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This study aims to identify and document the traditional knowledge of medicinal plants traded in the Hamyang traditional market of Gyeongsangnam-do, Korea. Data were collected through interviews, informal meetings, and observations using semi-structured questionnaires. Interviews were conducted with 13 informants, and the data were quantitatively analyzed using use value (UV), informant consensus factor (ICF), fidelity level (FL), and network analysis (NA). A total of 68 medicinal plant species, belonging to 63 genera and 39 families, were reported. The most frequently cited families were Araliaceae (15 mentions) and Rhamnaceae (14 mentions). The most commonly used plant parts were roots (38.51%), followed by stems (24.14%). The most common mode of preparation was decoction (35.00%). The highest value of the informant consensus factor (ICF) was observed for liver complaints (0.71), while the lowest values were recorded for birth-related disorders, skin diseases and disorders, and cuts and wounds (each 0.00). In the study, fidelity levels (FL) ranged from 12.5% to 100%, and use values (UV) ranged from 0.08 to 0.62. In the network analysis, the most significant medicinal plants were Eleutherococcus sessiliflorus (Rupr. & Maxim.) S.Y.Hu and Berchemia berchemiaefolia (Makino) Koidz., while the most significant disease was gastrointestinal disorder. The results of this study provide basic data for the conservation of traditional knowledge and medicinal plants, support further research for the development of new drugs, and contribute to the revitalization of the local economy.

Purpose Although North Korea invests in scientific research, few selected research results are published to international journals. However, the latest peaceful political developments around North Korea have increased concerns about how they will support international scientific cooperation. This study aims to analyze the scientific collaboration and intellectual structure of North Korean researchers. Methods We conducted a co-word analysis with author keywords and author names using the Web of Science records for 1976?2018 to observe the changes in research trends in North Korea. The structure of the median centrality of words and the parallel nearest neighbor clustering methods were used to visualize the results. Results The analysis of 55 final keywords confirms that the corresponding network is composed of 17 sub-clusters under four areas. As a result of the investigation of 56 final author names, the corresponding network is composed of 15 sub-clusters under four areas. Conclusion As more accurate information is needed about collaboration partners to ensure successful cooperation, this analysis result can support getting an overview of North Korea’s research community and their research network.

Purpose: This secondary data analysis study examined adults’ levels and networks of obesity-related health behaviors according to the life cycle stage. Methods: Participants included 5,203 adults aged 19?79 years who participated in the third year of the eighth Korea National Health and Nutrition Examination Survey (2021). Life cycle stages were divided into young, middle-aged, and older adult groups. Obesity status was classified based on a body mass index of 25 kg/m2. Selected obesity-related health behaviors included alcohol abstinence, not smoking, proper sleep, eating breakfast, fruit intake, vegetable intake, not eating out, aerobic physical activity, walking, and weight training. Obesity-related health behavior networks were analyzed for density, inclusiveness, degree, and degree/closeness/betweenness centrality using social network analysis. Results: Participants’ obesity rate was 37.6%, with the highest rate observed in the older adult group (39.2%). In all life cycle stages, the non-obese group had a higher density and average degree in the obesity-related health behavior network than the obese group. The young adult group showed higher centrality for vegetable intake, not smoking, alcohol abstinence, and proper sleep. The middle-aged group generally had higher centrality for health behaviors, whereas the older adult group had lower overall centrality for health behaviors, especially proper sleep and physical activity-related behaviors. Conclusion: There were differences in the levels and network structures of obesity-related health behaviors according to the life cycle stage, indicating a need for differentiated obesity-management strategies according to the life cycle stage.

Recently, there has been a growing interest in intolerance of uncertainty (IU) as a transdiagnostic risk factor for various men tal disorders. However, no consensus has been reached on the components that comprise IU. Considering that while the rela tionship between IU and internalizing symptoms such as anxiety and depression has been well-established, a dearth of stud ies elucidates how each IU component is specifically related to anxiety and depression. Given its close relationship to internal izing symptoms, understanding the distinct correlations between each IU facet and internalizing symptoms becomes pivotal for effective interventions. Therefore, this study conducted a network analysis to delineate IU structure and how each compo nent is related to state/trait anxiety and depression. Using the Intolerance of Uncertainty Scale (IUS), the most central item, structure, and relationship within the scale were identified. The relationship between IU and internalizing symptoms was also examined and the clinical implications of each result are discussed.

