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Projets par catégorie

Are stories just as transporting in your foreign language?

Individuals from diverse backgrounds are routinely exposed to a second language, whether it is through formal education, within the community, or at home. As such, many individuals are consuming stories in a language other than their native tongue. Although past research has shown that sequential bilinguals typically report weaker emotional experiences when processing emotional content in their second language (Pavlenko, 2012), there is little to no research on how processing a story in a second language influences how engaged we are in a storyline and its characters. Hence, the proposed study will recruit French-English bilinguals who will read a story in either French (first language) or English (second language) followed by a measure of narrative transportation in each language. Based on previous findings from the emotion literature, it is hypothesized that reading a story in a second language will elicit lower scores in narrative transportation. Such findings will have implications for media consumption, literacy, and education.

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Superviseur du corps professoral :

Ellen Bialystok

Étudiant :

Partenaire :

University of Fribourg

Discipline :

Sociology

Secteur :

Education

Université :

York University

Programme :

Globalink Research Award

Accelerated Generative Adversarial Networks

L’un des défis majeurs dans le domaine de l’intelligence artificielle est la disponibilité de larges banques de données utilisables pour entraîner les différents types de modèles. Les « Generative Aversarial Networks » (GANs) sont des algorithmes d’intelligence artificielle récemment développés qui permettent de générer des exemples échantillons d’apprentissage pour divers algorithmes d’intelligence artificielle dans des cas où les données d’entraînement ne sont pas disponibles ou ne sont pas assez nombreuses. Un GAN comprend généralement deux parties : un réseau de neurones générateur(G) et un réseau discriminant (D). La famille des GANs est la famille la plus connue des modèles génératifs. Le premier GAN a été introduit par Goodfellow et al. dans lequel le discriminateur et le générateur doivent être entraînés simultanément, un processus qui converge très lentement. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Sofiane Achiche

Étudiant :

Partenaire :

RMIT University

Discipline :

Engineering

Secteur :

Education

Université :

Polytechnique Montréal

Programme :

Globalink Research Award

Asymmetry of Resolved Galaxy Properties

To analyze spectroscopic images of galaxies, astronomers often assume galaxies are azimuthally symmetric and compress that information into a radial profile. However, it has not been tested whether different spectroscopically derived properties adhere to this axisymmetric assumption. In particular, recent studies have found that star-formation and gas metal content in galaxies is not always symmetric about the galaxy’s center, particularly for galaxies undergoing a close interaction with another galaxy of a similar size. We endeavor to measure the asymmetry of galaxies in the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) spectroscopic imaging survey. From this sample we will verify whether or not the majority of galaxy properties in such surveys can be considered axisymmetric, and identify the cases where asymmetry is large enough to caution against employing radial profiles. TO BE CONT’D

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Superviseur du corps professoral :

Sara Ellison

Étudiant :

Partenaire :

University of Cambridge

Discipline :

Physics

Secteur :

Education

Université :

University of Victoria

Programme :

Globalink Research Award

Entre neurosciences et droit. Le cerveau adolescent moyen du laboratoire au tribunal

Le présent projet s’intéresse aux manières dont les savoirs neuroscientifiques sur le développement du cerveau moyen adolescent circulent des laboratoires de recherche aux tribunaux. Au cours des derniers mois, j’ai réalisé une série d’entretiens aux États-Unis auprès d’acteurs impliqués dans la construction et la diffusion de ces savoirs. Je souhaite à présent me rendre en France afin de déterminer comment les savoirs produits outre-Atlantique sont intégrés ou tenus à l’écart des débats entourant la justice des mineurs. J’intégrerai l’axe de recherche Science et cognition du GÉMASS, un laboratoire de recherche prestigieux regroupant de nombreux chercheurs reconnus internationalement. Mes deux objectifs principaux seront d’une part de m’entretenir avec des acteurs scientifiques et du milieu de la justice des mineurs, et d’autre part, de participer à la vie intellectuelle du GÉMASS. Le discours des acteurs français me permettra de mieux saisir les forces sociales et culturelles nationales qui favorisent ou s’opposent à l’intégration des savoirs scientifiques sur le développement cérébral adolescent dans le contexte de la justice pénale. L’intégration du GÉMASS me permettra d’échanger, d’établir des collaborations et de diffuser les résultats préliminaires de cette recherche.

