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Carbohydrate Consumption and Glycemic Index of the Usual Diet in Type 2 Diabetes Mellitus Patients (제2형 당뇨병 환자의 평소 식사 중 당질섭취량과 glycemic index 관련 연구)

  • Im, Hui-Suk;Kim, Sun-Gyeong
    • Journal of the Korean Dietetic Association
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    • v.10 no.3
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    • pp.322-332
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    • 2004
  • The possibility that high, long-term intake of carbohydrates that are rapidly absorbed as glucose may increase the risk of type 2 diabetes has been long-standing controversy. A high consumption of carbohydrates with a high glycemic index produces greater insulin resistance than did the intake of low glycemic index carbohydrates. This study was designed to evaluate the cabohydrate intake status include glycemic index and correlation carbohydrtae intake status with anthropometry factors & other nutrients in usual diet of the Korean type 2 diabetes mellitus. In 104 tpye 2 diabetes mellitus patients(mean age : 51.8yr, male=44.femal=60), we determined carbohydrte intake status include glycemic index with 24hr recall method and measured anthropometry. Mean daily carbohydrtae intakes and glycemic index were 307.3g(male 323.1g, female 295.5g) and 90.7(male 93.4, female 88.8), respectively. We found a strong and statistically significant association between carbohydrate ratio and glycemic index in obese factors, other nutrient. But carbohydrate intake/kg of body weight was low a significant differences in obese factors, other nutrient. Also glycemic index was effected by total energy intake and carbohydrate ratio than carbohydrate intake/kg of body weight. In conclusion, emphasis for dietary modification should be total energy intake and carbohydrate ratio in diabetes mellitus patient.

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A Study on the Construction of Fisheries Producer Price Index (수산물 생산자물가지수 산정방식에 관한 고찰;-연근해 어획물을 중심으로-)

  • 이광진
    • The Journal of Fisheries Business Administration
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    • v.27 no.1
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    • pp.67-90
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    • 1996
  • As an important factor of capitalism economics, price of commodities represents a certain country's economic index. For having correct price policy, there should be an appropriate mechanism to make and use systematic statistical data on price. Price statistics are made by indexes and price indexes are categorized into producer price index(PPI) and consumer price index(CPI). The Bank of Korea is publishing producer price index every year, but the producer price index contains some problems. These include as follows : (a) the impractical selection of fisheries products sample (b) uncorrect measure of aquatic products weights (c) investigating sample places. This study try to substitute producer price index of aquatic products and change construction of fisheries producer price index with experimental research on representative fisheries, weight of each fisheries, and suitability of investigating sample places. It is possible to improve practical fisheries producer price index with the results of this research. The findings are as follow. (a) It will be helpful for the government to make the fisheries price policy. (b) It can be used to understand trends of accurate price and price increase of aquatic products, and it's possible to compare with it other industrial indexes including the mining, agricultural, and manufacturing industry and understand relative price movement. (c) When free sales systems of fisheries products as expected, it will be helpful to analyze price movement of producing fisheries cooperatives, producing fisheries market and consuming fisheries market, analysis of market, and formation and consideration of budget. (d) It can be an important index to determine labor wage.

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Deep Learning-based Happiness Index Model Considering Social Variables and Individual Emotional Index (사회적 변수와 개개인의 감정지수를 함께 고려한 딥러닝 기반 행복 지수 모델 설계)

  • Sumin Oh;Minseo Park
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.489-493
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    • 2024
  • Happiness index is a measurement system for understanding collective happiness. As values change, studies have been proposed to add the value of behavior to the happiness index. However, there is a lack of studies analyze the relationship using individual emotions. Using a deep learning model, we predicted happiness index using social variables and individual emotional index. First, we collected social and emotional variables from January 2005 to December 2020. Second, we preprocessed the data and identified significant variables. Finally, we trained deep learning-based regression model. Our proposed model was evaluated using 5-fold cross validation. The proposed model showed 90.86% accuracy on test sets. Our model will be expected to analyze the significant factors of country-specific happiness index.

