• Korean Journal of Family Social Work
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• no.58
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• pp.97-122
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• 2017

The purpose of this study was to identify the longitudinal patterns of marital satisfaction, characteristics of each pattern, influencing factors and the difference on self-esteem, among married couples who experienced unemployment. To achieve this, the 443 married couples, who were initially employed in the first year but unemployed in next 5 years were extracted from the $2^{nd}$ to $11^{st}$ waves of Korean Welfare Panel Study(KoWePS) data. The results showed that there are five patterns on marital satisfactions of couple who experienced unemployment: maintaining low-level, mid-level, continuous declining, rebound after sharp declining, and maintaining high-level. In addition to this, the groups that maintain the marital satisfaction showed higher self-esteem than the groups that showed positive or negative change in marital relationship. Based on these results, this study suggested political and practical intervention to maintain the satisfaction of marital relationship and their self-esteem in a high level.

• Journal of The Korean Association For Science Education
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• v.42 no.2
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• pp.253-264
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• 2022

The purpose of this study is to examine the practice of scientists from the perspective of Ian Hacking's 'creation of phenomena'. Scientific phenomena, according to Hacking, are regular and do not exist in nature without the intervention of scientists or experimental tools. This study tries to derive scientific educational meaning by analyzing the thoughts and episodes of the 'Sontanda (inter-individual variability)' phenomenon experienced by four life scientists. The Sontanda phenomenon is a common term used by scientists to describe phenomena in which findings do not appear consistently even when studies are carried out using the same experimental procedure and materials. The following four educational implications were discovered as a result of the research. First, we confirmed the importance of embodied knowledge, or non-verbal knowledge, which solves issues by making appropriate judgments and reactions at all times, rather than simply becoming accustomed to the experimental method. This argues that propositional knowledge and non-verbal knowledge should be handled equally in order to provide students with a practical scientific inquiry. Second, we tried to reconsider the picture of the experiment. The phenomenon revealed in the interviews of scientists is rare, and it takes a long time to stabilize the phenomenon. On the other hand, the image of school experiments is always positive and consistent, necessitating a shift in perspective. Third, the precise meaning of scientific practice could be confirmed. This study confirms that scientists use their knowledge effectively in line with the circumstances, and we examined strategies to apply scientific practice to school instruction based on this. Finally, by provoking uncertainty, the Sontanda phenomena may give students with an opportunity to engage in meaningful scientific involvement. By breaking away from the cookbook experiment, this study expects school experimental education to help in efforts to experience scientific practice.

• Journal of Pharmacopuncture
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• v.25 no.3
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• pp.233-241
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• 2022

Objectives: Asthma is a chronic disease, and the demand for herbal medicines in this field has increased in recent years. The new findings highlight the role of the gut-lung axis in the pathophysiology of asthma. Hence, this study will evaluate the safety and efficacy of Glasthma syrup, an herbal formula based on Persian medicine, in improving asthma and regulating intestinal permeability. The formula consists of five herbal ingredients that have anti-inflammatory effects on the respiratory tract, also known as gut tonics. Methods: The study will be conducted as a placebo-controlled, triple-blind, randomized trial. It will consist of a 4-week intervention followed by a 4-week follow-up period. The target sample size is 20 patients with moderate asthma aged 18 to 60 years. Eligible participants will be randomly assigned to either the experimental group or the control group in equal numbers. Patients in the experimental group will take Glasthma syrup (7.5 mL, twice a day), while patients in the control group will take a matching placebo. Both groups will receive a 4-week combination of a long-acting beta2 agonist and a leukotriene modulator as standard of care. Inhaled corticosteroids can be used as rescue medication as needed. Results: The primary outcomes are asthma symptom scale, lung function, and intestinal permeability. Secondary outcomes include quality of life, symptom recurrence rates, and blood tests. A safety assessment will also be conducted during the trial. Conclusion: In this trial, the effects of Glasthma syrup in patients with moderate asthma will be examined. The study will also assess the effects of the formulation on the gut-lung axis by simultaneously monitoring the gut permeability index, asthma symptoms, and lung function.

