Projets novateurs réalisés

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

31 620 projets complétés

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856
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98
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619
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Projets par catégorie

Découverte d’anticorps thérapeutiques humanisés ciblant TMPRSS2 neutralisant les virus respiratoires

Les infections respiratoires virales sont une problématique importante pour les systèmes de santé mondiaux. Plusieurs virus respiratoires tels que les coronavirus, responsables notamment de la COVID-19, et les virus de type influenza responsables de la grippe mutent rapidement ce qui leur permet d’échapper au système immunitaire et de résister aux traitements. Conséquemment, nous voulons bloquer une protéine humaine afin d’éviter le problème de mutations des protéines virales. Cette protéine humaine est TMPRSS2, une enzyme dont l’activité aide plusieurs virus à entrer dans les cellules de l’hôte et à l’infecter. Pour ce faire, nous développerons des anticorps chez la poule afin de bloquer la protéine TMPRSS2, nous validerons que nos anticorps bloquent bien l’activité de la protéine TMPRSS2 essentielle à l’entrée des virus et finalement, nous allons rendre les anticorps de poule plus semblables à ceux des humains pour qu’ils puissent être utilisés éventuellement chez des patients. Durant ce projet, le stagiaire postdoctoral impliqué dans ce projet sera notamment appelé à développer des essais afin de démontrer que les anticorps bloquent l’activité de TMPRSS2 en plus de développer une nouvelle technique afin de rendre les anticorps de poule plus semblables à ceux des humains. La compagnie biotechnologique Immune Biosolutions pourra acquérir des protocoles et de l’expertise sur les essais développés par le stagiaire postdoctoral en plus d’obtenir un anticorps ayant un potentiel thérapeutique.

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Superviseur du corps professoral :

Sebastien Rodrigue

Étudiant :

Partenaire :

Immune Biosolutions Inc

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Université de Sherbrooke

Programme :

Elevate

Conversational Modeling and Dialogue Generation for Consumer Understanding with Neural Techniques

Market research is fundamentally about understanding humans as consumers, in all their complexity and nuance. This fellowship will apply natural language processing techniques to the problem of representing consumer language, and generating conversational prompts intended to elicit opinions and underlying motivations which are pertinent to ad-hoc market research objectives. In partnership with Nexxt Intelligence Inc., this project will leverage recent developments in machine learning to construct a deep learning model capable of categorizing consumer conversations into meaningful categories and relationships which are of interest to market researchers. This model will then be applied to downstream tasks, building on existing IP (including a consumer language dataset, language models, and a computational conversational framework) toward the ultimate goal of creating an end-to-end digital system which empowers market researchers to design and conduct conversational experiences which engage with consumers through the use of fluent questions and prompts, which are not only sensible but also specific to both the market researchers’ overall objectives as well as the consumers’ utterances. The knowledge gained through this fellowship will be disseminated to the scientific community through publications in peer-reviewed journal(s) and/or conference(s), and the resulting models will be published with an open source license for anyone to use.

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Superviseur du corps professoral :

Jimmy Lin

Étudiant :

Partenaire :

Nexxt Intelligence

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Elevate

BC recreational fisheries: exploring potential for development of kokanee program

The project is designed with the following objectives: Improving the statistical formulation for the recently developed stock assessment model for BC lakes so that it maybe fitted to more types of field data, e.g., stocking, gillnet test fishing and angling effort data, and applying it toimprove understanding of kokanee-rainbow trout interactions in lakes, assembling lake characteristics informationand quantifying the biological potential for kokanee production in BC stocked lakes, analysing creel informationand angler effort data to explore angler preferences across BC for targeted species, combining analysis o fbiological potential and angler preferences and stocking cost-benefit to quantify growth potential of recreational fisheries for kokanee in stocked lakes of BC, integrating kokanee dynamics into landscape-wide optimization ofstocking programs and angling regulations for BC small lakes recreational fisheries. Over the past several decades, considerable research has been done on rainbow trout trade-offs between growth andsurvival (Biro et al. 2003; Biro et al. 2006; Askey et al. 2007), fish vulnerability to anglers (Cox and Walters 2002; Askeyet al. 2006), angler preferences (Parkinson et al. 2004; Webb 2006; Post et al. 2008; Williston 2008). This information has been used to optimize stocking densities required to maximize recreational fishing (Askey 2013).

