• Journal of Plant Biology
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• v.5 no.3
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• pp.5-10
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• 1962

Studies on the anatomical observation of Bamboos distributed in East-South Asia for systematic botany were scarecely reported except for the morphological studies on Bamboos, which was investigated by Dr. Hiroshi Usui, present author and others. Recently it has been certain that it could be hardly classify some species of bamboo family without this work. For this reason the author reported the anatomical studies on Korean bamboos in 1959, and furthermore the author intended to identify the two species of Pleioblastum Simoni Nakai in Korean bamboos by studying the characteristics of internal structure and qualitative assay of free amino acid containg in Pleioblastus Simoni Nakai(1), (2). In view of fact that there is some differences between two species, it is likely to be identifiable completely different species one another. Furthermore, a lot of characteristics surveyed by the author were as follow: It was reassumed that two species cultivated under same conditions for three years were different alternately in the species of Pleioblastus Simoni Nakai. At the same time, these studies could clarify some evolutional processes of bamboo family. On the other hand, it was found that two species had not only the obvious difference in aerenchyma, the size of thickwalled parenchyma and bulliform cell, but also the internode of Pleioblastus Simoni Nakai(1) is longer than the other, the speed of growing is more rapid, the leaf of former is narrow and that of latter is wide. The free amino acids containg in each species were found as 18 kinds, especially Pleioblastus Simoni Nakai (2) had not Histidine in spite of containg in Pleioblastus Simoni Nakia(1). From the characteristics and the experiments described above, it seemed to the author that Pleioblasus Simoni Nakai (1) which was growing at the region of Ulsan in Korea.

• Journal of the Korean Chemical Society
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• v.57 no.1
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• pp.81-87
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• 2013

Staphylococcus aureus is the most important pathogen in nosocomial infections, including bloodstream infections. Prompt identification of S. aureus from blood cultures and detection of methicillin resistance are essential in cases of suspected sepsis. We have studied a new method for the sequence-specific visual detection of minute amounts of nucleic acids using intercalating reaction by addition of SYBR Green to amplicons of LAMP, and it's a unique gene amplification method in which DNA can be isothermally amplified using only one enzyme. Staphylococcus-LAMP, which targets the spa gene, encoding S.aureus-specific protein A, and the mecA gene, encoding penicillin-binding protein-2' for methicillin resistance, detected MRSA and MRSE. In this study, by using LAMP assay, I detected for Staphylococcus aureus and Staphylococcus epidermidis concentration in the clinical sample. The detection of Staphylococcus aureus and Staphylococcus epidermidis was tested by using serial 10-fold dilutions standard solution. I have accurate detected the limit of detection, sensitity, specificity and reproducibility of the assay. The Bio-chip based LAMP assay allowed easy, rapid, accurate and sensitive detection of infection with Staphylococcus and especially applicable in a resource-limited situation.

• Journal of Gifted/Talented Education
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• v.26 no.3
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• pp.493-514
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• 2016

Since the Gifted and Talented Education Promotion Law was enacted 15 years ago, in Korea, gifted education in Korea has continued rapid and quantitative growth. The number of gifted classes or institutes for the gifted have increased, as well as the number of gifted education teachers increasing their participation in professional development training and educational activities. However after 2014, gifted education is somewhat shrinking. Due to the controversy of private education and expansion of social welfare in Korea, administrative and financial support for gifted education is being reduced. This study reviewed the gifted education policies promoted by successive governments and analyzed the relationship between politics and support for gifted education efforts by the government. In addition, the phenomenon of the recently shrinking gifted education in Korean society was analyzed in various aspects. These aspects include: decreasing quantitative growth due to the weakening of administrative and financial support from central and local governments on gifted education, regulations on suppressing private education, social inequality to gifted education access, and lack of solidarity in the gifted education scholastic community. Based on this analysis of gifted phenomenon, ways of developing the ideological and practical aspects of future-oriented gifted education were suggested. In the ideological dimension, it was emphasized that gifted education must move away from insularity and the adhesive perspective of Korean society on the concept of giftedness, the concept of intelligence and the recognition of the legitimacy of gifted education. On the other hand, in the practical dimension, the following points were identified: the collection of empirical data on the economic impact of gifted education, gifted education amendment of the statutes, adaptation of the gifted education program with gifted identification, diversification of gifted education service system, and actively promoting new research topics in relation to the Gifted and Talented Education.