Purpose: This study conducted a comprehensive analysis of North Korean domestic journals, using scientific quantification methodologies to identify prominent researchers and research areas within the field of chemistry. Methods: Data were collected from the journal Chemistry and Chemical Engineering published in North Korea. Through an analysis of co-authorship relations and literature reviews of papers authored by researchers who were highly influential in research networks, core research areas were identified. Results: The researcher with the highest number of publications in the given period was YongChol Lee, with 31 publications, followed closely by Gyun Kim, who also demonstrated significant research activity. When focusing on the last 5 years, Myeong-Cheol Hong emerged as a prominent figure. Yong-Chol Lee has expertise across diverse fields of chemistry, including fine chemicals, biochemistry, and mineral materials. Gyun Kim, in contrast, is recognized for his in-depth knowledge of organics, enzymes, processes, catalysis, fine chemicals, and industrial chemistry. Myung-Cheol Hong’s research primarily centers around organic chemical synthesis within the fine chemical domain. All three researchers are making substantial contributions to the chemical industry. Conclusion: The findings of this study provide valuable insights into research trends in the field of chemistry in North Korea and contribute to a broader understanding of the discipline’s internal knowledge structure within the global academic community. This research is anticipated to be especially useful for scholars who are analyzing bibliographic information pertaining to North Korea.

Purpose: The aim of this study is to identify core keyword of frailty research in the past 35 years to understand the structure of knowledge of frailty. Methods: 10,367 frailty articles published between 1981 and April 2016 were retrieved from Web of Science. Keywords from these articles were extracted using Bibexcel and social network analysis was conducted with the occurrence network using NetMiner program. Results: The top five keywords with a high frequency of occurrence include ‘disability’, ‘nursing home’, ‘sarcopenia’, ‘exercise’, and ‘dementia’. Keywords were classified by subheadings of MeSH and the majority of them were included under the healthcare and physical dimensions. The degree centralities of the keywords were arranged in the order of ‘long term care’ (0.55), ‘gait’ (0.42), ‘physical activity’ (0.42), ‘quality of life’ (0.42), and ‘physical performance’ (0.38). The betweenness centralities of the keywords were listed in the order of depression’ (0.32), ‘quality of life’ (0.28), ‘home care’ (0.28), ‘geriatric assessment’ (0.28), and ‘fall’ (0.27). The cluster analysis shows that the frailty research field is divided into seven clusters: aging, sarcopenia, inflammation, mortality, frailty index, older people, and physical activity. Conclusion: After reviewing previous research in the 35 years, it has been found that only physical frailty and frailty related to medicine have been emphasized. Further research in psychological, cognitive, social, and environmental frailty is needed to understand frailty in a multifaceted and integrative manner.

본 연구는 최근 10년 동안(2009-2018) 국내 학술지에 발표된 감정노동(emotional labor) 관련 892편의 논문을 텍스트 마이닝(text-mining) 및 네트워크 분석(network analysis)을 활용하여 연구동향을 파악하는 것이 목적이다. 이를 위해 이들 논문의 주제어를 수집 및 코딩하여 최종적으로 871개의 노드(node)와 2625개의 링크 (link)로 변환시켜 네트워크 텍스트로 분석하였다. 첫째, 네트워크 텍스트 분석 결과로 동시출현빈도에 따른 상 위 4개 주요 주제어는 번아웃, 이직의도, 직무스트레스, 직무만족 순으로 나타났으며, 연결중심성에 따른 상위 4 개 주제어들의 빈도와 연결중심성 모두 비교적 높은 것으로 확인되었다. 둘째, 연결중심성 상위 4개의 주제어를 바탕으로 자아(ego)연결망 분석을 실시하여 각 네트워크의 연결중심도에 대한 주제어를 제시하였다.

The purpose of this study was to identify research trends of 892 domestic articles (2009-2018) related to emotional labor by using text-mining and network analysis. To this end, the keyword of these papers were collected and coded and eventually converted to 871 nodes and 2625 links for network text analysis. First, network text analysis revealed that the top four main keyword, according to co-occurrence frequency, were burnout, turnover intention, job stress, and job satisfaction in order and that the frequency and the top four core keyword by degree centrality were all relatively the high. Second, based on the top four core keyword of degree centrality the ego network analysis was conducted and the keyword for connection centroid of each network were presented.

