Interdisciplinary Cooperation Research Articles

Impact of quantum technologies on innovation processes in the global economy

The article examines the impact of quantum technologies on innovation processes in the global economy. It analyzes the critical aspects of integrating quantum technologies in various sectors of the economy, particularly in the financial, health care, production, and IT spheres. Theoretical models and empirical data confirming how quantum technologies can accelerate innovation processes, increase research efficiency, and create new economic opportunities are considered. The article also provides practical recommendations for strategic planning and management of innovation processes in the conditions of the quantum revolution. Special attention is paid to the importance of an interdisciplinary approach and cooperation between business and the state. The author noted that the modern economy is on the threshold of a new era, where quantum technologies play a decisive role, which represents a new class of tools capable of radically changing traditional approaches to data processing, security, and computing. Quantum computers, quantum cryptography and quantum communication open opportunities for the economy that can accelerate the development of new materials, optimize logistics chains and increase the level of data security. At the same time, the article highlights the need to develop global standards in the field of quantum technologies. The results of the research will contribute to a better understanding of the potential of quantum technologies to stimulate innovation and increase the competitiveness of the economy. Keywords: quantum technologies, global economy, innovation processes, quantum cryptography, quantum computing, quantum modeling, quantum communication, economic models, quantum algorithms, cyber security, logistics optimization, risk management, economic growth, financial markets, health care, production, quantum networks, development strategies, digital economy, technological revolution.

Competition between alien and native species in xerothermic steno-Mediterranean grasslands: Cenchrus setaceus and Hyparrhenia hirta in Sicily and southern Italy

AbstractPerennial dry grassland communities, vital for plant biodiversity conservation in the Mediterranean, often harbor rare and endangered species. However, these habitats face threats, including the invasion of alien species. Cenchrus setaceus, a highly invasive grass, is spreading in the Mediterranean region. Historical records and observations document its establishment and invasiveness across various Italian regions. This study investigates the impact of C. setaceus on native grasslands dominated by Hyparrhenia hirta. We assessed the impact of C. setaceus invasion on plant biodiversity in Sicily and southern Italy, and we identified and characterized plant species’ composition using Ellenberg indicator values. The intention to analyze species richness, diversity, and ecological indicators is also emphasized. Starting from the use of the phytosociological method, multivariate analysis and Ellenberg indicator values to assess the impact of C. setaceus on grasslands composition were considered. There are several similarities and differences in diversity, floristic composition, and ecological traits between the two grassland types. A deep comparison with central European studies and evaluation of the impact of C. setaceus on species richness and community dynamics in Mediterranean habitats were concluded. Although C. setaceus is invading native grasslands, it does not drastically reduce species richness. The ecological implications of the invasion are explored, urging ongoing monitoring and collaborative efforts for effective conservation. The importance of interdisciplinary cooperation is highlighted to address the threat of invasive species and sustain the biodiversity of Mediterranean grasslands.

Multi-Sensor Image and Range-Based Techniques for the Geometric Documentation and the Photorealistic 3D Modeling of Complex Architectural Monuments.

The selection of the optimal methodology for the 3D geometric documentation of cultural heritage is a subject of high concern in contemporary scientific research. As a matter of fact, it requires a multi-source data acquisition process and the fusion of datasets from different sensors. This paper aims to demonstrate the workflow for the proper implementation and integration of geodetic, photogrammetric and laser scanning techniques so that high-quality photorealistic 3D models and other documentation products can be generated for a complicated, large-dimensional architectural monument and its surroundings. As a case study, we present the monitoring of the Mehmet Bey Mosque, which is a landmark in the city of Serres and a significant remaining sample of the Ottoman architecture in Greece. The surveying campaign was conducted in the context of the 2022-2023 annual workshop of the Interdepartmental Program of Postgraduate Studies "Protection Conservation and Restoration of Cultural Monuments" of the Aristotle University of Thessaloniki, and it served as a geometric background for interdisciplinary cooperation and decision-making on the monument restoration process. The results of our study encourage the fusion of terrestrial laser scanning and photogrammetric datasets for the 3D modeling of the mosque, as they supplement each other as regards geometry and texture.

