• Title/Summary/Keyword: education using AI

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A Comparative Study on Eating Habits and Eating Attitude of Depressed and Normal Adults : Based on 2008 Korean National Health and Nutrition Examination Survey (우울군과 정상군 성인의 식습관 및 식태도의 비교 : 국민건강 영양조사 제 4기 2차년도(2008) 자료 중심)

  • Lee, Ji-Won;Kim, Seong-Ai
    • Korean Journal of Community Nutrition
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    • v.16 no.5
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    • pp.548-558
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    • 2011
  • The purpose of this study was to compare eating habits and food attitudes between depressed and normal adults. The subjects were selected (n = 6217) from those who participated in the 2008 Korean National Health and Nutrition Examination Survey (KNHANES IV). The subjects were divided into the depressed (DG, n = 841) and normal groups (NG, n = 3969). DG was those who have depression now or who have experienced depressing feelings more than two weeks or per year. The general characteristics, anthropometric measurement, eating habits, the dietary guideline recognition and practices were compared by using chi-square test and t-test. Also the partial correlations were analyzed by SAS (Statistical analysis system, version 9.1) program. There was a significantly higher rate of DG among the female (74.32%), with low education (44.6%) and low-income (32.0%) subjects (p < 0.001). DG showed significantly lower snacking and dining out. There was significantly higher rate of DG who responded "none" in frequency of snack (27.10%) and dining out (29.50%) (p < 0.001). Also DG showed significantly lower rate of the subjects who ate with the family than NG. Also, DG showed significantly lower dietary guideline recognition level and practice than NG. Correlation between depression symptom and various factors showed that positive correlation with low snack intake and dining out frequencies. However, correlation was relatively weak. In conclusion, eating habits and recognition levels and practice of dietary guidelines of DG were significantly different from NG. DG showed significantly lower frequencies of snack, dining out, and eating with family.

Eating Behavior, Obesity and Serum Lipid Levels in Children (어린이들의 식습관이 비만도와 혈청 지질 수준에 미치는 영향)

  • 임경숙
    • Journal of Nutrition and Health
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    • v.26 no.1
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    • pp.56-66
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    • 1993
  • Interactive effects among eating behavior, obesity and serum lipid levels were studied in 117, 4~12 year old children residing suburban Seoul. Fasting blood samples are obtained and analyzed for serum triglycerides (TG), total cholesterol(TC), high density lipoprotein-cholesterol(HDL-C) and hematochrit. Obesity was determined by weight for length index(WLI)and the information on eating behavior including food habits and dietary intakes was obtained by questionaire using food record method for 2-consecutive days. Over 40% of children was classified overweight or obese by WIL and children's physical parameters were closely related to those of parents implying genetic influence on obesity. Although it did not reach the statistical significance, there was a tendency of higher TG, TC and low density lipoprotein-cholesterol(LDL-C)levels among girls compared to boys. Blood lipid levels of obese children were similar to those of other groups except TG, which was significantly higher(p<0.05) in obese group. Nutrient intakes seemed adequate in all subjects except iron, calcium and total calorie which were lower than RDAs. Lacking significant relationship between individual nutrient intake and obesity, there was significant correlation between food intake and blood lipid level especially in 10-12 year old group. Vegetable intake was negatively related to TG, LPH(LDL-C/HDL-C) and atherogenic index(AI), and positively to HDL-C. Skipping breakfast and frequent eating out appeared to cause imbalances in nutrient intake. These findings clearly revealed the influence of eating behavior on childhood obesity along with blood lipid profile. To ensure the proper growth and health of these children, devising method and developing media for nutrition education suited to our society should be accomplished first. With well-planned nutrition surveys and thorough intention, childhool obesity could be prevented from progress into adulthood obesity.

