This study aimed to 1) analyze television drama text to examines how Korean television dramas represent alcohol drinking; 2) interview the actual drama audience to examine how they perceive drinking and whether or not their perception is influenced by the drama text. The author analyzed 60 drama episodes from 12 prime time shows that reached over 20% rating from 2008 to 2010. The result shows that drinking in dramas are portrayed as a solution to various kinds of personal and business problems, medium of romance, a tool for interpersonal communication that facilitates understanding and positive relationship. Female drinkers are prominent but their drinking is taking place under the patronage of male characters, which lead to the maintenance of patriarchal social relations. Interview findings show that the audience have strong motivation to imitate the glamourous lifestyles of leading characters in dramas. The findings strongly suggest observational learning was taking place, especially in the area where the viewers have no direct experience.
Journal of Institute of Control, Robotics and Systems
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v.12
no.5
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pp.489-496
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2006
The random-based cleaning algorithm is a simple algorithm widely used in commercial vacuum cleaning robots. This algorithm has two limitations, that is, cleaning takes a long time and there is no guarantee that the cleaning will cover the whole cleaning area. This has lead to customer dissatisfaction. Thus, in recent years, many intelligent cleaning algorithms that takes into consideration information gathered from the cleaning area environment have been proposed. The plowing-based algorithm, which is the most efficient algorithm known to date when there are no obstacles in the cleaning area, has a deficiency that when obstacle prevail, its performance is not guaranteed. In this paper, we propose the Group-k algorithm that is efficient for that situation, that is, when obstacle prevail. The goal is not to complete the cleaning as soon as possible, but to clean the majority of the cleaning area as fast as possible. The motivation behind this is that areas close to obstacles are usually difficult for robots to handle, and hence, many require human assistance anyway In our approach, obstacles are grouped by the complexity of the obstacles, which we refer to as 'complex rank', and then decide the cleaning route based on this complex rank. Results from our simulation-based experiments show that although the cleaning completion time takes longer than the plowing-based algorithm, the Group-k algorithm cleans the majority of the cleaning area faster than the plowing algorithm.
Objective: The purpose of this study was to evaluate the patterns of Over-the-Counter (OTC) drugs and their interactions with prescription drugs in adults visiting a community pharmacy. Method: The subjects were 151 adults aged over 20 years visiting a community pharmacy in Asan-si from December 16th 2011 to February 1st 2012. We used a survey questionnaire. The survey inquired about the prevalence and the details of any OTC drug use and the characteristics of the study subjects. The drug interaction classification system from Lexicomp's Lexi-interact data fields was used to identify OTC drugs likely to have clinically significant interactions with prescription drugs. Results: The patterns of OTC drug use were related to thirties (from 30 to 40 years old), female gender, higher education, non-smoking, sometimes use of alcohol, and self-perceived normal health status. The most commonly used OTC drug category was antipyretic-analgesics (n=104, 53.3%), and the most commonly used ingredient was acetaminophen (n=67, 64.4%). The biggest motivation for taking OTC drugs was suggestion by pharmacists, reported by 55.6%. After reviewing each patient's prescription drugs and OTC drugs, 14 patients (36.8%) of 38 patients using prescription drugs were taking drug combinations with potential for clinically significant interactions. The concomitant use of OTC drugs with prescription drugs may lead to increased potentially harmful interactions. Conclusion: It is suggested that health-care professionals should be more aware of the potential and possible interactions and take into better account their patients' OTC drug use.
