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A Clinical Research Analysis of the Korean Medicine for Peroneal Nerve Palsy (비골신경마비에 대한 국내 한의치료 임상연구 동향 분석)

  • Hong, Su Min;Lee, Eun Jung
    • Journal of Korean Medicine Rehabilitation
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    • v.29 no.3
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    • pp.61-74
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    • 2019
  • Objectives This study aimed to review clinical studies about Korean medicine used in peroneal nerve palsy. Methods In 11 online databases (Earticle, Research Information Sharing Service, Oriental Medicine Advanced Searching Integrated System, KMbase, Korean Traditional Knowledge Portal, National Digital Science Library, MEDLINE/Pubmed, Ebscohost, Cochrane CENTRAL, EMBASE, China National Knowledge Infrastructure), we searched clinical studies about Korean medicine. Among the studies that we've searched, we excluded the studies that are not related to Korean medicine, case reports, randomized controlled trials and retrospective studies. As a result, 16 case studies and 1 randomized controlled trial are included. Results Total number of patients was 123. In these studies, acupuncture (100%), herbal medicine (58.8%), pharmacopuncture (58.8%), Korean physical therapy (58.8%), moxibustion (41.1%), cupping (41.1%) etc. were used. In acupuncture, GB34 and ST36 were most frequently used. Most of the herbal medicines used in these studies were different. Range of movement were most frequently used in outcome measure. Conclusions In this study, we reviewed studies about Korean medicine used in peroneal nerve palsy. It was difficult to clearly determine which intervention has improved the symptom. In the future, Further clinical studies will be needed to retain the evidence for the treatment of peroneal nerve palsy. And also more randomized controlled clinical trials to prove the efficacy of Korean medicine will be needed.

Systematic Review on Electroacupuncture for Acute Pancreatitis (급성췌장염의 전침치료에 대한 체계적 문헌 고찰)

  • Hwang, Hyeonho;Ju, Sungmin;Jang, Insoo;Jeong, Minjeong
    • The Journal of Internal Korean Medicine
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    • v.40 no.4
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    • pp.649-662
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    • 2019
  • Objective: The purpose of this study was to investigate the effect of electroacupuncture on acute pancreatitis (AP). Method: The search engines that were used included PubMed, CNKI, OASIS, NDSL, the Korean Traditional Knowledge Portal, and J-STAGE. The search period was from the creation of the search engine to May 6, 2019; there were no language limitations. Extractions and selections from the literation were made by two authors. The study included randomized controlled trials with electroacupuncture for patients with acute pancreatitis. Cochrane's risk of bias (RoB) was used as the methodological quality assessment scale. Results: Nine studies were finally selected. It was observed that using electroacupuncture with general Western medicine treatment for AP was more effective than using only general Western medicine treatment. Although most of the studies showed a high risk of bias, there were significant differences among the indicators. Conclusion: The electroacupuncture treatment with Western medicine may be more effective in reducing symptoms of AP than Western medicine alone. However, due to the limitations of the research design, it was not enough to obtain reliable information. As a result, high quality research will be additionally required.

The Differences and Activation of Physical Activity Therapy Program in Urban-Rural Region Before and After COVID-19 - Focused on Gimcheon, Jeongeup, and Pyeongtaek - (코로나19 전후 도농지역 신체활동 치유 프로그램의 차이와 활성화 방안 연구 - 김천, 정읍, 평택 중심으로 -)

  • Park, Sang-Kyun;Tomita, Sigeru;Oh, Yoon-Ji;Kim, Dae-Sik;Lee, Wang-Lok
    • Journal of Korean Society of Rural Planning
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    • v.27 no.4
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    • pp.25-32
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    • 2021
  • This study was to analyze the Physical Activity Therapy Programs (PATPs) in U rban-rural region before and after COVID-19 in order to suggest a way of activating program. The subjects were the 43 PATPs performed in 4 Community Health Centers of Gimcheon, Jeongeup, and Pyeongtaek. The basic data was collected by official documents, expenditure budget, the homepage of the centers, national information disclosure portal, telephone interview, and e-mail with the person in charge of the programs. All the data were classified to the administrative districts, the health-related fitness variables, and the life cycles. The American College Sports Medicine Guidelines were used to evaluate the PATPs. As a results, the number of the PATPs was too small compared to the population of the regions. Also, the PATPs were not considered to the characteristics of participants such as Life-Cycle and regional facilities so on. The organization and management of the PATPs were principally deficient in improving health-related fitness variables. In 2020 as the period of COVID-19 pandemic, the number of programs and participants with face-to-face PATPs was significantlry decreased compared to 2019, while that was increased with non-face-to-face PATPs. In conclusion, PATPs should be increased and operated in accordance with scientific exercise prescription guidelines. Also, the programs should be considered with the proportion and characteristics of Life-Cycle population. Further, the various with non-face-to-face PATPs should be developed and screened with based on scientific data for post-corona virus pandemic. Further, non-face-to-face PATPs programs should include a kind of practical way to promote the individual physical activity.

