Opportunities For Integration Research Articles

Empowering Vocational Students: A Research-Based Framework for Computational Thinking Integration

Vocational Education and Training (VET) faces significant challenges in equipping individuals for modern workplaces, which increasingly require digital literacy and Computational Thinking (CT) skills. This paper addresses the imperative of integrating CT into VET programs and outlines key research questions. Our methodology primarily involves a systematic literature review, resulting in the identification of 29 relevant papers. Through qualitative content analysis, we develop a CT integration framework that connects CT practices and integration elements to the engineering design process, while highlighting the VET context. Arguably, the innovative aspect of this framework lies in its core dimensions of harnessing computational power for enhanced efficiency. Raising the question of whether computers can optimize the efficiency and effectiveness of specific tasks is paramount for addressing challenges in technology-rich environments. Therefore, this inquiry merits unwavering attention at every stage of the process. The proposed framework provides educators with a structured approach to identify integration opportunities and help prepare students for multifaceted vocational careers. Furthermore, other key findings underscore the inherently interdisciplinary nature of VET, the growing demand for STEM competencies, and the transformative potential of CT integration. Implications emphasize the need for further research, supportive policies, and practical CT integration. Despite limitations, this study strongly advocates for CT integration, empowering VET students for success in the contemporary workforce.

ТЕНДЕНЦИИ ЦИФРОВОГО НЕРАВЕНСТВА В СТРАНАХ ВОСТОЧНОЙ АЗИИ

The purpose of the article is to identify trends in the spread of digital inequality in East Asian countries (using the example of China, Mongolia, the Republic of Korea and Japan). The analysis indicates the uneven development of the digital economy within the studied geographical macroregion. Based on the analysis, it was concluded that the pandemic has become a catalyst for increasing demand for digital technologies and stimulated the processes of digital transformation. However, the uneven access to information and communication technologies (ICT) characteristic of East Asian countries has led to a further deepening of the digital divide both within the macroregion and between individual countries. In rural areas of China, Japan and Mongolia, where access to ICT is limited, the opportunities for full integration into a digital society are significantly lower than for the urban population. The Governments of East Asian countries are pursuing policies to reduce the digital divide, which indicates a possible reduction in the inequality of access to ICT in the future. Secondly, there is a gap in the quality of information and communication technology use in East Asian countries. A significant part of the population prefers to use the Internet for entertainment purposes, which does not contribute to full integration into the digital ecosystem and prevents the even distribution of benefits from digital transformation. With the increasing complexity of digital products, this gap tends to increase. Thirdly, the existing differences in economic development, educational resources and socio-cultural factors, such as, for example, age, are sources of the spread of digital inequality in the studied macroregion. This type of inequality is typical for all the countries studied. It is predicted that this inequality will increase due to the constant complexity of digital tools and deeper integration of advanced regions into digital ecosystems. It is concluded that the basis for overcoming digital inequality is to ensure access of the population of rural regions to ICT in combination with public policy measures aimed at developing the necessary skills of using digital technologies among the population.

FINANCIAL INCLUSION THROUGH TECHNOLOGY: A REVIEW OF TRENDS IN EMERGING MARKETS

Financial inclusion, the universal access to affordable financial services, has emerged as a critical component for fostering economic development, especially in emerging markets. This study presents a comprehensive review of trends in financial inclusion through technology, focusing on its transformative impact in emerging markets. In recent years, technological advancements have paved the way for innovative financial solutions, breaking down traditional barriers to access and bridging gaps in financial services. Mobile banking, digital wallets, and blockchain technologies have become instrumental tools in extending financial services to previously underserved populations. This review delves into the key trends shaping the landscape of financial inclusion in emerging markets, highlighting the role of technology as an enabler. The rise of mobile banking has been a game-changer, allowing individuals with limited access to traditional banking infrastructure to conduct financial transactions seamlessly. Digital wallets have gained prominence, offering a secure and convenient means for users to store, transfer, and receive money. Blockchain technology, with its decentralized and transparent nature, has facilitated the development of innovative financial products like cryptocurrencies, providing alternative avenues for financial inclusion. However, challenges persist, including concerns related to data security, regulatory frameworks, and the digital literacy of users. The review critically examines these challenges and explores potential solutions to ensure the sustainable growth of financial inclusion initiatives in emerging markets. Moreover, the COVID-19 pandemic has underscored the importance of resilient and accessible financial systems. The review assesses the pandemic's impact on financial inclusion trends, highlighting both the vulnerabilities exposed and the opportunities for further integration of technology in addressing economic shocks. This review contributes to the evolving discourse on financial inclusion through technology in emerging markets. By identifying trends, challenges, and opportunities, it offers valuable insights for policymakers, financial institutions, and technology innovators seeking to drive inclusive economic growth through technological interventions.
 Keywords: Finance, Technology, Emerging Markets, Financial Inclusion, Review.

