Projets novateurs réalisés

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

31 620 projets complétés

2978
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5221
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856
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696
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899
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9419
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9858
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98
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619
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1192
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Projets par catégorie

Discovery of Root Causes of Quality Deviations in Electronics Manufacturing

A typical production line in electronics generates an important quantity of data which is generally ignored and unused. Tack Verification increases efficiency of electronics manufacturing companies by collecting and transforming operational data into actionable insights and key performance indicators.
The project consists of the research and primary validation of artificial intelligence models allowing discovery of the root causes of quality deviations measured during electronics manufacturing. The discovery of these causes allows electronic manufacturers to increase their operational efficiency by targeting their efforts directly on the most critical parts of their production line and represents one part of the broader mission of Tack Verification.

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Superviseur du corps professoral :

Ioannis Mitliagkas

Étudiant :

Partenaire :

Tack Verification

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Application of multi-omics and pharmacological studies to discover potential new therapeutics for COVID-19

COVID-19 is the largest pandemic of the 21st century, affecting over 6.6 million individuals and claiming over 391,000 lives worldwide as of June 4, 2020. It is caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV2), which uses a receptor to gain entry into the host and cause active infection. This project involves the expertise of PROOF Centre and Professors Don Sin and Pascal Bernatchez. We would like to apply genomic studies and test new drugs studies to 1) better understand the genetics behind COVID-19 and 2) test these newly synthesized compounds for fighting this disease. These results will be used to guide future clinical studies, enabling new treatment options for COVID-19.

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Superviseur du corps professoral :

Don Sin;Pascal Bernatchez;Chinten James Lim;Don Sin

Étudiant :

Partenaire :

PROOF Centre of Excellence

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Influence of rearing and adult housing of laying hens on the behaviour and stress reactivity of offspring

Mothers can influence the behaviour and physiology of their young even before hatch. In birds that occurs through the deposition of hormones and nutrients into the egg. Mother-hens can be housed in various systems that offer different challenges to the bird. Our project will investigate how housing a mother-hen can affect the resilience of their offspring. This data can be used to improve farm practices and to decrease the occurrence of behaviour and welfare issues in egg production.

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Superviseur du corps professoral :

Tina M Widowski

Étudiant :

Partenaire :

Egg Farmers of Canada

Discipline :

Life Sciences

Secteur :

Agriculture; Manufacturing

Université :

University of Guelph

Programme :

Accelerate

Smart Textiles for the delivery of neuromuscular electrical stimulation therapy (NMES)

Up to half of patients with COVID-19 requiring mechanical ventilation in an intensive care unit (ICU) will develop ICU-Acquired Weakness (ICUAW). Neuromuscular electrical stimulation (NMES) holds promise to both prevent and treat ICUAW. NMES applies electrical impulses to muscles through electrodes placed on the skin to induce muscle contractions, and is highly effective in maintaining muscle mass and strength following limb injury, when loading and exercise is limited. In the intensive care unit (ICU), use of NMES therapy is not possible because it is resource-intensive, requiring constant monitoring by a therapist and because current protocols are not designed for patients that are unresponsive.
The proposed research will explore potential biosignals for the automation of delivery of NMES therapy in the ICU and their integration into smart textiles for NMES delivery.

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Superviseur du corps professoral :

Sunita Mathur;Jane Batt

Étudiant :

Partenaire :

Conveyor Built

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Smart Controls for Dedicated Outdoor Air Systems in an Era of COVID-19

Existing HVAC system design may be contributing to the spread of viruses such as COVID-19 with transmission through ventilation systems. Many HVAC systems recirculate up to 85% of the air, can have cross-contamination of the exhaust air stream with the supply air stream and virus transmission is more likely to occur when the relative humidity is outside of the recommend range of 40-60%. There is also a need to reduce energy consumption of HVAC systems producing greenhouse gases causing climate change. This project will explore the opportunity for designing a smart HVAC controller that uses sensors, algorithms and possibly artificial intelligence to control the operation of a Dedicated Outdoor Air System (DOAS) providing 100% fresh air to building occupants for healthy Indoor Air Quality in a way that minimizes energy consumption.

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Superviseur du corps professoral :

Lexuan Zhong

Étudiant :

Partenaire :

Oxygen8

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology; Construction; Sustainability & the Environment; COVID-19 related Research and Solutions

Université :

University of Alberta

Programme :

Accelerate

Development of Welding Alloy Formula for Wear-Corrosion Resistant Overlay

There is a strong market demand for welding filler metals to make surfaces that can resist both abrasive wear and chemical loss. The objective of this internship is to quickly design and formulate high-chromium submerged arc welding powder for overlay. The experimental core for this project involves selecting alloys and designing microstructure at the University of Alberta, welding testing at sponsor Trimay facility, and wear and corrosion testing of produced overlay at a commercial lab. The experimental tasks will be performed by considering interactions among chemical formulas, how the welding is done, changes in the metal, cracking or not cracking, how hard is the overlay, and how corrosion resistant it is. The formulas developed will greatly benefit Trimay in its quality of products and increased market share.

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Superviseur du corps professoral :

Leijun Li

Étudiant :

Partenaire :

Trimay Wear Plate Ltd

Discipline :

Engineering

Secteur :

Manufacturing; Mining

Université :

University of Alberta

Programme :

Accelerate

Topographie du bien-être

Valider les construits d’une application permettant de mesurer le bien-être des individus au sein de leur organisation ou de leur communauté.