Development of Demand Prediction Model for Video Contents Using Digital Big Data (디지털 빅데이터를 이용한 영상컨텐츠 수요예측모형 개발)

  • Song, Min-Gu
    • Journal of Industrial Convergence
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    • v.20 no.4
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    • pp.31-37
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    • 2022
  • Research on what factors affect the success of the movie market is very important for reducing risks in related industries and developing the movie industry. In this study, in order to find out the degree of correlation of independent variables that affect movie performance, a survey was conducted on film experts using the AHP method and the importance of each measurement factor was evaluated. In addition, we hypothesized that factors derived from big data related to search portals and SNS will affect the success of movies due to the increase in the spread and use of smart phones. And a prediction model that reflects both the expert survey information and big data mentioned above was proposed. In order to check the accuracy of the prediction of the proposed model, it was confirmed that it was improved (10.5%) compared to the existing model as a result of verification with real data.Therefore, it is judged that the proposed model will be helpful in decision-making of film production companies and distributors.

Clinical Effect of Gyeongok-go: A Systematic Review of Randomized Controlled Trials (경옥고의 임상 효능 : 체계적 고찰)

  • Kang, Heekyung;Han, Changwoo
    • The Journal of Internal Korean Medicine
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    • v.43 no.3
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    • pp.423-435
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    • 2022
  • Purpose: The purpose of this study was to confirm the clinical efficacy of Gyeongok-go. Methods: Public/Publisher MEDLINE (PubMed), Cochrane Central Register of Controlled Trials (CENTRAL), Excerpta Medica dataBASE (EMBASE), Research Information Sharing Service (RISS), ScienceON, Korean Traditional Knowledge Portal (KTKP), and China National Knowledge Infrastructure (CNKI) were searched for randomized controlled clinical trials administering Gyeongok-go as an intervention, published from inception to December 31, 2021. The risk-of-bias of the included trials was assessed with the Cochrane risk-of-bias tool for randomized trials version 2. From the experimental and control groups of the selected trials, the mean value (or rate) of each outcome was extracted and statistically compared. Results: Statistically significant mean differences were in VO2max (MD 6.82), post-exercise heart rate (MD -8.76 at 5 min, -11.58 at 30 min, -14.6 at 60 min), senescence scale (MD -6.52), Th1 cells and Th2 cells in pulmonary tuberculosis (MD 2.79 and -1.64), yin-deficient and qi-deficient score (MD -9.64 and -9.76), and phlegm-dampness score (MD 5.56). Overall risk-of-bias was 20% low risk, 80% some concerns, and 0% high risk. There were no reports of adverse events. Conclusions: Gyeongok-go is likely to have the effect of improving cardiorespiratory endurance, increasing fatigue recovery ability, reducing senescence, and enhancing immune function in tuberculosis patients. Also, it is more suitable for those who are yin-deficient or qi-deficient, and those with phlegm-dampness probably need caution.

A study on the trend of patent application and new material development by era of wigs (가발의 시대별 특허 출원 및 신소재 개발 동향에 관한 연구)

  • Lim, Sun-Nye;Park, Jang-Soon
    • Journal of Industrial Convergence
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    • v.20 no.6
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    • pp.117-123
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    • 2022
  • Appearance, which is directly related to competitiveness, has become one of the essential self-care for modern people living in the era of the 4th industrial revolution. For the purpose of producing more practical and convenient wigs for suffering customers, data of research subjects were collected through an information search portal site. The trend of new material development of leading wig companies was analyzed. As a result of the study, it was found that many applications for wig attachment and binding technology were applied before 2005, artificial hair-related manufacturing technology for wigs from 2006 to 2013, and functional-related wig technology after 2014. In addition, both H and M companies showed the development trend of new materials for shape memory materials and nanoskins with their own characteristics. We believe that this study will be provided as basic data for the development of functional wigs that can lead to customer satisfaction while providing customers with a comfortable and convenient fit in the wig industry market.

Information Service of Real-time Emergency Room Location using MongoDB (MongoDB를 활용한 실시간 응급실 위치 정보 서비스)

  • Shin, Dong-Jin;Hwang, Seung-Yeon;Jang, Seok-Woo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.6
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    • pp.63-68
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    • 2022
  • Currently, there are a total of 68 emergency rooms based on Seoul, South Korea, and there is a portal site that allows you to inquire the location of the emergency room, but it is difficult to use in an actual emergency situation because it consists of selecting a gu and a self-governing dong. In addition, it may be more efficient to go to the emergency room directly because you may miss the golden time necessary for survival in a situation where you call 119 and wait for the rescue team. Therefore, in this paper, we propose a service that can quickly search the location of the emergency room based on a specific location through various functions supported by MongoDB. After downloading emergency room location data based on Seoul Metropolitan City, storing it in MongoDB, processing the data through various processing techniques, and applying a spatial index, you can query the emergency room based on distance from a specific location in real time.