Give me a break! Addressing observed structured clinical exam anxiety

What was the educational challenge? Medical students experience high rates of anxiety; frequent examinations are one contributing source. Students may perceive the observed structured clinical examinations (OSCEs) as particularly stressful. Strategies to reduce anxiety during OSCEs have not been described. What was the solution? We sought to implement and evaluate a simple, in-the-moment intervention aimed at reducing students’ OSCE-related anxiety by making stress-reducing activities available during break stations during a summative pediatric OSCE. How was the solution implemented? Three break stations were included in an end-of-rotation, summative OSCE. Students were block-randomized to either control group with standard break stations, or intervention group with stress-reducing activities available in the break room. All participants completed the State-Trait Anxiety Inventory (STAI) before and after the OSCE, and a short questionnaire after OSCE completion. What lessons were learned that are relevant to a wider global audience? Third-year medical students have high levels of stress before and after OSCEs. More than half of students in the intervention group felt their anxiety improved with activities. While the inclusion of stress-reducing activities in break stations did not impact exam performance, some students subjectively felt their performance improved. If OSCE break stations are logistically required, they can be employed to allow students to briefly relax during a high-stress exam without negatively impacting performance. What are the next steps? Next steps include exploration of opportunities for integration of stress-reducing activities during OSCEs with other learner groups, and identification of other stress-inducing aspects of medical training to provide similar opportunities.

Methodological Approach to Assessing the Current State of Organizations for AI-Based Digital Transformation

In an era defined by technological disruption, the integration of artificial intelligence (AI) into business processes is both strategic and challenging. As AI continues to disrupt and reshape industries and revolutionize business processes, organizations must take proactive steps to assess their readiness and capabilities to effectively leverage AI technologies. This research focuses on the assessment elements required to evaluate an organization’s current state in preparation for AI-based digital transformation. This research is based on a literature review and practical insights derived from extensive experience in industrial system engineering. This paper outlines the key assessment elements that organizations should consider to ensure successful and sustainable AI-based digital transformation. This emphasizes the need for a comprehensive approach to assess the organization’s data infrastructure, governance practices, and existing AI capabilities. Furthermore, the research work focuses on the evaluation of AI talent and skills within the organization, considering the significance of fostering an innovative culture and addressing change management challenges. The results of this study provide organizations with elements to assess their current state for AI-based digital transformation. By adopting and implementing the proposed guidelines, organizations can gain a holistic perspective of their current standing, identify strategic opportunities for AI integration, mitigate potential risks, and strategize a successful path forwards in the evolving landscape of AI-driven digital transformation.

Power to move through: A heuristic self-inquiry of dance movement processing within guided imagery and music

This study was a heuristic self-inquiry of the impact of dance movement therapy (DMT) sessions to process somatic and kinesthetic imagery experienced in Guided Imagery and Music (GIM) sessions. Full transcripts were taken for both DMT and GIM sessions to look for themes and intersections of how dance movement processing may have impacted or influenced the therapeutic integration of GIM sessions. There were four primary themes that emerged for how dance movement processing sessions impacted the researcher’s understanding of GIM sessions. These were reimaging with movement, moving for release of emotion, embodying transpersonal experiences, and movement as aesthetic response. Intentional re-imaging with movement allowed for a continuation of the process begun in GIM sessions, which created opportunities for emotional release and integration of self. Movement was a way of generating artistic response that helped further the researcher’s imaginal world of GIM. Personal reflections and implications for practice are given.

