• The Korean Journal of Rehabilitation Nursing
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• v.3 no.2
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• pp.154-168
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• 2000

This study was done to analyze the trends of research on stroke in Korea, to suggest future direction, for research on stroke. This article reviewed 75 nursing research papers on stroke done since 1990 to 2000 by examining them according to the period of publication or presentation, research design, type of subjects, measurement variables, the intervention outcome of experimental research, and theme of qualitative research. The research were as follows : 1. 26 of 75 studies were composed of master thesis and dissertation of graduate school. There were 53 nonexperimental research, 15 experimental research, and 7 qualitative studies design. 2. Stroke patients subject' Characteristic were 44 and Family and Spouses of caregiver support were 28 of total studies. 3. Most measurement instruments used for research were translated and redesigned it into Korean that developed by foreigners, and development measurement instruments used Kang's ADL. 4. Family support and Social support was shown the frequently among correlational research. 5. Methodological research were development of an evaluation tool for the quality of nursing care in stroke patients, caregiver support of development of nursing intervention list, and Home care Nursing Intervention protocol, and development of client selection criteria based on the needs of services to be offered. 6. The experimental research of intervention were mostly education nursing intervention, rehabilitation program on functional recovery, support nursing intervention, and applying a home care protocol on the nursing care intervention. 7. Theme of qualitative research were family experience, home care in family experience, soobal experience, illness experience, hope of Stroke patients and so on. Phenomenologic methodology and Granded Theory was designed of Qualitative research. On the basis of the above finding the following recommendations are made: 1. It's necessary to develop a reliable and variable measurement tool for stroke patients and family care of stroke patients. 2. It's necessary to study the comparison of Nursing Studies of stroke research abroad, the replication to establish the effect of nursing intervention stroke patients and family care of stroke patients.

• Journal of Korean Public Health Nursing
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• v.29 no.3
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• pp.594-607
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• 2015

Purpose: The purpose of this study was to test the effectiveness of a weight reduction program on the body weight, BMI, self-esteem, and self-efficacy of chronic mentally ill persons. Methods: A nonequivalent control group pre-posttest design was employed. Participants were 46 chronic mentally ill persons who agreed to participate in this study, and were assigned to an experimental group (n=23) and a control group (n=23). The weight reduction program was modified by the author, based on the Wellness program (Lilly Pharmaceutical Company, 2003), Lee (2007) and Kim (2013). Data analysis with frequency, ${\chi}^2$-test, Fisher's exact test, and t-test was performed using SPSS/Win 18.0 version. Results: The results showed a significant decrease in body weight and BMI and an increase in self-esteem in the experimental group compared to the control group. Conclusion: The weight reduction program had a positive effect on body weight, BMI, and self-esteem. Evaluation of drug compliance and vocational rehabilitation is recommended for long term effect of the program and conduct of further studies will be required for use of various resources for self-efficacy for inclusion in drug education in a program for improved health outcome.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.141-147
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• 2018

This study analyzed the early retired employees who stayed in company no longer than 3 years based on a certain company's personality evaluation result data. The predicted model was analyzed by dividing into two categories; the manufacture group and the R&D group. Independent variables were selected according to the stepwise method. A logistic regression model was selected as a prediction model among various supervised learning methods, and trained through cross-validation to prevent over-fitting or under-fitting. The accuracy of the two groups were confirmed by the confusion matrix. The most influential factor for early retirement in the manufacture group was revealed as "immersion," and for the R&D group appeared as "antisocial." In the past, people concentrated on collecting data by questionnaire and identifying factors that are highly related to the retirement, but this study suggests a sustainable early retirement prediction model in the future by analyzing the tangible outcome of the recruitment process.

• Journal of Environmental Impact Assessment
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• v.20 no.3
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• pp.367-379
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• 2011

