Projets novateurs réalisés

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

31 133 projets complétés

2940
AB
5159
C.-B.
837
MB
685
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882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
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Projets par catégorie

Trichome Stalk Length and Bulb Discolouration as Factors of Cannabis sativa Maturity

Cannabinoids and terpenes that make the chemical composition of cannabis material are found in the metabolic factories, glandular trichomes. The trichomes are stalk like protrusions with a bulb at the end that functions to hold the synthesized compounds. The project is to analyze trichomes visually to determine if bulb colour changing and stalk extensions are indications of peak cannabis maturity. Peak cannabis maturity is hypothesized to be peak cannabinoid levels, so the project analyzes the visual and cannabinoid changes as the crops mature. At the end of the project, an SOP focusing on harvest time based on bulb colour and stalk length will be developed.

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Superviseur du corps professoral :

Anja Geitmann

Étudiant :

Partenaire :

Cannara Biotech

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

McGill University

Programme :

Accelerate

Tissue-constructs to predict optimal vaccine response in neonates.

Vaccines are one of the most effective methods for protection against life-threatening infections such as hepatitis B. Due to the difficulties associated with extensive clinical trials on younger population groups such as infants and newborns, vaccine research is primarily conducted on adults. Therefore, there is a significant gap in our current knowledge of early-life immune mechanisms. In this study, we will use an innovative technique that utilizes blood samples retrieved during a newborn’s birth to measure different biological information, including genes and proteins, to predict and understand the vaccine response of newborns. The findings from this study will provide new insights to improve the immunization protocols adopted by health organizations across the world, furthering the goals of our partner organization, PROOF Centre of Excellence.

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Superviseur du corps professoral :

Scott J. Tebbutt

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

Stó:lo Indigenous Foodways Co-Lab: Exploring the Relationship Between Agri-food Transitions and Resurgence (part of the Just Transitions in Food Systems Network)

The Stó:lo Indigenous Foodways Co-Lab (part of the Just Transitions in Food Systems Network) is a community-based research project examining the relationship agri-food transitions and traditional food systems resurgence in the context of the Fraser Valley in British Columbia Canada. This project will create a dialogue space to raise and address questions about what changes in the food system today mean for Stó:lo communities and their traditional food practices. Guided by community leaders, we will implement a Circles of Engagement model for understanding how changes in the food system, including land use changes and new technologies, present opportunities or barriers to Stó:lo foodways resurgence.

Voir la description complète du projet
Superviseur du corps professoral :

Evan Bowness;Stefania Pizzirani;Lenore Newman

Étudiant :

Partenaire :

Stó:lo Service Agency Society

Discipline :

Sociology

Secteur :

Administrative and support, waste management and remediation services

Université :

University of the Fraser Valley

Programme :

Accelerate

Evolution of digital access modes in Employee and Family Assistance Programs

Shepell·fgi is a leading provider of Employee and Family Assistance Programs (EFAPs) for domestic and global clients. As digital technology and online social networks became increasingly important, Shepell·fgi added new digital services (First Chat, Video Counselling, Online Access, and other online programs) other than the traditional delivery channels (telephone and in-person appointments). Many recent studies focus on analyzing the clinical and monetary effectiveness of these online programs, however, rarely do they focus on user demographics. The goal of this research proposal is to provide statistical longitudinal demographic analysis of 2010-2013 data from Shepell·fgi. The results of these research findings will allow Shepell·fgi to make confident decisions with regards to investment and expansion of their online programs. A better understanding of demographic trends of support delivery will help Shepell·fgi counsel their clients more effectively.

