Objectives This study was written to report Korean medicine treatment for obese children. Methods This study included obese children who visited the Department of Korean Pediatrics at the Daejeon Korean Medicine Hospital of Daejeon University from September 18, 2020 to March 30, 2023. Height and weight at the first visit and on the day of the last herbal medicine termination were measured, and changes before and after treatment were observed. Liver function tests were performed before and after the treatment. Results Of the nine obese children who received Korean medicine treatment, five were male (55.6%) and four, female (44.4%). In term of age, there were five 8-year-olds (55.6%), two 6-year-olds, and two 10-year-olds (22.2%); the patients' mean age was 8.00 ± 1.414 years. The treatment period was more than three months, and the average treatment period was 177.11 ± 106.013 days. After treatment with Korean medicine, the patients' heights increased, and the body mass index (BMI) percentile and obesity decreased. Liver levels were maintained within the normal range without abnormal liver function after herbal medicine treatment, and no adverse reactions were observed during Korean medicine treatment. As a result of the pattern identification analysis, gastrointestinal damp-heat type and yin deficiency with internal heat were reported at a high frequency. Conclusions Korean medical treatment can reduce the degree of obesity without hindering the growth of childhood obesity.
Dihaploid lines derived from the another of the $F_1$ of single cross, SC72 $\times$ Hicks (Nicotiana tabacum L.) were estimated the variation, heritablities, genetic correlations and path-co-efficients on agronomic characters and chemical compositions. Dinaploids exhibited reduced vigor and growth when comparecd with the mid-parent value but had increased nicotine contents, and the range of dihaploids characters were deviated more than that of their parents. Heritabilities of days to flowering, leaves per plant, nicotine. contents, leaf size and plant height appeared high value, and the yield, value per kg. and reducing sugar contents were low. There were positive genetic correlations between yield, and value per kg., leaf width, leaves per plant and reducing sugar contents and negative genetic correlations appeared between nicotine contents and the other characters except for index of leaf shape. Path-coefficient analysis of genotypic correlation coefficients showed that leaves per plant and leaf width lave a high direct effect, and plant height and days to flowering have a high indirect effect on yield, respectively.
Communications for Statistical Applications and Methods
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v.30
no.2
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pp.119-133
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2023
With the rapid growth of the economy and fossil fuel consumption, the concentration of air pollutants has increased significantly and the air pollution problem is no longer limited to small areas. We conduct statistical analysis with the actual data related to air quality that covers the entire of South Korea using R and Python. Some factors such as SO2, CO, O3, NO2, PM10, precipitation, wind speed, wind direction, vapor pressure, local pressure, sea level pressure, temperature, humidity, and others are used as covariates. The main goal of this paper is to predict air quality index (AQI) spatio-temporal data. The observations of spatio-temporal big datasets like AQI data are correlated both spatially and temporally, and computation of the prediction or forecasting with dependence structure is often infeasible. As such, the likelihood function based on the spatio-temporal model may be complicated and some special modelings are useful for statistically reliable predictions. In this paper, we propose several methods for this big spatio-temporal AQI data. First, random effects with spatio-temporal basis functions model, a classical statistical analysis, is proposed. Next, neural networks model, a deep learning method based on artificial neural networks, is applied. Finally, random forest model, a machine learning method that is closer to computational science, will be introduced. Then we compare the forecasting performance of each other in terms of predictive diagnostics. As a result of the analysis, all three methods predicted the normal level of PM2.5 well, but the performance seems to be poor at the extreme value.
