• Journal of Life Science
• /
• v.33 no.11
• /
• pp.905-914
• /
• 2023

To evaluate the effectiveness of the skin barrier improvement of lactic acid (LA) and gluconolactone (GL), the expression of filaggrin, loricrin, hyaluronic acid (HA), hyaluronan syhthase-2 (HAS2), and aquaporine-3 (AQP3) in keratinocytes, and the moisture content and transepidermal water loss (TEWL) by clinical trials were evaluated. The expression levels of filaggrin and locricrin, which are the main factors affecting the proper functioning of skin barrier function, and HA, HAS2, and AQP3, which are skin moisturizing-related proteins measured by quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting. The results showed that the expression levels of the factors that decreased by H2O2 treatment were significantly increased by LA, GL, and a mixture of LA and GL at the mRNA and protein levels (p<0.05). The nanoemulsion containing a mixture of LA and GL was prepared using the emulsion inversion method, and the average particle size was 299.9 ± 0.287 nm. After measuring the TEWL of nanoemulsion using Vapometer, it was found that TEWL significantly decreased by 15.53% and 26.73% after two weeks and four weeks of product use, respectively, compared to TEWL before product use (p<0.001). Similarly, the skin moisture content of the nanoemulsion significantly increased by 15.40% and 26.59% after two weeks and four weeks of product use, respectively, compared to skin moisture content before product use (p<0.001). Therefore, the skin barrier function and moisturizing effect of a mixture of LA and GL are shown by increasing the moisture content and decreasing the TEWL by increasing the expression of filaggrin, loricrin, HA, HAS2, and AQP3. This suggests the possibility for the development of functional cosmetic ingredients in the future.

• Korea Trade Review
• /
• v.48 no.3
• /
• pp.131-150
• /
• 2023

The purpose of this study was to find a countermeasure to the U.S. import refusals for the Korean healthcare and life sciences industry. To this end, an analysis of trends during the pandemic was conducted using the KITA Border Rejection Database, which includes information on items and types of import refusals. The reason for rejection was also analyzed according to the FDA violation codes. The degree of countermeasure for import refusals was identified by measuring the unit rejection rate (URR). The results of the analysis showed that the major U.S. import refusals for the Korean healthcare and life sciences industry had expanded from contact lenses to COVID-19 diagnostic kits and drugs after the pandemic broke out. The major reasons for import refusals were non-compliance with the Predicate Device and Drugs Act and non-approval by the FDA for products and facilities. On the other hand, the unit rejection rate (URR) of major items in the Korean healthcare and life sciences industry was measured higher than the industry average. The results therefore showed a low level of response to U.S. import refusals. The results of the analysis of reasons for import refusals by item according to FDA violation codes were as follows. First of all, the main violation for contact lenses and COVID-19 diagnostic kits corresponded to misbranding. This was often due to the fact that Korean companies did not provide the relevant notices and information required by the FDA. Many cases also failed to demonstrate a substantial equivalency compared to predicate devices already on the market. On the other hand, applications for new unapproved drugs were not accepted as they had yet to pass relevant regulations that would prove their safety and efficacy. In conclusion, import refusals for the Korean healthcare and life sciences industry were found to be closely related to technical barriers to trade (TBT).

• Journal of Marine Life Science
• /
• v.8 no.2
• /
• pp.166-177
• /
• 2023

The giant freshwater prawn (Macrobrachium rosenbergii) suffers economic losses in aquaculture facilities due to problems such as poor body color and carapace weakness. While this species is farmed on an animal-based diet, in the wild it consumes a detritus diet with a high proportion of plant matter. The plant matter they consume in the wild is not only a source of basic nutrients, but also carotenoids, which are responsible for body color. Korean goldenbell (Forsythia koreana) is a flowering tree widely distributed in Korea, and its leaves contain carotenoids comparable to yellow carrots. In this study, we investigated the effects of feeding Forsythia leaves to M. rosenbergii on their body color and health. The experimental diets were 100% commercial feed (control), CON, 80% commercial feed plus 20% Forsythia leaf powder, FP, and 80% commercial feed plus 20% unprocessed Forsythia leaves, FL, and each diet was fed to juvenile prawn with an average weight of 1.1 ± 0.2 g for 10 weeks. In terms of body color, the CON prawn were consistently clear ivory in color, while the FP and FL prawn changed from blue to dark brown as the days of rearing progressed. Survival and growth were not significantly different between CON and FP or FL. Histological comparison of the hepatopancreas revealed that the vacuole size of B cells, the constituent cells of the hepatopancreatic tubule, was significantly larger in FP and FL compared to CON. The vacuoles of B cells are responsible for the absorption and digestion of nutrients, suggesting that the supply of Forsythia leaves may have had a positive effect on the health of the M. rosenbergii. The above results show that the use of Forsythia leaves in the aquaculture of M. rosenbergii can be expected to improve body color and health without inhibiting growth.