This study was conducted to develop an ecological park planning model to enhance the functions of habitats and ecological corridors in Green Belt Areas, because changing policies have resulted in the degredation of the Green Belts due to progressive fragmentation of ecosystems. The principal outcome of the study is to plan an ecological park model through the restoration of habitats. In order to evaluate the capacity of the model to enhance the ecological functions of habitats and ecological corridors in Green Belt Areas, a simulation of habitats was carried out in the Sungnam-Yusoo region. The model was developed via following steps: 1. Selection of candidate sites and selection of the study site by analyzing development factors; 2. Selection of target species that can represent the habitat at the site; 3. Analysis of the site's suitability index for the target species; 4. Establishment of a conceptual plan to enhance and expand the currently produced suitability index; 5. Creation of a master plan based on the conceptual plan; and 6. Evaluation of the enhanced and expanded suitability index of the site. The study showed that the Habitat Unit (HU) of Rana coreana, which was selected as the target species of the study, increased from $28,044m^2$(3.6%) to $224,352m^2$(28.8%), and the HU of the site as the ecological corridor for wild animals increased from $4,674m^2$(0.6%) to $152,684m^2$(19.6%). The study results show that the ecological deficits of the Green Belt Area can be overcome by enhancing the ecological functions of the region, which should be beneficial. The model could be utilized for effective enhancement and management of other Green Belt Areas.

• Clinics in Shoulder and Elbow
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• v.21 no.1
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• pp.15-21
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• 2018

Background: This study was undertaken to compare the outcome of supervised and home exercises with respect to range of motion (ROM), pain, and Single Assessment Numeric Evaluation (SANE). We further correlated the ROM recovery and pain reduction as well. Methods: The study included 49 patients who underwent arthroscopic rotator cuff repair. Rehabilitation was initiated after 4 weeks of immobilization. A total of 29 patients performed supervised exercise 3 times a week. Standardized education and brochures for review were provided to the remaining 20 patients who insisted on home rehabilitation. Statistical analysis was performed for comparing pain Numerical Rating Scale (NRS), SANE, and ROM. In addition, we also evaluated the correlation between pain and ROM. Results: Comparison of the two groups revealed no significant differences in forward flexion, internal rotation, abduction, and pain NRS. However, SANE at the 9th week (63.8 vs. 55.0, p=0.038) and improvement of external rotation from the 5th to the 9th week (17.6 vs. 9.3, p=0.018) were significantly higher in the supervised exercise group as compared to the home exercise group. Correlation of pain NRS with forward flexion, external rotation, internal rotation and abduction were statistically not significant (correlation coefficient=0.032 [p=0.828], -0.255 [p=0.077], 0.068 [p=0.642], and -0.188 [p=0.196], respectively). Conclusions: The supervised rehabilitation after arthroscopic rotator cuff repair showed better improvement in external rotation and higher SANE score after 4 weeks of rehabilitation exercise. However, no statistically significant correlation was observed between the recovery of ROM and short-term pain relief.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.158-158
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• 2018

Drought is a recurrent natural hazard in Bangladesh. It has significant impacts on agriculture, environment, and society. Well-timed information on the onset, extent, intensity, duration, and impacts of drought can mitigate the potential drought-related losses. Thus, drought characteristics need to be explained in terms of frequency, severity, and duration. This paper aims to characterize the spatial and temporal pattern of meteorological drought using EDI and illustrated drought severity over Bangladesh. Twenty-seven (27) station-based daily rainfall data for the study period of 1981-2015 were used to calculate the EDI values over Bangladesh. The evaluation of EDI is conducted for 4 sub-regions over the country to confirm the historical drought record-developed at the regional scale. The finding shows that on average, the frequency of severe to extreme drought is approximately 0.7 events per year. As a result of the regional analysis, most of the recorded historical drought events were successfully detected during the study period. Additionally, the seasonal analysis showed that the extreme droughts were frequently hit in northwestern, middle portion of the eastern and small portion of central parts of Bangladesh during the Kharif(wet) and Rabi(dry) seasons. The severe drought was affected recurrently in the central and northern regions of the country during all cropping seasons. The study also points out that the northern, south-western and central regions in Bangladesh are comparatively vulnerable to both extreme and severe drought event. The study showed that EDI would be a useful tool to identify the drought-prone area and time and potentially applicable to the climate change-induced drought evolution monitoring at regional to the national level in Bangladesh. The outcome of the present study can be used in taking anticipatory strategies to mitigate the drought damages on agricultural production as well as human sufferings in drought-prone areas of Bangladesh.

• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.65-71
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• 2019

The propose of this study has been conducted to examine expression of c-Myc and Thymosin-${\beta}4$ in liver cirrhosis model from liver fibrosis and For the method of study, the experiment was conducted in 2 groups; liver cirrhosis model experiment group due to liver fibrosis and control group with distilled water. This study outcome showed that liver cirrhosis model experiment group had significantly higher expression of c-Myc and Thymosin-${\beta}4$. with changes to hepatic tissue of special staining and electron microscopy. In conclusion, in clinical tests regarding liver function, molecular evaluation of c-Myc and Thymosin-${\beta}4$ and their expression along with serological change and histological assessment can be utilized as a reference for diagnosing liver disease for prevention and diagnosis of the disease, Based on this research in the future, we will carry out an in-depth study by adding the types of experimental groups and related genes.

