• 대한간호학회지
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• 제30권6호
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• pp.1569-1579
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• 2000

The purpose of this study was to identify the level of grief experience, family hardiness and family resource for management after bereavement of a family member. The subjects of this study were 100 family members who had lost a family member from cancer within the past two years. The data was analyzed using the SPSS program for descriptive statistics, t-test, ANOVA, Duncan test, and Pearson correlation. The results were as follows. 1. The mean score for the level of grief was 2.84 $\pm$ 0.66. The mean score for the a family hardiness was 3.08 $\pm$ 0.39. The mean score for the level of family resource management was 2.70 $\pm$ 0.35. 2. The level of grief experience differed respondent's age was F=2.95, p=.02, and type of bereavement was t=2.01, p=.04. 3. The level of family hardiness was not significantly different according to respondent's and familial characteristics. 4. The level of family resource management differed according to monthly income of the family (F=3.98, p=.01). 5. There were negative correlations between grief experience and family hardiness (r= -.551, p<.001), grief experience and family resource for management (r=-.351, p<.001). Family hardiness was positively related with family resource for management (r=.709, p<.001). In conclusion, family hardiness and family resource management were identified as important variables that contributed to reduce the grief experience. Therefore, it is important to develop nursing intervention that enhances family hardiness and family resource for management for bereaved family.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2004년도 GIS/RS 공동 춘계학술대회 논문집
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• pp.493-498
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• 2004

The objective of the present study is to compare various conventional and recently evolved satellite image-processing techniques and to ascertain the best possible technique that can identify and position of aquaculture farms accurately in and around the Younggwang coastal area. Several conventional techniques performed to extract such information fiom the Landsat-TM imagery do not seem to yield better information about the aquaculture farms, and lead to misclassification. The large errors between the actual and extracted aquaculture farm information are due to existence of spectral confusion and inadequate spatial resolution of the sensor. This leads to possible occurrence of mixture pixels or 'mixels' of the source of errors in the classification techniques. Understanding the confusing and mixture pixel problems requires the development of efficient methods that can enable more reliable extraction of aquaculture farm information. Thus, the more recently evolved methods such as the step-by-step partial spectral end-member extraction and linear spectral unmixing methods are introduced. The farmer one assumes that an end-member, which is often referred to as 'spectrally pure signature' of a target feature, does not appear to be a spectrally pure form, but always mix with the other features at certain proportions. The assumption of the linear spectral unmxing is that the measured reflectance of a pixel is the linear sum of the reflectance of the mixture components that make up that pixel. The classification accuracy of the step-by-step partial end-member extraction improved significantly compared to that obtained from the traditional supervised classifiers. However, this method did not distinguish the aquaculture ponds and non-aquaculture ponds within the region of the aquaculture farming areas. In contrast, the linear spectral unmixing model produced a set of fraction images for the aquaculture, water and soil. Of these, the aquaculture fraction yields good estimates about the proportion of the aquaculture farm in each pixel. The acquired proportion was compared with the values of NDVI and both are positively correlated (R$^2$ =0.91), indicating the reliability of the sub-pixel classification.ixel classification.

• 산업경영시스템학회지
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• 제43권3호
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• pp.216-227
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• 2020

The purpose of this paper is to identify a relative importance and priority of the factors of Competencies of project team member. It aims to present the differential competency factors from a differentiated perspective by applying the Leadership Development Questionnaire, which is the competency dimension required for manager, to team member. (1) Background: The diverse needs of customers and companies, and the uncertainty, complexity, ambiguity, and volatility of the environment surrounding the company in the era of the Fourth Industrial Revolution threaten the survival of company. In this respect, companies should implement the project management approach and strive to increase the capabilities of each team member. (2) Methods: AHP method was used to prioritize which factors were considered more importance level and the gap of relative importance level between project manager group and team members group. (3) Results: In the analysis of the relative importance of the upper class, weights were derived in the order of managerial competence, intellectual competence, and emotional competence. The sub-factor that respondents prioritize was communication as the 1st priority, and it was analyzed in the order of strategic perspective, achieving, critical analysis and judgement, and vision and imagination. There were some differences in the ranking of the relative importance of achieving and vision and imagination attributes between the PM group and TM group, it was analyzed that there was no significant difference overall. (4) Implications: The results of this study confirmed the recognition that team members are required to have the same competencies as the project manager. And based on the priorities of the competencies required of team members, companies are expected to cultivate professional and competent team members, and expand the roles and authority of team members so that they can actively carry out projects.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2018년도 학술발표회
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• pp.155-155
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• 2018

