Scientific Research Production Research Articles

Applications of Machine Learning in Real-Time Control Systems: A Review

Abstract Real-time control systems(RTCS) have become an indispensable part of modern industry, finding widespread applications in fields such as robotics, intelligent manufacturing and transportation. However, these systems face significant challenges, including complex nonlinear dynamics, uncertainties and various constraints. These challenges result in weakened disturbance rejection and reduced adaptability, which make it difficult to meet increasingly stringent performance requirements. In fact, RTCS generate a large amount of data, which presents an important opportunity to enhance control effectiveness. Machine learning, with its efficiency in extracting valuable information from big data, holds significant potential for applications in RTCS. Exploring the applications of machine learning in RTCS is of great importance for guiding scientific research and industrial production. This paper first analyzes the challenges currently faced by RTCS, elucidating the motivation for integrating machine learning into these systems. Subsequently, it discusses the applications of machine learning in RTCS from various aspects, including system identification, controller design and optimization, fault diagnosis and tolerance, and perception. The research indicates that data-driven machine learning methods exhibit significant advantages in addressing the multivariable coupling characteristics of complex nonlinear systems, as well as the uncertainties arising from environmental disturbances and faults, thereby effectively enhancing the system's flexibility and robustness. However, compared to traditional methods, the applications of machine learning also faces issues such as poor model interpretability, high computational requirements leading to insufficient real-time performance, and a strong dependency on high-quality data. This paper discusses these challenges and proposes potential future research directions.

Formate Salts: The Rediscovery of Their Radical Reaction under Light Irradiation Opens New Avenues in Organic Synthesis

AbstractFormates are abundantly available and inexpensive commodity chemical, widely used in laboratory and industrial organic synthesis. Formates are promising hydrogen carrier and green C1 source, and have also been a subject of research as SET reductants in recent years. Compared to the toxic and flammable gas carbon monoxide, which also serves as a C1 source, formates are easier to handle, store, and transport, and are more environmentally friendly. Therefore, in recent studies of radical reactions, formate is not only as an ideal source of green carbonyl, which is of great significance to synthesize carboxyl compounds with various structures, but also as a SET reductant for editing organic molecules either in scientific research or industrial production. The activation and conversion of formate, as a source of C1 or a SET reductant, is a very challenging and hot research field in organic synthesis.

The Three-Dimensional Model as a ‘Scientific Fact’: The Scientific Methodology in Hypothetical Reconstruction

For more than thirty years, 3D digital modelling has been used more and more widely as a research tool in various disciplinary fields. Despite this, the 3D models produced by different research, investigation, and speculation activities are still only used as a basis and as sources for the production of images and scientific contributions (papers in journals, contributions in conference proceedings, etc.) in dissemination and cultural activities, but without having yet assumed full autonomy as a ‘scientific fact’, as a product of research, or as a means of scientific debate and progress. This paper outlines the context in the field of architecture and archeology in which the use of 3D models has become increasingly widespread, reaching a level of full maturity, and how the field of hypothetical reconstruction can be characterized as an autonomous/scientific discipline through the definition and adoption of a scientific, transparent, verifiable, reusable, and refutable method. In this context, the definition of the 3D model as a product of scientific speculation and research is proposed.

Software tools for organizing cloud computing in psychophysiological research based on eyetracking data

The architecture and web version of the software complex have been developed, which significantly expands the diagnostic capabilities of model-oriented information technologies for the assessment of the neurophysiological state. The complex provides cross-platform cloud computing, increases the productivity and efficiency of scientific research, using methods of non-parametric identification of the oculomotor system based on eyetracking data, which is achieved thanks to a new concept of cloud computing organization. Cloud computing technology has been further developed thanks to the proposed concept that combines the principles of PaaS (Platform as a Service) and SaaS (Software as a Service). The key feature of this software complex is its undemanding hardware on the client side thanks to the use of cloud computing, and its modular structure, which allows it to be easily scaled. Compared to other similar services, the complex has several advantages: it provides effective work in research and educational areas, supports several programming languages for improving algorithms, and also allows the use of ready-made identification methods through specially developed GUI interfaces. In addition, it offers social capabilities and a high level of abstraction that optimizes the research process.

