Construction and Application of Korean-English-Japanese Multilingual Teaching Aid System Based on Knowledge Map

This article describes the design and application of a computer-based system for simultaneously teaching Korean, English and Japanese languages in a classroom setting using knowledge visualization techniques to show the relationships between vocabularies, grammars and meanings. The system consists of a knowledge database of Korean, English, and Japanese which is then uploaded into the teaching module. Visualizations of this information in the form of knowledge maps based upon generally accepted rules of knowledge map can then be displayed and contrasted using the system interface to enter user queries. The system is then tested in a blended classroom of native Korean speakers. Data on student learning experiences are then gathered by means of a questionnaire and analyzed in order to assess the overall success of knowledge acquisition in this setting. Our findings show that this system evokes a personal initiative in the learning process, facilitates communication between teachers and learners, and supports the rapid acquisition of multilingual knowledge.

A Bibliometric Analysis of Alert Override in Clinical Decision Support

The aim of this study was to understand the status and trend in alert override research over the past two decades (1999–2018). We used the Web of Science core collection (WoSCC) database to extract all papers of alert override in clinical decision support from 1999 to 2018. A total of 150 papers were identified, most (86.67%) being articles. This study presented the key bibliometric indicators such as annual publications, top 5 authors, institutions, countries, and co-occurrence of terms from the titles and abstracts. VOSviewer was used to visualize keywords knowledge maps. The results show that alert override research has a wide variety of research themes and a multidisciplinary character. This study provides a broad view of the current status and trends in alert override research. It may help researchers, clinicians and policymakers better understand alert override research field change and direction in the future.

Emerging evolution trends of application of natural products in Alzheimer’s disease

The main objective of this review was to explore the research foci and emerging trends of application of natural products in AD from 1990 to 2019 and evaluated publications qualitatively and quantitatively. CiteSpace V. 4.0 was used to identify top authors, journals, institutions, countries, keywords, co-cited articles, and trends and obtain the visual knowledge maps. Results revealed that the USA, People’s Republic of China and India were the major research countries in this field, while the Western Europe and North America were the areas with frequent international cooperation. Moreover, there was a close collaboration between universities and research institutes. The J Alzheimers Dis was the most productive journal. Alzheimers disease, natural product, brain, central nervous system, disease, and oxidative stress are some of the high centrality and high frequency keywords in the co-occurrence analysis; Indicating Alzheimers disease and its pathogenesis and natural product remain the hotspots in the field. This paper provides an insight into the application of natural products in AD, and provides useful information for AD researchers to find potential collaborators and cooperative institutions.

Recommended method study based on incorporating complex network ripple net

The RippleNet network models user preferences and is well applied in the recommended system. But Ripplenet didn't take into account the weight of entities in the knowledge graph, resulting in the inaccurate recommendation results. A RippleNet model incorporating the influence of the complex network nodes is proposed. After constructing the complex networks based on the knowledge maps, the maximum subnet model is extracted, the influence of the nodes in the map network is calculated, and the weight of the nodes is added to the RippleNet model as an entity. The experimental results showed that the present method increased the AUC and ACC values of RippleNet to 92.0% and 84.6%, made up for the problem that no entity influence was considered in the RippleNet network, and made the recommended results more in line with users' expectations.

­­­Quorum Sensing-Based Interaction Network Construction for Drugs, Microbes, and Diseases

