Quality Of Scientific Research Research Articles

Emerging contaminants in water environments: progress, evolution, and prospects

ABSTRACT This article employs bibliometric tools like VOSviewer, Bibliometrix, and CiteSpace for a comprehensive visual analysis of 1,612 documents on Emerging Contaminants in Waters from the Web of Science database. The objective is to elucidate the historical development, research hotspots, and trends in international studies of this field, offering valuable insights and guidance for future research directions. The analysis reveals a consistent increase in publications from 2003 to 2023, with the United States, China, and Spain being the most prolific contributors. A detailed examination of keyword co-occurrence and cluster analysis shows a predominant focus on themes such as pollutant detection, risk assessment, and biogeochemical cycling. Furthermore, the study underscores the significance of forming interdisciplinary networks among authors and institutions, highlighting its critical role in enhancing the quality and innovation of scientific research. The findings of this study not only chart the progression and focal points of research in this domain but also underscore the pivotal role of international collaboration, serving as an indispensable reference for shaping future research trajectories and fostering global cooperation.

The Role of Scientific Research in Human Papillomavirus Vaccine Discussions on Twitter: Social Network Analysis.

Attitudes toward the human papillomavirus (HPV) vaccine and accuracy of information shared about this topic in web-based settings vary widely. As real-time, global exposure to web-based discourse about HPV immunization shapes the attitudes of people toward vaccination, the spread of misinformation and misrepresentation of scientific knowledge contribute to vaccine hesitancy. In this study, we aimed to better understand the type and quality of scientific research shared on Twitter (recently rebranded as X) by vaccine-hesitant and vaccine-confident communities. To analyze the use of scientific research on social media, we collected tweets and retweets using a list of keywords associated with HPV and HPV vaccines using the Academic Research Product Track application programming interface from January 2019 to May 2021. From this data set, we identified tweets referring to or sharing scientific literature through a Boolean search for any tweets with embedded links, hashtags, or keywords associated with scientific papers. First, we used social network analysis to build a retweet or reply network to identify the clusters of users belonging to either the vaccine-confident or vaccine-hesitant communities. Second, we thematically assessed all shared papers based on typology of evidence. Finally, we compared the quality of research evidence and bibliometrics between the shared papers in the vaccine-confident and vaccine-hesitant communities. We extracted 250 unique scientific papers (including peer-reviewed papers, preprints, and gray literature) from approximately 1 million English-language tweets. Social network maps were generated for the vaccine-confident and vaccine-hesitant communities sharing scientific research on Twitter. Vaccine-hesitant communities share fewer scientific papers; yet, these are more broadly disseminated despite being published in less prestigious journals compared to those shared by the vaccine-confident community. Vaccine-hesitant communities have adopted communication tools traditionally wielded by health promotion communities. Vaccine-confident communities would benefit from a more cohesive communication strategy to communicate their messages more widely and effectively.

Preponderant Relationships: Violent Crime, Premises Security Litigation, and Low-Income Housing

ABSTRACT This paper advances knowledge of the ways in which criminological research can assist the courts in rendering legal decisions. To do so, we examine case examples from premises security litigation involving low-income housing developments. We describe the investigative tasks of a premises security lawsuit, address the challenges of examining and explaining a criminal assault, and show how criminological scholarship can point to the importance of place management in suppressing or facilitating crime in low-income housing developments. We examine three preponderant relationships – offender and victim, security standards and proximate causation, and place management and crime opportunities – to provide insight into the translation of criminological knowledge into actionable legal outcomes. We address the nexus of environmental criminology and premises security litigation to strengthen the scientific foundation of criminological research and improve the quality of forensic social scientific research in the legal system.

