• Structural Engineering and Mechanics
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• 제84권5호
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• pp.591-604
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• 2022

A gravity wall combined with an anchoring lattice frame (a combined retaining structure) is adopted at a typical engineering site at Dali-Ruili Railway Line China. Where, the combined retaining structure supports a soil deposit covering on different inclined rock slopes. With an aim to investigate and compare the effects of inclined rock slopes on the response of combined retaining structure under seismic excitation, three groups of shaking table tests are conducted. The rock slopes are shaped as planar surfaces inclined at angles of 20°, 30°, and 40° with the horizontal, respectively. The shaking table tests are supplemented by dynamic numerical simulations. The results regarding the horizontal acceleration response, vertical acceleration response, permanent displacement mode, and axial anchor force are comparatively examined. The acceleration response is more susceptible to outer structural profile of combined retaining structure than to inclined angle of rock slope. The permanent displacement decreases when the inclined angle of the rock slope increases within a range of 20°-40°. A critical inclined angle of rock slope exists within a range of 20°-40°, and induces the largest axial anchor force in the combined retaining structure.

• Journal of Information Processing Systems
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• 제15권2호
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• pp.305-319
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• 2019

The prediction of the sum of container is very important in the field of container transport. Many influencing factors can affect the prediction results. These factors are usually composed of many variables, whose composition is often very complex. In this paper, we use gray relational analysis to set up a proper forecast index system for the prediction of the sum of containers in foreign trade. To address the issue of the low accuracy of the traditional prediction models and the problem of the difficulty of fully considering all the factors and other issues, this paper puts forward a prediction model which is combined with a back-propagation (BP) neural networks and the support vector machine (SVM). First, it gives the prediction with the data normalized by the BP neural network and generates a preliminary forecast data. Second, it employs SVM for the residual correction calculation for the results based on the preliminary data. The results of practical examples show that the overall relative error of the combined prediction model is no more than 1.5%, which is less than the relative error of the single prediction models. It is hoped that the research can provide a useful reference for the prediction of the sum of container and related studies.

• Archives of Plastic Surgery
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• 제44권3호
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• pp.194-201
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• 2017

Background Platelet-rich plasma (PRP) contains high concentrations of growth factors involved in wound healing. Hydrogel is a 3-dimensional, hydrophilic, high-molecular, reticular substance generally used as a dressing formulation to accelerate wound healing, and also used as a bio-applicable scaffold or vehicle. This study aimed to investigate the effects of PRP and hydrogel on wound healing, in combination and separately, in an animal wound model. Methods A total of 64 wounds, with 2 wounds on the back of each nude mouse, were classified into 4 groups: a control group, a hydrogel-only group, a PRP-only group, and a combined-treatment group. All mice were assessed for changes in wound size and photographed on scheduled dates. The number of blood vessels was measured in all specimens. Immunohistochemical staining was used for the analysis of vascular endothelial growth factor (VEGF) expression. Results Differences in the decrease and change in wound size in the combined-treatment group were more significant than those in the single-treatment groups on days 3, 5, 7, and 10. Analysis of the number of blood vessels through histological examination showed a pattern of increase over time that occurred in all groups, but the combined-treatment group exhibited the greatest increase on days 7 and 14. Immunohistochemical staining showed that VEGF expression in the combined-treatment group exhibited its highest value on day 7. Conclusions This experiment demonstrated improved wound healing using a PRP-hydrogel combined treatment compared to either treatment individually, resulting in a decrease in wound size and a shortening of the healing period.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.1065-1071
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• 2021