Scientific research productivity in urology: A 20-year bibliometric analysis in Latin America

Introduction and objectivesThe knowledge generated by scientific research is linked to the development of countries, as it provides the necessary resources to guarantee scientific progress and cost-effective healthcare. For this reason, our study analyzes the trends of scientific publication in urology in Latin America. MethodsA bibliometric analysis was performed. Data collection was carried out using the SCOPUS search engine in April 2023, and the search terms were defined by the authors, including the most common diseases in the specialty of urology. A descriptive analysis of the different characteristics, trends and scientific collaborations was performed. The collaboration networks were plotted using VOSviewer. ResultsFrom 2000 to 2021, Latin American publications in urology amounted to 9135 in scientific journals. Brazil is the country with the greatest scientific production (51.2%) and Chile has the greatest scientific production per million inhabitants. Of the total number of scientific publications, 51.1% were related to prostate cancer, 88.8% were written in English (and 50.2% had non-open access). The country with greatest collaborative research with Latin America was the United States. ConclusionsScientific output in urology in Latin America has increased substantially over the last 20 years. The most published topic is prostate cancer, most papers are written in English, and the United States takes first place regarding scientific collaboration. However, the proportion of the world's science originated in Latin America is still low and depends on Brazil.

Influence of Polytetrafluoroethylene Content, Compaction Pressure, and Annealing Treatment on the Magnetic Properties of Iron-Based Soft Magnetic Composites.

To improve the magnetic properties of iron-based soft magnetic composites (SMCs), polytetrafluoroethylene (PTFE) with excellent heat resistance, electrical insulation, and extremely high electrical resistivity was chosen as an insulating coating material for the preparation of iron-based SMCs. The effects of PTFE content, compaction pressure, and annealing treatment on the magnetic properties of Fe/PTFE SMCs were investigated in detail. The results demonstrate that the PTFE insulating layer is successfully coated on the surface of iron powders, which effectively reduces the core loss, increases the resistivity, and improves the frequency stability and the quality factor. Under the combined effect of optimal PTFE content, compaction pressure, and annealing treatment, the iron-based SMCs exhibit a high effective permeability of 56, high saturation magnetization of 192.9 emu/g, and low total core losses of 355 mW/cm3 and 1705 mW/cm3 at 50 kHz for Bm = 50 mT and 100 mT. This work provides a novel insulating coating layer that optimizes magnetic properties and is advantageous for the development of iron-based SMCs. In addition, it also provides a comprehensive understanding of the relationship between process parameters and magnetic properties, which is of great guiding significance for scientific research and industrial production.

Post-independence health research productivity in Portuguese-speaking African countries: A bibliometric analysis of 43 years of research and higher education in Mozambique

BackgroundAfrica has a high double burden of infectious and non-communicable diseases underscoring the critical need for robust scientific research. However, it is also associated with low scientific research productivity. Mozambique, which gained independence in 1975, serves as a poignant example. However, there remains a notable scarcity of evidence evaluating the country's trajectory in scientific and academic development. This study aims to evaluate 43 years of health-related scientific knowledge production through bibliometric analysis, focusing on key indicators. Additionally, it seeks to characterize the higher education institutions within the country. MethodsThe data was retrieved from the Web of Science Core Collection using an advanced search tool with Boolean research strategies, covering the period from 1976 to 2022 for all PALOP and 1976 to 2019 for Mozambique. To map Mozambican higher institutions, information was sourced from the Ministry of Science Technology and Higher Education database. Descriptive statistics were employed to summarize the findings, while the VOSviewer program version 1.6.19 was utilized to visualize distance-based bibliometric networks, focusing on co-authorship among institutions and keyword co-occurrence. ResultsPortuguese-speaking African countries (PALOP) contribute 2.5 % (10,933 out of 442,309) to Africa's total scientific output, with Mozambique leading at 63.6 % (6,951 publications) followed by Angola at 16.6 % (1,811 publications). All PALOP countries experienced decreased scientific productivity during the third year of the COVID-19 pandemic. In Mozambique, over 70 % (1,710 out of 2,380) of health-related publications from 2011 to 2019 were concentrated in this period. Key journals for health sciences include PLOS ONE, Malaria Journal, and Tropical Medicine & International Health, focusing on HIV, malaria, and tuberculosis. Higher education institutions in Mozambique show regional disparities, with 67.9 % in the South and only 8.9 % in the North, indicating significant inequality in their distribution across the country. ConclusionThis study highlights Mozambique's significant progress in health research productivity over 43 years, establishing it as a leader among PALOP countries. The substantial increase in publications, particularly after 2008, underscores the nation's growing research capacity and commitment to addressing critical health challenges such as HIV, malaria, and tuberculosis. However, regional disparities in higher education access and limited research contributions from private universities remain high in Mozambique.