MODERN PRINCIPLES OF THE DEVELOPMENT OF ENOGASTRONOMIC TOURISM IN THE ODESSA REGION

Of particular importance for the territories is the development of industries that form a multiplier effect, positively influence adjacent branches of the national economy, contribute to the creation of new jobs, increase the mobility of the population, contribute to the budgets of all levels, ensuring the economic growth of the territory. Gastronomy is a significant resource and source in the formation of the uniqueness of different territories: tourists who visit destinations get to know local attractions, show interest in national cuisine, local traditions, cultural and ethnic features of food and drink preparation. The Odesa region has significant potential for the development of food and wine tourism and is one of the most promising innovative areas in the Odesa tourist market. The purpose of the publication is to study the peculiarities of the functioning of eno-gastronomic tourism in the Odesa region and its impact on the economic and social development of the region and rural areas. The article examines the essence and nature of the popularity of domestic tourism. It is noted that the development of domestic tourism in the region can be considered as a factor in the growth of the local economy, the production of a tourist product on the basis of available tourist and recreational resources, the consumption of which will contribute to the development of the regional economy. It is noted that gastronomic and wine tourism is a tool that will allow promoting little-known destinations, help revive the local economy and preserve traditions. The essence and significance of gastronomic tourism is determined and it is substantiated that eno-gastronomic tourism is gaining significant popularity, especially in regions with available resources for its development. Odesa region is one of the most favorable for the development of food and wine tourism. Specific features that will lead to the development of food and wine tourism in the region have been determined. The actual principles of the "Wine and Taste Road of Ukrainian Bessarabia", which involves the display and popularization of enogastronomic tourist routes and their importance for the development of the region and rural areas, have been defined. The development of food and wine tourism does not require significant investments, special or unique infrastructural developments. The effectiveness of the development of eno-gastronomic tourism is directly related to the ability of tourist operators to competently organize gastronomic tours, use the opportunities of integration at the regional level, adapt successful foreign experience and implement it in the domestic sphere of the tourism industry

AI in Healthcare

The integration of Artificial Intelligence (AI) into healthcare systems heralds a transformative era marked by unprecedented advancements in diagnosis, treatment, and patient care. This comprehensive review explores the multifaceted applications of AI in the healthcare domain, offering a synthesized perspective on the current state of knowledge and future implications. By examining the intersection of AI with medical imaging, predictive analytics, personalized medicine, and virtual health assistants, this research illuminates the promising trajectory of AI in reshaping the landscape of healthcare delivery. The initial segment of the review focuses on AI applications in medical imaging and diagnostics. Harnessing machine learning algorithms and deep neural networks, AI demonstrates remarkable capabilities in interpreting complex medical images, such as radiographs, MRIs, and CT scans. The paper evaluates the accuracy and efficiency of AI-driven diagnostic tools, addressing challenges and opportunities for integration into clinical workflows. Moving beyond diagnostics, the second thematic area explores the role of AI in predictive analytics for disease prevention and early intervention. By leveraging patient data, electronic health records, and genomic information, AI models contribute to identifying at-risk populations, predicting disease trajectories, and optimizing preventive strategies. The research assesses the ethical considerations and data privacy implications inherent in deploying predictive AI models within healthcare ecosystems. The third section investigates the paradigm shift towards personalized medicine facilitated by AI technologies. Analyzing patient-specific data, including genetic information and treatment response patterns, AI tailors treatment plans to individual characteristics, optimizing therapeutic outcomes. The review explores case studies and ongoing initiatives in precision medicine to showcase the tangible benefits and challenges associated with personalized healthcare. In the final thematic area, the review delves into the burgeoning field of virtual health assistants and AI-driven patient care. From chatbots offering real-time medical advice to virtual nurses monitoring patient well-being, AI enhances accessibility and engagement in healthcare delivery. The paper examines the potential for AI to improve patient outcomes, increase healthcare accessibility, and alleviate the burden on healthcare professionals. Throughout the review, ethical considerations surrounding patient privacy, algorithmic biases, and the responsible use of AI in clinical decision-making are critically evaluated. The research concludes with a forward-looking perspective, emphasizing the imperative of ongoing collaboration between healthcare professionals, technologists, and policymakers to harness the full potential of AI in fostering a more efficient, accessible, and patient-centric healthcare ecosystem

