A quasi-experiment, repeated measures design with non-equivalent control group was used to test the influence of cold therapy on the perineal discomfort and the healing state of the postpartum women undergoing vaginal delivery with episiotomy. Experiment was carried out from July 28, through October 2, 1996 with 40 postpartum women conveniently sampled from one university hospital located in Seoul. The 40 postpartum women undergoing vaginal delivery with episiotomy were as signed to experimental and control groups evenly(20 each). The instrument of measurement of perineal discomfort was 0-10 rating scale that was made by researcher and that of perineal healing state was Davidson's REEDA tool. The perineal discomfort and the healing state level were measured before and after each treatment. The treatment using ice glove that was given for the only experimental group was carried out at three points ; as soon as returning to the recovery room, 3 hours after returning to the recovery room and 6 hours after returning to the recovery room. The data was analysed by using t-test, chi-square test to determine the similarity between experimental and control groups. The hypotheses were tested using repeated measures ANOVA. The results of this study are summarized as follows; 1. The first hypothesis that the perineal discomfort level of the experimental group will be significantly lower than that of the control group(df(1,38), F=24.12, p=.0001) was supported. 2. The second hypothesis that the perineal healing state of the experimental group wil be better than that of the control group(df(1,38), F=0.48, p=.49) was not supported. Based on the results of this study, could therapy was turned out to have significant effect on the perineal discomfort of the postpartum women undergoing vaginal delivery with episiotomy.
Journal of the Korean Applied Science and Technology
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v.36
no.1
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pp.258-268
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2019
The extracts of AS contain in alloxanthin, halocynthiaxanthin, astaxanthin and 13 kinds of carotenoids. The aim of the study was to assess the anti-oxidant activity and cell viability of AS. The anti-oxidant activity was determined by using DPPH radical inhibition activity and superoxide dismutase (SOD)-like activity. The results of cell viability assay showed that the extracts from AS were cytotoxic at concentrations above $5.0mg/m{\ell}$. This study was designed to examine inflammation induced by LPS, protection effect by UVB and the toxicity of Ascidian shell extract(ASE) as a functional cosmetic ingredient. Evaluation of embryo toxicity resulted in embryo coagulation and mortality when treated at 5.0, 10.0, $20.0mg/m{\ell}$. At the lowest concentration of $1.0mg/m{\ell}$, hatchability resulted in 100.0 % rate. The results of arrhythmia measurement in larvae showed similarity to the evaluation of embryo toxicity. This result demonstrated that toxicity is present at concentrations greater than $5.0mg/m{\ell}$. The protective effect of ASE on LPS and UVB-induced in the zebrafish was investigated. Intracellular reactive oxygen species(ROS) generated by the exposure of zebrafish to LPS, UVB-radiation were significantly decreased after treatment with ASE at $0.1mg/m{\ell}$. As a result, ASE similarly reduced UVB-induced ROS generation and cell death in live zebrafsih. Therefore, it is suggested that ASE has anti-Inflammatory effects and can possibly be used as a functional substance for skin protection in the future.
Purpose - This paper empirically investigates the competition effect of exports between Korea and China in their common-export markets considering market sophistication. Modern market sophistication includes an importing country's aggregate demand for products of high quality, design, novelty, eco-friendliness, and even IPR protection. Using an empirical analysis to identify the demand for product quality across countries, this paper estimates the effects of market sophistication on the competition between Korean exports and Chinese products. Design/Methodology - Our empirical model considers the relationship between an importing country's consumer sophistication and the export competition between Korea and China. This study employs the existing theoretical framework to identify the aggregate demand for product quality across countries. Using a quite direct measurement (the consumer sophistication index, our analysis investigates the differential effects of Korea's export market sophistication, particularly in markets where Korean exports are in competition with similar Chinese products. Findings - Our main findings can be summarized as follows: the negative effects of the export competition between Korea and China on Korea's exports are stronger in third markets where consumers are less sophisticated while the effects are not as pronounced in markets where consumers are more sophisticated. This result, however, best applies to differentiated goods which significantly vary in product quality. Originality/value - Existing studies focus on the supply side of production and make the assumption that the market preference for export quality is identical across countries. This paper attempts to evaluate the export competition between Korea and China from the demand-side perspective. This area of trade studies is underexplored both empirically and in theory, although the issue has long been important to Korean and world trade.
