• Journal of Food Hygiene and Safety
• /
• v.39 no.3
• /
• pp.288-298
• /
• 2024

This study aimed to investigate the amino acid content, fatty acid composition, total flavonoid and phenol contents, and antioxidant activities of Prunus yedoensis Matsum. bark extracts using various extraction solvents. Through amino acid analysis, 13 amino acids were detected in extracts obtained using hot water, 30% ethanol, and 70% ethanol. The major amino acids were identified as aspartic acid, arginine, and proline, and the total amino acid content was 0.17%, 0.16%, and 0.09%, respectively. Fatty acid analysis showed a saturated fatty acid (SFA) ratio of 62.7-66.7% in extracts obtained using hot water, 30% ethanol, and 70% ethanol, with the primary fatty acid identified as palmitic acid. The total flavonoid and polyphenol contents were 727.70-769.87 mg quercetin equivalent (QE)/ g and 309.24-348.09 mg gallic acid equivalent (GAE)/g, respectively, in extracts obtained using hot water, 30% ethanol, and 70% ethanol extracts. Measurements of antioxidant activity confirmed that extracts obtained using hot water, 30% ethanol, and 70% ethanol extracts increased the antioxidant effect in 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity, 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical scavenging activity, and ferric reducing antioxidant power (FRAP) in a concentration-dependent manner. A high correlation was observed between the total flavonoid content, total polyphenol content, and antioxidant activities of the extracts. This study provides data and novel insights for the development of functional food materials using P. yedoensis Matsum. bark extracts.

• Journal of Nutrition and Health
• /
• v.57 no.5
• /
• pp.481-495
• /
• 2024

Purpose: Malnutrition is a prevalent condition leading to a high risk of morbidity and mortality in hemodialysis patients. This study examined the malnutrition risk and the influence of diabetes on clinical characteristics, nutritional knowledge, and dietary intake in chronic kidney disease (CKD) patients on hemodialysis. Methods: Seventy-six patients (37 with diabetes and 39 without diabetes) enrolled in an internal medicine hemodialysis unit in Seoul were examined. A questionnaire, anthropometric, biochemical, and three-day dietary record data were collected. The nutritional risk was screened by the Patient-Generated Subjective Global Assessment (PG-SGA), compared to the Global Leadership Initiative on Malnutrition (GLIM). Results: The overall prevalence of malnutrition was 56.6% and 27.6% by PG-SGA and GLIM, respectively, showing the low sensitivity (34.9%) and agreement (kappa = 0.16) of GLIM compared to the PG-SGA. CKD patients with diabetes had a higher malnutrition risk and more comorbidities than those without diabetes (p < 0.05). More than 60% of patients had anemia and hypocholesterolemia. Despite the fair level of nutritional knowledge, the intakes of energy per ideal body weight, calcium, vitamin A, vitamin B₆, folate, and vitamin C were below the nutritional guidelines for hemodialysis patients in more than 70% of the patients. When stratified according to sex, female patients showed marked differences, with lower energy, protein, fat, calcium, phosphorus, vitamin B₂, folate, and vitamin B₁₂ intakes in diabetic patients compared to non-diabetic patients. The most challenging aspect of diet therapy for hemodialysis patients was achieving the appropriate protein intake for diabetic patients and restricting phosphorus intake for non-diabetic patients (p < 0.05). Conclusion: These findings suggest that attention should be paid to the malnutrition of diabetic hemodialysis patients. Individualized nutritional counseling and management are needed for the nutritional care of hemodialysis patients to address the nutritional deficiency.

• Allergy, Asthma & Respiratory Disease
• /
• v.12 no.4
• /
• pp.170-176
• /
• 2024

Atopic dermatitis is one of the most common chronic skin inflammatory diseases in children. Appropriate treatment is difficult due to chronic course with frequent exacerbations, especially in children. Treatment requires caution due to a lack of safety data and information regarding the long-term prognosis of management strategies. The Korean Academy of Pediatric Allergy and Respiratory Disease (KAPARD) published the Atopic Dermatitis Treatment Guidelines in 2008, which has been used to direct atopic dermatitis treatment. Accumulating evidence suggests that the guidelines need to be updated regarding bathing methods (duration of bath, temperature, etc.), wet wrap therapy, and topical treatments in line with environmental changes over time and changes in the management strategies of atopic dermatitis. This KAPARD guidelines for atopic dermatitis applied an adaptation based on a systematic review and analysis of selected literature. They are intended to support front-line doctors treating pediatric and adolescent patients with atopic dermatitis in making reasoned, safe, effective empirical treatment decisions. In Part I of the KAPARD guidelines for atopic dermatitis, we included evidence-based skin care management strategies and topical treatment options.

