• The Korean Journal of Food And Nutrition
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• v.27 no.3
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• pp.358-368
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• 2014

The purpose of this study was to compare the validity of obesity indices among the body mass index (BMI), waist circumference (WC), and body fat percentage (BF%), and to determine which is the most useful index to predict the risk of chronic diseases of elderly people. This study was conducted as a cross-sectional study at welfare centers in Seoul. The total number of subjects was 261 (68 men and 193 women) with age ${\geq}60$ years. The distribution of obesity using 3 obesity indices in the subjects with hypertension, diabetes, or arthritis was BF%>WC>BMI in elderly men and WC>BF%>BMI in elderly women. In elderly women, odds ratios (ORs) for hypertension in BMI and WC quartiles were significantly increased in quartile 2 and 3 (p<0.05). The ORs for hypertension, hyperlipidemia, and arthritis in BF% quartiles were significantly increased in quartile 3 and 4 (p<0.05). The BF% was sensitive obesity index for predicting the occurrence of chronic disease in men, and the WC was sensitive index in women. Our results suggested maintaining BMI less than $23.5kg/m^2$, WC less than 82 cm, and BF less than 35% in order to prevent chronic diseases in elderly women.

• Journal of the korean academy of Pediatric Dentistry
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• v.27 no.4
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• pp.494-498
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• 2000

A major concern in pediatric dentistry is maximizing risk management through optimal monitoring of respiratory function during sedation techniques, and Pulse Oximeter is one of the most popular devices for these purpose. Pulse Oximeter is non-invasive device for detecting the sensitive fraction between the saturated & desaturated hemoglobin. Several Studies proved that there is no significant difference between the $SpO_2$ and $SaO_2$. In this article, We examined three Pulse Oximeter $(3300MX^{(R)},\;OX90^{(R)},\;BPM200^{(R)})$. The Pulse Oximeter using shorter pulse beat averaging showed more sensitive reaction to the statue of the patient and lower saturation data. We compared pair of Pulse Oximeter applied to one patient at one time. and $BPM200^{(R)}$(using shorter pulse beat averaging) showed statistically low saturation.

• Journal of Lipid and Atherosclerosis
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• v.7 no.2
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• pp.98-109
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• 2018

Objective: To examine the effects of sodium intake on the correlations between the saltsensitive gene ${\alpha}$-adducin 1 (ADD1) and inflammatory cytokines in Korean childhood obesity. Methods: A total of 2,070 students aged 8-9 years old participated in this study. The anthropometrics, serum biochemistry profile, inflammatory cytokines, and three-day dietary assessment were analyzed according to sex, obesity degree, and ADD1 polymorphism. Results: The obesity prevalence was higher in boys (15.6%) than in girls (11.9%). Boys also showed higher values in anthropometrics; lipid, glucose, and insulin profiles; total calorie intakes, as well as those of sodium and calcium compared with those of the girls. The more obese were boys and girls, the higher were the anthropometrics and the blood levels (total cholesterol, triglyceride, low-density lipoprotein cholesterol, fasting blood sugar, and insulin), but the lower was high-density lipoprotein cholesterol. The obese boys had significantly higher sodium and Na/K intakes, while the obese girls had higher visfatin level and Na/K intake. In addition, an increase in the risk factors for blood pressure and obesity in ADD1 variants was identified. Serum tumor necrosis $factor-{\alpha}$($TNF-{\alpha}$) significantly increased with increasing sodium intake in the ADD1 W allele carriers, regardless of sex. The presence of obesity with the ADD1 W allele induced inflammatory accelerators such as $TNF-{\alpha}$ or C-reactive protein(CRP) with higher sodium intake. Conclusion: Obese children with an ADD1w allele can experience a more complex form of obesity than non-obese when exposed to an obesity-inducing environment and need to be controlled sodium intake in the diet.

