Technological advances and challenges of reclaimed asphalt pavement (RAP) application in road engineering-a bibliometric analysis from 2000 to 2022.

Reclaimed asphalt pavement (RAP) is a valuable material that can be recycled and reused in road engineering to reduce environmental impact, resource utilization, and economic costs. However, the application of RAP in road engineering presents both opportunities and challenges. This study visually analyzes the knowledge background, research status, and latest knowledge structure of literature related to RAP using scientific metric methods such as VOSviewer and Citespace. The Web of Science (WoS) core collection database identified 2963 research publications from 2000 to 2022. Collaborative networks between highly cited references, journals, authors, academic institutions, countries, and funding organizations are analyzed in this study, along with a co-occurrence analysis of keywords for the RAP research publications. Results showed that the USA has long been a leader in RAP research, China surpassed the USA in annual publication output in 2019, increasing from 2 publications in 2002 to 177 publications in 2022, and has made significant investments in technological aspects. Chang'an University ranked first in total publication output (131 publications, 4.4%). Current major research themes include road performance, recycling technology, regeneration mechanisms, and the life cycle assessment of RAP. In addition, based on cluster analysis of keywords, text content analysis, and SWOT analysis, this study also discusses RAP's challenges and future development directions in road engineering. These findings provide scholars with valuable information to gain insight into technological advances and challenges in the field of RAP.

European policies for public health in border regions: no European mindset as yet.

BACKGROUND: The sudden emergence of COVID-19 in 2020 demonstrated that Europe was not prepared for a public health crisis like this pandemic. In the European Union, matters of health have remained primarily under the jurisdiction of individual Member States. However, certain events, such as the Kohll-Decker ruling on free mobility of health services and the COVID-19 pandemic, compelled the EU to address health matters in border regions. This study examines how EU policies address public health in border regions. To that end, we have drawn from border studies, a field that provides insight into the fluidity and complexity of borders in everyday life. Besides that we used constructivist policy studies as a lens for the analysis of EU policy documents. METHODS: A policy discourse analysis was conducted to explore how European policy addresses the development of a transnational, European public health in border regions. Key European policy documents published between 2002 and 2027 were analysed to understand how policies are constructed and problems are framed. The analysis was guided by research questions and the theoretical approach. RESULTS: The analysis reveals that, while having limited competences in the field of health care, the EU is slowly developing a rationale and a knowledge base to increase its competences in health care. It also shows that in the field of public health, the EU argues for addressing health determinants and promoting healthy lifestyles, though it does not address health promotion in border regions. The EU's authority in public health in border regions revolves primarily around addressing physical, biological and chemical threats rather than social health problems. CONCLUSION: Though the EU has carefully developed a transnational perspective on health care, the EU has not developed any authority with respect to transnational public health. Though public health and health promotion in border regions have been confronted with specific challenges, neither specific Member States nor the EU have a transnational collaborative perspective that does justice to the characteristics of border regions. When it comes to public health in border regions, there is no European mindset as yet.

Knowledge structure and future research trends of body-mind exercise for mild cognitive impairment: a bibliometric analysis.

Background: Mild cognitive impairment (MCI) is a common neurodegenerative disorder that poses a risk of progression to dementia. There is growing research interest in body-mind exercise (BME) for patients with MCI. While we have observed a rapid growth in interest in BME for MCI over the past 10 years, no bibliometric analysis has investigated the knowledge structure and research trends in this field. Consequently, the objective of this research is to conduct a bibliometric analysis of global publications of BME for MCI from 2013 to 2022. Methods: A total of 242 publications in the field of BME for MCI were retrieved from the Web of Science Core Collection. Bibliometric analysis, including performance analysis, science mapping, and visualization, was performed using CiteSpace, VOSviewer, and Microsoft Excel. Results: Publications and citations in the field of BME for MCI have shown a rapidly increasing trend over the last decade. Geriatrics & Gerontology, and Neurosciences were the most frequently involved research categories. China (78 documents) and the USA (75 documents) contributed to the largest number of publications and had the strongest international collaborative networks. Fujian University of Traditional Chinese Medicine contributed to the largest number of publications (12 documents), and Chen, L of this institution was the most prolific author (12 documents). Frontiers in Aging Neuroscience (16 documents), and JOURNAL OF ALZHEIMER'S DISEASE (12 documents) were the most prolific journals. Tai Chi and Baduanjin, as specific types of BME, were the hotspots of research in this field, while evidence synthesis and guidelines might be future research trends. Conclusion: In the last decade, there has been a rapid growth in scientific activities in the field of BME for MCI. The results of this study provide researchers and other stakeholders with knowledge structure, hotspots, and future research trends in this field.

