• Title/Summary/Keyword: Recommendation model

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The Dosimetric Effects on Scallop Penumbra from Multi-leaf Collimator by Daily Patient Setup Error in Radiation Therapy with Photon (광자선 치료시 Setup 오차에 따르는 Multi-leaf Collimator의 Scallop Penumbra 변화 효과)

  • Yi, Byong-Yong;Cho, Young-Kap;Chang, Hye-Sook
    • Radiation Oncology Journal
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    • v.14 no.4
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    • pp.333-338
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    • 1996
  • Purpose : To evaluate the clinical implications of scallop penumbra width that comes from multileaf collimator(MLC) effect by the daily routine patient setup error. Materials and Methods : The anales of $0^{circ},{\;}15^{circ},{\;}30^{circ},{\;}45^{circ},{\;}60^{circ},{\;}and{\;}75^{circ}$ inclined -radiation blocked fields were generated using the both conventional cerrobend block and the MLC. Film dosimetry in the phantom were performed to measure penumbral widths of differences between the dose distributions from the cerrobend block and those of respect the MLC. The patient setup error effect on scallop penumbra was simulated with respect to the table of setup error distribution. Same procedures are repeated for the cerrobend block generated field. Results : There are penumbral widths of to 3mm difference between the dose distributioins from two kinds of field shaping tools, the conventional block and the MLC with 4mm setup error model and resolution of 1cm leaf at the isocenter. Conclusion : We need not additive margin for MLC, if planning target volume is selected according to the recommendation of ICRU 50. For particular cases, we can include the target volume with less than 3mm additive margin.

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A Study on the Effect of the Mediator of the Service Quality of Japanese Restaurants to Behavior Intention (일식 레스토랑 서비스품질이 고객만족을 매개로 행동의도에 미치는 영향)

  • Song, Hye-Young;Lee, Jong-Ho
    • Culinary science and hospitality research
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    • v.21 no.1
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    • pp.174-190
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    • 2015
  • This study looks at a causal relationships between service quality and behavior intention(re-visiting, recommendation, loyalty) to attract customers and make them loyal customers in the context of Japanese restaurants. The study includes 250 consumers who have experience in Japanese restaurants located in Busan to conduct survey for empirical testing. To achieve the purpose of current study, frequency test, multiple/simple regression analysis, and factor analysis were conducted with SPSS 18.0 statistical program. Structure Equation Model analysis has been employed for hypothesis testing. Results showed that the service of employee has been recognized as an primary factor among elements of Japanese restaurants' service quality to satisfy customer, and employee's service is the strongest affecting factor to consumers' behavioral intention as well. In addition, the food quality identified as an the strongest factor that affects behavior intention, whereas physical environment is the lowest factor. It can be interpreted that the quality of food is very important element to make their consumers revisit or recommend the restaurant to others. In this study, especially, the service of the employee has been identified as an key factor to customer satisfaction and behavioral intention. Therefore, CEO or restaurateurs of Japanese restaurants have to consider the importance of service quality and food quality to make more patrons as well as their business success.

Analysis of the Effect of Korea's Environmentally Harmful Subsidy Reform in the Electric Power Sector : Mainly on its Industrial Cross-subsidies Reform (우리나라 전력부문의 환경유해보조금 개편 효과분석 : 산업용 교차보조금 개편을 중심으로)

  • Kang, Man-Ok;Hwang, Uk
    • Journal of Environmental Policy
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    • v.9 no.1
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    • pp.57-81
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    • 2010
  • Since the Republic of Korea is highly dependent on fossil fuels despite high oil prices, it urgently needs to renew its economic and social system to cut carbon emissions and achieve green growth. Therefore, reforming or eliminating subsidies related to the use of fossil fuels is a timely and oppropriate policy recommendation for Korea. It would be a win-win deal for Korean society as it would not only reduce the use of environmentally harmful fossil fuels but also enhance economic efficiency. In particular, cross-subsidies for industrial, agricultural and night thermal-storage power services make up more than 80 percent of all subsidies provided to the entire electric power industry sector of Korea. Of these cross-subsidies, this paper analyzes the electricity subsidy for industries, which takes up the largest share (about KRW 1.6583 trillion yearly), among the environmentally harmful subsidies in the electric power sector. Thus, the paper focuses on the analysis of ripple effect anticipated when this is reformed. To examine the effects of this subsidy reform, price elasticities were estimated using the ARDL (autoregressive distributed lag) model and quarterly data from 1990 to 2007. The main results of this study show that 1) annual energy demand for electric power in the industrial sector would drop by 12,475,930MWh and 2) $CO_2$ emissions would plummet by 2,644,897 tons per year if the subsidy were reformed. We can deduct from this that the abolition of environmentally harmful subsidies in the electric power sector in the Republic of Korea would considerably contribute to $CO_2$ emissions abatement in the country.