• Journal of radiological science and technology
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• v.42 no.1
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• pp.25-30
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• 2019

Whole Spine Scanography (WSS) using the Digital Radiography (DR) system is an examination that requires whole body X-ray exposure, which involves more exposure to radiation for patients than other general radiographies. This can affect the occurrence of breast cancer. This research measured radiation dose when breasts were shield and not shield using the Auto Exposure Control (AEC) mode. The radiation dose without a shield was 1.540 mGy, and that using a collimator was measured 0.506 mGy. Moreover, 0.733 mGy was measured when 1 shield (0.3 mm) was used, and $0.523{\mu}Gy$ when 5 of them (1.5 mm) were used. The results showed that the radiation dose with 5 shields and the radiation dose with a collimator were similar. Moreover, 0.233 mGy was measured when 8 shields (2.4 mm) were used. The standard deviation were 0.081 when using collimator and 0.014 when 5 shields were used. Also, when 8 shields were used, it was found to be 0.002. Most patients who go under a scoliosis test are children or young people who are highly sensitive to radiation. In the research results, the case where the organs sensitive to radiation, women's breasts, were shielded showed more distinct differences compared to without shields. It is considered that using shields can provide more constant shield than using a collimator and lower the risk of breast cancer caused by exposure to radiation.

• Smart Media Journal
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• v.8 no.1
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• pp.9-18
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• 2019

In the era of the 4th industrial revolution, the big data industry is gathering attention for new business models in the public and private sectors by utilizing various information collected through the internet and mobile. However, although the big data integration and analysis are performed with de-identification techniques, there is still a risk that personal privacy can be exposed. Recently, there are many studies to invent effective methods to maintain the value of data without disclosing personal information. In this paper, a personal information protection system is investigated to boost big data utilization in industrial sectors, such as healthcare and agriculture. The criteria for evaluating the de-identification adequacy of personal information and the protection scope of personal information should be differently applied for each industry. In the field of personal sensitive information-oriented healthcare sector, the minimum value of k-anonymity should be set to 5 or more, which is the average value of other industrial sectors. In agricultural sector, it suggests the inclusion of companion dogs or farmland information as sensitive information. Also, it is desirable to apply the demonstration steps to each region-specific industry.

• Korean Journal of Poultry Science
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• v.47 no.4
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• pp.219-227
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• 2020

As the earth's average temperature rises, crop and livestock productions are at risk. Chickens are sensitive to heat stress, and increased temperatures may have adverse effects on their production performance and animal welfare. Reliable stress measurements are crucial for heat stress adaptation. Therefore, various measurement methods and biomarkers are used to evaluate poultry stress levels. Heat shock proteins (HSPs) are heat sensitive biological markers that are highly expressed under stress, thereby acting as a cellular thermometer. HSPs also have chaperone activity, which protects cells from heat stress. This review details the role of HSP70 as a molecular chaperone and biomarker for heat stress, which is important for breeding climate-adaptable, thermo-tolerant poultry.

• Geomechanics and Engineering
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• v.24 no.5
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• pp.407-418
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• 2021

Due to the complexity of the causes of the sliding mass instabilities, landslide susceptibility and hazard evaluation are difficult, but they can be more carefully considered and regionally evaluated by using new programming technologies to minimize the hazard. This study aims to evaluate the landslide hazard zonation in the Tabriz region, Iran. A fuzzy logic-based multi-criteria decision-making method was proposed for susceptibility analysis and preparing the hazard zonation maps implemented in MATLAB programming language and Geographic Information System (GIS) environment. In this study, five main factors have been identified as triggering including climate (i.e., precipitation, temperature), geomorphology (i.e., slope gradient, slope aspect, land cover), tectonic and seismic parameters (i.e., tectonic lineament congestion, distribution of earthquakes, the unsafe radius of main faults, seismicity), geological and hydrological conditions (i.e., drainage patterns, hydraulic gradient, groundwater table depth, weathered geo-materials), and human activities (i.e., distance to roads, distance to the municipal areas) in the study area. The results of analyses are presented as a landslide hazard map which is classified into 5 different sensitive categories (i.e., insignificant to very high potential). Then, landslide susceptibility maps were prepared for the Tabriz region, which is categorized in a high-sensitive area located in the northern parts of the area. Based on these maps, the Bozgoosh-Sahand mountainous belt, Misho-Miro Mountains and western highlands of Jolfa have been delineated as risk-able zones.