이 연구에서는 노무현 시기의 경찰청장과 이명박 정부 시기의 경찰청장이 지향하는 가치와 정책우선순위의 차이를 실증적으로 비교 분석하여, 어떠한 차이를 보이고 있는지를 도출하고자 하였다. 이러한 분석을 위해 경찰청장 취임사를 활용하여 언어 네트워크 분석을 실시하였으며, 역대 경찰청장의 취임사를 실증적으로 분석함으로써 경찰정책의 과거와 변화를 되새겨 보고, 아울러 이를 토대로 향후 바람직한 경찰정책의 방향을 모색하고자 하였다. 결과적으로, 첫째, 노무현 정부 시기와 이명박 정부 시기의 경찰청장들의 취임사의 언어 네트워크 분석결과, 공통적으로 ‘경찰’, ‘국민’이라는 핵심키워드가 공통적으로 빈도수가 높다는 점이다. 둘째, 차이점으로는 대체적으로 노무현 정부 시기의 경찰청장들은 ‘인권’, ‘봉사’라는 핵심주제어를 빈번하게 사용한 반면에, 이명박 정부의 경찰청장들은 ‘기본’, ‘원칙’, ‘신뢰’, ‘법질서’, ‘일’, ‘선진’ 등의 핵심주제어가 빈번하게 사용되었다. 셋째, 중심성 분석 결과에서도 ‘경찰’, ‘국민’ 등의 주제어는 중심성 값이 공통적으로 높았고, 차이점으로는 노무현 정부 시기의 청장들은 ‘인권’, ‘참여’, ‘공정’, ‘해소’, ‘서비스’, ‘보호’ 등의 주제어가 중심성 값이 높은 반면에, 이명박 정부 시기의 청장들은 ‘원칙’, ‘기본’, ‘신뢰’, ‘역량’, ‘선진’, ‘능력’ ‘일’, ‘성과’, ‘위기’, ‘힘’ 등의 주제어가 중심성 값이 높았다. 이와 같이, 노무현 정부 시기의 경찰청장들과 이명박 정부 시기의 경찰청장들은 그들의 취임사를 통해서 추구하고자 하는 가치지향과 경찰정책을 달리했음을 알 수 있다.

This study attempted to induce difference in values and policy priority between commissioners of National Police Agency in Rho Moo Hyun government and those in Lee Myung Bak government by performing a comparative analysis of their values and policy priorities empirically. For this, semantic network analysis was performed on the inaugural address of the commissioners. This study tried to review past police policies and changes in police policies by analyzing inaugural address of commissioners empirically, and to search for the desirable direction of police policy. Conclusively, first, there was common thing between inaugural address of commissioners in both governments, which is they used core keywords such as 'police' and 'people.' Second, the difference between addresses is that commissioners in Rho Moo Hyun government used 'human rights' and 'services' frequently as key words while commissioners in Lee Myung Bak government used 'basic,' 'principles,' 'trust,' 'law order, 'work,' and 'advanced' more frequently as key words. Third, in the analysis of centrality, key words such as 'police' and 'people' had high centrality value in common. Difference was that 'human rights,' 'participation,' 'fairness,' 'solution,' 'service,' and 'protection' and 'services' had high centrality in No Mu‐hyun government, while 'principle,' 'basic,' 'trust,' 'competency,' 'advanced,' 'competency,' 'work,' 'performance,' 'risk,' and 'strength' had high centrality in Lee Myung‐bak government. As such it was found that National Police Agency Commissioners in No Mu‐hyun government and Lee Myung‐bak government had different value orientation and accordingly different police policies through their inauguration addresses.

Clustering of vehicles is an important technique to reduce the high mobility effect of vehicles. This paper proposes an analytical model to evaluate the performance of a clustered vehicular ad hoc network (VANET). The analytical model is developed to evaluate three important parameters, namely packet delivery ratio, throughput, and delay. The results obtained from the analytical model are also accompanied by simulation results. This model can be further extended by researchers working on clustered VANET scenarios and will be helpful in modeling their protocols or algorithms. Furthermore, this model can verify the simulation results obtained from any network simulator.

