• Title/Summary/Keyword: Future Library

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A Systematic Review on Oral Health Care Programs for the Elderly in Korea (2009~2020)

  • Choi, Eun-Seo;Jung, Im-Hee;Kim, Do-Ah;Lee, Eun-Som;Lim, Hee-Jung
    • Journal of dental hygiene science
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    • v.21 no.4
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    • pp.199-212
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    • 2021
  • Background: Various oral health management programs in Korea affect the oral health improvement in the elderly Several studies have been conducted to date; however, those studies have not shown uniform results due to the differences in research methods or designs. Hence, this study aimed to review the overall research trends of the reported oral health care programs for the elderly in Korea, verify their effects, and clarify them based on the systematic literature review. Methods: The literature search selected intervention studies that applied the oral health care program for the elderly in Korea from 2001 to 2020. Following the COre, Standard, and Ideal (COSI) models presented by the US National Library of Medicine, we selected databases including Korean studies Information Service System (KISS), ScienceOn, Research Information Sharing Service (RISS), DBpia, PubMed, and Google Scholar. Of the 1,335 studies searched using keywords, titles, and abstracts, 21 were finally selected based on primary and secondary exclusion criteria. Results: The most frequent intervention period was 4 weeks, and the number of interventions varied between 2 and 90 times. As for the type of intervention, 14 studies that conducted both theory and practice were the most frequent. Significant differences in the clinical indicators, such as calculus, halitosis, salivation rate, swallowing function, and dry mouth, were found in most oral health care programs. Conclusion: Based on the results of this study, the intervention program needs further verification using multiple indicators in future studies. In addition, a study extending the intervention period and the number of samples is considered necessary for verifying continuous effectiveness of the intervention program.

Automated infographic recommendation system based on machine learning (기계학습 기반의 인포그래픽 자동 추천 시스템)

  • Kim, Hyeong-Gyun;Lee, Sang-hee
    • Journal of Digital Convergence
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    • v.19 no.11
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    • pp.17-22
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    • 2021
  • In this paper, a machine learning-based automatic infographic recommendation system is proposed to improve the existing infographic production method. This system consists of a part that machine learning multiple infographic images and a part that automatically recommends infographics with artificial intelligence only by inputting basic data from the user. The recommended infographics are provided in the form of a library, and additional data can be input by drag & drop method. In addition, the infographic image is designed to be dynamically adjusted according to the size of the input data. As a result of analyzing the machine learning-based automatic infographic recommendation process, the matching success rate for layout and keyword was very high, and the matching success rate for type was rather low. In the future, a study to improve the matching success rate for the image type for each part of the infographic will be needed.

The Implications of Current Practices Relating to the Sharing, Reuse, and Citation of Research Software for the Future of Research (연구소프트웨어의 공유, 재사용 및 인용과 관련된 현재 관행의 의미)

  • Park, Hyoungjoo;Wolfram, Dietmar
    • Journal of the Korean Society for information Management
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    • v.38 no.4
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    • pp.65-82
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    • 2021
  • The purpose of this research is to explore the phenomenon of the sharing, reuse, and citation of research software. These practices are playing an increasingly important role in scholarly communication. The researchers found that the citation and reuse of research software are currently uncommon or at least not reflected in the Data Citation Index (DCI). Such citation was observed, however, for the newer software in a number of prominent repositories. The repositories Comprehensive R Archive Network (CRAN) and Zenodo received the most formal software citations. The researchers observed both formal and informal forms of citation when researchers reused software. The latter form involves mentioning research software in passing in the main text of articles, while formal citations appear in the references section. In addition, our comparative analysis helps to explain the phenomenon of self-citation of research software.

Acupuncture Treatment for Patellofemoral Pain Syndrome: A Protocol for a Systematic Review (슬개대퇴통증증후군의 침 치료에 대한 체계적 문헌고찰의 프로토콜)

  • Ji, Min Jun;Ser, Kyung Jun;Kim, Ho Geol;Gu, Ji Hyang;Ha, Hyun Ju;Oh, Min Seok
    • Journal of Korean Medicine Rehabilitation
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    • v.32 no.3
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    • pp.29-35
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    • 2022
  • Objectives The purpose of this systematic review is to analyse randomized controlled trials about acupuncture for patellofemoral pain syndrome (PFPS) and evaluate it's pain improvement effect. Methods Studies will be searched from ten databases (Medline/PubMed, Cochrane Library, EMBASE, China National Knowledge Infrastructure [CNKI], WanFang Data, Citation Information by NII [CiNII], ScienceON, Koreanstudies Information Service System [KISS], KMBASE, and KoreaMed). Participants will be patients diagnosed with PFPS, regardless of cause, gender, age or race, and interventions will be acupuncture, electroacupuncture, dry needling, fire needle, and acupotomy. Other treatments than interventions will be the control group and the main outcome will be reviewed by visual analogue scale (VAS). Results Data will be extracted and assessed according to the Preferred Reporting Items for Systematic Review and Meta-Analysis flow chart and Cochrane risk of bias tools. Meta-analysis will be conducted using random effect model within 95% confidence interval. Conclusions We expect this systematic review to provide useful data about the pain improvements of patellofemoral pain using acupuncture and expect to stimulate and systematize acupuncture treatment on PFPS in the future.