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Superviseur du corps professoral :

Sebastien Tremblay

Étudiant :

Partenaire :

inpowr

Discipline :

Sociology

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Enzyme-free, one-step nucleic-acid detection for point-of-care COVID-19 diagnostic screening

Rapid diagnostic testing has proven essential for stemming the on-going COVID-19 pandemic. Given the global threat of COVID-19 transmission, millions of tests are needed per month to isolate infections and to facilitate safe reopening of societies. This internship will contribute to COVID-19 diagnosis efforts by first developing a faster and cost-effective protocol for viral nucleic-acid extraction, the first step common to the majority of COVID-19 molecular diagnostic tests. The internship will also contribute to the development of a one-step, enzyme-free assay that is cheaper and amenable for usage at the point-of-care to help address the demand for more testing capacity both in Canada and world-wide.

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Superviseur du corps professoral :

Leo Chou

Étudiant :

Partenaire :

Luna Nanotech

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Development of novel protease inhibitors active against the SARS-CoV-2 coronavirus

Effective anti-viral therapies are required to treat individuals infected by the SARS-Cov-2 virus, the causative agent of COVID-19. So far, only repurposed drugs have been investigated as treatment to fight SARS-Cov-2 infection. The goal of the project is to use our custom yeast-based screening platform in collaboration with the artificial intelligence algorithms of InVivo AI to develop specific inhibitor of SARS-CoV-2 enzymes called proteases. The intern will develop novel assays for SARS-CoV-2 proteases, screen large libraries of compounds and, in conjunction with InVivo AI, analyse results using artificial intelligence. Invivo AI will benefit from this collaboration by gaining access to unpublished chemical screen data to improve and test their algorithms. Candidate hits found during this project may be further developed into prospective novel anti-viral treatments that could help ameliorate severe respiratory symptoms associated with COVID-19.

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Superviseur du corps professoral :

Michael Tyers

Étudiant :

Partenaire :

Valence Discovery Inc

Discipline :

Life Sciences

Secteur :

Pharmaceuticals; Artificial Intelligence; Biotechnology; COVID-19 related Research and Solutions

Université :

Université de Montréal

Programme :

Accelerate

L’impact du traitement des sols par les bois raméaux fragmentés de Gmelina arborea et de Sarcocephalus latifolius sur le stock du carbone et les substances humiques

Les sols constituent le plus grand réservoir de carbone de la Terre et offrent plusieurs services écosystémiques pour assurer la sécurité alimentaire, l’adaptation au changement climatique et son atténuation. À la COP-21 (l’édition 2015 de la Conférence des Nations Unies sur les changements climatiques), l’initiative française ‘’4 pour 1000’’ stipule qu’on pourrait réduire considérablement l’augmentation annuelle de dioxyde de carbone dans l’atmosphère en augmentant de 0,4% par an le stock de carbone dans les 30 premiers cm du sol.
L’utilisation des bois raméaux fragmentés (BRF), une technologie développée à l’origine à l’Université Laval, permet de séquestrer le carbone et d’améliorer la fertilité des sols agricoles sans recours à des engrais synthétiques. Ainsi dans les régions subsahariennes où les sols agricoles sont dégradés, l’utilisation des BRF pourrait permettre de relever le double défi de séquestration de carbone et de formation d’humus stable pour une agriculture durable.

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Superviseur du corps professoral :

Tatjana Stevanovic;Damase Khasa

Étudiant :

Partenaire :

La Fondation Paul Gérin-Lajoie

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Development & manufacture of a scFv antibody therapy for COVID-19

The current project will assemble a library of molecules known as single-chain variable fragment (scFv) antibodies to treat COVID-19. The scFv antibodies will neutralize the SARV-CoV-2 coronavirus that causes COVID-19 by targeting its spike (S) glycoprotein. ScFv antibodies offer numerous advantages compared to other treatment alternatives such as small-molecule drugs and monoclonal antibodies, and are arguably the cheapest and most efficacious option to fight the pandemic. The antibodies will be rapidly designed, selected and optimized using a workflow rooted in computational protein modeling and synthetic biology. The BioFoundry at the University of British Columbia, which will lead the project, ranks among Canada’s leading research groups in synthetic biology and possesses unique expertise in the experimental methods required to generate a catalogue of promising scFv candidates. The project also involves an industry partner, Sanofi Pasteur. The company is the world’s largest vaccine manufacturer and will provide in-kind support and technical advice to develop an economical and large-scale scFv manufacturing platform. We anticipate generating the antibody library within a short period of 6 months, following which the library and manufacturing protocol will be transferred to Sanofi Pasteur for clinical and commercial development.

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Superviseur du corps professoral :

Vikramaditya Yadav

Étudiant :

Partenaire :

Sanofi

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Biotechnology; COVID-19 related Research and Solutions

Université :

The University of British Columbia

Programme :

Accelerate

Data – Driving Recovery in the aftermath of COVID-19’s 1st Wave, Steadying for the 2nd

Numerous studies in the application of Machine Learning to mental health have demonstrated a range of benefits in the areas of diagnosis, treatment and support, research, and clinical administration. COVID-19 is an unprecedented health crisis causing a great deal of stress in populations in Canada. In this project, our aim is to apply practical machine learning approaches to study whether the effects of medical cannabis can help address anxiety, depression and sleep challenges exacerbated by COVID-19. Patient reported scores in the standardized medical questionnaires will be used to determine which specific cannabinoid therapy dosing regimens (Eg: High CBD versus Balanced CBD/THC versus High THC) are effective and, specifically, for which particular subsets of patients experiencing anxiety, depression and/or sleep challenges. The significance of this project is to advance the clinical delivery of precision-based cannabinoid medicine to address the SUA/MH (substance use and abuse/mental health) challenges COVID-19 is presently exacerbating.

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Superviseur du corps professoral :

Sheela Ramanna

Étudiant :

Partenaire :

Ekosi Health

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Winnipeg

Programme :

Accelerate