Popular Topics Research Articles

Research trends and frontiers on risk factors of urinary stones: a bibliometric analysis from 2010 to 2023

Background and objective The occurrence of urinary stone disease (USD) is associated with several factors. However, no conclusive results have been reached regarding the treatment of USD risk factors. This study conducted a detailed bibliometric analysis of USD risk factors to determine research hotspots and provide future development directions. Methods Articles and reviews on the USD risk factors published between 2010 and 2023 were retrieved from the Web of Science Core Collection. Co-occurrence and collaboration analyses of countries, institutions, authors, journals, references, and keywords were conducted using CiteSpace, VOSviewer, and R-Bibliometrix. Results A total of 436 articles on USD risk factors were included in the study. China and the United States have emerged as the leading countries in this field, with the Mayo Clinic having the highest amount of publication output. Among all the authors, Ferraro PM had the highest number of publications, while Taylor EN was the highly cited author. The journal with the highest number of publications was UROLITHIASIS. Scales reported the reference with the highest burst strength. The current citation themes in research on USD risk factors were ‘multifaceted relationship’ and ‘kidney stone disease recurrence’. ‘Medical-management’ was identified as a major keyword, indicating future research hotspots. Conclusion This study employed bibliometric methods to conduct a comprehensive visual analysis of USD risk factors to show publication trends and popular topics in this area over the past decade. The results provide a valuable reference for future research on the risk factors of USD.

Exploring trends and emerging topics in oceanography (1992–2021) using deep learning-based topic modeling and cluster analysis

Recent advancements in data sampling, modeling, and increased collaboration among scientists have driven a substantial rise in oceanography publications. By utilizing big data and deep learning, we built a BERTopic model to perform topic modeling on 334,765 publications from the Web of Science, spanning 1992 to 2021, to examine research trends and emerging topics in oceanography. We then created a topic cluster map containing the 100 most popular topics, revealing the complex interplay of topics across different sub-fields and the interdisciplinary nature of oceanography. Key emerging topics, such as precipitation and climate, reflect the increasing focus on climate change and underscore the ocean’s vital role in addressing global environmental challenges. We also revealed geographical trends in research focus and collaboration patterns. Our study not only highlights trends and areas of growing interest but also identifies topics requiring further studies, emphasizing the importance of international collaboration for future research.

RESEARCH STATUS, HOTSPOTS AND EVOLUTİON İN THE FİELD OF ONLİNE MUSİC EDUCATİON: A BİBLİOMETRİC REVİEW

ABSTRACT In the contemporary era of swift informational advancement, the rapid progression of digital technology has become especially significant, profoundly reshaping numerous fields. Globally, the demand for personalized learning, an emerging educational model, is increasing day by day, while the discussion and pursuit of unified educational standards are also gradually strengthening. This parallel pursuit of educational diversity and standardization reflects society's expectations and demands for high-quality education. Against this backdrop, we have witnessed the transformation of educational models, particularly the widely recognized and valued importance of collaborative learning and the sharing of educational resources. This trend is not only evident in traditional educational practices but also significantly manifested and developed in the field of online education. In this wave of educational change, the online music education sector has attracted widespread attention with its unique charm and potential. Music education, as an artistic form rich in creativity and emotional expression, has provided learners with brand-new learning experiences and possibilities through its online trend. However, despite the rapid development of online music education, existing research lags, particularly in the quantitative and empirical analysis of bibliometric indicators such as influential authors, popular topics, and evolutionary trends. To fill this gap, our research utilizes abundant data from the globally authoritative Web of Science (WOS) database. Through systematic literature review and analysis, we aim to reveal the core content and characteristics of the online music education field. In this process, we employ VOSviewer, a powerful analytical tool, which helps us gain a deep understanding of multiple dimensions within this field, including the distribution of authors, geographical contributions, key journals, co-occurring keywords, and co-cited references. Through this series of in-depth analyses, we not only clearly depict the current status of the online music education field but also reveal its frontier hotspots and future evolution trends. The insights from this study aim to provide scholars and educators in this field with a comprehensive and multidimensional perspective, serving as a strong reference and guidance for their future research and work.

