Research Trends Research Articles

Advances and trends in research on mathematical working spaces: A systematic review

This study addresses the research developed around the theory of mathematical working spaces (MWS). To this end, factors such as researchers’ country of origin are considered, as well as methodological characteristics, proposed objectives in each study, specific theoretical factors, and the links between MWS and other theoretical perspectives. This systematic review follows the guidelines stated by reporting items for systematic reviews and meta-analyses for documenting each stage of the review. In total, 102 studies were considered from databases including Dialnet, SciElo, Scopus, and Web of Science. The results help to illustrate research trends in MWS theory, as well as the possibility of fertile ideas for new studies and future lines of research for those interested in this theoretical approach.

A systematic review on research trends, datasets, algorithms, and frameworks of children’s nutritional status prediction

<a name="_Hlk138773759"></a><span lang="EN-US">The monitoring of children's nutritional status serves as a crucial tool for assessing the health of both children and society as a whole. In this regard, machine learning has been employed to predict nutritional status for monitoring purposes. This topic has been extensively discussed; however, the question remains as to which algorithm or machine learning framework can yield the highest accuracy in predicting the nutritional status of children within a specific region. Furthermore, determining the appropriate dataset for predictions is also crucial. Therefore, this review aims to identify and analyze the research trends, dataset characteristics, algorithms, and frameworks utilized in studies pertaining to the nutritional status of children under the age of five from 2017 to early 2022. The selected papers focus on the application of machine learning techniques in predicting nutritional status. The findings of this research reveal that the Bangladesh DHS 2014 dataset is among the popular choices for machine learning applications in this field. The most commonly employed algorithms include Neural Networks, Random Forests, Logistic Regression, and Decision Trees which demonstrated promising performance. Lastly, the data preprocessing stage within a framework plays a significant role in models aimed at predicting nutritional status.</span>

Global trend of nondrug and nonsedativehypnotic treatment forinsomnia: a bibliometric study.

To present a bibliometric analysis of global scientific publications on the nondrug and nonsedative hypnotic treatment of insomnia with regard to influential institutions, publications, countries, research hotspots, trends, and frontiers. A literature review was conducted by searching the Web of Science Core Collection (WoSCC) and China National Knowledge Infrastructure (CNKI) databases to identify all publications related to the nondrug and nonsedative hypnotic treatment of insomnia from 2000 to 2021. Eligible publications were reviewed, including annual publication increments, citation analyses, international collaborations, and keyword analyses. The data were analysed using CiteSpace (vers5.8.R3, 6.1.R2 and 6.1.6, College of Computing and Informatics, Philadelphia, PA, USA) and virtualized by knowledge maps. RESULTS：In total, 9832 publications were included in this analysis. The results from the WoSCC showed that the United States of America (Count = 2268, 40.33%), Stanford University (Count = 141, 2.51%), and the United States Department of Health and Human Services were the leading country, institute, and funding agency regarding the number of publications, respectively. 'Cognitive-behavioural therapy" was the most popular research topic generated from the cocited reference. The most frequently co-occurring keywords were insomnia, cognitive behavioural therapy, disorder, depression, quality of life, Meta-analysis, older adult, sleep, prevalence and efficacy, while keywords including clinical practice guideline, guideline, and Tai Chi remained popular after 2021. Circadian rhythm was the strongest research frontier for 2000-2021. In China, Chengdu University of Traditional Chinese Medicine (Count = 69, 4.79%) was the most productive institute in this field. The most frequently co-occurring keywords from Chinese literature were sleep disorder, sleep quality, acupuncture and moxibustion, Parkinson's disease, transcranial magnetic stimulation, health education, music therapy, chronic insomnia, quality of life, and nonmotor symptoms. Traditional Chinese medicine was the strongest research frontier for 2019-2021. This bibliometric study provides an exhaustive mapping encompassing pertinent institute, publications, influential articles, researchers and topics of the global trend of nondrug and nonsedative hypnotic treatment for insomnia. The results show that the research trend has shifted from primary studies on the efficacy and safety of nondrug and nonsedative hypnotic treatment for insomnia to comorbidity studies. Clinical practice guidelines will potentially become the research frontier for this field post-2021. The findings are important for researchers, clinicians, journal editors, and policy-makers working in the field of nondrug and nonsedative hypnotic treatment for insomnia to understand the strengths and potentials in the current studies and guide future clinical practice, research, and science policy.

