• Physical Therapy Rehabilitation Science
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• v.9 no.4
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• pp.318-323
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• 2020

Objective: Reacquisition of motor functions following stroke depends on interhemispheric neural connections. The intervention highlighted in the present case is an insight for augmenting motor recovery by stimulating the lesioned area and adjacent areas governing the motor behaviour of an individual. The purpose of this study was to determine the changes in the motor and cognitive outcomes through multi target stimulation of cortical areas by application of multichannel transcranial direct current stimulation (M-tDCS) in a stroke survivor. Design: A case report. Methods: The patient was a participant of a trial registered with the clinical trial registry of India (CTRI/2020/01/022998). The patient was intervened with M-tDCS over the left primary motor cortex i.e. C3 point and left dorsolateral prefrontal cortex i.e. F3 point with 0.5-2 mA intensity for the period of 20 minutes. SaeboFlex-assisted task-oriented training, functional electrical stimulation over the lower extremity (LE) to elicit dorsiflexion at the ankle and eversion of the foot, and conventional physiotherapy rehabilitation including a tailored exercise program were performed. Outcome assessment was done using the Fugl-Meyer assessment scale (FMA) for the upper and lower extremity (UE and LE), Montreal Cognitive Assessment (MOCA), Wisconsin Gait Scale (WGS) and the Stroke Specific Quality of Life (SSQOL) measures. Assessment was taken at Day 0, 15 and 30 post intervention. Results: Improvement was observed in all the outcome measures i.e FMA (UE and LE), MOCA, SSQOL and WGS across the span of 4 weeks. Conclusions: M-tDCS induced improvement in motor functions of the UE and LE, gait parameters and cognitive functions of the patient.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.119-129
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• 2019

Traditional speech training in acting education focused on the technical aspects of expressing the lines such as finding long/short syllables in the word, exercising articulation of consonants and vowels, and practicing diction etc. There was a limit on this education to transform written words to vivid verbal words. The lines become live when the actor sees the concrete mental images hidden in the words while speaking the lines. I will bring the knowledge of cognitive brain science and NLP(Neural Linguistic Programming) to investigate what mental images are and why mental images are fundamental elements of thought and emotion. In addition to that, I will examine how the muscles of the body react in the process of visualization of delicate mental images (subordinate form) and how to use the responsive muscles to express speaking materials such as intensity, pause, pitch, intonation etc. Conclusion, I will enumerate the obstacles encountered by actors in the course of practicing mental images, and suggest 'activation of breathing' as a thesis of the follow-up paper to eliminate those obstacles. This process, I intend to make mental images to be the concrete and practical information that can be applied to speak the dialogue in the play.

• Journal of Korean Neurosurgical Society
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• v.66 no.1
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• pp.53-62
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• 2023

Objective : Deep learning is a machine learning approach based on artificial neural network training, and object detection algorithm using deep learning is used as the most powerful tool in image analysis. We analyzed and evaluated the diagnostic performance of a deep learning algorithm to identify skull fractures in plain radiographic images and investigated its clinical applicability. Methods : A total of 2026 plain radiographic images of the skull (fracture, 991; normal, 1035) were obtained from 741 patients. The RetinaNet architecture was used as a deep learning model. Precision, recall, and average precision were measured to evaluate the deep learning algorithm's diagnostic performance. Results : In ResNet-152, the average precision for intersection over union (IOU) 0.1, 0.3, and 0.5, were 0.7240, 0.6698, and 0.3687, respectively. When the intersection over union (IOU) and confidence threshold were 0.1, the precision was 0.7292, and the recall was 0.7650. When the IOU threshold was 0.1, and the confidence threshold was 0.6, the true and false rates were 82.9% and 17.1%, respectively. There were significant differences in the true/false and false-positive/false-negative ratios between the anterior-posterior, towne, and both lateral views (p=0.032 and p=0.003). Objects detected in false positives had vascular grooves and suture lines. In false negatives, the detection performance of the diastatic fractures, fractures crossing the suture line, and fractures around the vascular grooves and orbit was poor. Conclusion : The object detection algorithm applied with deep learning is expected to be a valuable tool in diagnosing skull fractures.

