Projets novateurs réalisés

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

30156 projets achevés

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Projets par catégorie

The effects of One to Zero Technique on neural function, health and well-being

The one-to-Zero (OTZ) Tension Adjustment is a chiropractic technique which corrects articular dysfunction of the articulation between the skull and the top vertebrae of the neck, also called the atlas. The goal of this study is to determine whether correcting dysfunction using OTZ affects brain processes and overall health and well-being. Participants will complete questionnaires relating to health and well-being before and after treatment. Researchers will also measure neck, arm and leg muscle strength, heart rate variability, and awareness of head position in 3D space, twice before treatment begins and at the completion of treatment. This study will help researchers to understand more about how altered sensory input from the neck muscles impacts overall health and performance. It will help Dr. McCord’s practice by providing evidence of the impact of OTZ on health.

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Superviseur du corps professoral :

Bernadette Murphy

Étudiant :

Partenaire :

Total Body Chiropractic and Wellness Clinic (Scarborough, ON)

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Other

Université :

University of Ontario Institute of Technology

Programme :

Accelerate

Energy Selection Functions: Evaluating Polar Bear Movement Energetics

The energetic cost of traversing the environment is a fundamental component of an animal’s energetic balance and subsequently, their body condition. Polar bears (Ursus maritimus) occupy dynamic sea ice habitats, which result in spatiotemporal variation in their energetic costs of movement. My objective is to evaluate the role of energetic balance in governing polar bear movement decisions. Most animal movement models ignore the role of energetics when evaluating space-use and movement patterns. I will modify a popular model to include estimates of energy expenditure/gain, resulting in variant models referred to as energy selection functions (ESFs). I will calculate energy expenditure from remotely sensed ice data and estimates of polar bear metabolic rates, and energy gains as a function of prey densities. This will form an energy landscape, onto which I will overlay bear GPS data to evaluate movement in relation to the energetic costs/gains of each GPS relocation path. ESFs will be the first animal movement models to consider energetics as a determining factor in animal movement decisions.

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Superviseur du corps professoral :

Andrew Edward Derocher

Étudiant :

Partenaire :

Swansea University;The University of Sheffield

Discipline :

Life Sciences

Secteur :

Education

Université :

University of Alberta

Programme :

Globalink Research Award

Analyse et prévision des prix du bois d’œuvre

Les prix figurent parmi les décisions importantes à prendre par les responsables des ventes. En particulier pour les entreprises du bois d’œuvre, les responsables de ventes se fient aux estimations des prix, basées sur le jugement d’experts, fournies hebdomadairement par le Conseil de l’Industrie Forestière du Québec (CIFQ). La génération hebdomadaire de ces estimations de prix nécessite beaucoup d’effort et ne représente pas une procédure viable à long terme. De plus, le CIFQ dispose d’un grand volume de données qui doivent être prises en considération pour générer des prévisions de prix. Ce projet vise à fournir aux experts du CIFQ un outil qui permet de valoriser les données dont ils disposent et de faire ressortir toutes les informations pertinentes permettant de prévoir de façon

Voir la description complète du projet
Superviseur du corps professoral :

Bruno Agard

Étudiant :

Partenaire :

Conseil de l'Industrie Forestière du Québec

Discipline :

Engineering

Secteur :

Agriculture; Manufacturing

Université :

École Polytechnique de Montréal; Polytechnique Montréal

Programme :

Accelerate

Device-free indoor activity detection and localization using Wifi signals

Creating smart indoor environments that detect and understand human daily life activities is attracting significant amount of attention, due to their huge potential impact on context-aware technologies. Aerial Technologies, our partner organization, is developing products that provide device-free indoor localization and activity recognition Wi-Fi signals generated by off-the-shelf Wi-Fi enabled devices. This project will use state of the art machine learning and time-series analysis algorithms to improve the detection and classification capabilities of these systems.

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Superviseur du corps professoral :

Aditya Mahajan

Étudiant :

Partenaire :

Aerial Technologies Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

A Novel Bone Anabolic Treatment in a Mouse Model of Osteogenesis Imperfecta

Osteogenesis imperfecta (OI) is a heritable disorder that causes bone fractures. The drugs that are used at present help to decrease the number of fractures by about half, but most people with OI have many fractures despite receiving currently available treatments. Mesentech Inc has developed a new drug that has shown a strong effect on bone formation in rats. In this project, we will test the effect of this drug in a mouse model of OI. The new drug will be injected three times per week during a period of four weeks and the effect on bone strength will be assessed. We expect that the new drug will increase bone formation activity and make bones stronger in OI mice. This will open a potential new treatment avenue for patients with OI.

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Superviseur du corps professoral :

Frank Rauch

Étudiant :

Partenaire :

Mesentech Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

Design and manufacturing of a plastic anchor using a chemical product acting as a time-dependent expansion mechanism

The objective of this project is to investigate the feasibility of a novel anchor fixation device for which the anchoring mechanisms is prompted by the expansion and polymerization of a polymeric material. Accordingly, an innovative solution inspired from the self-healing polymer concept is proposed for sufficient expansion and fixation to wall panels for masonry and commercial buildings of North America. The anchor must harden in less than 30 seconds after expansion and when exposed to air. In addition, the chemical component must have a shelf-life of at least 36 months. In association with Polytechnique Montréal, Cobra Fixations target to design, manufacture and test the tailored wall anchor. To achieve this goal, the first and foremost is to perform a comprehensive literature review on plastic wall anchors existing in the construction market and then self-healing materials, which provide autonomic repairing mechanisms, used to various engineering systems. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Rachid Boukhili

Étudiant :

Partenaire :