Uncertainty in flood forecasting using a coupled meteorological and hydrological model is arisen from various sources, especially the uncertainty comes from the inaccuracy of Quantitative Precipitation Forecasts (QPFs). In order to improve the capability of flood forecast, the uncertainty estimation and mitigation are required to perform. This study is conducted to investigate and reduce such uncertainty. First, ensemble QPFs are generated by using Monte - Carlo simulation, then each ensemble member is forced as input for a hydrological model to obtain ensemble streamflow prediction. Likelihood measures are evaluated to identify feasible member. These members are retained to define upper and lower limits of the uncertainty interval and assess the uncertainty. To mitigate the uncertainty for very short lead time, a blending method, which merges the ensemble QPFs with radar-based rainfall prediction considering both qualitative and quantitative skills, is proposed. Finally, blending bias ratios, which are estimated from previous time step, are used to update the members over total lead time. The proposed method is verified for the two flood events in 2013 and 2016 in the Yeonguol and Soyang watersheds that are located in the Han River basin, South Korea. The uncertainty in flood forecasting using a coupled Local Data Assimilation and Prediction System (LDAPS) and Sejong University Rainfall - Runoff (SURR) model is investigated and then mitigated by blending the generated ensemble LDAPS members with radar-based rainfall prediction that uses McGill algorithm for precipitation nowcasting by Lagrangian extrapolation (MAPLE). The results show that the uncertainty of flood forecasting using the coupled model increases when the lead time is longer. The mitigation method indicates its effectiveness for mitigating the uncertainty with the increases of the percentage of feasible member (POFM) and the ratio of the number of observations that fall into the uncertainty interval (p-factor).

• 한국간호교육학회지
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• 제29권3호
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• pp.302-318
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• 2023

Purpose: This study aimed to identify the variables related to the organizational silence of Korean hospital nurses and to examine the effect sizes of correlations between the related variables and sub-types of organizational silence. Methods: Relevant studies were searched through a systematic search in six Korean electronic databases (RISS, ScienceON, KCI, DBpia, e-Article, and KISS) using June 2022 as the end date. Thirteen studies were identified through a systematic review and eight of them were meta-analyzed. The correlation effect size r (ESr) for each related variable was calculated. Results: Twenty-two related variables were identified from the systematic review. Of them, organizational culture was the most frequently examined. Seven variables (three organizational, two leader-member exchange, and two consequences of organizational silence) were found eligible for the meta-analysis. The intention of turnover (ESr=.39; 95% confidence interval, 95% CI=.32 to .45) and leader-member exchange ("manager's leaderships" ESr=-.33, 95% CI= -.43 to -.21; "manager's inclination to reject negative feedback" ESr=.32, 95% CI=.23 to .39) had larger correlation effect sizes than the other variables that related to organizational silence, in particular, acquiescent silence, which had the largest correlation effect size among the three sub-types of organizational silence. Conclusion: These findings show that the intention of turnover and leader-member exchanges were the main factors that related to the organizational silence. This indicates that it is necessary to develop management and education programs, as well as communication systems that focus on reducing and managing organizational silence, especially acquiescent silence.

• Journal of Pharmaceutical Investigation
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• 제39권1호
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• pp.43-49
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• 2009

Aspirin or acetylsalicylic acid, a member of the salicylate family, is frequently used as an analgesic, antipyretic, anti-inflammatory and antiplatelet drug. Because aspirin is chemically unstable in water and heat for tablet formulation, additives including lubricants are used in preparing aspirin tablets, using a dry-granulation process. Aspirin tablets are produced by a number of manufacturers which usually use their own unique combination of additives during the manufacturing process. In this study, we employed an NMR based metabolomics technique to identify the manufacturers of various aspirin tablets. Aspirin tablets from six different companies were analyzed by 1H 400 MHz NMR. The acquired data was then integrated and processed by principal component analysis (PCA). Based on the NMR data, we were able to identify peaks corresponding to acetylsalicylic acid in all of the six samples, whereas different NMR patterns were found in the aromatic and aliphatic regions depending on the unique additive used. These observations led to the conclusion that the differences in the NMR patterns among the different aspirin tablets were due to the presence of additives.

