The Journal of the Korea institute of electronic communication sciences
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v.14
no.2
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pp.317-322
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2019
This study is based on big big data base for real-time collection/analysis/processing of data, creative analysis of data assets, and intelligent processing system based on IoT, which can measure distribution phase in real time. The mobile terminal uses the SDK of the provided device to measure the data information on the consumption of specific seafood production and distribution. We use the oneM2M protocol to store various kinds of information needed for seafood production, and implement a DB Server and a system that allows the administrator to manage the system using the UI.
This study analyzed food poisoning articles in the Joseonwangjosillok to acquire historical evidence. The study method used case studies from the textual content of the Joseonwangjosillok. In all, there were fifteen cases of food poisoning in spring (60%), four cases in summer (16%), five cases in fall (20%), and 1 case during winter (4%). Most cases of food poisoning occurred during spring, followed by fall, then summer, and the least during winter. Foods that caused poisoning were as follows: twelve cases of seafood (48%), three cases of vegetables (12%), two cases of meat (8%), and eight cases of poisonous food (32%). Maximum cases pertained to seafood poisoning, which also spiked during spring. This could be attributed to the increased number of planktons as the sea temperature rose during spring. Due to the increased plankton, shellfish absorbed more toxins. The consumption of increasingly toxic shellfish resulted in more cases of food poisoning. The food poisoning frequency was the most severe during the 18th century, followed sequentially by the 15th, 16th, and 17th centuries, and was the least severe during the 19th century. Joseonwangjosillok showed that food poisoning cases happened most during social events where many guests or family members gathered to eat.
Diet is one of the major factors that can exert a majorly influence on colorectal cancer risk. This systematic review aimed to find correlations between various diet types, food or nutrients and colorectal cancer risk among Asian populations. Search limitations include dAsian populations residing in Asia, being published from the year 2008 till present, and written in the English language. A total of 16 articles were included in this systematic review. We found that red meats, processed meats, preserved foods, saturated/animal fats, cholesterol, high sugar foods, spicy foods, tubers or refined carbohydrates have been found by most studies to have a positive association with colorectal cancer risk. Inversely, calcium/dairy foods, vitamin D, general vegetable/fruit/fiber consumption, cruciferous vegetables, soy bean/soy products, selenium, vitamins C,E and B12, lycophene, alpha-carotene, beta-carotene, folic acid and many other vitamins and minerals play a protective role against colorectal cancer risk. Associations of fish and seafood consumption with colorectal cancer risk are still inconclusive due to many varying findings, and require further more detailed studies to pinpoint the actual correlation. There is either a positive or no association for total meat consumption or white meats, however their influence is not as strong as with red and processed meats.
Seafood is a major source of protein in many countries and its consumption is increasing. In Korea, consumption of seafood is increasing, but self-sufficiency rate is decreasing, and the importance of safety management is increasing as the amount of imported seafood increases. There are hundreds of species of aquatic products imported into Korea from over 110 countries, and there is a limit to relying only on the experience of inspectors for safety management of imported aquatic products. Based on the data, a model that can predict the customs inspection results of imported aquatic products is developed, and a machine learning classification model that determines the non-conformity of aquatic products when an import declaration is submitted is created. As a result of customs inspection of imported marine products, the nonconformity rate is less than 1%, which is very low imbalanced data. Therefore, a sampling method that can complement these characteristics was comparatively studied, and a preprocessing method that can interpret the classification result was applied. Among various machine learning-based classification models, Random Forest and XGBoost showed good performance. The model that predicts both compliance and non-conformance well as a result of the clearance inspection is the basic random forest model to which ADASYN and one-hot encoding are applied, and has an accuracy of 99.88%, precision of 99.87%, recall of 99.89%, and AUC of 99.88%. XGBoost is the most stable model with all indicators exceeding 90% regardless of oversampling and encoding type.