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WebPR : A Dynamic Web Page Recommendation Algorithm Based on Mining Frequent Traversal Patterns (WebPR :빈발 순회패턴 탐사에 기반한 동적 웹페이지 추천 알고리즘)

  • Yoon, Sun-Hee;Kim, Sam-Keun;Lee, Chang-Hoon
    • The KIPS Transactions:PartB
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    • v.11B no.2
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    • pp.187-198
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    • 2004
  • The World-Wide Web is the largest distributed Information space and has grown to encompass diverse information resources. However, although Web is growing exponentially, the individual's capacity to read and digest contents is essentially fixed. From the view point of Web users, they can be confused by explosion of Web information, by constantly changing Web environments, and by lack of understanding needs of Web users. In these Web environments, mining traversal patterns is an important problem in Web mining with a host of application domains including system design and Information services. Conventional traversal pattern mining systems use the inter-pages association in sessions with only a very restricted mechanism (based on vector or matrix) for generating frequent k-Pagesets. We develop a family of novel algorithms (termed WebPR - Web Page Recommend) for mining frequent traversal patterns and then pageset to recommend. Our algorithms provide Web users with new page views, which Include pagesets to recommend, so that users can effectively traverse its Web site. The main distinguishing factors are both a point consistently spanning schemes applying inter-pages association for mining frequent traversal patterns and a point proposing the most efficient tree model. Our experimentation with two real data sets, including Lady Asiana and KBS media server site, clearly validates that our method outperforms conventional methods.

Extracting Typical Group Preferences through User-Item Optimization and User Profiles in Collaborative Filtering System (사용자-상품 행렬의 최적화와 협력적 사용자 프로파일을 이용한 그룹의 대표 선호도 추출)

  • Ko Su-Jeong
    • Journal of KIISE:Software and Applications
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    • v.32 no.7
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    • pp.581-591
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    • 2005
  • Collaborative filtering systems have problems involving sparsity and the provision of recommendations by making correlations between only two users' preferences. These systems recommend items based only on the preferences without taking in to account the contents of the items. As a result, the accuracy of recommendations depends on the data from user-rated items. When users rate items, it can be expected that not all users ran do so earnestly. This brings down the accuracy of recommendations. This paper proposes a collaborative recommendation method for extracting typical group preferences using user-item matrix optimization and user profiles in collaborative tittering systems. The method excludes unproven users by using entropy based on data from user-rated items and groups users into clusters after generating user profiles, and then extracts typical group preferences. The proposed method generates collaborative user profiles by using association word mining to reflect contents as well as preferences of items and groups users into clusters based on the profiles by using the vector space model and the K-means algorithm. To compensate for the shortcoming of providing recommendations using correlations between only two user preferences, the proposed method extracts typical preferences of groups using the entropy theory The typical preferences are extracted by combining user entropies with item preferences. The recommender system using typical group preferences solves the problem caused by recommendations based on preferences rated incorrectly by users and reduces time for retrieving the most similar users in groups.