Reviewing the evolution of U. S. telemedicine post-pandemic by analyzing its growth, acceptability, and challenges in remote healthcare delivery during Global Health Crises

This study provides a comprehensive analysis of the evolution, growth, acceptability, and challenges of telemedicine in the United States, particularly in the post-pandemic era. The primary objective was to understand the impact of telemedicine on healthcare delivery, technological advancements, and policy implications. Utilizing a systematic literature review and content analysis methodology, the study sourced data from electronic databases such as PubMed, Scopus, and Web of Science, focusing on peer-reviewed articles published between 2010 and 2023. Key findings indicate that telemedicine experienced significant growth during the COVID-19 pandemic, transitioning from a supplementary healthcare service to a primary mode of healthcare delivery. This growth was facilitated by advancements in digital technologies and necessitated by the need for remote healthcare services. The study identified challenges in telemedicine, including technological barriers, regulatory issues, and concerns regarding equitable access. Despite these challenges, telemedicine has shown potential in enhancing healthcare accessibility, efficiency, and patient-centered care. The study concludes that telemedicine is poised to play a crucial role in the future of healthcare, with opportunities for further integration into routine healthcare practices. However, this requires robust regulatory frameworks, stakeholder engagement, and continued technological innovation. Recommendations for healthcare leaders and policymakers include developing comprehensive telemedicine policies and investing in infrastructure to support telehealth services. Future research directions involve exploring long-term outcomes of telemedicine interventions and its economic impact on healthcare systems.

Mathematics Learning Model Based on Computational Thinking: Preparing elementary School Students to be Disciplined, Independent, and Dignified

Objective: The research aims to evaluate the feasibility of a computational thinking-based mathematics learning model. Explore strategies for preparing disciplined, independent, and dignified students by applying the developed model in elementary schools.
 
 Theoritical Framework: Computational Thinking (CT) is becoming a fundamental part of the way people think and understand the world. Mathematics offers fruitful opportunities for CT integration. Integrating mathematics with CT, allows students to acquire essential critical thinking and problem olving skills.
 
 Method: The type of research in this article is qualitative evaluative. The research subjects were the principal, math teachers, and students of Klaten Elementary School in Central Java. Data collection methods were observation, interview, and documentation. Data validity with source and method triangulation. Data analysis techniques are flow model and constant comparison.
 
 Results and Conclusions: The results of the research, the CT-based mathematics learning model is feasible based on the assessment of material, design, and language experts, and can improve learning activities and outcomes. Preparing students to be disciplined, independent, and dignified, based on strong religion, core character, lifestyle character, character respect for others. This means that CT-based mathematics learning is feasible to implement in elementary schools and can prepare students to be disciplined, independent, and dignified.
 
 Significance: The research findings have a significant impact on primary schools. The impact is to improve the quality of character, learning process, thinking, and learning achievement. This means that the research results have a broad role in the development of primary school students.

Bridging the gap between the water-energy-food nexus and compound risks

Abstract The water-energy-food (WEF) nexus is a concept and approach to examine the interactions of water, energy, and food resources. Similarly, compound risks are a set of risk types that consider multiple connected factors that amplify risks. While both concepts are promoted as approaches to move beyond silos and address complex problems in environmental governance, there has been limited exploration of their overlap. Our study integrates these two approaches for more holistic assessment and management of resources in the context of climate risks. We examine the connections between the WEF nexus and compound risk in two ways. First, we review the literature to identify previous conceptual connections between the WEF nexus and compound risks. Second, we review seven case studies with WEF nexus interactions and compound risks to identify how the two approaches might be considered in practice. Our results demonstrate that there is limited, though not non-existent, integration of the two concepts in both the theoretical literature and in the case studies. The four of the seven cases that do show some level of connection in practice demonstrate opportunities for greater integration in the future, such as leveraging the water sector as a bridge to address WEF nexus and compound risk challenges together.