Impact of the COVID-19 Pandemic on the Scientific Production of Physical Education Researchers: A Five-Year Follow-Up Study.

The COVID-19 pandemic caused significant changes in society's dynamics, particularly affecting the landscape of education. Research in several areas may have been affected during periods of social restrictions. This study analyzed the curricula of 558 researchers across 27 graduate programs in physical education in Brazil to investigate the potential impact of the COVID-19 pandemic on scientific publications. Researchers' production from 2018 to 2022 underwent a comprehensive analysis, considering the total number of publications, Qualis rank, and journal impact factor. Data were analyzed using chi-squared and Kruskal-Wallis tests. Significance was set at 5%. Overall, the analyzed researchers published a total of 17,932 manuscripts from 2018 to 2022. During the COVID-19 pandemic, there was a decline of 16.4% in the number of articles published (p = 0.001). This decline was similar between men and women (p = 0.603) and was associated with a worsening in Qualis rank (p = 0.001). The number of studies published in journals with impact factors was also affected (p = 0.001). The findings suggest a potential impact of the COVID-19 pandemic on the scientific production of Brazilian researchers in the field of physical education. Funding agencies should consider the challenges associated with the COVID-19 pandemic before evaluating researchers and programs.

Mapping the evolution of gender dysphoria research: a comprehensive bibliometric study

AbstractThe definition of gender dysphoria has been the subject of extensive scientific debate in various fields. The Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-V) characterizes gender dysphoria as a psychological condition due to a discrepancy between perceived and assigned gender. The scientific community has engaged in an extensive debate over the years regarding the classification of gender dysphoria, initially characterizing it as a gender identity disorder and subsequently removing it from the category of mental disorder. This paper aims to use bibliometric techniques to analyze scientific productivity and study the evolution of content on gender dysphoria from 1991 to 2022. It provides to map the scientific research production in this field through the science mapping approach highlighting the changes that have taken place over the past three decades.

Scientific Collaboration and Research Productivity: Evidence from One College in Makerere University

Scientific Collaboration and Research Productivity: Evidence from One College in Makerere University

Formation of a polypositional team in the conditions of continuing advanced education

