Scientific Talent Research Articles

To the 100th anniversary of professor Viktor Pavlovich Baskakov

The article describes the main milestones in the labor, scientific and pedagogical activities of Professor Viktor Pavlovich Baskakov, born on November 28, 1923. After graduating from the Military Medical Academy and defending his dissertation for the degree of Candidate of Medical Sciences in 1950, he was hired as a teacher in the Department of Obstetrics and Gynecology, in 1958 he was appointed to the position of associate professor, in 1970 he received the title of professor, after which in 1974 he became head of department, where he worked until 1984. Viktor P. Baskakov was the first in the country to begin studying endometrioid disease. Three of his monographs are devoted to this complex pathology: “Endometriosis” (1966), “Clinic and treatment of endometriosis” (1979, 1990) and “Endometrioid disease” (2002). In 1968, based on the published monograph “Endometriosis” by V.P. Baskakov was awarded the academic degree of Doctor of Medical Sciences without defending a dissertation. For many years, Viktor Pavlovich was a member of the presidium of the Leningrad Obstetrics and Gynecology Society, a member of dissertation councils, and the editorial board of the Journal of Obstetrics and Women’s Diseases. He was awarded the Order of the Red Star and medals, including the medal “For Military Merit” and the medal “For Victory over Germany in the Great Patriotic War of 1941–1945.” Professor Viktor Pavlovich Baskakov remained in the memory of his contemporaries as a talented scientist, teacher, and surgeon. It was difficult to find a person more concerned about the problems of others. Students remember him with a smile and great warmth.

Sustainable Scientific and Technological Talents Recommendation Method Based on Recommendation Algorithm

In today’s rapid development of global technology, the global demand for scientific and technological talents remains high. To provide a reliable talent referral channel, a talent recommendation model based on Bidirectional Encoder Representation from Transformers (BERT) and Bi-directional Long Short-Term Memory (BLSTM) was constructed. This model enables the matching of talented individuals with job opportunities. The results demonstrated that the accuracy and F1 value of BLSTM-BERT in the test set were 0.95 and 0.92, respectively. The precision rate, recall rate, F1-socre value and accuracy rate of BLSTM-CNN model were 0.96, 0.97, 0.96 and 0.97, respectively. The correct prediction rate of the talent recommendation model for the four types of talents was 1.0. It is evident that the talent recommendation model has a high accuracy in predicting talent categories and can precisely recommend necessary scientific and technological professionals for businesses.

The curriculum design in design education: An inquiry of challenges and implications in Hong Kong

The prime purpose of design education is to nurture young people and develop their artistic and scientific personalities, skills and talents. By its very nature, professional training in design is fully committed to the education and training of the creative workforce required by creative industries. It is crucial for design educators to devise and formulate relevant, responsive and quality programmes with an emphasis on sustainability at all levels of design education. It is notable that the world economy has become increasingly sophisticated. Design is a value-added component in various sectors. Design students equipped with multiple skills and capable of managing simultaneous tasks are crucial to the creative industries in this challenging world economy. This research is going to trigger further discussion and reflection among design curriculum developers, academics and policy-makers. It can also discuss the use of a total curriculum and participatory curriculum development approach to design education to provide our new design generations with a broader curriculum and learning approach for the knowledge-based economy.

A pathway towards high-quality development of the manufacturing industry: Does scientific and technological talent matter?

Against the background of the accelerated evolution of the new round of scientific and technological revolution and industrial change, scientific and technical talents, as essential innovation resources, play an important role in promoting the high-quality development of the manufacturing industry. Based on the panel data of 30 provinces in China from 2012 to 2021, the article constructs a fixed-effects model and systematically researches the impact of scientific and technological talents on the high-quality development of the manufacturing industry. The results show that scientific and technical talents play a significant role in promoting the high-quality development of the manufacturing industry, and the upgrading of the consumption structure and the accumulation of productive service industries play a mediating role. Heterogeneity analysis found that the promotion effect of scientific and technical talents is more favorable in the eastern region, medium-technology level manufacturing, and labor-intensive manufacturing. Among the three sub-dimensions of scientific and technological talents, the scale of scientific and technical talents has the most significant impact on the development of the manufacturing industry. The analysis of the spatial spillover effect finds that scientific and technological talents will have a positive spillover effect on the development of the manufacturing industry in neighboring areas. The study provides a basis for relevant departments to formulate effective strategies and policies.