Objectives: The purpose of this study was to analyze the factors affecting Bisphenol A (BPA) exposure in children and adolescents using the results of the Korean National Environmental Health Survey (KoNEHS) cycle 3. Methods: A total of 2,380 subjects (n=571, 887, and 922 for 3-5, 6-11, and 12-17 years of age, respectively) were analyzed using an environmental exposure survey and environmental chemical substances concentration levels. Univariable linear regression analysis was performed to determine associated variables such as sex, age, income level, housing type, secondhand smoke time, cup noodles and canned food consumption, seafood consumption, new furniture (within the previous six months), drinking water type, and consumption of herbal medicines. Variables with p-values of less than 0.2 were extracted from the results and a multivariable linear regression analysis was performed using stepwise selection. Results: Univariable linear regression analysis showed positive associations between BPA concentration levels and variables including sex, age, secondhand smoke time, new furniture (within the previous six months), renovated living space (within the previous six months), fish and shellfish consumption, plastic-bottled drink consumption, and herbal medicine. As a result of performing multivariable linear regression analysis, the lower was the age the higher was the concentration of BPA levels. Additionally, women showed higher BPA levels than those of men. The more frequently fish was consumed, the higher was the BPA concentration. Moreover, higher BPA concentrations were observed when taking herbal medicine. Conclusions: The main factors affecting BPA concentration levels were age, gender, and consumption of fish and herbal medicine.
Microplastics are fragments of any type of plastic with a size less than 5 mm. Ocean pollution by microplastics is now a worldwide concern in relation to marine ecosystems and human health. The widespread contamination by microplastics means that they can be ingested by and accumulated in diverse species of wildlife, such as fish, mussels, oysters, clams, and scallops. Once ingested, the microplastics can be observed in the intestines, liver, and kidney, and even in the brain. Seafood is one of the major sources of protein intake in humans; therefore, seafood consumption could be pathway for human microplastics exposure. Accumulating evidence indicates that repeated oral exposure to microplastics induces pathologic and functional changes in the reproductive, cardiac, gastrointestinal, endocrine, and even nervous systems of rodents. Maternal exposure to microplastics during gestation and lactation alters metabolic homeostasis in the offspring. Given that seafood provides more than 20% of the total protein intake by over 310 million people worldwide, a reasonable assumption is that microplastics could be substantially accumulated in the human body and impair physiological function. In this review, we have summarized the current status of microplastics contamination in the ocean, their accumulation and toxicities in marine animals and rodents, their exposure to humans, and their potential impacts on human health.
In this study, a microbial risk assessment was performed for the bacteria Vibrio parahaemolyticus, which causes a foodborne illness following the consumption of Jeotgal, a fermented seafood in South Korea. The assessment comprised of six stages: product, market, home, consumption, dose-response, and risk. The initial contamination level (IC) was calculated based on the prevalence of V. parahaemolyticus in 90 Jeotgal samples. The kinetic behavior of V. parahaemolyticus was described using predictive models. The data on transportation conditions from manufacturer to market and home were collected through personal communication and from previous studies. Data for the Jeotgal consumption status were obtained, and an appropriate probability distribution was established. The simulation models responding to the scenario were analyzed using the @RISK program. The IC of V. parahaemolyticus was estimated using beta distribution [Beta (1, 91)]. The cell counts during transportation were estimated using Weibull and polynomial models [δ = 1 / (0.0718 - 0.0097 × T + 0.0005 × T2)], while the probability distributions for time and temperature were estimated using Pert, Weibull, Uniform, and LogLogistic distributions. Daily average consumption amounts were assessed using the Pareto distribution [0.60284,1.32,Risk Truncate(0,155)]. The results indicated that the risk of V. parahaemolyticus infection through Jeotgal consumption is low in South Korea.
