• The Journal of Internal Korean Medicine
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• v.44 no.5
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• pp.1083-1091
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• 2023

Objectives: The purpose of this study was to report a case of a woman with intractable hiccups after a traffic accident through Korean medicine treatment. Methods: A combination of treatments, including herbal medicine (Soshiho-tang), pharmacopuncture, acupuncture, Chuna, cupping, and moxibustion, was administered to the patient for 21 days. The frequency and duration of hiccups, the degree of body shaking, and total sleep time were measured daily. The accompanying symptoms were measured daily using the Visual Analogue Scale. Results: After Korean medicine treatment, Hiccup symptoms disappeared. Further, the degree of clinical symptoms and QOL improved significantly after Korean medicine treatment. No adverse events were observed. Conclusions: This study suggests that Korean medicine treatment can be an effective treatment for intractable hiccups after traffic accidents.

• Journal of Environmental Science International
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• v.32 no.11
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• pp.833-840
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• 2023

Insect-healing program is designed for farm use, and this study attempted to scientifically investigate its healing effect based on application methods. The insects used in the program are Trypoxylus dichotomus, Papilio xuthus, and Bombyx mori. Insect-healing program was conducted on 61 adults of over 50 years old and at two different farms for 12 weeks. Stress, anxiety, insomnia, and cognitive function were measured through pre- and post-surveys. Result of the analysis showed that cognitive function changed positively in direct experienced group (those that encountered live insects) and indirect experience group (those that encountered insects only through photos and videos). However, psychological variables such as stress and anxiety decreased and sleep time increased significantly only in the direct experienced group. These results demonstrate that an agro-healing program that involve the use of insect must include activities such as raising and taking care of live insect to achieve positive psychological healing effects.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.199-208
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• 2023

The emergence of COVID-19 virus has shaken almost every aspect of human life including but not limited to social, financial, and economic changes. One of the most significant impacts was obviously healthcare. Now though the pandemic has been over, its aftereffects are still there. Among them, a prominent one is people lifestyle. Work from home, enhanced screen time, limited mobility and walking habits, junk food, lack of sleep etc. are several factors that have still been affecting human health. Consequently, diseases like diabetes, high blood pressure, anxiety etc. have been emerging at a speed never witnessed before and it mainly includes the people at young age. The situation demands an early prediction, detection, and warning system to alert the people at risk. AI and Machine learning has been investigated tremendously for solving the problems in almost every aspect of human life, especially healthcare and results are promising. This study focuses on reviewing the machine learning based approaches conducted in detection and prediction of diabetes especially during and post pandemic era. That will help find a research gap and significance of the study especially for the researchers and scholars in the same field.

• The Journal of Korean Academic Society of Nursing Education
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• v.30 no.1
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• pp.49-60
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• 2024

Purpose: The coronavirus disease 2019 (COVID-19) pandemic has had significant physical and psychological impacts on registered nurses (RNs). This study aimed to identify long COVID symptoms and their associated factors specifically among RNs. Methods: This descriptive correlational study's sample comprised 189 nurses (31.57±5.98 years, 93.7% female) in Korea. Self-reported long COVID symptoms were assessed using the COVID-19 Yorkshire Rehabilitation Scale. Data were collected from December 31, 2022, to January 13, 2023, using the online survey method and were analyzed using independent t-test, Wilcoxon signed-rank test, one-way ANOVA, Pearson's correlation, and a multiple linear regression analysis with the IBM SPSS Statistics 26.0 program. Results: A total of 179 participants (94.7%) experienced one or more long COVID symptoms. The most prevalent symptoms were weakness (77.8%), fatigue (68.3%), breathlessness (67.7%), cough/throat sensitivity/voice change (50.3%), and sleep problems (50.3%). The factors related to long COVID symptoms were marital status, type of institution, working time, acute COVID-19 symptoms, and vaccination status. The quarantine period (β=.26, p<.001) and the nursing workforce after COVID-19 (β=-.17, p=.018) were significantly associated with long COVID symptoms (Adjusted R² =.33). Conclusion: Providing comprehensive recognition is necessary for the understanding of long COVID symptoms and their associated factors among nurses and could promote a long COVID symptom management education program targeted at nurses. Moreover, it could facilitate effective nursing care and education plans for long COVID patients.