Jeong-Hyun, Kim;Cheol-Min, Seok;Min-Ju, Kim;Su-Yeon, Kim
Journal of Korea Society of Industrial Information Systems
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v.27
no.6
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pp.1-12
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2022
As the music streaming service and the Hi-Fi market grow, various audio devices are being released. As a result, consumers have a wider range of product choices, but it has become more difficult to find products that match their musical tastes. In this study, we proposed a system that extracts the vocal component from the user's preferred sound source and recommends the most suitable audio device to the user based on this information. To achieve this, first, the original sound source was separated using Python's Spleeter Library, the vocal sound source was extracted, and the result of collecting frequency band data of manufacturers' audio devices was shown in a grid graph. The Matching Gap Index (MGI) was proposed as an indicator for comparing the frequency band of the extracted vocal sound source and the measurement data of the frequency band of the audio devices. Based on the calculated MGI value, the audio device with the highest similarity with the user's preference is recommended. The recommendation results were verified using equalizer data for each genre provided by sound professional companies.
Osteoporosis is a disease in which the risk of bone fractures increases due to a decrease in bone density caused by aging. Osteoporosis is diagnosed by measuring bone density in the total hip, femoral neck, and lumbar spine. To accurately measure bone density in the lumbar spine, the vertebral region must be segmented from the lumbar X-ray image. Deep learning-based automatic spinal segmentation methods can provide fast and precise information about the vertebral region. In this study, we used 695 lumbar spine images as training and test datasets for a deep learning segmentation model. We proposed a lumbar automatic segmentation model, CM-Net, which combines the center point of the spine and the modified U-Net network. As a result, the average Dice Similarity Coefficient(DSC) was 0.974, precision was 0.916, recall was 0.906, accuracy was 0.998, and Area under the Precision-Recall Curve (AUPRC) was 0.912. This study demonstrates a high-performance automatic segmentation model for lumbar X-ray images, which overcomes noise such as spinal fractures and implants. Furthermore, we can perform accurate measurement of bone density on lumbar X-ray images using an automatic segmentation methodology for the spine, which can prevent the risk of compression fractures at an early stage and improve the accuracy and efficiency of osteoporosis diagnosis.
Purpose: Recently, research has continued to predict the time of failure of the facility through measurement data obtained by attaching a sensor to the facility. However, depending on the facility, it may be difficult to attach a sensor. The purpose of this study is to propose a power generation maintenance plan system based on failure record data obtained from Continuous Ship Unloader, one of the facilities that is difficult to attach sensors. Methods: This study uses data collected from 2012 to 2022 from the 'CSU-1B' model among Continuous Ship Unloader operated by Korea Midland Power Co., LTD. By fitting fault record data to the Weibull distribution, appropriate maintenance cycles and ranges for each target facility subsystem are derived. In addition, maintenance group between subsystems is selected through Euclidean distance, a metric often used for time series data similarity. Through this, a system for establishing an maintenance plan for power generation facilities is proposed. Results: The results of this study are as follows. For the 17 subsystems of the Continuous Ship Unloader, proper maintenance cycles and ranges were determined, and a total of four maintenance groups were chosen. This resulted in the creation of an power generation maintenance plan system and the establishment of an maintenance plan. Conclusion: This study is a case study of power generation facilities. We proposed a maintenance plan system for Continuous Ship Unloader among power generation facilities.
In this paper, we proposed a new audio fingerprint extraction method, based on Philips' music retrieval algorithm, which uses the energy difference of neighboring filter-bank and probabilistic characteristics of music. Since Philips method uses too many filter-banks in limited frequency band, it may cause audio fingerprints to be highly sensitive to additive noises and to have too high correlation between neighboring bands. The proposed method improves robustness to noises by reducing the number of filter-banks while it maintains the discriminative power by representing the energy difference of bands with 2 bits where the quantization levels are determined by probabilistic characteristics. The correlation which exists among 4 different levels in 2 bits is not only utilized in similarity measurement. but also in efficient reduction of searching area. Experiments show that the proposed method is not only more robust to various environmental noises (street, department, car, office, and restaurant), but also takes less time for database search than Philips in the case where music is highly degraded.