Bibliometric analysis of augmented reality research in educational sciences

The aim of this study is to determine the distribution of articles on augmented reality in the WOS database in the field of educational sciences by years, keywords and active concepts, active countries, active countries by total number of citations, active countries by citation averages, active authors, active authors by local citation rankings, active researches by global citation rankings, active journals by number of articles, active institutions, country-author-keyword network and popular topics by years. The study used bibliometric analysis, which is one of the quantitative approaches. The data set consisted of 1759 augmented reality articles in the field of educational sciences in the WOS database between 1999 and 1 September 2024. The "Biblioshiny" package program in the "R" programming language was used to analyse the data. The results of the research indicate that the annual growth rate for articles in the field of educational sciences utilizing augmented reality is 24%. The most common keywords are education, augmented reality, students, technology, system, design, science, challenges, performance and virtual reality. The countries with the highest levels of activity in this field are China, the USA, Spain, Turkey, Australia, the United Kingdom, Germany, Serbia, Korea and Japan. China, the USA and Spain are in the first three places in the citation ranking of the countries. According to the citation averages, the ranking is as follows: It was determined that Hwang GJ is the most influential author, Chang HY is the most cited author in the local context, and Wu HK is the most cited author globally. The most influential journal is "Education and Information Technologies," and the most influential institution is National Taiwan Normal University. Popular research topics in augmented reality for 2024 include laboratory skills, virtual reality, and K-12 concepts.

A Comparative Study of Discussions, Debates, and Oral Presentations in Enhancing EFL Learners’ Oral Proficiency

This case study investigated the effects of different speaking activities (oral presentations, discussions, debates) on the speaking performance of 11 young adult EFL learners at a university in central Mexico. Data was collected through semi-structured interviews and an online survey and analyzed using thematic analysis. The findings revealed that combining socialization with varied speaking activities and incorporating popular culture topics relevant to students increased motivation, reduced the affective filter, boosted confidence, and improved fluency and accuracy. The integration of student interests and fostering of personal relationships promoted a holistic understanding of cognitive and metacognitive strategies, enhancing overall speaking skills. However, limitations include a small sample size from the same sociocultural context. Further research with a larger, more diverse sample is recommended for unbiased results. The study highlights the benefits of tailoring speaking activities to students' interests and encourages developing interpersonal relationships to facilitate language learning.

A Bibliometric Study of Mobile-Assisted Language Learning from 2013 to 2023: Research Themes and Trends

The widespread use of mobile-assisted language learning (MALL) in learning and teaching foreign languages has attracted significant interest. Following the substantial impact of COVID-19 on language education, the focus on MALL among researchers has increased to a new level. This paper reviewed the MALL-related Social Science Citation Index (SSCI) articles from 2013 to 2023, sourced from the Web of Science (WOS). Out of 535 identified articles, 241 were analyzed systematically to generate knowledge maps using CiteSpace. Based on the bibliometric study, this research identified and discussed the popular themes and research trends in MALL. Three major themes emerged through keyword co-occurrence analysis: 1) a primary focus on the English language; 2) technology integration in language learning; and 3) a learner-centered focus. The results also revealed four research trends: 1) development and application of mobile learning technologies; 2) in-depth study of language acquisition and skills development; 3) innovative research on learner characteristics and teaching methods; and 4) a shift in research methods. This research contributes to the existing literature by consolidating current knowledge and offering guidance for future investigations or developments in MALL.

East Asian International Students Attitudes Toward Gender Studies in U.S. Higher Education Institutions

Abstract: East Asian international students and gender studies courses are both popular topics in American higher education today. However, little attention has been paid to the performance of East Asian international students in gender studies courses. Therefore, this study explores the attitudes and participation of East Asian international students toward Gender Studies in U.S. higher education institutions. Through a mixed-methods approach, including literature review and interviews, this research identifies the key factors that influence these students' engagement with Gender Studies. The findings suggest that cultural differences, traditional gender norms, and misunderstandings about the relevance of Gender Studies courses contribute to low participation rates. Additionally, the study reveals that many East Asian students, particularly those in STEM fields, avoid Gender Studies due to its perceived theoretical focus and the requirement for extensive writing. By addressing these barriers, educators can develop more inclusive strategies to encourage participation and foster critical thinking skills, contributing to the development of global citizens.