Talent Incentive Policy of Chinese High-tech Enterprises from the Perspective of Industrial Informatization Intervention

Priority development of education is the fundamental guarantee for the construction of high-level talent highlands. Technological self-reliance and self-improvement are strategic support for the construction of high-level talent highlands, and talent innovation guidance is the intrinsic driving force for the construction of high-level talent highlands. The construction of a high-level talent highland in the Guangdong Hong Kong Macao Greater Bay Area requires the integration of innovative elements that connect the “education chain, technology chain, and talent chain”. It is necessary to build a three-dimensional integrated spatial architecture of “education technology talent”. We need to build a community that integrates “education highland, technology highland, and talent highland”. Accelerating the construction of high-level talent highlands in the Guangdong Hong Kong Macao Greater Bay Area requires the construction of a highland for scientific and technological innovation talents, a highland for technical and skilled talents, and a highland for scientific and technological finance talents. Based on this, this article selected 399 listed high-tech enterprises in the Greater Bay Area as the research objects, and conducted multiple regression on the relevant data of sample enterprises from the perspective of property rights heterogeneity from 2018 to 2021 to reveal which open innovation model can effectively solve specific situational problems faced by enterprises. The multi role matching mechanism can effectively improve the performance of new product development and its market competitive advantage of enterprises, as well as how the nature of property rights affects the relationship between open innovation strategies and new product development performance of enterprises. The research results show that, firstly, open innovation between enterprises is beneficial for the precise improvement of product development performance by high-level talents in enterprises. Secondly, open innovation in industry, academia, and research is beneficial for improving talent performance in enterprises, but its effect is weaker than that of open innovation between enterprises. Enterprises focus more on the open innovation model between enterprises.

Analysis of the Problems in the Cultivation and Use of Young Scientific and Technological Talents in the New Era

Analysis of the Problems in the Cultivation and Use of Young Scientific and Technological Talents in the New Era

Research and Practice on International Talent Cultivation Mode of Film and Television Photography and Production in Undergraduate Colleges and Universities

With the acceleration of globalization, the status and influence of the film and television industry in the international market are increasing. The close connection between the domestic and international film and television markets has prompted the need for universities to cultivate film and television photography and production professionals with an international outlook, innovative ability, and practical skills. However, domestic universities still face many challenges in international talent training. Therefore, it is particularly important to study and build an international talent cultivation model for film and television photography and production majors that is suitable for China's national conditions. The purpose of this paper is to explore how to improve the educational quality and international competitiveness of film and television photography and production majors in China's undergraduate colleges and universities by building an international talent cultivation model. The study will propose a set of scientific, reasonable, and operable international talent cultivation programs through the comparative analysis of the existing education modes of domestic and foreign colleges and universities and carry out practical tests. By studying and practicing the international talent cultivation model for film and television photography and production majors, it can effectively improve the education level of Chinese universities in this field, cultivate film and television talents with international vision and competitiveness, and contribute to the international development of the country's cultural industry.

Concluded project of the Ministry of Education University-Industry Collaborative Education Program: Cultivation of the Technological Innovation Ability for Young Backbone Teachers

Artificial intelligence and other new technologies not only have a wide application prospect in civil field, but also have very important application value in national defense and military field, especially in electronic countermeasures. In order to adapt the teaching ability and scientific research and innovation ability of young backbone teachers to the development of new technology, with the help of the Ministry of Education industry-university cooperation and collaborative innovation platform, local superior companies and enterprises to adopt the school-enterprise cooperation mode of industry-education integration, carry out the training of young backbone teachers in technological innovation ability. This project can improve the team members' scientific research and innovation ability and professional teaching level, and achieve a virtuous circle of joint improvement of the level of teachers, scientific research ability and talent cultivation.

