Kim, Hye Young;Goh, Seung-Suk;Yang, Soon Jeong;Yoon, Bang Woo;Tak, Jinkook
The Korean Journal of Coaching Psychology
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v.5
no.1
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pp.1-32
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2021
The purpose of this study was to investigate the effects of the online coaching program on improving eating habit behaviors. The online coaching program was based on the model of habit behaviors change process(Tak et al., 2019) and the success factors on improving eating habit behaviors(Choi et al., 2020), and previous research showing the effects of habit change. Participants were 20 adults, selected through telephone interviews over the age of 19 in the metropolitan area. They were divided into the experiment and control groups, and participated one-on-one coaching program. Data of 17 people were used for the final analysis, and weight, dietary habits, eating behaviors, dietary self-efficacy, self-regulation, and life satisfaction were measured at two times(pre and post). Results showed that there were significant interaction effects between time interval and groups for all the dependent variables except self-regulation and life satisfaction. In other words, there were significant changes in weight, dietary habits, eating behaviors, dietary self-efficacy in the experimental group between time interval, whereas there were no significant changes for the control group. Based on these results, the significance and practical implications, limitations of this research, and suggestions for further research were discussed.
Objectives : The current treatment regimens for patients with nephrotic syndrome due to membranous nephropathy(MN) are based on steroids or immunosuppressive therapy with the aim of reducing proteinuria and improving outcome. Although these treatments attenuate the deterioration of renal function in MN patients, it has been suggested that all are burdened by significant toxicity. Therefore, more specific and less toxic therapies are needed. This study was to evaluate the effects of Coptidis Rhizoma Extract(CRE) on the MN induced by cBSA in mice. Methods : Mice were divided into 4 groups. One group named for 'Normal' was injected with a saline solution not to be immunized. The rest groups were treated as follows; After mice were immunized with 0.2 mg of cBSA and Freund's complete adjuvant one time every two weeks for 6 weeks, they received intra-peritoneal injection of 10 mg/kg of cBSA daily for 4 weeks. Also, they were divided into 3 groups. The first named for 'Control' was not given CRE. The second for 'CRE-250' was given oral administration of 250 mg/kg of CRE daily for 4 weeks. The third for 'CRE-500' was given 500 mg/kg of CRE. All of mice were sacrificed 4 weeks after the first immunization. We measured a body weight and 24hrs proteinuria as well as serological analysis. The morphologic changes of renal glomeruli were also observed with a light microscope and an electron microscope. Results : The levels of 24 hrs proteinuria, triglyceride, IgG, IL-6 were significantly decreased in both CRE groups. And the level of IgM was significantly decreased in CRE-250 group. In histological findings of kidney tissue, thickening of GBM and deposition of electron-density were consideraly decreased in both CRE groups. Conclusions : The present study suggests that CRE is highly effective when treating mice with MN induced by cBSA. More clinical data and studies are to be done for efficient application.
Objectives : Atopic dermatitis is a chronic inflammatory disease characterized by typically distributed eczematous skin lesion with pruritus, lichenification and dry skin. In this study, we performed to assess the therapeutic effects of co-treatment of Chenilyeomgamibang (CGB) and Chenggihaedok-san (CHS, C&C) on the TNCB(trinitrochlorobenzene)-induced atopic dermatitis in NC/Nga mice, characterized by the onset of atopic dermatitis along with an increase the number of inflammatory cells and dysregulation of Th2 cytokines. Methods : Defined amount of CGB was sprayed on mice skin and CHS was simultaneously orally administrated to TNCB treated NC/Nga mice for 5 weeks. The immune cell types were caracterized by flow cytometry using each specific antibody. The amount of Th2 cytokines in serum and splenocytes culture supernatant were measured by ELISA. Results : Administration of C&C significantly reduced clinical dermatitis severity including pruritus, edema, eczematous and erythema. Histological findings indicated that the thickening of epidermis/dermis and dermal infiltration of inflammatory cells were dramatically reduced. Flow cytometry analysis showed that infiltrated immune cell numbers of CCR3+, B220+/IgE+, Gr-1+/CD11b+, and CD117+ were significantly reduced in C&C-treated dorsal skin lesion. Furthermore, T cell composition rate in PBMC was also dramatically decreased by the treatment. C&C greatly down-regulated production of Th2 cytokines including IL-4, IL-5, IL-13 in the serum. The down- regulatory effects of C&C on these Th2 cytokines production were also detected in CD3/ CD28 activated splenocytes. Conclusions : These results indicated that C&C is a plausible therapeutic agent for treatment of atopic dermatitis through regulating the Th2 skewed immune system.
