• Journal of the Korean Data and Information Science Society
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• v.18 no.3
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• pp.721-733
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• 2007

The purpose of this research was to determine the effects of the functional lateralization of the brain variables related to the sex, the scientific attitude and the scientific exploration skills. The science instruction is divided in each type of the lecturing class with the experiment class. As for the degree of SMR brainwave activation in each stage are presented while accumulating the brain waves from the right, left and the whole brain waves are analyzed during the science learning activities. It is therefore reasonable to consider the science instruction types and brain lateralization to enhance the science learning effectiveness. Sensorimotor rhythm brainwave as the low Beta is represented well to show the thought process. Category quantification scores and objective scores are calculated to show the visual positioning map for the relationships of the categories by homogeneity analysis.

• Brain Tumor Research and Treatment
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• v.6 no.2
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• pp.92-96
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• 2018

A 59-year-old patient with a history of hepatocellular carcinoma presented with decreased consciousness and left hemiparesis. A rim-enhanced mass lesion without diffusion restriction was observed in contrast-enhanced MRI including diffusion-weighted imaging. Based on these findings, metastatic brain tumor was suspected. However, brain abscess (BA) was diagnosed after multiple bacterial colonies were observed in aspiration biopsy. Initial conventional antibiotic treatment including vancomycin had failed, so linezolid was used as second-line therapy. As a result, infection signs and clinical symptoms were resolved. We report a case with atypical imaging features and antibiotic susceptibility of a BA in an immunocompromised patient undergoing chemotherapy.

• Journal of Computing Science and Engineering
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• v.7 no.2
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• pp.112-121
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• 2013

The last years have seen a rise of interest in using electroencephalography-based brain computer interfacing methodology for investigating non-medical questions, beyond the purpose of communication and control. One of these novel applications is to examine how signal quality is being processed neurally, which is of particular interest for industry, besides providing neuroscientific insights. As for most behavioral experiments in the neurosciences, the assessment of a given stimulus by a subject is required. Based on an EEG study on speech quality of phonemes, we will first discuss the information contained in the neural correlate of this judgement. Typically, this is done by analyzing the data along behavioral responses/labels. However, participants in such complex experiments often guess at the threshold of perception. This leads to labels that are only partly correct, and oftentimes random, which is a problematic scenario for using supervised learning. Therefore, we propose a novel supervised-unsupervised learning scheme, which aims to differentiate true labels from random ones in a data-driven way. We show that this approach provides a more crisp view of the brain states that experimenters are looking for, besides discovering additional brain states to which the classical analysis is blind.

• International journal of advanced smart convergence
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• v.6 no.2
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• pp.9-15
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• 2017

According to a recent survey, most elementary and secondary school students nationwide are stressed out by their academic records. Furthermore most of high school students in Korea have to study under the great duress. Some of them who can't overcome the academic stress finalize their life by suiciding. A study has found that it is one of the leading causes of stimulating the thought of committing suicide in Korean high school students. So it is necessary to reduce the high school student's suicide rate. Main content of this research is to implement a personalized music recommendation system. Music therapy can help the student deal with the stress, anxiety and depression problems. Proposed system works as a therapist. The music choice and duration of the music is adjusted based on the student's current emotion recognized automatically from EEG. If the happy emotion is not induced by the current music, the system would automatically switch to another one until he or she feel happy. Proposed system is personalized brain music treatment that is making a brain training application running on smart phone or pad. That overcomes the critical problems of time and space constraints of existing brain training program. By using this brain training program, student can manage the stress easily without the help of expert.

• Molecules and Cells
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• v.45 no.2
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• pp.84-92
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• 2022

To understand the microcircuitry of the brain, the anatomical and functional connectivity among neurons must be resolved. One of the technical hurdles to achieving this goal is that the anatomical connections, or synapses, are often smaller than the diffraction limit of light and thus are difficult to resolve by conventional microscopy, while the microcircuitry of the brain is on the scale of 1 mm or larger. To date, the gold standard method for microcircuit reconstruction has been electron microscopy (EM). However, despite its rapid development, EM has clear shortcomings as a method for microcircuit reconstruction. The greatest weakness of this method is arguably its incompatibility with functional and molecular analysis. Fluorescence microscopy, on the other hand, is readily compatible with numerous physiological and molecular analyses. We believe that recent advances in various fluorescence microscopy techniques offer a new possibility for reliable synapse detection in large volumes of neural circuits. In this minireview, we summarize recent advances in fluorescence-based microcircuit reconstruction. In the same vein as these studies, we introduce our recent efforts to analyze the long-range connectivity among brain areas and the subcellular distribution of synapses of interest in relatively large volumes of cortical tissue with array tomography and superresolution microscopy.