• Korean Journal of Environmental Biology
• /
• v.42 no.3
• /
• pp.311-324
• /
• 2024

This study conducted field surveys targeting benthic macroinvertebrates and fish in Andong Dam and Yeongsan River, with the specific aim of analyzing bluegill stomach contents. Bluegills in Andong Dam ranged from 40-220 mm, with 93.0% between 80-220 mm, while those in Yeongsan River ranged from 50-210 mm, with 71.4% between 120-210 mm. The highest feeding rates in both sites were for Chironomidae spp., with findings of 72.6% in Andong Dam and 80.4% in Yeongsan River. In Andong Dam, H. nipponensis and Baetidae sp. were also significant at 17.5% and 6.5%, respectively, while in Yeongsan River, Baetidae sp. (7.5%) and Hymenoptera sp. were the next most common at 3.8%. The EI index showed that bluegills generally avoided H. nipponensis and S. tsuchigae (-0.373 and -0.975) whereas they preferred Chironomidae spp.(0.759, 0.892) and Baetidae sp.(0.723). The parameter b values of the total length-weight relationship of bluegill were calculated as 3.452 in Andong Dam and 3.449 in the Yeongsan River, respectively. The slope values of the condition factor were 0.0067 in Andong Dam and 0.0065 in the Yeongsan River. Both values were positive, indicating that the nutritional status of bluegill was good. Aquatic insects constituted the primary food source, particularly in Yeongsan River. Feeding patterns did not significantly differ by habitat orientation groups, but Yeongsan River bluegills consumed more diverse food sources. In Andong Dam, larger bluegills likely consume food sources with larger biomass, while Yeongsan River's diverse and abundant food sources support opportunistic feeding tailored to the water ecological environment.

• Korean Journal of Environmental Biology
• /
• v.42 no.3
• /
• pp.345-362
• /
• 2024

Habitat environment and food sources of fish, benthic macroinvertebrates, and brown trout(Salmo trutta) downstream of Soyang River Dam were analyzed. Water temperature at the site where brown trout was identified ranged from approximately 12.4 to 13.4℃, confirming that this environment could provide an optimal water temperature for the growth of brown trout. Most of the riverbed structures at this site had a high proportion of cobble and pebble substrates. Brown trout constituted less than 5% of the total fish population, more abundant in the upstream. The total length-weight relationship of brown trout showed a parameter b value of 3.234, with the condition factor(K) increasing with length. Dominant benthic macroinvertebrates were Limnodrilus gotoi and Chironomidae spp. (non-red type). Stomach content analysis indicated that brown trout primarily consumed aquatic insects (R.A., 73.8%), non-insects (R.A., 23.3%), ground insects (R.A., 2.7%), and fish (R.A., 0.2%, TL: 246 mm). Correlation analysis revealed a positive relationship between total length and species preferring flowing water(p<0.05) and a negative relationship of total length with species favoring low-flow, sandy habitats (p<0.05). Larger brown trout showed active feeding behavior and resilience to flow speed and riverbed structure. The primary food source for the largest brown trout(TL: 246 mm) was Hypomesus nipponensis. Future analyses should include brown trout with a total length of 30 cm or more. Given that samples were limited, comprehensive population management will require ongoing research.

• Korean Journal of Remote Sensing
• /
• v.40 no.4
• /
• pp.351-361
• /
• 2024

Satellite imagery contains various elements such as clouds, cloud shadows, and terrain shadows. Accurately identifying and eliminating these factors that complicate satellite image analysis is essential for maintaining the reliability of remote sensing imagery. For this reason, satellites such as Landsat-8, Sentinel-2, and Compact Advanced Satellite 500-1 (CAS500-1) provide Usable Data Masks(UDMs)with images as part of their Analysis Ready Data (ARD) product. Precise detection of clouds and their shadows is crucial for the accurate construction of these UDMs. Existing cloud and their shadow detection methods are categorized into threshold-based methods and Artificial Intelligence (AI)-based methods. Recently, AI-based methods, particularly deep learning networks, have been preferred due to their advantage in handling large datasets. This study aims to analyze the applicability of constructing UDMs for high-resolution satellite images through deep learning-based cloud and their shadow detection using open-source datasets. To validate the performance of the deep learning network, we compared the detection results generated by the network with pre-existing UDMs from Landsat-8, Sentinel-2, and CAS500-1 satellite images. The results demonstrated that high accuracy in the detection outcomes produced by the deep learning network. Additionally, we applied the network to detect cloud and their shadow in KOMPSAT-3/3A images, which do not provide UDMs. The experiment confirmed that the deep learning network effectively detected cloud and their shadow in high-resolution satellite images. Through this, we could demonstrate the applicability that UDM data for high-resolution satellite imagery can be constructed using the deep learning network.