Introduction. In the conditions of transformational changes in the higher education system, focused on building a nationally oriented education and ensuring technological and ideological sovereignty of the Russian Federation, one of the basic requirements is the creation of new models of human resource development management and the design of team-distributed work of an educational organization, including the processes of reprogramming, rethinking the results of professional activity to achieve leadership positions of professorships.-the teaching staff of the university.The authors of the article attempt to present a managerial mechanism for the formation of a polypositional team of organizational changes in the conditions of the formation of a new strategy for the development of a pedagogical university with the application of the theory of self-learning organization as a methodological framework for designing the content of cross-functional teams in business education. Based on the analysis of this theory of team building in the organization, the philosophy and essence of the reflexive management mechanism aimed at establishing the position of strategic leadership and achieving results due to the transfunctional (synergetic) effect in situations of uncertainty and multitasking are revealed.The article discusses the mechanisms of forming a polypositional team as a universal network resource for co-organizing positions within the framework of managing the development of a system of continuous advanced pedagogical education and experimental testing of the results of the federal innovation area of the Ministry of Higher Education and Science of the Russian Federation "Network project for training mentors for development" (2022-2027).The аim of the article is determined by the need to present a new organizational and managerial format, the essence of which is to create an educational space for the co-organization of subjects of continuous advanced education, including network design zones: problem, information, design and organizational activity zone (broadcasting and scaling results and experience). The designated organizational format sets the ways and meanings of the formation of a new professional position of the project participants in the preparation of a mentor for development.Materials and Methods. The development of a mechanism for the formation of a polypositional team as a team of professionals - leaders of organizational change is based on the methodology used in business education when managing a team–building system under the leadership of leaders of change, on an interdisciplinary methodology for creating a self-learning organization and on the principles of a convergent approach. At the initial stage, the project participants were offered two methods used to assess the transformational leadership of the organization's leaders, namely: a scale of self-assessment of innovative personality qualities (N.M. Lebedev, A.N. Tatarko) and a test for assessing managerial (managerial) style of behavior (I. Adizes method).Results. A management mechanism for the formation of a polypositional team in the conditions of continuous advanced education has been developed, a methodology for the organization of network design and diagnostics of leadership and innovative personality qualities of the leaders of a network project for the training of a mentor for development has been defined, and positions at the stages of event meetings within the framework of a project experiment of the federal innovation platform of the Ministry of Higher Education have been identified and Science of the Russian Federation "A network project for training mentors for development", that allowed us to substantiate the hypothesis about the effectiveness of the developed conditions for the transformation of the pedagogical profile university and its leading position in the system of regional education and Russian as a whole.Discussion and Conclusions. The degree of novelty of the research results is determined by the authors in two interrelated aspects. The fundamental novelty is represented by a set of provisions and ideas in the proposed universal mechanism for the formation of a polypositional code in the context of the theory of self-learning organization and the justification of the regularity of the relationship of the project-type content in the construction of event meetings and new formats of continuous advanced adult education, which qualify as a solution to the scientific problem of designing strategies and programs for the development of the university of design- of a programmatic nature. The novelty at the level of concretization and refinement of the results is represented by the organization of the project experiment and the methodology for evaluating the effectiveness of the developed conditions for the formation of a polypositional team of continuous advanced pedagogical education, the implementation of which increases the productivity of scientific research and its practical and socio-cultural significance.

Enhancing GPU performance and energy efficiency: Innovative strategies for sustainable computing

With the rapid advancement of science and information technology, Graphics Processing Units (GPUs) have become indispensable tools in contemporary scientific research and industrial production. This paper delves into optimizing GPU performance and energy efficiency, with a specific focus on five aspects: core count and layout, memory hierarchy and cache design, clock speed, specialized hardware units for specific tasks, and interconnections among GPU components. Increasing core count generally enhances GPU performance but also elevates energy consumption. Optimizing core count and layout strikes a balance between performance and energy use. Memory hierarchy and cache design are crucial for handling the inherent parallelism of GPU architecture; optimizing these aspects boosts GPU efficiency and sustainability. Clock speed is a vital performance indicator, with the right speed achieving an optimal balance between performance and energy use. Tailoring hardware units for specific tasks enhances computational efficiency and lowers energy consumption. Optimizing interconnections between GPU components enhances data transfer efficiency, yielding higher performance. Through comprehensive research and optimization in these five areas, this paper introduces innovative strategies and techniques to boost GPU performance and reduce energy consumption, laying the foundation for sustainable computing development.

Simulation-guided design of a target-cooling system for cyclotron-based isotope production

Isotopes are an important aspect of modern medical and scientific research and cyclotron-based isotope production is of particular interest. Cooling devices are required to manage the heat generated by high-energy particle beams to ensure that they can be delivered securely. However, there is considerable scope for further advancements in the design of cooling systems. Therefore, this study uses simulations to investigate the design of innovative cooling systems. Various designs and materials are considered using a variable four-sector collimator and various particle-beam conditions. Thus, new design principles and material and structural optimization strategies are proposed, which can be used to improve the stability and efficiency of isotope production. The results provide insight into technical challenges and may contribute toward advances in medical diagnostics, radiotherapy, and fundamental scientific research. In particular, they can guide the development of isotope-based technologies in nuclear medicine.

Application of calibration-free wavelength modulated spectral absorption technique in temperature measurement under ultra-short optical path

The measurement of gas temperature parameters is of great significance in scientific research and industrial production. Wavelength modulation technology, as a non-contact optical detection means, has the characteristics of strong anti-interference ability and is widely used in various complex and harsh environments. The accuracy of temperature measurement is affected by short optical paths and weak absorption. In this paper, a calibration-free wavelength modulated ultra-short optical path measurement system is established, and the selection rules of spectral lines under the ultra-short optical path and weak absorption are proposed. The measurement results of wavelength modulation without calibration are in good agreement with those of thermocouple temperature measurement, and the relative error is less than 10%.