Background:Various diseases and health are closely related to different gut microbes, which own complex interactions with diverse drugs, while the detailed targets for drug-microbe interactions are still limited and investigated separately. Quorum sensing (QS), a potential target for dealing with drug resistant, are yet to be further explored systematically for drug-microbe interactions. Furthermore, many existing studies have reported diverse casual associations among drugs, gut microbes, and diseases, which call for a systematic framework and repository to reveal their intricate interactions.Results:In this study, interactions between microbes and more than 8000 drugs have been systematically studied targeting on microbial quorum sensing receptors (LuxR, LasR, TraR, CviR, PqsR, QscR, YenR, SdiA, LsrB, LuxP, CckA) combined docking-based virtual screening technique and in vitro experimental validation. We have also illustrated the potential drug-microbe interaction network based on the predicted docking-based results to to have a more comprehensive illustration for the drug-microbe interactions, along with obtaining 14 possible potential broad-spectrum drugs for all of the 11 QS receptors. Furthermore, we have constructed a systematic framework including various connections for drugs, receptors, microbes, and diseases to form a comprehensive repository and network, which can give the QS-based underlying mechanisms for the reported causal associations between drugs and microbes at the phenotypic level. The framework, repository, and network will promote the understanding on personalized medicine and developing potential therapies for diverse diseases. Conclusions: Taken together, we curated and predicted various interactions carefully for drugs, receptors, microbes, and diseases to form a comprehensive framework, repository, and network for QS-based drug-microbe-disease interactions. This work contributes to the paradigm for the construction of the more comprehensive molecule-receptor-microbe-disease interaction network for human health that may form one of the key knowledge maps of the precision medicine in the future.

A Bibliometric Analysis of Exosomes in Cardiovascular Diseases From 2001 to 2021

Background: Exosomes in cardiovascular diseases (CVDs) have become an active research field with substantial value and potential. Nevertheless, there are few bibliometric studies in this field. We aimed to visualize the research hotspots and trends of exosomes in CVDs using a bibliometric analysis to help understand the future development of basic and clinical research.Methods: The articles and reviews regarding exosomes in the CVDs were culled from the Web of Science Core Collection, and knowledge maps were generated using CiteSpace and VOSviewer software.Results: A total of 1,039 articles were included. The number of exosome articles in the CVDs increased yearly. These publications came from 60 countries/regions, led by the US and China. The primary research institutions were Shanghai Jiao Tong University and Nanjing Medical University. Circulation Research was the journal and co-cited journal with the most studies. We identified 473 authors among which Lucio Barile had the most significant number of articles and Thery C was co-cited most often. After analysis, the most common keywords are myocardium infarction, microRNA and mesenchymal stem cells. Ischemic heart disease, pathogenesis, regeneration, stem cells, targeted therapy, biomarkers, cardiac protection, and others are current and developing areas of study.Conclusion: We identified the research hotspots and trends of exosomes in CVDs using bibliometric and visual methods. Research on exosomes is flourishing in the cardiovascular medicine. Regenerative medicine, exosome engineering, delivery vehicles, and biomarkers will likely become the focus of future research.

Accessible tourism: a bibliometric review (2008–2020)

Purpose The purpose of this paper is to reveal the knowledge evolution process, research hotspots and future trends in the accessible tourism research literature from 2008 to 2020. Design/methodology/approach A total of 213 articles on accessible tourism were selected from the core collection database of Web of Science (WoS) and analyzed using CiteSpace. Findings Over the 13-year period between 2008 and 2020, an increasing number of studies have been published concerning accessible tourism, but the overall base is still small. The research content mainly includes six modules. Among institutions, the University of Technology Sydney has published the largest number of papers. Cooperation among countries involves the USA, the United Kingdom, Australia, Portugal and China. Tourism Management is the leading journal for disseminating research on accessible tourism. Definition of “Accessible tourism” and the different scope of this phenomenon are re-discussed. In recent years, “experience” and “participation” have become the “new favorites” in accessible tourism research, which could reveal insights into future research directions. Research limitations/implications The sampling frame was defined in terms of the WoS database and even though this is an important database for global academic information, in the big data era, the authors may have to integrate information from multiple sources to comprehensively reveal and understand knowledge maps. Second, because of the operational constraints of the CiteSpace software, the authors only selected outputs published in peer-reviewed journals, excluding other published works, such as books and conference papers. Finally, because of the language restrictions of the authors, this research is limited to journals published in the English language. Practical implications Practically, the results of this study made a conclusion of accessible tourism research so that the researchers can easily know what has currently been done and what future research can do. Tourism managers can also understand the demands and the constraints of tourism for the people who have barriers to travel. They can supply more specific products for the accessible tourism and further promote the construction of barrier-free travel environments. Originality/value This paper unifies the literature on senior tourism and people with disabilities tourism, and uses CiteSpace to construct data and network visualizations, including a burst and dynamic analysis for the period covered by the sample. Furthermore, this paper proposed a more diversified accessible tourism.

