Canadian press coverage of the ethnic Chinese community: A content analysis of The Toronto Star and The Vancouver Sun , 1970-1990.

This is a content analysis on the coverage of the ethnic Chinese community by The Toronto Star and The Vancouver Sun from 1970 to 1990. 783 news items were analyzed, representing all of 1990 and half of 1980 and 1970 reportage in both papers. Sampling differences were weighted for real numbers. Over time, coverage showed substantial increase in story number, length, layout, format, areas of interest and themes. Coverage growth in the 1980s far surpassed ethnic Chinese population growth, implying the new image of ethnic Chinese did not merely result from demographic expansion. This was made clearer by a sharp rise in economic and crime stories which broke a previous dominance of \u27soft,\u27 cultural stories. Such increases confirmed that the recent thriving of the Chinese community, especially economically, received more attention from the Canadian press and public opinion. Meanwhile, ethnic problems too were getting more concern. Coverage slant moved from patronizingly positive (75%) to mainly neutral but slightly positive. The Sun exceeded the Star in all aspects, including the neutralization of slant as well as the growth in quantity and variety. From the evidence, a double-sided picture of Canadian public opinion emerged: while a prosperous ethnic Chinese community caught the public eye, it also aroused uncertainty and provoked complaints. This trend was stronger in Vancouver, where the Chinese presence has existed longer and by greater proportions than in Toronto.Dept. of Communication Studies. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1993 .M253. Source: Masters Abstracts International, Volume: 32-02, page: 0382. Adviser: Christopher R. King. Thesis (M.A.)--University of Windsor (Canada), 1993

Bayesian multivariate poisson-lognormal regression for crash prediction on rural two-lane highways

textCivil, Architectural, and Environmental Engineerin

NONLINEAR INSTABILITIES IN MEM/NEM ELECTROSTATIC SWITCHES

The aim of this thesis is to develop suitable mathematical models for the purpose of investigating nonlinear instabilities in Micro-Electro-Mechanical (MEM) and Nano- Electro-Mechanical (NEM) electrostatic switches. The proposed models capture the influence of electric field fringing, intermolecular forces, surface stress and surface elasticity. Based on Euler-Bernoulli assumptions, a surface elasticity model and the generalized Young-Laplace equation, effects of surface stress and surface elasticity are incorporated in the models, while the intermolecular force effects are modelled using quantum mechanics. The derived governing equation representing static pull-in behaviour of switches is inherently nonlinear due to the driving electrostatic force and intermolecular forces which become dominant at nanoscale. Since no exact solutions are available for the resulting nonlinear differential equation, an approach based on homotopy perturbation method (HPM) is proposed to construct approximate analytical solutions, as well as to characterize the instability behaviour. Numerical solutions obtained via finite difference method (FDM) are employed for validating the analytical results. HPM in conjunction with Adomian decomposition method (ADM) has been employed for approximate analytical predictions. To this end, the solutions for the fourth-order two- point boundary value problem (BVP) representing MEM/NEM electrostatic switches are constructed in terms of a convergent series. The pull-in parameters, including pull-in voltage, detachment length and low-voltage actuation windows, are investigated in detail using the above methods and also via a lumped parameter model. HPM analytical solutions are found to be more accurate and reliable compared to those predicted via the lumped parameter model. HPM solutions also tend to overestimate the static deflection, and underestimate pull-in voltage and detachment length compared to the FDM numerical solutions. However, its relative differences to the FDM numerical solutions are within an acceptable range for design purposes. HPM is concluded to work well for the static pull-in in parameter determination, and is preferred since it is straightforward to implement and could save computation efforts while not losing accuracy. Predictions via HPM and FDM also revealed that the influence of surface effects on the pull-in instability of MEM/NEM switches is significant and the exclusion of surface effects in the analysis may result in an erroneous estimation of the pull-in parameters. Further, the concept of Casimir actuated switches is proposed for the purpose of ensuring the physical realization of a new class of the switchable devices using pure Casmir force actuation. To this end, a new idea of Casimir-force actuation window has been introduced for the purpose of ensuring designs that yield functional Casimir actuated switches. The present study is envisaged to be beneficial for the design and applications of MEM/NEM electrostatic as well as Casimir actuated switches. The methodology presented in this thesis may be also used for the analysis of actuation systems, which may involve other types of nonlinear actuation forces

