Projets novateurs réalisés

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

29 670 projets achevés

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801
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568
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Projets par catégorie

Études d’effecteurs de la rouille du peuplier

La rouille du peuplier fait des ravages au Canada mais encore plus en France. La biologie de cette maladie causée par un champignon basidomycète est assez incomprise, néanmoins nous avons identifié un groupe d’effecteurs ciblant tous le chloroplaste, et certains de ceux-ci affectent fortement la susceptibilté de la plante au pathogène. Une meilleure compréhension de ce mécanisme serait la première étape permettant de développer des plantes plus résistantes afin de protéger les plantations candiennes et françaises.

Voir la description complète du projet
Superviseur du corps professoral :

Hugo Germain

Étudiant :

Partenaire :

Université de La Rochelle

Discipline :

Life Sciences

Secteur :

Education

Université :

Université du Québec à Trois-Rivières

Programme :

Globalink Research Award

La brigade débarcadère: mieux accompagner nos élèves vers la sécurité routière

Le présent projet a pour objectif d’évaluer les impacts de l’implantation d’une brigade débarcadère aux abords d’écoles primaire sur la sécurité routière des élèves qui les fréquentent. Par l’utilisation d’observations sur le terrain à l’aide de grilles d’évaluation, l’équipe de recherche pourra mesurer les effets de telles brigades sur les comportements routiers aux abords des écoles et, plus précisément, sur l’adoption de mode de transport actif. Le tout permettra l’identification des conditions préalables requises pour l’implantation de telles brigades pour les écoles désireuses de déployer celles-ci.

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Superviseur du corps professoral :

Martin Lavallière;Marie-Soleil Cloutier;Marie-Soleil Cloutier;Martin Lavallière

Étudiant :

Partenaire :

Fondation CAA-Québec

Discipline :

Sociology

Secteur :

Other services (except public administration); Transportation and warehousing

Université :

Université du Québec : Institut national de la recherche scientifique; Université du Québec à Chicoutimi

Programme :

Accelerate

Development of a topical pain mitigating product for severe hoof lesions in cattle

Lameness is one of the top welfare problems in dairy cattle and is often caused by hoof lesions. The aim of the current project is to develop and validate the use of a topical pain mitigating product to provide analgesia to cattle undergoing hoof-trimming with severe hoof horn lesions. To achieve this objective a topical lidocaine-based product will be formulated and tested for its pain mitigation effects in lame dairy cows affected by painful hoof horn lesions. The expected benefits of this project are the creation of an additional tool to help improve cattle welfare and, for the partner organization, independent scientific proofs of their product efficacy.

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Superviseur du corps professoral :

Marianne Villettaz-Robichaud;André Desrochers

Étudiant :

Partenaire :

Solvet Animal Health

Discipline :

Life Sciences

Secteur :

Agriculture and Food; Health and Related Sciences & Technology

Université :

Université de Montréal

Programme :

Accelerate

Évaluation de la prise en charge des spasmes infantiles

Les spasmes infantiles constituent un syndrome épileptique unique à la petite enfance, caractérisé par des spasmes généralisés
avec une régression neurodéveloppementale. Lorsque les spasmes épileptiques résistent aux traitements médicamenteux, des
approches chirurgicales doivent être envisagées. Il y a une pénurie de données sur (1) qui sont les candidats idéaux, (2) quand
les patients devraient être considérés pour une chirurgie et (3) comment le traitement chirurgical se compare aux divers
traitements pharmacologiques en termes d’efficacité et de risques. Nous cherchons à (1) identifier les résultats (absence de crise,
qualité de vie liée à la santé) chez les patients atteints de spasmes infantiles traités pharmacologiquement et chirurgicalement.

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Superviseur du corps professoral :

Alexander Weil

Étudiant :

Partenaire :

Université de Lausanne

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

Université de Montréal

Programme :

Globalink Research Award

BrokerAID Risk Assessment Automation System

This project focuses on developing UW InsureTech’s deep learning product to help the broker to optimize their current clients’ group and also help them to predict the potential risk and cost-benefit values. This service will help brokers to give better service to their target customers, monitoring the risks involved. Brokers can do more upsell and cross-sell on high-value customers to earn more profit. Planning alternative strategies for the low-value customers, who will cost brokers a lot of time without generating any profit. The system predicted results will be valuable to both brokers and the insurance company, delivering client-based services.

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Superviseur du corps professoral :

Irene Cheng

Étudiant :

Partenaire :

UW InsureTech

Discipline :

Computer science

Secteur :

Finance and Insurance

Université :

University of Alberta

Programme :

Accelerate

Design and Characterization of a Universal Sample Introduction System for Direct Analysis of Solid and Liquid Samples with ICP-MS

A universal sample introduction system will be developed in this project for direct analysis of solid and liquid samples with inductively coupled plasma mass spectrometry (ICP-MS). There are many applications in which on-site analysis of samples in their original form is of great interest. Examples include the inspection of soil for possible contamination in the environmental applications, or analysis of ores for discovery and excavation of critical metals and minerals for battery and electronic industries. Currently, the ICP-MS technology is limited to lab-based applications only and involves cumbersome sample preparation procedures. The new sample introduction system will enable, for the first time, in-field analysis of solid samples with ICP-MS by significantly simplifying the workflow and sample preparation steps, while shortening analysis turnaround, improving accuracy, and minimizing the loss of sample.

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Superviseur du corps professoral :

Ali Dolatabadi;Javad Mostaghimi

Étudiant :

Partenaire :

Kimia Analytics Inc.