• Journal of Korean Neurosurgical Society
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• v.66 no.6
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• pp.632-641
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• 2023

Central nervous system tumors are identified as tumors of the brain and spinal cord. The associated morbidity and mortality of cerebrospinal tumors are disproportionately high compared to other malignancies. While minimally invasive techniques have initiated a revolution in neurosurgery, artificial intelligence (AI) is expediting it. Our study aims to analyze AI's role in the neurosurgical management of cerebrospinal tumors. We conducted a scoping review using the Arksey and O'Malley framework. Upon screening, data extraction and analysis were focused on exploring all potential implications of AI, classification of these implications in the management of cerebrospinal tumors. AI has enhanced the precision of diagnosis of these tumors, enables surgeons to excise the tumor margins completely, thereby reducing the risk of recurrence, and helps to make a more accurate prediction of the patient's prognosis than the conventional methods. AI also offers real-time training to neurosurgeons using virtual and 3D simulation, thereby increasing their confidence and skills during procedures. In addition, robotics is integrated into neurosurgery and identified to increase patient outcomes by making surgery less invasive. AI, including machine learning, is rigorously considered for its applications in the neurosurgical management of cerebrospinal tumors. This field requires further research focused on areas clinically essential in improving the outcome that is also economically feasible for clinical use. The authors suggest that data analysts and neurosurgeons collaborate to explore the full potential of AI.

• International Journal of Computer Science & Network Security
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• v.24 no.5
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• pp.53-63
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• 2024

Alzheimer's disease is a brain disorder that worsens over time and affects millions of people around the world. It leads to a gradual deterioration in memory, thinking ability, and behavioral and social skills until the person loses his ability to adapt to society. Technological progress in medical imaging and the use of artificial intelligence, has provided the possibility of detecting Alzheimer's disease through medical images such as magnetic resonance imaging (MRI). However, Deep learning algorithms, especially convolutional neural networks (CNNs), have shown great success in analyzing medical images for disease diagnosis and classification. Where CNNs can recognize patterns and objects from images, which makes them ideally suited for this study. In this paper, we proposed to compare the performances of Alzheimer's disease detection by using two deep learning methods: You Only Look Once (YOLO), a CNN-enabled object recognition algorithm, and Visual Geometry Group (VGG16) which is a type of deep convolutional neural network primarily used for image classification. We will compare our results using these modern models Instead of using CNN only like the previous research. In addition, the results showed different levels of accuracy for the various versions of YOLO and the VGG16 model. YOLO v5 reached 56.4% accuracy at 50 epochs and 61.5% accuracy at 100 epochs. YOLO v8, which is for classification, reached 84% accuracy overall at 100 epochs. YOLO v9, which is for object detection overall accuracy of 84.6%. The VGG16 model reached 99% accuracy for training after 25 epochs but only 78% accuracy for testing. Hence, the best model overall is YOLO v9, with the highest overall accuracy of 86.1%.

• Journal of Korean Academy of Nursing
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• v.3 no.2
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• pp.121-132
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• 1973

