Will Academic Publication Improve the Quality of Doctoral Dissertation?

This article employs the regression analysis on the relation between the quality of doctoral dissertation and the number and quality of academic publication during the doctoral study as well as the time of first publication. The results indicate that the more the number of academic articles published in core journals, the higher the quality of the articles and the later the time of first academic publication, the more likely the Ph.D. candidates are to write high-quality dissertations

A Tentative Study of the Historical Themes in Toni Morrison’s Paradise

Paradise is Toni Morrison’s major work after her winning of the Nobel Prize which expresses complex themes and her hopes for the reconciliation between the black and the white. Race issue and the oppression of minorities are entrenched in American history which was reflected in the novel. This paper intends to analyze the themes of racism and oppression in terms of Ruby’s death and Delia’s fate from the historical perspective in search of Morrison’s ideal ‘Paradise’ which is inclusive, accessible to everyone

Research on Cognitive Translation Process: An Overview

Translation process is conceived as a cognitive activity and has been received less attention in early research due to the difficulty of lacking direct access to translators’ thinking process. But researchers still made attempts to describe this process. And hence this article reviews the previous research on cognitive translation process, in particular the research model. The article concludes that a descriptive approach to the investigation of the translation process should be adopted rather than a prescriptive approach

SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection

Vision-based vehicle detection approaches achieve incredible success in recent years with the development of deep convolutional neural network (CNN). However, existing CNN based algorithms suffer from the problem that the convolutional features are scale-sensitive in object detection task but it is common that traffic images and videos contain vehicles with a large variance of scales. In this paper, we delve into the source of scale sensitivity, and reveal two key issues: 1) existing RoI pooling destroys the structure of small scale objects, 2) the large intra-class distance for a large variance of scales exceeds the representation capability of a single network. Based on these findings, we present a scale-insensitive convolutional neural network (SINet) for fast detecting vehicles with a large variance of scales. First, we present a context-aware RoI pooling to maintain the contextual information and original structure of small scale objects. Second, we present a multi-branch decision network to minimize the intra-class distance of features. These lightweight techniques bring zero extra time complexity but prominent detection accuracy improvement. The proposed techniques can be equipped with any deep network architectures and keep them trained end-to-end. Our SINet achieves state-of-the-art performance in terms of accuracy and speed (up to 37 FPS) on the KITTI benchmark and a new highway dataset, which contains a large variance of scales and extremely small objects.Comment: Accepted by IEEE Transactions on Intelligent Transportation Systems (T-ITS

A New Single-blade Based Hybrid CFD Method for Hovering and Forward-flight Rotor Computation

AbstractA hybrid Euler/full potential/Lagrangian wake method, based on single-blade simulation, for predicting unsteady aerodynamic flow around helicopter rotors in hover and forward flight has been developed. In this method, an Euler solver is used to model the near wake evolution and transonic flow phenomena in the vicinity of the blade, and a full potential equation (FPE) is used to model the isentropic potential flow region far away from the rotor, while the wake effects of other blades and the far wake are incorporated into the flow solution as an induced inflow distribution using a Lagrangian based wake analysis. To further reduce the execution time, the computational fluid dynamics (CFD) solution and rotor wake analysis (including induced velocity update) are conducted parallelly, and a load balancing strategy is employed to account for the information exchange between two solvers. By the developed method, several hover and forward-flight cases on Caradonna-Tung and Helishape 7A rotors are performed. Good agreements of the loadings on blade surface with available measured data demonstrate the validation of the method. Also, the CPU time required for different computation runs is compared in the paper, and the results show that the present hybrid method is superior to conventional CFD method in time cost, and will be more efficient with the number of blades increasing

An Analysis of the Female Ideologies in Bunner Sisters from the Perspective of “Power-Over”

The idea of patriarchy makes the subordination and oppression of women by men visible and illegitimate. Starhawk labels the dominant and oppressive type of power that reinforces obedience in patriarchy power-over, an exploitative form of power that celebrates and encourages manipulation and a view of the world as mechanistic and disconnected. From the perspective of what Starhawk defines as “power-over”, this paper examines the female ideologies of the Bunner sisters – the passive victims of the patriarchal system – constructed under the influence of the patriarchal system in terms of such key elements as misplaced conception of culture and literacy, the “virtue” of self-abnegation and absolute obedience to and dependence on the authority which are deeply entrenched in the character of the two sisters