• Journal of the Korean Applied Science and Technology
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• v.38 no.4
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• pp.1081-1092
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• 2021

The purpose of the study was to examine the effects of the 16-week combined exercise on the blood dopamine concentrations, functional fitness and QOL in patients with parkinson's disease. To this end, 24 persons parkinson's disease in over 60 years old who participated in this study were classified in to the exercise group(n=12) and control group(n=12), and then the exercise group was twice a week for 16-weeks, 70 min per session combined exercise was applied. The test dada were analyzed by two-way repeated measures ANOVA, paired t-test, and independent t-test. The alpha level of .05 of significance. As a result, first, parkinson's disease who regularly participated in the combined exercise significantly increased blood dopamine concentrations(p<.001). Second, parkinson's disease who regularly participated in the combined exercise significantly improved grip strength(p<.001), arm curl(p<.001), stand up and sit down a chair(p<.001), 3m walk and come back(p<.01). Third, parkinson's disease who regularly participated in the combined exercise significantly improved QOL(p<.001). Thus, the combined exercise had the positive effects and may be helpful to increased the blood dopamine concentration and improved functional fitness and QOL.

• The Korean Journal of Archival Studies
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• no.74
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• pp.5-43
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• 2022

This study aims to explore the 'affective value' of records. Traditionally, records have been evaluated as having evidence value, information value, and artificial value. However, the 'affective turn' in the humanities and social sciences, which began in the 1990s, calls for discussion on the affective value of records. The overseas archive academia is in full swing discussing the emotional value of records after the 'affective turn'. However, there is no emotional discussion on records in the domestic archive academia. This study first conducts theoretical discussions to overcome these domestic limitations and explore the emotional value of archives in earnest. Following the theoretical discussion, a specific case will be dealt with next. As a representative storage of affect, which records the pain, sadness, and condolences of the domestic disaster era, this study investigates the record management case of the 4.16 Memory Storage. The Ferry Sewol disaster, which provided a dramatic opportunity to witness the unexpected ripple effect of affect in Korea, and the 4.16 Memory Storage as a recording activity, can be seen as a representative example of affective recording of the pain and sadness of survivors of the trauma incident. It will capture the differentiation of affet recording, which is different from the record management practice, and demonstrate empirically how this differentiation is implemented from collection to evaluation and service through the '4.16 Memory Storage'.

• Journal of the Korean Society of Radiology
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• v.16 no.4
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• pp.411-417
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• 2022

This study aimed to learn and evaluate the effectiveness of VGGNet in the detection of pulmonary emphysema using low-dose chest computed tomography images. In total, 8000 images with normal findings and 3189 images showing pulmonary emphysema were used. Furthermore, 60%, 24%, and 16% of the normal and emphysema data were randomly assigned to training, validation, and test datasets, respectively, in model learning. VGG16 and VGG19 were used for learning, and the accuracy, loss, confusion matrix, precision, recall, specificity, and F1-score were evaluated. The accuracy and loss for pulmonary emphysema detection of the low-dose chest CT test dataset were 92.35% and 0.21% for VGG16 and 95.88% and 0.09% for VGG19, respectively. The precision, recall, and specificity were 91.60%, 98.36%, and 77.08% for VGG16 and 96.55%, 97.39%, and 92.72% for VGG19, respectively. The F1-scores were 94.86% and 96.97% for VGG16 and VGG19, respectively. Through the above evaluation index, VGG19 is judged to be more useful in detecting pulmonary emphysema. The findings of this study would be useful as basic data for the research on pulmonary emphysema detection models using VGGNet and artificial neural networks.

• Journal of Naturopathy
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• v.8 no.2
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• pp.71-77
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• 2019

Purpose: The purpose of this study was to investigate the far-infrared emissivity of patented ocher quilt cotton fabrics and to investigate the microorganisms that survived the washing of cotton fabrics up to 20 times. Methods: A 16S rRNA assay was performed using a far-infrared radiometer and a single colony in which microorganisms grew in nutrient media. Results: The far-infrared emissivity of ocher quilt was 0.902 (90.2%) at 5~20 ㎛ at 40℃, and the radiation energy was 3.63 × 10² w/m². The number of viable cells was 2.0 × 10² cells/ml in ocher duvet cotton fabric, and no viable bacteria found in regular cotton fabric. The base sequence of 16S rRNA of B-2 strain isolated into single colonies was 1,419 bases, and the base sequence of strain A-4 was 1,284 bases. The base sequence of 16S rRNA of these two strains showed high homology with Bacillus spp. The B-2 bacteria showed high homology with 99.0% of the 16S rRNA sequence of B. aryabhattai EF114313 and 99.0% of the A-4 bacteria of B. bingmayongensis AKCS01000011. Consequently the colony strain B-2 finally identified as B. aryabhattai BJ-2 and A-4 as B. bingmayongensis BJ-4 strain. Concusions: Soil Bacillus strains survived in ocher quilt cotton fabric after 20 washing. The material can be useful because quilt cotton fabric emits a large amount of far-infrared and far-infrared radiation energy.