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Superviseur du corps professoral :

Murdoch McAllister

Étudiant :

Partenaire :

Freshwater Fisheries Society of BC;Riseform Flyfishing Ventures

Discipline :

Life Sciences

Secteur :

Aquaculture and Fishing; Aquaculture and Fishing

Université :

The University of British Columbia

Programme :

Elevate

Improving Transfer Efficiency and Reducing GHG and VOC Emissions in the Application of Automotive Paint by Monitoring Sprays Using the Mazlite Platform

The objective of this project is to help reduce the environmental impacts of automotive painting operation by correlating changes in paint quality, transfer efficiency, and VOC and GHG emissions with droplet size distributions and the spray pattern produced by Electrostatic Rotating Bell atomizers.
During the project, data will be collected using the innovative Mazlite platform in an automotive paint booth. Furthermore, the researcher will study several key parameters and analyze the datasets to investigate and optimize operating conditions, transfer efficiency such that the integrity of the colour and finish is maintained. To track the impact of this project, the candidate will develop process improvement KPIs to measure the reduction in material waste, energy consumption, and VOC and greenhouse gas (GHG) emissions.
Mazlite has developed a system that can measure the size and velocity of droplets produced by a spray system in real-time. Mazlite will benefit from this project as it will enable the commercialization of the technology in an automotive beta test site. The project research and results will show the benefits of using the Mazlite platform in the production line. Furthermore, any scientific papers that involve the use of Mazlite technology will help in promoting its use cases.

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Superviseur du corps professoral :

Sanjeev Chandra

Étudiant :

Partenaire :

Mazlite Inc.

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Toronto

Programme :

Elevate

Sélection et caractérisation d’un consortium bactérien aux propriétés antifongiques pour les cultures de tomate et de fraise

L’ensemble de la filière agricole est confronté aux maladies fongiques et les phénomènes de résistances face aux fongicides qui en découlent. Depuis 1990, des méthodes de Lutte Antiparasitaire Intégrée (LAI) tendent à faire évoluer les pratiques agricoles en prenant en compte l’apparition de ces résistances et les quantités d’intrants appliqués en champs pour prévenir les pollutions des écosystèmes environnants. Les rhizobactéries, des bactéries vivant à l’interface racinaire des plantes et du sol, sont rapportées dans la littérature comme ayant des propriétés antifongiques naturelles. Le présent projet vise à formuler un nouveau bio-fongicide à partir d’un mélange de ces rhizobactéries caractérisées pour avoir des propriétés antifongiques comme alternative aux traitements chimiques préventifs. Ce consortium bactérien sera étudié sur des cultures d’intérêts agricoles de tomates et de fraises qui sont fréquemment ravagées par des champignons dévastateurs tels que Botrytis cinerea et Fusarium oxysporum. Afin d’évaluer le potentiel bio-fongicide du consortium, des expériences seront menées pour suivre l’évolution de la croissance des champignons et identifier les réponses immunitaires chez la plante via l’expression des gènes impliqués dans l’immunité des plantes en présence du consortium bactérien.