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Establishment of reference intake of water for Korean adults in 2015 (2015 한국 성인의 수분 섭취기준 설정)

  • Lee, Jae-Hyun;Kim, Sun-Hyo
    • Journal of Nutrition and Health
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    • v.50 no.2
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    • pp.121-132
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    • 2017
  • Purpose: This review was performed to establish a reference intake of water for Korean (KDRI-water) adults in 2015 by examining current knowledge of the relationship between water intake and health and the general status of water intake and loss. We expect that this study will be utilized for further refinement of KDRI-water. Methods: Documents were searched using RISS, NDSL, DBPIA, CINAHL, and Pubmed with the keywords 'water intake, water supply, water ingestion, hydration, dehydration, water balance, and fluid balance'. Results: Water balance is essential for the maintenance of health. Based on this assumption, numerous studies have been performed to investigate the association of water intake with several diseases such as urolithasis, obesity, diabetes, and cancer as well as other health problems, including constipation, cognition, and fetal weight. Effects of water intake for prevention or relief of these health problems vary. Water is supplied to the body by eating foods and drinking liquids such as plain water and beverages. Metabolic water is another source of water input. Water is lost through urine, skin, respiration, and feces. KDRI-water 2015 was set by adequate intake (AI) based on water intake volume, which was the sum of water intakes from foods and fluids reported by the Korea National Health and Nutrition Examination Survey, with extra milk intake of 200 mL. AIs in some age groups were modified considering their estimated energy requirements. Conclusion: Accurate data of water intake is critically important for the establishment of KDRI-water. Therefore, improvement of systems investigating water intake is required, and more studies on the status of water intake and loss in Korean people are needed for definite KDRI-water establishment.

A Study on Fuzzy Searching Algorithm and Conditional-GAN for Crime Prediction System (범죄예측시스템에 대한 퍼지 탐색 알고리즘과 GAN 상태에 관한 연구)

  • Afonso, Carmelita;Yun, Han-Kyung
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.14 no.2
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    • pp.149-160
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    • 2021
  • In this study, artificial intelligence-based algorithms were proposed, which included a fuzzy search for matching suspects between current and historical crimes in order to obtain related cases in criminal history, as well as conditional generative adversarial networks for crime prediction system (CPS) using Timor-Leste as a case study. By comparing the data from the criminal records, the built algorithms transform witness descriptions in the form of sketches into realistic face images. The proposed algorithms and CPS's findings confirmed that they are useful for rapidly reducing both the time and successful duties of police officers in dealing with crimes. Since it is difficult to maintain social safety nets with inadequate human resources and budgets, the proposed implemented system would significantly assist in improving the criminal investigation process in Timor-Leste.

Optimization of factors influencing in vitro immature seed germination in Chionanthus retusus

  • Tar, Khin Yae Kyi;Naing, Aung Htay;Ai, Trinh Ngoc;Chung, Mi Young;Kim, Chang Kil
    • Journal of Plant Biotechnology
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    • v.45 no.4
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    • pp.347-356
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    • 2018
  • Chionanthus retusus is a small deciduous tree that is widely used in landscaping due to its beautiful white spring flowers and ornamental value. Conventional propagation through seeds requires one to two years of breaking dormancy. The objective of this study was to determine the conditions of in vitro germination in C. retusus. In vitro embryo culture was carried out to investigate the effects of six factors: basal media (McCown Woody Plant Medium (WPM) and Murashige and Skoog (MS)); plant growth regulators (different combinations and concentrations of naphthaleneacetic acid (NAA), 6-Benzylaminopurine (BA), and gibberellic acid ($GA_3$)); embryo age (collected weekly beginning 36 days after fruit setting); low temperature pretreatment (storing $4^{\circ}C$ for 1, 2, 3, and 4 weeks); coconut additives (100, 200, and $300ml{\cdot}L^{-1}$); and genotype (grouping plants depending on their flowering nature). The basal medium used in this study was WPM with $2mg{\cdot}L^{-1-1}\;GA_3$, $20g{\cdot}L^{-1}$ sucrose, and $6g{\cdot}L^{-1}$ Agar. WPM medium mixed with $GA_3$, resulted in higher germination rate as compared to when using a combination of auxin and cytokinin. $GA_3$ at $2mg{\cdot}L^{-1}$ was the most effective of all combinations and concentrations of PGRs. WPM medium with $2mg{\cdot}L^{-1}GA_3$ resulted in better and faster germination (75.93%). Embryos collected at 57 days after fruit setting had the highest percent of germinated seeds (87.04%) while low-temperature pretreatment of fruits at $4^{\circ}C$ for two weeks produced the highest germination (95.37%). These results of this study could be an open ground for development of an efficient protocol for commercial production of the ornamental tree.