Validity and reliability of the Korean version of the Quality of Recovery-40 questionnaire

  • Lee, Jun Ho;Kim, Deokkyu;Seo, Donghak;Son, Ji-seon;Kim, Dong-Chan
    • Korean Journal of Anesthesiology
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    • v.71 no.6
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    • pp.467-475
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    • 2018
  • Background: The Quality of Recovery-40 (QoR-40) is a widely-used, self-rated, and self-completed questionnaire for postoperative patients. The questionnaire is intended to elicit information from each patient regarding the quality of recovery during the postoperative period. It is noteworthy, however, that an official Korean version of the QoR-40 (QoR-40K) has not been established. The purpose of this study was to develop the QoR-40K by translation and cultural adaptation process and to evaluate the validity and reliability of the QoR-40K. Methods: After pre-authorization from the original author of the QoR-40, the translation procedure was established and carried out based upon Beaton's recommendation to create a QoR-40K model comparable to the original English QoR-40. Two hundred surgical patients were enrolled, and each completed the questionnaire during the preoperative period, on the third day, and 1 month after surgery. The QoR-40K was compared with the visual analogue scale (VAS) and another health-related questionnaire, the Short-form Health Survery-36 (SF-36). The method of validation for QoR-40K included test-retest reliability, internal consistency, and level of responsiveness. Results: Spearman's correlation coefficient for test-retest reliability was 0.895 (P < 0.001), and Cronbach's alpha of the global QoR-40K on the third day after surgery was 0.956. A positive correlation was obtained between the QoR-40K and the mental component summary of SF-36 (${\rho}=0.474$, P < 0.001), and a negative correlation was observed between QoR-40K and VAS (${\rho}=-0.341$, P < 0.001). The standardized responsive mean of the total QoR-40K was 0.71. Conclusions: The QoR-40K was found to be as acceptable and reliable as the original English QoR-40 for Korean patients after surgery, despite the apparent differences in the respective patients' cultural backgrounds.

Effectiveness of Two-dose Varicella Vaccination: Bayesian Network Meta-analysis

  • Kwan Hong;Young June Choe;Young Hwa Lee;Yoonsun Yoon;Yun-Kyung Kim
    • Pediatric Infection and Vaccine
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    • v.31 no.1
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    • pp.55-63
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    • 2024
  • Purpose: A 2-dose varicella vaccination strategy has been introduced in many countries worldwide, aiming to increase vaccine effectiveness (VE) against varicella infection. In this network meta-analysis, we aimed to provide a comprehensive evaluation and an overall estimated effect of varicella vaccination strategies, via a Bayesian model. Methods: For each eligible study, we collected trial characteristics, such as: 1-dose vs. 2-dose, demographic characteristics, and outcomes of interest. For studies involving different doses, we aggregated the data for the same number of doses delivered into one arm. The preventive effect of 1-dose vs. 2-dose of varicella vaccine were evaluated in terms of the odds ratio (OR) and corresponding equal-tailed 95% confidence interval (95% CI). Results: A total of 903 studies were retrieved during our literature search, and 25 interventional or observational studies were selected for the Bayesian network meta-analysis. A total of 49,265 observed individuals were included in this network meta-analysis. Compared to the 0-dose control group, the OR of all varicella infections were 0.087 (95% CI, 0.046-0.164) and 0.310 (95% CI, 0.198-0.484) for 2-doses and one-dose, respectively, which corresponded to VE of 69.0% (95% CI, 51.6-81.2) and VE of 91.3% (95% CI, 83.6-95.4) for 1- and 2-doses, respectively. Conclusions: A 2-dose vaccine strategy was able to significantly reduce varicella burden. The effectiveness of 2-dose vaccination on reducing the risk of infection was demonstrated by sound statistical evidence, which highlights the public health need for a 2-dose vaccine recommendation.

Research on Usability of Mobile Food Delivery Application: Focusing on Korean Application and Chinese Application (모바일 배달 애플리케이션 사용성 평가 연구: 한국(배달의민족)과 중국(어러머)을 중심으로)