Fish contain both the neurotoxin methyl mercury (MeHg) and nutrients important for brain development. The developing brain appears to be most sensitive to MeHg toxicity and mothers who consume fish during pregnancy expose their fetus prenatally. Although brain development is most dramatic during fetal life, it continues for years postnatally and additional exposure can occur when a mother breast feeds or the child consumes fish. This raises the possibility that MeHg might influence brain. We evaluated the relationship between fish consumption and mercury exposure levels in umbilical cord blood of the pregnant women of the city of Tongyeong city, Korea. A total of 159 pregnant women residing in the city of Tongyeong, Korea were recruited for the study between October 2010 and March 2011. Fish consumption was evaluated using food frequency questionnaires including detailed questions on fish consumption. We used ANOVA to estimated the particular relevance between the frequency of fish consumption and the umbilical cord blood mercury concentration, and other various factors. The average mean concentration of mercury levels in umbilical cord blood of pregnant women who participated in our study were $2.69{\pm}2.50ppb$, ranging from 0.01 to 14.80 ppb. The mean concentration of umbilical cord blood mercury exposure was lower than the level recommended by WHO (5.0 ppb), but the mercury exposure level exceeded the WHO recommended in 17 (10.7%) cases of umbilical cord blood. Mercury levels in cord blood of pregnant women were $2.04{\pm}2.00ppb$, ranging from 0 to 8.00 ppb in below 29 years old and $3.18{\pm}2.74ppb$, ranging from 0.01 to 14.80 ppb in more 30 years old. In this study, there was a significant difference for the frequency of eating fish between the groups (p < 0.01). The level of the groups that ate fish 3 to more times per week ($4.15{\pm}4.02ppb$) was significant higher as compared with the level of other groups that ate fish 1 to times per week ($2.63{\pm}2.22ppb$) and none per week ($1.06{\pm}1.44ppb$), respectively. We found that the mercury concentration of umbilical cord blood associate with fish consumption and this was statistically significant and this fact revels that fish consumption is positively related to mercury levels in the umbilical cord blood. We need systematic and periodic research on the general population to prevent mercury poisoning, which can be cause by low-level mercury exposure from dietary intake such as chronic fish consumption.
This study investigates the impact of International Monetary Fund(IMF) Age on the household behavior of food consumption and analysis the related factors(demographic variables, family life style) to find out the reasonable consumer's consciousness and food market conditions. The results are as follows. 1. General life style and food life style, considered as family life style, were classified into 7 types and 9 types respectively as family life style by factor analysis. 2. The rationality of using and disposing stage on food life has increased, the rationality of the planning stage on food life has decreased since the IMF age began. But the rationality of overall food consumption has hardly changed. 3. The amount of purchasing was decreased, discount store was favorite place to buy food, and safety and freshness were major determinants in purchasing for most of food items. But this was different with food items. The various information sources were used impartially to buy food, cash was used mainly, and the degree of using the discount ticket/coupon was a little low. 4. Income level is an influential factor on the rationality of the planning and purchasing stage on food life, while environment-oriented food life style has influenced on the rationality of using and disposing stage. The purchasing amount of grain products, meats, milk products, bread and snacks, drinks, alcoholic drinks, water and convenience goods has influenced by demographic variables, eating out had been influenced by general life styles, and fruits, healthy foods, processed foodstuffs, favorite foods, vegetables seaweeds, import foods and seafood had been mainly influenced by food life style since IMF age began.
Purpose: This study analyzed the dietary patterns of Central Asian immigrant workers (Mongolia, Kazakhstan, Uzbekistan, and Kyrgyzstan) living in South Korea to determine the food acculturation and how their dietary practices have changed after immigration. Methods: Self-administered questionnaires were completed by 186 Central Asian immigrant workers living in South Korea. A food frequency questionnaire (FFQ) was used to obtain information on the consumption frequency of 22 food items before and after their immigration to Korea. Results: Central Asians switched to Korean meat consumption patterns, which consume mainly pork, chicken, and beef, showing a decrease in the intake of beef and lamb and an increase in that of pork. Their consumption of Namul (cooked vegetable), Kimchi, rice, and marine products increased while that of potatoes decreased during acculturation to Korean food culture. Positive changes were observed in Mongolians' eating habits. Their meat-based diet turned into a healthy one in which nutritional balance was achieved by consuming the various food groups. Negative dietary changes were also observed; intake of instant foods and coffee increased while black and green tea consumption decreased. Intake of Namul (p < 0.01), Kimchi (p < 0.01), rice (p < 0.001), ramen (p < 0.001), pork, chicken (p < 0.01), fish (p < 0.01), seafood (p < 0.001), and coffee (p < 0.001) increased significantly in the group that responded and their health improved after moving to Korea. This result suggests that health improved among those who were well settled in Korea and ate the various food groups. Conclusion: These findings can help understand the acculturation process to Korean food culture and provide a basis for developing policies to help them adjust to Korean food culture.
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