• Journal of the Korea Computer Graphics Society
• /
• v.28 no.2
• /
• pp.11-19
• /
• 2022

Recently, various researches on medical image generation have been suggested, and it becomes crucial to accurately evaluate the quality and diversity of the generated medical images. For this purpose, the expert's visual turing test, feature distribution visualization, and quantitative evaluation through IS and FID are evaluated. However, there are few methods for quantitatively evaluating medical images in terms of fidelity and diversity. In this paper, images are generated by learning a chest CT dataset of non-small cell lung cancer patients through DCGAN and PGGAN generative models, and the performance of the two generative models are evaluated in terms of fidelity and diversity. The performance is quantitatively evaluated through IS and FID, which are one-dimensional score-based evaluation methods, and Precision and Recall, Improved Precision and Recall, which are two-dimensional score-based evaluation methods, and the characteristics and limitations of each evaluation method are also analyzed in medical imaging.

• Journal of Industrial Convergence
• /
• v.20 no.11
• /
• pp.185-190
• /
• 2022

Since COVID-19, digital transformation has been taking place in the entire industry, and Metaverse is attracting attention as an untect service. Therefore, this study aims to find out about brand experience marketing cases using metaverse targeting beauty brands. This study reviewed previous studies related to metaverse marketing and beauty brand marketing. SK-II, Christian Dior used VR technology to provide users with contents and experience of brand products, and L'Oreal, Sephora, Laneige used AR technology to provide virtual makeup applications. It's believed that this experience marketing will have a positive effect on customers' purchase intention and its importance will increase further to target Z Generation. It's expected that this study can be used as related data in the metaverse and experience marketing of beauty brands, and research on metaverse marketing should be continued in the beauty field.

• The Journal of the Convergence on Culture Technology
• /
• v.5 no.3
• /
• pp.317-326
• /
• 2019

The present study aimed to investigate the comparative evaluation of pharmacological efficacy between sulfasalazine alone and combination with herbal medicine on dextran sodium sulfate (DSS)-induced UC in mice. Balb/c mice received 5% DSS in drinking water for 7 days to induce colitis. Animals were divided into five groups (n = 9): group I-normal group, group II-DSS control group, group III-DSS + sulfasalazine (30 mg/kg), group IV-DSS + sulfasalazine (60 mg/kg), group V-DSS + sulfasalazine (30 mg/kg) + Radish Extract mixture (30 mg /kg) (SRE). DSS-treated mice developed symptoms similar to those of human UC, such as severe bloody diarrhea and weight loss. SRE supplementation, as well as sulfasalazine, suppressed colonic length and mucosal inflammatory infiltration. In addition, SRE treatment significantly reduced the expression of pro-inflammatory signaling molecules through suppression both MAPK) and nuclear factor-kappa B (NF-${\kappa}B$) signaling pathways, and prevented the apoptosis of colon. Moreover, SRE administration significantly led to the up-regulation of anti-oxidant enzyme including SOD and Catalase. This is the first report that Radish extract mixture combined with sulfasalazine protects against experimental UC via the inhibition of both inflammation and apoptosis, very similar to the standard-of-care sulfasalazin.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.6
• /
• pp.849-854
• /
• 2022

In this study, the anti-inflammatory effect of supercritical carbon dioxide selective extracts, which extract decursin and decursinol angelate, the vital active ingredients of Angelica gigas Nakai, in high yield, was measured compared to that of ethanol extracts. To measure the anti-inflammatory effect, the production of nitric oxide(NO), an inflammatory mediator, and interleukin(IL)-6 and IL-8, inflammatory cytokines, was measured. NO production was measured by Griess assay on Raw 264.7 cells induced inflammatory response by lipopolysaccharide(LPS), and IL-6 and IL-8 production was measured by enzyme-linked immunoadsorbent assay(ELISA) on human keratinocyte cell line(HaCaT) cells induced inflammatory response by tumor necrosis factor(TNF)-α. The amount of NO production was suppressed outstandingly by the supercritical carbon dioxide extracts compared to the ethanol extracts. The amount of IL-6 and IL-8 production was increased by the ethanol extracts, whereas statistically significantly inhibited by supercritical carbon dioxide extracts at the concentration of 6.25 ㎍/mL(P<0.01). Through these results, we confirmed that the supercritical carbon dioxide selective extracts of Angelica gigas Nakai could be used as an anti-inflammatory cosmeceutical material to alleviate atopic dermatitis.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.4
• /
• pp.587-592
• /
• 2023