Multi-Path Index Scheme for the Efficient Retrieval of XML Data (XML 데이타의 효과적인 검색을 이한 다중 경로 인덱스)

  • Song, Ha-Joo;Kim, Hyoung-Joo
    • Journal of KIISE:Computing Practices and Letters
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    • v.7 no.1
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    • pp.12-23
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    • 2001
  • Extended path expressions are used to denote multiple paths concisely by using '$\ast$' character. They are convenient for expressing OQL queries to retrieve XML data stored in OODBs. In this paper, we propose a multi-path index scheme as a new index scheme to efficiently process queries with extended path expressions. Our proposed index scheme allocates a unique path identifier for every possible single path in an extended path expression and provides functionalities of both a single path indexing and multiple path indexing through the composition of index key and path identifier while using only a index structure. The proposed index scheme provides better performance than single-path index schemes, and is practical since it can be implemented by little modification of leaf records of a B+-tree index.

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STUDY OF DENTAL PLAQUE INDEX IN MIXED DENTITION (혼합치열(混合齒列)의 치구(齒垢)에 관(關)한 연구(硏究))

  • Kim, Jin-Tae
    • Journal of the korean academy of Pediatric Dentistry
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    • v.7 no.1
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    • pp.17-20
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    • 1980
  • The purpose of this investigation was to make a comprehensive study and evaluation of the oral hygiene status by considering dental plaque index in 60 children age 7-9. The obtained results were as follows 1) Average plaque index of total mandibular teeth was higher than that of maxillary teeth. (Mandible; 2.14, Maxilla; 1.98) 2) In average plaque index per tooth surface, plaque index of facial surface was higher than that of lingual surface in maxilla and lower in mandible. 3) In mixed dentition, dental plaque occur most frequently and in greater quantity on the buccal surfaces of the maxillary permanent 1st molars and the lingual surfaces of the mandibular anterior permanent incisors.

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Relationship Between the Body Mass Index and Abnormal Pap Smears

  • Prompakay, Russameekae;Promthet, Supannee;Kamsa-ard, Siriporn;Suwanrungruang, Krittika;Wiangnon, Surapon;Bradshaw, Peter
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.9
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    • pp.5503-5506
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    • 2013
  • This cross-sectional analytic study aimed to investigate any relationship between the body mass index (BMI) and an abnormal Pap smear. The subjects were 7,720 women aged 30-69 years who lived in Khon Kaen Province, Thailand, and had been recruited as participants in the Khon Kaen Cohort Study during 1990-2001. All had received Pap smear screening for cervical cancer. The data were analyzed using descriptive and inferential statistics. Multiple logistic regression was used to determine the relationship between body mass index and an abnormal Pap smear. The mean BMI was $24.53kg/m^2$ (SD=3.98), and 2.14% had abnormal Pap smears. Compared with the reference group of women with a BMI ${\leq}22.9kg/m^2$, those with a body mass index of $23.0-24.9kg/m^2$ had a reduced risk of an abnormal smear (ORadj=0.92, 95%CI: 0.57-1.47), but women with a BMI $25.0-29.9kg/m^2$ were found to have an approximately 1.24 times higher risk ($OR_{adj}=1.24$, 95%CI: 0.86-1.80), and those with a BMI ${\geq}30.0kg/m^2$ had an approximately 1.63 times higher risk ($OR_{adj}=1.63$, 95%CI: 0.98-2.69). The results indicated that the risk of Pap smear abnormalities is increased in women who have a higher than normal body mass index, but this finding was not statistically significant. Nevertheless, public health personnel should encourage women to maintain their BMI in the normal range to reduce the possible future risk of cervical cancer.