Purpose : This study is designed to compare two parameters reflecting $^{18}F$-FDG uptake, SUV and radioactivity, for diagnosis of thyroid cancer in dual time $^{18}F$-FDG PET/CT imaging and to find which parameter is more useful to decide whether the tumor is malignant or not. Materials and Methods : We performed retrospective study for 40 patients. All patients are diagnosed as primary thyroid cancer and examined $^{18}F$-FDG PET/CT. First, we got the dispersion of scattering beam of neck and lung apex to set a background and compared each dispersion, mean value, standard deviation of maxSUV and radioactivity. Also, mean maxSUV, ${\Delta}maxSUV$, ${\Delta}maxBq$/ml(%) and radioactivity between groups according to lesion's size based on biopsy are compared with independent-sample t-test. Results : the values that were from maxSUV and radioactivity measurement technique were compensated and calculated to practical values for mean comparison and patients were divided to two groups based on tumor size, Group1 ($size{\leq}1$ cm, n=21), Group2 (size>1 cm, n=19) for accurate comparison. In Group1, maxSUV (semi-quantitative analysis) was increased from $5.64{\pm}5.85$ (1.89~17.84) at first image to $5.90{\pm}5.01$ (1.95~18.22) at second image and radioactivity (Bq/ml) (quantitative analysis) showed similar increase from $5.93{\pm}6.38$ (2.50~16.75) at first image to $6.01{\pm}5.25$ (2.66~16.58) at second image. In Group2, TFmaxSUV was $10.54{\pm}14.36$ (2.54~33.89) in true first image, TSmaxSUV was $9.85{\pm}12.88$ (2.62~26.20) in true second image separately. The maxSUV showed a significant difference in the mean comparison between the two groups (p=0.035) But, mean radioactivity (Bq/ml) was $5.93{\pm}6.38$ (4.81~40.99) in true first image, $6.01{\pm}5.25$ (4.51~36.93) in true second image and didn't show a significant difference statistically (p=0.126) Conclusion : In diagnosis of thyroid tumor, SUV and radioactivity depending on $^{18}F$-FDG uptake showed high similarity with coefficient of determination (R2=0.939) and malignant evaluation results using dual time also showed similar aspect. Radioactivity for evaluation of malignant tumor didn't show better specificity or sensitivity than maxSUV.
Geum Bong Yu;Chang Heon Choi;Jung-in Kim;Jin Dong Cho;Euntaek Yoon;Hyung Jin Choun;Jihye Choi;Soyeon Kim;Yongsik Kim;Do Hoon Oh;Hwajung Lee;Lee Yoo;Minsoo Chun
Progress in Medical Physics
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v.33
no.4
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pp.150-157
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2022
Purpose: Elekta synergy® was commissioned in the Seoul National University Veterinary Medical Teaching Hospital. Recently, Chung-Ang University Gwang Myeong Hospital commissioned Elekta Versa HDTM. The beam characteristics of both machines are similar because of the same AgilityTM MLC Model. We compared measured beam data calculated using the Elekta treatment planning system, Monaco®, for each institute. Methods: Beam of the commissioning Elekta linear accelerator were measured in two independent institutes. After installing the beam model based on the measured beam data into the Monaco®, Monte Carlo (MC) simulation data were generated, mimicking the beam data in a virtual water phantom. Measured beam data were compared with the calculated data, and their similarity was quantitatively evaluated by the gamma analysis. Results: We compared the percent depth dose (PDD) and off-axis profiles of 6 MV photon and 6 MeV electron beams with MC calculation. With a 3%/3 mm gamma criterion, the photon PDD and profiles showed 100% gamma passing rates except for one inplane profile at 10 cm depth from VMTH. Gamma analysis of the measured photon beam off-axis profiles between the two institutes showed 100% agreement. The electron beams also indicated 100% agreement in PDD distributions. However, the gamma passing rates of the off-axis profiles were 91%-100% with a 3%/3 mm gamma criterion. Conclusions: The beam and their comparison with MC calculation for each institute showed good performance. Although the measuring tools were orthogonal, no significant difference was found.
The purpose of this study is to investigate the relationship between the level of stress recognition of urban housewife and the method of coping, and to explore bow these factors are influenced by socio-demographic variables such as the age of housewife, level of education, status of employment, number of children, durations of marriage, types of family, religion and socio-economic status. The research was conducted on 431 housewives in Seoul in August, 1985. As for the measurement of the instrument, 48 item questionnaire made by investigator was used. The questionnaire was based upon modified and upplemented Holme & Rahe's SRRS and Bell's 18-item Questionnaire to be appropriate to Korean culture. Data were analyzed by percentage, frequency and mean, and verified significant difference by ANOVA and performed Spearman's correlation coefficient. The results of this study are as follows; 1) There is some similarity in distribution of the level of stress recognition of urban housewife. 2) the level of education and the durations of marriage have influence upon the level of stress recognition of urban housewife. In each area, there are differences among groups : age, level of education, durations of marriage, number of children and types of family in the area of education ; age, status of employment, and durations of marriage in the area of health; level of education, durations of marriage, number of children and socio-economic status in the area of finance; status of employment in the area of household work. 3) There are several methods in the method of coping to stress of housewife and the score of long-term coping method appears higher than that of short-term. 4) The level of education, number of children, religion and socio-economic status were variables to have influence on the method level of education, religion and socio- economic status were variables to have influence and in the long-term coping method level of education, number of children, religion, and socio-economic status were to have influence. 5) There is very low positive correlation between the level of stress recognition of urban housewife and the method of coping to stress( ρ=.10, P<.05). 6)In the relation between several variables in socio-demographic variables and the method to coping to stress, the lower the level of stress recognition there are negative correlation (ρ=-.28, P<.01) between religion and the method of coping and also negative correlation (ρ=-.16, P<.05) between number of children and the method of coping. There are positive correlation between socio-economic status and the method of coping.
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