Recent Research Trends Research Articles

An Ecological Perspective on the Challenges in Language Education: Focus on Agency and Affordances

The article presents an overview of recent research trends from an ecological perspective, arguing that the ecological perspective can be most aptly used to describe current language education, characterized by dynamic and unpredictable changes. It delineates such topics as the spread of technology and out-of-school language learning, linguistically diverse classes, and teacher wellbeing. The notion of teacher agency is addressed, which can be critical in the perception of the challenges in education, i.e. whether they will be used as affordances to modify teaching or as a threat undermining the teacher’s professional identity. In conclusion, guidelines for current teacher education are provided.

Bibliometric analysis of microphthalmos and anophthalmos over 20 years: from 2004 to 2023.

To conduct a bibliometric analysis of studies on microphthalmos and anophthalmos (M/A), explore research hotspots, and provide information on future research interests in this field to benefit clinicians and researchers. Totally 751 publications related to M/A from the year 2004 to 2023 were collected from the Web of Science Core Collection database. These publications consist of both original and review articles, that are composed in English. The contributions of different countries, institutions, journals, and authors were analyzed, and network analysis was conducted by using Microsoft Excel 2021, VOSviewer, and R Studio to visualize research hotspots. Among all publications included, the highest number of publications came from USA (218, 29.03%). China followed with 99 publications (13.18%), and England with 86 publications (11.45%). The publications from the USA had the highest frequency of citations, with 16 699 citations, and the highest H-index of 49. The American Journal of Medical Genetics Part A (43, 5.73%) published the largest number of papers, and the University of London had the most publications (41, 5.46%). The genetic and molecular mechanisms of M/A were still unclear and the clinical intervention for M/A had gained a lot of attention as an emerging area of interest. Data have been gathered on the yearly count of published materials and citations, as well as the rise in publication trends, the efficiency of regions or countries, authors, journals, and organizations, along with the high-cited publications in M/A. The recent trend of research has shifted from genetic mechanisms to different clinical phenotypes and corresponding clinical interventions, which can give direction to future research.

Recent advances in nanogels for drug delivery and biomedical applications.

Nanotechnology has shown great promise for researchers to develop efficient nanocarriers for better therapy, imaging, and sustained release of drugs. The existing treatments are accompanied by serious toxicity limitations, leading to severe side effects, multiple drug resistance, and off-target activity. In this regard, nanogels have garnered significant attention for their multi-functional role combining advanced therapeutics with imaging in a single platform. Nanogels can be functionalized to target specific tissues which can improve the efficiency of drug delivery and other challenges associated with the existing nanocarriers. Translation of nanogel technology requires more exploration towards stability and enhanced efficiency. In this review, we present the advances and challenges related to nanogels for cancer therapy, ophthalmology, neurological disorders, tuberculosis, wound healing, and anti-viral applications. A perspective on recent research trends of nanogels for translation to clinics is also discussed.

Research Trends in the Evaluation and Treatment of Speech Disorders Using Automatic Speech Recognition (ASR)

Purpose: The purpose of this study is to examine recent research trends regarding automatic speech recognition (ASR), which is used in the evaluation and intervention of speech disorders.Methods: Through a search engine, articles published in domestic journals were searched. A total of 27 papers were selected from the searched documents and analyzed according to the year, research subject, speech task, and ASR system.Results: The years with the most research was done in 2019~2021. The subjects who most frequently underwent speech evaluation and treatment using ASR system were those with dysarthria. The speech production tasks used to utilize ASR were at the word and sentence level, and commercialized and non-commercialized ASR systems were used similarly.Conclusion: These results might be used for the fundamental data to establish the most suitable evaluation methods and intervention plans for patients with speech disorders in clinical and research fields.

Trends in Korean intervention studies on complementary and alternative therapies in rehabilitation nursing.