• Journal of the Korean Dietetic Association
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• v.30 no.2
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• pp.140-151
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• 2024

This study evaluated the effectiveness of an obesity program developed to solve 'obesity', which was selected as the top priority for urgent improvement among the dietary problems of elementary school students in Busan. The program aimed to practice four health rules every day (sleep early, eat two vegetables with each meal, reduce sugary snacks, and exercise for 30 minutes every day). The participants were trained to practice the four rules online in real time every day for three weeks, and their performance in nutrition education tasks was monitored using Padlet. The anthropometric measurements showed no change in the overall average weight before and after participating in the program, but all students grew in height (z=-6.978, P<0.001), and the number of obese students decreased significantly (z=-3.317, P<0.001). This obesity program was effective in improving height growth and obesity in elementary school students. In terms of dietary changes, after participating in the program, the frequency of vegetable consumption increased significantly (z=-4.849, P<0.001), the frequency of sweet snack consumption decreased significantly (z=-4.298, P<0.001), and the bedtime improved (z=-1.000). Therefore, the non-face-to-face, self-directed obesity program developed in this study is expected to reduce the workload of nutrition teachers carrying a heavy workload such as meal service and nutrition classes, and can be used as an efficient nutrition counseling program.

• The Transactions of the Korea Information Processing Society
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• v.1 no.3
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• pp.367-379
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• 1994

This paper describes scheduling algorithms of the UNIX operating system and shows an analytical approach to approximate the average conditional response time for a process in the UNIX operating system. The average conditional response time is the average time between the submittal of a process requiring a certain amount of the CPU time and the completion of the process. The process scheduling algorithms in thr UNIX system are based on the priority service disciplines. That is, the behavior of a process is governed by the UNIX process schuduling algorithms that (ⅰ) the time-shared computer usage is obtained by allotting each request a quantum until it completes its required CPU time, (ⅱ) the nonpreemptive switching in system mode and the preemptive switching in user mode are applied to determine the quantum, (ⅲ) the first-come-first-serve discipline is applied within the same priority level, and (ⅳ) after completing an allotted quantum the process is placed at the end of either the runnable queue corresponding to its priority or the disk queue where it sleeps. These process scheduling algorithms create the round-robin effect in user mode. Using the round-robin effect and the preemptive switching, we approximate a process delay in user mode. Using the nonpreemptive switching, we approximate a process delay in system mode. We also consider a process delay due to the disk input and output operations. The average conditional response time is then obtained by approximating the total process delay. The results show an excellent response time for the processes requiring system time at the expense of the processes requiring user time.

• Sleep Medicine and Psychophysiology
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• v.24 no.1
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• pp.46-54
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• 2017

Objectives: Domestic violence is related to many psychiatric diseases, such as depression, anxiety disorder, and PTSD. Heart rate variability (HRV) is an index of autonomic control of the heart and is related to cardiovascular and emotional disorders. Although there have been some studies on the effects of domestic violence on women's mental health, relatively little information is available on HRV in this population. The aim of this study is to investigate demographic data, psychological features, and HRV in female victims of domestic violence and difference between Korean and foreign female victims. Methods: A total of 210 female victims of domestic violence (166 Korean women and 44 foreign women) were recruited for this study. Psychological symptoms were measured using the Hamilton Rating Scale for Anxiety (HAM-A), Hamilton Rating Scale for Depression (HAM-D), and Impact of Event Scale-Revised (IES-R). HRV measures were assessed by time-domain and frequency-domain analyses. Results: The mean score of HAM-A was 13.81, that of HAM-D was 12.92, and that of IES-R was 33.61 ; there were no significant differences between Korean and foreign women in these measures. In HRV time domain analyses, approximate entropy (ApEn) was significantly increased in foreign women compared to the Korean women. The square root of the mean of the sum of the squares of differences between adjacent NN intervals (RMSSD) was significantly decreased in foreign women compared to Korean women. There were no significant differences in the other HRV variables between Korean and foreign women. Conclusion: Female victims of domestic violence in Korea are associated with depression, anxiety, and PTSD symptoms. The physiologic factors of a female victim's nationality could be related to higher ApEn and lower RMSSD in foreign female victims. These findings have important implications for future study to study the relationships among ethnic and environmental factors and HRV variables.