Jung, Seulgi;Kim, Yoojin;Park, Jeongok;Choi, Miyoung;Kim, Sue
Women's Health Nursing
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v.27
no.2
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pp.75-92
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2021
Purpose: This study aimed to analyze the content and effectiveness of psychosocial support interventions for women with gestational diabetes mellitus (GDM). Methods: The following databases were searched with no limitation of the time period: Ovid-MEDLINE, Cochrane Library, Ovid-Embase, CINAHL, PsycINFO, NDSL, KoreaMed, RISS, and KISS. Two investigators independently reviewed and selected articles according to the predefined inclusion/exclusion criteria. ROB 2.0 and the RoBANS 2.0 checklist were used to evaluate study quality. Results: Based on the 14 selected studies, psychosocial support interventions were provided for the purpose of (1) informational support (including GDM and diabetes mellitus information; how to manage diet, exercise, stress, blood glucose, and weight; postpartum management; and prevention of type 2 diabetes mellitus); (2) self-management motivation (setting goals for diet and exercise management, glucose monitoring, and enhancing positive health behaviors); (3) relaxation (practicing breathing and/or meditation); and (4) emotional support (sharing opinions and support). Psychosocial supportive interventions to women with GDM lead to behavioral change, mostly in the form of self-care behavior; they also reduce depression, anxiety and stress, and have an impact on improving self-efficacy. These interventions contribute to lowering physiological parameters such as fasting plasma glucose, glycated hemoglobin, and 2-hour postprandial glucose levels. Conclusion: Psychosocial supportive interventions can indeed positively affect self-care behaviors, lifestyle changes, and physiological parameters in women with GDM. Nurses can play a pivotal role in integrative management and can streamline the care for women with GDM during pregnancy and following birth, especially through psychosocial support interventions.
Objectives : This study is based on oral health knowledge and oral health belief, oral health behaviors are processed of an elementary school oral health education. Methods : Questionnaire survey was carried out targeting the elementary grades 5,6, in Nowon region. The data collected with T-test and pearson correlation analysis results were as follows: Results : 1. Correct answers of oral health knowledge is not required to treat dental decay in children's showed 5 grade students 17 persons 11.3%, 6 grade students 10 persons 6.8%. 2. 2 times of a day brush strokes showed 5 grade students85 persons56.6% and 6 grade students 79 persons 53.7%. 3. Students who have received dental care, oral health beliefs of the seriousness of the average $10.80{\pm}3.94$ and showed, Students who have never received dental care in the severity of oral health beliefs appear to the average $9.16{\pm}3.15$ were significantly different. 4. Elementary students' oral health beliefs and health of the sensitivity of the severity and disability - increasing the motivation to increase susceptibility showed a positive correlation, negative correlation between benefit and importance was the. Conclusions : In this study, elementary school students learn proper oral health knowledge will be required to be properly trained, improving oral health, oral health education beliefs lead to action would be to help.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2017.05a
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pp.730-732
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2017
While the short term effect of diet and exercise therapy has been proven, there has still been a problem of its long term effect. So, researchers has utilized behaviour modification therapy. It is expected to lead to natural weight loss by modifying wrong dietary life patterns and practices. However, this approach has turned out to be a more effective method for weight maintenance than loss of weight. In spite of its strength, as a matter of fact, persistent and continuous effort for weight management has not worked properly. This study proposes an artificial intelligence approach with the advantages of behaviour modification therapy, overcoming current approaches which is goal-driven and too uniform. For this, we plan to develop a health management program in which users get the messages that are customized for themselves according to different situations so that it can promotes persistent effort for exercise. Here, customized messages are handled by AI techniques, which eventually promotes soft persuasion, encouragement, and motivation.
This study is a structural equation modeling study that describes patient safety incident management activities for nursing students with clinical practice experience and uses Ajzen's theory of planned behavior and safety culture climate-safety behavior model as conceptual bases, proposes a hypothetical model of nursing students' patient safety incident management activities based on the literature review, and verifies the appropriateness of the model and hypotheses through the collected data. Data were collected from 251 nursing students with clinical practice experience using a structured questionnaire. The results of this study confirmed that the model is appropriate and that patient safety management attitude, patient safety culture, and safety motivation are predictors of nursing students' patient safety management activities. Therefore, in order to improve patient safety management activities, it is necessary to provide effective patient safety incident management education programs for nursing students so that nursing students can perform correct patient safety management behaviors from the clinical practice site to the clinical practice site after graduation, and it is necessary to explore how to continuously lead such education programs to the practice site.