A modified hard-templating for hollow mesoporous silica nanoparticles with suitable particle size and shortened synthetic time

Hollow mesoporous silica nanoparticles (HMSN), a member of mesoporous silica family synthesized mainly with har-templating method, has gained great interest in pharmaceutical applications due to their impress characteristics such as good biocompatibility, large specific surface area and pore volume, controllable particle size, large cavity for cargo loading, and flexible surface functionalization possibilities. However, controlling the optimal particle size and shortening the synthesis time have been the issues of HMSN synthesis that needed to be improved. In this study, HMSN was synthesized using hard-templating with some modifications to shorten the synthesis time and adjust the particle size to nearly 100 nm. The obtained HMSN particles showed high uniform morphology as spheres with hollow core-mesoporous shell structure, having the particle diameter of about 90 nm, the hollow diameter of about 68 nm, and the mesoporous shell thickness of about 11 nm. The total time for the main reactions was shortened by more than half from 21 hours to 9 hours. Additionally, MTT assays revealed that the synthesized HMSN was biocompatible material. This modified hard-template method with shorter synthesis time and nearly 100 nm obtained particle diameter would be meaningful for scientific research and industrial scale production.

Current trends and spatial-temporal dynamics of veterinary dentistry research: A scientometric study.

Understanding dental care in dogs has made remarkable progress in veterinary medicine. Therefore, this study aimed to analyze the academic literature published in veterinary dentistry from 1990 to 2023. A descriptive study was conducted using a scientometric approach and metadata from the Web of Science database. A search strategy adapted for this database was developed using MeSH and Emtree terms and the Boolean operators AND and OR. Using Bibliometrix, different metrics were evaluated to assess the scientific production of researchers and institutions and the impact of authors based on their publications. CiteSpace was also used for co-citation analysis and visualization of citation networks, trends, and patterns in this field of study over time. The bibliometric study analyzed 211 documents from 50 different sources from 1990 to 2023, with an annual growth rate of 6.5%, covering the period 1990-2023. A total of 474 authors were identified, with an average of 2.82 coauthors per paper and 11.85% international coauthorships. The average age of the papers was 12.4 years and 4.55 citations per paper. The most common types of documents were articles (154 documents). Research in veterinary dentistry has shown steady growth from 1990 to 2023. Although there have been fluctuations in article production over the years, there has been a steady growth in article production in veterinary dentistry in general. The annual average number of citations per article has varied over the years, reaching 45 in 2015. However, the average number of citations per article has decreased significantly from 2021 to 2023.

Sustainability and Brazilian Agricultural Production: A Bibliometric Analysis

Agriculture is one of the most important industries in the world. In this context, the importance of Brazil as a strategic country to meet a range of SDG’s targets linked to food security, fighting against hunger, and poverty reduction is undeniable. This study aimed to highlight the production and dissemination of scientific research developed by Brazilian institutions, and to identify prominent authors and institutions based on articles related to sustainability, agriculture, livestock, and agribusiness. A bibliometric analysis was developed based on a sample of 3139 documents published between 2000 and 2022, comprising 21,380 authors that were then analyzed using the Biblioshiny package. As result, the term “sustainability” showed growth as it branched out to semantically similar terms, such as “sustainable agriculture” and “sustainable intensification”; and “crop–livestock integration” and “agroforestry” were highlighted as important in the development of future research. The majority of documents were produced by the University of São Paulo (~33%), the State University of São Paulo (~15%), and the Federal University of Rio Grande do Sul (~11%), suggesting that their researchers could act as coordinators in future research through the formation of multi-collaborative groups to jointly lead to the participatory elaboration of public policies that promote more sustainable paths for agricultural production.