Guoping Hu;Yingzhi Xia;Lianggen Zhong;Xiaoxue Ruan;Hui Li
Geomechanics and Engineering
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v.32
no.1
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pp.111-123
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2023
The slope of an open cut tunnel is located above the exit of the Leijia tunnel on the Changgan high-speed railway. During the excavation of the open cut tunnel foundation pit, the slope slipped twice, a large landslide of 92500 m3 formed. The landslide body and unstable slope body not only caused the foundation pit of the open cut tunnel to be buried and the anchor piles to be damaged but also directly threatened the operational safety of the later high-speed railway. Therefore, to study the stability change in the slope of the open cut tunnel under heavy rain and excavation conditions, a 3D numerical calculation model of the slope is carried out by Midas GTS software, the deformation mechanism is analyzed, anti-sliding measures are proposed, and the effectiveness of the anti-sliding measures is analyzed according to the field monitoring results. The results show that when rainfall occurs, rainwater collects in the open cut tunnel area, resulting in a transient saturation zone on the slope on the right side of the open cut tunnel, which reduces the shear strength of the slope soil; the excavation at the slope toe reduces the anti-sliding capacity of the slope toe. Under the combined action of excavation and rainfall, when the soil above the top of the anchor pile is excavated, two potential sliding surfaces are bounded by the top of the excavation area, and the shear outlet is located at the top of the anchor pile. After the excavation of the open cut tunnel, the potential sliding surface is mainly concentrated at the lower part of the downhill area, and the shear outlet moves down to the bottom of the open cut tunnel. Based on the deformation characteristics and the failure mechanism of the landslides, comprehensive control measures, including interim emergency mitigation measures and long-term mitigation measures, are proposed. The field monitoring results further verify the accuracy of the anti-sliding mechanism analysis and the effectiveness of anti-sliding measures.
Se-jin Lim;Hyun-Ji Kim;Kyung-Bae Jang;Yea-jun Kang;Won-Woong Kim;Yu-Jin Yang;Hwa-Jeong Seo
Journal of the Korea Institute of Information Security & Cryptology
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v.33
no.2
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pp.193-200
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2023
Cryptanalysis can be performed by various techniques such as known plaintext attack, differential attack, side-channel analysis, and the like. Recently, many studies have been conducted on cryptanalysis using deep learning. A known-plaintext attack is a technique that uses a known plaintext and ciphertext pair to find a key. In this paper, we use deep learning technology to perform a known-plaintext attack against S-PRESENT, a reduced version of the lightweight block cipher PRESENT. This paper is significant in that it is the first known-plaintext attack based on deep learning performed on a reduced lightweight block cipher. For cryptanalysis, MLP (Multi-Layer Perceptron) and 1D and 2D CNN(Convolutional Neural Network) models are used and optimized, and the performance of the three models is compared. It showed the highest performance in 2D convolutional neural networks, but it was possible to attack only up to some key spaces. From this, it can be seen that the known-plaintext attack through the MLP model and the convolutional neural network is limited in attackable key bits.
KSCE Journal of Civil and Environmental Engineering Research
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v.43
no.2
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pp.195-206
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2023
Most of the Micro-mobility parking in Korea use Dockless system. However, Dockless can result in cluttering, infrastructure deficiencies, and safety challenges as has been observed in cities. It is necessary to introduce a Station Parking system in order to solve the drawbacks of the dockless, but the introduction without engineering has low accessibility and induces side effects. In this study, to decide optimal location about number of the Micro-mobility Station, we has been applied the MCLP model about the coverage range, usage demand, usage time in order to classify the type of Micro-mobility Station. For the MCLP, User Date input to reflect realistic demand in Bundang new town, Korea. The result show that the optimal number of facilities in 400 m was 146, and the coverage ratio was 99.83 %, which was most suitable coverage for solving the parking problem. We also classified the demand into 4 levels and the usage time into 3 levels, and by crossing them, we were able to classify the Parking lot types into 12 types. It is possible to propose strategic policies in the installation and operation of Micro-mobility Parking System.
