Research Trends Research Articles

Research Progress on Food-Derived Bioactive Peptides: An Overview of the 3rd International Symposium on Bioactive Peptides.

Interest in food-derived bioactive peptides is on the rise. In 2023, the 3rd International Symposium on Bioactive Peptides (ISBP) was held in Niagara Falls, Canada, to provide a platform for knowledge exchange, networking, and collaboration among researchers in this field. This article aims to provide a high-level overview of the key progress and emerging trends in bioactive peptides based on the 3rd ISBP. This review highlights the production of bioactive peptides from sustainable sources through the integration of artificial intelligence and wet-lab research, the emerging roles of bioactive peptides in cognitive function, and the ability of peptides to act as taste modifiers. The emerging research trend in bioactive peptides focuses on utilizing novel processing technologies, understanding peptide-receptor interactions, applying omics in mechanistic studies, conducting clinical trials, and facilitating product development and commercialization.

Research trends in innovation ecosystem and circular economy

Understanding innovation ecosystems and the circular economy is crucial for systemic change in business and industry, fostering eco-innovation and advancing sustainable development. This study uses bibliometric analysis to uncover the research trends, patterns, and collaborations, revealing a significant gap in understanding the interactions between innovation ecosystems and the circular economy and offering potential avenues for future research that align with sustainable development. The analysis was carried out with the help of Biblioshiny and VOSviewer on the final selected documents of 2981 from the Scopus database through a search query and the SPAR-4-SLR stages of filtration. The key findings of the study are as follows: collaboration among countries involves accessing countries’ resources, knowledge, markets, and location. The study explores research trends in the innovation ecosystem and circular economy, focusing on five key clusters: the circular economy for eco-innovation and resource recovery, circular business models for fostering sustainable innovation in the bioeconomy, sustainability through renewable energy and sdgs, the sustainable business model for enhancing green innovation through entrepreneurship, and Artificial Intelligence (AI) and the circular business model in Industry 4.0. The bibliometric analysis identifies trends, research gaps, and collaboration patterns, revealing potential avenues for future exploration in industrial symbiosis, energy transition, and the system of innovation. The study analyzed only the documents available in Scopus. The exclusion of papers based on the search period, language, document type, and incomplete details are the limitations of this research and open the scope of potential future research. The findings will help existing researchers in this field as well as new researchers interested in this field by clearly understanding trends and further research scopes. The study also offers actional recommendations and practices to policymakers. Practices, and entrepreneurs for the attainment of global sustainability goals. The novelty and originality of this study rely on a thorough literature review that describes the state of the art in the innovation ecosystem and circular economy.

Trends and Gaps in the Scientific Literature about the Effects of Nutritional Supplements on Canine Leishmaniosis.

In canine leishmaniosis (CanL), complex interactions between the parasites and the immunological background of the host influence the clinical presentation and evolution of infection and disease. Therefore, the potential use of nutraceuticals as immunomodulatory agents becomes of considerable interest. Some biological principles, mainly derived from plants and referred to as plant-derived nutraceuticals, are considered as supplementation for Leishmania spp. infection. This study provides a systematic review regarding the use of nutraceuticals as a treatment using a text mining (TM) and topic analysis (TA) approach to identify dominant topics of nutritional supplements in leishmaniosis-based research, summarize the temporal trend in topics, interpret the evolution within the last century and highlight any possible research gaps. Scopus® database was screened to select 18 records. Findings revealed an increasing trend in research records since 1994. TM identified terms with the highest weighted frequency and TA highlighted the main research areas, namely "Nutraceutical supports and their anti-inflammatory/antioxidant properties", "AHCC and nucleotides in CanL", "Vit. D3 and Leishmaniosis", "Functional food effects and Leishmaniosis" and "Extract effects and Leishmaniosis". Despite the existing academic interest, there are only a few studies on this issue so far, which reveals a gap in the literature that should be filled.

