• Proceedings of the Ginseng society Conference
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• 1984.09a
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• pp.215-223
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• 1984

Panax ginseng has often been suggested as a geriatric restorative. This study is a double blind crossover trial to test whether ginseng can improve function in subjects with the depression and reduced abilities associated with senescence. 49 screened subjects were given 1500 mg Korean Red ginseng and identical placebo each for ten days, with a washout period in between the dosages. Standard tests of mental function, neuromuscular reflexes, responsiveness, mood and well being were used. The subjects were somewhat better at the co-ordination and speed test ('number copying') but tests of concentration and memory ('Concentration', 'Paired Association', 'Digit Span' and 'Object Learning') gave equivocal results. There were small improvements in mood and well being ('Life Satisfaction' and 'General Health Questionnaire') while the subjects indicated increased energy, alertness and less sleep, but also less happiness on the daily analogue scales. The major result was a highly significant improvement in reactivity, speed and co-oridnation at the tapping test, and the visual, auditory and disjunctive reaction timer. These are the most objective and accurate tests used in this trial. It is therefore concluded that ginseng can increase function in senile individuals. This effect is most easily visualisable in objective psychophysical tests, rather than the more subjective memory and concentration tests.

• Journal of Korean Clinical Nursing Research
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• v.17 no.2
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• pp.262-274
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• 2011

Purpose: To identify the effects of clinical practicum reinforcement program on nursing student's clinical competency and satisfaction in the ICU. Methods: The study utilized a quasi-experimental pretest-posttest research design. The participant was 76 senior nursing students, who were engaged in two week-long clinical practicum in ICU at the C university hospital in a G city, Korea. The clinical practicum reinforcement program was applied to the experimental group (n=39), while the control group (n=37) was involved in the conventional practicum program. The collected data were analyzed using descriptive analysis, $x^2$/Fisher's exact test, and t-test, ANCOVA with SPSS/WIN 18.0 program. Results: After 2 weeks' clinical practicum, the experimental group showed a statistically significant increase in the clinical performance abilities by self evaluation, when compared to the control group. Clinical instructor's evaluation on the student's clinical performance revealed that the experimental group showed higher level in nursing activity than that of the control group (p<.001). However, there was no significant difference between the two groups in terms of the satisfaction on the clinical practicum program except the learning guidance and the evaluation. Conclusion: The clinical practicum reinforcement program is an effective one for improving the student's clinical competency.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.39-48
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• 2021

The purpose of this study was to identify the degree of grit, resilience, academic self-efficacy, and learning flow of nursing college students in the COVID-19 situation to identify the factors that influence burnout. Data were collected by using questionnaires from 155 students who were in 3rd year of the nursing college in G city, from May 11 to May 25, 2021. Data were analyzed by t-test, ANOVA, Scheffe, Kruskal-Wallis test, Pearson's correlation, and multiple regression. Statistically, burnout showed a significantly negative correlation with grit, resilience and academic self-efficacy. Influencing factors on burnout were resilience, satisfaction of major, academic self-efficacy and satisfaction of clinic practice accounting for 60% of the total change. Based on this study, strategies to enhance resilience, satisfaction of major, academic self-efficacy and satisfaction of clinic practice are required to reduce the burnout of nursing college students in the COVID-19 situation.

• Nano
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• v.13 no.11
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• pp.1850128.1-1850128.10
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• 2018

Glutathione (GSH), the protective agent and reducing agent, has been widely used to prepare gold nanoclusters (GSH-Au NCs) with stable fluorescence properties and negative charge of the surface. Meanwhile, polyethyleneimine (PEI) was used as the modification agent to synthesize magnetic ferroferric oxide nanoparticles ($Fe_3O_4$) with fantastic dispersibility and positive charge of the surface. Based on the electrostatic adsorption force, magnetic nano-$Fe_3O_4@GSH-Au$ NCs core-shell microspheres composed of magnetic $Fe_3O_4$ nanoparticles modified by PEI as the core and GSH-Au NCs as the shell were assembled. The prepared $Fe_3O_4@GSH-Au$ NCs microspheres harbored a uniform size (88.6 nm), high magnetization (29.2 emu/g) and excellent fluorescence. Due to the coordination bond action between Au atom and sulfhydryl (-SH), amino ($-NH_2$), carboxyl (-COOH) in sweat, $Fe_3O_4@GSH-Au$ NCs could combine with latent fingerprints. In addition, $Fe_3O_4@GSH-Au$ NCs with good fluorescence and magnetism could detect fingerprints on various objects. Significantly, the powders were not easy to suspend in the air, which avoided the damage to the health of forensic experts and the fingerprints by only powder contacting. Above all, $Fe_3O_4@GSH-Au$ NCs was successfully applied to the latent fingerprint visualization, which has great potential in forensic science.