Higher-order structures of local collaboration networks are associated with individual scientific productivity

The prevalence of teamwork in contemporary science has raised new questions about collaboration networks and the potential impact on research outcomes. Previous studies primarily focused on pairwise interactions between scientists when constructing collaboration networks, potentially overlooking group interactions among scientists. In this study, we introduce a higher-order network representation using algebraic topology to capture multi-agent interactions, i.e., simplicial complexes. Our main objective is to investigate the influence of higher-order structures in local collaboration networks on the productivity of the focal scientist. Leveraging a dataset comprising more than 3.7 million scientists from the Microsoft Academic Graph, we uncover several intriguing findings. Firstly, we observe an inverted U-shaped relationship between the number of disconnected components in the local collaboration network and scientific productivity. Secondly, there is a positive association between the presence of higher-order loops and individual scientific productivity, indicating the intriguing role of higher-order structures in advancing science. Thirdly, these effects hold across various scientific domains and scientists with different impacts, suggesting strong generalizability of our findings. The findings highlight the role of higher-order loops in shaping the development of individual scientists, thus may have implications for nurturing scientific talent and promoting innovative breakthroughs.

Can Infrastructure Upgrading Achieve the Synergistic Effect of Pollution Reduction and Carbon Reduction? Evidence from the High-Speed Rail and “Broadband China” Strategies

Infrastructure upgrading has an important impact on environmental protection and low-carbon development. Based on the panel data of 277 prefecture-level cities in China from 2005 to 2021, we examined the impact of infrastructure upgrading on the synergistic effect of pollution reduction and carbon reduction (Pc) by using the multiple-period difference-in-differences method. The results show that infrastructure upgrading can achieve Pc. Additionally, compared with resource-based cities, peripheral cities, and central and western cities, the impact of infrastructure upgrading on Pc is more significant in non-resource-based cities, central cities, and eastern cities. Meanwhile, infrastructure upgrading can promote Pc by promoting scientific and technological talent agglomeration (Tg) and industrial agglomeration (Ig). Finally, the policy of synergy analysis shows that compared with the single pilot cities, the dual pilot cities have a more obvious effect on Pc, and becoming first high-speed rail (HSR) cities and then becoming “Broadband China” strategy (BCS) cities has a stronger effect on Pc. Therefore, to effectively alleviate the dual environmental pressures of pollution reduction and carbon reduction, emphasis should be placed on promoting the common development of transportation infrastructure and digital infrastructure.

Exploration of the Integrated Training Model for Information Technology Teachers

With the acceleration of the social information process, information awareness and information skills have become the basic qualities of every citizen. The establishment of the training mechanism for scientific and technological innovation talents from the beginning of higher education is insufficient to meet the needs of the development of the times. It is imperative to improve the training of information technology innovation talents and explore a new training model. This paper describes the general situation of the development of education in the field of information technology from a domestic and international perspective. It then analyzes the existing problems, explores new exploration models and implementation suggestions, and puts forward prospects at the end of the paper.

