• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1466-1475
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• 2021

Compound K (20-O-β-(_D-glucopyranosyl)-20(S)-protopanaxadiol) is an active ingredient of ginsenosides. Compound K has been known to produce from biotransformation by β-glucosidase action of human intestinal microbes after oral admistration of ginseng. We have investigated the cytotoxicity of compound K obtained from bio-converted ginseng extract. As a result, compound K showed no significant cytotoxicity in the concentration of 0.001 to 1 ㎍/mL and inhibited the production of TNF-α, MCP-1, IL-6 and NO in RAW 264.7 cells induced by LPS inflamation. In the same concentration, HaCaT cells induced by inflammation with TNF-α and IFN-γ decreased IL-8 production due to compound K treatment. In the brine shrimp lethality assay, the LC₅₀ of compound K was 0.37 mg/mL indicating some toxicity, but the bioconverted product containing 35% compound K showed relatively low toxicity with an LC₅₀ of 0.87 mg/mL. These results suggest that the compound K enriched extract is a potential functional material for acne relief cosmetic products.

• Korean Journal of Remote Sensing
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• v.36 no.5_2
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• pp.961-973
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• 2020

In this manuscript, a new pansharpening model based on Convolutional Neural Network (CNN) was developed. Dilated convolution, which is one of the representative convolution technologies in CNN, was applied to the model by making it deep and complex to improve the performance of the deep learning architecture. Based on the dilated convolution, the residual network is used to enhance the efficiency of training process. In addition, we consider the spatial correlation coefficient in the loss function with traditional L1 norm. We experimented with Dilated Residual Networks (DRNet), which is applied to the structure using only a panchromatic (PAN) image and using both a PAN and multispectral (MS) image. In the experiments using KOMPSAT-3A, DRNet using both a PAN and MS image tended to overfit the spectral characteristics, and DRNet using only a PAN image showed a spatial resolution improvement over existing CNN-based models.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.30 no.2
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• pp.51-85
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• 2017

Objectives : This study aimed to investigate the awareness improvement of atopic dermatitis(AD) for AD children's parents and to evaluate the mental health condition of AD children and QoL of their parents. Methods : We conducted elementary school visit education(the first education) and recruited children and parents who wanted to participate the hospital visit education(the Second education). In the first education, we lectured about AD, performed survey about QoL and awareness about AD and obtained 48 valid results. In the second education, we performed an education for AD again, skin condition evaluation, mental health analysis survey and obtained 29 valid results. We compared the AD and non-AD groups of each education in the first and second education. We assessed atopic awareness, FDLQI, DFI, CDI, BAI, and KISE scores by gender, age, duration of disease, onset, and severity of AD. Results : Despite children with AD, the survey showed their parents lacked knowledge about AD. However, they acquired the necessary knowledge in AD education. There was a significant difference in the total score of Atopic awareness between the AD group in the first education and the AD group in the second education. (p=0.042) In addition, the CDI and BAI scores of all patients were divided by the duration of disease, and it was estimated that depression and anxiety disorders may be aggravated by longer term illness. Conclusions and Discussions : This study confirmed duration of AD affects AD children's mental health, and verified positive changes in atopic awareness after AD education.

• Journal of The Korean Association For Science Education
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• v.19 no.4
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• pp.645-652
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• 1999

The effects of number, source, and sequence of analogs on middle school students' concept recall and application were investigated. Based on the number (one/two) and source(everyday/science) of analogs, four types of learning materials were developed and pilot-tested. Prior to the treatment the field dependence/independence (FD/l) test was administered and the scores were used as a blocking variable. The learning materials were read by randomly assigned middle school students (N=88), and the concept recall and application test was administered immediately and four weeks later. In the immediate and retention tests, there were no significant main effects of number, source, and sequence of analogs. In the application problems of retention test. however, there were some significant interaction effects with students' FD/I. Field-independent students who learned with two analogs scored significantly higher than those who learned with one analog. In the case of using two analogs, field-dependent students who learned with everyday-analog first scored significantly higher than those who learned with science-analog first.

• Journal of KIISE
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• v.45 no.1
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• pp.30-35
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• 2018

GuessWhat?! is a game in which two machine players, composed of questioner and answerer, ask and answer yes-no-N/A questions about the object hidden for the answerer in the image, and the questioner chooses the correct object. GuessWhat?! has received much attention in the field of deep learning and artificial intelligence as a testbed for cutting-edge research on the interplay of computer vision and dialogue systems. In this study, we discuss the objective function and characteristics of the GuessWhat?! game. In addition, we propose a simple solver for GuessWhat?! using a simple rule-based algorithm. Although a human needs four or five questions on average to solve this problem, the proposed method outperforms state-of-the-art deep learning methods using only two questions, and exceeds human performance using five questions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.881-895
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• 2023

Modern image inpainting techniques based on deep learning have achieved remarkable performance, and more and more people are working on repairing more complex and larger missing areas, although this is still challenging, especially for facial image inpainting. For a face image with a huge missing area, there are very few valid pixels available; however, people have an ability to imagine the complete picture in their mind according to their subjective will. It is important to simulate this capability while maintaining the identity features of the face as much as possible. To achieve this goal, we propose a three-stage network model, which we refer to as the identity and structure feature refinement network (ISFRNet). ISFRNet is based on 1) a pre-trained pSp-styleGAN model that generates an extremely realistic face image with rich structural features; 2) a shallow structured network with a small receptive field; and 3) a modified U-net with two encoders and a decoder, which has a large receptive field. We choose structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), L1 Loss and learned perceptual image patch similarity (LPIPS) to evaluate our model. When the missing region is 20%-40%, the above four metric scores of our model are 28.12, 0.942, 0.015 and 0.090, respectively. When the lost area is between 40% and 60%, the metric scores are 23.31, 0.840, 0.053 and 0.177, respectively. Our inpainting network not only guarantees excellent face identity feature recovery but also exhibits state-of-the-art performance compared to other multi-stage refinement models.

