• 한국보건간호학회지
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• 제35권3호
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• pp.343-355
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• 2021

Purpose: This study aimed to identify the effects of nursing students' ethical awareness, ethical decision-making and attitude toward performance on intention about performance of infection control guidelines in pandemic infectious diseases. Methods: The survey was performed on 163 nursing students in three universities. Data were collected using a structured questionnaires and analyzed with t-test, analysis of variance (ANOVA), Pearson's correlation and multiple regression analysis. Results: Perceived health status, ethical awareness and attitude toward performance of infection control guidelines about major commitment were significant predictive variables. These variables accounted for 48.1% of the variance in major commitment. Conclusion: The findings indicate the necessity of developing educational programs to enhance nursing students's ethical awareness, and increase performance of control guidelines to prepare for the pandemic infectious diseases.

• 대한화학회지
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• 제44권1호
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• pp.68-73
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• 2000

본 연구에서는 고등학교 학생들의 화학문제 해결력과 인지적 변인(논리적 사고력, 기억 용량,학습 전략) 및 정의적 변인(자아 효능감, 능력에 대한 자아 개념, 학습 목적, 과학에 대한 태도) 사이의 관계를조사하였다. 수리 문제와 개념 문제 해결력에 대한 변인들의 예언력을 중다 회귀 분석으로 조사하였다. 연구 결과, 인지적 변인 중 논리적 사고력이 수리 문제의 해결력을 유의미하게 설명하였고, 개념 문제의 해결력은 학습 전략이 가장 많이 설명하였으나 유의미하지는 않았다. 정의적 변인 중 능력에 대한 자아 개념은 수리 문제와 개념 문제 해결력 모두에 대해 유의미한 예언 변인이었으며, 자아 효능감은 개념 문제 해결력과 유의미한 상관이 있었으나 설명력은 없었다.

• 대한간호학회지
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• 제28권2호
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• pp.344-357
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• 1998

This study was designed to construct a model that predicts the quality of life of family caregivers with a chronically ill patient. The hypothetical model was developed based on the findings from past studies on quality of life and on the family with a chronically ill patient. Data were collected by self-reported questionnaires from 200 family caregivers in Seoul & Kyung Gi-Do, from May 1 to July 21, 1997. Data were analyzed using descriptive statistics and correlation analysis. The Linear Structural Relationship(LISREL) modeling process was used to find the best fit model which predicts causal relationships among variables. The results are as follows : 1. The overall fit of the hypothetical model to the data was moderate [X$^2$=31.54(df=23, p=.11), GFI=.96, AGFI=.91, RMR=.04]. 2. Paths of the model were modified by considering both its theoretical implication and the statistical significance of the parameter estimates. Compared to the hypothetical model, the revised model has become parsimonious and had a better fit to the data expect chi-square value(GFI=.95, AGFI=.91, RMR=.04). 3. Some of predictive factors, especially economic status, physical ability to perform daily-life activity, period after disease-onset, social support and fatigue revealed indirect effects on the quality of life of family caregivers with a chronically ill patient. 4. The factors, burden and role satisfaction revealed significant direct effects on the quality of life of family caregivers with a chronically ill patient. 5. All predictive variables of quality of life of family caregivers with a chronically ill patient, especially economic status, physical ability to perform daily-life activity, period after disease-onset, social support, fatigue, burden and role satisfaction explained 38.0% of the total variance in the model. In conclusion, the derived model in this study is considered appropriate in explaining and predicting quality of life of family caregivers with a chronically ill patient. Therefore it can effectively be used as a reference model for further studies and suggests direction in nursing practice.

• 대한전기학회논문지:시스템및제어부문D
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• 제53권1호
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• pp.40-49
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• 2004