• Korean Chemical Engineering Research
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• v.60 no.2
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• pp.249-254
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• 2022

With the rapid advance of the semiconductor and Information and communication technologies, remote environment monitoring technology, which can detect and analyze surrounding environmental conditions with various types of sensors and wireless communication technologies, is also drawing attention. However, since the conventional remote environmental monitoring systems require external power supplies, it causes time and space limitations on comfortable usage. In this study, we proposed the concept of the self-powered remote environmental monitoring system by supplying the power with the levitation-electromagnetic generator (L-EMG), which is rationally designed to effectively harvest biomechanical energy in consideration of the mechanical characteristics of biomechanical energy. In this regard, the proposed L-EMG is designed to effectively respond to the external vibration with the movable center magnet considering the mechanical characteristics of the biomechanical energy, such as relatively low-frequency and high amplitude of vibration. Hence the L-EMG based on the fragile force equilibrium can generate high-quality electrical energy to supply power. Additionally, the environmental detective sensor and wireless transmission module are composed of the micro control unit (MCU) to minimize the required power for electronic device operation by applying the sleep mode, resulting in the extension of operation time. Finally, in order to maximize user convenience, a mobile phone application was built to enable easy monitoring of the surrounding environment. Thus, the proposed concept not only verifies the possibility of establishing the self-powered remote environmental monitoring system using biomechanical energy but further suggests a design guideline.

• Journal of the Korea Convergence Society
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• v.1 no.1
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• pp.41-47
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• 2010

This study was conducted to investigate determinent factors of the internet addiction that have influenced on middle school students. We randomly selected each one middle school in urban and rural areas, and conducted survey in 862 students of 2nd and 3rd grade from September 1 to 15, 2005. By using a statistical program called SPSS10.0, the data collected thereby were analyzed through a series of statistical methods including $x^2$-test, logistic regression analysis. The result of logistic regression analysis showed that the significant variables in urban area were resting time and using time a day. In rural area, sex, economic level, resting time and using time a day were significant variables. Higher status of internet addiction showed significant relationship with physical problems, anxiety, maladjustment to school, insufficient sleep time, fatigue in eyes, headache, pain in neck or shoulder, chronic fatigue, reduced vision, weight reduction, indigestion, xeroderma and adjustment to school. Especially, resting time and using time a day have dominant influence on internet addiction. And in case that the groups who showed high addiction tendency, there were negative health problem by physical, mental and social problem. To prevent internet addiction health education programs of right internet use and time, importance of rest, and health problems must be considered in internet addiction prevention policy.

• Journal of the Korean Society of Food Science and Nutrition
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• v.44 no.7
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• pp.1007-1015
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• 2015

This study investigated the correlation between smartphone addiction and eating behaviors of 288 elementary school students (fifth and sixth grades) in the Ansan area. Addiction and normal groups consisted of 29 (10.1%) and 259 students (89.9%). Average usage time of the smartphone addiction group was higher than that of the normal group (P<0.001). Percentages of using a smartphone when eating meals as well as skipping meals due to using a smartphone were also higher in the addiction group than the normal group (P<0.01). Degree of reduction of physical activity and sleep disorders due to using a smartphone were higher in the addiction group than the normal group (P<0.001). However, nutritional knowledge related to protein and dietary life scored lower in the addiction group than the normal group (P<0.05). Correlation between smartphone usage time and eating behaviors was as follows: smartphone usage time on weekdays increased with elevated usage time on weekends in the addiction group (+0.742) (P<0.001) and the normal group (+0.762) (P<0.001). Frequency of snack intake in the addiction group increased with elevated usage time on weekdays (+0.460) (P<0.05). Sleeping time of the normal group decreased with elevated usage time on weekdays (-0.150) (P<0.05), and good eating behaviors decreased with elevated usage time the on weekend (-0.143) (P<0.05). Consequently, smartphone addiction in elementary school students showed negative eating behaviors. Therefore, effective nutritional education programs and national support policy are required to solve problems of unhealthy eating behaviors from smartphone usage in elementary school students.