• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.269-279
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• 2021

In the current conditions of world socio-economic development, the strategic support of the process of managing the development of universities has become a particularly important area. Strategic management requires reliable information and analytical support in the form of sound descriptions of strategic directions of development, assumptions, and forecasts. The purpose of the study is to substantiate and elaborate the crucial causes in the strategic management of university's development and to suggest the coherent prospects for advancements. The data analysis was performed using descriptive methods to identify the most significant causes that affect the university's strategic development; the expert assessment was used to rank the factors, ultimately to assess each factor that affects to some extent the university's strategic development; the abstract-logical method was used to ground the positive impact of computer technologies and e-learning on the strategic development of a university and to formulate proposals for its further progress. The main results provided in the given paper showed that significant and most important strategic cause of university's development lies in the field of improving the quality of education, expanding access to educational services based on computer technology and its functionality. In turn, its widespread use at all stages of the educational process allows providing a number of advancements for universities in strategic prospects.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.4142-4159
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• 2019

We have developed composite measures of supercomputer technology, reflecting various factors of supercomputers using Martino's scoring model. CPUs, accelerators, memory, interconnection networks, and power consumption are chosen as factors of the model. The weight values of the factors are derived based on a survey of 129 domestic and international experts. The measured values are then standardized to integrate measurement units of the factors in the model. This model has been applied to 50 supercomputers, and rank correlation analysis was performed using representative measures. As a consequence, the ranking drastically changes except for the 1st and 2nd supercomputers on the TOP500. In addition, the characteristics of memory and interconnection networks influence the ranking, and the results demonstrate that the proposed model has low correlations with HPL and HPCG but a high correlation with Green500. This indicates that power consumption is an important factor that has a significant effect on the measures of supercomputer technology. In addition, it is determined that the differences between the HPL ranking and the proposed model ranking are influenced by power consumption, CPU theoretical peak performance, and main memory bandwidth in order of significance. In conclusion, the composite measures proposed in this study are more suitable for comprehensively describing supercomputer technology than existing performance measures. The findings of this study are expected to support decision making related to management and policy in the procurement and operation of supercomputers.

• The Korean Journal of Emergency Medical Services
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• v.22 no.3
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• pp.131-148
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• 2018

Purpose: This study examined the associations of job stress and burnout with the quality of life (QOL) among 119 emergency medical technicians (EMTs). Methods: Using a descriptive correlational design, 260 EMTs working in D City or S City completed the questionnaires. Hierarchical multiple regression analysis was conducted to determine the predictors of QOL among 119 EMTs. Results: Overall, there was relatively low job stress among 119 EMTs. There were significant differences in job stress and burnout by general characteristics, especially regarding those of gender, service career, job rank, and self-reported health. In a hierarchical multiple regression, general characteristics explained 29% of QOL (Model I, F=16.369, p<.001). The explanatory power for QOL increased to 49% upon adding job stress (Model II, F=18.737, p<.001), and 59% upon adding burnout (Model III, F=22.621, p<.001). In the last model, self-reported health (${\beta}=.316$, p<.001), job demand (${\beta}=-.130$, p=.009), job insecurity (${\beta}=-.136$, p=.010), lack of reward (${\beta}=-.189$, p=.001), emotional exhaustion (${\beta}=-.196$, p=.004) and lack of personal accomplishment (${\beta}=-.334$, p<.001) were significant predictors of QOL among 119 EMTs. Conclusion: Based on the results, it is necessary to assess and manage job stress and burnout systematically among EMTs, and to develop health improvement programs for better QOL.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.553-564
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• 2019

In order to understand the difficulties and overcoming effort in teachers of Employer-Supported Child-Care Center in the attitude of parents, this study explored seven teachers of Soie Child-Care Center that operated for 18 hours a day, 365 days a year. Seven teachers were interviewed and the data were analyzed utilizing content analysis. The results of the study came out that Teachers experience difficulties such as parents' non-regulations, excessive use, excessive individual demands, excessive sensitivity in case of safety accidents, the connection of parental rank to the classroom, excessive service demands. In order to overcome this problem, participants used methods such as identifying sensitive parts of parents, seeking advice, objectifying situations, and enhancing professionalism. This will be basic data for the expanding operation of Employer-Supported Child-Care Center and the development of programs to support teachers.

