• Title/Summary/Keyword: Reading of Man

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Survery on Business of the Departments of Radiology in Health Centers (보건소(保健所)의 방사선과(放射線科) 업무(業務)에 관한 조사연구(調査硏究))

  • Choi, Jong-Hak;Jeon, Man-Jin;Huh, Joon;Park, Sung-Ock
    • Journal of radiological science and technology
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    • v.8 no.2
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    • pp.21-28
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    • 1985
  • We serveyed the actual condition of business of the departments of radiology of 45 health conters (except 3) in the area of Seoul, Kyungki and Inchon from March, 1984 to November, 1984. The results are summarized as follows : 1. T.O. of the radiologic technologist is three persons in each health center of Seoul area, and one person in each one of Kyungki and Inchon area. P.O. is 2-5 persons in Seoul area, 1-2 persons in Kyungki or Inchon area. 2. The number of all the radiologic technologists employed now is 75 persons, and among all of them, when analized by position class 7th is 54.7%, class 8th 28.0%, class 9th is 13.3%, and class 6th is 2.7%, and by sex, female is 68.0%, male is 32.0%, by educational background, for the most part, junior college graduates come to 73.3%, by age group 60% of them is in their twenties, 16.0% is in their thirties and forties, 8.0% is in their fifties, and by career after certificate 60% have the career of 1-5 years, 13.3% have the one of 6-7 years or mor than 21 years, and 6.7% have the one of 11-15 years of 16-20 years. 3. All the diagnostic x-ray equipment being kept is 62, and among them flxing equipment is 71.0%, portable equipment is 29.0% and by rating of X-ray equipment, maximum tube current 100 mA is 46.8%, maximum KV 100KVP is 72.6%, the most part. 4. Photofluorographic camera and hood are equipped in every health center. While, as to the radiographic cassettes, $14{\times}14"$ cassetts are equipped in every health center, but cassettes of other sizes are in half of them. 5. Bucky's table is equipped in 11.9% health centers, the automatic processor is in 21.4%, the photofluorographic film changer is 9.5%, the grid is 73.8%, the protective apron is in 88.1%, and the protective glove is in 57.1% health centers. 6. The number of the people who got the x-ray examination for one year (by the year 1989) is the most, 1,000-6,000 in direct radiography of the chest, or 15,0001-45,000 in the health centers of Seoul area, 5,000-20,000 in Kyungki and Inchon area in photofluorography of the chest. Moreover, other radiographies are being taken extremely limitedly in all health centers. 7. In processing types of x-ray film, automatic processing is used in 9 health centers (21.4%), manual tank processing is in 30 (71.4%), and manual tray processing in 3 (7.2%). 8. As for collimation of x-ray exposure field, "continual using restricted by a subject size" has the most part, 78.6% "restricted using at every radiography" has 19%, and the case of "never considered" has 2.4% response. 9. As for the dosimeter used for radiation control, film badge (35.7%) and pocket dosimeter (26.2%) are used, and in 38.1% health centers the dosimeter is not equipped at all. Consideration of the previous radiation exposure is being done in only one health center. 10. Reading of radiographs is mainly depended on the radiologists electively (45.2%) or on the genral practitioners(45.2%).

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Bakhtinian Reading of the Su-Hyeon Kim's Lines 1 Focused on Bakhtinian Dialogism Theory (김수현 대사의 바흐찐적 독해 1 바흐찐의 대화주의 이론을 중심으로)

  • Yoo, Jin-Hee
    • The Journal of the Korea Contents Association
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    • v.16 no.10
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    • pp.573-587
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    • 2016
  • This study is the one of the first full-scale subsequent research of a TV drama writer who has been out of scholarly pursuits. Along with the 5 advanced research, this study is to analyze Su-Hyeon Kim's difference and her underlying consciousness by applying the Bahktin's dialogism to the author's creating lines instead of existing speech research. Bahktin's dialogism, its core of polyphony, presents a definite purpose to a artistic creation of language. That is to require the author to have 'outsideness' 'boundary carried over' and 'excess of seeing' in a author relation with characters as it leads the characters to 'the whole'. It means an equal relations of mutual independency between the author and the characters. Also this relations accompany by 'unfinalizability of dialogue'. This study ascertains whether the dialogism actually being realized or not in her lines of of her early stage, of melodrama, and of home-drama. The result of this study shows that the she creates 'polyphony', diverse voices of characters, with her mutual independent relations with characters, that is the voices of between characters, between characters' inside. This research also shows that she realizes 'unfinalizability of dialogue' in her drama work itself of open-end as well as in her lines. She has her own consistent distinction of creating lines to be a her drama work itself, that also means to explore language of human beings's existence, and language of perception, instead of using it as a simple tool of making a drama. This study is to explore a subsequent research of the author's lines with another Bahktin's carnivalesque as the lines's importance and the theory's vastness.