ORGANIZATIONAL AND INNOVATION MANAGEMENT OF FINANCIAL AND PERSONNEL SUPPORT FOR THE INTELLECTUAL POTENTIAL OF HIGHER EDUCATION INSTITUTIONS

At this historical stage of development, Ukraine is going through the most difficult times since the period of gaining its independence. The logic of state administration, financial and credit relations, social guidelines and the foreign policy of our country in general has changed. The sectors of education and science, in which not always positive changes are taking place, were also affected by such changes. Rather, on the contrary, there is a trend of stagnation in education caused by weak institutional support, and imperfect personnel and financial policies. The aggressive policy of the Russian Federation in relation to our country caused a powerful surge of internal and external migration of the population, including highly professional and narrowly qualified workers who were involved in educational and scientific processes and proved their effectiveness. In such conditions, it becomes necessary to determine the orientations of the organizational and innovative management of financial and personnel support of academies, institutes, universities and other educational institutions in the conditions of the restoration of intellectual potential. It is especially important to develop a methodology for its assessment and forecasting. In this context, the article proposes ways of evaluating, forecasting and improving the organizational and innovative management of financial and personnel support of higher education institutions. In the process of writing the article, economic and mathematical methods, tools and models were used, in particular two-factor regression models, Farrar-Glober tools, the method of least squares, and Fisher's F-criterion analysis. Taking into account the trends of forecasting financial and personnel support in order to improve the management of higher education institutions, managers should pay attention to the need to attract investments to improve the quality of scientific research.

Hospital Medical Behaviour Supervision and Operational Efficiency Evaluation Method based based on Big Data Platform

The application of cloud computing and big data core technologies and concepts to medical informatization can improve its flexibility and efficiency, and achieve the overall deployment and intensive management of the system. In the era of big data, the use of information management platform can optimize and standardize clinical diagnosis and treatment process, improve the quality and efficiency of diagnosis and treatment services, and improve the quality and level of scientific research, which meets the requirements of medical reform for fine management of hospitals and precise medical treatment in the era of evidence-based medicine. This paper introduces the development and application of big data analysis in the field of information technology. Through the research on the supervision of hospital medical service behavior, the top-level design is used to standardize the content of medical behavior supervision, and the effectiveness of supervision is discussed to achieve the purpose of reducing clinical paperwork. Based on the needs, the medical service behavior supervision system is proposed and constructed. Strengthen hospital medical behavior supervision through hospital big data analysis and knowledge base system support. This system can provide management with an effective monitoring and management tool, enabling them to promptly identify and solve problems that arise in medical services. By analyzing a large amount of medical data, hospitals can help predict the trend of disease occurrence in advance, thereby taking preventive and control measures in advance, and reducing the occurrence and spread of diseases. Through deep learning and analysis of patient data, personalized treatment plans can be provided for each patient to improve treatment effectiveness.

Research on the Status Quo and Improvement Needs of Foreign Language Teachers’ Teaching Competence in Curriculum-Based Ideological Education in Xinjiang Colleges and Universities

This study investigated the status quo and further improvement needs of foreign language teachers’ teaching competence in curriculum-based ideological education (CIE) in Xinjiang colleges and universities. The results show that the teachers’ teaching competence in CIE is generally good, with the “cultivating quality” being the highest and the “scientific research quality” the lowest; there still exist several problems, such as teachers’ lack of theoretical knowledge in CIE, lack of teaching resources, and insufficient abilities in teaching design and research. It is hoped that with the support and efforts from university administrations, teachers can improve their teaching competence in CIE through various approaches adopted and multiple measures taken, thus optimizing their teaching effectiveness, promoting the construction of CIE in Xinjiang colleges and universities in the new era, and contributing to Xinjiang’s high-quality development.

The Impact of Modern Technological Management Strategy on the Quality of Scientific Research in Some Faculties of Physical Education and Sports Sciences in Libyan Universities

This research aims to clarify the role of technological management strategy by identifying the quality of scientific research in the faculties of physical education and sports sciences in Libyan universities. In addition, this study aims to study the role of human resources management in the transition to bringing about the modern technological change in management strategy. Concentrating the process of bringing and attracting modern technology has become an inevitable necessity on the one hand, and a planned and non-random matter on the other hand. In this research, we relied on the descriptive method using the survey method. The study sample was composed of professors from some faculties of physical education and sports sciences of the Libyan University. The total sample number was ninety-one (91) individuals. Several statistical tools were used in this study using SPSS, version 2020, This research resulted in that the strategy of modern technological management has a role in achieving change in universities colleges during their management of various educational programs, especially when it concerns a radical change in the methods of administrative work. Therefore, adopting the digital style by introducing modern technology in the management of local administration is inevitable and imposed by the rapid developments in various means of communication and modern technologies.