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Toronto

Programme :

Accelerate

Predicting readmission and recovery rates of psychiatry patients in mental health facilities within Canada: A machine learning approach

Hospital readmission from in-patient psychiatry is increasingly problematic for patients and care administrators, as they often are associated with poor clinical outcomes and higher care costs. An understanding of factors that predispose in-patient psychiatry patients to hospital readmission would be critical in improving patient care and reducing healthcare-related costs.
My research proposes to use machine learning methods to determine factors predictive of hospital readmission among in-patient psychiatry patients. Machine learning techniques are increasingly useful in healthcare delivery because of the advantage they have over traditional analytic techniques.
Developing machine learning pipelines related to this project will allow me to obtain practical knowledge both in the public health field and artificial intelligence research areas. This research project will also enhance the establishment of collaboration between my home advisor and the University of Waterloo, enabling access to existing academic sources, datasets, and computational resources.

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Superviseur du corps professoral :

John P. Hirdes

Étudiant :

Partenaire :

National Technical University of Ukraine

Discipline :

Sociology

Secteur :

Artificial Intelligence; Health and Related Sciences & Technology

Université :

University of Waterloo

Programme :

Globalink Research Award

Understanding Event-based Interactions in Enterprise Web Applications

JavaScript is widely used today to create interactive web applications that replace many traditional desktop applications. However, understanding the behaviour of web applications is a challenging endeavour for developers. Despite its importance and challenges, there is currently not much research dedicated to supporting program comprehension for web applications and popular industrial tools, such as Firebug and Chrome DevTools, are limited in their capabilities to support web developers effectively. In this work, we propose to extend our web application comprehension technique, called Clematis, so that it can readily be applied on industrial enterprise web applications. Clematis automatically captures low-level events, their temporal and causal relations, and creates a behavioural model that is presented to the developer as an interactive visualization. To make this technique applicable in practice, we will explore how custom higher-order actions can be intercepted and mapped to lower level native event interactions and presented to web developers.

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Superviseur du corps professoral :

Ali Mesbah

Étudiant :

Partenaire :

SAP Canada Inc (Vancouver, BC)

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Evolution in conservation breeding programs: is it common and how does it impact breeding program success?

As the earth is facing widespread human-driven biodiversity loss, one increasingly important tool for conservation will be zoos and aquariums. However, because the environments animals experience in captivity are different from their wild habitats, the size, shape, health, behaviour, and breeding habits of species can change because of evolution and altered environments (e.g. altered nutrition). Using data from large family trees maintained by captive breeding managers and genetic data, we will measure evolution rates in many different zoo populations to determine if evolution in captivity is a widespread problem. Further, we will use these family trees to examine whether we can use artificial selection to promote the evolution of disease resistance in these species suffering from disease in captivity (e.g. herpes virus in elephants). Finally, using the information gathered in our proposal, we plan to make suggestions to improve the breeding success of the studied species and create tools that can be applied to any conservation breeding program to monitor evolution. Our research will benefit breeding management at African Lion Safari and will help improve conservation program success for several cherished Canadian and non-Canadian species.

Voir la description complète du projet
Superviseur du corps professoral :

Denis Réale

Étudiant :

Partenaire :

African Lion Safari

Discipline :

Life Sciences

Secteur :

Agriculture; Arts, entertainment and recreation

Université :

Université du Québec à Montréal

Programme :

Elevate

Revegetation at green energy sites for pollinator biodiversity and multiple ecosystem goods and services

Building new solar infrastructure provides opportunities to restore biodiversity and ecosystem function on site, including native plant and pollinator biodiversity, and ecosystem services of plant biomass and flower production, pollination, carbon storage, and resistance to invasive species. Restoration of the diverse native plant communities that provide these goods and services is challenged by varying establishment success for different species, and this may be further affected by novel conditions under solar panels or weed management methods. To ensure that plantings support target pollinator species, such as rare or crop-pollinating species, we need to know which flowers establish well, and which species pollinators prefer. This study will address all these questions to improve restoration outcomes.

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Superviseur du corps professoral :

Carol Frost;John Acorn;Cameron Carlyle

Étudiant :

Partenaire :

EPCOR Water Services Inc

Discipline :

Life Sciences

Secteur :

Utilities

Université :

University of Alberta

Programme :

Accelerate

System integration and optimization for SME sustainable wood product manufacturing systems

The research is to develop and apply advanced data technology and modeling technology for optimal and wood manufacturing. Numerical and optimization models will be developed with effective and efficient solution methods to find optimal or Pareto optimal solutions of the studied problems. The industry partner will be strongly supported by such numerical tools in its decision making in achieving its goals of sustainable and high quality wood product manufacturing.

Voir la description complète du projet
Superviseur du corps professoral :

MingYuan Chen

Étudiant :

Partenaire :

SEATPLY Inc.

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Concordia University

Programme :

Accelerate

Evidence-informed Evaluation of Community Transitions: Impact on Health and Quality of Life (Phase III)

Many of St.Amant’s services are shifting to provide the most inclusive, supportive, community-based services with the intention of enhancing health, accessing to healthcare, and improving the quality of life of persons supported and that of their families and caregivers. As part of its vision statement, St.Amant is supporting a number of persons with intellectual and developmental disabilities throughout their move from St.Amant Health and Transition Services to a variety of community-based residences.
Our research team is conducting a longitudinal evaluation study to assess the process of community transitions as well as the impact that these community transitions have had on the health and quality of life of people who were transitioned. This is Phase III of the study, which involves conducting up to two annual post-transition follow-up assessments so that the longer-term impact of the community transitions on the health and quality of life of the transitioned persons with disability could be better understood.

Voir la description complète du projet
Superviseur du corps professoral :

Shahin Shooshtari

Étudiant :

Partenaire :

St. Amant Foundation

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

University of Manitoba

Programme :

Accelerate

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