Bibliometric insights into the evolution of uranium contamination reduction research topics: Focus on microbial reduction of uranium.

Confronting the threat of environment uranium pollution, decades of research have yielded advanced and significant findings in uranium bioremediation, resulting in the accumulation of tremendous amount of high-quality literature. In this study, we analyzed over 10,000 uranium reduction-related papers published from 1990 to the present in the Web of Science based on bibliometrics, and revealed some critical information on knowledge structure, thematic evolution and additional attention. Methods including contribution comparison, co-occurrence and temporal evolution analysis are applied. The results of the distribution and impact analysis of authors, sources, and journals indicated that the United States is a leader in this field of research and China is on the rise. The top keywords remained stable, primarily focused on chemicals (uranium, iron, plutonium, nitrat, carbon), characters (divers, surfac, speciat), and microbiology (microbial commun, cytochrome, extracellular polymeric subst). Keywords related to new strains, reduction mechanisms and product characteristics demonstrated the strongest uptrend, while some keywords related to mechanism and performance were clearly emerging in the past 5 years. Furthermore, the evolution of the thematic progression can be categorized into three stages, commencing with the discovery of the enzymatic reduction of hexavalent uranium to tetravalent uranium, developing in the groundwater remediation process at uranium-contaminated sites, and delving into the research on microbial reduction mechanisms of uranium. For future research, enhancing the understanding of mechanisms, improving uranium removal performance, and exploring practical applications can be considered. This study provides unique insights into microbial uranium reduction research, providing valuable references for related studies in this field.

Knowledge mapping of spastic cerebral palsy. A bibliometric analysis of global research (2000-2022).

BACKGROUND: Cerebral palsy (CP) is characterized by abnormal pronunciation, posture, and movement. Spastic CP accounts for more than 70% of all CP. To date, there has been no bibliometric analysis to summarize study on spastic CP. Here, we aim to conduct a bibliometric analysis of spastic CP to summarize this field's knowledge structure, research hotspots, and frontiers. METHOD: Publications about spastic CP were searched utilizing the Web of Science Core Collection (WoSCC) database from 1 January 2000 to 30 November 2022, the WoSCC literature analysis wire, VOSviewer 1.6.18, CiteSpace 6.1.R4 and Online analysis platform for bibliometrics were used to conduct the analysis. RESULTS: A total of 3988 publications, consisting of 3699 articles and 289 reviews, were included in our study. The United States emerged as the most productive country, while Kathleen Univ Leuven was the most productive institution. The leading author was Desloovere K. A total of 238 journals contributed to this field, with Developmental medicine and child neurology being the leading journal. Important keywords and keyword clusters included Spastic cerebral palsy, Reliability, and Gross motor function. Keywords identified through burst detection indicated that hotspots in this field were management, randomized controlled trials, and definition. CONCLUSION: Based on the analysis of bibliometric on spastic CP over the past 20 years, the trends and the knowledge graph of the countries, institutions, authors, references, and the keywords have been identified, providing accurate and expedited insights into critical information and potentially new directions in the study of spastic CP.

System's Crisis Resilience as a Societal Crisis: Knowledge Structure and Gaze of the Finnish Health Care System.

The crisis resilience of vital social systems is currently the target of constant development efforts in Finland, as their drifting into crisis would weaken societies' functional abilities, safety, and security. This is also the case regarding the Finnish health care system. In an attempt to move beyond existing frameworks of crisis imagination, this article takes an unconventional stance by elucidating endogenous crisis dynamics present in the Finnish health care system. Delphi process was conducted for top experts in Finnish health care and crisis management. With a dissensus-seeking orientation, our aim was to fertilize disagreements among panelists to reveal key vulnerabilities in the health system. Despite our efforts to evoke dissensus, the panelists ended up generating a consensus that aims to protect the underlying assumptions of the health system's knowledge structure. Through inductive analysis of expert discourses, the data was analyzed through our research question "what constitutes a crisis-proof health system and a crisis-prone health system". What is framed as a strength of the system by our panelists, namely the ability to maintain legitimacy, improve efficiency, and guarantee continuity, can still have questionable implications that are left ungrasped. A system's theory approach illustrates how such effects can develop and escalate beyond the reach of social interventions, and thus be predisposed to cause objectionable yet concealed social crises. The discussion illustrates how these endogenous crisis dynamics could be seen to materialize in real-life cases.

