Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

30156 projets achevés

2861
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5059
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812
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673
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842
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8957
ON
9368
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96
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579
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1120
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Projets par catégorie

Streptococcus suis et ses relations avec la barrière intestinale porcine

La relation de l’agent pathogène zoonotique, Streptococcus suis (Ssuis), avec la barrière intestinale est encore mal connue et mérite d’être étudiée. Il semblerait que certaines souches de Ssuis puissent traverser la barrière intestinale dans certaines circonstances. Le but du projet présenter ici est de mieux comprendre les interactions que Ssuis peut établir avec la barrière intestinale porcine et de préciser des circonstances pouvant favoriser le passage de la bactérie. Nous commencerons par utiliser des lignées cellulaires pour passer ensuite à l’utilisation d’organoïdes dérivés de différentes sections de l’intestin avant d’aller plus loin dans la complexité des interactions en utilisant le modèle des anses intestinales ligaturées. Les recherches permettront de mieux comprendre les voies d’invasion possible de Ssuis dans l’hôte porcin. Ssuis étant un agent pathogène zoonotique les observations faites chez le porc ont aussi un intérêt par rapport à l’étude des relations Ssuis/espèce humaine.

Voir la description complète du projet
Superviseur du corps professoral :

François Meurens

Étudiant :

Partenaire :

Institut national de recherche pour l’agriculture, l’alimentation et l’environnement

Discipline :

Life Sciences

Secteur :

Life Sciences (not health); Health and Related Sciences & Technology; Agriculture and Food

Université :

Université de Montréal

Programme :

Globalink Research Award

Implantation d’une batterie d’évaluation multidimensionnelle du joueur de tennis en développement

Cette recherche vise à implanter une batterie d’évaluation complète pour les jeunes joueurs de tennis afin de mieux comprendre et améliorer leurs compétences. Le projet prévoit des tests variés, qui mesureront des aspects techniques, tactiques, physiques et psychologiques des athlètes. Adaptés selon l’âge et le niveau de compétition, ces tests seront pratiqués sur un large groupe de joueurs pour déterminer les domaines à développer et les facteurs de réussite. Les résultats serviront à améliorer le développement des jeunes joueurs et pourraient transformer la manière dont les entraîneurs accompagnent leurs athlètes.

Voir la description complète du projet
Superviseur du corps professoral :

Jonathan Tremblay;Joe Baker

Étudiant :

Partenaire :

Tennis Québec

Discipline :

Life Sciences

Secteur :

Arts, entertainment and recreation

Université :

Université de Montréal

Programme :

Accelerate

Empathy and synchronization in social and non-social contexts

Synchronization with others appear to promote empathy and people with higher empathy are better at synchronizing to others. Why there is this bidirectional relationship between empathy and synchronization is unclear, but a prevailing theory suggests that the ability to perceive yourself as another (i.e., internal simulation) is responsible. The current study will help in understanding the role of empathy and why it may be related to synchronization by testing whether it is only linked to synchronization in social contexts (e.g., synchronizing with another person) where internal simulation can occur compared to synchronization in non-social contexts (e.g., synchronizing with an object). Motion capture will be used to measure the participant’s movement and synchronization to the person or object and measures of empathy will be collected from participants. If empathy is only associated with synchronization in a social context, there is support for the idea that empathy affects synchronization through internal simulation.

Voir la description complète du projet
Superviseur du corps professoral :

Jessica Grahn

Étudiant :

Partenaire :

University of Oslo

Discipline :

Sociology

Secteur :

Other

Université :

The University of Western Ontario

Programme :

Globalink Research Award

Seismic Behaviour of Mass Timber Beam Hanger Connections

The need for more sustainable buildings has driven demand for tall mass timber structures in Canada. However, these structures must be designed to prevent structural collapse and protect human life in the event of a large earthquake. As a result, it is crucial that the structural members and their connections be designed to have sufficient capacity to prevent brittle failure and ensure life-safety during an earthquake. The goal of this project is to leverage the relationship between MTC Solutions and Queen’s University to advance the scientific understanding of how mass timber beam-column connections behave under earthquake loads, specifically focusing on pre-engineered beam hanger connections. This understanding will be developed by validating computer models that will be used to equip engineers with the tools and design approaches they need to ensure mass timber connections are safe under earthquake loads.

Voir la description complète du projet
Superviseur du corps professoral :

Joshua Woods

Étudiant :

Partenaire :

MTC Solutions

Discipline :

Engineering

Secteur :

Construction; Sustainability & the Environment; Forestry

Université :

Queen's University

Programme :

Accelerate

Machine learning-based beam management algorithms for space communications.