• Analytical Science and Technology
• /
• v.36 no.6
• /
• pp.267-280
• /
• 2023

This study investigated the contents of Pb, Cd, As, and Hg for 4333 samples with 2 09 types of herbal medicines distributed in Seoul area from 2019 to 2021, and evaluated risk assessment according to medicinal part used and origin. The contents of heavy metals were analyzed by inductively coupled plasma mass spectrometry (ICP-MS) and mercury analyzer. The average contents (mg/kg) of heavy metals by medicinal parts were 0.123 to 1.290 for Pb, 0.018 to 0.131 for Cd, 0.034 to 0.290 for As, and 0.003 to 0.015 for Hg. The contents of Pb were higher in Leaves and Whole Herbs (above-ground part) than underground part (Radix & Rhizoma) (ANOVA-test, p < 0.05). The contents of Cd were high in Leaves, Radix & Rhizoma, and Stems & Woods (ANOVA-test, p <0 .05), and exceeded regulatory limits in various types. Levels of Pb, Cd concentrations exceeding regulatory limits were observed in 8, 22 samples (8, 14 types). No sample exceeded regulatory limits of As and Hg. In the comparison between countries of origin, the contents of Cd, As, and Hg were high in imported herbal medicines (t-test, p < 0.05). As a result of the risk assessment, except for Thujae Orientalis Folium and Spirodelae Herba, the MOE values of Pb were all 1 or more, and most samples were safe. The Hazard Index (HI) for Cd, As, and Hg were evaluated to be less than 100 % even if the risk (%) of each heavy metal was added, and the risk from taking herbal medicines was evaluated to be safe.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.27 no.6
• /
• pp.120-129
• /
• 2023

To evaluate the vertical loads on railway bridges, conventional load tests are typically conducted. However, these tests often entail significant costs and procedural challenges. Railway conditions involve nearly identical load profiles due to standardized rail systems, which may appear straightforward in terms of load conditions. Nevertheless, this study aims to validate load tests conducted under operational train conditions by comparing the results with those obtained from conventional load tests. Additionally, static and dynamic structural behaviors are extracted from the measurement data for evaluation. To ensure the reliability of load testing, this research demonstrates feasibility through comparisons of existing measurement data with sensor attachment locations, train speeds, responses between different rail lines, tendency analysis, selection of impact coefficients, and analysis of natural frequencies. This study applies to the Dongho Railway Bridge and verifies the applicability of the proposed method. Ten operational trains and 44 sensors were deployed on the bridge to measure deformations and deflections during load test intervals, which were then compared with theoretical values. The analysis results indicate good symmetry and overlap of loads, as well as a favorable comparison between static and dynamic load test results. The maximum measured impact coefficient (0.092) was found to be lower than the theoretical impact coefficient (0.327), and the impact influence from live loads was deemed acceptable. The measured natural frequencies approximated the theoretical values, with an average of 2.393Hz compared to the calculated value of 2.415Hz. Based on these results, this paper demonstrates that for evaluating vertical loads, it is possible to measure deformations and deflections of truss railway bridges through load tests under operational train conditions without traffic control, enabling the calculation of response factors for stress adjustments.

• Korean Journal of Remote Sensing
• /
• v.39 no.5_3
• /
• pp.949-965
• /
• 2023

In this study, we propose a method to monitor the surface area of agricultural reservoirs in South Korea using Sentinel-1 synthetic aperture radar images and the deep learning model, Swin Transformer. Utilizing the Google Earth Engine platform, datasets from 2017 to 2021 were constructed for seven agricultural reservoirs, categorized into 700 K-ton, 900 K-ton, and 1.5 M-ton capacities. For four of the reservoirs, a total of 1,283 images were used for model training through shuffling and 5-fold cross-validation techniques. Upon evaluation, the Swin Transformer Large model, configured with a window size of 12, demonstrated superior semantic segmentation performance, showing an average accuracy of 99.54% and a mean intersection over union (mIoU) of 95.15% for all folds. When the best-performing model was applied to the datasets of the remaining three reservoirsfor validation, it achieved an accuracy of over 99% and mIoU of over 94% for all reservoirs. These results indicate that the Swin Transformer model can effectively monitor the surface area of agricultural reservoirs in South Korea.

