• Journal of Nutrition and Health
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• v.41 no.4
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• pp.307-316
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• 2008

The purpose of the study was to investigate nutritional status of chronic obstructive pulmonary disease (COPD) patients and to find out the differences according to the stages of disease. From March to October, 2006, 41 stable male patients of mild to severe COPD patients were recruited from Seoul National University hospital. The patients' of body weight and fat free mass were assessed by bioelectrical impedance analysis. The nutritional status of the patients was also assessed by 3-day recall, index of nutritional quality (INQ), dietary diversity score (DDS), dietary variety score (DVS), food group index pattern and dietary quality index (DQI). The total of 41 patients were classified into three groups, stage I, stage II and stage III groups according to the classification of Global Initiative for Chronic Obstructive Lung Disease (GOLD) standard. The mean age of the patients in each stage were 67.2-66.9 years showing no significant difference. The ratio of $FEV_1$/FVC were $57.5{\pm}7.3$, $46.9{\pm}7.6$ and $38.2{\pm}6.8%$, respectively showing significant differences according to the stages of disease. The fat free mass of the stage II ($48.2{\pm}4.7kg$) and III ($47.3{\pm}4.5kg$) was significantly lower than that of stage I ($53.1{\pm}6.9kg$) patients. There were significant correlation of fat free mass with $FEV_{1}$, and BMI (body mass index) with $FEV_{1}$/FVC ratio (p < 0.05). COPD patients showed the diet-related clinical symptoms of anorexia, dyspnea, dyspepsia, and chewing difficulty. Daily intakes of calorie, K, vitamin $B_2$ and folate of the patients were very low ($83.8{\pm}20.7%$, $58.9{\pm}14.4%$, $70.7{\pm}19.6%$ and $74.4{\pm}10.2%$, respectively) however, they did not significantly different according to the stages of disease. Daily intake of calcium was significantly lower in the stage III patients (p < 0.05). The mean scores of dietary variety score was significantly lower in the stage III patients (p < 0.001). Dietary quality index of the patients were not different among the stages of disease and the scores indicated poor quality of diet. As a summary, we found that body fat free mass, regularity of exercise, frequency of having snacks and dietary variety score were significantly associated with the severity of chronic obstructive pulmonary disease.

• Journal of Industrial Convergence
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• v.21 no.12
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• pp.55-62
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• 2023

Recent ransomware attacks employ various techniques and pathways, posing significant challenges in early detection and defense. Consequently, the scale of damage is continually growing. This paper introduces a machine learning-based approach for effective ransomware detection by focusing on file encryption and encryption patterns, which are pivotal functionalities utilized by ransomware. Ransomware is identified by analyzing password behavior and encryption patterns, making it possible to detect specific ransomware variants and new types of ransomware, thereby mitigating ransomware attacks effectively. The proposed machine learning-based encryption behavior detection technique extracts encryption and encryption pattern characteristics and trains them using a machine learning classifier. The final outcome is an ensemble of results from two classifiers. The classifier plays a key role in determining the presence or absence of ransomware, leading to enhanced accuracy. The proposed technique is implemented using the numpy, pandas, and Python's Scikit-Learn library. Evaluation indicators reveal an average accuracy of 94%, precision of 95%, recall rate of 93%, and an F1 score of 95%. These performance results validate the feasibility of ransomware detection through encryption behavior analysis, and further research is encouraged to enhance the technique for proactive ransomware detection.

• Journal of Korean Home Economics Education Association
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• v.17 no.3 s.37
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• pp.83-96
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• 2005

To assess the food intake and diet quality of high school students who live in Chuncheon area, a dietary survey using 24-hour recall method was conducted with 318 subjects. $71.4\%$ of total food intake was in the form of plant foods and the rest on the form of animal food. Diet quality was assessed by food group pattern, dietary diversity score(DDS), and dietary variety score(DVS). When counting the major food groups consumed, $37.1\%$ of subjects had a DDS of 3 and $48.4\%$ of subjects had a DDS of 4. When investigating the consumption pattern of the major five food groups, only $14.5\%$ of subjects consumed foods from all five groups. On average, subjects habitually consumed 26.7 different foods daily, with the mean score of diet variety for males (27.3) being significantly higher than for females (25.8) . Correlation coefficients between nutrient adequacy ratio (NAR) and DVS ranged from r=0.39 for vitamin $B_2$ to r=0.61 for phosphorus. NAR also improved as the number or foods or rna groups consumed increased (p<0.001). Associations between the NAR and high level of DVS was more positive than those between the NAR with DDS. When assessing the dietary quality of subjects using DDS and DVS, many people appeared not to have a desirable food intake. Therefore, to lead them to have nutritionally balanced diet, educating students and their parents on nutrients and suggesting guidelines for a desirable diet is considered to be essential so that they can intake from all of major food group and have various foods in their diet.