Chinese Audiences' Perceptions of Social Reality in the Comedy Film Successor

Abstract: Comedy films continue to thrive in Chinas film market, and the genre is breaking out of its original form with innovative reforms. In addition, the market for realistic films is further expanding in China. The film Successor, which was released in mainland China this summer, became a hot topic during its release. This paper examines Chinese audiences reactions to social realities reflected in Successor through the survey. The audience is the most important factor in determining the success of a film, so it is extremely important to pay attention to the audiences comments and reactions to a film. Comedy films are the audiences favorite genre and realism is a popular theme at the moment, combining the two produces a surprising effect. Social media is an important channel for film distributors to promote their films, but some issues are discussed more negatively on the internet. The film, as a relatively pure vehicle, can better reflect the real situation.

Research hotspots and evolution trends of food safety risk assessment techniques and methods

AbstractFood safety incidents frequently occur in China and other countries. Food safety risk management has evolved from harm‐based to risk‐based approaches to control risks more scientifically and effectively. Risk assessment is at the core of risk control and provides a scientific basis for the development of risk management measures. Therefore, analyzing the research status and development trends of food safety risk assessment technologies and methods is important for improving food safety risk assessment and risk management. In this study, CiteSpace software was used to analyze a knowledge graph of popular research topics in the field of food safety risk assessment over the past 14 years, identify research keywords, and provide centrality statistics. Food safety risk assessments primarily focus on in vitro high‐throughput testing, computational toxicology, predictive microbiology, mechanistic research, and other technical methods. In the future, international coordination, cooperation, and cross‐integration of relevant disciplines should be strengthened, and research on and application of innovative technologies for food safety risk assessment should be promoted. Research on food safety risk assessment technologies and methods is in an active development stage and has good prospects for further exploration and application.

The Cicero-Appius reconciliation and Pompey’s pivotal role as mediator

Abstract The intricacies of the relationships between Roman aristocrats in the age of Cicero has been one of the most popular topics of discussion in modern scholarship. Cicero’s letters have drawn considerable attention as an invaluable source for the study of amicitiae in the late Roman republic. Nevertheless, the methods that Cicero and his contemporaries used to reconcile with their former enemies is an area that remains rather unexplored. This paper aims to shed light on the significance of letter writing as a medium for the reconciliation between Romans with an active public life and to underscore the role that mediators played in the conciliatory efforts that both parties made to restore their relationship chiefly in the public eye. The investigation focuses on Cicero’s well-attested reconciliation with Appius Claudius Pulcher. It argues that, while it was not the first instance in which Pompey instigated a reconciliation between two of his allies, its uniqueness lies in the ingenious and complex use of letter writing to effect and maintain their renewed relationship as well as in the combination of frankness and tactful manoeuvring in Cicero’s letters to him.

Evade Unknown Pursuer via Pursuit Strategy Identification and Model Reference Policy Adaptation (MRPA) Algorithm

The game of pursuit–evasion has always been a popular research subject in the field of Unmanned Aerial Vehicles (UAVs). Current evasion decision making based on reinforcement learning is generally trained only for specific pursuers, and it has limited performance for evading unknown pursuers and exhibits poor generalizability. To enhance the ability of an evasion policy learned by reinforcement learning (RL) to evade unknown pursuers, this paper proposes a pursuit UAV attitude estimation and pursuit strategy identification method and a Model Reference Policy Adaptation (MRPA) algorithm. Firstly, this paper constructs a Markov decision model for the pursuit–evasion game of UAVs that includes the pursuer’s attitude and trains an evasion policy for a specific pursuit strategy using the Soft Actor–Critic (SAC) algorithm. Secondly, this paper establishes a novel relative motion model of UAVs in pursuit–evasion games under the assumption that proportional guidance is used as the pursuit strategy, based on which the pursuit UAV attitude estimation and pursuit strategy identification algorithm is proposed to provide adequate information for decision making and policy adaptation. Furthermore, a Model Reference Policy Adaptation (MRPA) algorithm is presented to improve the generalizability of the evasion policy trained by RL in certain environments. Finally, various numerical simulations imply the precision of pursuit UAV attitude estimation and the accuracy of pursuit strategy identification. Also, the ablation experiment verifies that the MRPA algorithm can effectively enhance the performance of the evasion policy to deal with unknown pursuers.

