• Journal of Korean Medicine Rehabilitation
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• v.32 no.2
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• pp.65-81
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• 2022

Objectives This study aimed to assess the effects of oral administration of deer antler extracts on an osteoporosis-induced animal model. We analyzed the results of using deer antler single extracts on animal models with osteoporosis through a systematic review and meta-analysis. Methods We included osteoporosis studies in animal experiments that administrated deer antler extracts orally. We searched the following 13 databases without a language restriction: PubMed, EMBASE, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), China National Knowledge Infrastructure (CNKI), Wanfang, Korean Medical Database (KMbase), National Digital Science Library (NDSL), Korean Traditional Knowledge (Koreantk), Oriental Medicine Advanced Searching Integrated System (OASIS), Research Information Sharing Service (RISS), Korea Institute of Science and Technology Information (KISTI), and Koreanstudies Information Service System (KISS). We used Systematic Review Centre for Laboratory Animal Experimentation's risk of bias tool for assessing the methodological quality of the included studies. Results A total of 299 potentially relevant studies were searched and 11 were included for a systematic review. Nine studies used a single deer antler extract. A study compared the effects of single extracts of deer antler and antler glue, while another study compared the effects of three single extracts of deer antler, old antler, and antler glue. For evaluating the intervention effect, bone mineral density (BMD) was measured as the primary outcome, while the histomorphometric indicators of the bone and serum alkaline phosphatase and osteocalcin levels were used as the secondary outcome variables. On conducting a meta-analysis of studies on single deer antler extract, BMD was observed to be significantly increased compared to that in control group (standardized mean difference [SMD]=2.11; 95% confidence interval [CI]=1.58~2.65; Z=7.75; p<0.00001; I²=56%). As a result of meta-analysis, according to the concentration of deer antler, the group with high concentration showed statistically significantly higher BMD than the group with low concentration (SMD=1.28; 95% CI=0.74~1.82; Z=4.63; p<0.00001; I²=9%). Conclusions The research shows that the deer antler extracts have significant anti-osteoporotic effects on the osteoporosis-induced animal model. However the studies included in this research had a high methodological risk of bias. This indicates the requirement of considerable attention in the interpretation of the study results.

• Tuberculosis and Respiratory Diseases
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• v.87 no.3
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• pp.234-251
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• 2024

Globally, providing evidence on the economic burden of chronic obstructive pulmonary disease (COPD) is becoming essential as it assists the health authorities to efficiently allocate resources. This study aimed to summarize the literature on economic burden evidence for COPD from 1990 to 2019. This study examined the economic burden of COPD through a systematic review of studies from 1990 to 2019. A search was done in online databases, including Web of Science, PubMed/Medline, Scopus, and the Cochrane Library. After screening 12,734 studies, 43 articles that met the inclusion criteria were identified. General study information and data on direct, indirect, and intangible costs were extracted and converted to 2018 international dollars (Int$). Findings revealed that the total direct costs ranged from Int$ 52.08 (India) to Int$ 13,776.33 (Canada) across 16 studies, with drug costs rannging from Int$ 70.07 (Vietnam) to Int$ 8,706.9 (China) in 11 studies. Eight studies explored indirect costs, while one highlighted caregivers' direct costs at approximately Int$ 1,207.8 (Greece). This study underscores the limited research on COPD caregivers' economic burdens, particularly in developing countries, emphasizing the importance of increased research support, particularly in high-resource settings. This study provides information about the demographics and economic burden of COPD from 1990 to 2019. More strategies to reduce the frequency of hospital admissions and acute care services should be implemented to improve the quality of COPD patients' lives and reduce the disease's rising economic burden.

• Journal of Korean Medicine Rehabilitation
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• v.28 no.3
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• pp.27-38
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• 2018

Objectives The aim of this research is to analyze research trends on fracture animal experimental study in Korea. Methods For reviewing research, we constructed a key question as the effect of herbal medicine on fracture healing and selected fracture animal experimental research. We searched the following 6 databases: KoreaMed, Kmbase, Koreanstudies Information Service System (KISS), National Digital Science Library (NDSL), Korea Institute of Science and Technology Information (KISTI), Oriental Medicine Advanced Searching Integrated System (OASIS). Results A total of 283 potentially relevant studies were identified; only 12 studies were selected for reviewing research. Almost studies showed that herbal medicine had significant effect on fracture healing. Conclusions The research showed that herbal medicine could significantly stimulate fracture healing and reduced inflammation. In the future, more fracture animal experimental study should be actively conducted.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.1
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• pp.171-197
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• 2021

The purpose of this study is to suggest the ways of improving systematic records management based on the results of analyzing the present records management situation of college and department in an university which is operating archives. To achieve the purpose, survey and interview of the persons in charge of producing and managing the administrative documents of college and department were conducted. Furthermore, actual condition investigation of records management of college and department and university archives were analyzed. According to the results of analysis, the following problems were found: 1) lack of sufficient records management by college and department, 2) lack of understanding of tasks by processing staffs, 3) operational problems of university archives. Based on the results, recommendations were made as follows; First, it is necessary to improve an awareness of records management by operating staffs. Second, it is necessary to educate staffs through the development of training programs reflecting the characteristics of the university and set up guidelines for records management by college and department. Third, it is necessary to execute reorganization and supplement the personnel of university archives.