Nguyen Thu Uyen;Dao Van Cuong;Pham Dieu Thuy;Luu Hong Son;Nguyen Thi Ngan;Nguyen Hung Quang;Nguyen Duc Tuan;In-ho Hwang
Food Science of Animal Resources
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v.43
no.4
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pp.563-579
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2023
Myogenesis and adipogenesis are the important processes determining the muscle growth and fat accumulation livestock, which ultimately affecting their meat quality. Hanwoo is a popular breed and its meat has been exported to other countries. The objective of this study was to compare the myogenesis and adipogenesis properties in satellite cells, and meat quality between Hanwoo and Vietnamese yellow cattle (VYC). Same 28-months old Hanwoo (body weight: 728±45 kg) and VYC (body weight: 285±36 kg) steers (n=10 per breed) were used. Immediately after slaughter, tissue samples were collected from longissimus lumborum (LL) muscles for satellite cells isolation and assays. After 24 h post-mortem, LL muscles from left carcass sides were collected for meat quality analysis. Under the same in vitro culture condition, the proliferation rate was higher in Hanwoo compared to VYC (p<0.05). Fusion index was almost 3 times greater in Hanwoo (42.17%), compared with VYC (14.93%; p<0.05). The expressions of myogenesis (myogenic factor 5, myogenic differentiation 1, myogenin, and myogenic factor 6)- and adipogenesis (peroxisome proliferator-activated receptor gamma)-regulating genes, and triglyceride content were higher in Hanwoo, compared with VYC (p<0.05). Hanwoo beef had a higher intramuscular fat and total monounsaturated fatty acids contents than VYC beef (p<0.05). Whilst, VYC meat had a higher CIE a* and total polyunsaturated fatty acids content (p<0.05). Overall, there was a significant difference in the in vitro culture characteristics and genes expression of satellite cells, and meat quality between the Hanwoo and VYC.
The purpose of this study was to determine conditions of dining behaviors, sleep patterns, rates of obesity and intake of snacks and self-purchased snacks deriving from the lack of sleep in academic high school students. The anthropometric characteristics, height and weight (p<0.05), and the distribution of obesity index (p<0.001) showed significant differences between males and females. Dining scores for both male and female students decreased as the frequency of day time napping increased. Although, there was no significant difference in obesity-related "lack of sleep" between males and females, the rate of "being overweight" was slightly higher in female students who indicated that they experienced a "lack of sleep" than female students that indicated "no lack of sleep". While, whether intake of snacks and self-purchased snacks or not, day time napping frequency affected not to male students. However, the frequency of day time napping among females who ate snacks one or more times a day was higher (p<0.05), and a greater frequency of eating self-purchased snacks correlated with a greater frequency of day napping (p<0.01). Consequently, lack of sleep was identified as one of the factors increasing the frequency of intake of snacks and self-purchased snacks in females. Thus, this study suggests that dining behavior guidance should be given along with systematic and continual nutrition education so that the intake of snacks and self-purchased snacks can be moderated to optimize the physical and mental growth and development of adolescents.
International Journal of Computer Science & Network Security
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v.22
no.1
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pp.69-76
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2022
At the current stage of globalization and European integration of Ukraine, the aspects related to the effective fight against corruption in the system of economic security of our country are receiving more and more attention, as they become a prerequisite for continuing reforms based on international funding. In order to consider this issue and solve this problem, the necessary step is to develop and implement real mechanisms of the system for detecting and preventing corrupt behavior, which are based on international anti-corruption standards. The leading component of this system is the management of corruption risks in the system of economic security in order to identify them and implement measures to reduce them. This study analyzes the corruption perception index in Ukraine in recent years, which showed a positive, albeit somewhat slow dynamics of its growth, indicating a gradual increase in overcoming corruption through the introduction of a number of anti-corruption measures and changes. It is proved that the current stage of socio-economic development of the country contributes to strengthening the processes of combating corruption and preventing corruption risks, creating an effective and efficient anti-corruption system of the state. The concept of "corruption" was studied, it was found that in the field of public administration it is considered from different positions and is closely related to the concept of "corruption risks". The essence and features of corruption risks are studied, the preconditions of their occurrence are formulated, the relationship between the causes of corruption risks and economic security in the field of public authority has been established. The system of corruption risk management is considered and its components are characterized. It is proposed to increase the effectiveness of anticorruption policy through the implementation of measures aimed at investigating the causes of corruption risks, as well as developed effective and effective means of reducing corruption risks within the system of economic security
This study applied a real-time IoT (Internet of Things) environmental monitoring system to wooden cultural heritages (WCHs) located in suburbs and forests in Korea. It automated the graphs of seasonal Temperature (T) and relative humidity (RH) changes inside the heritage structures and seasonal Performance Index (PI) values. While utilizing line graphs of the existing T and RH change trends and a bar graph expressing the PI values, this study examined the current status of the conservation environment inside the WCHs throughout the year and its diagnosis. Consequently, at higher latitudes, the organic cultural heritage repeatedly experienced large T fluctuations, and the risk of physical and chemical degradation of the materials was greater. However, the RH showed significant seasonal differences, even within the same latitude, indicating that the impact of latitude was not significant. Therefore, the staff in charge must manage RH by considering the surrounding environmental conditions and adjusting the internal environment of the structures. The PI values for the year-round T and RH inside the heritages were confirmed to only be a maximum of approximately 60% of the environmental suitability for conservation throughout the year, depending on the season. The relationship between the germination and growth potential period of xerophilic fungi and the monthly internal temperature and humidity in five heritages located at different latitudes was analyzed. As a result, we could thus determine that four particular months of the year (June-September) represent the periods with the highest risk of damage from xerophilic fungi in the country, regardless of latitude.