Sports and Nutrition: A Scientometric Review

Sports nutrition, a dynamic field, benefits competitive athletes. This study examines its evolution through Scopus and Web of Science trends. The authors employed ScientoPy software to analyse various publications, prominent sports (and) nutrition research areas, (pro)active authors in the field, keywords, popular sources, and institutional information. This study exploited the data reconciliation, cluster mapping, webmetric, and scientometric methodologies to analyse 1527 individual entries from the Scopus and Web of Science databases. These databases revealed that the most popular subject matters in the field were "sports nutrition" and "sport Science," with "sports nutrition" having the most 'keynoted' word in most nutrition and dietetics journals since 2019. "Muscle" is the second most popular subject matter in sports and nutrition, demonstrating its reputation in this study area, also experiencing a meteoric rise in popularity since 2019. Our findings showed the top five most popular keywords that gained traction (on a marginal analysis base) were "Sports nutrition," "Exercise," "Sports performance," "Nutrition," and "Dietary supplements." The study's contribution to sports and nutrition is that it grants readers and future researchers a spectrum of past and current sports nutrition trends. Also, the analysis from the study will help future researchers forecast potential industry trends.

Edible Films from the Laboratory to Industry: A Review of the Different Production Methods

AbstractEdible films or coatings as potential replacements for traditional plastic food packaging are a popular subject for research. This article provides a narrative summary of the progress of research into edible food packaging and preparation methods at three different production scales over the past 5 years. First, at the laboratory research level, commonly used coating methods include dipping, vacuum dipping, and spraying. Films are mostly made by solution casting, while 3D printing film technology and electrospinning/electrostatic spraying are emerging technologies in the field. At the pilot level, panning coating, brush coating, and fluidized bed technologies give edible food packaging a more scalable and realistic approach. On an industrial manufacturing scale, in order to improve film formation efficiency, blowing, injection, calendering, etc. are generally based on the extrusion mode. Laboratory-scale research is critical for developing materials and exploring their properties. The technology used for industrial-scale production needs to consider factors such as cost and efficiency. Each technology for making food packaging needs to be selected according to the production purposes and the currently available packaging equipment. However, commonly used edible packaging source materials are generally derived from biological macromolecules such as proteins and polysaccharides. These materials are heated and extruded in industrial production, and their performance will be inferior to that of traditional plastic packaging. In addition, high cost is also a factor that must be considered.

The Spatiality of Popular Politics on the Urban Margins: Insights from Argentina and Chile

AbstractPopular politics—a heterogeneous set of grassroots demands and subjectivities antagonistic to dominant power blocs—finds itself at a crossroads in Latin America. In Argentina and Chile, progressive governments have failed to curtail a resurgent populist‐right despite, as recently as 2019, appearing to be on the brink of a new centre‐left hegemony. This paper argues that paying attention to the spatiality of popular politics demonstrates a failure to articulate popular politics within a national movement, either neglecting them (under Boric in Chile) or incorporating them in a top‐down strategy that erased particularities (under Fernández in Argentina). It does so from the vantage point of two neighbourhoods at the urban margins in Buenos Aires and Santiago. Bringing together Ernesto Laclau's work on populism together with Henri Lefebvre's relational understanding of urban space, it analyses how popular demands and subjectivities have been articulated in relation to national progressive politics.

Unveiling and advancing grassland degradation research using a BERTopic modelling approach

