• Korean Journal of Ichthyology
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• v.22 no.2
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• pp.96-104
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• 2010

During an artificial breeding as a part of restoration of the endangered Korean bitterling Acheilognathus signifer, a small number of individuals exhibiting oculocutaneous albinism were produced. We compared the pigmentation and morphology of normal and albinic bitterlings by histological examination of skin samples obtained from 10 regions on the body, fins, and eyes. There were no differences in morphometry and in general morphology of skin between them. In normal bitterlings, pigment cells were better developed in the dorsal region, the upper part of caudal peduncle region, the choroid-retinal epithelium and iris than in other areas. In the albinic bitterling, however, pigment cells were present only in three parts of the dorsal region, the caudal and dorsal fin, which had few melanin cells. Albinic bitterlings also displayed deficient pigmentation in the choroid-retina pigment epithelium and iris. Although they had different pigmentation aspects in distribution and development between normal and albinic bitterlings, melanin cells were mainly present in the dorsal regions of the skin and eyes where are exposed directly to light.

• Archives of Plastic Surgery
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• v.33 no.4
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• pp.413-422
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• 2006

Purpose: This study was designed to compare the wound healing effect of silk fibroin, alginate and fibroin/ alginate blend sponge with clinically used Nu gauze in a rat skin defect model. Methods: Two full thickness excisions were made on the back of Sprague-Dawley rat. The excised wound was covered with either of the silk fibroin(SF), alginate (SA), or fibroin/alginate blend sponge(SF/SA). On the postoperative days of 3, 7, 10 and 14, the wound area was calculated by image analysis software. At the same time, a skin wound tissue was biopsied. Results: Healing time 50% ($HT_{50}$) of SF/SA sponge treated group was dramatically reduced as compared with that of control treatment. We also found that the $HT_{50}$ of SF/SA sponge was significantly decreased as compared with either those of SF or SA treatment. Furthermore, SF/SA treatment significantly increased the size of epithelialization and collagen deposition as well as the number of PCNA positive cells on epidermal basement membrane as comapred with those of control treatment. Conclusion: Our results suggest that the wound healing effect of SF/SA blend sponge is the best among other treatments including SF and SA during the whole wound healing period.

• Journal of Chest Surgery
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• v.29 no.2
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• pp.239-243
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• 1996

Chest wall reconstruction Is difficult because of the physiological and anatomical functions of thoracic cavity where the thoracic cavity must be stabilized in order to prevent paradoxical motion, and adequate protection must be provided to the mediastinal structures. A 37-year-old male patient with full-thickness defect on the left anterior thoracic cavity due to traffic accident was treated. Emergency operation was performed for debridement and bleeding control, and on postoperative 25 days, chest wall reconstruction was performed as a second-stage operation. Left anterior chest wall was reconstructed with latissimus dorsi myocutaneous flap which had thoracodorsal arterial pedicle, and split-thickness skin grift from the left thigh was done. After chest wall reconstruction, spontaneous self-respiration was possible without ventilatory support. The pulmonary function test performed at postoperative 3 months revealed 80% of predicted values (FVC, FEV1.0). The postoperative result of chest wall reconstruction using latissimus dorsi myocutaneous flap was excellent anatomically, physiologically and aesthetically.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.35 no.2
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• pp.111-116
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• 2009

Gymnema sylvestre, a traditional India medicine called a 'Gagaimogouip' in Korea, has been used to regulate sugar metabolism in patients with diabetes mellitus. First, we induced callus from Gymnema sylvestre leaf and mode extract from cultured callus. In this study, we investigated the anti-obesity effect of tissue-cultured Gymnema sylvestre leaf extract in 3T3-L1 cells. The tissue-cultured Gymnema sylvestre extract inhibited the cytoplasmic lipid accumulation as well as adipogenic differentiation of preadipocytes. The tissue-cultured Gymnema sylvestre extract inhibited insulin-induced predipocyte differentiation through the inhibition of expression of the early adipogenic transcription factor C/EBP-${\alpha}$ that regulate adipogenesis. These results indicate that tissue-cultured Gymnema sylvestre extract may be potential natural ingredient for slimming cosmetic products.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.43 no.4
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• pp.321-327
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• 2017

This study was carried out to develop a stable plant-derived natural sunscreen (BHC-S) that replaces the artificially synthesized organic sunscreen agents. The natural sunscreen (BHC-S), which is composed of peanut extract, Centella asiatica extract, and Ecklonia stolonifera extract, has the same level of ultraviolet shielding effect as PARSOL MCX-XR (OMC), which is a synthetic sunscreen. and has safety against skin. MultiFunctional effect such as and anti-wrinkle improvement. Thus, it can be used as raw material for natural cosmetics for ultraviolet ray blocking, and anti-aging.