The purpose of this study was to examine the changes of body composition and aging-related hormones by rhythmic exercise in elderly women. The subjects in this study were 20 olders living in a rural community, >60 years of age and were performed rhythmic exercise program during 12 weeks. The measurement of the body composition, body mass (t=3.125, p=.006), body mass index (t=3.225, p=0.004), body fat mass (t=3.782, p=0.001), waist-to-hip ratio (t=3.867, p=0.001) were significant difference after exercise program, but had no effect on lean body mass. Also, growth hormone (t=-2.221, p=0.039) and somatomedin-C (t=-9.186, p=0.000) were significantly increased after rhythmic exercise, however, rhythmic exercise had no effect on DHEA-S. These results suggest that rhythmic exercise appeared to effect of control on body composition and some aging-related hormones in elderly women.
Proceedings of the Korean Society of Crop Science Conference
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2022.10a
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pp.75-75
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2022
Traditional agriculture mostly focused on activity in the field, but current agriculture faces problems such as reduction of agricultural inputs, labor shortage and so on. Accordingly, traditional agricultural experiments generally considered the simple treatment effects, but current agricultural experiments need to consider the several and complicate treatment effects. To analyze such several and complicate treatment effects, data collection has the first priority. Remote sensing is a quite effective tool to collect information in agriculture, and recent easier availability of UAVs (Unmanned Aerial Vehicles) enhances the effectiveness. LAI (Leaf Area Index) is one of the most important information for evaluating the condition of crop growth. In this study, we utilized UAV with multispectral camera to evaluate plant-based LAI of sweetcorn in a small-scale field experiment and discussed the feasibility of a new experimental design to analyze the several and complicate treatment effects. The plant-based SR measured by UAV showed the highest correlation coefficient with LAI measured by a canopy analyzer in 2018 and 2019. Application of linear mix model showed that plant-based SR data had higher detection power due to its huge number of data although SR was inferior to evaluate LAI than the canopy analyzer. The distribution of plant-based data also statistically revealed the border effect in treatment plots in the traditional experimental design. These results suggest that remote sensing with UAVs has the advantage even in a small-scale experimental plot and has a possibility to provide a new experimental design if combined with various analytical applications such as plant size, shape, and color.
The purpose of this study is to propose ways to revitalize the local economy by analyzing the index changes and tourism big data before and after the opining of the KTX on the Gangneung Line in Gangneung City, where the population continues to decline. For This, the main current status of Gangneung-si and internal operation record data(DTG) of Gangneung-si were analyzed. After that, changes in the movement behavior of public transportation users before and after the opening of the KTX Gangneung Line were compared. As a result, it was possible to observe changes in tourist transportation preferences, demographic shifts, alterations in small-scale business sectors and in the travel patterns of tourists within the city of Gangneung. In particular, changes in the small business sector have shown an increase in general restaurants, leisure food establishments(cafes, etc.), and accommodation facilities following the opening of the KTX Gangneung Line. All three sectors have experienced growth concentrated in the vicinity of Gangneung Station, indicating the influence of Gangneung Station, which opened in the central part of Gangneung city, following the inauguration of the KTX Gangneung Line.
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