• Journal of Korean Neurosurgical Society
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• v.38 no.2
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• pp.121-125
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• 2005

Objective : Many recent reports have shown that the mature mammalian brain harbors multipotent stem cells, rendering the brain capable of generating new neurons and glia throughout life. Harvested stem cells from an adult rat are transplanted in order to evaluate the cell survival and differentiation. Methods : Using a percoll gradient with a high speed centrifugation method, we isolate neural stem/progenitor cells were isolated from the subventricular zone[SVZ] of a syngeneic adult Fisher 344 rats brain. For 14days expansion, the cultured cells comprised of a heterogeneous population with the majority of cells expressing nestin and/or GFAP. After expanding the SVZ cells in the presence of basic fibroblast growth factor-2, and transplanting then into the hippocampus of normal rats, the survival and differentiation of those cells were examined. For transplantation, the cultured cells were labeled with BrdU two days prior to use. In order to test their survival, the cells were transplanted into the dorsal hippocampus of normal adult Fisher 344 rats. Results : The preliminary data showed that at 7days after transplantation, BrdU+ transplanted cells were observed around the injection deposition sites. Immuno-fluorescent microscopy revealed that the cells co-expressed BrdU+ and neuronal marker ${\beta}$-tubulin III. Conclusion : The data demonstrate that the in vitro expanded SVZ cells can survive in a heterotypic environment and develop a neuronal phenotype in the neurogenic region. However more research will be needed to examine the longer survival time points and quantifying the differentiation in the transplanted cells in an injured brain environment.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.89-96
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• 2021

This work is an extension of my work presented a robust and economically efficient method for the Discrimination of four Mung-Beans [1] varieties based on quantitative parameters. Due to the advancement of technology, users try to find the solutions to their daily life problems using smartphones but still for computing power and memory. Hence, there is a need to find the best classifier to classify the Mung-Beans using already suggested features in previous work with minimum memory requirements and computational power. To achieve this study's goal, we take the experiments on various supervised classifiers with simple architecture and calculations and give the robust performance on the most relevant 10 suggested features selected by Fisher Co-efficient, Probability of Error, Mutual Information, and wavelet features. After the analysis, we replace the Artificial Neural Network and Deep learning with a classifier that gives approximately the same classification results as the above classifier but is efficient in terms of resources and time complexity. This classifier is easily implemented in the smartphone environment.

• The Korean Journal of Emergency Medical Services
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• v.27 no.1
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• pp.127-137
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• 2023

Purpose: This study aimed to analyze the treatment outcomes according to the socioeconomic factor of patients who visited the emergency room. Methods: This study conducted frequency analysis, percentage analysis, and Fisher's exact test analysis method, using the R 4.1.2 program based on the 2019 data from the Korea Health Panel. Results: Among the treatment results of 1,648 patients, 392 patients were hospitalized or transferred to other hospitals, 845 were discharged after treatment, 224 were discharged, and 7 died. The Fisher's exact test of treatment outcomes and socioeconomic factors was not statistically significant for status of the worker and employment relationship, but was significant for the housing, household, economic activity, and insurance types, and marital status and education. Conclusion: The results of this study indicate that it is necessary to conduct follow up studies on socioeconomic factors to provide basic data that can contribute to fairness and equity in the health care field.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.6
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• pp.792-798
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• 2007

In this paper, we propose a hierarchical fuzzy-rough classification method based on statistical information for maximizing the performance of pattern classification and reducing the number of rules without learning approaches such as neural network, genetic algorithm. In the proposed method, statistical information is used for extracting the partition intervals of antecedent fuzzy sets at each layer on hierarchical fuzzy-rough classification systems and rough sets are used for minimizing the number of fuzzy if-then rules which are associated with the partition intervals extracted by statistical information. To show the effectiveness of the proposed method, we compared the classification results(e.g. the classification accuracy and the number of rules) of the proposed with those of the conventional methods on the Fisher's IRIS data. From the experimental results, we can confirm the fact that the proposed method considers only statistical information of the given data is similar to the classification performance of the conventional methods.

• Research in Community and Public Health Nursing
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• v.31 no.3
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• pp.337-347
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• 2020

Purpose: The purpose of this study was to construct the education applying Havruta's method for nursing students and to examine its effect on the communication competency, critical thinking competency, and self-leadership. Methods: A non-equivalent control group pretest-posttest design was used. The participants were 138 nursing students at two universities. The experimental group (n=70) received the education applying Havruta's method for six weeks. The study was carried out from September 23 to November 8, 2019. Data were analyzed using IBM SPSS/WIN 22.0 for the 𝑥² test, Fisher's exact test, and independent t-test. Results: The experimental group had a significant increase in communication competency (t=2.44, p=.016). However, there was no significant difference in critical thinking competency (t=1.85, p=.067), and self-leadership (t=1.78, p=.077) between the two groups. Conclusion: The education applying Havruta's method is an effective nursing education for communication competency. The result of this study could be a guide for nursing professors at the nursing education field when developing education programs that apply Habruta's method. Based on these results, future studies should be conducted to apply Habruta's teaching method to various nursing majors.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.37
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• pp.41-51
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• 1996

This paper evaluates the clustering performance of a neural network and a statistical method. Algorithms which are used in this paper are the GLVQ(Generalized Learning vector Quantization) for a neural method and the k-means algorithm fer a statistical clustering method. For comparison of two methods, we calculate the Rand's c statistics. As a result, the mean of c value obtained with the GLVQ is higher than that obtained with the k-means algorithm, while standard deviation of c value is lower. Experimental data sets were the Fisher's IRIS data and patterns extracted from handwritten numerals.

• The Journal of the Convergence on Culture Technology
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• v.4 no.2
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• pp.171-178
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• 2018

The study was done to analyze the effects of aroma inhalation method on preoperative anxiety of upper and lower surgical patients. The research design was a nonequivalent control group non-synchronized design. The subjects were a total 60 patients of each group 30 patients that were operated on under general anesthesia for upper and lower limbs surgery. The tool of the Amsterdam preoperative anxiety information scale(APAIS), systolic and diastolic blood pressure, and pulse rate levels was measured the day before surgery. The data were analyzed by the $x^2$ test Fisher's exact test, paird t-test, and the independent t-test using SPSS 20.0. Study result indicated that Lavender aroma therapy had the effect on reduction of anxiety before surgery and reduction of blood pressure, and pulse rate levels. Therefore, the study result could be used as a scientifical data that can be applied to the nursing interventions that use the aroma inhalation method and contributing to development of the holistic nursing care.

• Journal of Korean Society for Quality Management
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• v.14 no.2
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• pp.15-20
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• 1986

Using Fisher's method of combining two independent test statistics, we suggest a test for comparing two exponential populations with location and scale parameters and prove that it is asymptotically optimal in the sense of Bahadur efficiency.

• Bulletin of the Korean Chemical Society
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• v.7 no.6
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• pp.438-442
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• 1986

A number of Korean potsherd samples has been classified by Fisher's discriminant method for the training set of Kyungki, Koryung and Kyungnam groups. The Koryung samples have been further classified for the training set of Koryung A, B and C subgroups. The training sets have been used to define classification of unknown samples and clay samples so as to find out some similarity between clay samples and certain potsherd groups.

• Bulletin of the Korean Chemical Society
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• v.7 no.5
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• pp.347-353
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• 1986

Fisher's discriminant method has been applied to the problem of the classification of Korean potsherds, using their elemental composition as analyzed by neutron activation analysis. A combination of analytical data by means of statistical linear discriminant analysis has resulted in removal of redundant variables, optimal linear combination of meaningful variables and formulation of classification rules.