• Journal of Society of Preventive Korean Medicine
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• v.24 no.1
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• pp.1-14
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• 2020

Objectives : The purpose of this systematic review was to investigate the efficacy and safety of Sanjoin-tang (Suanzaoren decoction, SZRD) for insomnia in menopausal syndromes. Method : We searched the following databases: PubMed, Cochrane Library, EMBASE, China National Knowledge Infrastructure (CNKI), Chinese Science and Technique Journals Database (VIP), Wanfang, Research Information Service System (RISS), OASIS, Korean studies Information Service System (KISS), and National Digital Science Library (NDSL) databases. Randomized controlled trials (RCTs) or quasi-RCTs that used SZRD for women in menopause were included. The methodological quality of each RCT was assessed using the risk of bias tool. Results : In total, nine RCTs were finally included. The included RCTs had a high risk of bias across their domains. Three RCTs examined the effects of SZRD compared with western medicine (WM) in insomnia. Three RCTs showed favorable effects of SZRD with insomnia. Infrastructure also showed that SZRD resulted in better clinical WM (RR 1.19, 95% CI 1.07 to 1.32, P=0.001, I²=0%). Four RCTs showed favorable effects of Modified SZRD with insomnia. Infrastructure also showed that Modified SZRD resulted in better clinical WM (RR 1.13, 95% CI 1.04 to 1.23, P=0.004, I²=0%). Among the 4 RCTs, three RCTs showed an equivalent effect on the total Pittsburh Sleep Quality Index (PSQI). The meta-analysis also showed that Modified SZRD had a superior effect on the total of PSQI (total of PSQI : MD -2.55, 95% CI -3.72 to -1.37, P<0.0001, I²=85%). Only 2 trials reported adverse events and none reported severe adverse events. Conclusion : SZRD appears to be safe, but there is insufficient evidence to make a definitive conclusion because only a few studies reported adverse events. Due to the poor methodological quality of the included studies and the small number of trials included, the evidence cannot be reproduced and assessed. Well-designed RCTs with a larger sample size are needed in the future.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.69-92
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• 2015

The explosion of social media data has led to apply text-mining techniques to analyze big social media data in a more rigorous manner. Even if social media text analysis algorithms were improved, previous approaches to social media text analysis have some limitations. In the field of sentiment analysis of social media written in Korean, there are two typical approaches. One is the linguistic approach using machine learning, which is the most common approach. Some studies have been conducted by adding grammatical factors to feature sets for training classification model. The other approach adopts the semantic analysis method to sentiment analysis, but this approach is mainly applied to English texts. To overcome these limitations, this study applies the Word2Vec algorithm which is an extension of the neural network algorithms to deal with more extensive semantic features that were underestimated in existing sentiment analysis. The result from adopting the Word2Vec algorithm is compared to the result from co-occurrence analysis to identify the difference between two approaches. The results show that the distribution related word extracted by Word2Vec algorithm in that the words represent some emotion about the keyword used are three times more than extracted by co-occurrence analysis. The reason of the difference between two results comes from Word2Vec's semantic features vectorization. Therefore, it is possible to say that Word2Vec algorithm is able to catch the hidden related words which have not been found in traditional analysis. In addition, Part Of Speech (POS) tagging for Korean is used to detect adjective as "emotional word" in Korean. In addition, the emotion words extracted from the text are converted into word vector by the Word2Vec algorithm to find related words. Among these related words, noun words are selected because each word of them would have causal relationship with "emotional word" in the sentence. The process of extracting these trigger factor of emotional word is named "Emotion Trigger" in this study. As a case study, the datasets used in the study are collected by searching using three keywords: professor, prosecutor, and doctor in that these keywords contain rich public emotion and opinion. Advanced data collecting was conducted to select secondary keywords for data gathering. The secondary keywords for each keyword used to gather the data to be used in actual analysis are followed: Professor (sexual assault, misappropriation of research money, recruitment irregularities, polifessor), Doctor (Shin hae-chul sky hospital, drinking and plastic surgery, rebate) Prosecutor (lewd behavior, sponsor). The size of the text data is about to 100,000(Professor: 25720, Doctor: 35110, Prosecutor: 43225) and the data are gathered from news, blog, and twitter to reflect various level of public emotion into text data analysis. As a visualization method, Gephi (http://gephi.github.io) was used and every program used in text processing and analysis are java coding. The contributions of this study are as follows: First, different approaches for sentiment analysis are integrated to overcome the limitations of existing approaches. Secondly, finding Emotion Trigger can detect the hidden connections to public emotion which existing method cannot detect. Finally, the approach used in this study could be generalized regardless of types of text data. The limitation of this study is that it is hard to say the word extracted by Emotion Trigger processing has significantly causal relationship with emotional word in a sentence. The future study will be conducted to clarify the causal relationship between emotional words and the words extracted by Emotion Trigger by comparing with the relationships manually tagged. Furthermore, the text data used in Emotion Trigger are twitter, so the data have a number of distinct features which we did not deal with in this study. These features will be considered in further study.