Phyto Pharmaceutical Advances on Black Turmeric as a Functional Herb

Abstract: Herbal medicine is one of humanity's oldest professions, and herbal medicine's therapeutic efficacy has been recognised since the dawn of time. In many parts of India, herbal treatments have been found to be effective in the treatment of malaria, diarrhoea, jaundice, diabetes, cough, fever, snakebite, miscarriages, and gonorrhoea. Curcuma caesia is a perennial herb with bluish-black rhizomes that is native to Northeast and Central India. In antioxidant, antiinflammatory, and human tumour cell proliferation, inhibitory effects of the rhizomes of indigenous Curcuma caesia were investigated in this work. According to Research, Inc., the global curcumin market was worth USD 46.6 million, with North America being the largest regional market and India being one of the largest curcumin producers. With a revenue-based compound yearly growth rate (CAGR) of 14.8% throughout the projection period, Europe is predicted to be the fastest-growing region, with the global market. Because of expanding scientific talent and a large network of biotechnology and food chemistry applications, curcumin quality and quantity are projected to improve in the future. The study emphasizes the importance of using the bioactive components of curcuma caesia in nanotechnology, liposomes, niosomes, micelles, and cyclodextrin.

The spatial and temporal situation of China's digital technology innovation and its influencing factors.

Digital technology innovation is the core driving force for the high-quality development of the digital economy, and in-depth exploration of the regional distribution pattern and formation mechanism of digital technology innovation in China is conducive to the rational layout and coordinated development of the inter-provincial digital economy. Based on the Reference Relationship Table of the Classification of Core Industries of Digital Economy and the International Patent Classification (2023), the patent authorization data of digital technology from 2012 to 2022 were obtained, and the spatiotemporal situation of China's digital technology innovation was analyzed by using ArcGIS software, Dagum's Gini coefficient, and Moran's I index, and the spatial Dubin panel model was used to explore the influencing factors of digital technology innovation. It is found that: (1) the scale and vitality of China's digital technology innovation have increased significantly, and there are obvious spatial differentiation characteristics, and the innovation level of "eastern coastal-central and western interior" is decreasing, forming a cluster distribution pattern in the Yangtze River Delta region, Beijing, Guangdong, and other places, and the degree of agglomeration is decreasing. (2) The overall regional differences in China's digital technology innovation are large, the differences between the East and the West dominate the interregional differences, and the net differences between regions are the main factors leading to regional differences. (3) There is a significant positive spatial correlation between the scale and vitality of digital technology innovation, which has a significant spatial spillover effect. (4) The results confirm that the level of economic development, digital access, financial scientific and technological support, technology market development level, and R&D intensity have a significant positive impact on the scale and vitality of digital technology innovation; The investment in scientific and technological talents has a significant positive impact on the scale of digital technology innovation, but has no significant impact on the vitality of digital technology innovation.

Brain drain: Mitigatory strategies for a critical issue affecting Italy since over 50 years

Brain drain, a profuse haemorrhage of brilliant female and male minds, is known to affect Italy and the overall Italian Society since over 50 years. Its obvious consequence is the alarming and persistent loss of scientific, educational and creative talents who, after getting graduated in one of our public Universities, leave the Country in search of more appealing, rewarding and successful professional and scientific opportunities abroad, thereby substantially contributing to make more prosperous the economy and the society of the Nations hosting them, with special emphasis on European Union (EU) Countries.

Наукова творчість професора Сергія Копилова: віхи, напрями досліджень, надбання (До 60-річчя від дня народження)

