Rice is widely dominated by two strain, Indica (Oryza sativa indica) and Japonica (Oryza sativa japonica), and there is a great amount of the genetic diversity between two strain. Understanding the genetic difference and variants between two strain requires high-quality reference genome information. While Nipponbare, a japonica reference sequence, has been mainly used as the rice reference genome, the Indica reference sequences, R93-11 and R498, were recently published. Based on the two reference sequences, in this study, we investigated the effect of the reference genome in the rice genetic study. To this end, we utilized relevant bioinformatic tools and statistical methods to analyze all possible combinations of the reference genome and the variety. In this way, we suggested possible combinations of the reference sequence and the variety suitable for the genetic study of rice.

In this study, we utilize the cross and partial correlation analyses in order to investigate the dependence of power energy consumption on the temperature. To this end, we use a time series data that consists of three attributes : an hourly measured electric power consumption, temperature, and humidity. We, in particular, divide the yearly data into monthly base, and estimate the cross correlation coefficients between all possible pairs of attributes for each monthly based data. We found that temperature and power consumption are negatively correlated in the winter; positively correlated in the summer. A similar trend was found between humid and power consumption. This implies that when temperature or humidity is relatively high or low, the power consumption increases due to the cooling and heating system at work. In contrast, the correlation between temperature and humid behaves differently from those between temperature and power consumption. These results can be used to effectively manage the power system.

In this paper, we propose an Elman recurrent neural network to predict and analyze a time series of gas energy consumption in an air handling unit. To this end, we consider the volatility of the time series and demonstrate that there exists a correlation in the time series of the volatilities, which suggests that the gas consumption time series contain a non-negligible amount of the non-linear correlation. Based on this finding, we adopt the Elman recurrent neural network as the model for the prediction of the gas consumption. As the simplest form of the recurrent network, the Elman network is designed to learn sequential or time-varying pattern and could predict learned series of values. The Elman network has a layer of “context units” in addition to a standard feedforward network. By adjusting two parameters in the model and performing the cross validation, we demonstrated that the proposed model predicts the gas consumption with the relative errors and the average errors in the range of 2%~5% and 3kWh~8kWh, respectively. The results of this study can be used to the energy management system in terms of the effective control of the cross usage of the electric and the gas energies.

This study was performed to develop a new process technology for advanced wastewater treatment using a modified Rotating Activated Bacillus Contactor (RABC) process that adopts anoxic-oxic suspended biomass tanks to enhance nutrients removal. A modified lab-scale RABC process was applied to examine its applicability and to obtain the design factors for the optimum operation of the system. The modified RABC process showed a little more stable and high nutrients removal efficiency than the prototype RABC process: about 70% of nitrogen and 55% of phosphorous removal when the low organic loading (influent COD 200mg/L). However, the processing efficiency of nutrients removal rates was enhanced to great extent when high organic loading: nitrogen 90% and phosphorous 85% (influent COD 500mg/L). High organic loading stimulated extremely good biomass attachment on the reticular carrier RABC stage and the excellent nutrients removal, nevertheless with almost no offensive odor.

The purpose of this study is to examine the impact of perceived sustainability management fit of SPA brands on consumer purchase intention. A survey was conducted targeting women in their 20s and 30s from April 27th to May 6th 2013, and a total of 350 questionnaires were used in the final analysis. Frequency analysis, reliability analysis, factor analysis, ANOVA, simple regression analysis and multiple regression analysis were carried out using SPSS ver 21.0. The results of this study are as follows. First, fit of all three areas- economic, ecological and socialof sustainability management activities have a significant impact on consumer perception on sustainability activities. Second, perceived sustainability activities by SPA brands are found to have a positive effect on brand attitude, brand trust and consumer satisfaction. Third, brand attitude and consumer satisfaction forged by perceived sustainability activities by SPA brands have a positive impact on consumers' purchase intention. Based on the result of this study, the following marketing implications can be suggested. First, SPA brands need to be more active in all three area of sustainability activities while coming up with measures for differentiated social sustainability activities. Second, SPA brands need to meet their primary obligation by providing consumers with quality products at a reasonable price. Third, SPA brands need to recognize the potential value of sustainability activities as a driver of a longstanding relationship with consumers as well as long-term profit and value creation, leading to a great financial performance.

Due to rapid urbanization and industrialization, water supply and sewer line systems are also developed relevantly. Manhole is an essential component structure of the pipeline system. Manhole is a structure constructed to accommodate the direction, dimension, differences in level, and easy of maintenance in the pipeline system. In this paper we present the result of investigations pertaining to the structural behavior of PVC sewer manhole buried underground. In the paper mechanical properties of PVC material are reported. In addition, by the finite element analysis (FEA), we confirmed that a PVC double-wall corrugated pipe manhole, when it is buried underground, is safe for the stress as well as buckling strength if the manhole is constructed within the suggested limit of buried depth.

Anti-inflammatory effects of ethanolic extract of Angelica gigas (EAG 50, 150, and 500 mg/kg) were investigated in thermal burn-paw edema model. Immersion of rat hind legs into 48.5℃ water for 50 scincreased the leg volume by 0.46-0.55 ml. EAG attenuated not only the paw volume in a dose-dependent manner, but also blood lymphocyte counts and interleukin-6 level increased by burns, without influence on the level of tumor-necrosis factor-α. Moreover, EAG reduced alkaline phosphatase level, a parameter of hepatic injury, which was increased by thermal burns. The results indicate that EAG attenuates inflammatory aymptoms induced by thermal burn and EAG or its conmarin derivatives could be a promising anti-inflammatory drug candidate in inflammation diseases.