Abstract B113: Characterization of the epigenomic landscape of the human pancreas and early pancreatic neoplastic lesions

Abstract Study of early pancreas neoplasia in humans had previously been limited by lack of available tissue. Recent work by our group on deceased donor pancreata identified pancreatic intraepithelial neoplasia (PanIN) lesions in non-diseased organs and defined a transcriptomic signature for the microenvironment of these pre-cancerous lesions. Prevalence of PanINs in healthy human tissue was higher than expected and established a novel model to expand understanding of the complex biology of these precursor lesions. Epigenetic changes in chromatin structure and the subsequent effects on gene expression are essential processes in neoplasia that have yet to be described at the single cell level in the human pancreas. We hypothesized that characterization of the epigenomic landscape in donor pancreata would identify differences in chromatin structure and gene expression between healthy human tissue and PanINs, thereby expanding prior knowledge and identifying novel targets of study in the biology of early neoplasia in the pancreas. Single nuclei from five donor pancreata (six total samples including one replicate sample from a single donor pancreas) were isolated for transposase-accessible chromatin preparation followed by high-throughput sequencing (ATAC-seq) using the 10x Genomics platform. Data analysis was conducted using CellRanger, Seurat, Signac, and AUCell to identify and label chromatin peaks in individual nuclei corresponding to acinar, ductal, and PanIN origin according to gene signatures identified by scRNA on matched pancreata (Carpenter et al 2023, Cancer Discovery). Using this method, cells corresponding to these gene signatures, including PanIN-like cells, were indeed identified in preliminary analysis. Differentially accessible regions of the genome were then analyzed for motif enrichment between these cell types. Motifs enriched in cells identified as PanINs compared to either ductal or acinar cells included several transcription factors implicated in tumorigenesis, including members of the AP-1/Fos/Jun family and multiple zinc-finger protein family members, such as the KLF. These results are similar to previously demonstrated essential factors in pancreatic neoplasia. Differentially expressed motifs between ductal and acinar cells included factors associated with differentiation, including Myod1, Ptf1a, and the TCF family of transcription factors. Together, this study demonstrates that PanINs can be identified in human pancreas tissue by ATAC-seq and that differentially expressed motifs can be identified this model, providing opportunity for further integration with transcriptomic information to elucidate detailed understanding of early neoplasia in the pancreas. Citation Format: Jamie N. Mills, Joyce Thompson, Jacqueline Morales, Padma Kadiyala, Ahmed M. Elhossiny, Howard Crawford, Eileen Carpenter, Marina Pasca di Magliano, Filip Bednar, Simone Benitz. Characterization of the epigenomic landscape of the human pancreas and early pancreatic neoplastic lesions [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr B113.

Review Paper: “Quality Control and Assurance Strategy for Improved Operational Logistics”

Abstract - his project explores the implementation of a robust Quality Control and Assurance (QA/QC) strategy within operational logistics to enhance efficiency and elevate the overall quality of services. Through a comprehensive analysis of end-to-end logistics processes, we identified key areas for improvement, including bottlenecks in workflows, gaps in standardized procedures, and opportunities for technology integration. The strategy involves the adoption of real-time monitoring technologies, the development of standardized operating procedures, and the establishment of a continuous improvement culture. Training programs for employees and closer collaboration with suppliers are integral components, ensuring that the workforce is equipped to implement and adhere to quality standards. The project emphasizes the importance of data analytics for informed decision-making, regulatory compliance, and risk management. By adopting a phased roadmap for technology integration, the strategy aims to optimize logistics operations while minimizing disruptions. Regular audits, customer feedback mechanisms, and the definition of key performance indicators (KPIs) ensure ongoing evaluation and adherence to quality standards. This comprehensive QA/QC strategy, tailored to the organization's needs, is poised to drive efficiency, reduce errors, and enhance overall customer satisfaction in the operational logistics landscape.