This study seeks to analyze the impact, and provides more empirical evidence on the effect, of the responsible accounting model combined with scorecards on the organizational performance of pharmaceutical companies. The research methodology uses questionnaires survey distributed to pharmaceutical companies. Quantitative research was done with SPSS 25 software. After excluding invalid questionnaires due to many blank boxes, 306 questionnaires could be used by the author. Research results show that seven elements of the responsible accounting model combined with the balance scorecard all positively affect the organizational performance of enterprises in the pharmaceutical industry including: (1) dividing organizational structure into centers of responsibility according to strategy; (2) assigning management to management according to vision; (3) allocating costs and revenue; (4) making budget estimates according to balanced scorecard (BSC); (5) evaluating estimates with reality by BSC; (6) making BSC analysis reports; and (7) rewarding based on BSC. Cost allocation and revenue are the factors that have the strongest impact on the organizational efficiency of pharmaceutical enterprises. Based on the research results, the author has proposed recommendations to improve the good application of the responsible accounting model combined with the balance scorecard, thereby contributing to improving the organizational efficiency of pharmaceutical enterprises.

• Nutrition Research and Practice
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• 제12권3호
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• pp.208-214
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• 2018

BACKGROUND/OBJECTIVES: The aim of this study was to evaluate the biological and sleep-promoting effects of combined ${\gamma}$-aminobutyric acid (GABA) and 5-hydroxytryptophan (5-HTP) using caffeine-induced sleepless fruit flies, ICR mice, and Sprague-Dawley rats. MATERIALS/METHODS: Video-tracking analysis was applied to investigate behavioral changes of Drosophila melanogaster. Pentobarbital-induced sleep test and electroencephalogram (EEG) patterns were used for analysis of sleep latency, duration, and quantity and quality of sleep in vertebrate models. RESULTS: Administration of combined GABA/5-HTP could significantly reverse the caffeine induced total distance of flies (P < 0.001). Also, individually administered and combined GABA/5-HTP significantly increased the total sleeping time in the caffeine-induced sleepless ICR mice (P < 0.001). In the caffeine-induced sleepless SD-rats, combined GABA/5-HTP showed significant differences in sleep quality between individual amino acid administrations (P < 0.05). CONCLUSIONS: Taken together, we identified inhibitory effects of combined GABA/5-HTP in locomotor activity, sleep quantity and quality in caffeine-induced sleepless models, indicating that combined GABA/5-HTP may be effective in patients with insomnia by providing sufficient sleep.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 추계학술대회 논문집
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• pp.454-457
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• 1997

The purpose of this study is to develop an optimal model, using existing models, that is able to estimate the amount of spatter utilizing artificial neural network in the short circuit transfer mode of gas metal arc (GMA) welding. The amount of spatter generated during welding can become a barometer which represents the process stability of metal transfer in GMA welding, and it depends on some factors which constitute a periodic waveforms of welding current and arc voltage in short circuit GMA welding. So, the 12 factors, which could express the characteristics for the waveforms, and the amount of spatter are used as input and output variables of the neural network, respectively. Two neural network models to estimate the amount of spatter are proposed: A neural network model, where arc extinction is not considered, and a combined neural network model where it is considered. In order to reduce the calculation time it take to produce an output, the input vector and hidden layers for each model are optimized using the correlation coefficients between each factor and the amount of spattcr. The est~mation performance of each optimized model to the amount of spatter IS assessed and compared to the est~mation performance of the model proposed by Kang. Also, through the evaluation for the estimation performance of each optimized model, it is shown that the combined neural network model can almost perfectly predict the amount of spatter.

• 한국지반공학회논문집
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• 제16권1호
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• pp.157-165
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• 2000

본 연구에서는 선철의 제조과정에서 부산물로 발생되는 수경성 입도조정 고로 슬래그(이하HMS-25라 함)의 철도 노반재로서의 적용성 및 성능평가 검토를 하였다. 실험은 기본물성 측정을 위한실내시험, 일축압축강도시험 및 정ㆍ동적 특성분석을 위한 모형토조실험 및 공진주/비틂 전단시험을 실시하였다. HMS-25의 일축압축강도시험 결과, 수경성에 의한 강도 증진 효과를 확인하였다. 토조시헌에서는 HMS-25를 이용하여 조성한 노반이 흙노반에 비해 지지력 및 침하량측면에서 효과적인 것으로 나타났다. 공진주/비틂전단시험에서는 전단탄성계수는 구속압의 0.5 제곱으로 증가하였으며, 재령에 따라 증가하는 경향을 보였다.

