• Journal of Korean society of Dental Hygiene
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• v.8 no.1
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• pp.23-35
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• 2008

I got the following conclusion that analyzes the dental health recognition, attitude and the action of the students who major in health section executing questionnaire about dental health behaviors from March 3 through 26 with health-related university students in some area in order to arrange the fundamental data that manage their mouth health rationally by using the investigation and comparison by sex and department in dental health teaching. The results obtained were as follows : 1. A large number of students recognized dental health as an important problem, but they believed that the level of their knowledges on dental health was not so high and female students were more negative than male students with regards to their own dental health condition. 2. 49.8% of the students know about tap water fluoridation program control business and 60.7% agreed and boy's approval rate was higher than girl's. But 42.2% of the not-related buccal department's students have a reservation about tap water fluoridation program control business. 3. Average brushing number of the boy is 51.0% 2 times a day according to sex, A girl appeared highest by 48.3% 3 times a day and there was statistically significantly different according to (pE0.01). there wasn't statistically significantly different according to department. Also, the period of the brushing was the most right after a breakfast, in the order of before sleep and after dinner. 4. Whether they go to the dentist's or not, 90.8% of them say 'yes', the result showed statistically significant difference according to sex (pE0.01), but It didn't show statistically significant difference according to department. Also, the purpose for visiting the dentist's office lately was the most caries treatment. and there was statistically significantly different according to sex (pE0.01), but there was not statistically significantly different according to department. 5. Oral health education-related subject approval's rate when the education course open is 65.0% there was statistically significantly different according to department (pE0.01). Also when oral health education-related subject as the liberal arts open' the rate of taking a course application showed 50.2% high appear. there was statistically significantly different according to department(pE0.01).

• Korean Journal of Psychosomatic Medicine
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• v.17 no.1
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• pp.30-36
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• 2009

Objectives : Thyroid function is associated with psychiatric disturbance such as mood symptoms, cognitive functions, anxiety and sleep problem. We evaluate the effects of thyroid dysfunction on negative symptoms of schizophrenia, mood symptoms and somatic symptoms in patients with schizophrenia. Methods : Sixty five patients with schizophrenia were recruited. The patients were classified into two groups; the patients with the history of abnormal thyroid indices level(group of abnormal thyroid function) and the patients without the history of normal thyroid indices level(group of normal thyroid function). At baseline and 8 weeks later, psychiatric symptoms were assessed with the Scale for the Assessment of Negative Symptoms (SANS), the Scale for the Assessment of Positive Symptoms(SAPS), and Beck Depression Inventory(BDI), Somatosensory Amplication Scale(SSAS). Results : During 8 weeks, there were significant differences in the changes of SANS, BDI, SSAS between group of abnormal thyroid function and group of normal thyroid function. Compared to group of normal thyroid function, group of abnormal thyroid function showed greater reduction of the scores of SANS(23.3%), BDI (19.6%), and SSAS(16.2%), respectively. However, there was no significant correlation between the scores of SANS, BDI, and SSAS. Conclusion : Our study suggested that abnormal thyroid indices would predict the prognosis of negative symptoms, mood symptoms, and somatic symtpoms in patients with schizophrenia.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.12
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• pp.7595-7600
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• 2013

Cervical cancer is a serious public health problem in developing countries. We investigated possible risk factors for cervical cancer in rural areas of Wuhan China using a matched case-control study with 33 women diagnosed with cervical cancer and 132 healthy women selected from the same area as matched controls. A questionnaire, which included questions about general demography conditions, environmental and genetic factors, the first sexual intercourse, first marriage age, age at first pregnancy, pregnancy first child's age, female personal health history, social psychological factors, dietary habits, smoking and alcohol status and other living habits was presented to all participants. At the same time, HPV infection of every participant was examined in laboratory testing. Results showed HPV infection (P<0.000, OR=23.4) and pregnancy first child's age (P<0.000, OR=13.1) to be risk factors for cervical cancer. Menopause (P=0.003, OR=0.073) was a protective factor against cervical cancer. However, there was no indication of associations of environmental (drinking water, insecticide, disinfectant) genetic (cancer family history), or life-style factors (smoking status, alcohol status, physical training, sleep quality), including dietary habits (intake of fruit and vegetable, meat, fried food, bean products and pickled food) or social psychological factors with cervical cancer. The results suggest that the risk of cervical cancer in Chinese rural women may be associated with HPV infection, menopause and the pregnancy first child's age.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.895-901
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• 2007

Currently the advancement of the computer and the Internet sees the direction of studying freely to do, it does not receive not to be, the student the environment it will be able to study oneself it is doing the direct help of the teacher and to be possible. Plan and it embodied the high school information society which it follows in 7th curriculum and the WBI of computer subject from the dissertation which it sees. In order to improve the qualify of curriculum ultimately, it endeavored. Territory it analyzes a subject contents first, especially it surveys, foundation it hardens, the actual training semester and pure with studying of self-evaluation do to become accomplished, studying oneself to sleep the possibility of doing own lead studying which is the possibility of studying spontaneously and integrated textbook studying in same tine it does to be with they are composing of the education paradigm the flag for a problem solving ability and an originality accident. In this dissertation used the php, Apache web server and the DBMS used the MySQL. To program member joining, the information society and computer curriculum take a course and test, it questions and, it is composed to data mourge. After taking a course, simultaneously lecturing a paper and online instruction, set up a foundation and quering that gratify one's curiosity thus it will be able to digest a study in once.