Exploring the Knowledge Structure and Trends for Severe COVID-19 Risk Factors Using Text Network Analysis.

This study was aimed to identify knowledge structure and trends in severe COVID-19 risk factor using text network analysis. The 22,628 papers published during from January 2020 to December 2021. We analyzed and visualized using Text Rank analyzer and Gephi software. They were grouped into 5 central themes - biomedical factors, occupational environmental factors, demographic factors, health behavior factors, and complications. The emerging topics were identified to the chronological trends. This study can promote a systematic understanding of severe COVID-19 risk factors.

Bibliometric analysis of transforaminal lumbar interbody fusion: research status, trends, and future directions.

Purpose: Transforaminal lumbar interbody fusion (TLIF) is a classic surgical procedure for posterior lumbar fusion. This study aims to analyze the TLIF field by bibliometric method and comprehensively summarize the research status and trends. Methods: All TLIF-related articles were retrieved from the Web of Science. The data were analyzed using R software and SPSS to calculate corresponding indicators. Visualizations were drawn using VOSviewer and Scimago Graphica, including country, institution, journal, author, and keywords. Results: A total of 919 articles were included. The annual publication volume of TLIF-related articles presented an exponential growth. North America, Europe, and Asia were the main sources of articles, with the USA and China being the main contributors and the USA being the global research center for TLIF. The level of the national economy was an important factor affecting TLIF-related research. The highest number of contributions in this field was made by Kern Singh among authors and by Rush University among institutions. The European Spine Journal was the most influential journal. The research focus has gradually shifted from perfecting the TLIF technique toward emphasizing the patient level. The improvement of minimally invasive techniques and how to improve clinical outcomes as well as accelerate postoperative rehabilitation of patients may be the hot spot of future research. Conclusions: With the advancement of medical technology and the popularization of minimally invasive concepts in recent years, TLIF and its derivative technologies have attracted increasing attention. Patient-centered minimally invasive surgery is a hot research topic in the field of TLIF currently and will continue to be so into the future.

Interdisciplinary college curriculum and its labor market implications.

This article sheds light on how to capture knowledge integration dynamics in college course content, improves and enriches the definition and measurement of interdisciplinarity, and expands the scope of research on the benefits of interdisciplinarity to postcollege outcomes. We distinguish between what higher education institutions claim regarding interdisciplinarity and what they appear to actually do. We focus on the core academic element of student experience-the courses they take, develop a text-based semantic measure of interdisciplinarity in college curriculum, and test its relationship to average earnings of graduates from different types of schools of higher education. We observe that greater exposure to interdisciplinarity-especially for science majors-is associated with increased earnings after college graduation.

Comprehensive analysis of research related to rehabilitation and COVID-19, hotspots, mapping, thematic evolution, trending topics, and future directions.

BACKGROUND: This study conducted a comprehensive analysis of research pertaining to the intersection of rehabilitation and COVID-19 (COV-REH). The main aim of this study is to analyze the thematic progression and hotspots, detect emerging topics, and suggest possible future research directions in the COV-REH. METHODS: Appropriate keywords were selected based on the Medical Subject Headings (MeSH) PubMed database and the Scopus database were used to retrieve a total of 3746 original studies conducted in the English language. The data extraction was performed on June 30, 2023. VOSviewer and Bibliometrix utilize CVS and BibTex files to facilitate the performance analysis and generate visual maps. The performance indicators reported for the research components of the COV-REH were compiled using the Scopus Analytics tool. RESULTS: From 2003 to 2023, 3470 authors from 160 organizations in 119 countries generated 3764 original research documents, with an annual growth of 53.73%. 1467 sources identified these scholarly works. Vitacca, M. (Italy), Harvard University (USA), and the USA published the most articles. This study included 54.1% of medical scholars. Telerehabilitation, exercise, quality of life, case reports, anxiety, and pulmonary rehabilitation were the primary themes of the COV-REH. One component of "telerehabilitation" is now the cardiac rehabilitation cluster. The trending topics in COV-REH are "symptoms," "protocol," and "community-based rehabilitation". CONCLUSIONS: This study proposed several significant research directions based on the current thematic map and its evolution. Given that COV-REH investigations have been determined to be multidisciplinary, this study contributes conceptually to several fields and has wide-ranging implications for practitioners and policymakers.