Research on the Development Path of College Aesthetic Education in the New Era

The research on the development path of college aesthetic education in the new era aims to explore how to promote the development of college aesthetic education under the current social background. Based on cultural cognition, art education, social needs and educational theories, this research deeply analyzes the current status and existing problems of aesthetic education in colleges and universities through literature review and empirical research. In the research, we found that aesthetic education plays an important role in improving students' comprehensive quality, expanding talents' cultivation vision and promoting cultural innovation, but it also faces many challenges, such as insufficient educational resources, imperfect teaching staff and single teaching content. In order to solve these problems, this study puts forward a series of development paths and suggestions, including promoting interdisciplinary cooperation, building diversified teaching contents, cultivating high-level art education teachers, and advocating the concept of full participation in aesthetic education. Through these measures, we hope to provide effective guidance for the development of aesthetic education in colleges and universities in the new era, promote the overall improvement of students' aesthetic ability, promote the development of art and humanities in higher education, and make positive contributions to the construction of social culture.

Interprofessional cooperation with a dermatovenerologist - specifics of hidradenitis suppurativa management in gynaecological practice.

Hidradenitis suppurativa is a chronic immune-mediated inflammatory disease that is manifested by formation of painful nodules, abscesses and suppurating fistulas, primarily in the intertriginous spaces. This painful, often under-diagnosed disease affects much more women. They are also exposed to certain specific challenges in the management of this disease, especially during menstruation or pregnancy. The treatment requires the interdisciplinary cooperation of a dermatologist, gynaecologist, obstetrician and last but not least an algesiologist and psychotherapist. Above all, early and correct diagnosis, initiation of therapy in the early stages of the disease, is a key, which also plays a fundamental role in controlling inflammatory activity, preventing complications and further prognosis.

Prototypes as catalysts for cross-disciplinary collaboration: Viewpoints from applied food research and innovation

BackgroundPrototypes play a central role in applied food research and innovation (R&I), serving as the initial representations of new products, process, or project ideas. They function as "boundary objects", facilitating interdisciplinary dialogue, knowledge creation, and cooperation. Despite their significance, challenges arise due to the differing perspectives and creative behaviors of scientists in this field. This commentary addresses the question of how prototypes can foster collaboration across disciplines in applied food R&I. Scope and approachOur study explores the application of prototypes within the disciplines of innovation management, consumer and sensory science, and food science and technology. We provide an overview of the diverse roles of prototypes in the R&I process and elucidate their function of bridging interdisciplinary gaps and facilitating knowledge exchange. Furthermore, we analyze the use of prototypes across those disciplines, emphasizing their role as communication facilitators and mutual learning tools. Key findings and conclusionsWhile prototypes are indispensable in applied food R&I, they are predominantly employed in distinct phases according to the discipline, with a lack of interdisciplinary collaboration. However, we observed that prototypes often serve similar purposes across disciplines. Thus, we propose a wider integration of prototyping into research processes, to facilitate communication, improve mutual learning and knowledge exchange, and make research outputs easily transferable. Experienced facilitators should holistically manage diverse prototypes, fostering an iterative project model that transcends disciplinary boundaries. Our commentary emphasizes the transformative potential of prototypes advocating for their informed usage across disciplines to advance cross-disciplinary collaboration and align research outcomes with societal needs, thus supporting responsible applied food R&I.

Towards achieving the sustainable development goals: a collaborative action plan leveraging the circular economy potentials

This contribution to the journal “Gruppe. Interaktion. Organisation. (GIO)” delves into the critical role of Sustainable Development Goal 17 (SDG 17), “Partnership for the Goals,” in fostering interdisciplinary collaboration to further circular economy objectives. Aiming to address the existing research focus on isolated technical aspects within the circular economy, this study uses an expertise- and interaction-based foresight process to integrate perspectives from business, engineering, social sciences, and work and organizational psychology to unearth broader, interconnected challenges and solutions for the implementation of circular economy practices. Based on the pooled experience of experts within the foresight process, this contribution elucidates major challenges, ongoing issues, and prospective hurdles to be tackled by 2030 in circular economy, presenting an action plan centered on interdisciplinary cooperation and stakeholder engagement to advance labor conditions and continuous learning, sustainable and regenerative systems, minimize waste, and optimize resource efficiency. The collaborative action plan serves as a pivotal resource for the transformation task for researchers and practitioners, offers insights and strategic directions for implementing circular economy practices, and emphasizes collective responsibility and action in achieving global sustainability, all while aligning with the principles of SDG 17. The presented collaborative approach propels the discourse on sustainability forward, highlighting the potential of the circular economy in realizing a more sustainable world by 2030.