A Study on the Presidential Digital Archive Platform (대통령기록디지털아카이브 플랫폼 연구)

  • Kim, Seoyeon;Im, Seolhwa;Kim, Gyuseok;Song, Minji;Wi, Sooa;Yang, InHo
    • The Korean Journal of Archival Studies
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    • no.76
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    • pp.61-117
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    • 2023
  • This study raises the need to establish a 'Presidential Digital Archive Platform' that actively shares and opens related information and data by linking and integrating the presidential knowledge infrastructure. The Presidential Digital Archive Platform can promote the quality and value of presidential records as a "Governance Platform" where "Presidential Archives", "Presidential Archives-related Institutions" and "users" can interact through presidential records. And it will provide an opportunity to create a new paradigm. For this purpose, 'Presidential archives portal analysis' and 'Presidential Archives-related Institutions analysis' will be conducted to identify improvements and requirements when establishing the Presidential Digital Archive Platform. In addition to deriving implications through 'Digital Archive Platform case analysis' at home and abroad, measures to strengthen presidential archival reference services were discussed. Finally, based on the results, a step-by-step implementation strategy for platform construction was presented.

Prediction Model of Real Estate Transaction Price with the LSTM Model based on AI and Bigdata

  • Lee, Jeong-hyun;Kim, Hoo-bin;Shim, Gyo-eon
    • International Journal of Advanced Culture Technology
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    • v.10 no.1
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    • pp.274-283
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    • 2022
  • Korea is facing a number difficulties arising from rising housing prices. As 'housing' takes the lion's share in personal assets, many difficulties are expected to arise from fluctuating housing prices. The purpose of this study is creating housing price prediction model to prevent such risks and induce reasonable real estate purchases. This study made many attempts for understanding real estate instability and creating appropriate housing price prediction model. This study predicted and validated housing prices by using the LSTM technique - a type of Artificial Intelligence deep learning technology. LSTM is a network in which cell state and hidden state are recursively calculated in a structure which added cell state, which is conveyor belt role, to the existing RNN's hidden state. The real sale prices of apartments in autonomous districts ranging from January 2006 to December 2019 were collected through the Ministry of Land, Infrastructure, and Transport's real sale price open system and basic apartment and commercial district information were collected through the Public Data Portal and the Seoul Metropolitan City Data. The collected real sale price data were scaled based on monthly average sale price and a total of 168 data were organized by preprocessing respective data based on address. In order to predict prices, the LSTM implementation process was conducted by setting training period as 29 months (April 2015 to August 2017), validation period as 13 months (September 2017 to September 2018), and test period as 13 months (December 2018 to December 2019) according to time series data set. As a result of this study for predicting 'prices', there have been the following results. Firstly, this study obtained 76 percent of prediction similarity. We tried to design a prediction model of real estate transaction price with the LSTM Model based on AI and Bigdata. The final prediction model was created by collecting time series data, which identified the fact that 76 percent model can be made. This validated that predicting rate of return through the LSTM method can gain reliability.

Analysis of Meta Fashion Meaning Structure using Big Data: Focusing on the keywords 'Metaverse' + 'Fashion design' (빅데이터를 활용한 메타패션 의미구조 분석에 관한 연구: '메타버스' + '패션디자인' 키워드를 중심으로)

  • Ji-Yeon Kim;Shin-Young Lee
    • Fashion & Textile Research Journal
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    • v.25 no.5
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    • pp.549-559
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    • 2023
  • Along with the transition to the fourth industrial revolution, the possibility of metaverse-based innovation in the fashion field has been confirmed, and various applications are being sought. Therefore, this study performs meaning structure analysis and discusses the prospects of meta fashion using big data. From 2020 to 2022, data including the keyword "metaverse + fashion design" were collected from portal sites (Naver, Daum, and Google), and the results of keyword frequency, N-gram, and TF-IDF analyses were derived using text mining. Furthermore, network visualization and CONCOR analysis were performed using Ucinet 6 to understand the interconnected structure between keywords and their essential meanings. The results were as follows: The main keywords appeared in the following order: fashion, metaverse, design, 3D, platform, apparel, and virtual. In the N-gram analysis, the density between fashion and metaverse words was high, and in the TF-IDF analysis results, the importance of content- and technology-related words such as 3D, apparel, platform, NFT, education, AI, avatar, MCM, and meta-fashion was confirmed. Through network visualization and CONCOR analysis using Ucinet 6, three cluster results were derived from the top emerging words: "metaverse fashion design and industry," "metaverse fashion design and education," and "metaverse fashion design platform." CONCOR analysis was also used to derive differentiated analysis results for middle and lower words. The results of this study provide useful information to strengthen competitiveness in the field of metaverse fashion design.