Ecoanxiety and mental health unveiled: a bibliometric analysis

Ecoanxiety, which encompasses the psychological impacts of environmental change, has emerged as a pressing global concern. However, the complex interrelationship between environmental factors and mental health in the context of ecoanxiety remains underexplored. This bibliometric analysis examines the evolution of international research on ecoanxiety and mental health using the Scopus and Web of Science databases. Parameters analyzed include publication trends over time, contributing countries, research foci, and keyword frequencies related to climate change, ecoanxiety, mental health, and solastalgia. The findings reveal surging scholarship in recent years, exponential publication growth, and increasing international collaborations. The total of 214 documents initially retrieved, 122 peer-reviewed publications met the inclusion criteria after pre-processing. The analysis provides a comprehensive overview of the current state of ecoanxiety and mental health research. It elucidates patterns in the emergence and progression of this burgeoning field to inform future research directions. Specifically, the elucidated features regarding keyword usage and research trends establish a foundation to advance investigations on the nexus between environmental issues and psychological well-being. This bibliometric study synthesizes existing knowledge and unveils fruitful avenues to progress understanding of the psychological ramifications of ecological crises.

Smart grid deployment: from a bibliometric analysis to a survey

Smart grids are one of the last decades' innovations in electrical energy. They bring relevant advantages compared to the traditional grid and significant interest from the research community. Assessing the field's evolution is essential to propose guidelines for facing new and future smart grid challenges. In addition, knowing the main technologies involved in the deployment of smart grids (SGs) is important to highlight possible shortcomings that can be mitigated by developing new tools. This paper contributes to the research trends mentioned above by focusing on two objectives. First, a bibliometric analysis is presented to give an overview of the current research level about smart grid deployment. Second, a survey of the main technological approaches used for smart grid implementation and their contributions are highlighted. To that effect, we searched the Web of Science (WoS), and the Scopus databases. We obtained 5,663 documents from WoS and 7,215 from Scopus on smart grid implementation or deployment. With the extraction limitation in the Scopus database, 5,872 of the 7,215 documents were extracted using a multi-step process. These two datasets have been analyzed using a bibliometric tool called bibliometrix. The main outputs are presented with some recommendations for future research.

Review: Perovskite Nanostructures Materials Versatile Platform for Advance Biosensor Applications

The distinct presence of a central atom surrounded by eight ligands leads to higher light absorption and charge carrier mobility in perovskite materials. The peculiar nature of the structure inspires all the scientists and researchers to work more in sustainable applications, such as solar cells, light emitting diodes, transistor and biosensors. The capability of perovskite material in detecting smaller molecules such as O2, NO2 and CO2 is higher. Therefore, several biosensors are demonstrated based on the perovskite nanomaterial to various chemical and biological species with both solid and solution states. The immense sources of research articles thrived the author, to review the perovskite nanomaterials in the dimension of biosensor application extensively. This review covers major three areas of perovskite nanomaterial, such as components and characteristics of biosensors, properties and preparation of perovskite materials and application and research trends of perovskite nanostructure biosensor.