Purpose: This study aimed to examine research trends and thematic keyword networks in disaster nursing competency literature published up to September 15, 2024. Methods: A retrospective descriptive design was used to analyze English-language articles retrieved from five databases (CINAHL, Cochrane, Embase, PubMed, and Web of Science) through September 15, 2024. Following PRISMA guidelines, 256 articles and 1,318 keywords were extracted. NetMiner 4.0 was used for keyword preprocessing and analysis. Word clouds and text network analyses were performed. Degree and betweenness centralities were calculated to determine keyword prominence and network roles. Results: Annual publications increased notably after 2020, coinciding with the COVID-19 pandemic. Studies originated from 32 countries, with the United States, China, and Iran leading. Cross-sectional quantitative (34.0%) and qualitative studies (26.6%) were the most commonly used study designs. From 44 high-frequency keywords, “nurses,” “preparedness,” “competency,” and “disaster nursing” ranked highest in both centrality measures. “Education” and “management” also showed strong centralities. Cluster analysis revealed that preparedness and response phases were emphasized more than mitigation and recovery. Conclusion: This study provides a comprehensive visualization of disaster nursing competency research. Findings highlight the dominance of preparedness-focused studies, limited exploration of mitigation and recovery. Future research should prioritize broader disaster phases, standardize terminology, and conduct evidence-based intervention studies to strengthen disaster nursing practice and education.

Purpose : Elderly isolation is increasingly recognized as a critical public health issue, affecting individual health, social relationships, and national economies. This study investigated the intellectual structure of elderly isolation research using bibliometric network analysis. Methods : A total of 604 studies containing “elderly” and “isolation” as keywords were analyzed using the Springer Nature Search Engine and NetMiner. From these, 6,479 related keywords were extracted to examine research trends, centrality, and network relationships. Topic modeling identified research sub-themes. Results : Research steadily increased since 1976, with rapid growth after 2010. The most central keywords included Health (.395), Social (.256), Patient (.221), Life (.219), and Loneliness (.219). Word network analysis identified high-weighted terms, such as AF-Fibrillation (28), Care-Home (28), and Ablation-Catheter (27). Topic modeling provided additional insights into sub-themes within the top central keywords. Conclusion : This study underscores the multidimensional nature of elderly isolation research, spanning health, social, and community domains. The bibliometric approach offers valuable insights into research trends, highlighting the growing significance of elderly isolation and the pressing need for interdisciplinary strategies. The findings emphasize avenues for targeted research and policy development to address this essential public health issue.

Purpose: The landscape of academic publishing is experiencing significant transformations, characterized by an increasing volume of research output and the growth of interdisciplinary studies. These developments pose complex challenges for editorial boards, necessitating advanced strategies for submission management and the maintenance of publication standards. Methods: Utilizing network analysis, this study examined 1,865 articles from Applied Biological Chemistry and 1,081 articles from Journal of Applied Biological Chemistry, revealing distinct thematic and methodological orientations within these journals. Results: Applied Biological Chemistry demonstrated a pronounced focus on extraction processes, while Journal of Applied Biological Chemistry focused more on fermentation techniques and enzymatic studies. This differentiation highlights the journals’ unique contributions to the field of applied life sciences and underscores the diversity within academic publishing. Conclusion: The findings of this study not only shed light on the subtle distinctions between Applied Biological Chemistry and Journal of Applied Biological Chemistry but also emphasize the critical role of articulating the journal scope in detail in helping authors find the most suitable publication venues for their interdisciplinary research. By showcasing the utility of bibliometrics and network analysis, this research provides valuable insights for editorial boards to refine their management processes and for authors to navigate the complex landscape of academic publishing effectively, thereby enhancing the dissemination and impact of scholarly work.

Purpose This study aimed to analyze the bibliographic characteristics and content of articles on flood management published in journals indexed by Scopus written by researchers from throughout the world from 2000 to 2019. Methods We obtained data from the Scopus database on October 2, 2020. “Flood management” was used to search across several categories, including article title, abstract, and keywords, filtered by subject area (social science; environmental science; and business, management, and accounting). We only retrieved articles written in English. We conducted content analysis using the VOSviewer software and visualized the co-occurrence of keywords and bibliographic coupling of sources and countries. Results Following the study protocol, we found 984 articles on flood management over the past 20 years. Among the three subject areas, environmental science was the most productive field for publishing flood management articles. Flood control, flood management, and risk assessment were the top three most popular topics. Flood management publications were published in 266 journals. In total, 86 countries collaborated to produce research related to flood management. Natural Hazard Journal and Journal of Flood Risk Management were the most prominent journals. Institutions from Europe ominated the top 10 institutions with the most publications by affiliated researchers. Conclusion From a global perspective, flood management research in the past two decades has increased significantly. There were five major topic clusters, and European-published journals ominated publications. Thus, Asian institutions need to conduct more active research on this topic.