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Superviseur du corps professoral :

Nicolas Sallée

Étudiant :

Partenaire :

Sorbonne Université

Discipline :

Sociology

Secteur :

Biotechnology

Université :

Université de Montréal

Programme :

Globalink Research Award

Quantitative biomarkers from Magnetic Resonance Imaging

Magnetic Resonance Imaging (MRI) is the non-invasive method of choice for diagnosing and studying neurodegenerative diseases such as multiple sclerosis (MS). However, conventional MRI that is currently used in clinics cannot provide a reliable measure of neuronal health. More specifically, it cannot distinguish healthy from diseased myelin, a key component of neuronal tissue that is damaged in MS causing functional deficits such as paraplegia or decreased visual acuity. Advanced quantitative MRI (qMRI) methods such as relaxometry, diffusion MRI and magnetization transfer are sensitive to myelin changes but are rarely performed in clinics due to technical challenges, such as long acquisition times.
The goal of my internship will be to explore the potential of a novel fast quantitative MRI technique called synthetic MRI. TO BE CONT'”D

Voir la description complète du projet
Superviseur du corps professoral :

Julien Cohen-Adad

Étudiant :

Partenaire :

Karolinska Institute

Discipline :

Computer science

Secteur :

Education

Université :

Polytechnique Montréal

Programme :

Globalink Research Award

Modélisation du devenir du phosphore et du calcium alimentaire chez la truie

L’objectif principal de ce projet est d’améliorer les connaissances sur le devenir du phosphore (P) et les facteurs interférents et d’utiliser ses connaissances pour développer un modèle mathématique représentant le devenir du P et du calcium (Ca) alimentaires chez la truie afin d’optimiser leur utilisation, de mieux définir les priorités de recherche et d’établir des recommandations minérales. Plus spécifiquement, les objectifs sont d’améliorer le bien-être et la longévité des truies et la durabilité de la production en: 1) Adaptant le modèle du devenir du phosphore et du calcium alimentaires développés chez le porc en croissance à la truie, 2) Explorer et acquérir des informations essentielles sur le métabolisme phosphocalcique, 3) simuler le remodelage des réserves osseuses chez les truies, et 5) établir des stratégies optimales d’alimentation en P et Ca en utilisant le modèle développé.

Voir la description complète du projet
Superviseur du corps professoral :

Marie-Pierre Létourneau Montminy

Étudiant :

Partenaire :

Agroscope

Discipline :

Life Sciences

Secteur :

Education; Professional, scientific and technical services

Université :

Université Laval

Programme :

Globalink Research Award

The Construction of Labour Markets: The Evolution of Labour Market Policy in Canada and Australia

My research examines the relationship between business, labour, and the state over the development and regulation of labour markets. For my dissertation I am proposing a comprehensive case study of the trajectory of Canadian and Australian labour market regulation over the post-war period. I adopt a broad understanding of labour market policy comprising employment/industrial relations, education and training, and economic migration. Combined, it can be said that these three areas of government regulation function to construct nationally specific labour markets. Moreover, this broader approach will allow me to focus not only the various fields themselves, but also on the tensions between them and how these are managed by policy-makers. Theoretically, I am interested in investigating the nature of contemporary neoliberal restructuring in these areas. TO BE CONT’D

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Superviseur du corps professoral :

Thomas R Klassen

Étudiant :

Partenaire :

University of Sydney

Discipline :

Sociology

Secteur :

Education

Université :

York University

Programme :

Globalink Research Award

Value Engineering Feasibility Study for System Controller Chassis/Connector Redesign

Electronic assemblies are used to control various systems in an aircraft. Under normal operating conditions, these undergo vibration, and therefore have an expected life span. Different designs are analyzed to reduce production cost, and these designs must ensure that the electronic components contained within the hardware can tolerate the same operating conditions without failure. With time continuous research projects are being conducted to produce products with the same quality and lower costs, and this is one of them.