Developing a growth mindset in education: a bibliometric analysis and its challenge during pandemic

The growth mindset is essential for learning because students encounter numerous obstacles during the pandemic. However, only a few studies have examined research trends in growth mindset pedagogy. In filling this gap, this study aims to conduct a bibliometric study using the growth mindset pedagogy during the pandemic. Data from 81 Scopus-sourced scholarly articles on growth mindset in education from 2020–2022 was used. VOSviewer qualitatively analyzed the data. Results showed that the research cluster’s growth mindset is diverse and adaptive to learning dynamics, notably during the COVID-19 pandemic. Several research clusters examined instructors, students, and parents’ roles in learning. Another cluster focuses on academic achievement and teacher efforts to improve student performance. The research addresses student issues like depression, academic fatigue, and suicide ideation. Research on a growth mindset in education has grown quantitatively since 2021. Clusters 1, 2, and 4, 5 have the most research on active learning design to improve student academic performance and accomplishment through teachers and other supporting elements. Even though academic fatigue can lead to depression and suicidal ideation, research on academic achievement-related student issues is scarce. In conclusion, a growth mindset can significantly enhance academic performance and solve learning problems.

Scaling effectivity in manifold methodologies to detect driver’s fatigueness and drowsiness state

The state of fatigueness and drowsiness relates to the stressed physical and mental condition of a driver that reduces the ability of a driver to drive safely leading to fatal consequences of road accidents. With a rising concerns about the road safety, the premium and modern vehicles are coming up with a sophisticated technology to detect and rise alarm during the positive case of fatigueness and drowsiness. Irrespective of availability of archives of literatures towards solving this problem, it is quite unclear about the strength and weakness of varied methodologies. Therefore, this paper presents a crisp and insightful discussion about the recent methodologies associated with detecting driver's attention, fatigueness, drowsiness along with highlights of commercial devices to realize various limiting factors and constraints associated with them. The paper contributes to introduce a well-structured flow of research trend to realize various patterns of current trend adopted towards solving varied problems and significant research gaps have been identified in this process. The outcome of this paper presents that still there is an open scope of an improvement towards accomplishing the agenda towards safer driving.

비대면 화상 집단상담에 대한 체계적 문헌고찰

Objectives This study conducted a systematic literature review to examine research trends and confirm the char-acteristics and effects of modulating variables by examining research on non-face-to-face video group counseling. Methods Among the studies related to non-face-to-face video group counseling, papers published from January 2020 to August 2023 were collected. The academic search database used for thesis search was the Academic Research Information Service (RISS), the Korean Academy of Information (KISS), and the Academic Database Service (DBpia). The search terms used for the research were used by combining non-face-to-face, video, group, program, counseling, and effect. Based on the selection criteria and exclusion criteria, the final 31 papers were used for analysis. Results Looking at the classification by symptom level, a significant number of studies were concentrated in the general group (87.1%). In terms of classification according to the stage of development, adults (61.3%) and college students or higher (29.0%). The theoretical approach was mindfulness meditation (35.7%), cognitive emotional behavior (17.9%), and integrated approach (14.3%), and the intervention areas were emotions (24.7%), stress (16.4%), and self-concept (15.1%). Regarding the intervention effect, improvements in emotions, stress, inter-personal relationships, and cognitive domains were confirmed. The self-concept and subjective well-being were mixed with conflicting reports. Conclusions In terms of symptoms, additional research is needed including the clinical group including social anxiety, and in terms of developmental stage, including elementary school students and the elderly. Since con-flicting reports are mixed in the areas of self-concept and subjective well-being, a comprehensive and systematic analysis including meta-research needs to be conducted. This study is significant in that it understands the re-search trends of non-face-to-face video group counseling and the effects of each intervention area, and suggests future research directions.