Technology Commercialization and Management Performance Analysis of Smart farm Venture companies (스마트팜 벤처기업의 기술사업화와 경영성과 분석)

  • Dae-Yu, Kim;Taiheoun Park;Won-Shik Na
    • Advanced Industrial SCIence
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    • v.2 no.2
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    • pp.25-30
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    • 2023
  • The purpose of this study is to empirically analyze the impact of corporate innovation activities on corporate innovation performance using data from companies participating in the smart farm project. A company's innovation activities were divided into planning capacity, R&D capacity, and commercialization capacity, and the impact of each innovation activity on the company's sales and patent creation was estimated. The moderating effect was also analyzed. Regression analysis was conducted as a research method, and as a result of the analysis, it was found that planning capacity, R&D capacity, and commercialization capacity related to innovation within a company have an impact on corporate performance creation. appeared to be In order to increase the business performance of technology commercialization, it was confirmed that planning and R&D capabilities as well as governmental technology policy support are needed.

Deriving adoption strategies of deep learning open source framework through case studies (딥러닝 오픈소스 프레임워크의 사례연구를 통한 도입 전략 도출)

  • Choi, Eunjoo;Lee, Junyeong;Han, Ingoo
    • Journal of Intelligence and Information Systems
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    • v.26 no.4
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    • pp.27-65
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    • 2020
  • Many companies on information and communication technology make public their own developed AI technology, for example, Google's TensorFlow, Facebook's PyTorch, Microsoft's CNTK. By releasing deep learning open source software to the public, the relationship with the developer community and the artificial intelligence (AI) ecosystem can be strengthened, and users can perform experiment, implementation and improvement of it. Accordingly, the field of machine learning is growing rapidly, and developers are using and reproducing various learning algorithms in each field. Although various analysis of open source software has been made, there is a lack of studies to help develop or use deep learning open source software in the industry. This study thus attempts to derive a strategy for adopting the framework through case studies of a deep learning open source framework. Based on the technology-organization-environment (TOE) framework and literature review related to the adoption of open source software, we employed the case study framework that includes technological factors as perceived relative advantage, perceived compatibility, perceived complexity, and perceived trialability, organizational factors as management support and knowledge & expertise, and environmental factors as availability of technology skills and services, and platform long term viability. We conducted a case study analysis of three companies' adoption cases (two cases of success and one case of failure) and revealed that seven out of eight TOE factors and several factors regarding company, team and resource are significant for the adoption of deep learning open source framework. By organizing the case study analysis results, we provided five important success factors for adopting deep learning framework: the knowledge and expertise of developers in the team, hardware (GPU) environment, data enterprise cooperation system, deep learning framework platform, deep learning framework work tool service. In order for an organization to successfully adopt a deep learning open source framework, at the stage of using the framework, first, the hardware (GPU) environment for AI R&D group must support the knowledge and expertise of the developers in the team. Second, it is necessary to support the use of deep learning frameworks by research developers through collecting and managing data inside and outside the company with a data enterprise cooperation system. Third, deep learning research expertise must be supplemented through cooperation with researchers from academic institutions such as universities and research institutes. Satisfying three procedures in the stage of using the deep learning framework, companies will increase the number of deep learning research developers, the ability to use the deep learning framework, and the support of GPU resource. In the proliferation stage of the deep learning framework, fourth, a company makes the deep learning framework platform that improves the research efficiency and effectiveness of the developers, for example, the optimization of the hardware (GPU) environment automatically. Fifth, the deep learning framework tool service team complements the developers' expertise through sharing the information of the external deep learning open source framework community to the in-house community and activating developer retraining and seminars. To implement the identified five success factors, a step-by-step enterprise procedure for adoption of the deep learning framework was proposed: defining the project problem, confirming whether the deep learning methodology is the right method, confirming whether the deep learning framework is the right tool, using the deep learning framework by the enterprise, spreading the framework of the enterprise. The first three steps (i.e. defining the project problem, confirming whether the deep learning methodology is the right method, and confirming whether the deep learning framework is the right tool) are pre-considerations to adopt a deep learning open source framework. After the three pre-considerations steps are clear, next two steps (i.e. using the deep learning framework by the enterprise and spreading the framework of the enterprise) can be processed. In the fourth step, the knowledge and expertise of developers in the team are important in addition to hardware (GPU) environment and data enterprise cooperation system. In final step, five important factors are realized for a successful adoption of the deep learning open source framework. This study provides strategic implications for companies adopting or using deep learning framework according to the needs of each industry and business.