KÜLÖN? EGYÜTT? MERRE TOVÁBB?

In the history of special education in Hungary, after the establishment and successful operation of segregated special education institutions with a long history, public education has come to many forms of co-education, the paths of which are still not unhindered. These problems point to the need for many changes in the way the education system works. Without constant and permanent development of teachers and innovative innovations in learning methods, success can hardly be expected. But there are other important issues to be addressed. The present study focuses primarily on the direction in which trends can be found in the light of the past. While exploring the current issues, we would like to provide a new framework for interpretation by highlighting and linking some of the results of two recently completed studies (Szabóné, 2022; Trembulyák, 2022) and by placing them in the context of the topic of the study. The study also aims to draw attention to the current trend that the school life of pupils with special educational needs who have participated in co-education at the primary level becomes more difficult as they progress to secondary education. This can significantly reduce not only their career choices but also their opportunities for successful social integration.

ARE HUMAN RIGHTS THE RIGHTS WE HAVE?

In the last years, due to a serious humanitarian crisis, over seven million Venezuelans have left their country, and many are moving to Brazil as their migration destination. For Venezuelan families, education represents an opportunity for integration and inclusion in the host society. However, Venezuelan students in highschool face several obstacles in preparing to take the ENEM, a national exam of access to higher education in Brazil. Based on literature about the ENEM and migrants in Brazil, as well as on ethnographic research conducted in two public schools in the state of Paraíba, this article describes the difficulties and challenges that the ENEM, specifically its essay section, imposes on Venezuelan students. The results indicate that they face significant challenges related to Portuguese language and institutional barriers. In addition, ENEM’s essay is perceived as the biggest challenge, which results from their lack of socio-cultural repertoire on Brazil. It makes the production of a dissertative-argumentative text even more difficult, as it demands reflection on Brazilian socio-cultural themes and a proposal of social intervention that respects human rights.

Interdisciplinary Approaches: Fog/Cloud Computing and IoT for AI and Robotics Integration

Fog/Cloud Computing and the Internet of Things have created intriguing opportunities for AI and robotics integration. This study examines interdisciplinary approaches that combine FCC, IoT, AI, and Robotics to construct sophisticated autonomous systems. These integrated systems may efficiently and intelligently conduct complicated tasks by using edge devices and cloud resources. Communication protocols, data management, security, and interoperability are studied in this interdisciplinary environment. Real-world case studies demonstrate the practicality and benefits of this integration. This study shows how interdisciplinary approaches will change AI and robotics integration. In conclusion, the intersection of Fog/Cloud Computing, IoT, AI, and Robotics is influencing autonomous systems. Edge devices and the cloud enable robots to become intelligent, adaptable, and essential parts of many industries. This research encourages researchers, practitioners, and policymakers to collaborate on innovation and widespread adoption of disruptive technologies. Interdisciplinary techniques are essential to maximizing AI and robotics integration and launching a new era of intelligent automation

Unlocking integration opportunities: How Dahlgren Memorial Library implemented the circulation of room keys for the Georgetown University School of Medicine rooms

Dahlgren Memorial Library, the Graduate Health and Life Sciences Research Library at Georgetown University implemented the circulation of room keys in 2007. The rooms were outside of the library and managed by Georgetown University School of Medicine’s Office of Financial Affairs who were integral in the implementation of the keys and the management of the rooms. This article will discuss the policies and procedures for circulating the room keys, downfalls and benefits, and future plans.

Sickle cell disease in Cameroon: Taking out the "neglect" and highlighting key opportunities for sustainable control.