In nursing, complementary and alternative therapies (CATs) can be provided alongside, or as alternatives, to conventional medical treatments to maximize therapeutic effects, accelerate rehabilitation, and enhance patient satisfaction. Fostering the correct knowledge and attitudes toward CATs is crucial not only for theoretical development but also for practical application. To gain a comprehensive understanding of recent domestic research trends, this study conducted an integrative review to analyze different types of CAT-related intervention studies in rehabilitation nursing in South Korea. A literature search of relevant databases suggested 14 papers. The review revealed that most studies focused on older adult patients, with manipulative and body-based therapies being the most common CAT interventions, followed by energy therapies, mind-body therapies, and others. The efficacy analysis of the CATs used in the selected studies indicated that their effects varied depending on participant characteristics and outcome measures, even when the same CAT was employed. To advance the field of rehabilitation nursing, effective CATs that are proven to be safe for older adult patients need to be developed and actively utilized. Additionally, specialized nurse training programs and clinical and community-based applications for rehabilitation patients requiring interventions need to be developed.

니트(NEET)청년 관련 연구동향 및 도전과제

Objectives This study aims to analyze recent research trends related to NEET (Not in Education, Employment, or Training) youth and to provide implications for future research and support for NEET youth. Methods To analyze research trends related to NEET youth, a total of 58 papers, consisting of 43 domestic journal articles and 15 dissertations related to NEET youth published over 17 years from 2008 to 2024, were selected for analysis. The criteria for analyzing research trends were set in four areas: basic information, research subjects, research methods, and research topics. Results The study showed a significant increase in the number of journal articles and dissertations after 2015. Second, in terms of research subjects, studies focusing on non-job-seeking NEETs accounted for about 63%, followed by studies on mixed-type NEETs and job-seeking NEETs. Third, in terms of research methods, quantitative research was most commonly used in both journal articles and dissertations. The most frequently used analysis methods were overall scale estimation using statistical data and quantitative analysis of determinants leading to NEET status. Finally, regarding research topics, studies on the causes and influencing factors of NEET occurrence and the types and characteristics of NEET youth were the most common in both journal articles and dissertations. However, there is a greater need for research on support programs for NEET youth and measures for preventing and overcoming NEET status. Conclusions Based on the results of this study, discussions and implications for follow-up research and support for NEET youth were described, and recommendations for future research were made.

Trend Analysis of Fluency-Related Research Articles: Using Data Mining

This research seeks to identify recent research trends in analysing fluency in English language studies since 2010. The importance of studying corpora that compile registered research in linguistics is growing; thus, it is time to consider the significance of data mining analysis on the corpora. Considering this emerging research topic, this analysis intends to generate and compare word clouds and word metric charts from speaking and writing abstract corpora in linguistics research centred on the keyword ‘Fluency’. This comparison is minimally addressed in extant research; hence, this investigation aims to fill this gap. The corpus contains 50 speaking and 15 writing abstracts from linguistics journals. To create the word cloud, AntConc4.1.4 software was used to analyse the corpora, while TF-IDF and matrix analysis were conducted using R. As a result, in spoken English, ‘fluency’ studies were largely related to 'teaching' and tended to be dominated by studies focusing on ‘fluency’ alone. In contrast, writing studies were mostly related to learner proficiency and assessment, and many studies analysed the relationship between linguistic abilities by expanding the scope of ‘fluency’ to include ‘accuracy’ and ‘complexity’. This study will benefit researchers in deciding on topics as it provides research directions and trends in analysing fluency in the two interconnected but differently expressed fields (i.e., speaking and writing).

A Bibliometric Analysis of 100 Top-cited Articles on Cleft Orthodontics.

This bibliometric study seeks to provide a comprehensive overview of the 100 most frequently cited articles in the domain of cleft orthodontics. The analysis will reveal key influential publications, collaborative author networks, and identify prevailing research themes within the field. The studies related to Orthodontics in the realm of cleft lip and palate (CLP) were retrieved from the Scopus database on 30th August 2024 using key terms. The results obtained were sorted in descending order of citations and the 100 top-cited articles were hand-filtered. RStudio software version 4.2.0 and Bibliometrix R-package was used for performing scientometrics involving co-citation, co-occurrence, collaboration and co-word analyses, bibliographic coupling and network mapping. A total of n = 3984 articles were retrieved from which top-100 cited articles were filtered. These documents were published during 1950-2019 with peak production in 1997. The United States and the Netherlands were the most prolific countries involved in the given research. The majority of the highly referenced articles pertained to alveolar bone grafting, and treatment outcomes being the second common focus followed by Infant and early orthopedics (Naso-alveolar moulding, Maxillary Protraction) and facial growth during the given period. Thematic mapping depicted bone grafting, alveoloplasty (infant orthopedics) and maxillofacial development as the more developed core topics than the psychology and self-perception of patients with CLP. Recent research trends have shifted towards three-dimensional assessment methods.