• Journal of Nutrition and Health
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• v.52 no.4
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• pp.342-353
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• 2019

Purpose: The Dietary Reference Intakes for Koreans (KDRIs) suggest that the goal for the intake of sodium should be less than 2,000 mg, which is thought to be infeasible to achieve when eating the typical Korean diet. This study aimed to obtain the new intake goals for sodium with improved feasibility to achieve, and also to design optimized food intake patterns for Korean adults by performing linear programming. Methods: The data from a one day 24-hour dietary recall of the 2010 ~ 2014 Korea National Health and Nutrition Survey were used to quantify food items that Korean adults usually consumed. These food items were categorized into seven groups and 24 subgroups. The mean intakes and intake distributions of the food groups and the food subgroups were calculated for eight age (19 ~ 29, 30 ~ 49, 50 ~ 64, and over 65 years old) and gender (male and female) groups. A linear programming model was constructed to minimize the difference between the optimized intakes and the mean intakes of the food subgroups while meeting KDRIs for energy and 13 nutrients, and not exceeding the typical quantities of each of the food subgroups consumed by the respective age and gender groups. As an initial solution of the linear programming, the optimized intake of seasonings, including salt, was calculated as 0 g for all the age and gender groups when the sodium constraint was inserted not to exceed 2,000 mg. Therefore, the sodium constraint was progressively increased by 100 mg until the optimized intake of seasoning was obtained as the values closest to the $25^{th}$ percentile of the intake distribution of seasonings for the respective age and gender groups. Results: The optimized food intake patterns were mathematically obtained by performing linear programming when the sodium constraint values were 3,600 mg, 4,500 mg, 4,200 mg, 3,400 mg, 2,800 mg, 3,100 mg, 3,100 mg, and 2,500 mg for the eight age and gender groups. Conclusion: The optimized food intake patterns for Korean adults were designed by performing linear programming after increasing the sodium constraint values from 2,000 mg to 2500 ~ 4,500 mg according to the age and gender groups. The resulting patterns suggest that current diets should be modified to increase the intake of vegetables for all the groups, milk/dairy products for the female groups, and fruits for the female groups except for the females aged 50 ~ 64 years.

• The Korean Journal of Food And Nutrition
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• v.19 no.1
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• pp.79-90
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• 2006

This study was performed to investigate the dietary behaviors and food intake patterns of university students according to the obesity index(OI). The subjects were 349 students(107 males and 242 females) who were assigned to one of the following groups based on the percentage of ideal body weight: underweight(OI< 90%), normal ($90%{\leq}Ol<10%$) and overweight($OI{\geq}110%$). The dietary behaviors and food intake patterns were evaluated by questionnaires and 24 hour recall method. The results were summarized as follows. The rates of underweight, normal, and overweight students were 33.8%, 61.0%, and 5.2% respectively. The ratios of underweight was higher than overweight, especially in case of female. The 60.46% of subjects responded that they had an irregular eating habits, especially in overweight group(72.22%). The 52.44% of subjects showed skipping mealtime more than one time per day. The overweight group had a tendency to overeat themselves than other groups. The normal group had less unbalanced dietary pattern than the other groups(p<0.0019). Most subjects had a snack(96.27%). The percentage of those who drank and smoked were 86.74% and 19.54%, respectively. The smoking value was significantly higher in the overweight group(p<0.0009). The food consumption frequency by food groups was not different among the groups except instant and fast food. More than 50% subjects consumed fish, legumes & its products, and vegetables everyday. There was significantly less rate of the instant and fast food consumption frequency in the normal group(p<0.0177). The 3/4 subjects that showed the lower consumed level in RDA(< 75%) were under-nutritional state in the Fe and Ca. In case of Ca, there was a higher NAR value in the overweight group(p<0.0257) significantly, and Fe, protein, vitamin $B_1$, vitamin $B_2$, and niacin showed similar tendencies. The INQ of Fe was significantly higher in the overweight group than other groups(p<0.0335).