Traffic Flow Density Distribution Based on FEM

AbstractIn analysis of normal traffic flow, it usually uses the static or dynamic model to numerical analyze based on fluid mechanics. However, in such handling process, the problem of massive modeling and data handling exist, and the accuracy is not high. Finite Element Method (FEM) is a production which is developed from the combination of a modern mathematics, mathematics and computer technology, and it has been widely applied in various domain such as engineering. Based on existing theory of traffic flow, ITS and the development of FEM, a simulation theory of the FEM that solves the problems existing in traffic flow is put forward. Based on this theory, using the existing Finite Element Analysis (FEA) software, the traffic flow is simulated analyzed with fluid mechanics and the dynamics. Massive data processing problem of manually modeling and numerical analysis is solved, and the authenticity of simulation is enhanced

Do less and achieve more: Training CNNs for action recognition utilizing action images from the Web

Recently, attempts have been made to collect millions of videos to train Convolutional Neural Network (CNN) models for action recognition in videos. However, curating such large-scale video datasets requires immense human labor, and training CNNs on millions of videos demands huge computational resources. In contrast, collecting action images from the Web is much easier and training on images requires much less computation. In addition, labeled web images tend to contain discriminative action poses, which highlight discriminative portions of a video’s temporal progression. Through extensive experiments, we explore the question of whether we can utilize web action images to train better CNN models for action recognition in videos. We collect 23.8K manually filtered images from the Web that depict the 101 actions in the UCF101 action video dataset. We show that by utilizing web action images along with videos in training, significant performance boosts of CNN models can be achieved. We also investigate the scalability of the process by leveraging crawled web images (unfiltered) for UCF101 and ActivityNet. Using unfiltered images we can achieve performance improvements that are on-par with using filtered images. This means we can further reduce annotation labor and easily scale-up to larger problems. We also shed light on an artifact of finetuning CNN models that reduces the effective parameters of the CNN and show that using web action images can significantly alleviate this problem.https://arxiv.org/pdf/1512.07155v1.pdfFirst author draf

Freeway Speeds and Speed Variations Preceding Crashes, Within and Across Lanes

Relationships between speed choice and crash occurrence have been difficult to identify. This work examines vehicle speeds (and their variations) derived from single loop detectors for several Southern California freeways, within and across freeway lanes, together with corresponding crash data. While a variety of factors clearly influence speed and speed variance, there is no evidence in these crash data sets, and observations of their corresponding series of 30-second traffic conditions, that speeds or their variation trigger crashes

99Tcm-N(NOEt)2 Uptake Kinetics Difference among KMB17 Human Embryonic Lung Diploid Fibroblast and Different Human Lung Cancer Cells

Background and objective PET/CT imaging is expensive, so searching the tumor imaging agent for SPECT/CT is necessary. 99Tcm-N(NOEt)2 [bis (N-ethoxy-N-ethyl dithiocarbamato) nitrido99Tcm (V)] can be uptaken by lung cancer cells and other cells alike. The aim of this study is to evaluate the distinctive value in lung tumor with 99Tcm-N(NOEt)2, the difference in its uptake kinetics in human embryonic lung diploid fibroblasts KMB17 and several kinds of lung cancer cells lines. Methods Firstly, six different cell culture medium which contained YTMLC Gejiu human lung squamous carcinoma cell, SPC-A1 human lung adenocarcinoma cell, AGZY low metastatic human lung adenocarcinoma, 973 high metastatic human lung adenocarcinoma cell, GLC-82 Gejiu human lung adenocarcinoma cell, and KMB17 human embryonic lung diploid fibroblast, respectively with equal cell density of 1×106/mL and the same volume were prepared; secondly, the same radioactive dose of 99Tcm-N(NOEt)2 was added into each sample and then 300 μL mixed sample was taken out respectively and cultured in 37 oC culture box; Finally, 5 min, 15 min, 30 min, 45 min, 60 min, 75 min, 90 min after cultivation, centrifuged each cultured sample and determined the intracellular radiocounts of each sample, calculated each cell sample’s uptake rate of 99Tcm-N(NOEt)2 at different time. Results Statistical difference was found among six cell samples, and the uptake rate sequence from high to low is 973 and SPC-A1>YTMLC>GLC-82>AGZY>KMB17 respectively; furthermore, 30 min-45 min after culture, the uptake rate reached stability, and the 45 min uptake rate of each sample was higher than its 96.7% uptake peak. Conclusion Based on the results above mentioned, it is supposed that there are discriminative clinical value when using 99Tcm-N(NOEt)2 as a tumor targeting imaging agent, and 30 min or so after injection may be the best imaging time in the early imaging stage