• Journal of Plant Biotechnology
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• v.48 no.3
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• pp.165-172
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• 2021

The solubilization of isolated proteins into the adequate buffer containing of surfactants is primary step for proteomic analysis. Particularly, sodium dodecyl sulfate (SDS) is the most widely used surfactant, however, it is not compatible with mass spectrometry (MS). Therefore, it must be removed prior to MS analysis through rigorous washing, which eventually results in inevitable protein loss. Recently, photocleavable surfactant, 4-hexylphenylazosulfonate (Azo), was reported which can be easily degraded by UV irradiation and is compatible with MS during proteomic approach using animal tissues. In this study, we employed comparative label-free proteomic analysis for evaluating the solubilization efficacies of the Azo and SDS surfactants using rice leave proteins. This approach led to identification of 3,365 proteins of which 682 proteins were determined as significantly modulated. Further, according to the subcellular localization prediction in SDS and Azo, proteins localized in the chloroplast were the major organelle accounting for 64% of the total organelle in the SDS sample, while only 37.5% of organelle proteins solubilized in the Azo were predicted to be localized in chloroplast. Taken together, this study validates the efficient solubilization of total protein isolated from plant material for bottom-up proteomics. Azo surfactant is suitable as substitute of SDS and promising for bottom-up proteomics as it facilitates robust protein extraction, rapid washing step during enzymatic digestion, and MS analysis.

• Korean Journal of Clinical Laboratory Science
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• v.51 no.2
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• pp.177-184
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• 2019

Mycobacteria grow slowly. Therefore, a solid medium should be used for eight weeks and a liquid medium for six weeks. The purpose of this study was to find the growth factors that can grow Mycobacterium rapidly and to help develop a solid medium for rapid identification. Three types of Mycobacterium growth factors were evaluated with 10 Mycobacteria by adding activated charcoal, defibrinated sheep blood, and L-ascorbic acid to $Difco^{TM}$ Mycobacteria 7H11 agar (Becton, Dickinson and Company, Sparks, MD, USA). The time to detection and the distinguishability of a colony were compared with that of the current method. In the rapidly growing Mycobacterium, the difference in detection time between the new media and conventional media confirmed that the new media was faster. M. kansasii and M. intracelluare grew faster in 7H11 C than in 7H11 medium. MTB grew faster than the other media in 7H11 C. This study confirmed that the two growth factors affect fast-growing Mycobacteria and slow-growing Mycobacteria. 7H11 C showed better distinguishability than the conventional media in all 10 Mycobacterium due to the color contrast. In particular, when the MTB was grown, the size of the colonies was larger than with other media, so visualization was easy.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.10
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• pp.285-290
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• 2021

In the medical field, disease diagnosis and prediction research using artificial intelligence technology is being actively conducted. It is being released as a variety of products for disease diagnosis and prediction, which are most widely used in the application of artificial intelligence technology based on medical images. Artificial intelligence is being applied to diagnose diseases, to classify diseases into benign and malignant, and to separate disease regions for use in identification or reading according to the risk of disease. Recently, in connection with cloud technology, its utility as a service product is increasing. Among the diseases dealt with in this paper, liver disease is a disease with very high risk because it is difficult to diagnose early due to the lack of pain. Artificial intelligence technology was introduced based on medical images as a non-invasive diagnostic method for diagnosing these diseases. We describe the development of a web service to help the most meaningful clinical reading of liver cirrhosis patients. Then, it shows the web service process and shows the operation screen of each process and the final result screen. It is expected that the proposed service will be able to diagnose liver cirrhosis at an early stage and help patients recover through rapid treatment.

• Journal of The Korean Society of Grassland and Forage Science
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• v.40 no.4
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• pp.259-264
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• 2020

The aim of this study was to investigate the feasibility of discrimination 12 different cultivar of sorghum × sudangrass hybrid (Sorghum genus) seed through near infrared spectroscopy (NIRS). The amount of samples for develop to the best discriminant equation was 360. Whole samples were applied different three spectra range (visible, NIR and full range) within 680-2500 nm wavelength and the spectrastar 2500 Near near infrared was used to measure spectra. The calibration equation for discriminant analysis was developed partial least square (PLS) regression and discrimination equation (DE) analysis. The PLS discriminant analysis model for three spectra range developed with mathematic pretreatment 1,8,8,1 successfully discriminated 12 different sorghum genus. External validation indicated that all samples were discriminated correctly. The whole discriminant accuracy shown 82 ~ 100 % in NIR full range spectra. The results demonstrated the usefulness of NIRS combined with chemometrics as a rapid method for discrimination of sorghum × sudangrass hybrid cultivar through seed.

