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Occupational Therapy in Long-Term Care Insurance For the Elderly Using Text Mining (텍스트 마이닝을 활용한 노인장기요양보험에서의 작업치료: 2007-2018년)

  • Cho, Min Seok;Baek, Soon Hyung;Park, Eom-Ji;Park, Soo Hee
    • Journal of Society of Occupational Therapy for the Aged and Dementia
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    • v.12 no.2
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    • pp.67-74
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    • 2018
  • Objective : The purpose of this study is to quantitatively analyze the role of occupational therapy in long - term care insurance for the elderly using text mining, one of the big data analysis techniques. Method : For the analysis of newspaper articles, "Long - Term Care Insurance for the Elderly + Occupational Therapy for the Elderly" was collected after the period from 2007 to 208. Naver, which has a high share of the domestic search engine, utilized the database of Naver News by utilizing Textom, a web crawling tool. After collecting the article title and original text of 510 news data from the collection of the elderly long term care insurance + occupational therapy search, we analyzed the article frequency and key words by year. Result : In terms of the frequency of articles published by year, the number of articles published in 2015 and 2017 was the highest with 70 articles (13.7%), and the top 10 terms of the key word analysis showed the highest frequency of 'dementia' (344) In terms of key words, dementia, treatment, hospital, health, service, rehabilitation, facilities, institution, grade, elderly, professional, salary, industrial complex and people are related. Conclusion : In this study, it is meaningful that the textual mining technique was used to more objectively confirm the social needs and the role of the occupational therapist for the dementia and rehabilitation in the related key keywords based on the media reporting trend of the elderly long - term care insurance for 11 years. Based on the results of this study, future research should expand research field and period and supplement the research methodology through various analysis methods according to the year.

Epidural Abscess Caused by Eikenella corrodens in a Previously Healthy Child

  • Kim, Ye Kyung;Han, Mi Seon;Yang, Song I;Yun, Ki Wook;Han, Doo Hee;Kim, Jae Yoon;Choi, Eun Hwa
    • Pediatric Infection and Vaccine
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    • v.26 no.2
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    • pp.112-117
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    • 2019
  • Eikenella corrodens rarely causes invasive head and neck infections in immunocompetent children. We report a case of epidural abscess caused by E. corrodens in a previously healthy 13-year-old boy who presented with fever, headache, and vomiting. On physical examination upon admission, there was no neck stiffness, but discharge from the right ear was observed. Brain magnetic resonance imaging (MRI) revealed approximately 4.5-cm-sized epidural empyema on the right temporal lobe as well as bilateral ethmoid and sphenoid sinusitis, right mastoiditis, and right otitis media. During treatment with vancomycin and cefotaxime, purulent ear discharge aggravated, and on follow-up brain MRI, the empyema size increased to $5.6{\times}3.4cm$ with interval development of an abscess at the right sphenoid sinus. Burr hole trephination was performed, and foul-smelling pus was aspirated from the epidural abscess near the right temporal lobe. Pus culture yielded E. corrodens. Endoscopic sphenoidotomy was also performed with massive pus drainage, and the same organism was grown. The patient was treated with intravenous cefotaxime for 3 weeks and recovered well with no other complications. Therefore, E. corrodens can cause serious complications in children with untreated sinusitis.

Examining a Case Study of Participation of Science-Related Activities and Personal Characteristics of Two Primary Students on Developed Individual Interest in Science (발달된 개인적 흥미 단계의 두 초등학생들의 과학과 관련된 활동의 참여와 개인적 특성에 대한 사례 탐구)

  • Choi, Yoon-Sung
    • Journal of Science Education
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    • v.45 no.1
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    • pp.69-89
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    • 2021
  • The purpose of this study is to examine personal characteristics of two elementary students who developed individual interest in science. 201 students of two elementary schools in Seoul participated in questionnaire survey engaged in to investigate students' interest in science, engagements and preference in science-related-activities three times a year. This case study was conducted with seven students who showed typical types of interest in science. Students wrote a photo-journal for 12 weeks. They were interviewed every other week by a researcher. We analyzed two students who developed individual interest. It turns out that RF participated in doing experiments at home, and disassembling and assembling things. Participation of activities was a process of solving curiosity. When he was unable to solve problems, he searches the internet or books. Sometimes he would ask for help from his teacher. JW engaged in activities: drawing, doing experiments at home, and going to informal education center. She communicated with others by using online-offline media. Curious questions were solved by herself. The two students have a tendency to solve problems by themselves. Also, positive science-related activities were going on at home and in school. This study not only give insights and understanding of students who developed individual interest in science but also provide implication for educators to examine personal characteristics of students.