Voir la description complète du projet
Superviseur du corps professoral :

Hugo Germain

Étudiant :

Partenaire :

Biotechnologies Ulysse Inc

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Université du Québec à Trois-Rivières

Programme :

Elevate

Hydrothermal Liquefaction of High-Moisture Pulp and Paper Milling Residues for Renewable Biocrude Production

Canada’s $9.6B pulp industry produces an ample supply of unusable organic pulp mill residues, yet there has been relatively limited utilization of this feedstock for the production of bio-crude through hydrothermal liquefaction (HTL) – a low-temperature, high-pressure thermolytic conversion process. The proposed research project will investigate HTL catalysts that produce abundant, high-quality, and low-cost bio-crude for later transformation into renewable diesel. Mitacs interns’ research will involve the development of these catalysts and the maximization of their performance, which will feed into the feasibility analysis of a 100,000 L/d demonstration scale process utilizing the developed HTL technology for the production of renewable diesel. This work strives to lay the groundwork for more detailed pre-commercialization engineering studies with the project’s industrial partner, eventually creating a facility supplying Canada’s forestry sector with clean, locally produced fuels.

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Superviseur du corps professoral :

Hussameldin Ibrahim

Étudiant :

Partenaire :

Varun Investments Inc.

Discipline :

Engineering

Secteur :

Management of companies and enterprises

Université :

University of Regina

Programme :

Accelerate

Development of a high-throughput screening system for SARS CoV-2 variants and screening for novel antivirals

The COVID-19 pandemic is the greatest public health disaster in over a century resulting in the death of nearly 6 million people world-wide. The virus has evolved over the last two years to highly transmissible variants, outpacing our efforts to contain it by mass vaccination. Effective drugs that can curtail the infection at early stages, preventing transmission and hospitalizations are essential to limit community spread of the new, highly transmissible variants. Due to the highly transmissible nature of SARS Coronavirus 2, most research on drugs and vaccines against the virus is confined to a few high containment laboratories around the world. Infection systems for the recent virus variants that can safely be used in normal laboratory conditions for drug and vaccine development is currently lacking, severely hampering our efforts to develop novel drugs effective against newer variants. This project envisions to develop such an infection system for the delta and omicron variants of SARS Coronavirus 2 that are responsible for most of the current infections. Furthermore, we will use this system to identify novel drugs and drug-targets that could potentially be developed into new antivirals that are effective against all prevalent variants of the virus.

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Superviseur du corps professoral :

Anil Kumar Victoria Ansalem

Étudiant :

Partenaire :

Applied Pharmaceutical Innovation

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services; Retail trade

Université :

University of Saskatchewan

Programme :

Elevate

Development and validation of comprehensive testing strategies for engineered nanomaterials and biomaterials

The primary goal of this project is to develop a robust testing strategy that can be utilized by Vireo Advisors Canada to help industries and regulators assess the environmental and health safety of ENMs. To accomplish this goal, I will validate commonly used and recently developed cell-based assays for potential engineered nanomaterial (ENM) interference and determine which assays are suitable for use. Comparison with zebrafish embryo toxicity tests will allow to validation of these methods and potential reduction in use of animals for testing. The project will characterize 13 different commercially relevant ENMs provided by Vireo Advisor Canada. The overall goal of the project will be to validate which cell-based test methods best predict toxicity of ENMs. Validation of these cell-based testing methods with correlates of toxicity on embryos can then function to replace or significantly reduce direct animal testing. This project will also help Vireo Advisor Canada to expand its operations within in Canada by providing important toxicity data on ENMs and a robust, read-across testing strategy for their clients.

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Superviseur du corps professoral :

Greg Goss

Étudiant :

Partenaire :

Vireo Advisors Canada

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Elevate

Bio-surveillance and metabolic efficiency assessment and prediction using Artificial Intelligence via automated multispectral imagery in cattle production

This research project is intended to implement and evaluate a machine learning framework utilizing multispectral imagery to optimize protein production efficiency from two Canadian livestock industries, dairy production and beef cattle production. The assessment protocol will include the surveillance of pathophysiological conditions (e.g. bovine respiratory disease, mastitis, estrus detection), animal well-being (e.g. stress susceptibility, lameness, and poor body condition scores) and metabolic efficiency (e.g. residual intake and growth) affecting carbon footprints for these sectors. The complexities of these systems obligate the use of artificial intelligence to acquire, process, analyze and predict bio-surveillance parameters and metabolic efficiency.