Heart Rate Variability (HRV) Characteristics of Patients with Primary Dysmenorrhea at the Menstrual Phase: A Literature Review and Meta-Analysis (원발성 월경통 환자의 월경기 HRV 특성에 대한 문헌고찰 및 메타분석)

  • Cho, Si-Yoon;Lee, Ji-Yeon
    • The Journal of Korean Obstetrics and Gynecology
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    • v.35 no.3
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    • pp.122-136
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    • 2022
  • Objectives: The aim of this study is to investigate Heart Rate Variability (HRV) characteristics of patients with primary dysmenorrhea at the menstrual phase. Methods: 7 databases (Pubmed, Cochrane library, CNKI, RISS, KISS, OASIS, ScienceON) were searched for eligible studies published before 2021 December. The studies comparing HRV between patients with primary dysmenorrhea and controls were included. A random-effects model was used to evaluate differences of HRV parameters between patients with primary dysmenorrhea and controls. Results: 4 articles were included in this review based on inclusion and exclusion criteria. SDNN (Standard deviation of NN intervals), RMSSD (Square root of the mean squared difference of successive NN intervals), mean PR (Mean of pulse rate), LF (Low frequency), HF (High frequency), was the most frequently used as HRV parameters. RMSSD was significantly lower in patients with primary dysmenorrhea than controls. There was no statistically significant difference of other HRV parameters between patients with primary dysmenorrhea and controls. Conclusions: This study suggests that parasympathetic activity and overall functions of autonomic nervous system might be decreased in patients with primary dysmenorrhea at the menstrual phase. In the future, well-designed clinical studies using HRV and additional meta-analysis should be conducted to obtain a wealth of information about HRV characteristics of patients with primary dysmenorrhea.

The effects of maternal-child nursing clinical practicum using virtual reality on nursing students' competencies: a systematic review (가상현실을 이용한 모아간호 실습교육이 간호 대학생의 실습역량에 미치는 영향: 체계적 문헌고찰)

  • Hwang, Sungwoo;Kim, Hyun Kyoung
    • Women's Health Nursing
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    • v.28 no.3
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    • pp.174-186
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    • 2022
  • Purpose: This study aimed to investigate the effects of virtual reality used in maternal-child nursing clinical practicums on nursing students' competencies through a systematic review. Methods: The inclusion criteria were peer-reviewed papers in English or Korean presenting analytic studies of maternal-child nursing practicums using virtual reality. An electronic literature search of the Cochrane Library, CINAHL, EMBASE, ERIC, PubMed, and Research Information Sharing System databases was performed using combinations of the keywords "nursing student," "virtual reality," "augmented reality," "mixed reality," and "virtual simulation" from February 4 to 15, 2022. Quality appraisal was performed using the RoB 2 and ROBINS-I tools for randomized controlled trials (RCTs) and non-RCTs, respectively. Results: Of the seven articles identified, the RCT study (n=1) was deemed to have a high risk of bias, with some items indeterminable due to a lack of reported details. Most of the non-RCT studies (n=6) had a moderate or serious risk of bias related to selection and measurement issues. Clinical education using virtual reality had positive effects on knowledge, skills, satisfaction, self-efficacy, and needs improvement; however, it did not affect critical thinking or self-directed learning. Conclusion: This study demonstrated that using virtual reality for maternal-child nursing clinical practicums had educational effects on a variety of students' competencies. Considering the challenges of providing direct care in clinical practicums, virtual reality can be a viable tool that supplements maternal-child nursing experience. Greater rigor and fuller reporting of study details are required for future research.