• Mass Spectrometry Letters
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• v.14 no.4
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• pp.153-159
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• 2023

The copper ion, Cu(II), binding sites for amyloid fragment Aβ1-16 (=Aβ16 ) were investigated to explain the biological activity difference in the Aβ16 aggregation process. The [M+Cu+(z-2)H]^z+ (z = 2, 3 and 4, M = Aβ16 monomer) and [D+Cu+(z-2)H]^z+ (z = 3 and 5, D = Aβ16 dimer) structures were investigated using electrospray ionization (ESI) mass spectrometry (MS) and tandem mass spectrometry (MS/MS). Fragment ions of the [M+Cu+(z-2)H]^z+ and [D+Cu+(z-2)H]^z+ complexes were observed using collision-induced dissociation MS/MS. Three different fragmentation patterns (fragment "a", "b", and "y" ion series) were observed in the MS/MS spectrum of the (Aβ16 monomer or dimer-Cu) complex, with the "b" and "y" ion series regularly observed. The "a" ion series was not observed in the MS/MS spectrum of the [M+Cu+2H]⁴⁺ complex. In the non-covalent bond dissociation process, the [D+Cu+3H]⁵⁺ complex separated into three components ([M+Cu+H]³⁺, M³⁺, and M²⁺), and the [M+Cu]²⁺ subunit was not observed. The {M + fragment ion of [M+Cu+H]³⁺} fragmentation pattern was observed during the covalent bond dissociation of the [D+Cu +3H]⁵⁺ complex. The {M + [M+Cu+H]³⁺} complex geometry was assumed to be stable in the [D+Cu+3H]⁵⁺ complex. The {M + fragment ion of [M+Cu]²⁺} fragmentation pattern was also observed in the MS/MS spectrum of the [D+Cu+H]³⁺ complex. The {M + [y₉+Cu]¹⁺} fragment ion was the characteristic fragment ion. The [D+Cu+H]³⁺ and [D+Cu+3H]⁵⁺ complexes were likely to form a monomer-monomer-Cu (M-M-Cu) structure instead of a monomer-Cu-monomer (M-Cu-M) structure.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.2
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• pp.96-109
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• 2024

The purpose of this study is to propose a method for evaluating the similarity of Show gardens using Deep Learning models, specifically VGG-16 and ResNet50. A model for judging the similarity of show gardens based on VGG-16 and ResNet50 models was developed, and was referred to as DRG (Deep Recognition of similarity in show Garden design). An algorithm utilizing GAP and Pearson correlation coefficient was employed to construct the model, and the accuracy of similarity was analyzed by comparing the total number of similar images derived at 1st (Top1), 3rd (Top3), and 5th (Top5) ranks with the original images. The image data used for the DRG model consisted of a total of 278 works from the Le Festival International des Jardins de Chaumont-sur-Loire, 27 works from the Seoul International Garden Show, and 17 works from the Korea Garden Show. Image analysis was conducted using the DRG model for both the same group and different groups, resulting in the establishment of guidelines for assessing show garden similarity. First, overall image similarity analysis was best suited for applying data augmentation techniques based on the ResNet50 model. Second, for image analysis focusing on internal structure and outer form, it was effective to apply a certain size filter (16cm × 16cm) to generate images emphasizing form and then compare similarity using the VGG-16 model. It was suggested that an image size of 448 × 448 pixels and the original image in full color are the optimal settings. Based on these research findings, a quantitative method for assessing show gardens is proposed and it is expected to contribute to the continuous development of garden culture through interdisciplinary research moving forward.

• Bulletin of Food Technology
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• v.16 no.1
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• pp.16-30
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• 2003

• The Korean Publising Journal, Monthly
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• s.134
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• pp.16-16
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• 1993

• The Korean Publising Journal, Monthly
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• s.297
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• pp.16-16
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• 2001

• The Korean Publising Journal, Monthly
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• s.256
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• pp.16-16
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• 1999