Carcinoid syndrome with right-sided valve involvement - a case report and review of the literature.

The survival of patients with neuroendocrine tumors has substantially improved with modern treatment options. Although the associated carcinoid syndrome can be diagnosed early and controlled effectively, cardiologists still encounter patients with cardiac manifestations, particularly among individuals with persistently high levels of vasoactive mediators. Treatment options have been limited to surgical valve replacement in fully manifested disease. Since surgery is not always feasible, transcatheter valve implantation is becoming an interesting alternative. A case of a 50-year-old woman with carcinoid syndrome and right-sided valvular heart disease is presented. Moderate pulmonary valve stenosis and severe tricuspid valve regurgitation were diagnosed during the evaluation and treatment of neuroendocrine tumor. The possibility of rare valve involvement and the need for interdisciplinary cooperation in the diagnosis, monitoring and treatment of patients with neuroendocrine tumors producing vasoactive substances must be emphasized. The patient had a typically presenting carcinoid syndrome with a rare cardiac manifestation. Although monitoring and treatment were carried out in accordance with recommendations and appropriate to the clinical condition, rapid progression of the metastatic disease ultimately precluded invasive cardiac intervention.

Recommendations for the Management of Initial and Refractory Pediatric Status Dystonicus.

Status dystonicus is the most severe form of dystonia with life-threatening complications if not treated promptly. We present consensus recommendations for the initial management of acutely worsening dystonia (including pre-status dystonicus and status dystonicus), as well as refractory status dystonicus in children. This guideline provides a stepwise approach to assessment, triage, interdisciplinary treatment, and monitoring of status dystonicus. The clinical pathways aim to: (1) facilitate timely recognition/triage of worsening dystonia, (2) standardize supportive and dystonia-directed therapies, (3) provide structure for interdisciplinary cooperation, (4) integrate advances in genomics and neuromodulation, (5) enable multicenter quality improvement and research, and (6) improve outcomes. © 2024 International Parkinson and Movement Disorder Society.

Cryptocurrency Adoption and Financial Innovation

The advent of cryptocurrencies and blockchain technology has sparked a revolutionary Shift in the financial sector. This study sets out on a wide-ranging investigation to understand the nuanced dynamics, repercussions, and potential future paths of this shifting environment in the UK and USA. The primary goals of the research are to examine how cryptocurrencies affect financial markets and conventional banking systems; to examine how blockchain technology might be used in the financial sector; to assess policy and regulatory considerations; and to predict and plan for the future. This research digs into how cryptocurrencies have revolutionized the banking and finance sectors. Analysis of adoption rates, market volatility, and integration methods sheds light on the changing position of cryptocurrencies in investment portfolios, reconfiguration of asset classes, and coping mechanisms of conventional financial institutions. When looking at the financial sector as a whole, the transformational potential of blockchain technology becomes clear. The advent of DeFi, smart contracts, and asset tokenization offers new prospects to improve financial transactions, increase transparency, and broaden participation in the investment market. The research analyzes cryptocurrencies and blockchain technology from a policy and regulatory perspective. The delicate balancing act between stimulating innovation and guaranteeing consumer protection, market integrity, and financial stability is highlighted by a comparison of the regulatory methods adopted in the United Kingdom and United States, as well as proposals from international organizations. The research identifies potential future paths for these technologies and their implications. Opportunities and challenges that will influence the future of finance emerge, with a focus on central bank digital currencies (CBDCs), sustainable blockchain solutions, and interdisciplinary collaborations. As this deep dive comes to a close, the transformational power of cryptocurrencies and blockchain technology is highlighted. It sheds light on the forces that are altering the structures of the world’s financial markets, conventional banking structures, and regulatory frameworks. The findings and critical assessment stress the need for well-considered choices, ethical innovation, and interdisciplinary cooperation in order to succeed in an ever-changing environment. To further democratize access, improve transparency, and reshape the economic fabric of our planet, the future of finance resides at the confluence of tradition and innovation, where cryptocurrencies and blockchain technology exist. Cryptocurrency adoption has catalyzed changes in consumer behavior and investment patterns. While some view digital currencies as speculative assets, others embrace them as alternative forms of money and store of value. This diversity of perspectives underscores the need for a nuanced understanding of cryptocurrency adoption and its implications for financial systems. The significance of this study lies in its contribution to our understanding of the evolving relationship between cryptocurrency adoption and financial innovation. By elucidating the drivers, challenges, and implications of this phenomenon, policymakers, industry stakeholders, and researchers can make informed decisions to harness the transformative potential of digital currencies while mitigating associated risks. Cryptocurrency adoption and the financial innovations it has spurred are transforming the way we think about money and financial services. While challenges remain, the potential benefits of a more decentralized, efficient, and inclusive financial system are significant. As the technology matures, regulatory frameworks adapt, and user confidence grows, cryptocurrency adoption is likely tocontinue its upward trajectory. Cryptocurrency adoption and its associated financial innovations have the potential to usher in a paradigm shift in the way we manage and exchange value.