A comprehensive analysis of supercapacitors with current limitations and emerging trends in research

A comprehensive analysis of supercapacitors with current limitations and emerging trends in research

<span><strong>Researching</strong><strong> STEAM in early childhood education between 2013-2023: A bibliometric analysis of Scopus database</strong></span>

This study investigates global research trends on STEAM in early childhood education from 2013 to 2023. The bibliometric analysis method was utilized to analyze a dataset of 129 documents extracted from the Scopus database. The results reveal a growing interest in this field, with a notable increase in the number of publications from 2019 to 2023 compared to 2013-2018. The USA leads in both the number of publications and citations. "Early Childhood Education Journal" is the most prominent, while “Sullivan A” and “Bers MU” gain the most significant impact on this research topic. This review study identifies four main thematic clusters: (1) core aspects of STEAM in early childhood education, (2) gender equality in STEAM education, (3) technology and engineering education, and (4) applying this approach to early childhood education. Research trends indicate a growing interest in topics such as computer literacy, creativity, and children's learning processes in STEAM education. The authors propose several recommendations to guide future research in this area.

Exploring the Integration of Chinese Music in Western Musicological Literature: Trends, Gaps, and Multicultural Perspectives

The purpose of the article is to analyse Western musicological literature to identify key trends and gaps in existing research on Chinese music as an integral part of the contemporary multicultural educational space. The research methodology is based on content analysis, comparative analysis, and bibliographic review. The primary method is content analysis, involving a systematic review of academic articles, monographs, reviews, and other publications on Chinese music in Western musicological literature. Comparative analysis is used to compare Western research on Chinese music with scholarly work from China and other countries. Bibliographic review helps to identify scientific gaps and trends in Chinese music research. The scientific novelty of the study lies in the comprehensive analysis of Western musicological literature on Chinese music to reveal key trends and gaps in existing research. The use of content analysis, comparative analysis, and bibliographic review allows for the first systematic organisation and comparison of approaches to studying Chinese music in different cultural contexts. The study also provides new insights into the role of Chinese music in the contemporary multicultural educational space, contributing to its integration and popularisation. Conclusions. Over the past three decades, publications on Chinese music within the context of multicultural music education have been irregular. Although the number of studies is not large, it shows moderate activity in the 1990s and early 2000s, with a noticeable increase after 2007 and periods of decline between 2010 and 2014. This indicates the need for further analysis of the reasons behind this dynamic and a deeper exploration of the integration of Chinese music into the Western educational context. The literature review shows that research covers a broad range of educational contexts, from early childhood to higher education and teacher professional development, indicating the potential for integrating Chinese music at various levels of formal education. The review also reveals that research on Chinese music often has a Eurocentric approach, evaluating it through the lens of Western music theory. This limits the full understanding and integration of Chinese musical traditions, highlighting the need for a deeper and more comprehensive approach that would foster an understanding of Chinese music in its own context.

Research status and development direction of smart heritage: a bibliometric review (1994-2024)

ABSTRACT Smart heritage, an emerging and sustainable paradigm, utilises technology to conserve and enhance cultural heritage. Despite integration into smart city development, full implementation remains unrealised. Consequently, this study aims to investigate the status and trends of smart heritage research, explore the development direction of smart heritage, bridge existing knowledge gaps, and guide its integration into smart city development. This study employs a bibliometric analysis method, supported by machine algorithms, to obtain scientific and quantifiable results. The study utilises the bibliometric analysis software CiteSpace 6.2R6 to analyze 981 articles from the Web of Science Core Collection, covering 1994 to 2024. We observe a notable increase in scholarly output over time, especially in smart cities and digital cultural strategies, where smart heritage has emerged as a research hotspot across various disciplines and domains. Smart heritage crosses three stages: digital technology application, technology integration, and multidisciplinary integration, showcasing diverse technological applications, service scenarios, and application domains. Moving forward, we must prioritize a comprehensive research agenda, including theoretical constructs, smart cultural infrastructure, robust policy, public engagement, and expanded application realms. Additionally, fostering interdisciplinary collaboration between international entities and driving technological innovation is vital for promoting the sustainable development of cultural heritage.

