992 resultados para Montreal CMA


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[MacFarland #7 scores ihird goal for hat-trick]

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[Ensian caption: "Bill MacFarland and Jerry Karpinka ride in right on top of the goal as MacFarland completes a hat trick."]

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Title Varies: 1856-57, the Canadian Naturalist and Geologist. , the Canadian Naturalist and Geologist and Proceedings of the Natural History Society of Montreal. Conducted by a Committee of the Natural History Society; More

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Preceded by the Canadian Naturalist and Geologist (Called Later the Canadian Naturalist and Quarterly Journal of Science) 1856-83

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This article explores the social and cultural roles of ethnic print media in the country within the prism of Canada's multicultural policy. Specifically, the article examines how the ethnic groups are framed in the mainstream national media in Canada and then examines how these ethnic media are [re]constructing their own identities in contrast to their framed identities in the mainstream national print media such as the Globe and Mail, National Post and Toronto Sun. In exploring the overall socio-political impacts of these ethnic print media on the social fabrics and cultural identity in Canadian society, Montreal Community Contact, an ethnic newspaper of the black community in Montreal, is used as a case study. Copyright © 2006 SAGE Publications.

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The Montreal Cognitive Assessment (MoCA) is a brief instrument developed for the screening of milder forms of cognitive impairment, having surpassed the well-known limitations of the MMSE. The aim of the present study was to validate the MoCA as well as its short version, which was proposed by the NINDS-CSN VCI Harmonization Standards for screening Vascular Dementia (VaD) patients. The results, based on a homogeneous sample of 34 VaD patients, indicate that the MoCA is a psychometrically valid and reliable instrument for cognitive screening in VaD patients, showing excellent discriminant validity. Both the full and short versions of the MoCA had excellent diagnostic accuracy in discriminating VaD patients, exhibiting an area under curve (AUC) higher than the MMSE [AUC(MoCA full version) = .950; 95% IC = .868-.988; AUC(MoCA short version) = .936; 95% IC = .849-.981; AUC(MMSE) = .860; 95% IC = .754-.932]. With a cutoff below 17 on the MoCA full version and 8 on the short version, the results for sensitivity, specificity, positive and negative predictive values, and classification accuracy were superior compared to the MMSE. In conclusion, both versions of the MoCA are valid, reliable, sensitive and accurate screening instruments for VaD patients.

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Dissertação de Mestrado, Neurociências Cognitivas e Neuropsicologia, Faculdade de Ciências Humanas e Sociais, Universidade do Algarve, 2016

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Sending data between the construction site and an off-site design office is one of the more problematic areas in information technology for construction automation, particularly for construction defect management. The aim of this research is to investigate how mobile computing and new forms of human-computer interaction can be brought to bear on specific problems in construction management. The construction defect reporting system is one such application. Combining mobile and wireless computing technologies with a digital workbench, we have developed a system to facilitate remote telecollaboration between a construction site and an off-site engineering office. The application reported in this paper demonstrates how construction defect reporting can be streamlined by field collection of construction defect information using a mobile device and visualising the defect in a CAD model on a digital workbench in an engineering office. This paper reports on the design of the system and our tests of sending images from the construction site to the engineer’s office and positional accuracy of GPS for localization of the defect.

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SoundCipher is a software library written in the Java language that adds important music and sound features to the Processing environment that is widely used by media artists and otherwise has an orientation toward computational graphics. This article introduces the SoundCipher library and its features, describes its influences and design intentions, and positions it within the field of computer music programming tools. SoundCipher enables the rich history of algorithmic music techniques to be accessible within one of today’s most popular media art platforms. It also provides an accessible means for learning to create algorithmic music and sound programs.