Pupil Data Measurement and Social Emotion Inference Technology by using Smart Glasses (스마트 글래스를 활용한 동공 데이터 수집과 사회 감성 추정 기술)

  • Lee, Dong Won;Mun, Sungchul;Park, Sangin;Kim, Hwan-jin;Whang, Mincheol
    • Journal of Broadcast Engineering
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    • v.25 no.6
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    • pp.973-979
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    • 2020
  • This study aims to objectively and quantitatively determine the social emotion of empathy by collecting pupillary response. 52 subjects (26 men and 26 women) voluntarily participated in the experiment. After the measurement of the reference of 30 seconds, the experiment was divided into the task of imitation and spontaneously self-expression. The two subjects were interacted through facial expressions, and the pupil images were recorded. The pupil data was processed through binarization and circular edge detection algorithm, and outlier detection and removal technique was used to reject eye-blinking. The pupil size according to the empathy was confirmed for statistical significance with test of normality and independent sample t-test. Statistical analysis results, the pupil size was significantly different between empathy (M ± SD = 0.050 ± 1.817)) and non-empathy (M ± SD = 1.659 ± 1.514) condition (t(92) = -4.629, p = 0.000). The rule of empathy according to the pupil size was defined through discriminant analysis, and the rule was verified (Estimation accuracy: 75%) new 12 subjects (6 men and 6 women, mean age ± SD = 22.84 ± 1.57 years). The method proposed in this study is non-contact camera technology and is expected to be utilized in various virtual reality with smart glasses.

Growth factors improve the proliferation of Jeju black pig muscle cells by regulating myogenic differentiation 1 and growth-related genes

  • Park, Jinryong;Lee, Jeongeun;Song, Ki-Duk;Kim, Sung-Jo;Kim, Dae Cheol;Lee, Sang Cheol;Son, Young June;Choi, Hyun Woo;Shim, Kwanseob
    • Animal Bioscience
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    • v.34 no.8
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    • pp.1392-1402
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    • 2021
  • Objective: The growth rate of pigs is related to differentiation and proliferation of muscle cells, which are regulated by growth factors and expression of growth-related genes. Thus, the objective of this study was to establish optimal culture conditions for Jeju black pig (JBP) muscle cells and determine the relationship of various factors involved in muscle growth with the proliferation of JBP muscle cells. Methods: Muscles were taken from the femur skeletal muscle of JBP embryos. After isolation of the muscle cells, cells were cultured in a 6-well plate under four different culture conditions to optimize culture conditions for JBP muscle cells. To analyze proliferation rate of JBP muscle cells, these muscle cells were seeded into 6-well plates at a density of 1.5×105 cells per well and cultured for 3 days. Western blot and quantitative real-time polymerase chain reaction were applied to verify the myogenic differentiation 1 (MyoD) expression and growth-related gene expression in JBP muscle cells, respectively. Results: We established a muscle cell line from JBP embryos and optimized its culture conditions. These muscle cells were positive for MyoD, but not for paired box 7. The proliferation rate of these muscle cells was significantly higher in a culture medium containing bFGF and epidermal growth factor + basic fibroblast growth factor (EGF+bFGF) than that without a growth factor or containing EGF alone. Treatment with EGF and bFGF significantly induced the expression of MyoD protein, an important transcription factor in muscle cells. Moreover, we checked the changes of expression of growth-related genes in JBP muscle cells by presence or absence of growth factors. Expression level of collagen type XXI alpha 1 gene was changed only when EGF and bFGF were added together to culture media for JBP muscle cells. Conclusion: Concurrent use of EGF and bFGF increased the expression of MyoD protein, thus regulating the proliferation of JBP muscle cells and the expression of growth-related genes.

Analysis of Major COVID-19 Issues Using Unstructured Big Data (비정형 빅데이터를 이용한 COVID-19 주요 이슈 분석)

  • Kim, Jinsol;Shin, Donghoon;Kim, Heewoong
    • Knowledge Management Research
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    • v.22 no.2
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    • pp.145-165
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    • 2021
  • As of late December 2019, the spread of COVID-19 pandemic began which put the entire world in panic. In order to overcome the crisis and minimize any subsequent damage, the government as well as its affiliated institutions must maximize effects of pre-existing policy support and introduce a holistic response plan that can reflect this changing situation- which is why it is crucial to analyze social topics and people's interests. This study investigates people's major thoughts, attitudes and topics surrounding COVID-19 pandemic through the use of social media and big data. In order to collect public opinion, this study segmented time period according to government countermeasures. All data were collected through NAVER blog from 31 December 2019 to 12 December 2020. This research applied TF-IDF keyword extraction and LDA topic modeling as text-mining techniques. As a result, eight major issues related to COVID-19 have been derived, and based on these keywords, this research presented policy strategies. The significance of this study is that it provides a baseline data for Korean government authorities in providing appropriate countermeasures that can satisfy needs of people in the midst of COVID-19 pandemic.