• 한국안전학회지
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• 제27권1호
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• pp.86-95
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• 2012

The BWIM(Bridge Weigh-In-Motion) is a technology to identify vehicle properties, such as weight, speed, axle spacing and running lane, passing over a bridge by using dynamic response of bridge member. Such information will be used for assessing durability and establishing a maintenance strategy of roadway structures. In this paper, as a first step for developing BWIM system, analytical and experimental studies were conducted in order to verify whether the response of vertical stiffener in steel girder bridge can be used to identify vehicle properties running on the bridge. It was known from this study that such vehicle information could be estimated reasonably by using strain time history curve of a vertical stiffener due to running vehicles. It is because the effect of each axle-load of vehicle appears definitely in the curve. However, as the magnitude of strain of vertical stiffener is effected by running pattern of vehicles, further study is necessary to reduce error when estimating vehicle weight.

• Asian Pacific Journal of Cancer Prevention
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• 제13권8호
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• pp.3899-3903
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• 2012

B7-H3 is a newly discovered member of the B7/CD28 superfamily which functions as an important T-cell immune molecule. It has been reported recently that B7-H3 is highly expressed in many cancer cells, the data indicating that it may be a regulation factor contributing to tumor-resistance. In our study, we used bioinformatics to identify differentially expressed genes between colonic cancer cells and normal colonic cells, aiming to analyze mechanisms and identify sub-pathways closely related to progression, with the final aim of finding small molecule drugs which might interfere this progression. We found that ajmaline is one related factor which may enhance self-immunity in colon carcinoma therapy and B7-H3 plays important roles with regard to immunoreactions of colonic cancer cells. All the results indicate that H7-B3 is a favorable prognostic biomarker for colon carcinomas, providing novel information regarding likely targets for intervention.

• 보건교육건강증진학회지
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• 제29권5호
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• pp.77-88
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• 2012

Objectives: This paper aims to identify the dimensions of community capacity in a public residence lease apartment complex in Seoul as a case study, and discusses their application to community health promotion. Methods: The research team performed a focus group interview and a brief survey with resident committee representatives to explore community context and to identify the dimensions of community capacity and their order of priority. Results: We identified many groups with different senses of community and various dynamics in the community. Seven dimensions of community capacity were identified. However, there are different developmental stages among them. Also there are some influences with the different directions in a dimension, e.g. leadership and citizen participation. Conclusions: This study illustrated the identification of the dimensions of community capacity focused on the perspective and recognition of the community and community member, as an effort to understand community capacity in domestic community health promotion context.

• International Journal of Advanced Culture Technology
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• 제8권2호
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• pp.76-84
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• 2020

In general, members of an organization want their own growth and development. As these members grow or develop, they feel satisfied and fulfilled in the process. Growth or development can motivate members to become more involved in their jobs. Therefore, these concepts are very important for organizations as well as individual members. Various elements of the organization affect the growth of its members. Leaders influence members to achieve organizational goals. Leaders can therefore be an important variable influencing the growth of members. Specific leadership informally develops the potential to identify and satisfy members' personal needs and to achieve higher performance. These leader behaviors motivate members and drive their growth. Thus, this leadership will have a significant impact on the growth of members. In addition, in this relationship, if members have perceived organizational support, they can further improve their expectations for growth. Therefore, support from leaders and organizations will have a positive impact on employee growth. This study highlights the importance of the growth of members of the organization. It demonstrates the moderating effects of leader's individualized consideration and perceived organizational support necessary elements for member growth. Through this process, the purpose and significance of the study are to identify the variables that affect the personal growth of members and explain how they can grow.