The Role of Media Literacy in the Educational Field in the Conditions of a Pandemic

The article analyzes the regulatory framework for the introduction of media education in the education system of Ukraine, identifies key competencies that modern youth should possess. The purpose of the article is to analyze the international experience of implementing media literacy curricula in the educational process. The following methods were used in the research: analysis of scientific and pedagogical literature, generalization, synthesis, formulation of conclusions. Results. The international experience of implementation of media literacy curricula in the educational process was studied. A scheme of a single information and educational space in the context of media education has been built, which will ensure the formation of a conscious and responsible consumer of media content. The authors have proposed the ways to organize collaboration with the class, together with the stages of training "Learning and behavior in the virtual classroom". The benefit of the study is that the possibilities of services and resources for collaboration remotely in a Covid-19 pandemic are analyzed, namely services for creating knowledge maps (Coggle, Cacoo), and bulletin boards (Padlet, Linoit), which allow you to organize collaboration and provide proper functionality. The article suggests the examples of tasks with the use of these resources are demonstrated. The authors state that for a long time media literacy has grown and evolved, but it is important to understand that recent advances and events, such as fake news, propaganda, bias, stereotypes and their widespread mechanisms in the fake media, have made media literacy even more relevant and necessary. They define that media literacy is a worldview; it forms a different view of everything we read, see and hear. Conclusions. The expected results of the formation of media competence and digital literacy as its component due to the integration of media education into compulsory disciplines, separate special courses, electives or clubs are formulated in the article as an important and necessary prerequisite for the formation of a modern information society. The authors conclude that the acquired knowledge, skills and abilities will allow people to analyse, critically evaluate and create messages of different genres and forms for different types of media, as well as to understand and analyse the complex processes of media functioning in society and their impact on their lives.

Visualizing risk factors of dementia from scholarly literature using knowledge maps and next-generation data models

Scholarly communication of knowledge is predominantly document-based in digital repositories, and researchers find it tedious to automatically capture and process the semantics among related articles. Despite the present digital era of big data, there is a lack of visual representations of the knowledge present in scholarly articles, and a time-saving approach for a literature search and visual navigation is warranted. The majority of knowledge display tools cannot cope with current big data trends and pose limitations in meeting the requirements of automatic knowledge representation, storage, and dynamic visualization. To address this limitation, the main aim of this paper is to model the visualization of unstructured data and explore the feasibility of achieving visual navigation for researchers to gain insight into the knowledge hidden in scientific articles of digital repositories. Contemporary topics of research and practice, including modifiable risk factors leading to a dramatic increase in Alzheimer’s disease and other forms of dementia, warrant deeper insight into the evidence-based knowledge available in the literature. The goal is to provide researchers with a visual-based easy traversal through a digital repository of research articles. This paper takes the first step in proposing a novel integrated model using knowledge maps and next-generation graph datastores to achieve a semantic visualization with domain-specific knowledge, such as dementia risk factors. The model facilitates a deep conceptual understanding of the literature by automatically establishing visual relationships among the extracted knowledge from the big data resources of research articles. It also serves as an automated tool for a visual navigation through the knowledge repository for faster identification of dementia risk factors reported in scholarly articles. Further, it facilitates a semantic visualization and domain-specific knowledge discovery from a large digital repository and their associations. In this study, the implementation of the proposed model in the Neo4j graph data repository, along with the results achieved, is presented as a proof of concept. Using scholarly research articles on dementia risk factors as a case study, automatic knowledge extraction, storage, intelligent search, and visual navigation are illustrated. The implementation of contextual knowledge and its relationship for a visual exploration by researchers show promising results in the knowledge discovery of dementia risk factors. Overall, this study demonstrates the significance of a semantic visualization with the effective use of knowledge maps and paves the way for extending visual modeling capabilities in the future.