Microbial Degradation of Pesticides in Agricultural Environments: A Comprehensive review of Mechanisms, Factors and Biodiversity

Pesticides are used frequently in modern times to prevent and manage crop pests and diseases, but their residual effects have seriously harmed both the environment and the health of humans. Within the fields of all over the world applied restoration of the environment science and technology, the study of microbial breakdown of pesticides in soil ecosystems is a significant research area. Agricultural methods depend on the use of chemicals, including pesticides and herbicides, to control pests and weeds. However, these chemicals pose risks to the environment, human, and animal well-being. Microbes have shown promise in degrading these agricultural environmental hazards, mitigating their negative impact. The organisms that exist in the natural world, the research on bacteria that break down pesticides and herbicides, and the approach for the application of these bacteria has been summarized in the paper. This literature review aims to identify the microbes responsible for degrading these chemicals and assess their effectiveness in doing so. The goal of this review is to determine the bacteria responsible for the deterioration of agricultural environmental hazard chemicals, evaluate their efficacy in degrading these compounds, explore the factors influencing microbial degradation efficiency, and identify research gaps in the field. Inclusion criteria encompass studies published in English between 2010 and 2023 that focus on the degradation of agricultural environmental hazard chemicals by microbes, specifically microbial consortia, under controlled conditions. A systematic literature review will be conducted using databases like ScienceDirect, Web of Science, and PubMed. Data extracted from selected studies will include information on pesticide types, microorganisms involved in degradation, mechanisms of microbial degradation, factors affecting microbial degradation, current trends in microbial degradation of pesticides, biodiversity of pesticide-degrading microbes, plasmid-borne pesticide resistance in bacterial communities, and strategies for pesticide degradation by microbial consortia. This research tries to present a comprehensive knowledge of microbial degradation mechanisms, highlight the potential of microbial consortia in pesticide degradation, and contribute to sustainable and eco-friendly approaches for addressing pesticide residues in agricultural environments. This study focused on the variables that affect the microbial breakdown of pesticides and the technique by which microorganisms decompose under natural conditions. In addition, the current trends of research on the microbial degradation of pesticides as well as a few visible challenges that continue to need attention were described.

Research on therapeutic clinical trials including immunotherapy in triple-negative breast cancer: a bibliometric analysis.

Breast cancer, particularly triple-negative (TNBC), is a leading malignancy with aggressive traits and high metastasis rates. Clinical trial is an important tool for optimizing therapeutic strategies in the evaluation of the safety and efficacy for TNBC. Our bibliometric study of TNBC clinical trials aims to assess therapeutic strategies, identify trends, and explore advancements in treatment. We focus on mapping knowledge development, including key research entities and topics, and analyzing research trends and emerging methods. This analysis intends to inform future research, especially in personalized and precision medicine for TNBC. We selected publications on clinical trials for the treatment of TNBC from 1997 to 2024 in the Web of Science Core Collection (WoSCC). After an initial screening, we downloaded key data including titles, publication years, authors, countries, institutional affiliations, journals, keywords, and abstracts, and saved them in BibTex format. We then conducted a bibliometric analysis using Bibliometrix in R and VOSviewer to illustrate the prospects, highlights, and trends of TNBC treatment options. Furthermore, to emphasize the hot topics in TNBC treatment strategies, we performed a bibliometric analysis of immunotherapy using the same approach. 1907 publications were included, most of which were from China, Italy, and the United States. The number of annual publications has increased dramatically since 2010. The focus of TNBC clinical trial research has shifted from understanding the biology, such as breast cancer subtyping and genotyping, to novel therapeutic approaches. The major advancement in clinical trials is the switch from late-stage palliative treatment to early preoperative neoadjuvant therapy, as more TNBC cases are discovered at an early stage. Immunotherapy is also highlighted with additional alternatives for advanced or metastasized TNBC, such as targeted inhibitors with unusual mutation rates and antibody drug conjugates (ADC). This investigation made it apparent how immunotherapy has recently made major advancements in TNBC treatment plans and how ADCs, or targeted therapies, are currently popular for TNBC. By identifying significant papers, comprehending trending topics, and collaborating across multiple disciplines, this study may accelerate research on TNBC therapy options.