Introduction : Nursing as a profession is gelling wide acceptance today, especially among independent -minded women with necessary physical, mental and academic qualifications. This is particularly true of "comprehensive nursing", which requires to total dedication on the part if the nurse herself-physical, mental and sociocultural. Such comprehensive approach is like-wise called for in the institutional training of professional nurses. Undergraduate nursing courses nowadays place an increasing emphasis on the microscopic approach of training a nurse as an intelligent and well-balanced human being with an optimum degree of cultural sophistication. Greater attention then ever before is now paid to close observation of the individual traits and aptitude of nursing students, so as to permit full development of individual capabilities, interests and propensities within the concept of "comprehensive human education. " Purpose of study 1. To determine the degree of understanding of the part of nursing students of the various aspects of the subject taught in undergraduate nursing course. 2. To determine the motivation of nursing students in choosing the profession and possible subsequent change or attitude and outlook in the course of under graduated studies, as a means of presenting a new practical approach in nursing training based on the concept of "comprehensive human education. " Problems of study 1. The environments of nursing training will impinge on individual nursing students with different psychological impacts from lower to upper classes of under graduated studies. 2. Educational environments will have varying psychological impacts on students: a. Difference in religious faith among students. b. Difference in campus environments. c. Difference in domestic (family) circumstances. d. Difference in innate capabilities of students, 3. The understanding and attitude of individual nursing students towards the science of nursing will Have a close correlation with their respective motivations in choosing-nursing as a profession, and will also be closely influenced by the peculiarities of the subject taught, tile campus environments, etc, Delimitations of the study 1. Two universities offering 4-year nursing courses were selected. Due to the limited number of potential subjects, the optimum conditions of sample collection could not be fulfilled. 2. Subjects were confined to two classes in each university (sophomores and seniors) but without regard to the ages or scholastic achievements of individual students. 3. The conclusions derived from this study should be limited in application to the subject groups covered by the present study: they should not in any event be extended or applied to other groups. Procedures 1. Subjects: 40 nursing students each from the sophomore and senior classes of the "Y" and "K" universities situated in Seoul, aggregating 160 students altogether. 2. Instruments: Use has been made of questionnaires on (1) family backgrounds and (2) general information concerning. 3. Statistical Method: The findings of the present survey have been subjected to critical analysis as to the means, percentages, Cgi squares (X), standard deviations and the significance of the difference in means. Findings 1. Nursing students have chosen their subject of study with a confident outlook towards their future in society. 2. Horsing students have the necessary abilities to complete the prescribed courses of study. 3. The campus life of nursing students has been judged as very constructive, not with-standing certain in adequacies in the available educational facilities and the shortages of teaching staff. 4. The achievement levels of nursing trainees varied greatly according to their respective educational environments as well as their school years. 5. Clear and definite distinctions were discernible between the two universities as regards certain aspects of this survey, while no signifiant difference was observed in other: a. Sophomores and seniors in both universities gave nearly identical answers to questions concerning (1) motivation in choosing nursing as a profession, and (2) the way of spending leisure hours. b. Both universities revealed similar respective differences between sophomores and seniors as regards the abilities of fulfilling academic requirements ill the basic subjects. c. Educational environments have been found to be somewhat superior in the "Y"university to those of the "K" university, particularly as regard general campus and dormitory conditions. d. The high degree of dissatisfaction with the faculty, found in both universities, was considered to be a consequence of the universal phenomenon of "brain drain" and the relative neglect of the "comprehensive approach"in education.

• Journal of Life Science
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• v.20 no.3
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• pp.444-452
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• 2010

The purpose of this study was to investigate the effects of treadmill exercise on $A{\beta}$-42, cytochrome c, SOD-1, 2 and Sirt-3 protein expressions in brain cytosol and mitochondria in mutant (N141I) presenilin-2 transgenic mice with Alzheimer's disease (AD). The mice were divided into four groups (Non-Tg-sedentary, n=5; Non-Tg treadmill exercise, n=5; Tg-sedentary, n=5; Tg treadmill exercise, n=5). To evaluate the neuroprotective effect of treadmill exercise, Non-Tg and Tg mice were subjected to exercise training on a treadmill for 12 wk, after which their brain cytosol and mitochondria were evaluated to determine whether any changes in the cognitive performance, $A{\beta}$-42 protein, cytochrome c protein, anti-oxidant enzymes (SOD-1, SOD-2) and Sirt-3 protein had occurred. The results indicated that treadmill exercise resulted in amelioration in cognitive deficits of Tg mice. In addition, the expressions of mitochondrial $A{\beta}$-42 and cytosolic cytochrome c protein were decreased in the brains of Tg mice after treadmill exercise, whereas antioxidant enzymes, SOD-l and SOD-2 were significantly increased in response to treadmill exercise. Furthermore, treadmill exercise significantly increased the expression of Sirt-3 protein in Non-Tg and Tg mice. Taken together, these results suggest that treadmill exercise is a simple behavioral intervention which can sufficiently improve cognitive performance and inhibit $A{\beta}$-induced oxidative stress in AD.