• Journal of the Korean Society of Food Science and Nutrition
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• v.41 no.2
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• pp.205-212
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• 2012

This study was performed to investigate the prevalence of metabolic syndrome (MS) and assess nutrient intake levels for the purpose of improving MS risk factors. The participants in this study were 512 adults consisting of 271 men and 241 women aged 30 and over, who visited a public health center for a medical check up. The diagnosis of MS subjects was adapted from the NCEP-ATPIII guidelines and the WHO Asia-Pacific Area criteria for obesity. The MS group was defined as subjects displaying three or more risk factors, and the non MS group was defined as those displaying two or less risk factors. A dietary survey was conducted using the 24-hour recall method. The number of subjects displaying MS syndrome factors was 158 (30.9%), broken down into, 89 men and 69 women. Regarding risk factors in the MS group, the prevalence of waist circumference was 40.5%, hypertension 34.2%, hyperglycemia 31.0%, low HDL-cholesterol 24.7%, and hypertriglycemia 19.6%. BMI, sistolic blood pressure, blood glocose, blood triglyceride, and blood HCL-cholesterol of the MS group were significantly higher compared to the non MS group. Male subjects in the MS group reported high intakes of cereals, sugar, fruits, meat and poultry, oil and fats, and beverages and total food intake was significantly higher compared to the non MS group. Women in the MS group reported high intakes of meat and poultry, milk and dairy products, beverages, and seasonings, and total food intake was higher compared to the non MS group. Dietary diversity score (DDS) was 3.82~4.04, which was not significant among the groups. In men, dietary variety score (DVS) was 16.3 in the MS group and 19.4 in the non MS group, whereas in women, the DVS was 15.2 in the non MS group and 17.0 in the MS group. In GMVDF pattern, 11111 pattern was 30.7%, followed by 01111 for men and 11101 for women. Calorie, fat, and cholesterol intakes in men as well as, calorie, fat, and folate intakes in women in the MS group were higher compared to the non MS group. Intakes of protein, P, Fe, Na, vitamin $B_1$, vitamin $B_2$, niacin, vitamin E, and Zn were higher than the KDRIs. On the other hand, intakes of Ca, K, fiber, vitamin $B_2$, and vitamin C were below the KDRIs. Intakes of lipids, animal food, Na, and cholesterol in the MS group were higher compared to the non MS group, whereas intake of dietary fiber was lower. Our results indicate that continuous, systematic nutritional education program must implemented to reduce the risk factors associated with MS.

• Journal of the East Asian Society of Dietary Life
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• v.18 no.4
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• pp.436-445
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• 2008

Stroke is a serious disease despite recent improvements in the medical treatments available. Thirty-six stroke patients were interviewed as case and 36 non-stroke patients were interviewed as controls between February 2005 and August 2005 at Daegu S Medical Center. Information regarding the subjects' food habits was collected using the recall method from 5 years before the onset of stroke. Using interview techniques, we investigated how dietary habits and attitude influence nutrient intake. These results were analyzed by the $X^2$, Student's t-test and Chi-square test using the SPSS 12.0 program. This case-control study was performed to demonstrate the relationships among general quality factors (BMI, WHR, and family history of stroke) and lifestyle factors (smoking, exercise and alcohol drinking). The results were as follows. Analysis of the percentage of nutrient intake in terms of meal pattern showed that WHR was significantly higher in the case group than in the control group. Hypertension and diabetes were the most common preceding diseases associated with the risk of stroke. The frequencies of smoking, alcohol consumption (p<0.001) and exercise (p<0.05) were higher in the cases than in the controls. Thus, the findings of this study are consistent with those of previous studies and suggest that people should be advised to control hypertension, smoking, alcohol drinking and obesity in order to prevent the occurrence of stroke as these factors are major risk factors for stroke.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.43-56
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• 2020