Vitamin D intake, serum 25OHD, and bone mineral density of Korean adults: Based on the Korea National Health and Nutrition Examination Survey (KNHANES, 2011) (한국 성인의 비타민D 섭취량과 혈중 25OHD 농도 및 골밀도와의 관련성 : 2011 국민건강영양조사 결과 재분석)

  • Kim, Mi-Yeon;Kim, Mi-Ja;Ly, Sun Yung
    • Journal of Nutrition and Health
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    • v.49 no.6
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    • pp.437-446
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    • 2016
  • Purpose: The purpose of this study was to estimate dietary intake of vitamin D and the relationship between serum 25-hydroxyvitamin D (25OHD) concentration and bone mineral density (BMD) in Korean adults using the 2011 data from the Korea National Health and Nutrition Examination Survey. Methods: Daily intake of vitamin D and ratio of subjects that consumed less vitamin D than adequate intake (AI) were estimated in 4,879 Korean adults. The relationship between daily intake of vitamin D and serum 25OHD and BMD were analyzed. Results: Average daily intakes of vitamin D were $3.84{\pm}0.23{\mu}g/day$ for men and $2.22{\pm}0.11{\mu}g/day$ for women. Approximately 72~97% of men and 80~99% of women consumed less than the AI of vitamin D for Koreans. Serum 25OHD concentration increased with age, and the ratios of serum vitamin D deficiency (< 20 ng/mL) were 47.8~81.1% for men and 59.4~92.8% for women. Average intake of vitamin D was higher in subjects aged < 50 yr than in those ${\geq}50yr$, but lower in serum 25OHD concentration. In subjects aged < 50 yr, serum 25OHD was higher in subjects that consumed $10{\mu}g/day$ of vitamin D than in those that consumed less than $5{\mu}g/day$. In female subjects aged ${\geq}50yr$, average intake of vitamin D was associated with higher bone mineral density. Conclusion: It was found that dietary intake of vitamin D could increase serum 25OHD concentration in young adults and bone mineral density in old women. Therefore, nutrition policies for enriched foods with vitamin D and nutrition education to consume more vitamin D-rich foods are needed to ameliorate vitamin D status of the Korean population. Adequate intake for Korean population aged < 50 yr might be adjusted upwardly up to $10{\mu}g/day$.