조절초점과 진로 변인의 상관관계에 관한 동향 연구와 메타분석

Objectives The purpose of this study is to analyze the trends in career-related research on the theme of regulatory focus by examining the studies conducted both domestically and internationally, and to present the correlation analysis results between regulatory focus and its associated career variables based on these findings. Methods For this aim, the trends in studies on career-related variables based on Higgins' regulatory focus theory from 2000 to 2023 investigated. It also conducted a meta-analysis based on the quantitative research results of individual career studies, focusing on the regulatory focus. Results The career variables related to the regulatory focus are frequently utilized in the order of behavior, out-come, context, cognition, emotion, motivation, and personality. The correlation between the promotion focus and career variables was found to be stronger than that between the prevention focus and career variables. Moreover, the promotion focus was found to have a stronger correlation with positive career variables than the prevention focus. Conclusions We offered implications that to lead the regulatory fit in career education and counseling. It is effec-tive to encourage individuals with an promotion focus to first enhance their understanding of their personal char-acteristics and utilize their strengths related to their goals. Additionally, for individuals with a prevention focus, it is beneficial to initially gain an understanding of the environmental possibilities that may result in losses, and then to establish concrete strategies to minimize these losses while enhancing their understanding of their personal characteristics.

Global Copyright Consortium: Empowering Decentralisation with Authority - Backed Blockchain

Abstract: Digital images are transferred with ease through the network. Many users are using the images without the knowledge of the owners. Zero watermarking does not alter the original information contained in vector map data and provides perfect imperceptibility. The use of zero watermarking for data copyright protection has become a significant trend in digital watermarking research. However, zero watermarking encounters tremendous obstacles to its development and application because of its requirement to store copyright information with a third party and its difficulty in confirming copyright ownership. However, traditional digital image generation methods have high operational requirements for designers due to difficulties in collecting data sets and simulating environmental scenes, which results in poor quality, lack of diversity, and long generation speed of generated images, making it difficult to meet the current needs of image generation.

Trends of Physics Critical Thinking Skill Research in Indonesia: A Systematic Literature Review

Critical thinking skills are fundamental in 21st-century teaching. This study aims to identify trends in research on critical thinking skills in physics in Indonesia, as reported in journal articles published between 2016 and 2022. This is meta-analysis research using the Prisma model. There were 36 articles that met the selection criteria. We performed the data analysis manually and used VOSviewer software. The indicators used for data analysis include the year, type of research, research subject, topic, treatment, data collection instrument, and the application of data analysis in each article. The analysis of article reviews reveals that the research trend for critical thinking skills in physics in Indonesia has increased, with more publications expected in 2020. Temperature and heat are the physics topics that have become the focus of research. High school students in grade X are the most frequently selected research subjects. Research on physics education typically employs quantitative methods, employs a quasi-experimental design, and utilizes a test as a data collection instrument. The most common method of data analysis in research is the t-test.

Sustainable human resource management: a mixed-method analysis of the research field focusing on the visegrad countries

PurposeI aimed to analyze and synthesize the literature on sustainable HRM and its sub-concepts, such as green HRM and socially responsible HRM, with the focus on research conducted in the Visegrad Group (V4) countries. I posed the following research questions: (1) What are the main characteristics of sustainable HRM research in the worldwide literature? (2) What are the main characteristics of research conducted in the V4 countries? (3) Which future research directions are promising gaps to be filled by research conducted in V4 countries?Design/methodology/approachFor the purpose of this study, I applied bibliometric analysis, scientific network analysis and in-depth content analysis.FindingsThe results of the analyses of articles indexed in the Scopus database revealed that there is a growing trend in research on sustainable HRM. However, scarce research comes from the V4; scholars have conducted such studies only in Slovakia and Poland. There are five thematic clusters in the main sample, though the concept of green HRM has been explored the most. Although the keyword network analysis showed that the V4 articles focus mostly on sustainable HRM, the in-depth content analysis provided evidence that the V4 sample represented all concepts.Originality/valueThis is the first study to analyze the achievements of scientists from the V4 in this research field. It applies methodological rigor and a mixed-method approach. Moreover, it presents directions of research that go beyond the recommendations presented in the analyzed articles.