• 한국산업융합학회 논문집
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• 제19권3호
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• pp.133-143
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• 2016

The objective in here is to find the density, stiffness, and strength of truss-wall rectangular (TWR) model which is combined with lattice truss (MLT) inside space. The TWR unit-cell model is defined as a unit cell originated from a solid-wall rectangular (SWR) model and it has an empty space inside. Thus, the empty space inside of the TWR is filled with lattice truss model defined as TWR-MLT. The ideal solutions derived of TWR-MLT are based on TWR with MLT model and it has developed by Gibson-Ashby's theory. To validate the ideal solutions of the TWR-MLT, ABAQUS software is applied to predict the density, strength, and stiffness, and then each of them are compared with the Gibson-Ashby's ideal solution as a log-log scale. Applied material property is stainless steel 304 because of cost effectiveness and easy to get around. For the analysis, SWR and TWR-MLT models are 1mm, 2mm, and 3mm truss diameter separately within a fixed 20mm opening width. In conclusion, the relative Young's modulus and relative yield strength of the TWR-MLT unit model is reasonably matched to the ideal expectations of the Gibson-Ashby's theory. In nearby future, TWR-MLT model can be verified by advanced technologies such as 3D printing skills.t.

• 한국산업융합학회 논문집
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• 제19권3호
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• pp.109-124
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• 2016

The objective of this paper is to find the density, stiffness, and strength of truss-wall diamond corrugation model combined with pinwheel truss inside space. The truss-wall diamond corrugation (TDC) model is defined as a unit cell coming from solid-wall diamond corrugation (SDC) model. Pinwheel truss-wall diamond corrugation (P-TDC) model is made by TDC connected with pinwheel structure inside of the space. Derived ideal solutions of P-TDC is based on truss-wall and pinwheel truss model at first. And then it is compared with Gibson-Ashby's ideal solution. To validate the ideal solutions of the P-TDC, ABAQUS software is used to predict the density, strength, and stiffness, and then each of them are compared to the ideal solution of Gibson-Ashby with a log-log scale. Applied material property is stainless steel 304 because of having cost effectiveness. Applied parameters for P-TDC are 1 thru 5 mm diameter within fixed opening width as 4mm. In conclusion, the relative Young's modulus and relative yield strength of the P-TDC unit model is reasonable matched to the ideal expectations of the Gibson-Ashby's theory. In nearby future, P-TDC model is hoped to be applied to make sandwich core structure by advanced technologies such as 3D printing skills.

• 대한토목학회논문집
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• 제26권5B호
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• pp.481-488
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• 2006

본 연구는 준분포형 장기유출모형인 SWAT과 3차원 분포형 지하수 모형인 MODFLOW를 통합한 새로운 시도에 관한 것이다. SWAT모형은 준분포형 특성상 지하수 성분중에서 투수계수나 저류계수등의 분포형 매개변수를 고려할 수 없으며 지하수 함양량, 수두와 양수량 분포 등을 고려하는데에도 어려움이 있다. 이와같은 문제점을 극복하기 위해 SWAT의 수문반응단위인 HRU와 MODFLOW의 기본단위인 셀간의 특성치들을 주고받을 수 있는 완전연동형 기법을 제시하였다. 이러한 결합은 하천망과 대수층간의 상호작용을 경계흐름으로 고려함으로써 완성되었다. SWAT-MODFLOW 결합모형을 우리나라 경안천 수위관측소 유역에 시험적으로 적용한 결과, 포화대와 하천지류간의 상호작용이 경안천 유역의 유출량 산정에 중요한 역할을 한다는 것을 알 수 있었다. 이와 함께 결합모형은 지하수두 및 함양량의 시공간적 변동성을 재현하는 등 광범위한 적용가능성을 보여주었다.