Recommender systems help users make the best choice among various options. Especially, recommender systems play important roles in internet sites as digital information is generated innumerable every second. Many studies on recommender systems have focused on an accurate recommendation. However, there are some problems to overcome in order for the recommendation system to be commercially successful. First, there is a lack of transparency in the recommender system. That is, users cannot know why products are recommended. Second, the recommender system cannot immediately reflect changes in user preferences. That is, although the preference of the user's product changes over time, the recommender system must rebuild the model to reflect the user's preference. Therefore, in this study, we proposed a recommendation methodology using topic modeling and sequential association rule mining to solve these problems from review data. Product reviews provide useful information for recommendations because product reviews include not only rating of the product but also various contents such as user experiences and emotional state. So, reviews imply user preference for the product. So, topic modeling is useful for explaining why items are recommended to users. In addition, sequential association rule mining is useful for identifying changes in user preferences. The proposed methodology is largely divided into two phases. The first phase is to create user profile based on topic modeling. After extracting topics from user reviews on products, user profile on topics is created. The second phase is to recommend products using sequential rules that appear in buying behaviors of users as time passes. The buying behaviors are derived from a change in the topic of each user. A collaborative filtering-based recommendation system was developed as a benchmark system, and we compared the performance of the proposed methodology with that of the collaborative filtering-based recommendation system using Amazon's review dataset. As evaluation metrics, accuracy, recall, precision, and F1 were used. For topic modeling, collapsed Gibbs sampling was conducted. And we extracted 15 topics. Looking at the main topics, topic 1, top 3, topic 4, topic 7, topic 9, topic 13, topic 14 are related to "comedy shows", "high-teen drama series", "crime investigation drama", "horror theme", "British drama", "medical drama", "science fiction drama", respectively. As a result of comparative analysis, the proposed methodology outperformed the collaborative filtering-based recommendation system. From the results, we found that the time just prior to the recommendation was very important for inferring changes in user preference. Therefore, the proposed methodology not only can secure the transparency of the recommender system but also can reflect the user's preferences that change over time. However, the proposed methodology has some limitations. The proposed methodology cannot recommend product elaborately if the number of products included in the topic is large. In addition, the number of sequential patterns is small because the number of topics is too small. Therefore, future research needs to consider these limitations.

• Journal of Nutrition and Health
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• v.46 no.2
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• pp.177-185
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• 2013

The purpose of this study was to analyze the nutritional status of Chinese female college students in Korea, and to investigate changes in their dietary behavior after residing in Korea. The subjects included 114 Chinese female college students currently studying in Korea. General characteristics and dietary behaviors before and after residing in Korea were investigated. Daily nutrients and food intake were assessed using a one-day 24-hour recall. Consumption of most nutrients, namely calcium, iron, zinc, vitamin $B_2$, vitamin C, and folate was estimated to fall below the EAR for the Korean population. The proportions of subjects whose intake were estimated below the EAR for folate, calcium, vitamin $B_2$, iron, zinc, and vitamin C were 93.0%, 71.9%, 66.7%, 65.8%, 65.8%, and 63.2%, respectively. In the current study, the dietary behavior scores fell significantly after Chinese students immigrated to Korea (p < 0.001); increased frequency of meal skipping, less consumption of fruits and vegetables, irregular meal pattern, and imbalanced diet were some of the significant changes among Chinese students before and after residing in Korea. In addition, consumption of most nutrients, including dietary fiber, vitamin A, vitamin B group, vitamin C, and folate in the Worsened Group was significantly lower, compared with the No Change Group (p < 0.05). According to the changes in dietary behaviors, consumption of most nutrients, including dietary fiber, vitamin A, vitamin B group, vitamin C, and folate in the Worsened Group was significantly lower than in the No Change Group (p < 0.05). In conclusion, these results indicated that Chinese students practiced more unhealthy dietary behaviors after residing in Korea and Chinese students residing in Korea showed poor nutrient-based diet quality. Conduct of a follow-up study using blood profile tests is needed in order to assess the nutritional status of Chinese students. These results would be used in planning of a nutritional surveillance program for Chinese students.

• Journal of the Korean Society of Radiology
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• v.83 no.6
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• pp.1327-1341
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• 2022

Purpose To evaluate the pattern of use and the perception of digital breast tomosynthesis (DBT) among Korean breast radiologists. Materials and Methods From March 22 to 29, 2021, an online survey comprising 27 questions was sent to members of the Korean Society of Breast Imaging. Questions related to practice characteristics, utilization and perception of DBT, and research interests. Results were analyzed based on factors using logistic regression. Results Overall, 120 of 257 members responded to the survey (response rate, 46.7%), 67 (55.8%) of whom reported using DBT. The overall satisfaction with DBT was 3.31 (1-5 scale). The most-cited DBT advantages were decreased recall rate (55.8%), increased lesion conspicuity (48.3%), and increased cancer detection (45.8%). The most-cited DBT disadvantages were extra cost for patients (46.7%), insufficient calcification characterization (43.3%), insufficient improvement in diagnostic performance (39.2%), and radiation dose (35.8%). Radiologists reported increased storage requirements and interpretation time for barriers to implementing DBT. Conclusion Further improvement of DBT techniques reflecting feedback from the user's perspective will help increase the acceptance of DBT in Korea.