  • Yang Tian;Eunkyung Kweon;Sangmi Chai
    • Information Systems Review
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    • v.20 no.1
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    • pp.1-16
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    • 2018
  • The development and generalization of the Internet increased the popularity of food delivery service applications in Korea. The food delivery market based on online-to-offline service is growing rapidly. This study compares the usability of Korean food delivery service application between that of Chinese food delivery service application. This study suggests improvement points for Korean food delivery service applications. To conduct this study, we explore the status of various food delivery service applications and conduct interviews and surveys based on the honeycomb model developed by Peter Morville. This study obtained the following results. First, all restaurants participating in the Korean food delivery service must be able to accept order through the application. Second, the shopping cart function must be able to accept order of all restaurants simultaneously. Third, when users look for menu recommendation, their purchase history and shopping cart functions should appear at the first page of the website. Users should be able to perceive the improved usability of the website using those functions. Fourth, when the search window is fixed on the top of each page, users should be able to find the information they need. Fifth, the application must allow users to find the exact location of the delivery person and the estimated delivery time. Finally, the restaurants'address should be disclosed and fast delivery time should be confirmed to enhance users'trust on the application. This study contributes to academia and industry by suggesting useful insight into food delivery service applications and improving the point of food delivery service application in Korea.

The impact of conversion and sanctification-centered educational programs on youth spirituality : Focusing on Camp 'A' (회심 및 성화 중심의 교육 프로그램이 청소년의 영성에 미치는 영향 : A캠프를 중심으로)

  • Minho Kim
    • Journal of Christian Education in Korea
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    • v.76
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    • pp.237-258
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    • 2023
  • Purpose of Research: This study examines how an intensive Christian program focused on conversion and sanctification impacts youth spirituality. While previous research was qualitative, looking at program design and family-church ties, this research provides a needed quantitative analysis of the program's effect on youths' spiritual development. Research content and method: The research, centering on 'A' Camp's focus on conversion and sanctification, used a pre-post test model with Lee and Kim's metrics to gauge youth spirituality. Conducted in a 2023 summer camp, assessments on days one and three yielded 109 valid questionnaires, analyzed via paired t-tests. As a result of the analysis, relationship with God t=-9.65, traditional faith t=-6.22, influence of spirituality t=-6.35, religious activity t=-8.32, experience of transcendent power t=-8.67, living righteously t=-8.04 It was statistically significant in all areas. Conclusion and Recommendation: The study confirmed that programs emphasizing conversion and sanctification markedly improve youth spirituality, notably enhancing experiences of God and righteous living via the Holy Spirit. These findings are pivotal for guiding future youth education programs, especially those conducted in camp settings.

The Impact of O4O Selection Attributes on Customer Satisfaction and Loyalty: Focusing on the Case of Fresh Hema in China (O4O 선택속성이 고객만족도 및 고객충성도에 미치는 영향: 중국 허마셴셩 사례를 중심으로)

  • Cui, Chengguo;Yang, Sung-Byung
    • Knowledge Management Research
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    • v.21 no.3
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    • pp.249-269
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    • 2020
  • Recently, as the online market has matured, it is facing many problems to prevent the growth. The most common problem is the homogenization of online products, which fails to increase the number of customers any more. Moreover, although the portion of the online market has increased significantly, it now becomes essential to expand offline for further development. In response, many online firms have recently sought to expand their businesses and marketing channels by securing offline spaces that can complement the limitations of online platforms, on top of their existing advantages of online channels. Based on their competitive advantage in terms of analyzing large volumes of customer data utilizing information technologies (e.g., big data and artificial intelligence), they are reinforcing their offline influence as well through this online for offline (O4O) business model. On the other hand, most of the existing research has primarily focused on online to offline (O2O) business model, and there is still a lack of research on O4O business models, which have been actively attempted in various industrial fields in recent years. Since a few of O4O-related studies have been conducted only in an experience marketing setting following a case study method, it is critical to conduct an empirical study on O4O selection attributes and their impact on customer satisfaction and loyalty. Therefore, focusing on China's representative O4O business model, 'Fresh Hema,' this study attempts to identify some key selection attributes specialized for O4O services from the customers' viewpoint and examine the impact of these attributes on customer satisfaction and loyalty. The results of the structural equation modeling (SEM) with 300 O4O (Fresh Hema) experienced customers, reveal that, out of seven O4O selection attributes, four (mobile app quality, mobile payment, product quality, and store facilities) have an impact on customer satisfaction, which also leads to customer loyalty (reuse intention, recommendation intention, and brand attachment). This study would help managers in an O4O area well adapt to rapidly changing customer needs and provide them with some guidelines for enhancing both customer satisfaction and loyalty by allocating more resources to more significant selection attributes, rather than less significant ones.