Direct Tax Reforms of India: History and Evolution

In the Indian context, this study looks at a number of aspects of revenue mobilisation, taxpayer behaviour, and tax administration. The study finds important patterns and connections in the dynamics of tax collecting by applying quantitative analytical techniques such a regression analysis, ratio analysis, CAGR (compound annual growth rate) analysis, and correlation analysis. The results of regression analysis highlight the impact of the economy on tax collection, showing a robust positive connection between GDP and direct tax revenue. Throughout a 22-year period, ratio analysis shows rising efficiency patterns in tax collecting processes, while CAGR analysis shows a steady increase in the taxpayer base, especially among small- and medium-sized firms and individual taxpayers. Moreover, an examination of the Tax Effort Ratio suggests that direct taxes are making a larger contribution to overall tax revenue, which is indicative of changes in the composition of income. Positive correlations between various direct tax types and overall tax revenue are revealed by correlation analysis, highlighting the interdependence of tax collecting dynamics. The study admits its limitations, which could affect the finding’s generalisation and interpret. These limitations include data limits, methodological difficulties, and contextual issues. However, the knowledge gained has significant implications for additional study areas, decision-making by managers, and policy formation with regards to improving the efficiency of tax administration, encouraging compliance with taxes, and supporting sustainable financial governance in India. In order to tackle these issues and develop proven methods for enhancing the results of tax administration and fostering equitable economic growth, interdisciplinary cooperation, involvement of stakeholders, and continuous surveillance and evaluation are advised. Keywords: Tax, Regression, CAGR, Tax Effort Ratio, Correlation, Ratio, Revenue, Income.

Construction of an innovative entrepreneurship project learning platform introducing a group recommendation algorithm for college students

This work aims to construct an innovative entrepreneurship project learning platform based on a group recommendation algorithm, which assists college students in better identifying and utilizing appropriate team resources during the entrepreneurial process. In order to achieve this goal, the genetic algorithm and probability models are introduced in the research process to improve the accuracy and personalization of group recommendations. First, the genetic algorithm is designed based on the initial population of individuals consisting of college students' diverse innovative entrepreneurship project information and personal characteristics. Individuals are iteratively optimized to find the optimal team combinations through crossover, mutation, and selection. Simultaneously, a probability model is employed to establish the group recommendation algorithm, and a large number of data samples and features are utilized for model training and prediction. Finally, the effectiveness of the proposed Genetic Algorithm-Probability Model-Group Recommendation (GAPMGR) is validated through experiments and comparative analysis. The research findings indicate that the GAPMGR method proposed has significantly improved team combination recommendations for college students' innovative entrepreneurship project learning platforms. Compared to traditional methods, the GAPMGR algorithm's group recommendation performance has improved by 4.92%, enabling more accurate matching of suitable team resources. By introducing the genetic algorithm and probability models, the innovative entrepreneurship project learning platform based on group recommendation can effectively enhance students' entrepreneurial abilities and team collaboration effects. This platform can provide personalized team resource recommendations for students, promote interdisciplinary cooperation, and facilitate the successful implementation of innovative entrepreneurship projects. In the fields of education and entrepreneurship, this work provides a valuable entrepreneurial learning tool for college students and serves as a reference for educational institutions and entrepreneurship mentors. In the field of technology, this work explores the application of the genetic algorithm and probability models in group recommendation, offering new ideas and methods for further research and application.