• Journal of Korean Academy of Nursing
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• v.7 no.2
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• pp.1-10
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• 1977

Personalized Patient centered nursing care is increasingly difficult to achieve despite the fact that it remains one of our consistent goals. So, we must find away to individualized nursing care. One means, to achieve this is by use of the nursing history form, which has been developed to help the nurse make maximum use of her limited time with the patient, by obtaining systematically the information needed to plan his nursing care. The nursing history form can be used to collect data about individual nursing needs but also it lends itself to the collection of epidemiological data relevant to the needs of patient population. So this study was undertaken in an attempt to describe the general characteristics of the population studied, to find out their perceptions and expectations related to their illness and hospitalization, to find out specific basic needs and to examine the relationship between the patients nursing needs and demographic characteristics through the responses to the nursing history questions. The study population defined and selected was all the patients (70) who were admitted to Yonsei University Hospital from October 1 - 15, 1975. The direct interview method was used and the data were categorized by the investigator, according to the nature of responses to each question and were subjected to the percentile and the chi- square tests. The findings can be summarized as follows 11. General characteristics of the study population ; The population was made up mainly of urban patients who were highly educated. The age was equally distributed. 2. Patients, perceptions and expectations related to illness and hospitalization ; 88.6% of the patients knew about the reason for hospitalization but 64. 5% could state symptoms only. 37.5% recognized the cause of illness. Approximately three fourth of the patients expressed on expectation for early recovery. 60.0% of the patient responses indicated, that they expected less than 10 days of hospitalization. Of the total responses regarding hospitalization, 45.7% were negative about the post -hospitalization expectation, 45.7% expected to return to work. As a result of these findings, we can see that there is a great educational need, a psychological need and environmental need for adaptation to the hospital and a socio- economic need for the post - hospitalization period. 3. Specific basic needs : The physical needs include the problem of getting sufficient sleep (50.0%), difficulty in food intake(47.1%), problems with hospital diet (47.0%), abnormal condition of the skin(44.3%), problems with bowel elimination(35.7%), assistance with bathing(35.7%), pain(30.0%), difficulty in walking(30.0%) , difficulty in seeing(30.0%) problems in urinary elimination(20.0%) , and difficulty in hearing(10.0%), 4. Nursing needs and epidemiological characteristics ; Age distribution was related to the rendition of the mouth but no significant differences were observed statistically with the patients responses to the other nursing history questions according to the epidemiological variables of age, sex, education and residence.

• Journal of Oral Medicine and Pain
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• v.20 no.1
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• pp.39-52
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• 1995

Burning mouth syndrome is characterized by a burning sensation in oral cavity without clinical signs. There has b een no established theories about the diagnosis and treatment. The purpose of this article is to examine the clinical feature of BMS patients of Korean and to present a treatment protocol that can be helpful in clinical applications. The subjects chosen for the study were 52 patients who had visited Department of Oral Diagnosis at Yonsei University Dental Hospital and were diagnosed as BMS. We did questionnaires and precise oral exam, laboratory exam, grouping of our patients, individual treatment for the groups and classification of responses to the treatment. The following results were obtained: 1. Chief complaints were throbbing (71.2%), pricking, stinging, tingling (30.8%), burning(25a%). The tongue is the most frequently affected site (82.7%), followed by full mouth, gingiva, palate, buccal mucosa, lips, throat, labial mucosa and floor of mouth. 2. The average age of onset was 48.1 year and the male to female ratio was 1 to 3. The average duration of symptom was 11.69 months for male and 23.07 months for female. 3. 32.7% of patients had appealed continuous pain, which was the most cases. Aggravating factors were peppery food, salty food, hot food, fatigue, tension conversation, sour food, cold food and toothpaste. Reducing factors were cold food, diet, going to sleep and smoking. 4. Associated symptoms were dry mouth, other life problem, altered taste perception, bad taste, throat pain, tingle and difficulty in swallowing. 5. Most of patients had appealed that there was not associated event on onset of symptom, and the order of prevalence is as fallow; dental treatment, stress, denture wearing, an attack of a systemic disease. 92.3% of patient appealed that there was no psychological withering and 7.7% of patients appealed positively. 6. There were eight males and four females that had jobs. 7. There was no family history in 100% of patients in questions about presence of family history. 8. 96.2% of patients appealed that there was no oral habits. 13.5% of patients had dryness of oral mucosa in oral exam. A significant relation to dental prosthesis was not observable, but incidence of diseases due to stress appeared high in BMS which had the clinical characteristics as above. A group having low serum iron was 63.5% and in this group period of potential iron deficiency appeared high in incidence just before move to anemia. A group represented positive response was 38.5% in fungus study for Candida albicans. Since we can expect high treatment response by prescription of iron-contained drug and antifungal drug in these patients, diagnosing patients' condition of BMS can be achieved in more various aspects through study for serum iron and Candida albicans. Furthermore, it is expected that treatment protocol can be made.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.1
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• pp.47-58
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• 2018