Understanding Turkish Foreign Policy Studies: A Bibliometric Analysis

Employing a rigorous bibliometric framework, this study undertakes a comprehensive exploration of scholarly inquiries into Turkish Foreign Policy (TFP) by utilizing an extensive dataset extracted from the reputable SCOPUS database. TFP publications in various languages were scrutinized over nearly a century, from 1939 to 2022, with bibliometric analysis methodically traversing titles, keywords, abstracts, word frequencies, references, authorships, citations, and geographic diffusion. To comprehensively unravel the scholarly landscape, we employed three bibliometric methodologies: descriptive statistics, network analysis, and textual analysis. The overarching goals included delineating the contours of the TFP scholarly community, charting the evolution of influential factors across temporal horizons, and gauging the extent of collaborative interactions among TFP researchers. Our findings reveal the absence of a cohesive TFP research community within the Turkish academic landscape, which unequivocally underscores the fragility of Turkish International Relations (IR) academia in terms of scientific collaboration, academic networking, and research productivity. Our findings distinctly underscore the fragmentary nature of the TFP research community in terms of thematic breadth and practical manifestations. The conspicuous dearth of cross-referencing among Turkish IR scholars, limited joint scientific ventures, and scholarly output collectively underpin inherent vulnerabilities and constraints within the TFP community.

Configurational determinants of time-to-win in NSFC youth program funding: Insights from Chinese library and information science

While extensive research has delved into various facets of science funding outputs and the determinants of funding approval, prevailing methodologies predominantly rely on descriptive statistics or regression analyses. These approaches often miss a holistic view that integrates the interplay of multiple influential factors. In this study, we leverage the scientific research productivity model to introduce the Institution-Capability-Demographics framework, encompassing three pivotal dimensions: institutional characteristics, individual capabilities, and individual demographics. Adopting a configuration perspective, we scrutinize the synergistic effects of these dimensions on the time-to-win in science funding applications. Our empirical analysis draws from data of 72 young scholars affiliated with the Youth Program for Library and Information Science (LIS) of the NSFC, all of whom secured funding between 2003 and 2019. Through the fuzzy-set qualitative comparative analysis (fsQCA), this study delineates four distinct mechanisms that expedite the application process for the NSFC's Youth Program: demographic-capability-institution synergy, capability-centric balance, demographic-capability harmony, and capability-institution equilibrium. The findings elucidate the intricate interdependencies of factors influencing the time-to-win in science funding, offering valuable guidance for science fund managers and fostering the growth of emerging scholars.

Conditioning factors for the scientific productivity of undergraduate students of health sciences at a private Peruvian University: A cross-sectional analytical study

Background The objective of this study was to determine the conditioning factors for scientific research productivity in university students of health sciences. Methods A cross-sectional analytical observational study was conducted. The study population was 4104 students enrolled during the 2021-I semester in the Faculty of Health Sciences of a private Peruvian university. A sample size of 400 students was determined and a stratified probability sampling was used. The variables were measured through surveys. The dependent variable was scientific research productivity, and the independent variables were institutional culture, knowledge management and technological capital. Summary measures are reported according to the type of variable. The chi-square test with a significance level of p<0.05 was applied to assess the association between the variables of interest. A multiple logistic regression analysis was performed using the Stepwise method. Prevalence ratios (PR) with their respective 95% confidence intervals (95%CI) were calculated. Results From the total of 400 students, 74.5% were male, 57.25% were aged between 18 and 27 years, 17% belonged to the school of human medicine and 72% were in their sixth year of studies. Scientific research productivity was associated with management commitment (PR=1.493; 95%CI: 1.077–2.068, p=0.015), sense of personal growth (PR=1.632; 95%CI: 1.041–2.558; p=0.024), recognition by the university (PR=1.385; 95%CI: 1.012–1.896; p=0.043), strategic alliances (PR=1.422; 95%CI: 1.032–1.959; p=0. 03), having research proposals (PR=1.522; 95%CI: 1.114–2.08; p=0.009), dissemination of results obtained (PR=1.542; 95%CI: 1.12–2.122; p=0.01), availability of human resources (PR=1.591; 95%CI: 1.165–2.173; p=0.004), access to equipment and software (PR=1.482; 95%CI: 1.061–2.069; p=0.018) and to laboratories (PR=1.438; 95%CI: 1.047–1.974; p=0.024). Conclusion It is concluded that the research productivity of undergraduate students of health sciences is low. It is necessary to strengthen research promotion measures in universities for the control and monitoring of students’ scientific participation.