Cobra Anchors

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Polytechnique Montréal

Programme :

Accelerate

Effects of a powered and automated cargo management system on the biomechanical variables of workers during ladder lifting tasks: A pilot study

Portable ladders are used by workers in industries such as construction, electrical, and telecommunications. A new powered and automated cargo management system, the RazerLift, has been designed to assist workers during portable ladder lifting tasks. The objective of this study is to investigate whether this system improves the biomechanical variables of workers during ladder lifting tasks. Each participant will perform a ladder lifting task using a powered and automated cargo management system. The biomechanical variables will be calculated during the ladder lifting tasks. Specialized software will be used to calculate these biomechanical variables. In addition, paper-based questionnaires will be administered to the participants after conducting the lifting tasks to determine their acceptance and the usability of the system. The partner organization will benefit by having its product validated for use by its clients. The feedback will also help the partner organization to scale up its product by marketing it to a wider range of users and/or industries.

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Superviseur du corps professoral :

Antonio Miguel Cruz;Lili Liu;Adriana Maria Rios Rincon;Adriana Rios Rincon

Étudiant :

Partenaire :

Buller Engineered Products Ltd

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

University of Alberta

Programme :

Accelerate

Dimensionnement d’un ouvrage de recuperation de I’energie de la houle

L’objectif du stage est d’effectuer la phase de recherche rnenant Voir la description complète du projet

Superviseur du corps professoral :

Stephane Etienne

Étudiant :

Partenaire :

SPG Hydro International

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

École Polytechnique de Montréal

Programme :

Accelerate

Radiofrequency Treatment for Emphysema in Mouse Model

Emphysema, a lung disease that millions of Canadians currently suffer from, has few safe and non-invasive options available. One of the features of emphysema is the lack of proper blood flow in the diseased lungs and this results in poor gas exchange. IKOMED Technologies Inc. has been developing a new technology that has the potential to remove diseased lungs non-surgically. The initial proof-of-concept experiments have already been tested and validated using rat models with Dr. Don Sin. In the second phase of testing, they will continue to optimize this application using small mice for physiological studies to check both safety and effectiveness of this new treatment method. IKOMED Technologies Inc. is the sponsor of this work and will be acknowledged in potential publications. The data collected may be used for future patenting of this new treatment technology.

Voir la description complète du projet
Superviseur du corps professoral :

Don Sin

Étudiant :

Partenaire :

IKOMED Technologies Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Achieving optimal diagnostic accuracy with quantitative electrophysiology

This project will perfect current quantitative electrophysiology technique (qEEGt) based on multivariate spectral analysis of magnetic-electrophysiology recordings to provide sensitive biomarkers for its use in the Precision Brain Health, including diagnostic, prediction, and intervention. We will take advantage of the Bayesian statistics to produce novel solutions and solve the main unresolved problems of quantitative electroencephalography (qEEG): issues of reference electrode, elimination of recording artifacts; improved estimation of neural source connectivity; identification of the relevant co-variables that are co-founding factors for prediction; identification of the most relevant features for detecting normal and abnormal brain states; integration of qEEG measures into disease progression model of aging to provide predictions of individualized brain health trajectories. The developed approach will be applied into the analysis of large data-sets of Alzheimer disease. This project will contribute to the Health Brain Health Life (HBHL) project and the joint Canada-Cuba-China brain imaging project as well.

Voir la description complète du projet
Superviseur du corps professoral :

Alan Evans

Étudiant :

Partenaire :

The University of Electronic Science and Technology of China

Discipline :

Engineering

Secteur :

Education

Université :

McGill University

Programme :

Globalink Research Award

Effects of a digital lifestyle change program on prediabetes indicators, health outcomes and cost effectiveness.

The number of Canadians living with diabetes is at an all-time high as are the consequential healthcare costs. A scalable solution to this public health crisis is needed. The aim of this research project is to evaluate Transform, a digital health program created by Blue Mesa Health. The program is designed to prevent diabetes by helping people adopt healthier lifestyles. By analyzing existing Transform participant metrics and program outcomes, the intern will seek to understand the nature of the program’s impact on diabetes prevention. A secondary evaluation of the potential return on investment from diabetes prevention will also be carried out. Blue Mesa Health seeks to develop a strong research portfolio on Transform in order to provide a high-quality intervention that is both effective and competitive. BMH has plans to begin serving Canadians in 2019. Establishing collaborative partnerships in the Canadian academic arena is valuable to the growth and success of the company.

Voir la description complète du projet
Superviseur du corps professoral :

Gerry Mugford

Étudiant :

Partenaire :

Blue Mesa Health

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Development and Optimization of Advanced High-Throughput Behavioural Testing Platforms for the Screening of Mouse Models of Schizophrenia

Operant chambers equipped with touchscreens are a new technology that has been used for the mass behavioural phenotyping of rodent models of neurological disease. These chambers have the potential to make behavioural testing more reliable, faster, and translationally valid to human cognitive testing. To further increase the utility of these systems, technology capable of tracking animal behaviour in the chamber will be integrated into the operant system. In order to measure neural activity in the touchscreen systems, fibre photometry will be incorporated to measure the neural activity of large structures, while mini-scope technology will be incorporated to measure neural activity of smaller circuits. All of these technologies will be applied to the screening of a newly developed mouse model of schizophrenia. Through this work, the partner organization will be able to optimize touchscreen technology and increase the overall utility of these high-throughput behavioural systems.

Voir la description complète du projet
Superviseur du corps professoral :

Timothy J Bussey;Lisa M Saksida

Étudiant :

Partenaire :

Lafayette Instrument Company

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

The University of Western Ontario

Programme :

Accelerate

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