A Comprehensive Review on Role of Natural Polymers in Gastro Retentive Drug Delivery System (GRDDS)

Abstract: This review is to present a general outline of potent & promising natural polymers (on which only slight research is done) along with their attributes & their pharmaceutical functions in the development of GRDDS (gastro retentive drug delivery system). Therefore, there is a need of more attention & focus on some of these natural polymers which are playing a crucial & indispensable role in the fabrication of GRDDS. Recent & current research trends shows that progressively natural polymers are replacing synthetic polymers in the fabrication of GRDDS as they are more safe, non-toxic, biodegradable, biocompatible, economical, regulatory acceptance, etc. Also, it has been noticed by the researchers that natural polymer due to their properties have successfully amplified gastric residence time, dissolution & bioavailability of the gastroretentive dosage forms.

Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine

Artificial intelligence (AI) encompasses a broad spectrum of techniques that have been utilized by pharmaceutical companies for decades, including machine learning, deep learning, and other advanced computational methods. These innovations have unlocked unprecedented opportunities for the acceleration of drug discovery and delivery, the optimization of treatment regimens, and the improvement of patient outcomes. AI is swiftly transforming the pharmaceutical industry, revolutionizing everything from drug development and discovery to personalized medicine, including target identification and validation, selection of excipients, prediction of the synthetic route, supply chain optimization, monitoring during continuous manufacturing processes, or predictive maintenance, among others. While the integration of AI promises to enhance efficiency, reduce costs, and improve both medicines and patient health, it also raises important questions from a regulatory point of view. In this review article, we will present a comprehensive overview of AI’s applications in the pharmaceutical industry, covering areas such as drug discovery, target optimization, personalized medicine, drug safety, and more. By analyzing current research trends and case studies, we aim to shed light on AI’s transformative impact on the pharmaceutical industry and its broader implications for healthcare.

DEEP LEARNING APPROACH FOR ASPECT CATEGORY DETECTION: A BIBLIOMETRIC ANALYSIS

This article presents a quantitative and qualitative assessment of current research trends by conducting a bibliometric analysis of the sentiment analysis literature from 2020 to March 2024 using the Scopus database. Our focus is on the review of scientific documents, the arrangement of subject categories, the research trend in aspect category detection, the top 10 scholars that write the most number articles in aspect category detection and keyword trends. Our research shows that specialists in computer science, engineering, mathematics, medicine, decision science, material science, social sciences, business and management accounting, energy, and health are the most common topic groups in this industry. A study of keywords shows that terms like “BERT” and “deep learning” are frequently used together. This highlights the use of sophisticated models like BERT in this field and suggests a tendency to use innovative architecture to achieve better results. Conversely, although terms such as “sentiment analysis” and “aspect-based sentiment analysis” have modest frequency, their link strengths indicate a significant correlation with the main theme, emphasising the relationship between aspect category detection and sentiment analysis in research projects. we also provide the deep-learning technique used by the author for aspect category detection.

Vibration Energy Harvesting: A Bibliometric Analysis of Research Trends and Challenges

Vibration Energy Harvesting: A Bibliometric Analysis of Research Trends and Challenges

Geospatial Mapping and Meteorological Flood Risk Assessment: A Global Research Trend Analysis.

