Evidence-based dentistry is a new, worldwide trend in the field of clinical dentistry. Despite this fact, it has been neglected in Korean dental community. Thus, its basic concepts and the 5-step procedures are introduced and described in this 2-part series report. Evidence-based dentistry is a method of clinical practice where the clinicians use the best available research evidence for their own clinical decision making. By using this method, the clinical outcomes can be improved and the clinicians themselves can have the ability to keep watch over their daily practices. To clinically apply the principles of evidence-based dentistry, dental practitioners have to formulate a clear question, find the best available research evidence efficiently, critically appraise the evidence systematically, apply the results of the evidence to their practice, and evaluate the clinical outcomes comprehensively. In building a clinical question, it is essential to categorize questions according to their types followed by their organization using the key elements. Then, literature search must be done. There are many web sites for searching evidence, but PubMed is considered to be the leading site. To efficiently search the literature, search term must be selected appropriately and the search results should be limited.
Shipping industry continues to face dramatic changes in its environment ranging from development in containerization, computerization and telecommunications to the emergence of global marketplace. Perhaps the most significant trend - representing both a threat and opportunity - is the increasingly competitive nature of shipping service market. In order for the shipping companies to cope with those improvements and challenges, they should analyze and clarify customer's DM(decision making) process for the purchase of container shipping service. The major research findings from the study were found as follows; 1) The degree of shipper's involvement in purchasing shipping services was found to be a discriminating variable affecting the information sources consisting of personal and non-personal information sources. 2) The positive relationship was found between the experiences on shipping services and non-personal information sources. 3) It was observed that as people had more experience searching for information, the more in depth their searches became. 4) There existed a positive relationship between knowledges on shipping services and information search. 5) According to the SEM analysis, the shipper's information search on shipping services was also found to have a great influence on the shipper's purchasing behavior. The shipper's search was resulted in positive customer satisfaction.
In industries, shipping is an important issue in improving the forecasting accuracy of sales. This paper introduces a hybrid method and plural methods are compared. Focusing the equation of exponential smoothing method (ESM) that is equivalent to (1, 1) order autoregressive-moving-average (ARMA) model equation, a new method of estimating the smoothing constant in ESM had been proposed previously by us which satisfies minimum variance of forecasting error. Generally, the smoothing constant is selected arbitrarily. However, this paper utilizes the above stated theoretical solution. Firstly, we make estimation of ARMA model parameter and then estimate the smoothing constant. Thus, theoretical solution is derived in a simple way and it may be utilized in various fields. Furthermore, combining the trend removing method with this method, we aim to improve forecasting accuracy. This method is executed in the following method. Trend removing by the combination of linear and 2nd order nonlinear function and 3rd order nonlinear function is executed to the original production data of two kinds of bread. Genetic algorithm is utilized to search the optimal weight for the weighting parameters of linear and nonlinear function. For comparison, the monthly trend is removed after that. Theoretical solution of smoothing constant of ESM is calculated for both of the monthly trend removing data and the non-monthly trend removing data. Then forecasting is executed on these data. The new method shows that it is useful for the time series that has various trend characteristics and has rather strong seasonal trend. The effectiveness of this method should be examined in various cases.
Kim, Myounghee;Cheon, Suk-Hee;Jun, Eun-Mi;Kim, Sue;Song, Ju-Eun;Ahn, Sukhee;Oh, Hyun-Ei;Lee, Eun-Joo
Women's Health Nursing
/
v.19
no.4
/
pp.306-317
/
2013
Purpose: This study was done to evaluate quality of reports of non-randomized controlled quasi-experimental study articles published in the Korean Journal of Women Health Nursing (KJWHN). Methods: A search was done for experimental studies assessing intervention effects among all articles published in the KJWHN from 2008 to 2013. Original articles were reviewed and analyzed according to the 22 checklist items of the guidelines for Transparent Reporting for Evaluations with Non-randomized Designs (TREND). Results: Thirty-five articles on experimental studies were identified. The evaluation of the quality of reporting in these experimental studies found that there was a wide variety in the level of satisfying the TREND checklist. In particular, according to TREND topics, low levels of reporting quality were found for "title & abstract (only for information on how units were allocated to the intervention)", "outcomes in methods", "assignment in methods", "blinding in methods", "recruitment in results", "baseline data in results", "interpretation in discussion (especially intervention mechanism and success or barriers), "generalizability in discussion". Conclusion: Results indicate that adherence to TREND guidelines varied in experimental studies published in the KJWHN suggesting the recommendation that for higher levels of complete reporting, TREND guidelines be used in reports on experimental studies.
Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.