Purpose: This study aimed to identify the main keywords and research topics used in research on problematic smartphone use (PSU) among children (6-12 years old), including parental factors. Methods: The publication period for the literature was set from January 2007 to January 2022, as smartphones were first released in 2007. In total, 395 articles were identified, 230 of which were included in the final analysis. Text network analysis was performed using NetMiner 4.5. Results: Research on this topic has steadily increased since 2007, with 40 papers published in 2021. Eight main research topics were derived: group 1, parental attitudes; group 2, children's PSU behavior and parental support; group 3, family environment and behavioral addiction; group 4, social relationships; group 5, seeking solutions; group 6, parent-child relationships; group 7, children's mental health and school adaptation; and group 8, PSU in adolescents. Conclusion: Parental factors related to PSU have been studied in various aspects. However, more active research on school-age children's PSU needs to be conducted due to the paucity of research in this population compared to studies conducted among adolescents. The results of this study provide useful data for selecting research topics in the field of PSU.

Purpose: This study analyzed research trends related to childhood and adolescent cancer survivors (CACS) using word co-occurrence network analysis on studies registered in the Korean Citation Index (KCI). Methods: This word co-occurrence network analysis study explored major research trends by constructing a network based on relationships between keywords (semantic morphemes) in the abstracts of published articles. Research articles published in the KCI over the past 10 years were collected using the Biblio Data Collector tool included in the NetMiner Program (version 4), using "cancer survivors", "adolescent", and "child" as the main search terms. After pre-processing, analyses were conducted on centrality (degree and eigenvector), cohesion (community), and topic modeling. Results: For centrality, the top 10 keywords included "treatment", "factor", "intervention", "group", "radiotherapy", "health", "risk", "measurement", "outcome", and "quality of life". In terms of cohesion and topic analysis, three categories were identified as the major research trends: "treatment and complications", "adaptation and support needs", and "management and quality of life". Conclusion: The keywords from the three main categories reflected interdisciplinary identification. Many studies on adaptation and support needs were identified in our analysis of nursing literature. Further research on managing and evaluating the quality of life among CACS must also be conducted.

Purpose: While digital transformation has become a necessary trend for hospitals, it imposes technostress(TS) on nurses working on the healthcare front lines. According to previous research, it increasesconflict between nurses and patients, but the mechanism and age difference are ignored. Methods: A total of 672 nurses were recruited from five hospitals in Liaoning Province, China. Networkanalysis was adopted to analyze the network characteristics among TS, job burnout (BO), and workengagement (WE), as well as to compare gender differences. Results: The expected influence of techno-induced invasion of privacy was highest for nurses agedbelow the age of 40 (±1.15), while techno-induced role ambiguity was more significant for those agedabove 40 years (±0.98). The betweenness of BO was highest (emotional exhaustion = 1.34 andcynicism = 1.77). For nurses aged below 40, the betweenness of cynicism was higher (2.06) than that ofolder nurses, and it had a negative association with dedication (W = ?? .08). Conversely, for older nurses,the betweenness of cynicism was higher (1.27) compared to nurses below 40 and was negativelyassociated with absorption (W = ?? .06). Conclusion: (1) Younger nurses suffer more from invasion of privacy, while older nurses are moreconcerned about role ambiguity. (2) Technostress is positively and directly associated with BO and hasan indirect negative relationship with WE through BO. (3) Controlling cynicism is more important foryounger nurses, while emotional exhaustion is more important for older nurses. This research helps inunderstanding the complex interrelationships and helps hospital administrators to better addressnurses' stress and adapt targeted strategies during digital transformation.