Heterogeneous university research and firm R&D location decisions: research orientation, academic quality, and investment type

AbstractUniversities play an important role in regional development and innovation and engage with the industry through various channels. In this paper, we examine the role of heterogeneous characteristics of university research, in particular universities’ orientation towards basic or applied research and the quality of this research, in attracting firms’ R&D investment. We analyze the location decisions in the United States by foreign multinational firms at the level of metropolitan areas. We contrast research and development projects and explore whether they are driven by different factors. We find that the drivers of location choice differ importantly as a consequence of the type of the focal R&D investment of the firm. Universities with an orientation towards applied scientific research and exhibiting higher academic quality of applied research attract more R&D investment focusing on development activities. In contrast, firms’ investments in research activities are attracted by the academic quality of basic scientific research of local universities. Hence, increased university emphasis on academic engagement and applied research may have negative consequences for industrial research in the region.

Achieving good science

Abstract There are worries about the quality of scientific research, the validity of the knowledge it produces and the integrity of academics. What is lacking in the debate is what scientists have to say and what they do to create and safeguard what they see as ‘good science’. Using Dutch academia as a case, we show that the academics’ understandings of scientific practice differ in vital ways from those of policy makers. Policy maker's understanding of academia as a competitive marketplace to foster innovative research disturbs the everyday ethics and creativity of scientific work according to the scientists, who see academia as a collective practice aimed at understanding the world in which tradition and innovation have to find a balance. We conclude that this misunderstanding and its consequences do more to damage research integrity than fraudulent activities of individual researchers.

Major mistakes in scientific medical writing based on manuscripts' reviews.

Peer review is a crucial process in ensuring the quality and accuracy of scientific research. It allows experts in the field to assess manuscripts submitted for publication and provide feedback to authors to improve their work. To describe mistakes encountered while peer reviewing scientific manuscripts submitted to "La Tunisie Médicale" journal. This was a bibliometric study of research manuscripts submitted to "La Tunisie Médicale" and reviewed during 2022. The data collected included the type of the manuscripts and the number of reviews conducted per manuscript. The study also identified variables related to writing mistakes encountered during the peer review process. A total of 155 manuscripts (68% original articles) were peer reviewed and 245 reviews were delivered, by two reviewers. Out of 62 mistakes detected, 21% concerned the results section. In 60% of the manuscripts, the keywords used were not MeSH (Medical Subject Headings) terms. The introduction lacked in-text citations in 30% of the reviewed manuscripts, while the method section did not have a clear study framework (27%). The two major mistakes detected in the results section were the misuse of abbreviations in tables/figures, and the non-respect of the scientific nomenclature of tables/figures with respectively 39% and 19% of manuscripts. This study identified 62 mistakes while reviewing scientific manuscripts submitted to "La Tunisie Médicale" journal. Scholars can benefit from participation in scientific writing seminars and the use of a safety checklist for scientific medical writing to avoid basic mistakes.

The implementation of an active inquiry learning centered "7E" teaching mode in the cell biology course enhances the learning effects of postgraduate students.

The primary objective of science postgraduate education is to foster students' capacity for creative thinking and problem-solving, particularly in the context of scientific research quality. In order to achieve this goal, the "7E" teaching mood has been implemented in the cell biology course for postgraduate students to promote student-centered active inquiry learning instead of breaking away from traditional indoctrination-based teaching methods. This study demonstrates that the implementation of the "7E" teaching mode, through content programming, process design, and effect evaluation, effectively meets the needs of the majority of students, fosters their interest in learning, enhances their performance in comprehensive questioning, and enhances their innovative abilities in scientific research. Consequently, this research offers a theoretical framework and practical foundation for the development of the "7E" teaching mode in postgraduate courses, aiming to cultivate highly skilled scientific professionals.