The Impact of Graduate Education Scale on the Innovation Capability of the Tertiary Industry

With the rapid development of the global economy and the rise of the knowledge economy, innovation capability has become a key factor determining the competitiveness of a country or region. The tertiary industry, especially the service and high-tech industries, plays an increasingly important role in driving economic growth, promoting employment, and social progress. Graduate students, as the subjects of high-level talent cultivation, their quantity and quality are directly related to the construction of the national innovation system and the development potential of the tertiary industry. Graduate education, as an important way to cultivate high-level talents, plays an irreplaceable role in enhancing national innovation ability and promoting the development of the tertiary industry. Graduate education not only focuses on the impartation of knowledge but also emphasizes the cultivation of independent research ability, innovative thinking, and interdisciplinary cooperation capability, which are essential for driving the development of the service and high-tech industries. Therefore, by vigorously developing graduate education and cultivating more high-level talents with innovative spirit and practical ability, we can provide strong talent support and intellectual protection for the development of the service and high-tech industries. This will also promote the construction and improvement of the national innovation system, further enhancing the country's competitiveness and influence in the global economy.

An Analysis of the Great Disruption of COVID-19 Pandemic

The emergence of the COVID-19 pandemic in late 2019 led to a global crisis of unprecedented scale and complexity that disrupted almost every aspect of human life. The pandemic has taken people, institutions and governments by surprise, so the impact of the virus has been profound and far-reaching. The rapid and relentless spread of the pandemic has challenged global health systems, strained economies, altered daily routines in educational settings and at work, and tested the resilience of communities worldwide. Different studies have identified vulnerabilities in the world’s ability to respond to health emergencies at the individual and societal levels. This study presents a systematic literature review and theoretical analysis of the disruptions caused by COVID-19 to help formulate strategies that encourage flexibility and resilience in the face of such complex and interconnected disruptions. The article analyzes the consequences of the COVID-19 pandemic through the prism of two main theories: the theory of situational crisis communications (type of crisis, its history, responsibility, perceived seriousness, predictable probability, crisis communications strategies, post-crisis reputation), as well as the theory of social learning (learning through observation, modeling and imitation, positive and negative reinforcement in the formation of behavior). In addition, the nature of society’s adaptation to the challenges of the COVID-19 pandemic is also considered through the prism of the theory of subversive innovations (progress in communication technologies, new methods of remote work and education, the entry of social networks into the business world, the introduction of asynchronous communication). The article summarizes the scientific progress on the following main consequences of the COVID-19 pandemic in the workplace, healthcare system, and education. The study provides recommendations on the steps that individuals, institutions and governments can take to increase readiness and ability to adapt to the next crisis (interdisciplinary cooperation, analysis of communication strategies, system analysis). The analysis conducted in the article also made it possible to outline the most promising directions for further qualitative intervention studies (in-depth case studies taking into account the specific context of regions, organizations or communities to identify effective and ineffective policies and practices; qualitative interviews with key stakeholders to understand the intricacies of decision-making in the context of the pandemic crisis); qualitative action studies (building community resilience, collaborative research efforts involving policymakers, health experts and community representatives to develop crisis response policies jointly) and quantitative studies (analysis of pandemic spread, impact of vaccination on disease control, analysis of the economic effects of the pandemic, etc.).