• Journal of The Korean Society of Integrative Medicine
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• v.7 no.3
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• pp.117-125
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• 2019

Purpose : The purpose of this study was to determine the effects of simultaneous application of focal vibration stimulation and task-oriented training on the improvement in upper extremity motor function after stroke. Methods : The study period was from January to April 2019; 23 patients who fulfilled the study eligibility criteria were enrolled. The participants were divided into two groups: the experimental group with vibration stimulation and task-oriented training and the control group with only task-oriented training. Training was conducted in a total of 20 sessions, 5 times a week for 30 minutes a day for 4 weeks. The amount of use of the affected and unaffected side by accelerometers, and Box and Block test (BBT), Action Research Arm Test (ARAT) was measured with a pre-test, a post-test. Wilcoxon Signed Rank Test and Analysis of Covariance were used to compare and analyze the changes within and between the groups. Results : Both the groups showed statistically significant changes in the results of the BBT and the ARAT, as well as the amount of use of the affected and unaffected side. Regarding the use of the affected side, BBT results, and the grasp and gross movement item of the ARAT showed significant changes in the experimental group compared with the control group. Conclusion : We found that simultaneous application of focal vibration stimulation and task-oriented training was more effective than task-oriented training alone. A large-scale comparative study involving a group that is only given vibration stimulation should be conducted for more generalizable results.

• BMB Reports
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• v.52 no.6
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• pp.409-414
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• 2019

Natural compounds isolated from medicinal herbs and plants have immense significance in maintaining bone health. Hydrolysable tannins have been shown to possess a variety of medicinal properties including antiviral, anticancer, and anti-osteoclastogenic activities. As a part of a study on the discovery of alternative agent against skeletal diseases, we isolated a hydrolysable tannin, 2-O-digalloyl-1,3,4,6-tetra-O-galloyl-${\beta}$-D-glucose (DTOGG), from Galla Rhois and examined the effect on osteoclast formation and function. We found that DTOGG significantly inhibited receptor activator of nuclear factor-${\kappa}B$ ligand (RANKL)-induced osteoclast differentiation by downregulating the expression of the key regulator in osteoclastogenesis as well as osteoclast-related genes. Analysis of RANKL/RANK signaling revealed that DTOGG impaired activation of $I{\kappa}B{\alpha}$ and p65 in the nuclear factor kappa-lightchain-enhancer of activated B cells (NF-${\kappa}B$) signaling pathway. Furthermore, DTOGG reduced bone resorbing activity of osteoclasts, compared to the vehicle-treated control. These results suggest that DTOGG could be a useful natural compound to manage osteoclast-mediated skeletal diseases.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.5860-5876
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• 2018

A single snapshot data can only provide limited amount of information so that the rank of covariance matrix is not full, which is not adopted to complete the parameter estimation directly using the traditional super-resolution method. Aiming at solving the problem, a joint time delay and angle estimation using matrix pencil method based on information reconstruction vector for orthogonal frequency division multiplexing (OFDM) signal is proposed. Firstly, according to the channel frequency response vector of each array element, the algorithm reconstructs the vector data with delay and angle parameter information from both frequency and space dimensions. Then the enhanced data matrix for the extended array element is constructed, and the parameter vector of time delay and angle is estimated by the two-dimensional matrix pencil (2D MP) algorithm. Finally, the joint estimation of two-dimensional parameters is accomplished by the parameter pairing. The algorithm does not need a pseudo-spectral peak search, and the location of the target can be determined only by a single receiver, which can reduce the overhead of the positioning system. The theoretical analysis and simulation results show that the estimation accuracy of the proposed method in a single snapshot and low signal-to-noise ratio environment is much higher than that of Root Multiple Signal Classification algorithm (Root-MUSIC), and this method also achieves the higher estimation performance and efficiency with lower complexity cost compared to the one-dimensional matrix pencil algorithm.