Grassland degradation presents overwhelming challenges to biodiversity, ecosystem services, and the socio-economic sustainability of dependent communities. However, a comprehensive synthesis of global knowledge on the frontiers and key areas of grassland degradation research has <pg=>not been achieved due to the limitations of traditional scientometrics methods. The present synthesis of information employed BERTopic, an advanced natural language processing tool, to analyze the extensive ecological literature on grassland degradation. We compiled a dataset of 4,504 publications from the Web of Science core collection database and used it to evaluate the geographic distribution and temporal evolution of different grassland types and available knowledge on the subject. Our analysis identified key topics in the global grassland degradation research domain, including the effects of grassland degradation on ecosystem functions, grassland ecological restoration and biodiversity conservation, erosion processes and hydrological models in grasslands, and others. The BERTopic analysis significantly outperforms traditional methods in identifying complex and evolving topics in large datasets of literature. Compared to traditional scientometrics analysis, BERTopic provides a more comprehensive perspective on the research areas, revealing not only popular topics but also emerging research areas that traditional methods may overlook, although scientometrics offers more specificity and detail. Therefore, we argue for the simultaneous use of both approaches to achieve more systematic and comprehensive assessments of specific research areas. This study represents an emerging application of BERTopic algorithms in ecological research, particularly in the critical research focused on global grassland degradation. It also highlights the need for integrating advanced computational methods in ecological research in this era of data explosion. Tools like the BERTopic algorithm are essential for enhancing our understanding of complex environmental problems, and it marks an important stride towards more sophisticated, data-driven analysis in ecology.

Hybrid TDR-MI Based Wireless Sensor Network for Underground Water Pipeline Leakage Detection and Localization Using Pressure Residuals and Classifiers

The pipeline leakage detection and leak localization trouble is a highly demanding and dangerous issue. Underground pipelines are critical for transporting enormous fluid volumes (e.g., water) across extended distances. Not only would solving this issue save the nation a great deal of money and resources, but it will also save the environment. However, because of the harsh climatic conditions below earth, current leak detection systems are not enough for monitoring subterranean pipelines. To address these issues, this study suggests a hybrid wireless sensor network for monitoring subterranean pipelines that is based on magnetic induction and time domain reflectometry (TDR). TDR is installed in this instance below a wireless sensor network that is based on MI. TDR significantly reduces the time needed for inspection while accurately locating the leak. Based on MI technology, we provide a wireless sensor network for inexpensive, real-time leak detection in subterranean pipelines. Through the integration of data from several sensor types located within and around subterranean pipes, MISE-PIPE detects leaks. Ad-hoc WSNs are employed in pressure measurement. (WDNs) is a popular subject that has drawn attention from scholars lately. Since leak localisation has a significant influence on the human population and the economy, time and accuracy are essential components. A broad leak localisation technique is proposed using statistical classifiers operating in the residual space. Classifiers are trained using leak data from every node in the network, accounting for demand uncertainty, noise from sensor preservatives, and leak size. After localising and identifying leaks, all monitoring data is sent to the CH using the K-means clustering technique, which performs two vital tasks: optimum clustering, extending the Network Lifetime, and maintaining Quality of Service. The K-Means technique is used to optimise the clustering process. The K-means clustering technique is used to transfer all monitoring data to the CH for the purpose of pipeline leak identification and localisation. Unlike the current underground pipeline monitoring system, our proposed Hybrid TDR-MI-based wireless sensor network allows precise real-time leak identification and localisation.

Research Trend and Future Perspectives of Traditional Chinese Medicine for Atopic Dermatitis from 2004 to 2023: A Bibliometric Analysis.

The application of bibliometric analysis gives insights into research trend and future perspectives. This paper aims to understand the current status of studies on traditional Chinese medicine (TCM) in the treatment of atopic dermatitis (AD), and to investigate the cooperation network, hotspots and trends in the field. The original data were retrieved from the Web of Science Core Collection by searching for the topic "atopic dermatitis" and "traditional Chinese medicine" with the time span of 2004-2023. Microsoft Excel was used to create statistical tables and charts, whereas CiteSpace and VOSViewer were applied for knowledge mapping. In total, 252 publications were identified and downloaded. Current research on TCM treating AD is in the steady growth period. China has the largest number of publications, whereas the USA has the greatest international influence. Notably, the Arab Emirates, Malaysia, India and Bangladesh all have a high research impact but with a low amount of publications. Universities in Hong Kong China have the largest number of publications, but their interaction with other institutions is very poor. The top three most productive authors are all from Hong Kong, having a strong collaboration network with each other. The popular research topics in this field are "children" "cell" "activation" "nf kappa b" "inflammation" "asthma" "extract" "management" and "cytokine". According to the analysis of leading co-cited journals and authors, "J ETHNOPHARMACOL" has the largest amount of citations whilst "AM J CHINESE MED" the strongest academic influence. The largest number of co-cited authors comes from "Hon Karn-Lun Ellis", a well-known scholar from Hong Kong. TCM has been widely used in AD treatment, honored for its individualized therapeutic concepts of evidence-based treatment. The academic community must form a continuous and deep-going pattern to achieve higher international influence and a stronger research degree in this field.