Recent research trends in the rational design strategies of carbon-based electrocatalysts for electrochemical ammonia synthesis

Ammonia electrosynthesis is the most sustainable way to produce carbon-free hydrogen carriers, which would pave the way for the foreseen hydrogen economy and carbon neutralization as it has the potential to replace the conventional Haber-Bosch process. The electrocatalytic production of ammonia, which renewable energy resources could drive, reduces the carbon footprint contribution to fossil fuel consumption. Moreover, ammonia electrosynthesis also paves the way for recycling industrial/chemical wastewater and NO emissions. Hence, the advancement of electrocatalytic ammonia synthesis techniques is highly mandated for a greener future. This review consolidates the recent research trends associated with carbon-based electrocatalysts, which could elevate this viable technology with cost-effectiveness.

Exploring Self-Determination Theory in ELT: A Content Analysis of Research Trends between 2020 and 2024

This study aims to seek recent research trends in the applicability of Self-Determination Theory (SDT) to English language teaching (ELT) by reviewing the literature on this new approach to studying learner motivation, which plays a crucial role in language acquisition. The subject of the study is a series of related articles collected between 2020 and 2024, and the data is gathered from fifty selected articles during this period. The method employed for data analysis is content analysis approach, which helps identify themes and common trends throughout the articles’ contents. The findings reveal various trends in applying SDT to foster learner motivation in ELT, including trends in research topics, methods, and noteworthy new themes in the applicability of SDT and its six sub-theories to ELT. These provide insights into the great potential of SDT in ELT research. The paper also has implications for new research ideas of learner motivation with STD.

Trends and hotspots on the relationship between gut microbiota and Parkinson's Disease: a bibliometric analysis.

Parkinson's disease (PD) is a neurodegenerative disorder that significantly impacts patients' quality of life. Recent evidence has highlighted a complex relationship between the gut microbiota (GM) and PD. Understanding this relationship is crucial for potentially targeting GM in PD treatment and expanding therapeutic options. This study aimed to comprehensively analyze the global landscape, trends, and research focus on GM and PD using bibliometric analysis. Utilizing publications from the Web of Science Core Collection (WsSCC), bibliometric tools such as the R package 'Bibliometrix,' VOS viewer, and CiteSpace software were employed to assess parameters like yearly publications, countries/regions, institutions, and authors. Research trends and hotspots were identified through keyword analysis. The results revealed 1,161 articles published between 2013-2023, with China leading in publications (n=352, 30.31% of total), while the United States had a higher influence (H-index=58). The University of California System was the top institution in terms of publications (n=35), with the National Natural Science Foundation of China funding the most projects (n=172). Keshavarzian A and Sampson TR were the authors with the highest publication and co-citation counts, respectively. The International Journal of Molecular Sciences had the most articles published (n=48). Keyword analysis identified parkinson's disease, gut microbiota, short-chain fatty acids, inflammation, and probiotics as main research topics. Biomarkers, ketogenic diet, and NF-κB were recent research hotspots and trends (2021-2023). The current study conducts an objective and comprehensive analysis of these publications, identifying trends and hotspots in the field of research. The findings offer valuable insights to scholars globally and in-vestigate potential therapeutic strategies for Parkinson's Disease.

