• 보건교육건강증진학회지
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• 제26권2호
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• pp.103-117
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• 2009

Objectives: There have been no specific as well as evidence-based physical activity guidelines issued on the governmental level. There just have been physical activity recommendations and guidelines released from governmental agencies or organizations as well as individual researchers and these are not consistent, thereby giving the public and even some professionals quite a confusion. As such, this study was aimed to suggest key factors to include when issuing national physical activity recommendations for Koreans. Methods: Since chronological evolution of modern physical activity recommendations reflects key factors to consider when establishing those recommendations and guidelines, that released for several decades was reviewed. Results: The evolution was found to be based on the basis of strong evidence from both epidemiological and exercise physiology studies and the key concepts of such evolution were feasibility, efficacy, and safety. Conclusion: On the basis of three key factors found in the review process, this study concluded that the upcoming national physical activity guidelines should include the following to maximize the outcomes of the efforts which have long been put by the division of physical activity under the 'New Health Plan 2010'. First, guidelines for achieving health benefits (ie, preventing chronic diseases such as cardiovascular disease, diabetes, and cancers or weight management) as well as improving cardiorespiratory fitness should be included to enhance efficacy. Second, safety measures should be included to enhance safety. Third, various alternative forms of physical activity should be included to enhance feasibility.

• 한국비블리아학회지
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• 제22권3호
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• pp.173-188
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• 2011

본 연구는 독서장애인을 위한 DAISY 서비스 인터페이스 구성에 대한 경험적인 권장사항을 밝히기 위한 연구로서 실제 서비스 사례를 기반으로 연구가 진행되었다. 서비스 사례는 LG 상남도서관에서 제공 중인 책읽어주는 도서관 서비스(http://voice.lg.or.kr)를 대상으로 하였다. 연구방법은 웹 서비스를 통해 제공되는 DAISY 플레이어(S/W)의 서비스 인터페이스를 전문가 집단이 평가하고, 평가 결과를 반영하여 신규 DAISY 플레이어를 개발하는 방식으로 진행되었다. 전문가 집단의 현재 인터페이스 평가 결과 신규 인터페이스에 반영해야 할 주요 개선사항이 도출되었으며, 주요 개선사항으로는 스크린리더의 화면 낭독 흐름 고려, 소프트웨어 동작 지연시 오류 인식 방지, 웹 기반 소프트웨어의 개발, 다양한 부가기능의 제공, 단축키 충돌 방지 등이 제시되었다.

• 한국응급구조학회지
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• 제23권2호
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• pp.125-138
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• 2019

Purpose: This study aimed to assess college students' knowledge, attitude, and health behavior regarding cancer based on 10 national cancer prevention recommendations and to examine the relation between these variables. Methods: The participants were 189 college students in J city. Data were collected with a questionnaire consisting of items on cancer-related knowledge, attitude toward cancer, and implementation of 10 national recommendations on cancer. The data were analyzed using independent two-sample t-test, one-way analysis of variance, $Scheff{\acute{e}}$ multiple comparison test, Pearson's correlation coefficients, and multiple regression(stepwise) analysis with SPSS/WIN 21.0 program (IBM, Armonk, NY, USA). Results: The mean scores for knowledge, attitude, and health behavior were 23.83 points (out of a possible 32), 33.10 points (out of possible 50), respectively. Attitude was positively correlated with health behavior and accounted for 37.7% of cancer prevention health behavior. Conclusion: The findings of this study suggest that the related factors should be considered in the development and implementation of systemic education programs that can encourage and promote cancer prevention health behavior among college students.

• Journal of Information Processing Systems
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• 제18권1호
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• pp.75-88
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• 2022

With the development of the sharing economy, existing recommender services are changing from user-item recommendations to user-user recommendations. The most important consideration is that all users should have the best possible satisfaction. To achieve this outcome, the matching service adds information between users and items necessary for the existing recommender service and information between users, so higher-level data mining is required. To this end, this paper proposes a user-to-user matching service (UTU-MS) employing the prediction of mutual satisfaction based on learning. Users were divided into consumers and suppliers, and the properties considered for recommendations were set by filtering and weighting. Based on this process, we implemented a convolutional neural network (CNN)-deep neural network (DNN)-based model that can predict each supplier's satisfaction from the consumer perspective and each consumer's satisfaction from the supplier perspective. After deriving the final mutual satisfaction using the predicted satisfaction, a top recommendation list is recommended to all users. The proposed model was applied to match guests with hosts using Airbnb data, which is a representative sharing economy platform. The proposed model is meaningful in that it has been optimized for the sharing economy and recommendations that reflect user-specific priorities.