Engineering and Design for Sustainable Construction: A Bibliometric Analysis of Current Status and Future Trends

The purpose of this study is to investigate the state of engineering and design research for sustainable construction. It aims to report the current status and future trends within this dynamic field, combining econometric and content analysis using the Bibliometrix R encapsulation tool. This study reviewed academic journals using bibliometric analysis. We selected articles by searching the Scopus database. Primarily relevant articles were identified and screened. The dataset comprised a substantial compilation of 731 journal articles from 278 sources published between January 2000 and June 2023, which formed the basis of the in-depth analysis. The importance of sustainable construction is gradually gaining more attention, and engineering and design are the significant phases of construction. This research identifies that sustainable construction is nothing in isolation; instead, it warrants the holistic integration of multiple factors, as illustrated in the Sankey diagram. Recycling, durability, life cycle assessment, innovative materials, and energy efficiency have emerged as central themes, reflecting global concern to enhance sustainability, reduce environmental impacts, and optimize resource utilization. This study is a valuable resource for researchers, practitioners, and policymakers, offering guidelines for collaborative efforts towards sustainable development. This paper paves the way for interdisciplinary cooperation and strategic alignment among diverse stakeholders, promoting innovative approaches to sustainable construction.

Case-based Workshop: Presentation of offenders with intellectual disabilities: towards an open and inclusive treatment

AbstractLegal frameworks and the challenges for treatment and rehabilitation of offenders with intellectual disabilities Speaker: Farzaneh Saeedzadeh Sardahaee, MD, PhD, Consultant psychiatrist St. Olav University Hospital, Trondheim, NorwayLack of timely diagnostic and treatment for mild intellectual disability amongst offenders presents special challenges to clinicians and prison system alike. On the one hand, appropriate treatment for their psychiatric symptoms may not be implemented as they can be mislabeled primarily as behavioral issues. Different approaches to such perceived behavioral issues within judiciary (or prison) system and health care system is a potential conflict area. On the other hand, treatment and rehabilitation of offenders with intellectual disability require both resources and expertise that may not be readily available in prison systems, pre- or past sentencing. Furthermore, the scope of such challenges varies greatly based on different legal frameworks for sentencing offenders with intellectual disability within Europe.In the first section an overview of Norwegian legal framework for offenders with intellectual disability is briefly presented. Then using the example of a young female offender with mild intellectual disability, drug dependence and multiple psychiatric morbidities, the speaker examines complexities of dual diagnoses, inter-disciplinary and multiagency cooperation follow-up and challenges faced in the recovery process. A brief introduction to the current Norwegian follow-up system for offenders with intellectual disability is discussed before examining recent changes in legal framework for sentencing offenders with intellectual disability in Norway, and its ramifications, as well as potential benefits for treatment and future rehabilitation of offenders. Finally, the speaker reflects on points for further improvement, especially considering the multi-agency nature of treatment and rehabilitation of offenders with intellectual disability.Disclosure of InterestNone Declared

Subverting the Future of Teaching: Artificial Intelligence Innovation in Nursing Education

Artificial intelligence (AI) technologies, including machine learning, deep learning, natural language processing, generative AI, the metaverse and other iterations, are rapidly changing the landscape of education. Related technologies not only enhance the teaching and learning process but also improve the quality and availability of educational content. AI facilitates educational transformation, reshapes teaching models, and helps students achieve their personalized learning needs, thus improving learning outcomes, learning efficiencies, and teaching practices. Despite the many AI application cases in nursing management and clinical practice, the application of AI in nursing education remains in its infancy. Machine learning has been used to predict the academic performance and graduation results of nursing students, thereby facilitating the early identification of additional support needs. Natural language processing technology has been used to develop chatbots and virtual teachers to assist learning, providing personalized learning support to help students overcome learning obstacles. Also, generative AI technologies such as ChatGPT (chat generative pre-trained transformer) have been used to create simulated patient cases and as a tool for grading academic writing automatically. Moreover, the combination of generative AI technology and the metaverse has introduced new possibilities to nursing education, allowing students to learn in a more-immersive virtual environment. Despite the significant benefits brought by AI to nursing education, its implementation and integration still face multiple challenges, including high costs, the need to provide technical training to teachers, and the need to address issues such as academic integrity and data privacy. The authors hope this article will help promote interdisciplinary cooperation between nursing educators and information and communication experts and the development of AI-assisted teaching to open a new chapter in nursing education.

Interplay Between Diabetes Mellitus and the Occurrence of Osteoarthritis and Associated Conditions in Women of Menopausal Age.