Kautsky’s Unexpected Comeback: Understanding the Re-emergence of the Second International in Contemporary Debates

Abstract In the history of the left, the conjuncture 1914–1917 is the “bifurcation point” per definition. Leaving an enduring mark on the labor movement, it also shaped subsequent historiographies. For the pro-Bolshevik left, 1914 epitomized the betrayal of a group of reformist leaders. Conversely, anti-communist social democrats regarded the Second International as an uncomfortable political heritage. Despite irreconcilable disputes, both traditions shared a lack of interest in defending the period 1889–1914, let alone delving into its history. The real take-off of Second International historiography came later and coincided with the outset of the Cold War, experiencing a “golden age” in the 1960s and 1970s. Studies of socialism lost momentum from the 1980s onwards, but the last 15 years have seen a resurgence of interest in the Second International and even a popular reappraisal of Karl Kautsky. Linking historiography to wider social and political phenomena, this article reflects on this new interest in the Second International in both activist and academic circles. The first section summarizes the historical significance of the International and examines how the crisis of 1914 became a crucial “bifurcation point” with significant political and historiographical impact. The second section explores recent trends in scholarly research on the subject. The third section provides an analysis of the vindication of Karl Kautsky among radicals and socialists in the United States over the past 10 years. The conclusion summarizes the main arguments and reflects on the contribution this analysis can make to a discussion about the “long cycle” of socialism.

From Data to Discovery: Recent Trends of Machine Learning in Metal-Organic Frameworks.

Renowned for their high porosity and structural diversity, metal-organic frameworks (MOFs) are a promising class of materials for a wide range of applications. In recent decades, with the development of large-scale databases, the MOF community has witnessed innovations brought by data-driven machine learning methods, which have enabled a deeper understanding of the chemical nature of MOFs and led to the development of novel structures. Notably, machine learning is continuously and rapidly advancing as new methodologies, architectures, and data representations are actively being investigated, and their implementation in materials discovery is vigorously pursued. Under these circumstances, it is important to closely monitor recent research trends and identify the technologies that are being introduced. In this Perspective, we focus on emerging trends of machine learning within the field of MOFs, the challenges they face, and the future directions of their development.

Response of Daucus carota Plants Under Meloidogyne incognita Infection to Blumea aurita Compost, Powder, and Essential Oil

Abstract Meloidogyne incognita is a common pest of carrots grown in hot climates. Existing control methods using synthetic nematicides are associated with contamination and intoxication of plants and the production environment. Recent research trends in pest control include investigations on the use of plant materials. In the present study, Blumea aurita compost, powder, and essential oil were assessed in comparison with Furadan for mitigating the effects of M. incognita on carrot plants. The essential oil was applied at 10, 20, and 30 mg·ml−1, while the compost and powder were applied at 1.0, 2.0, and 3.0 kg·m−2. The characteristic components of B. aurita essential oil were trans-α-bergamotene (18.04%), caryophyllene epoxide (15.01%), eugenol (11.59%), carvacrol (11.02%), geraniol (10.13%), 1-octen-3-ol (7.03%), 1,8-cineole (7.02%), δ-elemene (7.01%), and α-copaene (6.20%). The reproduction of M. incognita on carrot roots and the level of M. incognita soil infestation were significantly reduced by B. aurita compost and essential oil. The effect of B. aurita compost was comparable to that of the standard nematicide – Furadan. Therefore, materials derived from B. aurita may prove to be an interesting alternative in inhibiting M. incognita populations.

Hypertension research 2024 update and perspectives: basic research.

This review article introduces some basic studies that were recently published in this journal, as a part of Hypertension Research 2024 Update and Perspectives. Including recent basic research trends in other scientific journals, we would like to summarize basic research on keywords such as hypertension and its associated organ damage, new treatments, and others. It is expected that the accumulation of basic studies will lead to breakthroughs in hypertension treatment in the future and lead to the definitive treatment of hypertension beyond blood pressure control with anti-hypertensive drugs.

Circular economy efficiency in the context of waste management in the selected Central and Eastern European countries – evidence from DEA and fractional regression analysis

Sustainability and optimizing waste management efficiency through circular economy principles have become significant trends in recent research. This study aims to compare the circular economy efficiency within the waste management framework in selected Central and East European countries. To achieve this, the research employs Data Envelopment Analysis (DEA) and Fractional Regression Analysis, specifically using the Slack-Based Measurement model. This model measures efficiency by referencing the inefficient Decision-Making Units (DMUs) rather than the origin of the coordinate system. Key variables such as GDP per capita, GDP growth rate, and circular economy indicators were selected and analyzed using Eurostat data from 2010 to 2022. The findings reveal varying potentials for improving the efficiency of hazardous and non-hazardous waste management in the countries investigated. Additionally, differences in the mutual influence of selected variable indicators on waste efficiency are identified using Fractional Regression Analysis. These insights emphasize the pivotal role of waste management in advancing circular economy policies.