The spectrum environment for the satellite communications industry is becoming congested, contested, and complex due to increasingly massive constellation deployments. Newly activated terminals can take a long time to find and establish a link with their desired satellite, resulting in significant downtime. Beamforming is a key method for producing high-data rates and efficient communication links. However, a drawback is that the beam management procedures incur latencies and can result in radio link failures. As such, the interns of this project will explore and design low-latency and efficient beam management techniques that leverage machine learning (ML). The intent is to produce models that could be deployed to satellites and terminals which would automatically and passively detect its counterpart and configure for optimal operation. The resulting research is expected be used by Qoherent to develop technologies that achieve efficient, low-latency, and high throughput space communications.

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Superviseur du corps professoral :

Hatem Abou-Zeid

Étudiant :

Partenaire :

Qoherent

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Calgary

Programme :

Accelerate

Exercising together: The Perception of Exertion in Others

Physical activities, such as running, cycling, and weightlifting, are typically associated with a subjective feeling of exertion. Such perception of exertion is generally defined as “how heavy and strenuous a physical task is”. People’s subjective feelings of exertion is strongly associated with the task intensity and their energy expenditure. People also often exercise together, both collaboratively and competitively, and the exertion experienced by the partner plays an important role in the enjoyment and motivation of the exercise experience. The current project aims to study perceived exertion in others. Knowing how one perceive exertion in others and how it influences exercisers will allow us to improve exercise experience and potentially increase exercise adherence.

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Superviseur du corps professoral :

James Enns

Étudiant :

Partenaire :

Lululemon

Discipline :

Sociology

Secteur :

Manufacturing; Retail trade

Université :

The University of British Columbia

Programme :

Accelerate

MRI Quantification for Predicting Post Stroke Motor Functions

Stroke is a leading cause of adult disability. Stroke results in neural damage to the brain and subsequent physical, cognitive, and affective impairments. Motor impairment after stroke is common and affects around 80% of patients. A primary concern immediately after stroke for patients, their relatives, and their caregivers is the prospect of recovery in the future. The motor impairments caused by stroke affect patients’ ability to live independently, and return to their family, social, and professional roles. Recovery of movement is crucial to regaining independence and primarily occurs during the first six months after stroke. Physical rehabilitation is the most effective way to promote adaptation and compensation for impairments, reduce disability and enhance independence. Being able to predict likely motor outcomes soon after stroke could support clinicians, patients and families to set appropriate goals for treatment and rehabilitation. Structural brain MRI brain data will be used to calculate the volumetric measurements such as, stroke lesion size and location, brain volumes, grey matter and white matter volumes, subcortical volumes, cortical thickness, cortical surface area, etc.

Voir la description complète du projet
Superviseur du corps professoral :

Sam Nakhla

Étudiant :

Partenaire :

University of Auckland

Discipline :

Engineering

Secteur :

Biotechnology; Health and Related Sciences & Technology

Université :

Memorial University of Newfoundland

Programme :

Globalink Research Award

Leveraging Stacks of Predictors for Efficient Inference and Uncertainty Estimation

Given the ever growing neural networks being developed and the abundant empirical evidence that model/data scale play an important role in enabling high-quality models of data, inference cost becomes a bottleneck to the deployment of state-of-the-art automated predictors. To address that, this research project aims to develop algorithms that can predict outcomes by combining predictions from different layers of a large-scale model. By using layerwise confidence scores, the algorithm can determine if a prediction is accurate enough to output a prediction early. The project will rely on self-ensembling approaches to improve accuracy and confidence scores by voting at different levels of a model stack. This approach can significantly enhance the efficiency of the inference process, particularly for easy examples whose labels can be determined in the initial layers, yielding faster and more accurate predictions, and improved uncertainty estimates.