A Performance Prediction Method for Talent Team Building Based on Integrated ISA-BP Neural Networks

INTRODCTION: Objective, accurate and fair development of research and effective performance prediction methodology for the construction of the talent team is the current needs of the new era of innovation and reform and development of university management, as well as the need to improve the quality of scientific research and teaching level of the talent team.OBJCTIVES: To address the problems of irrational principle of indicator selection, incomplete system and imprecise methodology in the current research on performance prediction of talent team building.METHODS:This paper proposes a talent team construction performance prediction method based on intelligent optimization algorithm improving neural network with integrated learning as the framework. First of all, through the analysis of the current talent team construction performance prediction influencing factors selection principles, analyze the talent team construction performance management process, select the talent team construction performance prediction influencing factors, and construct the talent team construction performance analysis system; then, with the integrated learning as a framework, improve the neural network through the internal search optimization algorithm to construct the talent team construction performance prediction model; finally, through the simulation experiments to analyze and verify the effectiveness and superiority of the proposed method. The effective type and superiority of the proposed method are verified.RESULTS: The results show that the proposed method satisfies the real-time requirements while improving the prediction accuracy.CONCLUSION: This paper addresses the lack of precision in forecasting the performance of the talent pipeline and the lack of a sound analytical system.

ВЕРА АРКАДЬЕВНА ФИРСОВА – НЕОКОНЧЕННАЯ ПОВЕСТЬ. НАУЧНЫЕ ПРОЕКТЫ ДЕТСКО-ПОДРОСТКОВОГО ОТДЕЛА ДЛЯ ПРАКТИЧЕСКОЙ ФТИЗИАТРИИ

Preserving the best clinical traditions passed down by our teachers ensures the quality of scientific research, professional care for children and adolescents with TB, staff training – this makes up the legacy and originality. Years pass, the techniques for diagnosing and treating TB change, new people come, but success follows those who preserve the most important and invaluable – the memory of people who gifted boundless love for the profession, the job they served. When the connection between generations is uninterrupted, every work makes sense. Let’s thank our teachers for the knowledge granted to us. Undoubtedly, every new idea implemented in clinical practice is a credit to our teachers.

ОТЗЫВ официального оппонента на диссертацию Саетгараева Вильсура Фирдависовича на тему «Организационно-правовой механизм сотрудничества органов внутренних дел и институтов гражданского общества в сфере противодействия коррупции»

The purpose of the expert analysis of the manuscript is to evaluate the quality of the conducted dissertation research of Vilsur F. Saetgarayev “Organizational and legal mechanism of cooperation between internal affairs bodies and civil society institutions in the sphere of combating corruption”, submitted for the degree of Candidate of Legal Sciences in the specialty 5.1.2 Publiclegal (state-legal) sciences to the dissertation council DS 03.2.001.02, created on the basis of the Academy of Management of the Ministry of Internal Affairs of Russia. Method of research: the general scientific method of comparison and derived from it methods of comparative jurisprudence are used as the main one. Research results: the opponent describes the main merits of the dissertation research, its relevance, absolute scientific novelty and practical significance, as well as critical judgments on some issues reflected in the dissertation, which will allow in the future to further explore the institution of cooperation between internal affairs bodies and civil society institutions on anti-corruption issues. Scientific novelty: comparison of the results of V. F. Saetgarayev’s dissertation research is carried out with foreign anti-corruption legislation, by-laws and similar on the problematic issues scientific works of foreign authors, which were not previously attracted by other researchers as literary sources. The opponent introduces into scientific turnover new literary sources in several foreign languages on the topic of research. Practical significance: the mechanisms of analytical evaluation of the dissertation research on cooperation between internal affairs bodies and civil society institutions in combating corruption proposed by the author can be used in the future to assess the quality of scientific research in the field of anti-corruption.

The Development and Adaptation of a Predictive Model of Full-Factor Optimisation of the Basic Probiotic Fermented Dairy Product Technological Process

