CSI-model-based research on factors affecting rate satisfaction of government and corporate customers- taking special-line products as an example

2015 ◽  
Vol 12 (8) ◽  
pp. 183-189
Author(s):  
Xiaowen Li ◽  
Lili Tong ◽  
Zuohao Hui ◽  
Xiaoge Hou
Keyword(s):  
Factors Affecting ◽  
Model Based ◽  
Corporate Customers

scholarly journals Factors Affecting Radiation Dose in Computed Tomography Angiograms for Pulmonary Embolism: A Retrospective Cohort Study

2020 ◽  
Vol 10 ◽  
pp. 74
Author(s):  
Prashant Nagpal ◽  
Sarv Priya ◽  
Ali Eskandari ◽  
Aidan Mullan ◽  
Tanya Aggarwal ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Pulmonary Embolism ◽  
Radiation Dose ◽  
Care Center ◽  
Tertiary Care ◽  
Multivariate Logistic Regression Analysis ◽  
Factors Affecting ◽  
Model Based ◽  
Pulmonary Angiogram ◽  
The Mean

Objectives: Computed tomography pulmonary angiogram (CTPA) is one of the most commonly ordered and frequently overused tests. The purpose of this study was to evaluate the mean radiation dose to patients getting CTPA and to identify factors that are associated with higher dose. Material and Methods: This institutionally approved retrospective study included all patients who had a CTPA to rule out acute pulmonary embolism between 2016 and 2018 in a tertiary care center. Patient data (age, sex, body mass index [BMI], and patient location), CT scanner type, image reconstruction methodology, and radiation dose parameters (dose-length product [DLP]) were recorded. Effective dose estimates were obtained by multiplying DLP by conversion coefficient (0.014 mSv•mGy−1•cm−1). Multivariate logistic regression analysis was performed to determine the factors affecting the radiation dose. Results: There were 2342 patients (1099 men and 1243 women) with a mean age of 58.1 years (range 0.2–104.4 years) and BMI of 31.3 kg/m2 (range 12–91.5 kg/m2). The mean effective radiation dose was 5.512 mSv (median – 4.27 mSv; range 0.1–43.0 mSv). Patient factors, including BMI >25 kg/m2, male sex, age >18 years, and intensive care unit (ICU) location, were associated with significantly higher dose (P < 0.05). CT scanning using third generation dual-source scanner with model-based iterative reconstruction (IR) had significantly lower dose (mean: 4.90 mSv) versus single-source (64-slice) scanner with filtered back projection (mean: 9.29 mSv, P < 0.001). Conclusion: Patients with high BMI and ICU referrals are associated with high CT radiation dose. They are most likely to benefit by scanning on newer generation scanner using advance model-based IR techniques.

scholarly journals An Interaction Model for Resource Implement Complexity Based on Risk and Number of Annual Moves

2008 ◽  
Vol 73 (4) ◽  
pp. 599-625 ◽  
Author(s):  
Dwight Read
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Interaction Model ◽  
Growing Season ◽  
Food Resources ◽  
Factors Affecting ◽  
Model Based ◽  
Proxy Measure

Different hypotheses identifying factors affecting the complexity of implements used to obtain food resources by hunter-gatherer groups are assessed with regression analysis. A regression model based on interaction between growing season as a proxy measure for risk and number of yearly moves fits data on the complexity of implements for 20 hunter-gatherer groups. The interaction model leads to a division of hunter-gatherer groups into two subgroups that correspond to collector vs. forager strategies for procuring resources. Implications of the interaction model for the evolution of complex implements are discussed.