• Applied Chemistry for Engineering
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• v.30 no.2
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• pp.233-240
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• 2019

Molecular recognition technology has attracted considerable attention for improving the selectivity of a specific molecule by imprinting it on a polymer matrix. In this study, adsorption and release characteristics of chitosan based drug delivery films imprinted with sulindac (SLD) were investigated in terms of the plasticizer, temperature and pH and the results were also interpreted by the related mathematical models. The adsorption characteristics of target molecules on SLD-imprinted polymer films were better explained by the Freundlich and Sips equation than that of the Langmuir equation. The binding site energy distribution function was also useful for understanding the adsorption relationship between target molecules and polymer films. The drug release of SLD-imprinted polymer films followed the Fickian diffusion mechanism, whereas the drug release using artificial skin followed the non-Fickian diffusion behavior.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.4
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• pp.381-387
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• 2019

The limitations of applying a variety of artificial intelligence to the medical community are, first, subjective views, extensive interpreters and physical fatigue in interpreting the image of an interpreter's illness. And there are questions about how long it takes to collect annotated data sets for each illness and whether to get sufficient training data without compromising the performance of the developed deep learning algorithm. In this paper, when collecting basic images based on acne data sets, the selection criteria and collection procedures are described, and a model is proposed to classify data into small loss rates (5.46%) and high accuracy (96.26%) in the sequential structure. The performance of the proposed model is compared and verified through a comparative experiment with the model provided by Keras. Similar phenomena are expected to be applied to the field of medical and skin care by applying them to the acne classification model proposed in this paper in the future.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1433-1444
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• 2021

This study was conducted for the purpose of developing a curriculum to educate the practical skills required in the industry by convergence with the 4th industry in the beauty field, which has been accelerated since the Corona era. As a result of an exploratory investigation of several literatures and collecting expert opinions, it was analyzed that the field of beauty industry will expand to a personalized service providing industry that combines medical, bio, ICT, and artificial intelligence technologies, rather than providing a single item or service. Based on the analysis contents, the curriculum was composed and subjects were derived by adding digital application skills to have in addition to the basic job skills required in the traditional beauty industry. The post-Corona era will bring changes in various industries based on the Fourth industrial revolution, and in response to these changes, universities should always pay attention to changes in the industry to develop talent for the development and sustainability of the beauty industry.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.474-477
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• 2021

Recently, in order to prevent the proliferation of COVID-19, which began in earnest in 2020, an increasing number of places have been measuring the temperature and required to wear a mask. However, as wearing a mask and checking the temperature are typically measured directly by a person or by a single individual positioned in front of the machine, standards may vary based on the person's manual measurement method, wasting workforce. While standing in front of a device often measures the maximum temperature of the face, the standard of fever is also unclear. Both approaches can create bottleneck situations when checking large numbers of people. Furthermore, it is unable to conduct periodic measurements and tracking because the measuring machines are generally put only at the entrance. Thus, this study suggests a method for preventing the spread of infectious diseases by automatically identifying and displaying unmasked people and those with fever in real-time using a general camera, a thermal imaging camera, and an artificial intelligence algorithm.

• Management & Information Systems Review
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• v.36 no.4
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• pp.33-51
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• 2017

With the advent of 'The Forth Industrial Revolution' and the growing demand for quality of life due to economic growth, needs for the quality of medical services are increasing. Artificial intelligence has been introduced in the medical field, but it is rarely used in chronic skin diseases that directly affect the quality of life. Also, atopic dermatitis, a representative disease among chronic skin diseases, has a disadvantage in that it is difficult to make an objective diagnosis of the severity of lesions. The aim of this study is to establish an intelligent severity recognition model of atopic dermatitis for improving the quality of patient's life. For this, the following steps were performed. First, image data of patients with atopic dermatitis were collected from the Catholic University of Korea Seoul Saint Mary's Hospital. Refinement and labeling were performed on the collected image data to obtain training and verification data that suitable for the objective intelligent atopic dermatitis severity recognition model. Second, learning and verification of various CNN algorithms are performed to select an image recognition algorithm that suitable for the objective intelligent atopic dermatitis severity recognition model. Experimental results showed that 'ResNet V1 101' and 'ResNet V2 50' were measured the highest performance with Erythema and Excoriation over 90% accuracy, and 'VGG-NET' was measured 89% accuracy lower than the two lesions due to lack of training data. The proposed methodology demonstrates that the image recognition algorithm has high performance not only in the field of object recognition but also in the medical field requiring expert knowledge. In addition, this study is expected to be highly applicable in the field of atopic dermatitis due to it uses image data of actual atopic dermatitis patients.