• Korean Journal of Pharmacognosy
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• v.39 no.1
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• pp.7-18
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• 2008

The chemical composition of the volatile constituents from the leaves, stems, and roots of Acanthopanax sessiliforus growing wild in Mt. Deok-Yu was determined by GC and GC-MS spectrometric analysis with the aid of NBS, Wiley Library and RI indice searches. The major constituents identified were ${\delta}-3-carene$ (7.24%), limonene (8.10%), ${\beta}-thujene$ (17.85%), trans-bicyclic hydrocarbon (13.35%) and ${\delta}-cadinene$ (4.28%) in the leaves from one year-grown plants, tricyclene (7.21%), ${\beta}-myrcene$ (7.62%), limonene (10.23%), ${\beta}-thujene$ (15.61%) and dihydroedulan I (6.12%) in the leaves from three years-grown plants, ${\delta}-3-carene$ (4.96%), limonene (5.93%), ${\beta}-phellandrene$ (17.31%) and naphthalene (7.79%) in the stems from one year-grown plants, ${\alpha}-pinene$ (5.21%), limonene (5.12%) and ${\beta}-phellandrene$ (9.82%) in the stems from three years-grown plants, ${\alpha}-pinene$ (12.73%), ${\beta}-pinene$ (11.16%), ${\delta}-3-carene$ (6.16%) and ${\gamma}-cadinene$ (23.39%) in the roots from one year-grown plants, and ${\alpha}-pinene$ (17.25%), ${\beta}-pinene$ (9.35%), ${\delta}-3-carene$ (7.26%) and ${\gamma}-cadinene$ (17.95%) in the roots from three years-grown plants.

• Korean Journal of Plant Resources
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• v.21 no.4
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• pp.237-248
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• 2008

The chemical composition of the volatile constituents from broad-leaved indeciduous trees was determined by GC and GC/MS spectrometric analysis with the aid of NBS, Wiley Library and RI indice searches. The major constituents were identified as hotrienol (9.21%) from Ligustrum japonicum flowers, undecane (32.12%) from Pittosporum tobira leaves, 1,8-cineole (45.32%) from Illicium religiosum leaves, ${\gamma}$-terpinene (15.62%) from Neolitsea aciculata leaves, 1,8-cineole (14.66%) from Cinnamomum japonicum leaves, 2-acetyl-5-methylfuran (54.51%) from Camellia sinensis leaves, and ${\gamma}$-elemene (18.59%) from Dendropanax morbifera leaves.

• Journal of Korean Medicine Rehabilitation
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• v.31 no.4
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• pp.87-103
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• 2021

Objectives The purpose of this study was to investigate the development process and describe the diagnosis methods, theories and treatments of Mongolian traditional medicine and Korean traditional medicine through literature records and prior studies. Methods Literature records and previous studies on traditional medicine of both countries were collected through various sites in Mongolia (Esan, Mongoliajol, Kok, Yumpu, Scribd, Science and Technology Foundation [STF]) and Korea (Koreanstudies Information Service System [KISS], Korea Institute of Science and Technology Information [KISTI], National Digital Science Library [NDSL], Research Information Sharing Service [RISS], Oriental Medicine Advanced Searching Integrated System [OASIS]). Also the English database was searched through PubMed. In the case of Mongolian traditional medicine, medical books published in Mongolia were mainly referenced and used for research. Results Studying the development process, basic concepts and the system of diagnosis and treatment of the two traditional medicine, several commonalities and differences were revealed. Conclusions This study showed that the scope of diagnosis methods between Mongolian and Korean traditional medicine were slightly different, and that the medical terminology for the diagnosis method had slightly different contents from each other. Although there were many similarities in treatments of Mongolian and Korean traditional medicine, the Chuna therapy is found in Korean traditional medicine only. The basic theories constituting traditional medicine were the same, but the five-element theory used by the two countries differs in the following two factors. Mongolia uses elements of air and space as the theory of five elements, while Korea uses elements of wood and iron.

• Journal of the Korean Society for information Management
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• v.32 no.1
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• pp.7-22
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• 2015

This paper describes a Web search optimization study that investigates both static and dynamic tuning methods for optimizing system performance. We extended the conventional fusion approach by introducing the "dynamic tuning" process with which to optimize the fusion formula that combines the contributions of diverse sources of evidence on the Web. By engaging in iterative dynamic tuning process, where we successively fine-tuned the fusion parameters based on the cognitive analysis of immediate system feedback, we were able to significantly increase the retrieval performance. Our results show that exploiting the richness of Web search environment by combining multiple sources of evidence is an effective strategy.