Factors affecting future demand for electric vehicles: A model based study

2012 ◽  
Vol 20 ◽  
pp. 62-74 ◽  
Author(s):  
Simon Shepherd ◽  
Peter Bonsall ◽  
Gillian Harrison
Keyword(s):  
Electric Vehicles ◽  
Factors Affecting ◽  
Model Based ◽  
Future Demand

scholarly journals Information dissemination model based on multi-dimensional node influence in social networks

2020 ◽  
Author(s):  
Haiming Wu ◽  
Ruigang Wang ◽  
Lixia Jia ◽  
Likui Feng ◽  
Xu Zhou
Keyword(s):  
Social Networks ◽  
Epidemic Model ◽  
Information Dissemination ◽  
State Transition ◽  
User Interaction ◽  
Multiple Linear Regression Model ◽  
Three Dimensions ◽  
Social Recommendation ◽  
Factors Affecting ◽  
Model Based

Abstract Social network has gradually become the mainstream way for people to obtain and interact with information. The study on the law of information dissemination in social networks is of great significance to enterprise marketing, public opinion control and social recommendation. This paper puts forward a method that use multi-dimensional node influence and epidemic model to illustrate the causes and rules of information dissemination in social networks. Firstly, based on the multiple linear regression model, a measurement method of node influence is proposed from three dimensions: topology, user interaction behavior and information content. Then, taking the node influence as the cause of state transition, the information dissemination model based on the epidemic model is constructed, and the multidimensional factors affecting the information dissemination are analyzed. Meanwhile, the information dissemination trend in social networks is described.

An Evaluation Model of Inundated Land Based on Income Approach - Residual Method

2012 ◽  
Vol 209-211 ◽  
pp. 1627-1630 ◽  
Author(s):  
Li Ming Wu ◽  
Xiao Yue Guo
Keyword(s):  
Evaluation Model ◽  
Market Value ◽  
Evaluation Methods ◽  
Land Evaluation ◽  
Value Assessment ◽  
Land Value ◽  
Factors Affecting ◽  
Residual Method ◽  
Model Based ◽  
Income Approach

On discussing the value of inundated land the paper points out the problems of existing land evaluation methods and analyses the factors affecting land evaluation as well as discusses the principle of land value assessment. On this basis, the paper put forwards a model based on income approach -- residual method to reflect the true market value of the inundated land.

scholarly journals A Short-Term Power Output Forecasting Model Based on Correlation Analysis and ELM-LSTM for Distributed PV System

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Deng Yongsheng ◽  
Jiao Fengshun ◽  
Zhang Jie ◽  
Li Zhikeng
Keyword(s):  
Correlation Analysis ◽  
Power Output ◽  
Short Term Memory ◽  
Rank Order ◽  
Influence Factors ◽  
Forecasting Model ◽  
Short Term ◽  
Pv System ◽  
Factors Affecting ◽  
Model Based

Accurate short-term power output forecasting results are conducive to reducing the scheduling difficulty of grid-connected operation of distributed photovoltaic (PV) systems, thus improving the safety and stability of power grid operation. In this paper, a one-day-ahead short-term power output forecasting model based on correlation analysis and combination algorithms for distributed PV system is proposed to solve the problems within the current methods. Firstly, the basic information of distributed PV system is introduced, and the main influence factors affecting the power output of distributed PV system are determined. Secondly, the influence factors with higher correlation with PV output are selected by Spearman rank-order correlation coefficient (SROCC) analysis in multiple timescales. Then, based on the multimodel univariate extreme learning machine (ELM) submodel and the single-model multivariate long short-term memory (LSTM) submodel, the ELM-LSTM model is established. The case study analysis based on the actual data indicates that the ELM-LSTM forecasting model proposed in this paper has higher forecasting accuracy than the traditional forecasting methods.

Research on the Construction of Three Levels of Customization Model Based on Human Engineering

2010 ◽  
Vol 37-38 ◽  
pp. 1088-1091
Author(s):  
Wei Jin An ◽  
Wen Ming Yang
Keyword(s):  
The Body ◽  
Individual Factors ◽  
Human Engineering ◽  
Characteristic Parameters ◽  
Factors Affecting ◽  
Model Based ◽  
Design Case ◽  
Increasing Demand ◽  
And Control ◽  
Mathematical Relationships

In order to satisfy increasing demand for personalized products, through analysis characteristic parameters of individual factors such as the various parts of the body size, body weight, body surface area, factors affecting the performance of the machine and their mathematical relationships, three levels of customization model based on human engineering by using mechanics and control theory was established to help designers to design personalized products, best meet customer's all aspects of demand. Finally, three levels of customization model was applied to Man-machine system (human-bicycle system for the design case) to show application of the model.

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