Flooding is a global threat causing significant economic and environmental damage, necessitating a policy response and collaborative strategy. This study assessed global research trends and advances in geospatial and meteorological flood risk assessment (G_MFRA), considering the ongoing debate on flood risk management and adaptation strategies. A total of 1872 original articles were downloaded in BibTex format using the Web of Science (WOS) and Scopus databases to retrieve G_MFRA studies published from 1985 to 2023. The annual growth rate of 15.48% implies that the field of G_MFRA has been increasing over time during the study period. The analysis of global trends in flood risk research and practice highlights the key themes, methodologies, and emerging directions. There exists a notable gap in data and methodologies for flood risk assessment studies between developed and developing countries, particularly in Africa and South America, highlighting the urgency of coordinated research efforts and cohesive policy actions. The challenges identified in the body of extant literature include technical expertise, complex communication networks, and resource constraints associated with the application gaps of the study methodologies. This study advocates for a holistic research approach to flood disaster management through ecosystem-based adaptation that underpins the Sustainable Development Goals to develop innovative flood techniques and models with the potential to influence global decision-making in the G_MFRA domain. Addressing these global challenges requires a networked partnership between the research community, institutions, and countries.

Content-Based Instruction in Language Education: A Bibliometric Review

The popularization of content-based foreign language programs has given rise to Content-Based Instruction (CBI) as a practical pedagogical approach to facilitating language learning through the medium of content. The growing amount of relevant research in the past decades has necessitated a systematic review of the trends in CBI research to summarize achievements and illuminate future research practices. In this article, CBI-related research articles indexed in Web of Science are reviewed bibliometrically using VOSviewer, following a rigorous selection and screening process. Certain aspects are emphasized, including publication patterns, geographic distribution, institutional contributions, contributing scholars, influential journals and articles, and frequently repeated author keywords. Among the findings, the review highlights substantial geographical variation in previous CBI research as well as the most frequently repeated keywords with corresponding clusters. This review concludes by addressing the research trends in this field and recommending future research directions, which are crucial for understanding the current situation and establishing a foundation for future studies.

Incidence of periprosthetic joint infection after primary total knee arthroplasty shows significant variation : a synthesis of meta-analysis and bibliometric analysis

Total Knee Arthroplasty (TKA) is a surgery that is commonly performed on older adults to improve their quality of life. However, the increasing use of knee joint prostheses has led to a rise in the incidence of Prosthetic Joint Infections (PJI) in patients after TKA. Different clinical studies have looked at the occurrence of PJI after TKA in different regions, but they have drawn varying conclusions. To better understand this topic, we conducted a meta-analysis and bibliometric study using data from multiple databases. Our research found that the estimated prevalence of PJI after TKA is approximately 1.08% across different regions, but there is still considerable variation. Additionally, our regression analysis of sub-groups shows significant differences in follow-up periods. Furthermore, our comprehensive bibliometric analysis identifies current research trends, “hotspots” related to TKA-related PJI, influential nations, organizations, and noteworthy publications. Our analysis provides valuable insights to guide future research in this area.

Artificial Intelligence in Aspect of Deforestation and Plantation Sustainability: Bibliometric Approach

This study examines the application of Artificial Intelligence (AI) in addressing deforestation and promoting sustainability in plantations using a bibliometric approach. Deforestation, a critical global issue, results from agricultural expansion, plantation development, and land-use changes, leading to significant environmental degradation. AI has been proposed as a powerful tool to monitor and manage deforestation more effectively, offering solutions such as satellite imagery analysis and predictive models. Through a bibliometric analysis spanning the last decade (2013–2023), this study uses VOSviewer to visualize co-citation networks, identifying key research trends and clusters related to AI in deforestation and plantation sustainability. The findings reveal that research is concentrated in regions like Indonesia and Brazil, where AI technologies like machine learning are employed to predict deforestation and enhance resource management. Emerging research areas include the integration of AI with the Internet of Things (IoT) and blockchain for improved data management and sustainability practices. This analysis provides insights into the growing role of AI in mitigating deforestation and offers recommendations for future research, including addressing ethical challenges and regulatory frameworks to further enhance sustainable plantation management.

Physical Therapy in Neurorehabilitation with an Emphasis on Sports: A Bibliometric Analysis and Narrative Review.

