• Journal of Korean Medical classics
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• v.31 no.3
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• pp.99-107
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• 2018

Objectives: This article aims to clarify the understanding and publication status of both The Treasured Mirror of Eastern Medicine (Donguibogam) and some of its recent research progress made in North Korea, as well as their influences upon the academic of Koryo medicine in North Korea. Methods: Analysis was carried out based on various reference books, dictionaries and Korean translation of Donguibogam (1964 Ver.) published by North Korea, as well as the North Korean quarterly medical journal, Koryo Medicine. Results: The academic of Koryo medicine in North Korea regards Donguibogam, a Korean medical classic as it was written by native Korean physicians and it became an important ground material for basic research and clinical study. Various terminologies used in the original version of Donguibogam were defined as unscientific and superstitious by North Korean academics, which were then subsequently removed from the Korean translation of Donguibogam (1964 Ver.) published by North Korea. Therefore, this version cannot be seen as a complete edition of Donguibogam. Conclusions: The Donguibogam is known as one of the 'three major books of Koryo medicine' in North Korea. As a treasure of East-Asian traditional medical classic, Donguibogam is expected to become the medium for a closer research collaboration between the North and South Koreas including China in the future.

• Journal of the Korea Society of Computer and Information
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• v.6 no.4
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• pp.6-11
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• 2001

After automatic translation system for hangul's romanization based on the World Wide Web converting korean-word. sentence, document to Transliteration letters by applying algorithm based phonological principles. even though a user do not know the basic principles of the usage of Korean-to-Romanization notations. It refers to corresponding character table that has been currently adopted the authority's standard proposition for Korean-to-Romanization notation rule concurrently, add to make possible to convert a machinized code as well. It Provides font for toggling Korean-English mode, insert-edit mode by assigning ASCII codes are hardly used to them. This program could be made in C++ programming language and Unified Modeling Language to implement various font. font-expanding and condensing, alternative printing.

• Journal of the Optical Society of Korea
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• v.16 no.4
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• pp.372-380
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• 2012

The optical method Digital Speckle Correlation Measurement (DSCM) has been extensively applied due its capability to measure the entire displacement field over a body surface. A formula of displacement measurement errors by the gradient-based DSCM method was derived. The errors were found to explicitly relate to the image grayscale errors consisting of sub-pixel interpolation algorithm errors, image noise, and subset deformation mismatch at each point of the subset. A power-law dependence of the standard deviation of displacement measurement errors on the subset size was established when the subset deformation was rigid body translation and random image noise was dominant and it was confirmed by both the numerical and experimental results. In a gradient-based algorithm the basic assumption is rigid body translation of the interrogated subsets, however, this is in contradiction to the real circumstances where strains exist. Numerical and experimental results also indicated that, subset shape function mismatch was dominant when the order of the assumed subset shape function was lower than that of the actual subset deformation field and the power-law dependence clearly broke down. The power-law relationship further leads to a simple criterion for choosing a suitable subset size, image quality, sub-pixel algorithm, and subset shape function for DSCM.

• Journal of muscle and joint health
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• v.28 no.3
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• pp.252-262
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• 2021

Purpose: To define the concept of digital health literacy and identify its attributes. Methods: Walker and Avant's approach was employed for concept analysis. Attributes, antecedents, consequences, and the definition of digital health literacy were derived from a review of 28 studies. Results: Digital health literacy was identified to possess the following five attributes: health information seeking, health information processing, health information communication, health-related knowledge translation, and utilizing digital technology. Basic literacy skills, health concerns, motivation to use technology for health information, and access to digital technologies were all antecedents of the concept. The consequences of the concept were health behaviors, patient engagement, health status, and quality of life. Digital health literacy is the ability to seek relevant health information utilizing digital technology to solve health problems and improve quality of life. Furthermore, it refers to the translation of health-related knowledge obtained through health information processing-finding, understanding, and evaluating health information and health information communication-into the context in which individual and social factors interact. Conclusion: This study presented a new definition of digital health literacy that goes beyond existing internet-based eHealth literacy, by incorporating the context of emerging digital technologies. This proposed definition can serve as a foundation for the development of instruments and educational programs to improve individuals' digital health literacy.

• The Korean Journal of Mycology
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• v.40 no.4
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• pp.288-291
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• 2012

Korean oak wilt disease caused by Raffaelea quercus-mongolicae is vectored by the ambrosia beetle Platypus koryoensis. To prevent the spread of the disease, the beetle infested oak tree had been cut into logs, covered with plastic vinyl, fumigated with a pesticide, and stored for three years on the site where the tree was cut. This study was carried out to get information on the fungi colonizing the fumigated oak wood. Wood disk samples collected from the fumigated oak logs at two locations in the Taejo Mountain, Cheonan city, were used for fungal isolation. A total of 99 filamentous fungal isolates were obtained from the wood disk samples. Hypocrea spp., Trichoderma spp. and Penicillium spp. were identified based on morphological characteristics and nucleotide sequence analysis of translation elongation factor 1-alpha gene and ITS rDNA region. Trichoderma was the major fungal group. R. quercus-mongolicae, and P. koryoensis were not detected from the fumigated oak wood. Our work provided evidence that after three years of storage, the fumigated oak wilt-diseased logs should be no longer harmful source of oak wilt disease transmission.