Diabetes mellitus research in Saudi Arabia: A bibliometric study (2010-2021).

Diabetes Mellitus (DM) causes global exhaustion, consumes economic resources, and has several risk factors. The bibliometric studies re-evaluate the research efforts on this illness using mathematical and statistical tools to indicate current research and future trends. This study examines KSA's DM research during 2010-2021. Data were acquired from Scopus and analyzed using VOSviewer and MS Excel. Several characteristics were examined to measure the quantity and quality of KSA-related DM articles. In total, 1,919 journal and conference papers were published. DM research included researchers from multidisciplinary sectors. Thirty-seven percent of them have ten or more scientific publications. Al-Daghri, N.M. (King Saud University) leads the pack. In total, 757 (39.44%) research projects got funding from 159 sources within and outside KSA. Memish, Z.A. is the most cited author. The Saudi Medical Journal has the most citations (1214). Al-Daghri, N.M. (KSU) collaborates the most. One hundred forty-one nations aided KSA's diabetes research. Egypt's High Institute of Public Health has the most scientific collaboration with KSA. Authors' and all Keywords analyses indicated a rich knowledge structure. Diabetes Care Journal has the most cocitations with 2,220 and a total link strength of 19,283, followed by The New England Journal of Medicine. The study results will be helpful to stakeholders to understand better the trends and performance of diabetes-related regional research, which will be beneficial.

Research Progress and Hot Spot Analysis of the Propagation and Evolution Law of Prefabricated Cracks in Defective Rocks.

The generation of rock mass disasters in underground engineering essentially arises from the disruption of the original three-dimensional stress equilibrium of the rock mass caused by excavation and other activities, leading to the redistribution of stress fields. During the excavation process, the engineering rock mass undergoes complex dynamic stress equilibrium processes involving loading and unloading. This equilibrium process promotes the nucleation, initiation, and propagation of pre-existing cracks in the surrounding rock, resulting in changes in the internal structure of the rock mass and a weakening of its strength. Eventually, this localized cracking extends to global failure. In order to understand the current status better and study the development trends in the study of crack propagation and evolution in defective rock, this study conducts a bibliometric analysis of 288 articles from the Web of Science Core Collection database using CiteSpace software (version 6.1.R4). The results indicate an increasing trend in the annual publication output, characterized by two phases of emergence and rapid development. The countries of China, the United States, and Iran have the highest publication output in this field. The most frequently cited journals include INT J ROCK MECH MIN, ENG FRACT MECH, and ROCK MECH ROCK ENG. This study provides a comprehensive analysis of the current status and development trends in the research on the propagation and evolution of pre-existing cracks. This study enhances the comprehension of crucial aspects of crack propagation and evolution in rock materials with defects. Moreover, it opens up new possibilities for future investigations and holds promising implications for researchers and practitioners in the field.

Investigating online learners' knowledge structure patterns by concept maps: A clustering analysis approach.

A deep understanding of the learning level of online learners is a critical factor in promoting the success of online learning. Using knowledge structures as a way to understand learning can help analyze online students' learning levels. The study used concept maps and clustering analysis to investigate online learners' knowledge structures in a flipped classroom's online learning environment. Concept maps (n = 359) constructed by 36 students during one semester (11 weeks) through the online learning platform were collected as analysis objects of learners' knowledge structures. Clustering analysis was used to identify online learners' knowledge structure patterns and learner types, and a non-parametric test was used to analyze the differences in learning achievement among learner types. The results showed that (1) there were three online learners' knowledge structure patterns of increasing complexity, namely, spoke, small-network, and large-network patterns. Moreover, online learners with novice status mostly had spoke patterns in the context of flipped classrooms' online learning. (2) Two types of online learners were found to have different distributions of knowledge structure patterns, and the complex knowledge structure type of learners exhibited better learning achievement. The study explored a new way for educators to analyze knowledge structures by data mining automatically. The findings provide evidence in the online learning context for the relationship between complex knowledge structures and better learning achievement while suggesting the existence of inadequate knowledge preparedness for flipped classroom learners without a special instructional design.