• Journal of Bio-Environment Control
• /
• v.32 no.4
• /
• pp.384-395
• /
• 2023

Since transpiration plays a key role in optimal irrigation management, knowledge of the irrigation demand of crops like tomatoes, which are highly susceptible to water stress, is necessary. One way to determine irrigation demand is to measure transpiration, which is affected by environmental factor or growth stage. This study aimed to estimate the transpiration amount of tomatoes and find a suitable model using mathematical and deep learning models using minute-by-minute data. Pearson correlation revealed that observed environmental variables significantly correlate with crop transpiration. Inside air temperature and outside radiation positively correlated with transpiration, while humidity showed a negative correlation. Multiple Linear Regression (MLR), Polynomial Regression model, Artificial Neural Network (ANN), Long short-term Memory (LSTM), and Gated Recurrent Unit (GRU) models were built and compared their accuracies. All models showed potential in estimating transpiration with R² values ranging from 0.770 to 0.948 and RMSE of 0.495 mm/min to 1.038 mm/min in the test dataset. Deep learning models outperformed the mathematical models; the GRU demonstrated the best performance in the test data with 0.948 R² and 0.495 mm/min RMSE. The LSTM and ANN closely followed with R² values of 0.946 and 0.944, respectively, and RMSE of 0.504 m/min and 0.511, respectively. The GRU model exhibited superior performance in short-term forecasts while LSTM for long-term but requires verification using a large dataset. Compared to the FAO56 Penman-Monteith (PM) equation, PM has a lower RMSE of 0.598 mm/min than MLR and Polynomial models degrees 2 and 3 but performed least among all models in capturing variability in transpiration. Therefore, this study recommended GRU and LSTM models for short-term estimation of tomato transpiration in greenhouses.

• Economic and Environmental Geology
• /
• v.57 no.5
• /
• pp.577-592
• /
• 2024

This study presents the synthesis and characterization of MgAl-layered double hydroxide (LDH)/rice husk hydrochar (RHH) nanocomposites (MgAl-LDH/RHHs) via an in situ one-pot hydrothermal route at 150 ℃, utilizing Mg:Al molar ratio of 2:1 for arsenic remediation. The formation of MgAl-LDH/RHHs and their physicochemical properties were evaluated under varying hydrothermal aging times systematically. Prolonging the aging period to 12 hrs significantly enhanced the crystallinity and crystal size of the LDHs, resulting in a 3D hierarchical structure with the highest specific surface area (27.98 m²/g) formed on the hydrochar surface. The hexagonal crystal structure (d₀₀₃ = 0.8246 nm) was characterized by a rhombohedral unit cell with lattice parameters a = 0.3049 nm and c = 2.4738 nm, and a high positive charge density of 4.284 e/nm². These properties were found to be favorable for the sorption of arsenic oxyanions. Batch adsorption experiments were conducted to assess the potential of MgAl-LDH/RHHs-12h for the remediation of arsenic-contaminated soils. The original soil sample (CY) was mechanically sieved into fine-grained (CYF, < 75 ㎛) and coarse-grained (CYC, 75 ㎛-2 mm) fractions. When these soil samples were reacted with deionized water, arsenate was identified as the dissolved arsenic species, with concentrations of 2.85 mg/L for CY, 4.02 mg/L for CYF, and 2.55 mg/L for CYC, respectively. Kinetic sorption experiments, conducted at pH 5.0 and 8.0 in the presence and absence of 0.1 M NaCl as a background electrolyte, revealed that arsenic sorption onto MgAl-LDH/RHHs-12h was inhibited at pH 8 in the presence of NaCl. These findings suggest that effective arsenic sorption requires low pH conditions with minimal background electrolytes in soils.

