Firstly, in this paper, the gap is quantized by the distance and the parameters of mixed traffic flow, e.g. acceleration, velocity, density and space headway, are collected by the photogrammetry. Seconondly based on t...
详细信息
ISBN:
(纸本)9780769550169
Firstly, in this paper, the gap is quantized by the distance and the parameters of mixed traffic flow, e.g. acceleration, velocity, density and space headway, are collected by the photogrammetry. Seconondly based on the dominant factor analysis of right-turning vehicle accepts the gap, the logistic regression model of the right-turning motor vehicle navigating the gap of straight-going bicycles is built. Lastly, the model is tested and proved effective.
The aim of this research was to establish a probabilistic model to predict the growth probability of ***. The five strains of *** were studied and a logistic regression model was chosen to study the interaction of dif...
详细信息
ISBN:
(纸本)9783037858134
The aim of this research was to establish a probabilistic model to predict the growth probability of ***. The five strains of *** were studied and a logistic regression model was chosen to study the interaction of different temperature (10 degrees C, 15 degrees C, 20 degrees C, 25 degrees C, 30 degrees C, 35 degrees C), pH(4.5, 5, 5.5, 6, 6.5, 7, 7.5), A(w)( 14 levels from 0.992 to 0.932) on the probability of growth. This paper made a fractional factorial design and the experimental data was divided to two parts: 80% of data was chosen as model data and 20% of data was chosen as validation data. At last comparison was made between the predicted values and observed value by choosing 19 experimental data from the published studies. The results showed the concordance index of model data was 0.991 while the validation data was 0.976, indicating that the data was correctly classified and model had a high predictive ability. Also The performance statistics obtained indicate a reasonable goodness of fit of the model obtained, mainly due to the high values of R-2-Nagelkerke (0.954) and chi(2)=0.0119, P=1 of the Hosmer-Lemeshow statistic. A high predictive accuracy is obtained (89.47%) with test data, showing a good predictive ability. In this paper, the growth/no growth model can quantized the combination of environmental factors for B. cereus. This study can help food manufacturers in making decision on the more reasonable and safer formulations for food products in order to prevent the growth of *** along their shelf-life.
The Korea government offers technology credit guarantee service to many technology-based small and medium enterprises (SMEs) suffering from funding problems. Many advanced application credit scoring models have been d...
详细信息
The Korea government offers technology credit guarantee service to many technology-based small and medium enterprises (SMEs) suffering from funding problems. Many advanced application credit scoring models have been developed based on technology to reduce the high default rates of this service. However, a credit scoring model which can reflect changes in firms after a loan has been granted has not yet been developed. In the study reported here, we propose a behavioral credit scoring model that reflects the debt-paying ability of recipient firms, which is observed as a time series of financial ratios of firms via the relationship banking activities. We utilize this time series, as well as missing patterns of financial information, as additional predictors of loan defaults. We compare our proposed behavioral credit scoring models, fitted at different points of elapsed time, to the application credit scoring model. Finally, we suggest the best behavioral credit scoring model for technology-based SMEs. Our study can contribute to the reduction of the risk involved in credit funding for technology-based SMEs.
A purchasing experiment in which genetically modified and conventional fries were offered for sale at mobile fast food stands in Germany was conducted to identify factors influencing the willingness of consumers to pu...
详细信息
Purpose - Given that there exists in the literature relatively little research into student experiences in transnational higher education, the purpose of this paper is to identify the determinants of student satisfact...
详细信息
Purpose - Given that there exists in the literature relatively little research into student experiences in transnational higher education, the purpose of this paper is to identify the determinants of student satisfaction at international branch campuses in the United Arab Emirates (UAE). Design/methodology/approach - This quantitative study involved 247 undergraduate and postgraduate students at branch campuses in the UAE who completed a questionnaire using either hard copies or an online version. Findings - It was found that levels of student satisfaction at UAE branch campuses were generally high. The factors that were most influential in determining whether or not a student at a UAE branch campus was satisfied overall with their institution were quality of lecturers, quality and availability of resources, and effective use of technology. Research limitations/implications - Given that cultures, customs, traditions and social contexts vary considerably in different locations, the findings of this study are not generalisable across all international branch campuses globally. Practical implications - The findings indicate that there remains scope for UAE branch campuses to further increase levels of student satisfaction. Managers might use the findings to review their own institution's performance, so that areas for improvement can be identified. Originality/value - Given that the logit model developed had an 87.4 per cent success rate in predicting whether or not a student at a UAE branch campus was satisfied overall with their institution, this research has demonstrated the potential usefulness of logisticregression as a predictive and explanatory tool in education management.
This article analyzes the determinants of firm migration in the Swedish wholesale trade sector using a unique dataset covering over 10,000 Swedish wholesale trade firms during the years 2000-2004. The results indicate...
详细信息
This article analyzes the determinants of firm migration in the Swedish wholesale trade sector using a unique dataset covering over 10,000 Swedish wholesale trade firms during the years 2000-2004. The results indicate that there are negative correlations between profits, firm age, and firm size and the probability of firm migration. There is a positive correlation between firm growth in the previous year and firm migration, indicating that growth opportunities that cannot be realized at the present location are an important motivation for migration.
The reservoir wetland, which is the largest artificial wetland in Beijing, constitutes one of the important urban ecological infrastructures. Considering two elements of natural environment and socio-economy, this pap...
详细信息
The reservoir wetland, which is the largest artificial wetland in Beijing, constitutes one of the important urban ecological infrastructures. Considering two elements of natural environment and socio-economy, this paper established the driving factor indexing system of Beijing reservoir wetland evolution. Natural environment driving factors include precipitation, temperature, entry water and groundwater depth; social economic driving factors include resident population, urbanization rate and per capita GDP. Using multi-temporal Landsat TM images from 1984 to 2010 in Beijing, the spatial extent and the distribution of Beijing reservoir wetlands were extracted, and the change of the wetland area about the three decade years were analyzed. logistic regression model was used to explore for each of the three periods： from 1984 to 1998, from 1998 to 2004 and from 2004 to 2010. The results showed that the leading driving factors and their influences on reservoir wetland evolution were different for each period. During 1984-1998, two natural environment indices： average annual precipitation and entry water index were the major factors driving the increase in wetland area with the contribution rate of logisticregression being 5.78 and 3.50, respectively, and caused the wetland growth from total area of 104.93 km 2 to 219.96 km 2 . From 1998 to 2004, as the impact of human activities intensified the main driving factors were the number of residents, groundwater depth and urbanization rate with the contribution rate of logisticregression 9.41, 9.18, and 7.77, respectively, and caused the wetland shrinkage rapidly from the total area of 219.96 km 2 to 95.71 km 2 . During 2004-2010, reservoir wetland evolution was impacted by both natural and socio-economic factors, and the dominant driving factors were urbanization rate and precipitation with the contribution rate of 6.62 and 4.22, respectively, and caused the wetland total area growth slightly to 109.73 km 2 .
暂无评论