• 대한간호학회지
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• 제28권1호
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• pp.37-46
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• 1998

Recently the concept of 'empowerment' not only attracts attention in the area of management but also is considered as an useful concept in the areas of nursing theory. practice, education, and research. The purpose of this paper is to clarify the meaning of the concept 'empowerment'. More concretely, it is to find the concept that can be applied appropriately to the area of nursing management. This study uses Walter & Avant's(1983) process of concept analysis. The attributes of empowerment based on the concept can be defined concisely as follows : 1. a dynamic and interaction process 2. a partnership which values self and others : power shaving 3. mutual decision-making using resources, opportunities, and authority 4. accept autonomy and responsibility Antecedents of empowerment consist of 1) mutual trust and respect, 2) education and support, 3) participation and commitment. In regard to the consequences of empowerment, it is expected to 1) positive self-esteem, 2) ability to set and reach goals, 3) the promotion of organization's effectiveness and productivity, 4) provide effective and high quality health-care, 5) a sense of hope for the future. The concept of empowerment is certainly believed that it will help future nurses since they needs an integrated technique that can treat acute and chronic patients' nursing, individuals, families, and communities. Therefore. it is necessary to develop the instrument including the defining attributes identified in this study. Also, it is need follow up study of this concept.

• 디지털콘텐츠학회 논문지
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• 제8권4호
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• pp.499-507
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• 2007

인터넷을 통한 웹서비스에 대한 사용자들의 요구가 증가하고 다양해지면서 정보들을 수집하고 통합하여 특정집단 또는 일반인들의 의사결정을 지원하기 위한 인터넷 데이터웨어하우스에 대한 중요성이 갈수록 증대되고 있다. 초기의 인터넷 데이터웨어하우스는 기존의 데이터베이스와 XML을 이용한 형태로 연구되었으나, 정보 표현상의 한계로 인하여 점차 RDFS와 같은 메타데이터 스키마를 이용한 시스템 형태로 변화하고 있다. 인터넷의 특성상 분산된 시스템 환경에서 서로 상이한 메타데이터 스키마들을 통합과 저장이 중요한 요소이다. 그러나, 서로 상이한 스키마간에는 충돌할 수 있는 요소들이 존재하므로 지역 스키마들 간에 발생할 수 있는 의미적, 구조적 충돌을 감지하고 고려하여 저장이나 질의 처리 등에서 완벽한 처리가 가능하도록 시스템을 구성하여야 한다. 본 논문에서는 이와 같이 분산된 환경에서 지역 메타데이터 스키마들 간의 통합시 충돌이 발생하는 경우를 분석하고, 이에 따른 충돌 해결 기법을 제시하여 완벽한 스키마 통합이 가능하도록 한다.

• 산업경영시스템학회지
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• 제30권4호
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• pp.155-163
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• 2007

Future war needs a lot of changes for military organization. Specially, concept of the "Speed" is raised importantly after Iraq war of U.S. Armed Forces. So, He is a lot of studying supply chain for logistical support speed improvement. Korea Marine Corps has made an efforts to improve supply chain. However it is real that is putting various techniques by prescription rather than fundamental change. These simplicity prescriptions are not only systematic but also insufficient for Marine Corps' survival. In addition, Korea marine corps in actuality is depending on many members in marine and navy in feed chain. Thus it is not establishing even tactical, decision-making plan of operation for support ability cultivation. Therefore, in this study, with Sense and Response concept that is United States Marine Corps' support strategy, presented theoretical background and basis frame that serve that Korea Marine Corps's supply chain changes to perception reaction formation.

• 한국멀티미디어학회논문지
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• 제19권8호
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• pp.1516-1529
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• 2016

While global manufacturing is becoming more competitive due to variety of customer demand, increase in production cost and uncertainty in resource availability, the future ability of manufacturing industries depends upon the implementation of Smart Factory. With the convergence of new information and communication technology, Smart Factory enables manufacturers to respond quickly to customer demand and minimize resource usage while maximizing productivity performance. This paper presents the development of a big data analytics platform architecture for Smart Factory. As this platform represents a conceptual software structure needed to implement data-driven decision-making mechanism in shop floors, it enables the creation and use of diagnosis, prediction and optimization models through the use of data analytics and big data. The completion of implementing the platform will help manufacturers: 1) acquire an advanced technology towards manufacturing intelligence, 2) implement a cost-effective analytics environment through the use of standardized data interfaces and open-source solutions, 3) obtain a technical reference for time-efficiently implementing an analytics modeling environment, and 4) eventually improve productivity performance in manufacturing systems. This paper also presents a technical architecture for big data infrastructure, which we are implementing, and a case study to demonstrate energy-predictive analytics in a machine tool system.

• Experimental and Molecular Medicine
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• 제50권12호
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• pp.10.1-10.11
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• 2018

Cancer growth and progression are associated with immune suppression. Cancer cells have the ability to activate different immune checkpoint pathways that harbor immunosuppressive functions. Monoclonal antibodies that target immune checkpoints provided an immense breakthrough in cancer therapeutics. Among the immune checkpoint inhibitors, PD-1/PD-L1 and CTLA-4 inhibitors showed promising therapeutic outcomes, and some have been approved for certain cancer treatments, while others are under clinical trials. Recent reports have shown that patients with various malignancies benefit from immune checkpoint inhibitor treatment. However, mainstream initiation of immune checkpoint therapy to treat cancers is obstructed by the low response rate and immune-related adverse events in some cancer patients. This has given rise to the need for developing sets of biomarkers that predict the response to immune checkpoint blockade and immune-related adverse events. In this review, we discuss different predictive biomarkers for anti-PD-1/PD-L1 and anti-CTLA-4 inhibitors, including immune cells, PD-L1 overexpression, neoantigens, and genetic and epigenetic signatures. Potential approaches for further developing highly reliable predictive biomarkers should facilitate patient selection for and decision-making related to immune checkpoint inhibitor-based therapies.