Effects of Aloe on Liver Function and Lipid Metabolism in Alcohol-Consuming Rats (Aloe가 알코올을 섭취한 흰쥐의 간 기능 및 지질대사에 미치는 영향)

  • Choi, Hye-Gyoung;Lee, Joon-Ho
    • Journal of the East Asian Society of Dietary Life
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    • v.24 no.3
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    • pp.325-334
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    • 2014
  • The effects of aloe on liver function and lipid metabolic disorders induced by alcohol consumption were studied in rats using aloe power (0.25%, 0.5%, 1%) and 10% ethanol. 35 Sprague-Dawley (male, 4 weeks old) rats were divided into five groups and fed experimental diets for six weeks. Body weights of rats tended to be lower in all alcohol supplemented groups than in the control. Food intakes and dry feces per day were significantly lower in all alcohol supplemented groups than in the control. Atherogenic indices (AI) were highest in the alcohol group and decreased in proportion with aloe amount. Serum triglyceride level was significantly higher in the alcohol group than in the control, but tended to be lower in the aloe supplemented groups. In relation to liver function, glutamate oxaloacetate transaminase (GOT), glutamate pyruvate transaminase (GPT), and alkaline phosphatase (ALP) activities tended to be higher in the alcohol groups than in the control, but lower in the aloe groups, especially in the alcohol+0.5% AO group. The levels of liver cholesterol were significantly lower in the alcohol group than in the control and aloe supplemented groups. In the histochemical evaluation, fat droplets appeared extensively on the liver-lobule in the alcohol group, whereas they decreased slightly in the alcohol+0.25% AO group and apparently disappeared in the alcohol +0.5% AO. On the other hand, fat droplets appeared again on the liver-lobule in the alcohol+1% AO group, but were reduced compared with the alcohol group. Regarding the fatty acid composition of adipose tissue triglycerides, the level of linoleic acid (18:2) was significantly higher in the aloe supplemented group. Regarding the fatty acid composition of liver phosphatidylcholine (PC), the level of linoleic acid was higher in the alcohol group and alcohol+1% AO group than the other groups. In contrast, the level of arachidonic acid was significantly lower in the alcohol group. As a result, arachidonic / linoleic acid ratios were significantly lower in the alcohol group compared to the control group, whereas the ratios of the aloe supplemented groups were similar to that of the control group. Therefore, aloe had some beneficial effects on lipid metabolic disorders induced by alcohol and affected desaturation of fatty acids.

A Study on Development and Effectiveness of the Indicatives for Analysis of the Effects of a Book Sharing Project on pre-schoolers of Supporter' Reading Care in Gyeonggi-do (경기도 책꾸러미 사업을 통한 양육자의 독서육아 효과 분석을 위한 지표개발 및 효과성 연구)

  • Choi, In-Ja;Yoon, Sung-Une;Kim, Soo-Kyoung;Hoang, Gum-Sook;Lee, Sun-Ai
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.2
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    • pp.133-155
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    • 2022
  • The purpose of this study was to develop the indicatives for the analysis of the effects of Gyeonggi-do Book Sharing Project on pre-schoolers of supporter' reading care and thereby, suggest some data useful to the establishment of a reading culture promotion policy in Gyeonggi-do. Preceding studies and cases were reviewed to analyze the effects of the book-sharing project on pre-schoolers of supporter' reading care and thereby, develop some measurement indicatives, and thus, the indicatives were verified by professionals using the Delphi technique. Then, supporter of 3~5 year-old pre-schoolers were sampled from 7 cities and counties in Gyeonggi-do (Pocheon-si, Yangpyeong-gun, Yeoju-si, Dongducheon-si, Gapyeong-gun, Yeoncheon-gun and Yangju-si) to be divided into control and test groups and thereby, their reading care effect indicatives were compared before and after the test. The theoretical background is theory of family literacy, emergent literacy and parenting efficacy. As a result of developing the indicatives for analysis of pre-schoolers of supporter's reading care effects and comparing them for the sample pre-schoolers of supporter, before and after the test, the book-sharing project was found effective in improving reading care. The most difficult problem in pre-schoolers' earlier reading education involves acquisition of reading habit. So, it is deemed necessary to operate a regular book sharing project involving public organization and homes. As a result of developing the indicatives and analyzing the effects of the book-sharing project, it was confirmed that the project would serve to improve pre-schoolers of support's reading care and therefore, this study seems to provide some ground for the operation of a sustainable book-sharing project to narrow the education divide and promote a book reading culture in Gyeonggi-do.