Background: Under the risk of financial sustainability of National Health Insurance, Korean government attempted a series of regulations over pharmaceutical prices. The first price-cut was implemented to the hyperlipidemial treatments, and the prices of statins were reduced on 15th, April in 2009. The purposes of this study are 1) to investigate the impact of this price-cut on pharmaceutical expenditure, and 2) to identify the factors associated with drug-switch among statins. Methods: Using the national patients sample data, this study conducted time series analysis on the expenditures, prices, and volumes of statin drugs. To understand the factors associated with drug-switch, the multinomial logit model was analyzed at the patients level. Results: The results of time series analysis demonstrated that the price-cut of hyperlipidemic medicines did not lead to the reduced expenditure, suggesting the increased volume was the major cause. The multinomial logit analysis identified the switch of healthcare provider as the significant factor that was highly associated with drug-switch, implying the physicians' preference was the major motivation of drug-switch. Conclusion: Without control of utilization, price regulation itself could not reduce pharmaceutical expenditure. This suggests that the pharmaceutical regulations should be implemented on the basis of understanding of provider behaviors. The findings of this study will form the first step for further empirical studies.
Modern society's technological and economical changes require high-level education that involve critical thinking, problem solving, and communication with others. Thus, today's perspective of mathematics and mathematics learning recognizes a potential symbolic relationship between concrete and abstract mathematics. If the problems engage students' interests and aspiration, mathematical problems can serve as a source of their motivation. In addition, if the problems stimulate students'thinking, mathematical problems can also serve as a source of meaning and understanding. From these perspectives, the purpose of my study is to prove that mathematical modeling tasks can provide opportunities for students to attach meanings to mathematical calculations and procedures, and to manipulate symbols so that they may draw out the meanings out of the conclusion to which the symbolic manipulations lead. The review of related literature regarding mathematical modeling and model are performed as a theoretical study. I especially concentrated on the study results of Freudenthal, Fischbein, Lesh, Disessea, Blum, and Niss's model systems. We also investigate the emphasis of mathematising, the classified method of mathematical modeling, and the cognitive nature of mathematical model. And We investigate the purposes of model construction and the instructive meaning of mathematical modeling. In conclusion, we have presented the methods that promote students' effective model construction ability. First, the teaching and the learning begins with problems that reflect reality. Second, if students face problems that have too much or not enough information, they will construct useful models in the process of justifying important conjecture by attempting diverse models. Lastly, the teachers must understand the modeling cycle of the students and evaluate the effectiveness of the models that the students have constructed from their classroom observations, case study, and interaction between the learner and the teacher.
Background: Breast cancer is the most common cancer diagnosed among women in Sri Lanka. Early detection can lead to reduction in morbidity and mortality. The objective here was to identify perceptions of public health midwives (PHMs) on the importance of early detection of breast cancer and deficiencies of and suggestions on improving existing breast cancer early detection services provided through Well Woman Clinics. Materials and Methods: A qualitative study using four focus group discussions (FGDs) were conducted among 38 PHMs in the Gampaha district in Sri Lanka and the meetings were audio-recorded, transcribed and analyzed using constant comparison and identifying themes and categories. Results: All the PHMs had a firm realization on the need of breast cancer early detection. The four FGDs among PHMs revealed non-availability of guidelines, inadequacy of training, lack of skills and material to provide health education, inability to provide privacy during clinical examination, shortage of stationery, lack of community awareness and motivation. The suggestions for the improvements of the programme identified in FGDs were capacity building of PHMs, making availability of guidelines, rescheduling clinics, improving the supervision, strengthening the monitoring, improving coordination between clinical and preventive sectors, and improving community awareness. Conclusions: Results of the FGDs can provide useful information on components to be improved in breast cancer early detection services. Study recommendations were training programmes at basic and post basic levels on a regular basis and supervision for the sustainance of the breast cancer early detection program.
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