The article aims to clarify the formation of Professor Serhii Kopylov's personality as a talented scientist, his multifaceted scientific work, and its significance in Ukrainian historiography in the study of the problems of historiography, source studies, biography, philocarty, and local history. The methodological basis of the study consists of the principles of objectivity, historicism, systematicity, and comprehensiveness, as well as the ideas of the schools of Annals, New Social History, and the genius of A.D. Toynbee. The research methods used include the following: comparative-historical analysis, logical analysis, prospective analysis, chronological analysis, narrative analysis, scientific source criticism, periodization, and actualization. The scientific novelty lies in the attempt, made for the first time in historiography, to analyze the main areas of the scientist's research and, on this basis, to reconstruct a comprehensive picture of his scientific work and to determine its scientific value. Conclusions. The analysis of Serhii Kopylov's work has given grounds to distinguish the following four stages: Stage 1 (1963-1985) - the genesis of the personality traits of an intellectual from childhood to the end of his studies at the Faculty of History of Taras Shevchenko National University of Kyiv and his first steps in the field of historical research. His thesis became his first notable success in student research: it won first place in competitions of student research papers in the fields of history and later humanities, for which he was awarded a gold medal in 1986 by the Presidium of the Academy of Sciences of the Ukrainian SSR; the formation of professional skills characterized the 2nd period (1985-1997). This period was characterized by the formation of professional competencies of a historian-scientist (completion of postgraduate studies, defense of the PhD thesis at the end of 1988) and refocusing scientific interests from the study of Bulgarian studies to the problems of Ukrainian Slavic studies. The 3rd period (1998-2006) was marked by an intensive process of developing the talent of a researcher-analyst and improving his professional qualities, thus transforming into a well-known Ukrainian scholar of Slavic studies, as evidenced by the publication of dozens of articles, the monograph "Problems of the History of Slavic Peoples in the Historical Thought of Ukraine" (2005), and the defense of his doctoral dissertation "Ukrainian Historical Slavic Studies of Modern Times: Origins and Stages of Development" (2006); the 4th period (2007-2023) was marked by the flourishing of scientific creativity, which was based on the study of biography, history, source and local history, and philology. Serhii Kopylov's scientific achievements include more than 330 publications, including five monographs and eleven manuals and textbooks. His study made it possible, firstly, to recreate the integrity of the picture of the jubilee's scientific work, which is an organic combination of various objects of research; secondly, to identify its main directions, in which the author was able to achieve the most significant results: Ukrainian historical Slavic studies of modern times, biography, historiography, source studies, local history, and philocarty; thirdly, to reveal the decisive role in the development of methodological foundations of scientific creativity of the irrevocable break with the postulates of Soviet/Russian methodology that took place in the second half of the 90s XX century - the first half of the zero years of the XXI century.

Ethical Criteria for Decision-Making within Healthcare Organizations

The personal and professional decision-making process is omnipresent, comprising choices from the trivial to the profoundly transformative. These judgments might be made unconsciously in personal or explicit professional situations. Ethics are crucial to professional decision-making, especially in healthcare organizations (HCOs). This is crucial in healthcare because even little departures from norms may harm patients. This paper aims to examine salient research on ethical criteria in decision-making within HCOs and underline pivotal factors to ensure ethically sound decision-making in these settings. This analysis employed a literature review methodology. Organizational management requires decision-making to meet patient demands and improve community health. An educated investigation, a clear flow chart, and a well-structured ethical approach may lead to better answers and morally sound decisions. Establishing an HCO ethical committee may also prevent hasty choices by following a procedure. It also allows post-hoc decision evaluation to measure robustness and influence on stakeholders, including health providers. This examination may discover decision flaws and risks, helping resolve ethical difficulties. Executives to staff members make ethical decisions in HCOs, which vary by scientific subject, experience, talents, and company culture. Maintaining ethical standards in decision-making is a complex and continual undertaking that requires a thorough grasp of many aspects.

Research on the construction of evaluation system for high-level scientific and technological talents based on big data analysis

Abstract This paper analyzes the three-level inclusion relationship of high-level innovative talents and combs the structure of high-level scientific and technological talent evaluation models based on big data technology. Aiming at the evaluation problems of high-level scientific and technological talents, a fuzzy neural network model is constructed, and at the same time, the R&D middle school effect is utilized to evaluate the innovation achievements of high-level scientific and technological talents. Construct the evaluation index system of high-level scientific and technological innovative talents by utilizing 6 first-level indexes, 14 second-level indexes and 48 third-level indexes. Create a hierarchical analysis structure model, evaluate the indicator data through a judgment matrix and consistency test, and output the indicator weights. Analyze the relevance of the indicator model for different input layer neurons in fuzzy hierarchical analysis through comparative experiments. Use empirical analysis to analyze the innovative evaluation scores of high-level scientific and technological talents in Group A. The experimental results show that when the input layer contains 48 neurons, the loss value ranges from [0.132,1.765], the loss decreases the fastest, the stronger the indicator correlation, the stronger the generalization ability of the fuzzy neural network regression model. The overall scores of the evaluation of high-level scientific and technological talents of Group A for the first and second-level indicators are 3.54 and 3.869, respectively, and the overall view of Group A’s high-level scientific and technological talent innovative ability is better. Good.