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Superviseur du corps professoral :

Clover Bench

Étudiant :

Partenaire :

Animal Inframetrics;Alpha Phenomics Inc.

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Elevate

In-Vitro Analysis of Cardiac Tissue Under Severe Strain

The main goal with this research project will be to investigate the effects of strain on cardiac tissue using in-vitro studies. This proposed research will look to analyze high levels of strain in cardiac tissue using equipment that can stretch cells, which was designed and is currently being used in the physiology lab at Bern University, where my research will take place. Regarding the methods of the research, we will induce high levels of strain on the cardiac tissue, and test to see what electrical response we get due to these dynamic strain loads.
By determining if high strain on the cardiac tissue can affect electrical signals of the heart, we can determine if it is the cause for ventricular fibrillation of the heart. By understanding the effects from severe levels of strain on the electrical response of cardiac tissue, we will be able to establish a deeper understanding of the cause for heart failure from rapid stretch of these cells, which can be used towards the ultimate goal of preventing heart failure occurring in young athletes from impacts to the heart (referred to as commotio cordis).

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Superviseur du corps professoral :

Haojie Mao

Étudiant :

Partenaire :

University of Bern

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology; Biotechnology

Université :

The University of Western Ontario

Programme :

Globalink Research Award

Eutectic Electrolytes for Low-temperature Aqueous Zinc-ion Capacitors

Energy storage technology is critical for reducing greenhouse gas emissions and transitioning to renewable energy and should be designed to suit the cold environment in Canada. In collaboration with Atlas Power Technologies Inc., a B.C.-based clean technology company, Dr. Liu’s group will design and build an aqueous zinc-ion capacitor (AZIC) technology with high-power, intrinsic safety, and low-temperature resistance from a carbon cathode and a zinc anode. Specifically, the intern will develop a new class of electrolytes, Zn-based eutectic electrolytes, to enable the various properties in AZIC. The developed AZIC will double the energy density of the current SC technology at Atlas Power Technologies, increase the company’s competitiveness in the energy storage sector globally, accelerate the technology deployment in Canada, and contribute to the achievement of net-zero emissions by 2050 in Canada.

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Superviseur du corps professoral :

Jian Liu

Étudiant :

Partenaire :

Atlas Power Technologies

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

The University of British Columbia - Okanagan

Programme :

Elevate

Implementation of HR-EBSD and ECCI for advanced microstructure analyses on the nanoscale

In order to achieve breakthroughs in the understanding and development of materials, new and advanced analysis methods are crucial. Especially, looking at the µm to atomic scale, which is still challenging, helps to understand fundamental mechanisms behind macroscopic phenomena. This understanding, in turn, can help to improve manufacturing processes and in the design of new materials. In this project, new and advanced SEM analysis methods namely Electron Channelling Contrast Imaging (ECCI) and High Resolution Electron Backscatter Diffraction (HR-EBSD) should be established at the University of British Columbia (UBC). Moreover, the limits of these methods in terms of resolution should be tested and advanced. The results will be crosschecked by means of Transmission Electron Microscopy (TEM) at the NRC Nanotechnology lab in Alberta. Both methods can be used to understand deformation processes better and to visualize defect structures in various materials (metals, minerals and ceramics).For this project, we will develop the approach to look at electrical iron silicon steel, which is the core of every electric machine, where it guides and magnifies the magnetic flow. Optimising the performance of this material is critical to maximise energy transmission efficiency and reduced losses.

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Superviseur du corps professoral :

Ben Britton

Étudiant :

Partenaire :

Rheinisch-Westfälische Technische Hochschule Aachen

Discipline :

Engineering

Secteur :

Education

Université :

The University of British Columbia

Programme :

Globalink Research Award