Healthy Mouth, Healthy Lungs: Novel Solutions for Preventing and Diagnosing Periodontal Disease in the Context of Chronic Respiratory Illness

ABSTRACT Chronic respiratory illnesses, such as chronic obstructive pulmonary disease and asthma, pose significant challenges to public health worldwide. Mounting evidence suggests a bidirectional relationship between respiratory health and oral health, with periodontal disease emerging as a potential risk factor for the development and exacerbation of respiratory conditions. This review paper explores the complex interplay between periodontal disease and chronic respiratory illness, highlighting the importance of oral health maintenance in promoting respiratory well-being. By examining recent advancements in the prevention and diagnosis of periodontal disease, particularly in the context of chronic respiratory conditions, this paper aims to elucidate novel solutions and strategies for improving oral health outcomes and respiratory outcomes simultaneously. Through a comprehensive analysis of the literature and emerging research trends, this review sheds light on the potential benefits and challenges of integrating oral health into the management of chronic respiratory illnesses and identifies opportunities for future research and clinical practice.

Research trends in interprofessional education programs related to medication for undergraduate nursing students: a scoping review

Research trends in interprofessional education programs related to medication for undergraduate nursing students: a scoping review

A bibliometric analysis of scientific literature on alternate wetting and drying (AWD)

AbstractThe study presents a bibliometric analysis of scientific literature on alternate wetting and drying (AWD) as a water-saving irrigation practice for rice cultivation. Data were collected from the Web of Science, resulting in a database of 439 articles written by 2574 authors in 167 journals. The study reveals the growing importance of AWD in publications from the 90s to mid-2022, with fast growth and reaching its peak in the last 5 years, suggesting that the full potential of AWD remains yet to be realised and explored. Most papers are produced in oriental countries, except the USA and Australia. The trend of keywords in the research on AWD reveals a persistence of certain themes throughout the years while simultaneously showcasing a clear evolution of the topics being addressed. In addition to optimising productivity and agricultural yields, research now encompasses environmental issues and human and crop health, reflecting a broader trend in agriculture and research towards sustainable and environmentally responsible practices. This analysis provides insights into the development and direction of research in AWD, emphasising the need for future research to address the emerging concerns of the impact of AWD on the environment, human and crop health, and economic profitability of AWD adoption.

Unveiling current and future trends in customer banking experience research: a bibliometric analysis

PurposeThis research is the first to use bibliometric analysis to provide insight into the landscape and forecast the future of customer experience research in the banking sector.Design/methodology/approachWe used bibliographic coupling and co-word analysis to delineate the existing knowledge structure after reviewing 338 articles from the Web of Science database.FindingsThe bibliographic coupling analysis revealed five key clusters: customer engagement and experience in digital banking; customer experience and service management; customer experience and market resilience; digital transformation and customer experience; and digital technology and customer experience—each representing a significant strand of current research. In addition, the co-word analysis revealed four emerging themes: customer experience through AI and blockchain, digital evolution in banking, experience-driven ecosystems for customer satisfaction, and trust-based holistic banking experience.Practical implicationsThese findings not only sketch an overview of the current research domain but also hint at emerging areas ideal for scholarly investigation. While highlighting the industry’s rapid adaptation to technological advances, this study calls for more integrative research to unravel the complexities of customer experience in the evolving digital banking ecosystem.Originality/valueThis review presents a novel state-of-the-art analysis of customer banking experience research by employing a science mapping via bibliometric analysis to unveil the knowledge and temporal structure.