Impulse waves generated by landslides near water bodies can lead to fatal damage to human life and surrounding infrastructure. These impulse waves are generally called landslide-impulsed waves and occur without being limited to a specific area. Recently, localized torrential rains have frequently occurred due to the influence of abnormal weather, both the frequency and scale of landslides occurring in Korea are increasing. Therefore, in this study, the experiments were conducted according to the mass ratio of the landslide models, and among the characteristics of the generated landslide-impulse waves. And the wave amplitude was observed and analyzed. In this study, a total of 75 experiments were conducted by repeating the experiment 5 times for 15 cases with mass ratios of 5 landslide models and 3 types of slope angles. As a result of experiments with different mass ratios of landslide models, if the landslides have the same initial energy, the size of the landslide-impulse waves generated by mixing granular and block forms is higher than the size of the landslide-impulse waves generated by pure granular and block landslides. It is analyzed that the size may be larger.
One of the most important types of Customer Empowerment Strategy (CES) is select empowerment, where firms allow customers to vote on a product to be marketed. However, there is limited research on the advantages and disadvantages of select empowerment. In particular, there are few studies on the composition of a voting system. This study analyzes customer participation behavior, such as willingness to vote and strategic voting (i.e., voting for candidates not based on utility orders), under the different voting systems: 1) the number of votes per customer (single or multiple), and 2) the number of final choices (single or multiple). Uncertainty is proposed as a mediator that links the voting system difference and customer participation. Two research hypotheses are tested using multiple linear regression analysis and a natural effects model based on data from two online experiments. As a result, the multiple voting system (i.e., multiple winners are selected by customer votes) shows a direct positive effect on willingness to vote and strategic voting behavior. In addition, the result shows that uncertainty insignificantly mediates the relationship between the voting system and customer participation. Academic and managerial contributions are discussed with several future research directions.
Recently the large scale civil engineering projects are being implemented by reclaiming the sea or utilizing seashore and river embankment areas. The reclaimed land and utilized seashore are mostly soft ground that doesn't have sufficient bearing capacity. This soft ground consists of fine-grained soil such as clayey and silty soils or large void soil like peat or loose sand. It has high ground water table and it may cause the failure and crock of building foundation by uplift pressure and ground water leakage. In this study, the permittivity and the transmissivity were evaluated with the applied normal pressure in the laboratory. The laboratory model tests were conducted by utilizing geocomposite drainage system for draining the water out to release the uplift pressure. The soil used in the laboratory drainage test was dredged soil from the reclaimed land where uplift pressure problems can arise in soil condition. Geocomposite drainage system was installed at the bottom of apparatus and dredged soil was layered with compaction. Subsequently the water pressure was supplied from the top of specimen and the quantities of drainage and the pore water pressure were measured at each step water pressure. The results of laboratory measurements were compared with theoretical values. For the evaluation of propriety of laboratory drainage test, 2-D finite elements analysis that can analyze the distribution and the transferring of pore water pressure was conducted and compared with laboratory test results.
Downhole seismic method is widely used for obtaining shear wave velocity profile of a site because it is simple and economical. Determining accurate travel time of shear wave is very important to obtain reliable result in downhole seismic method. In this paper, comparison study of various travel time determination methods was performed. Numerical study and model chamber test were performed for effective comparison study. Signal traces were acquired by performing downhole test at each numerical simulation and soil box test. Travel time data for each signal traces were determined by using six different methods and Vs profiles were evaluated. Comparing travel time data and Vs profiles with the reference value, the first arrival picking method proved to be ambiguous and unreliable. Other methods also did not always provide accurate results and the magnitude of error was dependent on the signal to noise ratio. Cross-correlation method proved to be the most adequate method for the field application and it was verified additionally with field data.
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