The heterogeneous cellular network (HCN) is most significant as a key technology for future fifth generation (5G) wireless networks. The heterogeneous network considered consists of randomly macrocell base stations (MBSs) overlaid with femtocell base stations (BSs). The stochastic geometry has been shown to be a very powerful tool to model, analyze, and design networks with random topologies such as wireless ad hoc, sensor networks, and multi- tier cellular networks. The HCNs can be energy-efficiently designed by deploying various BSs belonging to different networks, which has drawn significant attention to one of the technologies for future 5G wireless networks. In this paper, we propose switching off/on systems enabling the BSs in the cellular networks to efficiently consume the power by introducing active/sleep modes, which is able to reduce the interference and power consumption in the MBSs and FBSs on an individual basis as well as improve the energy efficiency of the cellular networks. We formulate the minimization of the power onsumption for the MBSs and FBSs as well as an optimization problem to maximize the energy efficiency subject to throughput outage constraints, which can be solved the Karush Kuhn Tucker (KKT) conditions according to the femto tier BS density. We also formulate and compare the coverage probability and the energy efficiency in HCNs scenarios with and without coordinated multi-point (CoMP) to avoid coverage holes.

• Korean Journal of Health Education and Promotion
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• v.26 no.5
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• pp.115-127
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• 2009

Objectives: To compare alcohol secondhand effects among US and Korean students. Methods: Nationally representative 4-year colleges of two countries were involved in this cross-national comparison study. Data from the 2001 U.S. College Alcohol Study and the 2003 Korean College Alcohol Study came from 120 colleges in 38 U.S. states and the District of Columbia and 60 colleges in Korea. Randomly selected 4-year college students from the U.S. (10,924) and Korea (2,385) participated in the study using self-reports of alcohol use and perceptions of drinking as assessed by College Alcohol Study questionnaires. Results: Korean students were tend to more likely to have being a victim of sexual assault or date rape, having to take care of drunken students and finding vomit in the hall or bathroom of residence, than US students, while US students were tend to more likely to have being insulted or humiliated, having a serious argument and quarrel, being pushed, hit, or assaulted, having study/sleep interrupted, and experiencing an unwanted sexual advance than Korean students. Conclusion: In general, US students were more likely to suffer interrelationship problems after drinking while Korean students were more likely to have physical and individual drinking related problems.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.6
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• pp.683-690
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• 2006

Reducing power consumption to extend network lifetime is one of the most important challenges in designing wireless sensor networks. One promising approach to conserving system energy is to keep only a minimal number of sensors active and put others into low-powered sleep mode, while the active sensors can maintain a connected covet set for the target area. The problem of computing such minimum working sensor set is NP-hard. In this paper, a centralized Voronoi tessellation (CVT) based approximate algorithm is proposed to construct the near optimal cover set. When sensor's communication radius is at least twice of its sensing radius, the covet set is connected at the same time; In case of sensor's communication radius is smaller than twice of its sensing radius, a connection scheme is proposed to calculate the assistant nodes needed for constructing the connectivity of the cover set. Finally, the performance of the proposed algorithm is evaluated through theoretical analysis and extensive numerical experiments. Experimental results show that the proposed algorithm outperforms the greedy algorithm in terms of the runtime and the size of the constructed connected cover set.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.2060-2077
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• 2019

Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute significant variables in terms of activity. The variables selected for providing personalized services were activity, weather, temperature, mean daily temperature, humidity, UV, fine dust, asthma and lung disease probability index, skin disease probability index, cadence, travel distance, mean heart rate, and sleep hours. The selected variables were classified according to the data characteristics. To predict activity, an LSTM RNN was built that uses the classified variables as input data and learns the dynamic characteristics of time series data. LSTM RNNs resolve the vanishing gradient problem that occurs in existing RNNs. They are classified into three different types according to data characteristics and constructed through connections among the LSTMs. The constructed neural network learns training data and predicts user activity. To evaluate the proposed model, the root mean square error (RMSE) was used in the performance evaluation of the user physical activity prediction method for which an autoregressive integrated moving average (ARIMA) model, a convolutional neural network (CNN), and an RNN were used. The results show that the proposed DC-LSTM RNN method yields an excellent mean RMSE value of 0.616. The proposed method is used for predicting significant activity considering the surrounding circumstances and user status utilizing the existing standardized activity prediction services. It can also be used to predict user physical activity and provide personalized healthcare based on the data collectable from mobile host devices.