Analysis of the structure of scientific knowledge on wine tourism: A bibliometric analysis.

This research offers a bibliometric analysis of 588 publications on wine tourism published between 1998 and 2021, highlighting the years of publication, the publication format, the fields of research, the authors, the institutions, the main journals and the country of origin of both the authors and the scientific production analyzed. To our knowledge, no bibliometric study has focused on the study of wine tourism, so this study aims to fill this research gap, serving as a reference guide for both academics and professionals in the wine sector who want to know in depth how the study of this type of tourism has been approached. The results of the research show that the academic study of wine tourism dates back to the end of the 1990s, with the New World countries standing out in its study, especially Australia as the country with the highest scientific production and the largest number of academics focused on the study of this type of tourism. The study allows us to highlight the value of academic articles as the main means of disseminating research results, these being focused on tourism, business, economic and cross-cutting research. The results reveal relevant conclusions for academics, winemakers and tourism managers on the knowledge structure of wine tourism activity.

Clinical reasoning pattern used in oral health problem solving - A case study in Indonesian undergraduate dental students.

BACKGROUND: Health professionals are known to use various combinations of knowledge and skills, such as critical thinking, clinical reasoning, clinical judgment, problem-solving, and decision-making, in conducting clinical practice. Clinical reasoning development is influenced by knowledge and experience, the more knowledge and experience, the more sophisticated clinical reasoning will be. However, clinical reasoning research in dentistry shows varying results . AIMS: This study aims to observe the clinical reasoning pattern of undergraduate dental students when solving oral health problems, and their accordance with their knowledge acquisition. MATERIAL AND METHODS: This qualitative study employed the think-aloud method and the result was assessed through verbal protocol analyses. Five respondents from final year dental undergraduate students were agreed to participate. A unique hypothetical clinical scenario was used as a trigger. The audio data were transcribed, interpreted, and categorized as a clinical reasoning pattern; and the concept maps created were assessed by a Structure of Learning Outcomes (SOLO) taxonomy as knowledge acquisition. RESULTS: Observations on clinical reasoning patterns and the level of knowledge acquisition in five undergraduate dental students showed varying results. They applied clinical reasoning patterns according to their knowledge acquisition during didactical phase. Learners with inadequate knowledge relied on guessing, meanwhile learners with adequate knowledge applied more sophisticated reasoning pattern when solving problems. CONCLUSIONS: Various problem-solving strategies were encountered in this study, which corresponded to the level of knowledge acquisition. Dental institutions must set minimum standards regarding the acquisition of conceptual knowledge accompanied by improvement of clinical reasoning skills, as well as refinement of knowledge and procedural skills.

Uncover the reasons for performance differences between measurement functions (Provably).

Recently, an exciting experimental conclusion in Li et al. (Knowl Inf Syst 62(2):611-637, 1) about measures of uncertainty for knowledge bases has attracted great research interest for many scholars. However, these efforts lack solid theoretical interpretations for the experimental conclusion. The main limitation of their research is that the final experimental conclusions are only derived from experiments on three datasets, which makes it still unknown whether the conclusion is universal. In our work, we first review the mathematical theories, definitions, and tools for measuring the uncertainty of knowledge bases. Then, we provide a series of rigorous theoretical proofs to reveal the reasons for the superiority of using the knowledge amount of knowledge structure to measure the uncertainty of the knowledge bases. Combining with experiment results, we verify that knowledge amount has much better performance for measuring uncertainty of knowledge bases. Hence, we prove an empirical conclusion established through experiments from a mathematical point of view. In addition, we find that for some knowledge bases that cannot be classified by entity attributes, such as ProBase (a probabilistic taxonomy), our conclusion is still applicable. Therefore, our conclusions have a certain degree of universality and interpretability and provide a theoretical basis for measuring the uncertainty of many different types of knowledge bases, and the findings of this study have a number of important implications for future practice.