• Korean Journal of Remote Sensing
• /
• v.39 no.5_3
• /
• pp.1009-1029
• /
• 2023

Urban trees play a vital role in urban ecosystems,significantly reducing impervious surfaces and impacting carbon cycling within the city. Although previous research has demonstrated the efficacy of employing artificial intelligence in conjunction with airborne light detection and ranging (LiDAR) data to generate urban tree information, the availability and cost constraints associated with LiDAR data pose limitations. Consequently, this study employed freely accessible, high-resolution multispectral satellite imagery (i.e., Sentinel-2 data) to estimate fractional tree canopy cover (FTC) within the urban confines of Suwon, South Korea, employing machine learning techniques. This study leveraged a median composite image derived from a time series of Sentinel-2 images. In order to account for the diverse land cover found in urban areas, the model incorporated three types of input variables: average (mean) and standard deviation (std) values within a 30-meter grid from 10 m resolution of optical indices from Sentinel-2, and fractional coverage for distinct land cover classes within 30 m grids from the existing level 3 land cover map. Four schemes with different combinations of input variables were compared. Notably, when all three factors (i.e., mean, std, and fractional cover) were used to consider the variation of landcover in urban areas(Scheme 4, S4), the machine learning model exhibited improved performance compared to using only the mean of optical indices (Scheme 1). Of the various models proposed, the random forest (RF) model with S4 demonstrated the most remarkable performance, achieving R² of 0.8196, and mean absolute error (MAE) of 0.0749, and a root mean squared error (RMSE) of 0.1022. The std variable exhibited the highest impact on model outputs within the heterogeneous land covers based on the variable importance analysis. This trained RF model with S4 was then applied to the entire Suwon region, consistently delivering robust results with an R² of 0.8702, MAE of 0.0873, and RMSE of 0.1335. The FTC estimation method developed in this study is expected to offer advantages for application in various regions, providing fundamental data for a better understanding of carbon dynamics in urban ecosystems in the future.

• Journal of Nutrition and Health
• /
• v.56 no.5
• /
• pp.483-495
• /
• 2023

Purpose: The purpose of this study was to determine whether the dietary quality of food consumed by the elderly is influenced by the consumption of healthy functional foods using Nutrition Quotients for the Elderly (NQ-E). Methods: The study subjects were 250 adults aged ≥ 65 living in Seoul or Gyeonggi-do. Those who had consumed healthy functional food for more than 2 weeks within the previous year were classified as healthy functional food consumers, and the quality of their meals was evaluated using the NQ-E. Statistical analysis was performed using SAS 9.4, and sex and age-associated differences were adjusted before comparing differences based on healthy functional food intake. Results: The average age of the study subjects was 70.8. The scores for each area and the Nutrition Quotient (NQ) score were as follows: balance 43.3 points, moderation 56.7 points, practice 65.7 points, and NQ 52.5 points. When comparing differences according to healthy functional food intake status, healthy functional food consumers had significantly higher balance and NQ scores than non-consumers. When considering each NQ item score, healthy functional food consumers had significantly higher scores than non-consumers for fruit, fish and seafood, eggs, nuts, and whole grain rice, and a higher score for effort to maintain a healthy diet. Conclusion: Dietary quality as assessed by Nutrition Quotients for the Elderly was better for healthy functional food consumers than non-consumers.

• Korean Journal of Poultry Science
• /
• v.50 no.4
• /
• pp.293-301
• /
• 2023

This study aimed to investigate the effects of seasonal differences and crating densities on the behavior, surface temperature, and respiration rate of broilers during transportation. A total of 600 broilers aged 35 days were divided into 10 treatment groups based on five crating densities (10.3, 11.5, 12.8, 14.1, 15.4 birds/m²) with two seasons (i.e. summer and winter) to give six replicates. Broilers were allocated to the crates (1.00 m × 0.78 m × 0.26 m) in a randomized design. The transportation distance was 20 km for 40 minutes (average 30-50 km/h) during the early morning. The results revealed that standing behavior of broilers during transportation was shown more frequently (P<0.05) in winter. Moreover, sitting behavior was significantly shown (P<0.05) more at densities of 14.1 birds/m² and 15.4 birds/m² compared to other treatments. Standing behavior was significantly shown more (P<0.05) in winter and lower crating density. Changes in broilers surface temperature after transportation were higher (P<0.05) in summer. However, surface temperature after transportation was not affected (P>0.05) by crating density, and interaction between seasonal differences and crating density. Respiration rate was higher (P<0.05) in summer. But there were no effects (P>0.05) on respiration rate based on crating density, and interaction between seasonal differences and crating density. Based on the results of the present study, broilers transportation is recommended in winter rather than summer to minimize the climatic stress, but further research is required to identify proper crating densities to improve the broilers welfare during transportation.