• Journal of Appropriate Technology
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• v.6 no.2
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• pp.238-255
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• 2020

As COVID-19, which occurred at the end of 2019, has become a global pandemic, it has emerged as an unprecedented event that quickly destroys a nation's medical and healthcare system in both developed and developing countries. In the 21st century, most of the civil society that aimed for hyperconnected society is facing a new crisis that has not been experienced so far. Indeed, lack of personal protective equipment, isolation of clustered communities, disruption of medical systems necessary for diagnosis and treatment, and disruption of educational and economic activities due to social isolation are emerging. Since the COVID-19 has occurred, many of the difficulties that have occurred in the past six months indicate the basic infrastructure a society should have particularly in a pandemic. These include personal protective equipment (PPE), decontamination and quarantine tools essential for effective response, rapid and precise large-scale diagnosis, medical devices required for patient care, and identification and fast and wide on-line networks that can be used in social isolation. In this first part, we would like to introduce some representative examples of 1) personal protective equipment, 2) prevention of personal and community health, 3) social response through big data and networks within the framework of appropriate technology.

• Korean Journal of Remote Sensing
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• v.39 no.1
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• pp.77-86
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• 2023

Ship detection is widely used in areas such as maritime security, maritime traffic, fisheries management, illegal fishing, and border control, and ship detection is important for rapid response and damage minimization as ship accident rates increase due to recent increases in international maritime traffic. Currently, according to a number of global and national regulations, ships must be equipped with automatic identification system (AIS), which provide information such as the location and speed of the ship periodically at regular intervals. However, most small vessels (less than 300 tons) are not obligated to install the transponder and may not be transmitted intentionally or accidentally. There is even a case of misuse of the ship'slocation information. Therefore, in this study, ship detection was performed using high-resolution optical satellite images that can periodically remotely detect a wide range and detectsmallships. However, optical images can cause false-alarm due to noise on the surface of the sea, such as waves, or factors indicating ship-like brightness, such as clouds and wakes. So, it is important to remove these factors to improve the accuracy of ship detection. In this study, false alarm wasreduced, and the accuracy ofship detection wasimproved by removing wake.As a ship detection method, ship detection was performed using machine learning-based random forest (RF), and convolutional neural network (CNN) techniquesthat have been widely used in object detection fieldsrecently, and ship detection results by the model were compared and analyzed. In addition, in this study, the results of RF and CNN were combined to improve the phenomenon of ship disconnection and the phenomenon of small detection. The ship detection results of thisstudy are significant in that they improved the limitations of each model while maintaining accuracy. In addition, if satellite images with improved spatial resolution are utilized in the future, it is expected that ship and wake simultaneous detection with higher accuracy will be performed.

• The Korea Journal of Herbology
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• v.34 no.6
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• pp.57-62
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• 2019

Objective : Gastritis is a major complication of gastrointestinal disease. Lonicera japonica is used in folk medicine to treat different diseases such as exopathogenic wind-heat, epidemic febrile diseases, sores, carbuncles and some infectious diseases. Therefore, this study examined the effects of Lonicera japonica water extract (LJE) on HCl/ethano-linduced acute gastric ulceration and anti-oxidants properties. Methods : LC-ESI-IT-TOF MS was employed for rapid identification of major compound from LJE. The antioxidant activities were evaluated through total polyphenol and flavonoid contents and radical scavenging assays and superoxide dismutase (SOD)-like activity. SD rats were randomly divided into five different groups including the normal group, ulcer group, positive group (20 kg/mg of omeprazole, ip), and experimental groups (100 kg/mg and 500 kg/mg of LJE, ip). Results : 4,5-Dicaffeoyl quinic acid, loganic acid, secologanic acid, sweroside, loganin, vogeloside were identified based on the detection of the molecular ion with those of literature data. The LJE was possessed free radical scavenging activities such as DPPH (IC₅₀=189.7 ㎍/㎖), ABTS (IC₅₀=164.5 ㎍/㎖), and SOD-like activity (IC₅₀=405.02 ㎍/㎖). Macroscopic and histological analyses showed LJE treated group were significantly reduced to an extent that it allowed leukocytes penetration of the gastric walls compared with the ulcer group. In addition, an ulcer inhibition rate and prostaglandin E₂ levels were increased in rats treated with LJE. Conclusion : The present study has demonstrated the antioxidantive and gastroprotective effect of LJE, these findings suggested that LJE has the potential for use in treatment of gastric disorders.