• Mass Spectrometry Letters
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• v.14 no.3
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• pp.91-103
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• 2023

As one of the most common mood disorders, numerous studies have shown depression is the main risk factor for non-suicidal self-harm. The pathogenesis of depression is complex, and a comprehensive and rapid measurement of monoamine neurotransmitters and their metabolites will be very helpful in understanding the pathogenesis of depression. Therefore, a rapid and sensitive underivatized liquid chromatography-tandem mass spectrometry method was developed and validated for the simultaneous monitoring of the levels of ten neurotransmitters and their metabolites in rat serum and limbic system and successfully applied to quantify the changes of neurotransmitter levels in chronic unpredictable mild stress-induced rats. The analytes studied were mainly involved in tyrosine metabolism, tryptophan metabolism, and glutamate cycling pathways, which are important in the pathogenesis of depression. It had been verified the method was sensitive and effective, with satisfactory linearity, and met the requirements of biological sample determination. Levels of neurotransmitters in rat serum, hippocampus, amygdala, prefrontal cortex, striatum, and hypothalamus were determined via the method. The results showed serotonin, dopamine, norepinephrine, and their metabolites were decreased, glutamine was increased, and glutamate was disturbed in chronic unpredictable mild stress-induced depression rats. This method provides a new approach to studying the pathogenesis of depression and other neurological disorders.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2293-2302
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• 2013

Flood inundation map has been used as a fundamental information in flood risk management. However, there are various sources of uncertainty in flood inundation mapping, which can be another risk in preventing damage from flood. Therefore, it is necessary to remove or reduce uncertainty sources to improve the accuracy of flood inundation maps. However, the entire removal of uncertainty source may be impossible and inefficient due to limitations of knowledge and finance. Sensitivity analysis of uncertainty sources allows an efficient flood risk management by considering various conditions in flood inundation mapping because an uncertainty source under different conditions may propagate in different ways. The objectives of this study are (1) to perform sensitivity analysis of uncertainty sources by different conditions on flood inundation map using the FOA method and (2) to find a major contributor to a propagated uncertainty in the flood inundation map in Flatrock at Columbus, U.S.A. Result of this study illustrates that an uncertainty in a variable is differently propagated to flood inundation map by combination with other uncertainty sources. Moreover, elevation error was found to be the most sensitive to uncertainty in the flood inundation map of the study reach.

• Korean Journal of Agricultural and Forest Meteorology
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• v.25 no.3
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• pp.151-171
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• 2023

This study analyzed farmer's responses to the pilot project in advance of the nationwide expansion of the farm-customized early warning service for weather risk management by conducting a survey among all farmers who received text messages of this service. We analyzed not only the satisfaction of farmers with the early warning service, but also the effectiveness of the service in preventing agrometeorological disasters through cross-tabulation analysis of survey results. More than 330 farmers participated in the survey, and more than 60% of the respondents said that they had prevented or mitigated crop disasters by using the early warning service. The cross-tabulation analysis showed that farmers who perceived the field-specific weather information of the early warning service to be more accurate than the weather forecast were statistically significantly more likely to prevent crop disasters than those who did not. According to our case study, farmers who grew open field fruit crops were particularly sensitive to weather information and confirmed that early warning services, along with disaster prevention facilities, were effective in preparing for freezing and frost injury that had been occurring frequently under the influence of climate change. This study is significant in that it is the first to systematically analyze the effectiveness of the farm-customized early warning service for weather risk management based on extensive surveys. It is expected to contribute to exploring ways to develop the service ahead of the nationwide expansion of the early warning service in the near future.