In this paper, we propose a new architecture of Genetic Algorithms(GAs)-based Self-Organizing Polynomial Neural Networks(SOPNN), discuss a comprehensive design methodology and carry out a series of numeric experiments. The conventional SOPNN is based on the extended Group Method of Data Handling(GMDH) method and utilized the polynomial order (viz. linear, quadratic, and modified quadratic) as well as the number of node inputs fixed (selected in advance by designer) at Polynomial Neurons (or nodes) located in each layer through a growth process of the network. Moreover it does not guarantee that the SOPNN generated through learning has the optimal network architecture. But the proposed GA-based SOPNN enable the architecture to be a structurally more optimized network, and to be much more flexible and preferable neural network than the conventional SOPNN. In order to generate the structurally optimized SOPNN, GA-based design procedure at each stage (layer) of SOPNN leads to the selection of preferred nodes (or PNs) with optimal parameters- such as the number of input variables, input variables, and the order of the polynomial-available within SOPNN. An aggregate performance index with a weighting factor is proposed in order to achieve a sound balance between approximation and generalization (predictive) abilities of the model. A detailed design procedure is discussed in detail. To evaluate the performance of the GA-based SOPNN, the model is experimented with using two time series data (gas furnace and NOx emission process data of gas turbine power plant). A comparative analysis shows that the proposed GA-based SOPNN is model with higher accuracy as well as more superb predictive capability than other intelligent models presented previously.

• 대한간호학회지
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• 제42권3호
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• pp.434-442
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• 2012

Purpose: The purpose of this predictive study was to identify factors affecting health related quality of life (HRQoL) in patients with rheumatoid arthritis (RA). Methods: The participants in this study were 131 patients with RA who were recruited from the outpatient clinic of a university hospital in Seoul. Disease activity in rheumatoid arthritis was evaluated by calculating the Disease Activity Score 28. Disability in activities of daily living (ADL) was assessed with the Korean Health Assessment Questionnaire, and depression with The Center for Epidemiologic Studies Depression Scale. HRQoL was evaluated using The Short Form 36 Health Survey. Data were analyzed using descriptive statistics, correlation, and hierarchical multiple regression. Results: Pain, disability in ADL, disease activity, and depression correlated negatively with physical and mental dimensions of HRQoL. But hierachical multiple regression analysis revealed that disability in ADL and depression were the only variables negatively influencing physical and mental QoL after adjustment for influences of sociodemographic variables. Conclusion: Results of this study suggest that disability in ADL and depression, rather than disease activity and pain have profound effects on HRQoL in patients with RA. Further studies are needed to assess the predictive ability of disease activity and pain on HRQoL in this population.

• Asian Pacific Journal of Cancer Prevention
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• 제16권3호
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• pp.1019-1024
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• 2015

Background: Survival of breast cancer patients depends on a number of factors which are not only prognostic but are also predictive. A number of studies have been carried out worldwide to find out prognostic and predictive significance of different clinicopathological and molecular variables in breast cancer. This study was carried out at Nuclear Medicine, Oncology and Radiotherapy Institute (NORI), Islamabad, to find out the impact of different factors on overall survival of breast cancer patients coming from Northern Pakistan. Materials and Methods: This observational retrospective study was carried out in the Oncology Department of NORI Hospital. A total of 2,666 patients were included. Data were entered into SPSS 20. Multinomial logistic regression analysis was performed to determine associations of different variables with overall survival. P values <0.05 were considered significant. Results: The mean age of the patients was 47.6 years, 49.5% being postmenopausal. Some 1,708 were ER positive and 1,615 were PR positive, while Her 2 neu oncogene positivity was found in 683. A total of 1,237 presented with skin involvement and 426 had chest wall involvement. Some 1,663 had > 5cm tumors. Lymph node involvement was detected in 2,131. Overall survival was less than 5 years in 669 patients, only 324 surviving for more than 10 years, and in the remainder overall survival was in the range of 5-10 years. Conclusions: Tumor size, lymph node metastases, receptor status, her 2 neu positivity, skin involvement, and chest wall involvement have significant effects whereas age and menopausal status have no significant effect on overall survival of breast cancer patients in Pakistan.

• Journal of Trauma and Injury
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• 제22권2호
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• pp.154-160
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• 2009

Purpose: This study aimed to determine new criteria for detecting independent factors with high sensitivity in cases of cervical spine injury. We compared the sensitivity, the specificity, and the false negative predictive value (NPV) of plain radiographs with those of computed tomography for cervical spine injury in patients with minor head injury. Methods: We retrospectively reviewed the cases of 357 patients who underwent both cervical plain radiographs and computer tomography from January 2006, to September 2008. Patients were divided into two groups: the cervical spine injury group and the no cervical spine injury group. New criteria were organized based on variables that had significant differences in the logistic regression test. Results: Among the 357 patients, 78 patients had cervical spine injuries. The average age was $43.9{\pm}15.2$ yrs old, and the male-to-female ratio was 1.90. The most common mechanism of injury was motor vehicle accidents. There was a significant difference in loss of consciousness, Glasgow Coma Scale (GCS)=14, neurologic deficit, posterior neck tenderness, and abnormality of the cervical plain radiographs between the two groups on the logistic regression test. New criteria included the above five variables. If a patient has at least variable, the area under the ROC curve of the new criteria was 0.850, and the sensitivity and the false NPV were 87.2% and 5.2%, respectively. Conclusion: New criteria included loss of consciousness, GCS=14, neurologic deficit, posterior neck tenderness, and abnormality of the cervical plain radiographs. If the patient had at least 1 variable, he or she could have a of cervical spine injury with a sensitivity of 87.2% and a false NPV of 5.2%.