• Journal of the Korean School Mathematics Society
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• v.26 no.2
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• pp.111-135
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• 2023

This study conducted a student-centered inquiry lesson on the similarity of figures using AlgeoMath, with student learning aspects analyzed from a communication perspective. This approach aimed to inform pedagogical implications related to teaching geometric similarity. Through utilizing AlgeoMath, students were able to visually confirm that their chosen figures were similar, experiencing key mathematical concepts such as the ratio of similarity to the area of similar figures, and congruency and similarity conditions of triangles. In the lessons applying this concept, we categorized the features of similarity learning displayed by students, as seen in the communication aspects of their exploratory activities, into 'Understanding similarity ratios', 'Grasping conditions of similarity in triangles', and 'Comparing concepts of congruency and similarity'. Through exploratory activities based on AlgeoMath, students discussed the meaning and mathematical relationships of key concepts related to similarity, such as the ratio of similarity to the area of figures, and the meaning and conditions of congruence and similarity in triangles. By improving misconceptions about the similarity of figures, they were able to develop deeper mathematical understanding. This study revealed that in teaching and learning the geometric similarity using AlgeoMath, obtaining meaningful pedagogical outcome was not solely due to the features of the AlgeoMath environment, but also largely depended on the teacher's guidance and intervention that stimulated students' thinking.

• The Korean Journal of Woman Psychology
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• v.17 no.3
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• pp.457-474
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• 2012

In order to understand the gender differences in factors affecting willingness for self-sufficiency, this study examined the level of willingness for self-sufficiency of 424 male and female program participants from 36 local self-sufficiency centers nation-wide in Korea, and investigated the factors affecting willingness for self-sufficiency. The results show that, in the male group, age, debt, and family support were statistically significantly associated with willingness for self-sufficiency while depressed mood, professionals ' support, and family support were significantly associated in the female group. While males' willingness for self-sufficiency were found to be higher with older age, possessing no debt, and higher family support, femails' willingness for self-sufficiency were found to be higher when they felt less depressed, and received more support from professionals and their family. Based on these findings, it was confirmed that family support played an important role both in male and female participants, and was found that different factors were associated with willingness for self-sufficiency in male and female program participants. It was also discussed that policy and micro-level intervention need to consider the gender differences in promoting willingness for self-sufficiency.

• Therapeutic Science for Rehabilitation
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• v.9 no.1
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• pp.56-68
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• 2020

Objective : This study introduces domestic and overseas systematic assessment tools that can identify eating problems of dementia patients based on abnormal behavior observations and turns them into Korean through the verification of content placement by expert groups. Methods : Three types of assessment tools were selected for final development in Korean version through several meetings based on a wide range of relevant literature searches. The 3 selected assessment tools were first translated by the researchers, and a 9-person expert team was used to verify the Content Validity Index. Results : The EBS content equivalence calculation shows that all 6 questions and 1 response item had a CVI value 0.9, and all items were included in Korean EBS without modification. The EdFED content equivalence calculation showed that all 11 questions had CVI value 0.9, which was included in the Korean edition of EdFED without modification. The content equivalence calculation of the FDI showed that all 19 questions had a CVI of 0.8 or higher, and all items were included in the Korean version of the FDI without modification of the item. Conclusion : Korean versions of the EBS, EdFED and FDI, which are based on behavioral observation and diet tools for people with dementia, have been developed. Early determination of problems related to diet in dementia patients and providing proper intervention through observational Korean version assessment tools is vital in terms of strengthening patient nutrition and reducing caregivers' burden.