• Sleep Medicine and Psychophysiology
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• v.26 no.1
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• pp.44-48
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• 2019

Objectives: Insomnia is one of the most prevalent sleep disorders. Recent studies suggest that cognitive and physical arousal play an important role in the generation of primary insomnia. Studies have also shown that information processing disorders due to cortical hyperactivity might interfere with normal sleep onset and sleep continuity. Therefore, focusing on central nervous system arousal and normalizing the information process have become current topics of interest. It has been well known that neurofeedback can reduce the brain hyperarousal by modulating patients' brain waves during a sequence of behavior therapy. The purpose of this study was to investigate effects of neurofeedback therapy on electroencephalography (EEG) characteristics in patients with primary insomnia. Methods: Thirteen subjects who met the criteria for an insomnia diagnosis and 14 control subjects who were matched on sex and age were included. Neurofeedback and sham treatments were performed in a random order for 30 minutes, respectively. EEG spectral power analyses were performed to quantify effects of the neurofeedback therapy on brain wave forms. Results: In patients with primary insomnia, relative spectral theta and sigma power during a therapeutic neurofeedback session were significantly lower than during a sham session ($13.9{\pm}2.6$ vs. $12.2{\pm}3.8$ and $3.6{\pm}0.9$ vs. $3.2{\pm}1.0$ in %, respectively; p < 0.05). There were no statistically significant changes in other EEG spectral bands. Conclusion: For the first time in Korea, EEG spectral power in the theta band was found to increase when a neurofeedback session was applied to patients with insomnia. This outcome might provide some insight into new interventions for improving sleep onset. However, the treatment response of insomniacs was not precisely evaluated due to limitations of the current pilot study, which requires follow-up studies with larger samples in the future.

• Therapeutic Science for Rehabilitation
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• v.5 no.1
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• pp.77-87
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• 2016

Objective : The purpose of this study is to investigate the impact of task-oriented approach based on upper limb coordinated movement on the ability of the Korean handwriting in children with developmental coordination disorder(DCD). Methods/Design : This randomized controlled trial designed as a pre-/post- test will compare the effectiveness of task-oriented approach and process-oriented approach on handwriting performance for children with DCD aged 5 to 10. These interventions consist of 10 training sessions and 4 assessment sessions over 7weeks. Children will be measured regard to handwriting legibility, speed and pre-handwriting skills including upper limb movement skills, visual perception and visual motor coordination. Conclusion : This is the first attempt to investigate effects of a task-oriented approach in children with DCD. The significance of this study is to provide the clinical evidences to apply the task-oriented approach improves the children's handwriting performance. Furthermore it will also present a more effective intervention for handwriting by figuring out each approach's impact on the improvement of pre-handwriting skills.

• Korean Security Journal
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• no.25
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• pp.109-130
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• 2010

As many countries in the world including the Republic of Korea have used all their national resources in the accelerating economic information warfare, illegal leakage of industrial technologies and information has increased rapidly. The costs required for damage prevention from 2007 to 2008 are estimated at approximately KRW 180 trillion which is expected to increase gradually in future. Because the tricks of leaking key technologies are also getting increasingly systematized, sophisticated and bigger, e.g., simple theft at the individual level or the conspiracy of all the staff taking part in the research activities, we should pay special attention to technology security in addition to technology development. While there are several factors affecting such the brain drain, they usually include personal, social, political and cultural factors, for instance, very heavy educational expenditure of children compared to relatively low pay, the speedy labor market circulation for experienced personnel, or political restrictions on researches. In this context, as part of efforts made to prevent the outflow of core personnel, individual companies and research institutes should establish systematically appropriate core personnel management systems for their own organizational or business goals and principles which are intented to ensure to give better treatment and benefit to core personnel and to exercise closer supervision over them. Furthermore, the conventional personnel management system should be radically and flexibly improved in the manner of encouraging the core personnel returning to the organization to combine their external experiences with practices, instead of penalizing them. At the same time, it is necessary to train and educate core personnel through mutual collaboration and in-house training facilities as well as external academic programs operated jointly at the level of the industry. Finally, as the issues concerning the outflow of core personnel are not just problems of relevant companies and other advanced countries have devoted their best efforts to secure their own key technologies at the national level, it is urgent for the industry and the competent authorities to cooperate closely.