Purpose: The purpose of this study is to identify the knowledge structure of the concept of resilience of dementia caregivers and to understand core topics and the trends in dementia caregiver resilience research over time. Methods: This study is a quantitative content analysis using text network analysis on the studies on resilience of caregivers of people with dementia. We searched the available literature in two scientific databases, PubMed and the Web of Science. Term frequency, the number of co-occurrence, and centrality were analyzed, and Latent Dirichlet Allocation (LDA) analysis was conducted with Net Miner program. Results: A total 187 articles were identified. The core keywords found were "care", "family", "support", "burden", "intervention", "health", "stress", "relationship", "symptom", "depression", "partner", and "quality of life". Four main topics were identified through the LDA analysis, such as "support from family and social resources", "hardships to overcome", "building strength to overcome adversity", and "coping with negative emotions". There was only one study before 2000, but the number of studies steadily increased to 50 for the years 2011-2015, and 111 for the years 2016-2020. Conclusion: This is the first study to analyze the knowledge structure and research trend of resilience research of caregivers of people with dementia through social network analysis and topic modeling. This study provides a scientific basis of the future studies in Korea. Moreover, it is meaningful in that it brought a comprehensive understanding of the studies by comprehensively analyzing the studies of the resilience of caregivers of people with dementia.

Purpose: Ankle pump exercises (APE) have been widely used in clinical practice. However, best practices for APE have not been established. Recognize the most effective frequency of APE for improving lower extremity hemodynamics and establish recommendations in clinical practice. Methods: Therefore, a systematic review and network meta-analysis (NMA) was performed according to PRISMA-NMA. Six English databases (Pubmed, Medline, CINAHL, Embase, the Cochrane library and ProQuest) and four Chinese databases (CNKI, Wanfang, VIP and Sinomed) were searched. Randomized controlled trials (RCTs) and quasi-experimental studies investigating the effects of different frequencies of APE on lower limb hemodynamics published before July 2022 were included. The reference list was also searched. Seven studies (one RCTs and six quasi-experimental studies) were included in the systematic review and five studies (one RCTs and four quasi-experimental studies) were included in the NMA. The risk of bias was assessed using the Cochrane and Joanna Briggs Institute tools. The NMA was performed using the R software (version 4.2.1) and OpenBUGS (version 3.2.3). Results: The results of the NMA showed that a frequency of every 3e4 s the most effective in improving lower extremity hemodynamics (P ¼.85), followed by every 1e2 s (P ¼ .81), every 5e6 s (P¼.32) and less than every 10 s (P ¼.02). Subgroup analysis failed to find a difference between healthy participants and those with unilateral total hip arthroplasty or fracture (MD ¼ A0.23, 95% CI-5.92 to 4.61). Conclusions: Consequencely, for adult patients, with or without lower extremity disease, a frequency of every 3e4 s can be recommended as the optimal frequency of APE in clinical care practice.

In this paper, we mathematically analyze bit-error rate (BER) and diversity order of physical-layer network coding (PNC) scheme in the two-way relay channel (TWRC) under the assumption of multiple antennas at relay node. We assume the quadrature phase shift keying (QPSK) modulation for simple data transmission in IoT applications, and max?min transmit antenna selection (TAS) scheme in the broadcast (BC) phase for achieving full diversity gain. In particular, we obtain the upper bound of BER at the multiple access (MA) phase, while deriving the exact BER performance at the BC phase. To the best our knowledge, the mathematical analysis in this paper is the first analytical results in the literature. Through computer simulations, the analytical results are validated.

Due to the sensitivity of the information required to detect network intrusions efficiently, collecting huge amounts of network transactions is inevitable and the volume and details of network transactions available in recent years has been high. The meta-heuristic anomaly based assessment is vital in an exploratory analysis of intrusion related network transaction data. In order to forecast and deliver predictions about intrusion possibility from the available details of the attributes involved in network transaction. In this regard, a meta-heuristic assessment model called the feature correlation analysis and association impact scale is explored to estimate the degree of intrusion scope threshold from the optimal features of network transaction data available for training. With the motivation gained from the model called “network intrusion detection by feature association impact scale” that was explored in our earlier work, a novel and improved meta-heuristic assessment strategy for intrusion prediction is derived. In this strategy, linear canonical correlation for feature optimization is used and feature association impact scale is explored from the selected optimal features. The experimental result indicating that the feature correlation is has a significant impact towards minimizing the computational and time complexity of measuring the feature association impact scale.