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Superviseur du corps professoral :

Hanna Jankowski

Étudiant :

Partenaire :

Shepell FGI

Discipline :

Mathematics

Secteur :

Health and Related Sciences & Technology; Information and Communications Technology; Health and Related Sciences & Technology; Information and Communications Technology

Université :

York University

Programme :

Accelerate

Chitosan-Based Nanofragrance for Sustained Scent Release

An ideal fragrance carrier system should not only be safe but also allow for a prolonged release of fragrances over time without affecting the overall performance of the perfume. However, very little progress has been made to improve the formulation of perfumes despite the size and high social status associated with the market. My project aims to create a release system based on a biomaterial, chitosan, to encapsulate scent molecules in perfumes. This will not only eliminate the use of phthalates, the potentially carcinogenic molecules that are widely used in perfumes to make scents last longer, but also result in controlled scent release given chitosan’s pH responsiveness to changes in human skin pH in different environment.

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Superviseur du corps professoral :

Marta Cerruti

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Engineering

Secteur :

Nanotechnology; Biomanufacturing; Commercial Services

Université :

McGill University

Programme :

Accelerate

Development of recommender system based on user and item data

With this project, we aim to increase our knowledge and experience in recommender systems. We are specifically interested in testing various data structures and algorithms that will allow us to provide recommendations to our users based on their interest (user-user), as well as the intrinsic similarities between different elements of our database (item-item). Based on our experience so far, none of the existing recommender system or algorithms can fully meet our requirements and existing datasets. The main goal is to develop new features of our web apps based on the results of this project. The main tasks to be performed include data analysis, literature review, algorithm development and testing.

Voir la description complète du projet
Superviseur du corps professoral :

Yaoyao Fiona Zhao

Étudiant :

Partenaire :

Turquoise Technology Solutions Inc

Discipline :

Computer science

Secteur :

Artificial Intelligence; Information and Communications Technology; Technology

Université :

McGill University

Programme :

Accelerate

Cycloadditions and Annulations of Epimeric Pyrroloimidazolone Derivatives for the Synthesis of Novel Drug Leads

The proposed research aims to exploit specific applications of epimeric pyrroloimidazolones (EPIs) for the synthesis of new drug leads. Two classes of biologically active molecules will be targeted. First, EPIs will serves as intermediates toward chiral bicyclic[2.2.2]octenes with nitrogen at the bridgehead position, which are known to have a broad range of biological activities. Second, EPIs will be used to develop a series of dihydrofurans such as nucleoside analogues that have known utility for treatment of various cancers. This second series of molecules are related to Sapacitabine, a drug which is currently in advanced clinical trials for chronic lymphocytic leukemia and non-small cell lung cancers.

Voir la description complète du projet
Superviseur du corps professoral :

Costa Metallinos

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Physics

Secteur :

Pharmaceuticals; Health and Related Sciences & Technology

Université :

Brock University

Programme :

Accelerate

Algorithmes de déduction pour les modèles d’ordonnancement sous contraintes minimisant le délai moyen

Un ordonnancement est défini par le planning d’exécution des tâches et d’allocation des ressources, et vise généralement à satisfaire un ou plusieurs objectifs. La fonction objectif la mieux traitée est la minimisation du délai total, i.e. la date de fin de l’ordonnancement. Une part conséquente et structurée de la littérature y est consacrée que ce soit pour des ressources disjonctives (une seule tâche peut s’exécuter à un instant donné) ou cumulatives (plusieurs tâches peuvent s’exécuter à un instant donné). Proposer des méthodes efficaces d’ordonnancement sous contraintes avec d’autres critères reste aujourd’hui un véritable challenge à relever. Le but de ce projet est de développer de nouvelles techniques en programmation par contraintes pour mieux ordonnancer une machine disjonctive selon des fonctions objectif moins étudiées, mais fréquentes en pratique : le délai moyen ; le délai pondéré ; le maximum de fonctions régulières.

Voir la description complète du projet
Superviseur du corps professoral :

Claude-Guy Quimper

Étudiant :

Partenaire :

Université Grenoble Alpes

Discipline :

Computer science

Secteur :

Education

Université :

Université Laval

Programme :

Globalink Research Award

Étude portant sur les déterminants de participation aux sports fédérés et au bénévolat chez les immigrants de première génération

Ce projet de recherche, mandaté par le Groupe Multisports (GMS) St-Léonard, en collaboration avec l’arrondissement de Saint-Léonard, vise à comprendre les déterminants de participation aux loisirs, au sport organisé et à la gestion bénévole des organisations sportives. Une attention particulière sera portée aux facteurs facilitant la participation, aux contraintes, ainsi qu’à la motivation. Le projet se divise en deux étapes. Une première, prévue pour novembre et décembre 2022, consiste en la passation d’un questionnaire sondage auprès de la population immigrante de première génération de St-Léonard et vise 380 répondants âgés de 14 ans et plus.