This study analyzed the contents and changes by year of metadata research that appeared in the study of domestic movie curation from the viewpoint of art management. The research method used thesis search site to search 'movie' and 'metadata' as keywords, and analyzed them in 4 stages of change according to the research trend by year, purpose of research content, analysis by use, and type of recommendation method. As for research results, movie metadata research is highly interested in user-side research, and is developing from an introduction stage to an evolutionary stage of recommendation to a sharing and participation stage. It was concluded that movie curation evolved into 6 stages: search support, content-based, collaborative filtering, hybrid, artificial intelligence, and curation.
Objectives The purpose of this study is to understand the research trend of reports on forest therapy so far and analyze the Korean medicine therapy being applied in forest therapy programs. Methods We ran a keyword search on domestic databases with the following keyword 'forest therapy, forest healing, forest treatment, recreational forest, forest bath, forest experience'. The search took place in December 2014 and there was no limit to search time. A total of 334 forest therapy articles have been selected. Results The number of research on forest therapy continued to rise from 1985, with 334 articles being published from 84 journals. When those 188 articles were sorted by their contents and methods, except 146 articles of survey on simple satisfaction, recognition and visting, 94 were clinical studies, 79 were literature studies, 15 were experimental studies. Of the 94 clinical researches, there were 52 CCTs (Controled Clinical Trials), 39 ODs (efficacy studies with either a controlled or an Other than controlled Design) and 3 RCTs (Randomized Clinical Trials). Among the clinical researches, there were a total of 21 studies that used Korean Medicine programs, and meditation was the most popular, being used in 18 studies. Herbal food and tea therapy and Qigong were used in 3 studies each, and Korean medicine music programs were used in 2 studies. Conclusions A systematic and standardized Korean medicine forest therapy program must be developed, and based on the program, more research treating diseases should be conducted.
Objectives: Parkinson's disease (PD) is a neurodegenerative disease of the elderly characterized by impaired behavior from lack of dopamine secretion. However, no accurate quantitative diagnosis method has been established. The purpose of this study was to analyze the patent trends (PTs) of health examination and daily monitoring/healthcare technology for PD. Methods: For analyzing PTs, a search summary for classifying each analysis target technology was set, and a final search formula was constructed by collecting keywords. After constructing a database of related patents through the final search formula, noise was removed to extract valid patents. PTs by major countries were analyzed using the valid patents, and PTs and growth stages were analyzed by the detailed technologies. Results: The survey analysis showed that, despite the existence of unpublished patents between 2018 and 2020, patent activity has increased rapidly in the recent period, and this increasing trend was led by the USA. This technology is considered to be in its early- or mid-stage growth period, which means that the marketability is high and the barriers are low. Korea's market share is only about 25%, but it has a larger number of applications than those of Europe and Japan. Integrated monitoring and diagnosis technologies for PD have a share of 34%. Conclusion: The advances in diagnosis and healthcare technology for PD means that traditional Korean medicine must continue to pay attention to related technologies and to review plans that are applicable to clinical practice.
The outbreak of the Covid 19 increased the interest on the 'Virtual Tourism. In this research the key word related to "Virtual Tourism" was collected through the search engine and was analyzed through the data mining method such as Log-odds ratio, Frequency, and network analysis. It is clear that the information and communication dependency increased in the field of "Virtual Tourism" after Covid 19 and also the trend have changed from "securement of the contents diversity" to "project related to economic recovery." Since the demands for the "Virtual Reality" such as metaverse is increasing, there should be an economic and circular structure in which the government establishing a related policy and the funding plan based on the research, local government and the private companies planning and producing discriminate contents focusing on AISAS(Attension, Interest, Search, Action, Share) aand the research institutions and universities developing, applying, assessing and commercializing the technology.
Purpose: This study was done to describe the research trend of Complementary and Alternative Medicine(CAM) in Korea and internationally. Method: A Systematic review of CAM related literature published from 2000 to 2005 was done. A comprehensive search by using 34 CAM modalities as search terms to identify all articles dealing with CAM was undertaken from 4 databases: PubMed, RICHIS, KoreaMed, and Riss4U. A Total of 588 abstracts and 223 original articles were reviewed by two independent reviewers using systematic analysis guidelines. Data regarding the types of study design, characteristics of subjects and researchers, and classification of CAM modalities was recorded. The outcome measures of CAM were identified. Results: CAM research has been rapidly increasing worldwide in the last decade. In Korea, nursing(53.5%) followed by medicine(42.7%) occupied the majority of CAM research in comparison to medicine(42.9%) and disciplines in CAM(25.0%), like homeopathy, internationally. Prevailing research designs in Korea were experimental and quasi-experimental, however, randomized clinical trials were found. Internationally, survey research was dominant, with the exception of randomized clinical trials that were mostly an experimental design. Conclusion: The findings suggest that a robust research design in CAM research is needed to accumulate strong scientific evidence and to adopt nursing interventions from CAM modalities.
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