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.187-201
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• 2011

KOSPI200 index is the Korean stock price index consisting of actively traded 200 stocks in the Korean stock market. Its base value of 100 was set on January 3, 1990. The Korea Exchange (KRX) developed derivatives markets on the KOSPI200 index. KOSPI200 index futures market, introduced in 1996, has become one of the most actively traded indexes markets in the world. Traders can make profit by entering a long position on the KOSPI200 index futures contract if the KOSPI200 index will rise in the future. Likewise, they can make profit by entering a short position if the KOSPI200 index will decline in the future. Basically, KOSPI200 index futures trading is a short-term zero-sum game and therefore most futures traders are using technical indicators. Advanced traders make stable profits by using system trading technique, also known as algorithm trading. Algorithm trading uses computer programs for receiving real-time stock market data, analyzing stock price movements with various technical indicators and automatically entering trading orders such as timing, price or quantity of the order without any human intervention. Recent studies have shown the usefulness of artificial intelligent systems in forecasting stock prices or investment risk. KOSPI200 index data is numerical time-series data which is a sequence of data points measured at successive uniform time intervals such as minute, day, week or month. KOSPI200 index futures traders use technical analysis to find out some patterns on the time-series chart. Although there are many technical indicators, their results indicate the market states among bull, bear and flat. Most strategies based on technical analysis are divided into trend following strategy and non-trend following strategy. Both strategies decide the market states based on the patterns of the KOSPI200 index time-series data. This goes well with Markov model (MM). Everybody knows that the next price is upper or lower than the last price or similar to the last price, and knows that the next price is influenced by the last price. However, nobody knows the exact status of the next price whether it goes up or down or flat. So, hidden Markov model (HMM) is better fitted than MM. HMM is divided into discrete HMM (DHMM) and continuous HMM (CHMM). The only difference between DHMM and CHMM is in their representation of state probabilities. DHMM uses discrete probability density function and CHMM uses continuous probability density function such as Gaussian Mixture Model. KOSPI200 index values are real number and these follow a continuous probability density function, so CHMM is proper than DHMM for the KOSPI200 index. In this paper, we present an artificial intelligent trading system based on CHMM for the KOSPI200 index futures system traders. Traders have experienced on technical trading for the KOSPI200 index futures market ever since the introduction of the KOSPI200 index futures market. They have applied many strategies to make profit in trading the KOSPI200 index futures. Some strategies are based on technical indicators such as moving averages or stochastics, and others are based on candlestick patterns such as three outside up, three outside down, harami or doji star. We show a trading system of moving average cross strategy based on CHMM, and we compare it to a traditional algorithmic trading system. We set the parameter values of moving averages at common values used by market practitioners. Empirical results are presented to compare the simulation performance with the traditional algorithmic trading system using long-term daily KOSPI200 index data of more than 20 years. Our suggested trading system shows higher trading performance than naive system trading.

• Journal of East-West Nursing Research
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• v.5 no.1
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• pp.36-49
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• 2000