Plant growth is regulated by a variety of factors, including organic matter availability. Organic nutrients are carbohydrate molecules from photosynthetic products produced by tissues associated with carbon and energy fixation called "sources". These compounds flow through plant vascular bundles into non-photosynthetic or growing tissues called "sinks". Among these possible compounds, the disaccharide fructosyl glucose, sucrose, is the most representative. During the transport of sucrose, the pathway from the source to the sinks can include hydrolysis of sucrose into glucose and fructose derivatives or direct transfer of sucrose. Among the enzymes involved in this, β-D-fructofuranosidase is the most important. Soluble neutral β-D-fructofuranosidase, one of several isoenzymes, is located in intracellular protoplasts and helps plant cells metabolize sucrose to produce energy. In order to track the activity of this enzyme during the course of plant growth, histological methods were used for the most effective immunolocalization. As a result, the activity was higher in the phloem and epidermis than in the mesophyll tissue in the leaf. In the growing stem, activity was high in the phloem, epidermis, and cortex. The activity of the root, which is a sink tissue, was high in all parts, but especially the highest in the root tip part. It is thought that this is because it helps unloading of sucrose in sink tissues that require sucrose degradation and plays a role in hydrolysising sucrose.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.3
• /
• pp.865-872
• /
• 2024

Loperamide-induced constipation reduced gastric emptying, small-intestinal and colonic motility, and these effects were prevented by Fruit and vegetable complex extracts(FVCE). In this study, the effects of FVCE on constipated male Sprague-Dawley rats induced by loperamide(3 mg/kg, s.c.,14 days) were investigated. Rats were randomly assigned to the normal control rats(regular diet), constipated rats(regular diet plus loperamide), constipated rats treated with 200 mg FVCE(regular diet supplemented with 200 mg/kg/day FVCE plus loperamide), constipated rats treated with 400 mg FVCE(regular diet supplemented with 400 mg/kg/day FVCE plus loperamide). There was less fecal excretion and lower fecal water content in loperamide-treated rats than in control rats. Oral administration of FVCE blocked the decrease of fecal excretion and fecal water content in the loperamide-treated rats. Mucus production of crypt cell and mucus contents at fecal and mucosa surface were reduced by loperamide-treated rat. But colonic crypt cell contained increased mucin in the FVCE treated group and mucus layer stained with alcian blue was significantly thicker in FVCE treated rats compared with in loperamide-treated rats. In isolated rat ileum, loperamide produced inhibition of ileal motility. Pretreatment with water extracts of FVCE in isolated rat ileum prevented inhibition by loperamide. These findings indicated that the FVCE was effective for alleviation of inhibition of colonic peristalsis by loperamide and that FVCE might be of value in the prevention of constipation.

• Journal of Life Science
• /
• v.32 no.9
• /
• pp.734-741
• /
• 2022

Currently, around 40 million people worldwide are living with human immunodeficiency virus (HIV) infection making HIV a critical global health risk. Present therapies for HIV infection consist of drug cocktails that target different steps of the HIV life cycle to prevent infection, replication, and release of the virus. Due to its mutating nature, drug resistance coupled with side-effects of long-term drug use, novel strategies, and pharmaceuticals to treat and manage HIV infection are constant needs and continuously being studied. Plants allocate a major repertoire of chemical diversity and are therefore regarded as an important source of new bioactive agents that can be utilized against HIV. Since the early 1990s, upon recommendations of the World Health Organization, numerous studies reported phytochemicals from different structural classes such as flavonoids, coumarins, tannins and terpenes with strong inhibitory effects against HIV infection. The present review gathered and presented recent research (2021-present) on plant extracts and phytochemicals that exhibit anti-HIV properties with the aim of providing insights into future studies where ethnomedical and underutilized plant sources may yield important natural products against HIV. Considering the relation and importance of HIV treatment with current viral infection risks such as SARS-CoV-2, screening plants for anti-HIV agents is an important step towards the discovery of novel antivirals.