Mindat.org – the open access mineralogy database to accelerate data-intensive geoscience research

Abstract The mindat.org website (Mindat) has been operating since October 2000 as a free, crowd-sourced, and expert-curated database particularly focused on mineral species and their occurrences worldwide. The project has transformed from a hobbyist site in the beginning into a resource that has found use in various scientific research projects and educational programs. Together with other open data resources, Mindat has helped accelerate scientific discoveries in many fields, such as mineral evolution, mineral ecology, and the co-evolution of the geosphere and biosphere. Recently, through open data efforts, machine interfaces and software packages have been established to enable flexible data discovery and download from Mindat. We assume the data access and usage will further scale up in the next years. Although Mindat is curated by a team of geoscience and database experts across the world, the crowd-sourced records in Mindat still pose some bias. In this paper we first present an overview of the primary data subjects in Mindat, and then we give extensive details about the characteristics and bias of three most popular data subjects: locality, mineral species, and mineral occurrence. In the discussion we also give an outlook on appropriate data usage and future extension of data records. We hope users can obtain a more comprehensive view of the Mindat database through this paper and thus better plan their data use. We also hope more people will be inspired to contribute to the data curation work to make Mindat a sustained data ecosystem for geoscience research.

Handbook of the circular economy: Transitions and transformation : Book review

[Alexander, A., Pascucci, S. &amp; Charnley, F. (eds., 2023). Handbook of the circular economy: Transitions and transformation. De Gruyter, Berlin/Boston. 504 pp. ISBN 978-3-11-072322-9] Since the term “circular economy” emerged in the economic and environ-mental literature at the beginning of the 2010’s, an ever-growing number of articles, papers, reports and books have been published on this new concept that aims at the ending of the so-called linear economy and ushering into a new economic paradigm. The circular economy’s foundations lay on several schools of thought of the past almost sixty years which pro-mote closed-loop systems and nature-inspired metabolisms in the econ-omy, starting from Boulding’s seminal work “The Economics of the Com-ing Spaceship Earth” (1966) through Stahel’s “Product-Life Factor” (1982) and Pearce and Turner’s “Economics of Natural Resources and the Environment” (1994), until McDonough and Braungart’s „Cradle to Cradle” (2002) or Gradel and Allenby’s “Industrial Ecology” (2003) – just to name a few. Since the term “circular economy” was born in the past dec-ade, this concept has been a popular subject of the economic, business, environmental, technical and even popular literature (Freed &amp; Ritchie, 2021).

From Food Industry 4.0 to Food Industry 5.0: Identifying technological enablers and potential future applications in the food sector.

Although several food-related fields have yet to fully grasp the speed and breadth of the fourth industrial revolution (also known as Industry 4.0), growing literature from other sectors shows that Industry 5.0 (referring to the fifth industrial revolution) is already underway. Food Industry 4.0 has been characterized by the fusion of physical, digital, and biological advances in food science and technology, whereas future Food Industry 5.0 could be seen as a more holistic, multidisciplinary, and multidimensional approach. This review will focus on identifying potential enabling technologies of Industry 5.0 that could be harnessed to shape the future of food in the coming years. We will review the state-of-the-art studies on the use of innovative technologies in various food and agriculture applications over the last 5 years. In addition, opportunities and challenges will be highlighted, and future directions and conclusions will be drawn. Preliminary evidence suggests that Industry 5.0 is the outcome of an evolutionary process and not of a revolution, as is often claimed. Our results show that regenerative and/or conversational artificial intelligence, the Internet of Everything, miniaturized and nanosensors, 4D printing and beyond, cobots and advanced drones, edge computing, redactable blockchain, metaverse and immersive techniques, cyber-physical systems, digital twins, and sixth-generation wireless and beyond are likely to be among the main driving technologies of Food Industry 5.0. Although the framework, vision, and value of Industry 5.0 are becoming popular research topics in various academic and industrial fields, the agri-food sector has just started to embrace some aspects and dimensions of Industry 5.0.