Sickle Cell Disease (SCD) is a serious genetic disorder with astounding regional differences in childhood survival. Alarmingly, over 90% of children with SCD in SSA die before their fifth birthday. In Cameroon, approximately 7,000 children are born with SCD annually; however, most of them go undiagnosed until their fourth birthday, resulting into untold pain and suffering. Despite this, little is known about the barriers to optimal care and treatment for SCD in Cameroon. Here, we assess these barriers, and consider opportunities that could be leveraged, for a sustainable control of SCD in Cameroon. We conducted a qualitative study, with documentary analysis of key national and international policy documents related to SCD management in Cameroon; semi-structured interviews; and focus group discussions, used for data collection. Key informants were selected purposively, and met at the central level of the health system (in Yaoundé) and the operational level (Mfou health district). These were policy makers, health workers, parents with SCD children and teenagers with SCD. Several critical gaps exist which hinder SCD control in Cameroon. These include lack of a national sickle cell disease strategy, no proportional allocation of funds for SCD in the national budget, and gaps in service delivery. These are translated into healthcare providers having little knowledge on SCD, absence of SCD-specific indicators in the health information system, challenges accessing essential medicines, and limited awareness raising in communities on SCD. Still, several opportunities exist which could be leveraged for improving SCD care in Cameroon. These include the possibility of integrating SCD screening and care into well-established primary healthcare services like vaccination, antenatal care, and non-communicable disease clinics. In the light of such limited resource settings, considering opportunities for integration in existing health programs could go a long way to reduce morbidities and mortalities from SCD over the coming years.

Talent Management Model in the Context of Coopetitive Interaction and the Knowledge Economy

This article examines the talent management model in the context of the modern knowledge economy, emphasizing the importance of coopetitive interaction among business, education, and science. Effective talent management has become a critical factor in ensuring organizational development and innovation in this rapidly evolving environment. The study addresses how coopetition—a strategic combination of cooperation and competition—can enhance the effective utilization of intellectual potential across different sectors, contributing to long-term competitiveness and innovation. The authors thoroughly analysed the literature, exploring fundamental principles and approaches to talent management that are essential for developing competitive organizations in the knowledge economy. The study identifies critical challenges that organizations face in attracting, developing, and retaining talent, particularly in light of fast-paced technological advancements and the growing complexity of the labor market. Additionally, the researchers emphasize the need for cross-sector cooperation, arguing that integrating business, education, and science is pivotal for creating an innovative environment where talent can thrive. The article's central focus is coopetition, which involves a delicate balance between collaborative efforts and competitive strategies among businesses, educational institutions, and research entities. This coopetitive approach is presented to maximize the intellectual resources available within the knowledge economy, ensuring the effective development of creativity, knowledge, and innovation. Furthermore, the research addresses talent retention challenges, particularly in sectors with high demand for skilled workers. It emphasizes the importance of providing continuous opportunities for professional growth and innovation integration. The proposed talent management model is comprehensive and considers the unique aspects of the modern labor market. The model highlights the necessity for organizations to attract talent and create an environment where employees can continuously develop their skills and contribute to the organization's innovation processes. The practical implications of this study offer a framework for organizations seeking to implement effective talent management strategies that align with the needs of the knowledge economy. In conclusion, the article presents a detailed analysis of a new talent management model that promotes competitiveness and innovation through coopetitive interaction among business, education, and science. This model is particularly relevant in today’s knowledge-driven economy, where the ability to manage talent effectively plays a crucial role in organizational success. By fostering coopetition and ensuring the optimal use of intellectual potential, the proposed model contributes to developing innovative, competitive, and sustainable organizations capable of thriving in the knowledge economy.

Network for the Large-Scale Integration of Renewable Energies in Electrical Systems (RIBIERSE-CYTED, 723RT0150): Results for 2023

The RIBIERSE-CYTED network, i.e., the network for the large-scale integration of renewable energies in electrical systems (723RT0150) (2023-2026) is a hub for researchers and technologists belonging to Ibero-American universities, companies, and local administrations. This network promotes cross-training, mobility between centers, and the dissemination and implementation of technical and training activities aimed at analyzing and developing opportunities for the maximal integration of renewable resources, seeking a more sustainable energy model while allowing for the increased use of renewable resources and electric mobility (e-mobility).