• The Journal of the Convergence on Culture Technology
• /
• v.5 no.3
• /
• pp.271-282
• /
• 2019

This study was conducted to evaluate physiological activity of Robinia pseudo-acacia leaf and its skin penetration using polymer micelles and skin penetrating peptide. After extraction with Robinia pseudo-acacia using the ethanol and distilled water, various physiological activities were examined. The total concentration of polyphenol compounds was determined to be 47.42 mg/g (ethanol extract), 56.88 mg/g (hydrothermal extract) and DPPH radical scavenging ability at $1,000{\mu}g/mL$ was 44.24% in ethanol extract and it is higher than value(41.50%) in hydrothermal extract. The elastase inhibitory assay showed concentration dependence and elastase inhibition of Robinia pseudo acacia leaf ethanol extract was 54.09%, which was the highest at $500{\mu}g/mL$. In the SOD-like experiments, the concentration-dependent results were showed and the SOD-like activity of the Robinia pseudo-acacia leaf ethanol extract was higher than that of the Robinia pseudo acacia leaf hydrothermal extract at all concentrations. At a concentration of $500{\mu}g/mL$, Robinia pseudo acacia leaf ethanol extract showed the highest SOD-like activity of 76.41%. The tyrosinase inhibition at $20{\mu}g/mL$ was determined to be 56.47% (ethanol extract), 23.05% (hydrothermal extract). In the antimicrobial experiments, the hydrothermal extract had no effect, but ethanol extract represented maximum clear zone of 11.00 mm in Propionbacterium acnes strain and maximum clear zone of 10.50 mm. in Bacillus subtilis strain. To solve the problem of insolubility and to improve skin penetration, PCL-PEG polymer micelles containing Robinia pseudo-acacia leaf ethanol extracts and 1.0% cell permeable peptide, hexa-D-arginine (R6) were successfully prepared with particle size of 108.23 and 126.47 nm and excellent skin permeation effects could be showed.

• Korean Journal of Ecology and Environment
• /
• v.55 no.1
• /
• pp.60-75
• /
• 2022

The Bayesian algorithm model is a model algorithm that calculates probabilities based on input data and is mainly used for complex disasters, water quality management, the ecological structure between living things or living-non-living factors. In this study, we analyzed the main factors affected Korean Estuary Trophic Diatom Index (KETDI) change based on the Bayesian network analysis using the diatom community and physicochemical factors in the domestic estuarine aquatic ecosystem. For Bayesian analysis, estuarine diatom habitat data and estuarine aquatic diatom health (2008~2019) data were used. Data were classified into habitat, physical, chemical, and biological factors. Each data was input to the Bayesian network model (GeNIE model) and performed estuary aquatic network analysis along with the nationwide and each coast. From 2008 to 2019, a total of 625 taxa of diatoms were identified, consisting of 2 orders, 5 suborders, 18 families, 141 genera, 595 species, 29 varieties, and 1 species. Nitzschia inconspicua had the highest cumulative cell density, followed by Nitzschia palea, Pseudostaurosira elliptica and Achnanthidium minutissimum. As a result of analyzing the ecological network of diatom health assessment in the estuary ecosystem using the Bayesian network model, the biological factor was the most sensitive factor influencing the health assessment score was. In contrast, the habitat and physicochemical factors had relatively low sensitivity. The most sensitive taxa of diatoms to the assessment of estuarine aquatic health were Nitzschia inconspicua, N. fonticola, Achnanthes convergens, and Pseudostaurosira elliptica. In addition, the ratio of industrial area and cattle shed near the habitat was sensitively linked to the health assessment. The major taxa sensitive to diatom health evaluation differed according to coast. Bayesian network analysis was useful to identify major variables including diatom taxa affecting aquatic health even in complex ecological structures such as estuary ecosystems. In addition, it is possible to identify the restoration target accurately when restoring the consequently damaged estuary aquatic ecosystem.

• Journal of Life Science
• /
• v.34 no.5
• /
• pp.339-355
• /
• 2024

The pulmonary system is a highly complex system that can only be understood by integrating its functional and structural aspects. Hence, in vivo animal models are generally used for pathological studies of pulmonary diseases and the evaluation of inhalation toxicity. However, to reduce the number of animals used in experimentation and with the consideration of animal welfare, alternative methods have been extensively developed. Notably, the Organization for Economic Co-operation and Development (OECD) and the United States Environmental Protection Agency (USEPA) have agreed to prohibit animal testing after 2030. Therefore, the latest advances in biotechnology are revolutionizing the approach to developing in vitro inhalation models. For example, lung organ-on-a-chip (OoC) and organoid models have been intensively studied alongside advancements in three-dimensional (3D) bioprinting and microfluidic systems. These modeling systems can more precisely imitate the complex biological environment compared to traditional in vivo animal experiments. This review paper addresses multiple aspects of the recent in vitro modeling systems of lung OoC and organoids. It includes discussions on the use of endothelial cells, epithelial cells, and fibroblasts composed of lung alveoli generated from pluripotent stem cells or cancer cells. Moreover, it covers lung air-liquid interface (ALI) systems, transwell membrane materials, and in silico models using artificial intelligence (AI) for the establishment and evaluation of in vitro pulmonary systems.