Estimation of Polar Cap Potential and the Role of PC Index

  • Moon, Ga-Hee
    • Journal of Astronomy and Space Sciences
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    • v.29 no.3
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    • pp.259-267
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    • 2012
  • Polar cap potential has long been considered as an indicator for the amount of energy flowing in the magnetosphere-ionosphere system. Thus, the estimation of polar cap potential is important to understand the physical process of the magnetosphere. To estimate the polar cap potential in the Northern Hemisphere, merging electric field by Kan & Lee (1979) is adopted. Relationships between the PC index and calculated merging electric field ($E^*$) are examined during full-time and storm-time periods separately. For this purpose Dst, AL, and PC indices and solar wind data are utilized during the period from 1996-2003. From this linear relationship, polar cap potential (${\Phi}^*$) is estimated using the formula by Doyle & Burke (1983). The values are represented as $58.1{\pm}26.9$ kV for the full-time period and $123.7{\pm}84.1$ kV for a storm-time period separately. Considering that the average value of polar cap potential of Doyle & Burke (1983) is about 47 kV during moderately quiet intervals with the S3-2 measurements, these results are similar to such. The monthly averaged variation of Dst, AL, and PC indices are then compared. The Dst and AL indices show distinct characteristics with peaks during equinoctial season whereas the average PC index according to the month shows higher values in autumn than in spring. The monthly variations of the linear correlation coefficients between solar wind parameters and geomagnetic indices are also examined. The PC-AL linear correlation coefficient is highest, being 0.82 with peaks during the equinoctial season. As with the AL index, the PC index may also prove useful for predicting the intensity of an auroral substorm. Generally, the linear correlation coefficients are shown low in summer due to conductance differences and other factors. To assess the role of the PC index during the recovery phase of a storm, the relation between the cumulative PC index and the duration is examined. Although the correlation coefficient lowers with the storm size, it is clear that the average correlation coefficient is high. There is a tendency that duration of the recovery phase is longer as the PC index increases.

Results and implications of the damage index method applied to a multi-span continuous segmental prestressed concrete bridge

  • Wang, Ming L.;Xu, Fan L.;Lloyd, George M.
    • Structural Engineering and Mechanics
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    • v.10 no.1
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    • pp.37-51
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    • 2000
  • Identification of damage location based on modal measurement is an important problem in structural health monitoring. The damage index method that attempts to evaluate the changes in modal strain energy distribution has been found to be effective under certain circumstances. In this paper two damage index methods using bending strain energy and shear strain energy have been evaluated for numerous cases at different locations and degrees of damage. The objective is to evaluate the feasibility of the damage index method to localize the damage on large span concrete bridge. Finite element models were used as the test structures. Finally this method was used to predict the damage location in an actual structure, using the results of a modal survey from a large concrete bridge.

A Noise-Reduced Risk Aversion Index

  • Park, Beum-Jo;Cho, Hong Chong
    • Journal of Information Technology Applications and Management
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    • v.25 no.1
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    • pp.67-85
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    • 2018
  • We propose a noise reduced risk aversion index for measuring risk aversion through a laboratory experiment to overcome disadvantages of the multiple pricing list format developed by Holt and Laury (2002). We use randomized multiple list choices with coarser classification and reward weighting, supplement the rank of risk aversion with extra individual characteristics of risk attitude, and construct an index of risk aversion by standardizing the risk aversion ranking with quantile normalization. Our method reduces multiple switching problems that noisy decision makers mistakenly commit in experimental approaches, so that it is free of the framing effect which severely occurred in the HL. Furthermore, the index doesn't utilize any specific utility function or probability weighting, which allows researcher to hold the independence axiom. Since our noise reduced index of risk aversion has many good traits, it is widely used and applied to reveal fundamental characteristics of risk-related behaviors in economics and finance regardless of experimental environment.

Body Mass Index, Body Weight Perception, and Depressed Mood in Korean Adolescents

  • Lim, Yooli;Kim, Bongseog
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.28 no.1
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    • pp.31-37
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    • 2017
  • Objectives: We examined the relationships between the body mass index, body weight perception, and depressed mood in a nationally representative sample of Korean adolescents. Methods: We analyzed the data from the 2013 Korean Youth Risk Behavior Web-based Survey and evaluated the relationships between the body mass index, body weight perception, and depressed mood by gender (36655 boys and 35780 girls). Results: For boys, a low body mass index and perceiving oneself as underweight were related to depressed mood. For girls, both low and high body mass indices were negatively related to depressed mood. In addition, self-perceptions of being underweight or overweight were positively related to depressed mood. Body weight perception was not a significant mediator in the relationship between body mass index and depressed mood. Conclusion: These results suggest that both body mass index and body weight perception significantly contribute to Korean adolescents' depressed mood. Thus, research and clinical attention needs to be given to underweight as well as overweight adolescents, because those who perceive their weight as not normal are at risk for depression.