The Effects of A Cognitive-Behavioral Anger Control Training on Anger Control Ability and Peer Relationships of Children (인지행동적 분노조절 훈련이 아동의 분노조절능력과 교우관계에 미치는 효과)

  • Kim, Mi-Ra;Lee, Young-Man
    • The Korean Journal of Elementary Counseling
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    • v.7 no.2
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    • pp.101-115
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    • 2008
  • The purposes of this study were to consist an anger control program in order to help children confirm and modify their cognitive errors in peer anger-provoking situations(Lee Mi-gyeong, 2006), that and to examine the effects of this program on anger-provoking experience, anger controllability and peer relationship. The cognitive-behavioral anger control program was consisted of 16 sessions. The focus of the program were placed on perceiving angry feelings, confirming automatic thinking and cognitive errors and acquiring how to correct the cognitive errors(1st-10th sessions), and checking cognitive errors in 13 anger-provoking situations and practicing way to correct the errors(11th-15th sessions). To examine the effects of the program, 10 children who had a lot of anger-provoking experiences, and were poor at anger control and faced difficulties with peer relationship were selected. The cognitive-behavioral anger control program was implemented for eight weeks, twice a week, 40 minutes each. The collected data were analysed by the ANOVA method using the SPSS and Kwakstat(Kwak Ho-wan, 1993). What cognitive errors children made and how they modified the errors during the program were checked. The findings of the study were as follows: The cognitive-behavioral anger control program served to cut down on the anger-provoking experiences, to improve their anger controllability, to boost their peer relationship, and that effect lasted till six weeks later. And the cognitive errors they made during the program were in the order as follows: stating the oughtness of their behavior, followed by naming, seeing everything in black and white, emotional judgment, mind reading, linking the situation to themselves, overgeneralizing, and hasty conclusion. The ways to correct the cognitive errors were in the order as follows: putting oneself in another's place, explaining in a different manner, looking for proof, thinking of it is so difficult to indure, thinging of there is moral to it, and thinking of how angry after passing time.

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A Study on the Development Direction of Medical Image Information System Using Big Data and AI (빅데이터와 AI를 활용한 의료영상 정보 시스템 발전 방향에 대한 연구)

  • Yoo, Se Jong;Han, Seong Soo;Jeon, Mi-Hyang;Han, Man Seok
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.9
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    • pp.317-322
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    • 2022
  • The rapid development of information technology is also bringing about many changes in the medical environment. In particular, it is leading the rapid change of medical image information systems using big data and artificial intelligence (AI). The prescription delivery system (OCS), which consists of an electronic medical record (EMR) and a medical image storage and transmission system (PACS), has rapidly changed the medical environment from analog to digital. When combined with multiple solutions, PACS represents a new direction for advancement in security, interoperability, efficiency and automation. Among them, the combination with artificial intelligence (AI) using big data that can improve the quality of images is actively progressing. In particular, AI PACS, a system that can assist in reading medical images using deep learning technology, was developed in cooperation with universities and industries and is being used in hospitals. As such, in line with the rapid changes in the medical image information system in the medical environment, structural changes in the medical market and changes in medical policies to cope with them are also necessary. On the other hand, medical image information is based on a digital medical image transmission device (DICOM) format method, and is divided into a tomographic volume image, a volume image, and a cross-sectional image, a two-dimensional image, according to a generation method. In addition, recently, many medical institutions are rushing to introduce the next-generation integrated medical information system by promoting smart hospital services. The next-generation integrated medical information system is built as a solution that integrates EMR, electronic consent, big data, AI, precision medicine, and interworking with external institutions. It aims to realize research. Korea's medical image information system is at a world-class level thanks to advanced IT technology and government policies. In particular, the PACS solution is the only field exporting medical information technology to the world. In this study, along with the analysis of the medical image information system using big data, the current trend was grasped based on the historical background of the introduction of the medical image information system in Korea, and the future development direction was predicted. In the future, based on DICOM big data accumulated over 20 years, we plan to conduct research that can increase the image read rate by using AI and deep learning algorithms.