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Superviseur du corps professoral :

Ioannis Mitliagkas

Étudiant :

Partenaire :

ServiceNow Canada

Discipline :

Computer science

Secteur :

Artificial Intelligence; Information and Communications Technology; Cyber Security

Université :

Université de Montréal

Programme :

Accelerate

Une solitude double : Les résultats de la réinstallation communautaire des réfugié.e.s LGBTQ+ en France

Des multiples défis mondiaux alimentent la croissance des personnes déplacées de force en quête de protection. Quelques pays – dont le Canada et la France – ont développé des programmes de parrainage privés et communautaires qui tirent parti de l’impulsion citoyenne d’aider des réfugiés. Ces deux pays accordent la priorité à la réinstallation des personnes jugées « très vulnérables », y compris les personnes LGBTQ+. Cependant, les expériences des réfugiés LGBTQ+ réinstallés sont mal comprises en raison de recherches inadéquates. Plus précisément, la façon dont la queerphobie combinée avec la xénophobie empêche les personnes LGBTQ+ de trouver un sentiment d’appartenance dans leurs communautés d’accueil est mal comprise. Ce projet étudiera le modèle de réinstallation communautaire en France pour examiner comment les réfugiés LGBTQ+ naviguent dans leurs espaces de réinstallation. Les méthodes comprennent des entretiens semi-structurés; l’observation participative; et des ateliers de cartographie créative avec des réfugiés LGBTQ+. Les résultats initieront un dialogue entre les acteurs de réinstallation au Canada et en France et aideront les décideurs politiques et les fournisseurs de services à atteindre leurs objectifs déclarés dans la réinstallation des réfugiés vulnérables.

Voir la description complète du projet
Superviseur du corps professoral :

luna Vives

Étudiant :

Partenaire :

Université Grenoble Alpes

Discipline :

Sociology

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

City – PSI Partnership Pathway Explorations

Collaboration and Capacity building are required to engage with the challenges and benefits of technical expertise within, and available to, municipal politics and policy, the challenges and benefits of both representative and direct democracy, and the existence of multiple sources of knowledge, including the social sciences, Indigenous knowledges, and local knowledge. This project is the first step in addressing these challenges in southern Alberta, through the development of a robust and long-term partnership and collaborative space between the University of Lethbridge, the City of Lethbridge, and the Prentice Institute for Global Population and Economy.
Municipal government presents both the greatest opportunity for local and evidence-based responses grounded responses, but also some of the greatest challenges in terms of public perception, engagement (whether electoral or otherwise), fiscal policy, population equity, and the broader trends of neoliberal devolution.
To ensure that cities and local governments can affectively respond to these opportunities, and to these challenges, city managers, planners, and elected officials, need up-to-date, relevant, and rigourous information from any number of different sectors and sources..

Voir la description complète du projet
Superviseur du corps professoral :

Lars Hallstrom

Étudiant :

Partenaire :

City of Lethbridge

Discipline :

Sociology

Secteur :

Public administration

Université :

University of Lethbridge

Programme :

Accelerate

Effectiveness of various non-antibiotic topical products for the treatment of digital dermatitis as an alternative to tetracycline.

Digital dermatitis is a highly contagious hoof disease in dairy herds. If left untreated it often results in severe lameness, and is highly contagious between animals. In Québec, a recent study showed that 64% of the participating herds had at least one case of digital dermatitis with prevalence variations from 0 to 84% in herds. Initially, treatment was performed with antibiotics, but currently, non-antibiotic products are sought, considering residues in milk and animal products, and the resistance to some antibiotics. Different topical products are currently available in Québec for the treatment and/or control of digital dermatitis. Most of those products are the results of the empirical experience of users. The topical application of the antibiotic’s tetracycline has been demonstrated to be effective for treating digital dermatitis and is generally considered as the gold standard treatment. However, the use of this antibiotic is limited to avoid contamination of the milk and this is an extra label use of tetracycline. The main objective of this project is to evaluate the effectiveness of various non-antibiotic topical products for the curative treatment of digital dermatitis as an alternative to the current antibiotic treatment used.

Voir la description complète du projet
Superviseur du corps professoral :

André Desrochers

Étudiant :

Partenaire :

Universidade Estadual Paulista "Julio de Mesquita Filho"

Discipline :

Life Sciences

Secteur :

Agriculture and Food; Sustainability & the Environment

Université :

Université de Montréal

Programme :

Globalink Research Award

Using machine learning to predict and attribute mortality to non-adherence to medication among patients with asthma and/or COPD

This project has two objectives. At the individual level, we propose to develop, using artificial intelligence, a predictive tool useful in the doctor-patient relationship. It will indicate the five-year risk of death for asthma and COPD patients based solely on individual electronic information already recorded by the provincial health insurance organism: sociodemographic factors and the history of adherence to each prescribed medication. At the population level, we will estimate the proportion of deaths among asthma and COPD patients that could be prevented by better medication adherence. This estimate will be particularly useful for public policy managers when allocating public resources to preventive measures.

Voir la description complète du projet
Superviseur du corps professoral :

Lucie Blais

Étudiant :

Partenaire :

AstraZeneca Canada Inc

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

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