Thermal Energy Capacity of Concrete Blocks Subjected to High-Temperature Thermal Cycling (열사이클을 적용한 고온 조건 콘크리트 블록의 열용량 특성)

  • Yang, In-Hwan;Park, Ji-Hun
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.8 no.4
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    • pp.571-580
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    • 2020
  • In this study, an experimental study on storage media for thermal energy storage system was conducted. For thermal energy storage medium, concrete has excellent thermal and mechanical properties and also has various advantages due to its low cost. In addition, the ultra-high strength concrete reinforced by steel fibers exhibits excellent durability against exposure to high temperatures due to its high toughness and high strength characteristics. Moreover, the high thermal conductivity of steel fibers has an advantageous effect on heat storage and heat dissipation. Therefore, to investigate the temperature distribution characteristics of ultra-high-strength concrete, concrete blocks were fabricated and a heating test was performed by applying high-temperature thermal cycles. The heat transfer pipe was buried in the center of the concrete block for heat transfer by heat fluid flow. In order to explore the temperature distribution characteristics according to different shapes of the heat transfer pipe, a round pipe and a longitudinal fin pipe were used. The temperature distribution at the differnent thermal cycles were analyzed, and the thermal energy and the cumulated thermal energy over time were calculated and analyzed for comparison based on test results.

A Study on the Space Innovation of Public Libraries Belonging to Chungcheongnam-do Office of Education (충남교육청 소속 공공도서관의 공간혁신에 관한 연구)

  • Lim, Jeong-Hoon;Oh, Hyoung-Seok;Lee, Byeong-Ki
    • Journal of Korean Library and Information Science Society
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    • v.52 no.4
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    • pp.103-126
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    • 2021
  • This study aims to propose a plan to restructure libraries as a complex space for education and culture for 19 public libraries belonging to the Chungcheongnam-do Office of Education. For the purpose of this, case surveys and user surveys of complex facilities of domestic and foreign public institutions were conducted. Based on the findings, a space restructuring strategy was suggested by dividing the library space into the following ways: a space to learn (a comprehensive data room, a theme data inquiry room, a future classroom, a blended learning center, a STEAM training room, and an online lecture learning room), a space to express (a foyer, a maker room, a digital media creation room and an online lecture production room), a space to share (a club room, a group study room, a well-being complex culture space, a convenient living space, rest area, and a browsing area), and a space to enjoy (a performance-thought playground, infant and child archives, a digital virtual experience room, a specialized alcove room, and an outdoor reading room). In addition, a restructuring model of public libraries belonging to the Office of Education was proposed, such as a leading model, a basic model, a joint model, and a minimum model, in consideration of the size of the building, the size of the library, and the level of service and space.

Analysis of news bigdata on 'Gather Town' using the Bigkinds system

  • Choi, Sui
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.53-61
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    • 2022
  • Recent years have drawn a great attention to generation MZ and Metaverse, due to 4th industrial revolution and the development of digital environment that blurs the boundary between reality and virtual reality. Generation MZ approaches the information very differently from the existing generations and uses distinguished communication methods. In terms of learning, they have different motivations, types, skills and build relationships differently. Meanwhile, Metaverse is drawing a great attention as a teaching method that fits traits of gen MZ. Thus, the current research aimed to investigate how to increase the use of Metaverse in Educational Technology. Specifically, this research examined the antecedents of popularity of Gather Town, a platform of Metaverse. Big data of news articles have been collected and analyzed using the Bigkinds system provided by Korea Press Foundation. The analysis revealed, first, a rapid increasing trend of media exposure of Gather Town since July 2021. This suggests a greater utilization of Gather Town in the field of education after the COVID-19 pandemic. Second, Word Association Analysis and Word Cloud Analysis showed high weights on education related words such as 'remote', 'university', and 'freshman', while words like 'Metaverse', 'Metaverse platform', 'Covid19', and 'Avatar' were also emphasized. Third, Network Analysis extracted 'COVID19', 'Avatar', 'University student', 'career', 'YouTube' as keywords. The findings also suggest potential value of Gather Town as an educational tool under COVID19 pandemic. Therefore, this research will contribute to the application and utilization of Gather Town in the field of education.

An Exploratory Study on the Authenticity Discourse Strategies of Popular Music Audition Programs - Focused on - (대중음악 오디션 프로그램의 진정성 담론 전략에 관한 탐색적 연구 - <미스터트롯>을 중심으로 -)

  • Lie, Jae-Won;Kim, Won-Gyum
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.6
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    • pp.1-13
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    • 2021
  • This study explored the mechanism by which Trot gained a superior position in the broadcasting contents market after the TV Chosun audition program was broadcast. We analyzed the narrative structure of the program to determine what differentiation and popularization strategy the trot audition program took from the existing audition program, and analyzed in-depth interviews with music experts and interviews with the production team. appealed to viewers with a strategy that reversed the success strategy of existing audition programs. First, the strong/non-competent participants did not compete with each other, but rather the strong/skilled players competed against each other. This trot audition set the singing ability as a new 'discourse on sincerity'. Second, we broke away from the 'demon editing', which was considered essential for audition programs, took a strategy of excluding villains. Third, we broke the practice of audition programs that were supposed to show expertise in specific genres, such as idol music, hip-hop, and bands, and combined trot with various genres. Fourth, unlike previous audition programs that mainly targeted specific generations or genders, the strategy was to expand the audience by targeting various age groups. Fifth, it has formed a middle-aged fandom with a 'subtitle strategy' that uses subtitles well to arouse viewers' interest and help empathize.