• Journal of Korean Society on Water Environment
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• v.40 no.3
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• pp.121-129
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• 2024

Harmful cyanobacterial blooms (HCBs) are caused by the rapid proliferation of cyanobacteria and are believed to be exacerbated by climate change. However, the extent to which HCBs will be stimulated in the future due to increased temperature remains uncertain. This study aims to predict the future occurrence of cyanobacteria in the Nakdong River, which has the highest incidence of HCBs in South Korea, based on temperature rise scenarios. Representative Concentration Pathways (RCPs) were used as the basis for these scenarios. Data-driven model simulations were conducted, and out of the four machine learning techniques tested (multiple linear regression, support vector regressor, decision tree, and random forest), the random forest model was selected for its relatively high prediction accuracy. The random forest model was used to predict the occurrence of cyanobacteria. The results of boxplot and time-series analyses showed that under the worst-case scenario (RCP8.5 (2100)), where temperature increases significantly, cyanobacterial abundance across all study areas was greatly stimulated. The study also found that the frequencies of HCB occurrences exceeding certain thresholds (100,000 and 1,000,000 cells/mL) increased under both the best-case scenario (RCP2.6 (2050)) and worst-case scenario (RCP8.5 (2100)). These findings suggest that the frequency of HCB occurrences surpassing a certain threshold level can serve as a useful diagnostic indicator of vulnerability to temperature increases caused by climate change. Additionally, this study highlights that water bodies currently susceptible to HCBs are likely to become even more vulnerable with climate change compared to those that are currently less susceptible.

• Korean Journal of English Language and Linguistics
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• v.2 no.3
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• pp.305-327
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• 2002

This paper is in line with the attempts to examine two assumptions implied about the role of Universal Grammar (UC) in nonnative language acquisition: Are the EFL learners at disadvantage in acquiring UC-driven knowledge? Are there critical period effects in EFL learning? Based on the research with the seven studies of ESL and EFL adult learners performance on the Subjacency violation sentences, the paper investigates the extent to which the EFL adult learners can attain UG-driven knowledge represented by the Subjacency Principle. It also makes comparison of the EFL learners level of access to UG with that of their counterparts, the ESL learners. The research findings suggests that the EFL environment doesn't prevent the learners from acquiring target grammar in UG domain. That is, the current paper strongly suggests that the EFL adult-learners be able to acquire UG-driven knowledge to a considerable extent, at least as high as the ESL adult learners can attain. For the interpretation of the research results of the seven studies, Constructionist Hypothesis (CH) supported by a Minimalist Program (MP) assumption is employed. CH seems more plausible to account not only for incomplete acquisition observed among the beginning and intermediate level learners but also for the native-like competence acquired by advanced level L2 learners.

• Journal of Oriental Neuropsychiatry
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• v.19 no.3
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• pp.101-115
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• 2008

Objective: The purpose of this study was to investigate the protective effects of Sam-Jeong-Hwan(SJH) on the animal model of depression induced immobilization stress. Method: The subject were divided into 4 groups(l. normal 2. saline solution administered during immobilization stress treatment 3. SJH of 100mg/kg administered 4. BKJ of 400mg/kg administered). Immobilization stress was treated for 1 hours on day. During 2 days of immobilization stress treatment, they were executed forced swimming test, passive avoidance test, elevated plus maze test. Corticosterone and ACTH in blood were measured. Results: In forced swimming test, SJH of 400mg/kg group showed decreased immobilization. In passive avoidance test, SJH of 400mg/kg group showed increased learning execution. In EPM test, SJH of 400mg/kg group showed decreased anxiety. In locomotor activity test, SJH groups showed significantly increased locomotor activity. Stress group showed significantly increase in serum level of corticosterone, SJH of 400mg/kg group showed decreased serum level of corticosterone. Stress group showed significantly increase in serum level of ACTH, SJH of 400mg/kg group showed decreased serum level of ACTH. Conclusion: These results suggest that Sam-Jeong-Hwan(SJH) is effective in the treatment of depression.

• Journal of The Korean Association For Science Education
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• v.11 no.2
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• pp.67-77
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• 1991

In this paper, current research papers on Physics Problem Solving were analyzed according to the types of research purpose, method, subject and content of Physics, by using 3 Proceedings and 4 kinds of Journal, that is, the International Workshop(1983, Paris, France) and Conference (1983, Utrecht, The Netherlands) and Seminar(1987, Cornell University, U. S. A.) on Physics Education, and Journal of Research in Science Teaching (1984-1990) and Science Education (1986-1990). and Inter national Journal of Science Education(l987-1988) and Cognitive Science(1989-1990). There were 98 research papers on Problem Solving and among them 37 papers on Physics Problem Solving were selected for analyzing. The results of analysis are as follows; 1) The studies on Model of Novice Student were 22(59%), And those on Model of Desired Preformance, on Model of learning and on Model of Teaching were all much the same. 2) The theoretical studies were 10(27%), and the experimental ones 27(73%). Among the experimental studies, there were 16(59%) by using the written test, and 7(26%) by using the thinking aloud method. 3) The studies about university students as subjects were 20(54%). Probably, it seems the reason that most of researchers on Physics Problem Solving were professors of university or graduate students. 4) Among the various fields of Physics, the studies on Mechanics were 24(63%) and those on E1ectromagnetics 6(16%). or graduate students.