Research on the spatiotemporal evolution and driving mechanism of coupling coordinating between green transition of urban land use and urban land use efficiency: a case study of the Yangtze River Delta Region in China.

Analyzing the spatiotemporal characteristics and driving mechanisms of the coupling coordination between the Green Transition of Urban Land Use and urban land use efficiency can help explore the future development direction of sustainable land use in cities. This paper constructs a theoretical framework for the coupling coordination between Green Transition of Urban Land Use and urban land use efficiency. We use several models, including the super-efficiency slack-based model, the coupling coordination degree model, the non-parametric kernel density estimation method, exploratory spatial data analysis, and the geographically and temporally weighted regression model to examine the real level of Green Transition of Urban Land Use and urban land use efficiency in the Yangtze River Delta region from 2003 to 2020. Based on this, we investigate the spatiotemporal evolution characteristics and driving mechanisms of the two coupling coordination processes. The study found that (1) from 2003 to 2020, the overall trend of the coupling coordination between Green Transition of Urban Land Use and urban land use efficiency in the Yangtze River Delta region tended to be coordinated and developed, but still at a primary coordination level, with sufficient room for improvement in the future. (2) The coupling coordination level of each city in the Yangtze River Delta region from 2003 to 2020 showed obvious spatial non-equilibrium and correlation characteristics, and overall dynamic polarization effects were exhibited during the study period; the spatial pattern of high-value areas showed a regularity of prioritizing Shanghai and Zhejiang Province, gradually penetrating into Jiangsu Province and Anhui Province. (3) Economic and social factors have a positive influence on the degree of coupling coordination; natural factors and policy factors have a predominantly negative influence on the degree of coupling coordination. Research conclusions include establishing a regional collaborative development mechanism, utilizing the spatial spillover effect of leading cities; emphasizing science, education, and culture, strengthening the introduction of scientific and technological talents, increasing fiscal inputs, raising the level of economic development, and further expanding the driving effect of economic and social factors; and optimizing the layout of urban and rural construction land, developing urban land in an orderly manner, appropriately strengthening environmental regulation, thereby suppressing the negative effects caused by natural and policy factors.

Does the Belt and Road Initiative promote international innovation cooperation?

International innovation cooperation is crucial to the enhancement of national technological innovation capabilities in the context of globalization. Does the Belt and Road Initiative (BRI), as a major international initiative, promote innovation cooperation between China and BRI partner countries? Taking the top 80 global countries in innovation capability as the research sample, this paper uses the DID method to answer this question. The empirical results show that the BRI indeed promoted innovation cooperation between them to a certain extent. Specifically, it significantly increased the proportion of their cooperative patents in China’s total patents, and the promotion effect was more obvious for countries with better economic foundations. Furthermore, the mechanism tests indicate that shortening the institutional distance, strengthening the exchange of scientific and technological talents, and stimulating cultural differences were important mechanisms promoting their innovation cooperation. Although the BRI did not significantly increase the proportion of cooperative patents in BRI partner countries’ total patents, it effectively improved their innovation foundations and capabilities.

Postdoctoral mentorship needs a reform

To retain talented scientists in academia, there is a need for structural reform to postdoctoral researcher (postdoc) mentorship. These changes include mentorship training for postdocs and their mentors, formalizing postdoc mentorship networks and postdoc cohorts within a department, and incorporating mentorship development plans (MDPs) in funding decisions for principal investigators (PIs).