• The Journal of Korean Society for Radiation Therapy
• /
• v.29 no.2
• /
• pp.101-108
• /
• 2017

Purpose: The proton used in proton therapy has a characteristic of giving a small dose to the normal tissue in front of the tumor site while forming a Bragg peak at the cancer tissue site and giving up the maximum dose and disappearing immediately. It is very important to verify the proton arrival position. In this study, we used the off-line PET CT method to measure the distribution of positron emitted from nucleons such as 11C (half-life = 20 min), 150 (half-life = 2 min) and 13N The range and distal falloff point of the proton were verified by measurement. Materials and Methods: In the IEC 2001 Body Phantom, 37 mm, 28 mm, and 22 mm spheres were inserted. The phantom was filled with water to obtain a CT image for each sphere size. To verify the proton range and distal falloff points, As a treatment planning system, SOBP were set at 46 mm on 37 mm sphere, 37 mm on 28 mm, and 33 mm on 22 mm sphere for each sphere size. The proton was scanned in the same center with a single beam of Gantry 0 degree by the scanning method. The phantom was scanned using PET-CT equipment. In the PET-CT image acquisition method, 50 images were acquired per minute, four ROIs including the spheres in the phantom were set, and 10 images were reconstructed. The activity profile according to the depth was compared to the dose profile according to the sphere size established in the treatment plan Results: The PET-CT activity profile decreased rapidly at the distal falloff position in the 37 mm, 28 mm, and 22 mm spheres as well as the dose profile. However, in the SOBP section, which is a range for evaluating the range, the results in the proximal part of the activity profile are different from those of the dose profile, and the distal falloff position is compared with the proton therapy plan and PET-CT As a result, the maximum difference of 1.4 mm at the 50 % point of the Max dose, 1.1 mm at the 45 % point at the 28 mm sphere, and the difference at the 22 mm sphere at the maximum point of 1.2 mm were all less than 1.5 mm in the 37 mm sphere. Conclusion: To maximize the advantages of proton therapy, it is very important to verify the range of the proton beam. In this study, the proton range was confirmed by the SOBP and the distal falloff position of the proton beam using PET-CT. As a result, the difference of the distally falloff position between the activity distribution measured by PET-CT and the proton therapy plan was 1.4 mm, respectively. This may be used as a reference for the dose margin applied in the proton therapy plan.

• Korean Business Review
• /
• v.21 no.2
• /
• pp.137-170
• /
• 2008

This study is presenting the logistics strategy in the international logistics markets which makes competition and corporation among north-east Asian countries to establishing the multi-pass Eurasian railroads. The countries located in north-east area of Eurasia like China, Japan, Russia and Korea are paying higher costs and disutility to the transportations and communications due to repeated conflicts and confrontations causes from the politic problems. They are being used surface transportation for most of all logistics between Europe and Asia except special merchandises because of characteristic of cargo to be air, the Silk Road remains vestige only which was main logistic passage to this area since BC. So far the Trans-Siberian Railway is being used by Russia mostly as north of Eurasian transport because of difficulties of service. The Trans-China Railway built in 1992 is not accomplishing as a international logistic passages. It is expected to take a long lead time because of characteristic of resource development and poor logistic infrastructure to the countries like Uzbekistan, double landlocked country, Mongolia and Azerbaijan, the countries do not be adjacent to the sea, even they have great economic jump-up plans through the development of their own resources. The Shanghai Cooperation Organization(SCO) start to sail officially in 2001 is constructed with China, Russia, Tadzhikistan, Kyrgyzstan, Kazakhstan and Uzbekistan as regular members of 6 countries and Mongolia, India, Pakistan, Afghanistan and Iran as observers 5 countries. It is started as a military alliance to protect terror, but now, it is expended to cooperate with the traffic, transportation, trade and share of energies. The Russia is doing their best to activate TSR as a government target to developnorth area equivalently, and economic develop of far-east Siberia. And also it is agreed provisionally to improve and repair of rail road between Nahjin and Hassan to connect TSR and TKR( Trans-Korea Railroad) by Russia, North Korea and South Korea with Russian's aggressive efforts. The development plan of this area is over lapped with GTI(Greater Tumen Initiative) promoted by UNDP, and is a cooperated project by 5 countries of South Korea, Mongolia, China, Russia and North Korea, subject to review the appropriation of energy, tour, environment, rail road connection between Mongolia and China and establishing a ferry route to north-east Asia. It is Japanese situation to pay attention to Russia and China even they have been supplying large-scope of infrastructure in Mongol area without any charges, target to get East Asia Main Rail Road to connect Mongolia and Zalubino of Russia. In case of the program for the Denuclearization of North Korea is not creeping, it will be accelerated to connect the TKR and TSR, TKR and TCR by somehow attending United States, including developing program promoted by UN ESCAP. As the result, Korean peninsular will continue the central role of competition and cooperation as in the past, now and future of north-east Asia, as of geographical-economics and geographical-politics whether it is requested or not wanted by neighbor countries.