This study aims to provide the fundamental data for substantial nursing intervention in the elderly through a comparative appreciation on family support, self-esteem, and health status between the institutionalized elderly people and the home-staying ones. The subjects of this study are the institutionalized 108 elderly people of E and C Public Homes and the home-staying 109 elderly ones of O-Nho In Jeong(a kind of public recreational facilities for the aged) over the age of 65. The instruments for this research are based upon the tool(11 items, 5 points for each) for measuring family support developed by Choi, Young Hee(1984), a self-esteem scale done by Rosenberg (1965), the tools(20 items) for checking the health status of the elderly done by Lee, Young-Ja(1989). The sampling for this study has been carried on from July, 2000 until November, 2000. Questionnaire data were drawn up by personal interviews. The analyses of collected data are based on general characteristics calculated at the rate of 100 percentage to the average, t-test, ANOVA(some difference on a level with p<.05 being subsequently confirmed by DMR) for family support, self-esteem and health status, and Pearson Correlation to verify the hypothetical correlation among the subjects' family support, self-esteem and health status. The results of this study are as follows: 1. The difference between two groups in the light of family support, self-esteem and health status. (1) Family support - The rate of the family support that the institutionalized elderly people perceive turned out to be 22.13, that of the home-staying ones 30.99. (2) Self-esteem - The rate of the self-esteem that the former perceives proved to be 25.59, that of the latter 32.28. (3) Health Status - The rate of the health status that the former perceives turned out to be 39.67, that of the latter 51.60. 2. Family support, self-esteem, health status in terms of demographic characteristic (1) Family support - The group of institutionalized elderly people shows a tendency to be chiefly influenced by the death or life of the spouse and the number of the children; the group of the home staying ones to be chiefly influenced by the educational level (2) Self-esteem - The group of institutionalized elderly people shows a tendency to be chiefly influenced by educational level; the group of the home staying ones to be chiefly influenced by the amount of pocket money, the pocket money provider and the family main supporter. (3) Health Status - The group of institutionalized elderly people shows a tendency to be chiefly influenced by educational level; the group of the home staying ones to be chiefly influenced by age, the death or life of spouse, religion, and the educational level. 3. Correlation among family support, self-esteem, and health status The rate of correlation between family support and health status proved to be the highest (r=.549). After came the rate of correlation between health status and self-esteem, which turned out to be(r=.506). The last came the rate of correlation between family support and self-esteem, which proved to be(r=.406). According to this study, there is a conspicuously close correlation among family support, self-esteem, and health status for the elderly. Thus, it would be indispensable to seek out a variety of nursing intervention ways how the elderly could promote family support, self-esteem, and health status.

• Korean Journal of Biological Psychiatry
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• v.20 no.2
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• pp.31-39
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• 2013

The geriatric patients with chronic physical diseases are frequently associated with the continuous clusters of depression including nonpathological sadness, subsyndromal depression, minor depressive disorder, and major depressive disorder. Because of the complex and reciprocal relationships among depression, elderly, and chronic physical diseases, screening approaches with specific nosological methods should be needed in the realm of early detection of depression. Cognitive decline is frequently manifested in geriatric depression with medical or neurological diseases. Also, somatic symptoms of depression or emotional symptoms of physical diseases can play a role as a hampering factor in the early detection of depression. Furthermore, after-care has been regarded as an essential factor of depression screening in the geriatric patients with chronic physical diseases. We reviewed the most popular examples of integrated medicine for depression in primary care. Thus, we propose a general hospital-based model for early detection of depression which includes favorable response loop between screening and therapeutic intervention. Our model can be a basis for evidence-based detection and after-care for depression in the geriatric patients with chronic medical diseases.

• The Journal of Korean Medicine
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• v.41 no.2
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• pp.58-79
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• 2020

Objectives: The purpose of this study is to predict the weight loss by applying machine learning using real-world clinical data from overweight and obese adults on weight loss program in 4 Korean Medicine obesity clinics. Methods: From January, 2017 to May, 2019, we collected data from overweight and obese adults (BMI≥23 kg/m2) who registered for a 3-month Gamitaeeumjowi-tang prescription program. Predictive analysis was conducted at the time of three prescriptions, and the expected reduced rate and reduced weight at the next order of prescription were predicted as binary classification (classification benchmark: highest quartile, median, lowest quartile). For the median, further analysis was conducted after using the variable selection method. The data set for each analysis was 25,988 in the first, 6,304 in the second, and 833 in the third. 5-fold cross validation was used to prevent overfitting. Results: Prediction accuracy was increased from 1^st to 2^nd and 3^rd analysis. After selecting the variables based on the median, artificial neural network showed the highest accuracy in 1^st (54.69%), 2^nd (73.52%), and 3^rd (81.88%) prediction analysis based on reduced rate. The prediction performance was additionally confirmed through AUC, Random Forest showed the highest in 1^st (0.640), 2^nd (0.816), and 3^rd (0.939) prediction analysis based on reduced weight. Conclusions: The prediction of weight loss by applying machine learning showed that the accuracy was improved by using the initial weight loss information. There is a possibility that it can be used to screen patients who need intensive intervention when expected weight loss is low.