• Journal of Korean society of Dental Hygiene
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• v.19 no.3
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• pp.331-342
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• 2019

The purpose of this study is to analyze the clinical dentistry curriculum in Korea and Japan in order to review the application of integrated curriculum in the field. We collected the clinical dentistry syllabi for 2015-16 of the department of dental hygiene of Korea G University and Japan N University. Using the data from Korea, items that were duplicated and integrated were classified by the subjects covered in clinical dentistry. In addition, through case studies conducted in Korea and Japan, we analyzed and compared the credits, class hours, teaching methods, and evaluation methods, by subject. In Korea the total class hours in clinical dentistry, including clinical practice, was 1,095, and in Japan it was 1,104. In Korea, the syllabus covered by each department consisted of about 200 hours centering on theoretical lectures. In Japan, the integrated form of clinical dentistry was taught, and the instructions included all the contents of clinical dental study and also problem-based learning for approximately 100 hours. To strengthen the competence of dental hygienists as professionals, who are actively involved in dental practice, it is necessary to integrate the education contents of segmented clinical dentistry from the perspective of dental hygiene. It is also important to apply teaching methods that can help students improve their ability to solve problems.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.4
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• pp.93-98
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• 2019

On today, optical system are the next generation weapon systems being studied in many countries, starting from USA. One of the most important technologies in optical system is a high-speed automatic target tracking system that can continuously track high-speed moving small targets. This paper designs an automatic target tracking system based on a correlated trekker that is robust against rapid shape changes for fast moving targets and small targets at a distance. The proposed system showed about 98% success rate in response to the targets that are under a complex background such as drone, ranger, etc.

• Journal of Korean Academy of Nursing
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• v.49 no.3
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• pp.317-328
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• 2019

Purpose: The purpose of this study was to identify the effect of ghrelin on memory impairment in a rat model of vascular dementia induced by chronic cerebral hypoperfusion. Methods: Randomized controlled groups and the posttest design were used. We established the representative animal model of vascular dementia caused by bilateral common carotid artery occlusion and administered $80{\mu}g/kg$ ghrelin intraperitoneally for 4 weeks. First, behavioral studies were performed to evaluate spatial memory. Second, we used molecular biology techniques to determine whether ghrelin ameliorates the damage to the structure and function of the white matter and hippocampus, which are crucial to learning and memory. Results: Ghrelin improved the spatial memory impairment in the Y-maze and Morris water maze test. In the white matter, demyelination and atrophy of the corpus callosum were significantly decreased in the ghrelin-treated group. In the hippocampus, ghrelin increased the length of hippocampal microvessels and reduced the microvessels pathology. Further, we confirmed angiogenesis enhancement through the fact that ghrelin treatment increased vascular endothelial growth factor (VEGF)-related protein levels, which are the most powerful mediators of angiogenesis in the hippocampus. Conclusion: We found that ghrelin affected the damaged myelin sheaths and microvessels by increasing angiogenesis, which then led to neuroprotection and improved memory function. We suggest that further studies continue to accumulate evidence of the effect of ghrelin. Further, we believe that the development of therapeutic interventions that increase ghrelin may contribute to memory improvement in patients with vascular dementia.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.7
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• pp.2304-2320
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• 2021

Intelligently detecting anomalies in health sensor data streams (e.g., Electrocardiogram, ECG) can improve the development of E-health industry. The physiological signals of patients are collected through sensors. Timely diagnosis and treatment save medical resources, promote physical health, and reduce complications. However, it is difficult to automatically classify the ECG data, as the features of ECGs are difficult to extract. And the volume of labeled ECG data is limited, which affects the classification performance. In this paper, we propose a Generative Adversarial Network (GAN)-based deep learning framework (called CAB) for heart arrhythmia classification. CAB focuses on improving the detection accuracy based on a small number of labeled samples. It is trained based on the class-imbalance ECG data. Augmenting ECG data by a GAN model eliminates the impact of data scarcity. After data augmentation, CAB classifies the ECG data by using a Bidirectional Long Short Term Memory Recurrent Neural Network (Bi-LSTM). Experiment results show a better performance of CAB compared with state-of-the-art methods. The overall classification accuracy of CAB is 99.71%. The F1-scores of classifying Normal beats (N), Supraventricular ectopic beats (S), Ventricular ectopic beats (V), Fusion beats (F) and Unclassifiable beats (Q) heartbeats are 99.86%, 97.66%, 99.05%, 98.57% and 99.88%, respectively. Unclassifiable beats (Q) heartbeats are 99.86%, 97.66%, 99.05%, 98.57% and 99.88%, respectively.

• Journal of the Korea Society for Simulation
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• v.29 no.4
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• pp.1-7
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• 2020

Early detection and classification of crop diseases play significant role to help farmers to reduce disease spread and to increase agricultural productivity. Recently, many researchers have used deep learning techniques like convolutional neural network (CNN) classifier for crop disease inspection with dataset of crop leaf images (e.g., PlantVillage dataset). These researches present over 90% of classification accuracy for crop diseases, but they have ability to detect only the pre-trained diseases. This paper proposes an efficient disease inspection CNN model for new crops not used in the pre-trained model. First, we present a benchmark crop disease classifier (CDC) for the crops in PlantVillage dataset using VGG16. Then we build a modified crop disease classifier (mCDC) to inspect diseases for untrained crops. The performance evaluation results show that the proposed model outperforms the benchmark classifier.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.571-576
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• 2021

This study was carried out to overcome the problems of the existing fitness business and to build a fitness system that can meet the increased demand in the Corona situation. As a platform technology for non-face-to-face fitness edutainment service, it is a next-generation fitness exercise device that can use various body parts and synchronize network-type information. By synchronizing the exercise information of the fitness equipment, it was composed of learning contents through MR-based avatars. A quantified result was derived from examining the applicability of the customized evaluation system through momentum analysis with A.I analysis applying the LSTM-based algorithm according to the cumulative exercise effect of the user. It is a motion capture and 3D visualization fitness program for the application of systematic exercise techniques through academic experts, and it is judged that it will contribute to the improvement of the user's fitness knowledge and exercise ability.