• Journal of Korean Elementary Science Education
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• v.37 no.3
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• pp.233-253
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• 2018

Since open inquiry of science was formally introduced at the 2007 Revised Science Curriculum Course, the purpose and effect of it has been positively evaluated, and it is underlined continuously until the revised science education course in 2015. However, through many previous studies, there is still a lack of awareness of open inquiry of both students and teachers in the field, and it was revealed they are continually appealing confusion and difficulties. Therefore, in this research, we analyzed the causes that make it difficult to execute open inquiry, and developed differentiated open inquiry guide materials that can contribute to the realization of teachers and students. They were developed by the brain-based evolutionary approach to provide students with authentic science. The brain-based evolutionary approach is reflecting the evolutionary attributes and the brain functions associated activities of scientists. It was revealed that, in the same way as the pilot test results, the usefulness of the differentiated guide materials were very high, and there was a statistically significant difference in the science attitude. It was found that the application of the brain-based evolutionary approach had positively influenced the stage of determining the inquiry themes, and self-confidence that could be able to do as a scientist. Analysis of top and sub group types on the basis of inquiry ability showed that both groups are improved at science attitude by the differentiated guide materials. There was a positive effect on change in the self-perception of scientific creativity. We were able to see a positive change in the post survey for open inquiry-efficacy. The developed differentiated open inquiry guide materials contributed to the improvement of open inquiry-efficacy for both the teacher and student.

• Journal of The Korean Society of Integrative Medicine
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• v.8 no.4
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• pp.277-289
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• 2020

Purpose : This study aims to confirm the clinical usefulness of computerized cognitive therapy program for patients with brain diseases in Korea and to present basic data that can confirm the effectiveness of computerized cognitive therapy program to experts related to rehabilitation in the future. Methods : A systematic review and meta-analysis research method was used to confirm the clinical effectiveness of computerized cognitive therapy applied to patients with brain diseases in Korea. Based on the national institute of health and medical colleges association (NECA) systematic literature manual and preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines for conducting research through systematic review and meta-analysis methods. Systematic review was PICOST-SD was used to research and select papers. For meta-analysis, the data was input and analyzed separately by literature result using the revman manager 5.3 program and the results were presented visually through tables and forest, funnel plot figure. Results : As a result of comprehensive analysis of the contents of the finally selected literature, it as found that studies on stroke and dementia were mainly conducted. In addition, through the evaluation of the quality of the literature, most of the existing computerized cognitive therapy studies were identified as high-quality studies, but the results were insufficient for randomization and blinding. And through meta-analysis, the clinical effectiveness of computerized cognitive therapy on cognitive function, activities of daily living, and visual perception function of patients with brain disease was found. Conclusion : The research literature that applied computerized cognitive therapy to brain disease subjects was comprehensively analyzed and identified. It is thought that this could be used as basic data on the characteristics of cognitive therapy that should be applied to patients with brain diseases in the future and the usefulness of computerized cognitive therapy program in actual clinical practice.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.3
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• pp.695-701
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• 2008

This study has been made to research on the brain wave characteristics of baduk expert by BCI(Brain Computer Interface). The test was based on the researches from 1th September, 2005 to 30th December, 2005, compared with the ones of the standardized general public. The number of the general public are 695 (elementary school students 423, middle and high school students 161, adults 111) and the number of the baduk players are 57 (researchstudents 15, Korean baduk club students 16, professional baduk players 26). The research data show that the baduk players have the higher indexes than the general public in Self Regulation quotient p=.002, Attention Quotient(left) p=.002, Emotion Quotient p=.027, Stress Quotient(left) p=.002 and Brain Quotient p=.006. There are some differences in brain functions between baduk players and the ordinary people. Difference in functions of the brain among baduk experts is also analyzed. That result shows that there is no different brain function between professional baduk player.

• Journal of Korean Neurosurgical Society
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• v.38 no.4
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• pp.269-272
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• 2005

Objective : The object of this study is to present the treatment experience of the 6cases of scalp arteriovenous malformations[AVMs] focus on treatment strategy. Methods : Six patients with scalp AVM were treated during past 12years. We analysis the clinical characteristics of the lesions, treatment methods and management outcomes. Results : The lesions were located on temporal in 2patients, parietal in 2patients, frontal and occipital area in each one. Four of six patients had a trauma history on scalp. The presenting symptoms were progressive enlarged pulsating mass with or without bruit. Four of the six lesions had the large fistula in the lesion. Two patients were treated with surgical resection alone, three patients with proximal feeding artery balloon[s] occlusion followed by surgical resection, and one patient with coil embolization through trans-venous route alone. We obtained good results in all patients. Conclusion : Most of scalp AVM can be completely cured by Judicious selection and a combination of treatment modalities, i.e., surgery only, or embolization only, or embolization plus surgical therapy. Although embolization became a primary therapy for this sort of scalp AVM recently, the selection of treatment modality should be chose based on the size, angioarchitecture, and clinical presentations of the lesion.

• Korean Journal of Artificial Intelligence
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• v.12 no.1
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• pp.1-6
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• 2024

Recently, various techniques are being applied through the development of medical AI, and research has been conducted on the application of super-resolution AI models. In this study, evaluate the results of the application of the super-resolution AI model to brain CT as the basic data for future research. Acquiring CT images of the brain, algorithm for brain and bone windowing setting, and the resolution was downscaled to 5 types resolution image based on the original resolution image, and then upscaled to resolution to create an LR image and used for network input with the original imaging. The SRCNN model was applied to each of these images and analyzed using PSNR, SSIM, Loss. As a result of quantitative index analysis, the results were the best at 256×256, the brain and bone window setting PSNR were the same at 33.72, 35.2, and SSIM at 0.98 respectively, and the loss was 0.0004 and 0.0003, respectively, showing relatively excellent performance in the bone window setting CT image. The possibility of future studies aimed image quality and exposure dose is confirmed, and additional studies that need to be verified are also presented, which can be used as basic data for the above studies.