A bibliometric analysis of Quality 4.0: current status, trends and future research directions

PurposeThis review paper aims to explore and investigate the Quality 4.0 current knowledge, emerging areas, and trends available in the literature and provide insights for future research directions. The bibliometric analysis determines the most prominent journals, authors, countries, articles, and themes. The Citation and PageRank analysis identifies the most influential and prestigious articles. The author's keyword analysis identifies the research theme, patterns, and trends within a particular area of research.Design/methodology/approachThis study utilised the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analysis) declaration as a review protocol, and the data is retrieved accordingly. Therefore, 104 articles from Scopus and 28 from Web of Science were combined in R-Environment, and 25 duplicates were removed using RStudio. Finally, 107 papers were selected for further analysis. After the abstract level screening, the study reviewed 99 articles bibliographically published in peer-reviewed journals from prominent academic databases Scopus and WoS between 2011 to April 2023. We used the VOSviewer software tool for analysing bibliometric networks that allow the construction, visualisation, and exploration of maps based on any form of network data.FindingsThe review identified emerging themes: artificial intelligence, digitalization, sustainability, root cause analysis, topic modelling, and digital voice-of-customers. To establish the intellectual structure of the field and identify gaps, co-citation and content analysis were used. The content of 49 papers in the identified clusters was then carefully analysed. The four primary themes are the relationship of Quality 4.0 with Industry 4.0, the conceptualization of Quality 4.0, recommendations for the new Quality 4.0 model, and the impact of Quality 4.0. The findings provide an excellent foundation for future research in this field for policymakers, managers, practitioners, and academia.Originality/valueThis is the first systematic literature review-cum-bibliometric analysis on quality 4.0 that covers the field comprehensively. Based on the present review, the paper proposes six possible future research directions to investigate.

Microbial dysbiosis in systemic lupus erythematosus: a scientometric study

IntroductionSystemic lupus erythematosus (SLE) is a chronic autoimmune disease. Mounting evidence suggests microbiota dysbiosis augment autoimmune response. This study aims to provide a systematic overview of this research field in SLE through a bibliometric analysis.MethodsWe conducted a comprehensive search and retrieval of literature related to microbial researches in SLE from the Web of Science Core Collection (WOSCC) database. The retrieved articles were subjected to bibliometric analysis using VOSviewer and Bibliometricx to explore annual publication output, collaborative patterns, research hotspots, current research status, and emerging trends.ResultsIn this study, we conducted a comprehensive analysis of 218 research articles and 118 review articles. The quantity of publications rises annually, notably surging in 2015 and 2018. The United States and China emerged as the leading contributors in microbial research of SLE. Mashhad University of Medical Sciences had the highest publication outputs among the institutions. Frontiers in Immunology published the most papers. Luo XM and Margolles A were the most prolific and highly cited contributors among individual authors. Microbial research in SLE primarily focused on changes in microbial composition, particularly gut microbiota, as well as the mechanisms and practical applications in SLE. Recent trends emphasize “metabolites,” “metabolomics,” “fatty acids,” “T cells,” “lactobacillus,” and “dietary supplementation,” indicating a growing emphasis on microbial metabolism and interventions in SLE.ConclusionThis study provides a thorough analysis of the research landscape concerning microbiota in SLE. The microbial research in SLE mainly focused on three aspects: microbial dysbiosis, mechanism studies and translational studies (microbiota-based therapeutics). It identifies current research trends and focal points, offering valuable guidance for scholars in the field.

Study the Level of Inclusion in Disaster Risk Reduction for Inclusive Elementary School in Indonesia

This research aims to explain how disaster risk reduction in elementary schools can be implemented inclusively and to comprehensively understand research trends regarding DRR in inclusive elementary schools in Indonesia in 2013-2023.The research was conducted using bibliometric methods based on the 2013-2023 Google Scholar database. Data collection is supported using the Publish or Perish (PoP) application. We also use VOSviewer as a data visualization tool capable of creating meshes from processed data sets.From this search, 999 articles were found with the keywords inclusive, disaster risk reduction, elementary schools, and Indonesia. Found 11 terms based on network visualization which were grouped into 2 clusters. The term inclusive school appears 4 times and the term disaster risk reduction appears 14 times. Based on the research results, efforts are needed to be made through inclusive education programs in elementary schools that are in accordance with the need to reduce disaster risk in schools both before, during and after disasters