• 국제초고층학회논문집
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• 제10권4호
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• pp.299-310
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• 2021

External fire spread has the potential to breach vertical compartmentation and violate the fire safety strategy of a building. The traditional design solution to this has been the use of non-combustible materials and spandrel panels but recent audits show that combustible materials are widespread and included in highly complex systems. Furthermore, most jurisdictions no longer require detailing of spandrel panels under many different circumstances. These buildings require rapid investigation using rational scientific methods to be able to adequately classify the fire risk. In this work, we use an extensive experimental campaign of material-scale data to explore the critical parameters driving upward flame spread. Two criteria are outlined using two different approaches. The first evaluates the time to ignition and the time to burnout to assess the ability for a fire to spread, and can be easily determined using traditional means. The second evaluates the preheated flame length as the critical parameter driving flame spread. A wide range of cladding materials are ranked according to these criteria to show their potential propensity to flame spread. From this, designers can use conservative approaches to perform fire risk assessments for buildings with combustible materials or can be used to aid decision-making. Precise estimates of flame spread rates within complex façade systems are not achievable with the current level of knowledge and will require a substantial amount of work to make progress.

• International journal of advanced smart convergence
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• 제8권3호
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• pp.102-114
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• 2019

There are various researchers who studied the relationship between seasons and feelings. However, only a few did shed light on how these two variables affect decision-making and physical behaviors especially prosocial behavior which emphasize on the benefits of other people and/or society as a whole. Due to a lack of studies on the topic, we investigated whether the combination of seasons and message framing could be useful in eliciting intention to help on an environmental issue. A 3x2 experiment examined the interactions between seasonal mood (summer, winter, controlled) and types of message framing (gain, loss) on future helping intention (volunteer, donation, petition signing). The findings suggest that in normal circumstances where seasonal mood were not applied, gain message framing was more effective in promoting higher intention to sign a petition than loss message framing. However, when thinking of winter, loss message framing has greater ability to do so than gain message framing. Moreover, seasons and mood are found to be associated with a higher positive mood in summer and a negative mood in winter. Lastly, limitations and implications are discussed.

• 통합자연과학논문집
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• 제12권2호
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• pp.58-68
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• 2019

Critical thinking is essential to implementing the nursing process requiring timely decision making. The study examined the effects of a critical thinking course for nurses in the RN-BSN program. The study used a pre- and post-test design with a control group. The experimental group was a convenience sample of 24 working nurses attending a health college. The control group was 24 fellow nurses. The nursing process-based critical thinking course was provided to the experimental group two and half hours a week for 8 weeks. Teaching methods included lectures followed by a summary and quiz, brainstorming and action learning, and lecturer feedback. A pamphlet about views of professional occupation was provided to the control group. The data were collected using self-report questionnaires and analyzed to examine differences in the test scores before and after the intervention. The scores of critical thinking disposition, problem-solving process, and clinical competence increased significantly in the experimental group but did not in the control group. The difference between the two groups was also statistically significant in critical thinking disposition, problem-solving process, and clinical competence. It is necessary that a robust educational program or training to enhance critical thinking ability of nurses are provided in clinical settings and that nurses keep going on thinking critically in their practice.

• 한국항공운항학회지
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• 제27권1호
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• pp.69-80
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• 2019

The purpose of this study is to investigate factors that affect menu navigation time and consumer trust in food and beverage(F&B) restaurants to analyze the menu's effect on impulse buying behavior. Based on the results of the analysis, this paper derives theoretical and practical implications to improve the growth and development of F&B restaurants located in airports. According to empirical analysis, it was proven menu browsing time has been found to strongly influence passengers' impulsive order behavior. A passenger with a strong "consumption ability" navigates the menu for a longer period, which increases the likelihood of impulsive purchases. Service appeal also has a significant influence on menu navigation time. Third-party certification did not appear to help build passenger confidence, thus yielding contradictory results compared to previous studies. Word of mouth had the strongest influence on trust formation. Finally, when passengers were satisfied with the menu items of F&B restaurants they had previously ordered, they tended to believe that the menu items they had not tried would also be good. In sum, impulsive menu orders have a direct impact on the profitability of F&B restaurants.

• 농업과학연구
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• 제47권4호
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• pp.769-782
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• 2020

Interest in fruit and vegetables has increased due to changes in consumer consumption patterns, socioeconomic status, and family structure. This study determined the factors influencing the demand for fruit and vegetables (strawberries, paprika, tomatoes and cherry tomatoes) using a panel of Rural Development Administration household-level purchases from 2010 to 2018 and compared the ability to the prediction performance. An artificial neural network model was constructed, linking household characteristics with final food expenditure. Comparing the analysis results of the artificial neural network with the results of the panel model showed that the artificial neural network accurately predicted the pattern of the consumer panel data rather than the fixed effect model. In addition, the prediction for strawberries was found to be heavily affected by the number of families, retail places and income, while the prediction for paprika was largely affected by income, age and retail conditions. In the case of the prediction for tomatoes, they were greatly affected by age, income and place of purchase, and the prediction for cherry tomatoes was found to be affected by age, number of families and retail conditions. Therefore, a more accurate analysis of the consumer consumption pattern was possible through the artificial neural network model, which could be used as basic data for decision making.