Design of Mobile Application for Learning Chemistry using Augmented Reality

  • Kim, Jin-Woong;Hur, Jee-Sic;Ha, Min Woo;Kim, Soo Kyun
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.9
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    • pp.139-147
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    • 2022
  • The goal of this study is to develop a mobile application so that a person who is new to chemistry can easily acquire the knowledge necessary for chemical structure learning using image tracking technology. The point of this study is to provide a new chemical structure learning experience by recognizing a two-dimensional picture, augmenting the chemical structure into a three-dimensional object, showing it on the user's screen, and using a service that simultaneously provides related information in multiple fields. characteristic. Login API and real-time database technology were used for safe and real-time data management, and an application was developed using image tracking technology for image recognition and 3D object augmentation service. In the future, we plan to use the chemical structure data library to efficiently load and output data.

Identification of User Preference Factor Using Review Information (리뷰 정보를 활용한 이용자의 선호요인 식별에 관한 연구)

  • Song, Sungjeon;Shim, Jiyoung
    • Journal of the Korean Society for information Management
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    • v.39 no.3
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    • pp.311-336
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    • 2022
  • This study analyzed the contents of Goodreads review data, which is a social cataloging service with the participation of book users around the world, to identify the preference factors that affect book users' book recommendations in the library information service environment. To understand user preferences from a more detailed point of view, sub-datasets for each rating group, each book, and each user were constructed in the sample selection process. Stratified sampling was also performed based on the result of topic modeling of review text data to include various topics. As a result, a total of 90 preference factors belonging to 7 categories('Content', 'Character', 'Writing', 'Reading', 'Author', 'Story', 'Form') were identified. Also, the general preference factors revealed according to the ratings, as well as the patterns of preference factors revealed in books and users with clear likes and dislikes were identified. The results of this study are expected to contribute to more sophisticated recommendations in future recommendation systems by identifying specific aspects of user preference factors.

Bi-directional Maximal Matching Algorithm to Segment Khmer Words in Sentence

  • Mao, Makara;Peng, Sony;Yang, Yixuan;Park, Doo-Soon
    • Journal of Information Processing Systems
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    • v.18 no.4
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    • pp.549-561
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    • 2022
  • In the Khmer writing system, the Khmer script is the official letter of Cambodia, written from left to right without a space separator; it is complicated and requires more analysis studies. Without clear standard guidelines, a space separator in the Khmer language is used inconsistently and informally to separate words in sentences. Therefore, a segmented method should be discussed with the combination of the future Khmer natural language processing (NLP) to define the appropriate rule for Khmer sentences. The critical process in NLP with the capability of extensive data language analysis necessitates applying in this scenario. One of the essential components in Khmer language processing is how to split the word into a series of sentences and count the words used in the sentences. Currently, Microsoft Word cannot count Khmer words correctly. So, this study presents a systematic library to segment Khmer phrases using the bi-directional maximal matching (BiMM) method to address these problematic constraints. In the BiMM algorithm, the paper focuses on the Bidirectional implementation of forward maximal matching (FMM) and backward maximal matching (BMM) to improve word segmentation accuracy. A digital or prefix tree of data structure algorithm, also known as a trie, enhances the segmentation accuracy procedure by finding the children of each word parent node. The accuracy of BiMM is higher than using FMM or BMM independently; moreover, the proposed approach improves dictionary structures and reduces the number of errors. The result of this study can reduce the error by 8.57% compared to FMM and BFF algorithms with 94,807 Khmer words.

Literature Review and Applicability of Extracorporeal Shock Wave with Meridian and Acupoint Theory (경혈 경락 이론에 근거하여 사용된 체외 충격파 문헌 검색 및 활용 가능성 연구)

  • Jong-Hyeog, Jeong;Yoon-A, Kim;Sang-Hyun, Lee;Byung-Jun, Kim;Eui-Hyoung, Hwang
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.36 no.6
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    • pp.213-220
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    • 2022
  • We investigated the current status of research using extracorporeal shock waves on the basis of meridian and acupoint theory. By March 2022, five foreign databases (CAJ, Pubmed, Web of Science, EMBASE, Cochrane Library) and six Korean databases (Dbpia, RISS, KMBASE, scienceON, KISS, NDSL) were searched with the terms using 'Extracorporeal shock wave' and '(Acupoint or Acupuncture point)'. The search terms were adapted according to the language of the database. There were no restrictions on the study design. As a result of the search, twenty-seven papers were selected for analysis. One study was searched in English database, and the remaining twenty-six studies were searched in Chinese database. There were nineteen pain-related diseases, four obsterics and gynecology diseases, two bone-related diseases, and two other diseases. The most frequently used acupoints were GB34, ST36, and KI3. A total of six adverse events were reported in five papers. The use of extracorporeal shock wave on the basis of meridian and acupoint theory is considered to have sufficient meaning in Korean Medicine. It is expected to use extracorporeal shock wave as a new treatment method for Korean Medicine doctors in the near future.