Osteoarthritis (OA) and diabetes mellitus (DM) have long-term deleterious chronic effects and are among the most prevalent chronic disorders. DM and its associated factors, such as hyperglycemia, have a significant contribution to the pathophysiology of OA, particularly in post-menopausal women. Women who have uncontrolled diabetes (DM) are more prone to develop osteoarthritis (OA), which may be exacerbated by poor glycemic control. Furthermore, this category of female patients with DM has an increased risk of developing fractures, even in those with initially normal bone density scores, further illustrating the correlation between DM and bone health. Additionally, multiple risk factors, including obesity, metabolic syndrome, hypertension, estrogen-based hormone therapy, and hyperuricemia, in menopausal women can lead to the development and exacerbation of OA. It is discovered that these variables have a direct or indirect impact, frequently causing inflammation and hormonal changes, which contribute to the intricate interaction between DM and OA. The management of OA and DM in womenthus calls for a multi-faceted management plan including glycemic control, weight control, exercise, and specialized pain management methods catering to the specific requirements of the patients. Regularly screening for OA should be implemented for menopausal women with DM and utmost care should be provided by healthcare professionals. Regular monitoring of joint health and early management, encouraging interdisciplinary cooperation, putting preventative measures into place, and creating individualized treatment programs are essential. A thorough understanding of the link between DM and OA will ultimately lead to improved health outcomes and a better future for these individuals.

대학 융합전공의 활성화 방안 연구

The purpose of this study is to analyze the phenomenon of the university's convergence major and to propose implications for revitalizing the convergence major by deriving a development plan. To this end, data were collected through an online survey of students and professors at University A, and priorities were derived by applying the independent sample t-test and The Locus for Focus Model to the collected quantitative data. The main findings are as follows. First, the degree of awareness of convergence majors was higher for professors than for students, and the necessity and expectation for career development help were higher for students than professors. Second, in terms of recognition of the direction of convergence majors, “acquiring convergence knowledge linked to various academic fields and providing opportunities for convergence thinking” was the highest rate for both students and professors. In the direction of convergence major education, “taking several major subjects according to the interest and need of students” for students and “a class that enables convergence thinking” for professors appeared as priorities. Third, for the focus on convergence majors, “class to learn communication and flexibility” for students and “internal motivation immersion class” for professors were the top priority areas. Innovation in class content” was the highest for both students and professors as an innovation factor required when operating convergence majors. Fourth, the demand for effective operation and activation of convergence majors was found to be strengthening interdisciplinary cooperation and strengthening an organization dedicated to convergence education. The results of this study are expected to be used as evidence for the establishment of specific strategies for the development and activation of convergence majors in the field of university convergence education.

Big Data and Java are integrated with machine learning

This in-depth investigation explores the revolutionary nexus of Java, Big Data, and Machine Learning (ML), clarifying the innovations and synergies that result from their integration. The voyage commences with a summary of the past, following the growth from Java's fundamental function in high-level development to the revolutionary influence of Big Data frameworks such as Apache Hadoop and Apache Spark. The story then delves into the fundamentals of machine learning in Java, highlighting its adaptability, rich library support, and crucial role in building strong ML pipelines. The investigation delves into the transformative power of Big Data frameworks, highlighting the distributed file system of Hadoop and the in-memory processing capabilities of Spark. We observe the significant effects of this convergence on a variety of industries through real-world case studies, from e-commerce personalized suggestions to fraud detection in banking. The insights gained from these implementations highlight how crucial it is to use ML models with ethical considerations, interdisciplinary cooperation, and ongoing learning. The following sections cover the nuances of data preprocessing, including the use of Java in ETL workflows, scalable feature engineering using Big Data frameworks, and data quality assurance via transformation and cleansing. ML model deployment is the major focus, along with an exploration of the Java runtime environment, micro services architecture, and crucial aspects of model robustness monitoring and maintenance. The investigation concludes with a focus on case studies and success stories that demonstrate the real-world effects of this convergence in sectors like e-commerce, finance, and healthcare. These real-world examples highlight the accomplishments of companies like Netflix, Uber, Airbnb, and others and provide insightful information about how well integration works to accomplish a range of business objectives.