Research trends in the field of retinitis pigmentosa from 2002 to 2021: a 20 years bibliometric analysis.

PURPOSE: To analyze publication trends for the past 20 years and identify potential research trends in the retinitis pigmentosa (RP) research field. METHODS: We extracted data from the Web of Science Core Collection and conducted a bibliometric analysis. All records related to RP from 2002 to 2021 were analyzed. The co-occurrence maps of keywords were generated by VOSviewer v.1.6.17 to identify knowledge structure and research trends in the RP research field. RESULTS: Totally 1976 publications from 2002 to 2021 were included in this study. The United States ranked first in the number of publications, citations and H-index. INVESTIGATIVE OPHTHALMOLOGY VISUAL SCIENCE was the most prolific journal in the RP research field. LEAGUE OF EUROPEAN RESEARCH UNIVERSITIES LERU had the greatest output in the RP research field. Tsang SH contributed to the highest number of publications in the RP research field. All keywords were divided into three clusters: (1) gene mutations, (2) pathophysiological changes, and (3) diagnosis and management in the RP research field. Average appearing years of keywords were evaluated and most of the recently appearing keywords focused on the pathophysiological changes. CONCLUSIONS: By bibliometric analysis, the knowledge structure of RP research field was identified. It may help clinicians to comprehensively understand the hotspots and guide the research trends in the RP research field.

Medication safety education in nursing research: Text network analysis and topic modeling.

OBJECTIVES: This study aimed to identify the knowledge structure of medication safety nursing education literature by developing schematic diagrams of the relationship between keywords from a macro perspective. This study also identifies the research topics and trends over time. DESIGN: This quantitative content study used text network analysis to explore keywords and research topics using topic modeling within the medication safety nursing education literature. DATA SOURCES: PubMed, EMBASE, and Cochrane databases were used to search for the medication safety nursing education literature published until December 2021. METHODS: Keywords from 2085 articles were examined using text network analysis and topic modeling with NetMiner 4.4.3. RESULTS: The keywords with the most frequency and the highest networking degree in centrality were "patient," "medication," "program," "nurse," and "care." The emerging keywords assessed by time periods were identified; the first phase ("heart failure," "insulin," "chemotherapy," and "infusion"), the second phase ("medication errors," "staff," and "information"), the third phase ("program," "management," and "data"). The results of topic modeling were as follows: safe medication administration, safe medication reconciliation process, medication education for patients, medication errors in nursing practice, and multidisciplinary teamwork for medication safety. CONCLUSION: These findings will help nursing researchers and educators to understand the trends and insights for medication safety education and educate future nurses to provide safer nursing care.

CD-polytomous knowledge spaces and corresponding polytomous surmise systems.

Heller (2021) generalized quasi-ordinal knowledge spaces to polytomous items. Inspired by this paper, we propose CD-polytomous knowledge space and its polytomous surmise system. A Galois connection is established between the collection K of all polytomous knowledge structures and the collection F 1 of particular polytomous attribute functions. The closed elements of the Galois connection are CD-polytomous knowledge spaces in K and polytomous surmise functions in F 1 , respectively. With the help of these, this paper provides a characterization of the polytomous knowledge structure corresponding to the polytomous surmise function that is weakly factorial. Based on the finite sets of items and response values, these results generalize the previous approaches for polytomous knowledge spaces.

Mapping the field of bioenergy with carbon capture and storage (BECCS): scientific cooperation and co-citation analyses.

Bioenergy with carbon capture and storage (BECCS), as the most scalable negative emission technology, can limit global warming to 1.5 ℃ under climate change scenarios. With increasing research on BECCS, concerns have been raised about its deployment and impacts. In view of the limited research on the possible structure and collaboration in the field of BECCS, this study sought to determine the scientific cooperation and knowledge structure using bibliometric approaches based on a science mapping analysis. Co-authorship and co-citation networks were developed from CiteSpace to explore the individual, institutional, and national collaborations, and detect the knowledge structure in the field of BECCS. Six key research groups with connections were found with the research group centered on NIALL MAC DOWELL and PETE SMITH being more focused on BECCS. Cluster analysis results show that the knowledge structure of BECCS has gradually formed. The research field has been continuously developed and relatively independent. The findings provide researchers with an in-depth understanding of the current state of BECCS research and its knowledge structure.