• Nuclear Engineering and Technology
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• v.51 no.3
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• pp.807-817
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• 2019

Airborne Gamma Ray Spectrometry (AGRS) with its important applications such as gathering radiation information of ground surface, geochemistry measuring of the abundance of Potassium, Thorium and Uranium in outer earth layer, environmental and nuclear site surveillance has a key role in the field of nuclear science and human life. The Broyden-Fletcher-Goldfarb-Shanno (BFGS), with its advanced numerical unconstrained nonlinear optimization in collaboration with Artificial Neural Networks (ANNs) provides a noteworthy opportunity for modern AGRS. In this study a new AGRS system empowered by ANN-BFGS has been proposed and evaluated on available empirical AGRS data. To that effect different architectures of adaptive ANN-BFGS were implemented for a sort of published experimental AGRS outputs. The selected approach among of various training methods, with its low iteration cost and nondiagonal scaling allocation is a new powerful algorithm for AGRS data due to its inherent stochastic properties. Experiments were performed by different architectures and trainings, the selected scheme achieved the smallest number of epochs, the minimum Mean Square Error (MSE) and the maximum performance in compare with different types of optimization strategies and algorithms. The proposed method is capable to be implemented on a cost effective and minimum electronic equipment to present its real-time process, which will let it to be used on board a light Unmanned Aerial Vehicle (UAV). The advanced adaptation properties and models of neural network, the training of stochastic process and its implementation on DSP outstands an affordable, reliable and low cost AGRS design. The main outcome of the study shows this method increases the quality of curvature information of AGRS data while cost of the algorithm is reduced in each iteration so the proposed ANN-BFGS is a trustworthy appropriate model for Gamma-ray data reconstruction and analysis based on advanced novel artificial intelligence systems.

• Journal of Biomedical and Translational Research
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• v.19 no.4
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• pp.110-115
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• 2018

Transient ischemic attack (TIA) indicates high risk for major stroke and is considered a medical emergency. Diffusion-weighted imaging (DWI) enables detection of acute ischemic lesions. The clinical significance of DWI positive lesions in TIA is obscure and its prevalence, clinical features are not established. Therefore, we performed a clinical, etiological and prognostic analysis through a cross-sectional analysis of 235 TIA patients, grouped according to presence of DWI lesion. Clinical features, underlying risk factors for stroke, outcome and rate of recurrence were analyzed. 3 months follow-up of modified Rankin Scales (mRS) were done with telephone survey. DWI positive lesions were present in 14.0% of patients. Etiological factors significantly associated with DWI lesions in TIA patients were male sex (p = 0.038), stroke history (p = 0.012) and atrial fibrillation (p < 0.001). Presence of at least one medium or high risk of cardioembolism from TOAST classification were not associated with lesions when excluding association to atrial fibrillation (p = 0.108). Clinical features showed no significant difference. Whether the patients had lesion-positive DWI was not related to an increase in mRS score during the hospital stay or at the 3-month follow-up after discharge. Future studies should include multi-center samples with large numbers, considering each unique medical environment. Routine acquisition of follow-up DWI for proper evaluation of the tissue-based definition of TIA should also be considered.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.273-285
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• 2021

This study estimates the financial value of return on investment (ROI) of research funds. Four simulation estimations are employed to measure ROI finance value that considers the outputs, outcomes, impacts and total ROI from the allocation input received. Research outputs, outcomes, and impacts can be quantitatively measured based on improvements to existing systems. In terms of input, the Malaysian government has allocated MYR301,350,000 for fundamental research in the 2021 budget compared with 2019, up 9.5 percent from 2019. It brings up the question: To what extent does the input of research funds allocated by the government yield a good return in outputs, outcomes, and impacts to the academic community, society, and country? The result of total ROI shows around MYR7 return is generated by researchers for each Malaysian ringgit channeled by the funder. More specifically, for a research project, it is more difficult to produce impacts and outcomes compared to research outputs. The positive return is evidence that all the allocated funds are beneficial to the stakeholders. The government can apply this approach in calculating ROI for evaluation and fund allocation to universities. Furthermore, the positive financial value of research output, outcome, and impact automatically contribute to a positive innovation environment in Malaysia.