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Superviseur du corps professoral :

Kamran Behdinan

Étudiant :

Partenaire :

Honeywell Canada (Mississauga, ON);University of Toronto

Discipline :

Engineering

Secteur :

Aerospace

Université :

University of Toronto

Programme :

Accelerate

Thermal Performance Study of Switch Module Redesign

Thermal analysis is performed on a proposed design change on electronic assembly to ensure that it meets customer requirements (temperature ranges) and is a more cost-effective design. Such design change should be cost efficient. The important aspect, in addition to the design, is interacting with different engineers at different positions in the company. Working with mechanical engineers and suppliers in achieving such targets and ensuring the work done is viable and on track. Furthermore, creating a technical report at the end that outlines the processes taken, the results obtained and whether the new design is satisfactory, cost wise and thermally.

Voir la description complète du projet
Superviseur du corps professoral :

Kamran Behdinan

Étudiant :

Partenaire :

Honeywell Canada (Mississauga, ON);University of Toronto

Discipline :

Engineering

Secteur :

Aerospace

Université :

University of Toronto

Programme :

Accelerate

Evaluation of “Steps to Success Community Learning and Wellness Program” at the City of Brantford, Ontario

The Steps to Success internship will provide a graduate student and two undergraduate research assistants with an opportunity to immerse themselves in a government and community context that is addressing a complex social issue. Early anecdotal evidence indicates that the Steps to Success program has much to offer individuals and families facing complex challenges with the potential to impact change at individual, family, and social network levels across a wide range of domains. The intern will learn about poverty reduction and multi level community change strategies through immersion. The intern will observe community programs and have an active role as an evaluator consulting with key stakeholders: program staff and participants. The intern will facilitate the collaborative, participatory development of an effective evaluation plan for the City of Brantford to building organizational and community capacity to generate empirical evidence re: program impacts.

Voir la description complète du projet
Superviseur du corps professoral :

Terry Mitchell

Étudiant :

Partenaire :

City of Brantford

Discipline :

Sociology

Secteur :

Public administration

Université :

Wilfrid Laurier University

Programme :

Accelerate

Effects of short-term uncertainty on PPP sewage treatment Revenue

In my project I will study the effect of short-term uncertainty on the PPP sewage treatment revenue. Through my research, I want to give answers to following questions: Why actual revenue deviates from estimated revenue? Does the existing model properly simulate the stochastic process of PPP revenue? and How does short-term uncertainty influence the PPP revenue?
The ultimate goal of this proposed research is to enhance the existing BS model for more accurate value estimation in the PPP project planning. This is to be achieved by proving the PPP revenue can be modeled by a mixed stochastic process using the data back testing method and investigating the effect of each relevant variable in the short-term uncertainty model on the revenue estimation through a sensitivity study. The results provide useful insights for policy and decision-making in countries that are considering new PPP sewage treatment investment.
A final report that summary the research results and research outcome will be submitted.

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Superviseur du corps professoral :

Zaiyi Liao

Étudiant :

Partenaire :

China Three Gorges University

Discipline :

Engineering

Secteur :

Education

Université :

Toronto Metropolitan University

Programme :

Globalink Research Award

Methodology development for the non-destructive quality assessment of joints in polyethylene pipes based on ultrasound technology

The use of polyethylene (PE) plastic pipes for transporting gas and water has increased over the last few decades. The quality assessment and overall safety of the PE pipe networks have been of high priority for the distribution companies. The existing technology is somewhat complicated to use quickly and effectively by less experienced personnel. The proposed research study goal is to revise and evaluate the newest technological solutions for joint testing and propose a methodology that can address industry needs. The investigation will be focused on three areas involving ultrasound technology development, mechanical testing and an artificial intelligence (AI) algorithm for classification. It is believed that the interdisciplinary approach to the problem and proposed methods will result in an expected outcome and will create a long-term positive impact on the industry.

Voir la description complète du projet
Superviseur du corps professoral :

Roman Maev

Étudiant :

Partenaire :

InDepth Inspection Technologies Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Windsor

Programme :

Accelerate

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