Voir la description complète du projet
Superviseur du corps professoral :

Jean-Marc Addjizian;Julie Fortier

Étudiant :

Partenaire :

Gestion Multisports St-Léonard

Discipline :

Sociology

Secteur :

Public Service, Policy, and Governance; Social Innovation

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate

Hexagonal geometric mesoporous nano-ink formulation for electrochemical detection of phthalate- A chief EDC

Phthalates are plasticizers used in plastic manufacturing especially polyethylene terephthalate, and polycarbonate. This is predominantly used in food packaging, bottles, cosmetics, infant products, etc., The plastic conversion into ‘microplastics’ along with its plasticizer tends to leach out from the products and cause numerous health and environmental impacts. The major health effects imparted by dibutyl phthalate derivative are endocrine disruption, cancer, reproductive and developmental effects. The environmental impacts include aquatic species toxicity, water and soil pollution. Though the usage limit has been set and some tend to publicize it as phthalate-free, we are unaware of whether it’s under the prescribed limit or free of phthalate, hence sensor comes into play. In this work, we are planning to develop an electrochemical sensor for the detection of dibutyl phthalate using mesoporous nanoparticle-infused conductive nano-ink using a conventional set-up initially. Then, disposable portable electrodes on the eco-friendly substrate will be fabricated using the nano-ink.

Voir la description complète du projet
Superviseur du corps professoral :

Matiar Howlader

Étudiant :

Partenaire :

SASTRA Deemed University

Discipline :

Engineering

Secteur :

Education

Université :

McMaster University

Programme :

Globalink Research Award

Explora Nano

Lipid-made nanoparticles are small delivery vehicles that can encapsulate therapeutics like mRNA and drugs. These tiny containers help to protect therapies until they are delivered into cells where they have better effects. A huge portion of the worldwide population have them in their bodies, thanks to mRNA COVID19 vaccines from Pfizer and Moderna. A lot of companies and laboratories are finding new therapies everyday; however, putting these therapies into nanoparticles requires dedicated equipment that cost thousands or hundreds of thousands of dollars and lengthy process to get the best recipe. This project is researching and developing a kit with all the reagents that are required to produce nanoparticles and encapsulate therapeutic molecules. By decreasing the production barriers, this kit will support research labs and biotech to bring therapies closer to clinical testing. The work with the partner organization with help us to validate the commercial potential of our proposed kit.

Voir la description complète du projet
Superviseur du corps professoral :

Julia Valdemarin Burnier

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Nanotechnology; Biomanufacturing

Université :

Research Institute of the McGill University Health Centre

Programme :

Accelerate

Approche bayésienne en tractographie : modélisa

La recherche sur le cerveau se tourne de plus en plus vers des études qui consistent à observer un même groupe d’individus sur une longue période. De ces études, nous sommes désormais capables d’extraire une multitude d’informations relativement complexes (multi-dimensionnalité) sur le fonctionnement du cerveau. Or, les outils statistiques actuels ne permettent pas de considérer de manière appropriée la complexité de ces mesures. Ainsi, la définition de modèles statistiques robustes permettant de modéliser l’évolution des mesures et capable d’en intégrer la complexité est plus important que jamais. Le but de cette démarche est de permettre de meilleure interprétation des analyses afin de mieux comprendre l’évolution des pathologies cérébrales au cours du temps.

Voir la description complète du projet
Superviseur du corps professoral :

Maxime Descoteaux

Étudiant :

Partenaire :

Imeka Solutions Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université de Sherbrooke

Programme :

Accelerate

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.