The increasing interest in physical therapy in sports neurorehabilitation stems from the high incidence of neurological injuries among athletes and the crucial role of rehabilitation in facilitating their safe return to sports. This study aims to provide a comprehensive analysis of research trends in physical therapy and neurorehabilitation in athletes. This study presents a bibliometric analysis of 103 documents from the Scopus database, followed by a narrative review of the identified thematic areas. Together, these approaches offer a comprehensive overview of the international literature on the application of physical therapy in sports neurorehabilitation, highlighting key trends and contributors. The software VOSviewer and Power BI (2.136.1202.0) were used for the bibliometric analysis and the visualization of the results. Techniques such as performance analysis (documents per year, top sources and countries in documents, and top authors in citations) and science mapping (co-authorship, bibliographic coupling, co-citation, and co-occurrence) were conducted. The results revealed the journals and the authors with the greatest impact in the field and collaborations between various countries. From the co-occurrence analysis of the keywords, three key thematic clusters were identified, Clinical Approaches and Outcomes in Neurorehabilitation, Athlete-Centered Neurorehabilitation Techniques, and Specialized Interventions in Sports Medicine and Neurorehabilitation, which were used to conduct the narrative review. These findings provide a solid foundation for future research and clinical practice aimed at enhancing recovery times and overall performance in athletes with neurological injuries.

Trends of machine learning for dental caries research in Southeast Asia: insights from a bibliometric analysis.

Dental caries is a common chronic oral disease, posing a serious public health issue. By analyzing large datasets, machine learning shows potential in addressing this problem. This study employs bibliometric analysis to explore emerging topics, collaborations, key authors, and research trends in Southeast Asia related to the application of machine learning in dental caries management. A comprehensive selection using the Scopus database to obtain relevant research, covering publications from inception to July 2024 was done. We employed the Bibliometric approaches, including co-authorship networks, yearly publishing trends, institutional and national partnerships, keyword co-occurrence analysis, and citation analysis, for the collected data. To explore the visualization and network analysis, we employed the tools such as VOSviewer and Bibliometrix in R package. The final bibliometric analysis included 246 papers. We found that Malaysia became the top contributor with 59 publications, followed by Indonesia (37) and Thailand (29). Malaysia had the highest Multiple Country Publications (MCP) ratio at 0.407. Top institutions including the Universiti Sains Malaysia led with 39 articles, followed by Chiang Mai University (36) and the National University of Singapore (30) became the leader. Co-authorship analysis using VOSviewer revealed six distinct clusters. A total of 1220 scholars contributed to these publications. The top 10 keywords, including 'human' and 'dental caries,' indicated research hotspots. We found growing evidence of machine learning applications to address dental caries in Southeast Asia. The bibliometric analysis highlights key authors, collaborative networks, and emerging topics, revealing research trends since 2014. This study underscores the importance of bibliometric analysis in tackling this public health issue.

Science mapping and research trends of strabismus: a Scientometric analysis

ABSTRACT Aim: To draw and analyze a science map and research trends in the field of strabismus with the method of co-word analysis. Method: In this Scientometric study, all scientific outputs in the field of strabismus indexing in the Scopus database between 2005 and 2023 have been analyzed based on various Scientometric indicators. Data analysis was conducted using Excel and VOSviewer softwares. Results: The most significant growth in scientific output occurred in 2021, while the lowest was observed in 2023. The field of strabismus classified in four subject clusters, including Strabismus and Neurology, Alignment Disorders, Visual Acuity/Refraction and Strabismus, and Binocular Vision and Strabismus. Research pertaining to Genetics and Best-Corrected Visual Acuity (BCVA) have notably emerged between 2014 and 2018, reflecting a trend toward increased research focus in these areas. Conclusion: The growth of graph scientific output in strabismus shows periodic fluctuations across various years, with its pick in 2021 and the lowest point in 2023 due to spread of COVID-19. Strabismus and neurology cluster had the highest frequently especially in the USA. Genetic and BCVA as emerging topics were frequently studied in recent years due to extensive progress of genetic science.