation greatly lowers the times needed to identify and solve issues, creating stronger cloud services.

Automated incident management systems are examined in this paper to see how they contribute to cloud service reliability by preparing for possible incidents in advance. It points out the challenges of manual incident management and shows that automation allows for continuous checking of the service, flexible resizing of resources, automatic problem-solving, and properly targeted alerts. It mainly uses success stories from AWS, Microsoft Azure, and Google Cloud Platform to show an increase in reliable system performance. Besides this, it also addresses issues such as incidents of false positives, challenges in working with mixed systems, and having ethics watch over AI-powered businesses. If organizations use proactive incident management, they can handle incidents before they happen, making the cloud environment stronger and more adaptable. The paper indicates that using automation is essential for ensuring cloud infrastructure can keep up with the digital world.