• 한국산업보건학회지
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• 제16권2호
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• pp.172-182
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• 2006

Self administered checklist is needed to be developed to evaluate ergonomic risk factors. This study was conducted to develop self administered form of American National Standards Institute (ANSI) Z-365 checklist which represents comprehensive ergonomic risk factors, and to evaluate validity of this checklist. This study had been conducted from May 2004 to July 2005, of which subjects were 147 workers from 4 workplaces. Response rates for every items of self administered form of ANSI Z-365 were evaluated. To estimate the validity of checklist, relationship between the checklist grade that ANSI recommended and work-related musculoskeletal disorders (WMSDs) symptom were calculated with and without adjustment of related variables. To evaluate the utility of checklist, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. Because response rates of almost items were over 90 %, item development was successful. Because the checklist was related with WMSDs symptom after adjusting related variables, the checklist might represents ergonomic risk well. Because of low sensitivity and NPV, high specificity and PPV, the checklist is not suitable for screening tool. The checklist has better relationship with more severe symptom. Because of high specificity of the checklist, using it with high sensitive tool would enhance it's utility. Further study to develop high sensitive and comprehensive self administered ergonomic checklist is needed.

• International Journal of Control, Automation, and Systems
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• 제2권4호
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• pp.423-434
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• 2004

In this paper, we introduce a new topology of Self-Organizing Polynomial Neural Networks (SOPNN) based on genetically optimized Multi-Layer Perceptron (MLP) and discuss its comprehensive design methodology involving mechanisms of genetic optimization. Let us recall that the design of the 'conventional' SOPNN uses the extended Group Method of Data Handling (GMDH) technique to exploit polynomials as well as to consider a fixed number of input nodes at polynomial neurons (or nodes) located in each layer. However, this design process does not guarantee that the conventional SOPNN generated through learning results in optimal network architecture. The design procedure applied in the construction of each layer of the SOPNN deals with its structural optimization involving the selection of preferred nodes (or PNs) with specific local characteristics (such as the number of input variables, the order of the polynomials, and input variables) and addresses specific aspects of parametric optimization. An aggregate performance index with a weighting factor is proposed in order to achieve a sound balance between the approximation and generalization (predictive) abilities of the model. To evaluate the performance of the GA-based SOPNN, the model is experimented using pH neutralization process data as well as sewage treatment process data. A comparative analysis indicates that the proposed SOPNN is the model having higher accuracy as well as more superb predictive capability than other intelligent models presented previously.reviously.

• 한국인터넷방송통신학회논문지
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• 제18권4호
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• pp.227-235
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• 2018

본 연구는 예비유아교사의 로봇활용교육 수용의도에 영향을 미치는 요인을 파악하기 위해 이루어졌다. 이를 위해 3년제 전문대학 재학생 259명을 대상으로 설문조사를 실시하고 수집된 자료는 SPSS 23.0을 이용하여 분석하였다. 예비유아교사의 배경변인별 수용의도와 각 예측요인의 차이를 살펴보기 위해 t-test와 일원분산분석을 실시하고, 지각된 용이성, 지각된 유용성, 혁신의지, 사회적 영향력이 예비유아교사의 로봇활용교육 수용의도에 어떠한 영향을 미치는지 알아보기 위해 중다선형 회귀분석을 실시하였다. 연구결과, 배경변인에 따라 수용의도와 각 예측요인은 의미있는 차이를 보이지 않았으며, 여러 예측요인 중 지각된 용이성과 지각된 유용성만 수용의도에 영향을 미치는 것으로 분석되었다. 또한, 지각된 용이성에는 혁신의지와 사회적 영향력이, 지각된 유용성에는 지각된 용이성과 사회적 영향력이 영향을 미치는 것으로 분석되었다.