Introduction: In the conditions of rapidly developing markets and the increasing needs of the population for new types of products with long shelf life, there is a need to expand their range, further improve their quality and biological value, and modernize traditional technologies. The main means of achieving these goals is to increase the efficiency and quality of scientific research and accelerate the introduction of scientific achievements in industry. The latter will make adjustments to accelerate the development of effective technologies of whole-milk products. The use of new methods of experiment planning in order to optimize technological processes will reduce the duration of research on the creation of new types of products.Purpose: The article is devoted to the research related to the development and adaptation of a predictive (mathematical) model for optimization of the technological process of probiotic fermented dairy product production. This approach will allow to ensure the design of a certain set of formulations for probiotic fermented dairy product, in which the relative biological value (RBV) will correspond to the maximum value at satisfactory given process parameters.Materials and Methods: The objects of research were: probiotic fermented dairy product manufactured in accordance with the developed mathematical model of the process. The search of specialized literature was carried out using electronic databases: E-library, Scopus, MDPI, Science Direct. Mathematical processing of experimental data for the development of the probiotic fermented dairy product model was carried out using Microsoft Excel 2010 (Microsoft Corporation, Ink.) with the "Solution Search" add-in, as well as specialized software packages TableCurve 2D v.5.01 (SYSTAT Software, Ink.) and Wolfram Mathematica 10.2 (Wolfram Research, Ink.).Results: A mathematical model for optimization of the technological process of probiotic fermented dairy product production was developed. A full-factor experiment (FFE) was conducted, in which the mass fraction of sucrose ( , %) and fat-protein index (r) - the ratio of the mass fraction of fat to the mass fraction of protein in the normalized mixture in the intervals from 0 to 10 and from 0 to 1.5%, respectively, were taken as independent factors. RBV was taken as the resultant factor. Based on the results of the research, a refined mathematical description of the dependence of RBV indicator on the mass fraction of sucrose and fat-protein index was obtained. The set of data on the influence of the mass fraction of sucrose on the dynamics of local maximum of RBV and the dynamics of the corresponding values of the mass fraction of fat showed that the maximum of RBV equal to 244.866% corresponded to the mass fraction of sucrose equal to 7.31%. The latter corresponded to the optimum fat-protein index of 1.241. In order to ensure maximum RBV, the lower limit of the mass fraction of fat had to correspond to 3.475%. The analysis of the FFE data showed the presence of additional corrective factors of RBV indicator dependence on fat and protein mass fraction indices. To refine the developed model taking into account additional factors, a correction factor (Q) was introduced into it.Conclusion: Approbation of the optimization model of the technological process of probiotic fermented dairy product production and the obtained mathematical dependencies can serve as a criterion for the formation of a set of formulations for the production of sugar-containing fermented dairy products with a high potential of relative biological value. It should be taken into account that the definition area of this approach is limited in terms of mass fraction of fat in the range from 0.06 to 4.84% and mass fraction of protein - from 2.8 to 3.9%. With this approach (model development) it is possible to analyze promising modes for the studied process, which in real conditions at the experimental stage are not always possible to obtain. The development of this model will significantly reduce the duration of research on the optimization of the technological process.

One step beyond the lab and clinic: "walking the dementia conversation".

Millions of dollars have been lost in dementia research over the last 30 years owing to unsuccessful clinical trials aimed at finding an effective treatment for the condition. Although two promising drugs have been identified, the research effort is insufficient. The dehumanization of patients and the pressure to publish have led to a decline in the quality and usefulness of scientific research. One way to tackle these problems is establishing close contact with those who put their faith in researchers. Fine-tuning the participation of patients with dementia and caregivers in research design and improving their connection and communication with researchers could positively contribute to enhancing the perspectives and designing strategies for scientists in order to generate a new and enriching vision. The Walking the Talk for Dementia event showed that people can still live with dementia despite their condition. Approximately 300 people participated in the all-week "Santiago's Camino" symposium. People living with dementia, caregivers, healthcare professionals, activists, clinicians, and researchers participated in this event. The "Walking the Talk for Dementia" (WTD) event vividly demonstrated a strong commitment to upholding Global Brain Health Institute's (GBHI) core values of Authenticity, Fairness, Openness, Respect, Courage, and Empathy (A FORCE) to advance equity in brain health. These values provide clear guidance for their advocacy initiatives aimed at mitigating the global impact of dementia. Research and development are essential across scientific fields, especially in clinical contexts where involving patients and caregivers is critical. The WTD initiative exemplifies this aspect by bringing together researchers, caregivers, and dementia patients on the Camino de Santiago in Spain.