• Journal of Korean Academy of Nursing Administration
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• v.8 no.4
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• pp.655-667
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• 2002

Purpose : This study analysis of nursing interventions and core nursing interventions performed orthopedic surgery care unit. Method : The data were collected from 55 nurses of 4 general hospital from July. 10, 2002 to Aug. 30, 2002. The instrument for this study was the Korean translation of 486 nursing intervention classifications developed by McColskey & Bulechek in 2000. In the 486 nursing interventions 350 nursing interventions were selected 8 among the 10 more than 5 years working group in orthopedic surgery care unit. Self frequency checking performed by 350 nursing interventions were used secondary questionnaire In the orthopedic surgery care unit nurses. Results : 1. The most frequently used nursing interventions domains were "Physiological : basic" and then "Physiological: complex", "Health system" "Behavior", "Family", "Safety". 2. Orthopedic surgery care unit core nursing interventions were performed several times a day by 50% or more of orthopedic surgery care unit and this result were 4 of domain, 11 of class, 26 core nursing interventions. This core nursing interventions were 5 of "Physiological : basic", 17 of "Physiological: complex", 1 of "Safety", 3 of "Health system" and have no "Behavior", "Family". Conclusion : This study analyzed nursing intervention of orthopedics and reestablished nursing intervention concept and I hope this study will be helpful for the nurse to be a professional by applying this to actual clinic, for development in qualified nursing and for establishment nursing information system.

• Journal of Korean Academy of Nursing
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• v.29 no.2
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• pp.346-360
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• 1999

The purpose of this research was to identify nursing interventions performed by hospital nurses in Korea. The sample consisted of 311 nurses working in three hospitals. The Nursing Interventions Use Questionnaire developed by the Iowa Intervention Project team was used for data collection. The instrument was translated to Korean using the method of back-translation. Eighteen interventions were performed at least daily. Interventions in the Physiological : Basic domain were most frequently used at least daily. No interventions in the Family and Behavioral domains were used by nurses at least once a day. The most frequently used interventions was Documentation, followed by the interventions Medication : Parenteral, Intravenous(IV) Insertion, Temperature Control, and Shift Report. The intervention performed least often was Reproductive Technology Management. Nurses working in intensive care units on the whole performed interventions most often, while nurses working in obstetric, gynecological, and pediatric units performed them least often. The nurses working in intensive care unit, medical and surgical care units performed the interventions in the Physiological : Basic domain more often than the nurses working in obstetric, gynecological, and pediatric units. The nurses working in obstetric, gynecological, and pediatric units used the interventions in the Family domain more often than the nurses working in the other three units. This study contributes to the documentation of nursrs' work in Korea. Further study will be needed to validate nursing activities of each NIC intervention.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.48 no.7
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• pp.17-27
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• 2011

In recent years, the interest and research for Future Internet are rapidly increasing. In domestic, MOFI (Mobile Oriented Future Internet) is proposed as one architecture of Future Internet. MOFI is a data transmission architecture which provides a mobility, name-based communication and routing scalability. In this paper we implement a basic MOFI testbed that supports HID-based communication, and verify the feasibility of HID-based communication through experimentation of general service such as PING and WWW service. We used "VirtualBox" as a virtual machine and implement a packet processing and a HCP header addition and translation function using "Click Modular Router".

• Journal of Ginseng Research
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• v.47 no.3
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• pp.353-358
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• 2023

Sepsis and septic shock affect millions of people worldwide each year with high clinical mortality rates. At present, basic research on sepsis has emerged in an endless stream, but there are few effective clinical translation results. Ginseng, a medicinal and edible representative of Araliaceae plants, contains a variety of biologically active compounds including ginsenosides, alkaloids, glycosides, polysaccharides, and polypeptides. Neuromodulation, anticancer activity, blood lipid regulation, and antithrombotic activity have been linked to ginseng treatment. At present, basic and clinical research have suggested various applications of ginseng in sepsis. In view of the different effects of various ginseng components on the pathogenesis of sepsis, and in order to further understand and develop the possible value of ginseng in sepsis, this manuscript reviews the application of various components of ginseng in the treatment of sepsis in recent years.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.167-174
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• 2023

This paper attempted to improve the accuracy of the colorectal cancer diagnosis model using image data augmentation in convolutional neural network. Image data augmentation was performed by flipping, rotation, translation, shearing and zooming with basic image manipulation method. This study split 4000 training data and 1000 test data for 5000 image data held, the model is learned by adding 4000 and 8000 images by image data augmentation technique to 4000 training data. The evaluation results showed that the clasification accuracy for 4000, 8000, and 12,000 training data were 85.1%, 87.0%, and 90.2%, respectively, and the improvement effect depending on the increase of image data was confirmed.