• Journal of Korea Trade
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• v.25 no.5
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• pp.110-128
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• 2021

Purpose - The essential purpose of this study is to analyze the possibility of substitution of an individual job resulting from technological development represented by the 4th Industrial Resolution, considering the different effects of digital transformation on the labor market. Design/methodology - In order to estimate the substitution probability, this study used two data sets which the job characteristics data for individual occupations provided by KEIS and the information on occupational status of substitution provided by Frey and Osborne(2013). In total, 665 occupations were considered in this study. Of these, 80 occupations had data with labels of substitution status. The primary goal of estimation was to predict the degree of substitution for 607 of 665 occupations (excluding 58 with markers). It utilized three methods a principal component analysis, an unsupervised learning methodology of machine learning, and Ridge and Lasso from supervised learning methodology. After extracting significant variables based on the three methods, this study carried out logistics regression to estimate the probability of substitution for each occupation. Findings - The probability of substitution for other occupational groups did not significantly vary across individual models, and the rank order of the probabilities across occupational groups were similar across models. The mean of three methods of substitution probability was analyzed to be 45.3%. The highest value was obtained using the PCA method, and the lowest value was derived from the LASSO method. The average substitution probability of the trading industry was 45.1%, very similar to the overall average. Originality/value - This study has a significance in that it estimates the job substitution probability using various machine learning methods. The results of substitution probability estimation were compared by industry sector. In addition, This study attempts to compare between trade business and industry sector.

• Journal of Yeungnam Medical Science
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• v.38 no.1
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• pp.39-46
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• 2021

Background: To determine the benefit of pelvic floor muscle exercise (PFME) with visual biofeedback on promoting patient recovery from incontinence, we investigated variables associated with the early restoration of continence for patients who underwent robot-assisted radical prostatectomy (RARP). Methods: Of the 83 patients enrolled, 41 consecutive patients completed PFME (the exercise group), and the other 42 consecutive patients just before the PFME program commenced (the control group). The primary outcome was whether PFME engagement was associated with zero pad continence restoration within 3 months of surgery. Results: Continence restoration percentages (defined as zero pads used per day) at 1, 3, and 6 months after surgery were 49.4%, 77.1%, and 94.0%, respectively. The exercise group achieved significantly higher recovery rates at 1 month (p=0.037), 3 months (p<0.001), and 6 months (p=023). Cox regression analysis demonstrated that a lower Gleason score (<8; hazard ratio [HR], 2.167), lower prostate specific antigen (<20 ng/dL; HR, 2.909), and engagement in PFME (HR, 3.731) were independent predictors of early recovery from postprostatectomy incontinence. Stratification by age showed that those younger than 65 years did not benefit significantly from exercise (log-rank test, p=0.08), but that their elderly counterparts, aged 65-70 years (p=0.007) and >70 years old (p=0.002) benefited significantly. Conclusion: This study suggests that postoperative engagement in PFME with biofeedback speeds up the recovery of continence in elderly patients (≥65 years old) that undergo RARP.

• Journal of Korea Water Resources Association
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• v.54 no.2
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• pp.135-144
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• 2021

This paper attempted to find implications for water resource management and water quality improvement by analyzing the causal relationship among discharge, water temperature and pollution index, which were expected to have a great effect on water quality with the rise of water temperature and precipitation change as the warming effect in recent years. For this purpose, the unit root test, cointegration test, and Granger causal test were carried out for 10 multi-purpose dams in Korean major water systems using time series data on discharge, water temperature, BOD, COD and DO. It was analyzed that the fluctuation of water temperature affected the pollution index more than the fluctuation of discharge volume. Also, Hapcheon dam and Chungju dam were the best water quality management dams based on the high causal relationship between water quality and discharge. The second rank was Daecheong dam. The third-ranking group were Yongdam and Andong dam, whose causal relationships between water quality and discharge were low. The last group were the remaining five dams.