Importance of effective mentoring for research integrity

There are three pillars essential for achieving excellence in research and creative activity: (i) training in proper research and scholarship practices, (ii) effective mentoring, and (iii) ethical awareness and understanding one’s responsibilities for proper conduct. When research integrity issues arise, these are often linked with poor mentoring, either toxic and or neglectful practices. Intuitively and supported by analytics, good mentoring ensures the quality and integrity of scientific research. Given the importance of effective mentoring and the value of this for the development of undergraduate and graduate students in their journey toward becoming and independent and creatively thinking researchers, it is incumbent on all of us who serve as faculty mentors to re‐assess the effectiveness of our mentoring styles and the qualities we display.

Educational Institutions in Genealogical Studies on the History of Science and Technology

The purpose of the study is to analyse the peculiarities of using the archives of research and educational institutions as an integral part of the source base of genealogical research on the history of science and technology and to identify the degree of digitalisation of archival collections. The research methodology is based on theoretical developments in history and related sciences, as well as the use of basic approaches to cognition and dialectics, the application of the principles of historical science such as objectivity, scientificity, historicism, universality, systematicity, specificity; the principle of a specific historical approach – historicism – the integrity of the source. The organic blending of general scientific and special research methods in the complex makes it possible to carry out a comprehensive analysis of the topic. The methods of generalisation, analogy, synthesis, analysis, formal logic, as well as historical and chronological, historical and comparative, historical and genetic, historical and typological methods were used in the scientific search, which contributed to obtaining new results in the study of this topic. The scientific novelty of the article is to actualise the issue of using the funds of archives of research and educational centres in conducting genealogical research on the history of science and technology. The systematisation of historiographical sources containing information of genealogical nature is proposed, their information potential is characterised. The reliability degree of the identified sources and the need to introduce new components of the source base of genealogical research on the history of science and technology are determined. The methodological foundations for reconstructing the genealogies of Ukrainian scientists on the basis of representative, diverse sources have been further developed. The necessity of digitalisation of the archival collections of scientific and educational centres, the introduction of information technologies as the main factor in improving the quality of scientific research is substantiated. Keywords: archive, source base, genealogical research, electronic resources, information technology, librarianship, document.

ChatGPT identifies gender disparities in scientific peer review

The peer review process is a critical step in ensuring the quality of scientific research. However, its subjectivity has raised concerns. To investigate this issue, I examined over 500 publicly available peer review reports from 200 published neuroscience papers in 2022–2023. OpenAI’s generative artificial intelligence ChatGPT was used to analyze language use in these reports, which demonstrated superior performance compared to traditional lexicon- and rule-based language models. As expected, most reviews for these published papers were seen as favorable by ChatGPT (89.8% of reviews), and language use was mostly polite (99.8% of reviews). However, this analysis also demonstrated high levels of variability in how each reviewer scored the same paper, indicating the presence of subjectivity in the peer review process. The results further revealed that female first authors received less polite reviews than their male peers, indicating a gender bias in reviewing. In addition, published papers with a female senior author received more favorable reviews than papers with a male senior author, for which I discuss potential causes. Together, this study highlights the potential of generative artificial intelligence in performing natural language processing of specialized scientific texts. As a proof of concept, I show that ChatGPT can identify areas of concern in scientific peer review, underscoring the importance of transparent peer review in studying equitability in scientific publishing.

ChatGPT identifies gender disparities in scientific peer review.

The peer review process is a critical step in ensuring the quality of scientific research. However, its subjectivity has raised concerns. To investigate this issue, I examined over 500 publicly available peer review reports from 200 published neuroscience papers in 2022-2023. OpenAI's generative artificial intelligence ChatGPT was used to analyze language use in these reports, which demonstrated superior performance compared to traditional lexicon- and rule-based language models. As expected, most reviews for these published papers were seen as favorable by ChatGPT (89.8% of reviews), and language use was mostly polite (99.8% of reviews). However, this analysis also demonstrated high levels of variability in how each reviewer scored the same paper, indicating the presence of subjectivity in the peer review process. The results further revealed that female first authors received less polite reviews than their male peers, indicating a gender bias in reviewing. In addition, published papers with a female senior author received more favorable reviews than papers with a male senior author, for which I discuss potential causes. Together, this study highlights the potential of generative artificial intelligence in performing natural language processing of specialized scientific texts. As a proof of concept, I show that ChatGPT can identify areas of concern in scientific peer review, underscoring the importance of transparent peer review in studying equitability in scientific publishing.