Recent Research Trends against Skin Carcinoma - An Overview.

Skin cancer is a prevalent and sometimes lethal cancer that affects a wide range of people. UV radiation exposure is the main cause of skin cancer. Immunosuppression, environmental factors, and genetic predisposition are other contributing variables. Fair-skinned people and those with a history of sunburns or severe sun exposure are more likely to experience this condition. Melanoma, squamous cell carcinoma (SCC), and basal cell carcinoma (BCC) are the three main forms. Melanoma poses a bigger hazard because of its tendency for metastasis, while SCC and BCC have limited metastatic potential. Genetic mutations and changes to signalling pathways such as p53 and MAPK are involved in pathogenesis. Early diagnosis is essential, and molecular testing, biopsy, dermoscopy, and visual inspection can all help. In addition to natural medicines like curcumin and green tea polyphenols, treatment options include immunotherapy, targeted therapy, radiation, surgery, and chemotherapy. Reducing the incidence of skin cancer requires preventive actions, including sun protection and early detection programs. An overview of skin cancers, including their forms, pathophysiology, diagnosis, and treatment, highlighting herbal therapy, is given in this review.

Agile in Automotive: A Literature Review

Abstract The automotive industry faces increasing pressure to adapt to rapidly changing market demands while maintaining efficiency and quality standards. Agile methodologies have gained attention to enhance flexibility, responsiveness, and innovation in automotive manufacturing and software development. This paper provides a comprehensive review of recent research trends and gaps in the application of agile methodologies within the automotive sector. We analyzed a dataset comprising articles from Scopus, Google Scholar, and Crossref, identifying key themes, such as hybrid lean-agile manufacturing, supply chain management, and automotive software development. Furthermore, we highlight emerging trends and potential areas for future research, including resilience in the automotive industry, integration of green practices, and cross-cultural perspectives.

Advancements and Current Developments in Integrated System Architectures of Lithium-Ion Batteries for Electric Mobility

Recognizing the challenges faced by power lithium-ion batteries (LIBs), the concept of integrated battery systems emerges as a promising avenue. This offers the potential for higher energy densities and assuaging concerns surrounding electric vehicle range anxiety. Moreover, mechanical design optimization, though previously overlooked, is gaining traction among researchers as a viable alternative to achieve enhanced energy and power densities. This review paper provides a comprehensive overview of recent research and progress in this domain, emphasizing the significance of battery architectures in enabling the widespread adoption of electric mobility. Beginning with an exploration of fundamental principles underlying LIB systems, the paper discusses various architectures involving different cell form factors, like pouch cells, cylindrical cells, and prismatic cells, along with their advantages and limitations. Furthermore, it reviews recent research trends, highlighting innovations aimed at enhancing battery performance, energy density, and safety through advanced battery system architecture. Through case studies and discussions on challenges and future directions, the paper underscores the critical role of advanced battery system architecture in driving the evolution of e-mobility and shaping the sustainable transportation landscape.

Unlocking the potential: A review of artificial intelligence applications in wind energy

AbstractThis paper presents a comprehensive review of the most recent papers and research trends in the fields of wind energy and artificial intelligence. Our study aims to guide future research by identifying the potential application and research areas of artificial intelligence and machine learning techniques in the wind energy sector and the knowledge gaps in this field. Artificial intelligence techniques offer significant benefits and advantages in many sub‐areas, such as increasing the efficiency of wind energy facilities, estimating energy production, optimizing operation and maintenance, providing security and control, data analysis, and management. Our research focuses on studies indexed in the Web of Science library on wind energy between 2000 and 2023 using sub‐branches of artificial intelligence techniques such as artificial neural networks, other machine learning methods, data mining, fuzzy logic, meta‐heuristics, and statistical methods. In this way, current methods and techniques in the literature are examined to produce more efficient, sustainable, and reliable wind energy, and the findings are discussed for future studies. This comprehensive evaluation is designed to be helpful to academics and specialists interested in acquiring a current and broad perspective on the types of uses of artificial intelligence in wind energy and seeking what research subjects are needed in this field.