• 임상간호연구
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• 제29권1호
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• pp.75-84
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• 2023

Purpose: This study developed a protocol for nursing care after death for adult patients in hospitals. Methods: This was a methodological study to develop a care after death protocol. The preliminary protocol was developed based on a literature review, guidelines, and practice recommendations from groups of experts and clinical nurses. Content validity was evaluated by a group of experts (n=6) and nurses (n=30) in two hospitals. Results: The preliminary protocol recommendations were modified by validation and the open-question analysis results. The final protocol comprised three general recommendations and 43 recommendations in five steps that are verification and notification of a death, personal care of the body, viewing the patient, patient transfer, and documentation and self-care. Conclusion: This study result provides nurses with a consensus information on patient care after death and family support in a hospital setting. This nursing protocol is expected to improve the quality of care after death for adult patients and their families, and can be used for developing educational and emotional support for nurses to accomplish their important role.

• 유통과학연구
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• 제21권1호
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• pp.1-12
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• 2023

Purpose: The primary purpose of this research is to understand the potential influence of various factors, namely, pharmacies' recommendations, families' and friend recommendations, price, country of origin, and past experience, on the purchasing decision of nonprescription medicines in the Jordanian context. Research design, data, and methodology: A survey was conducted among 220 Jordanian consumers through a self-administered questionnaire. Further, the authors utilized the mall intercept method as a convenience sampling technique to recruit the respondents who shop at different pharmacies. The data were analyzed using various statistical techniques, such as frequency and percentage for describing the demographics of the sample, Cronbach's alpha for testing the reliability of the data, skewness and kurtosis to check the normality of data, and further, multiple regression using SPSS version 25 was performed for examining the hypotheses. Results: The findings revealed that pharmacists' recommendation, recommendations from friends and family, and price positively influenced consumers' purchase decisions of OTC medicines in Jordan, whereas consumers' past experience and country of origin had no influence on consumers' purchasing decisions of OTC medicines. Conclusions: The paper examines the influence of various factors on customers' purchase decisions of OTC medicines, draws conclusions, and makes recommendations. Also, research limitations are mentioned.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권2호
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• pp.284-310
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• 2024

Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.

• 스마트미디어저널
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• 제13권1호
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• pp.67-75
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• 2024

최근 검색사이트의 인공지능 기반 제품 추천 서비스의 도입이 늘어나고 있는 추세이다. 본 연구는 인공지능 기반 제품 추천에 대한 소비자의 반응 및 광고효과를 이해하고자 브랜드의 특성과 소비자 성향에 따라 AI 상품추천에 대한 소비자의 반응이 어떻게 달라지는지 연구하였다. 본 연구는 대학생을 대상으로 실험연구를 진행하였으며 브랜드 명성(높음 vs.낮음)과 비교성향수준(높음 vs.낮음)이 AI가 추천한 상품의 브랜드태도 및 구매의향에 미치는 영향을 검증하였다. 본 연구 결과 브랜드 명성과 비교성향 수준은 AI가 추천한 상품의 브랜드 태도에 영향을 미치는 것으로 나타났다. 본 연구의 결과는 AI 상품추천 서비스에 대한 소비자의 반응을 보다 세부적으로 이해하고 효과에 영향을 미치는 잠재적 요인들을 검증하였으며 AI를 활용한 서비스 전략 수립에 유용한 시사점을 제공하는 데 의의가 있다.

• Korean Journal of Radiology
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• 제20권4호
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• pp.542-557
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• 2019

The occurrence of incidentally detected pancreatic cystic lesions (PCLs) is continuously increasing. Radiologic examinations including computed tomography and magnetic resonance imaging with magnetic resonance cholangiopancreatography have been widely used as the main diagnostic and surveillance methods for patients with incidental PCLs. Although most incidentally detected PCLs are considered benign, they have the potential to become malignant. Currently, we have several guidelines for the management of incidental PCLs. However, there is still debate over proper management, in terms of accurate diagnosis, optimal follow-up interval, and imaging tools. Because imaging studies play a crucial role in the management of incidental PCLs, the 2017 consensus recommendations of the Korean Society of Abdominal Radiology for the diagnosis and surveillance of incidental PCLs approved 11 out of 16 recommendations. Although several challenges remain in terms of optimization and standardization, these consensus recommendations might serve as useful tools to provide a more standardized approach and to optimize care of patients with incidental PCLs.

• 임상간호연구
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• 제22권3호
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• pp.285-293
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• 2016

Purpose: The purpose of this study was aimed to develop evidence-based nursing practice guideline for preventing intermittent urinary catheterization (IUC) related complications using guideline remake process. Methods: Guideline remake process was conducted according to guideline adaptation manual developed by Gu et al (2012) which consisted of three main phases and 9 modules including a total of 24 steps. Results: Newly developed IUC guideline consists of introduction, overview of intermittent catheterization, summary of recommendations, recommendations, references, and appendices. There were 50 recommendations in 5 sections including assessment, equipments, catheterization, complications management, and education/consult. Three recommendations (6%) were graded A, and five (10%) and 41 recommendations(82%) were B and C, respectively. Conclusion: The IUC remade-guideline was developed based on evidence-based nursing and therefore, this guideline is recommended to be disseminated and utilized by nurses nationwide to improve the quality of care for IUC and to decrease the IUC related complications.