Innovative Projects Realized

Review of Patient Flow Management in Prince Edward Island (PEI)

The proposed research project aims to review the patient flow management structure on Prince Edward Island (PEI) while making recommendations for future directions to implement a 24/7 resilient patient bed-flow
framework. By developing this system the project seeks to optimize resource utilization, while enhancing patient care and outcomes. Through monitoring bed use and assessing trends in bed-flow systems, the project targets to reduce wait time by increasing access to beds for PEI patients. The ultimate goal of the project is therefore to provide timely and effective care to patients through a defined patient bed-flow model which can be implemented in similar health care jurisdictions across Canada. The project will assess the current system and recommend necessary improvements to ensure the right care is provided at the right time, in the right place.

Prediction of pericardial effusion using a 12-lead electrocardiogram analyzed by artificial intelligence

Our project emphasizes the integration of advanced artificial intelligence techniques with traditional diagnostic methods, fostering a synergy that enhances the accuracy and efficiency of cardiac health assessments. By leveraging the power of Artificial intelligence, specifically through the utilization of a Convolutional Neural Network (CNN), we can discern subtle patterns and nuances in ECG data that may not be readily apparent to human observers. This not only enables us to detect pericardial effusion cases earlier but also enhances our ability to classify them into distinct categories based on severity, such as identifying cases with hemodynamic compromise. Ultimately, this novel approach holds the potential to revolutionize diagnostic capabilities in cardiovascular health, leading to more precise and timely clinical decisions. Through collaboration with participating institutions, our project aims to not only advance medical research but also directly benefit patients by improving the accuracy of diagnosis and treatment in diverse cardiac scenarios.

Étude comparative de la performance des modèles non-gaussien dans l’évaluation des produits dérivés

Le but ce travail est de mettre en place une platforme qui integrerait efficacement plusieurs algorithmes d’evaluation des produits derives sous differents modeles non-gaussiens. Cette platforme cherche a etre une calculatrice des prix des options integrant des modeles de pointe pou servir d’aide a la comparaison empirique des point de depart de l’etude. Cette famille, introduite depuis deja quelques annees, contient des exemples de processus exponentiels Levy qui se demarquent par leur flexibilite comme odele des rendements financiers. Or l’evaluation des produits derives sous ces modeles implique des defis numeriques particuliers. Les prix des options, par exemple, peuvent etre calcules numeriquement par plusieurs approches qui comprennent les methodes d’inversion de transformees de Fourier et/ou des simulations. Un recensement des articles classiques sur le sujet servira de point de depart pour une etude qui devra s’eteindre pour inclure d’autres modeles exponentiels Levy et aux modeles a volatilite stochastique. Le critere de selection restant la tractabilite des modeles.

Artificial Intelligence for Sustainable Energy Production in Saskatchewan Province – Phase 1

A multidisciplinary study for the utilization of artificial intelligence for sustainable energy production in Saskatchewan Province is proposed. In this research, the Artificial Intelligence for Energy Team of the University of Regina will use AI technology to various sustainable energy resources, which including to empower the field of nuclear energy by optimizing the reactor design to improve the safety and economy of the reactor, to utilize artificial intelligent methods to optimize the hydrogen production from waste heat in a power plant, to utilize AI methods for efficient geothermal energy production and reservoir management, and finally optimize the production and utilization of wind and solar energy using AI technologies.

Fusion de données RFID et EMG pour la reconnaissance auto-supervisée d’intentions de gestes en temps réel par apprentissage profond

Au cours des dernières années, la recherche en reconnaissance gestuelle a connu une forte effervescence, principalement appuyée sur la démocratisation de l’intelligence artificielle. Cependant, les approches actuelles rencontrent souvent des défis en termes de robustesse et demandent un grand effort de calibration. Pour remédier à ces limitations, ce projet propose d’employer la fusion de signaux d’électromyographie (EMG) et les données d’identification par radiofréquence (RFID) comme fondation pour entraîner des réseaux profonds de reconnaissance de gestes. En intégrant les signaux EMG, qui capturent l’activité musculaire, et les données RFID, qui fournissent un contexte environnemental, le système est en mesure de contextualiser les signaux d’activité musculaire afin de mieux détecter les intentions de gestes de l’utilisateur. Cette fusion améliore non seulement la robustesse des systèmes de reconnaissance gestuelle, mais réduit également le fardeau de calibration manuelle, le rendant ainsi plus convivial et adaptable à différents environnements. En fin de compte, notre approche vise à ouvrir la voie à des interactions homme-machine plus intuitives et efficaces, avec des applications potentielles dans les soins de santé, les jeux et la robotique.

The Plasticene Ocean

Marine plastic pollution is a growing environmental concern that is plaguing coastal communities around the world. Remote locations face unequal waste burdens from the inequitable global flow of plastics and limited waste management infrastructure, causing social and environmental injustices. Small-scale fishers and rural coastal communities directly depend on a healthy marine ecosystem for subsistence and livelihood and are disproportionately impacted by this problem. Although much research has gone into marine plastics within biological contexts, the socio-cultural and economic impacts on humans are under- realized, particularly for overburdened and underserved communities. My ethnographic research will examine this problem through an anthropological lens by conducting fieldwork over the course of two months (May-June 2024) in heavily impacted locations on the Baja Peninsula in and around the region os Santa Rosalia, Mulege, Baja California Sur. I will apply a comparative analysis of the Gulf of California region, representing the domestic fishery and affiliate debris materials, and the Pacific coast which additionally reflects ocean-based materials of-foreign-origins washing ashore or domestic land-based materials washing down rivers…

L’enrichissement du corpus MONA et la contribution à l’univers des données liées

Les données liées, une partie du web sémantique, sont des données structurées et liées entre elles pour permettre des services se basant sur ces données qui sont plus intelligents. Plusieurs formes de données incompatibles existent pour décrire les œuvres d’art et les artistes dans les bases de données sur Internet. Cette recherche servira à développer une manière d’unifier automatiquement ces différentes formes de données ainsi qu’enrichir certaines bases de données (LINCS, wikidata) facilitant ainsi la recherche en histoire de l’art.

Establishing a 2024 baseline inventory of native biodiversity found around Alberta’s second largest conservation facility.

The Edmonton Valley Zoo and its team is passionate about the natural world and are always looking to find ways to promote environmental responsibility and reduce its own environmental footprint. Our Conservation team works to conserve species in the wild, through endangered species breeding programs, instituting green practices on site, and inspiring action by our visitors to protect habitat and wildlife. As a large Municipally run conservation facility located within Edmonton’s river valley – a regionally significant wildlife corridor – we are working to find ways to minimize our impact on the surrounding natural environment by implementing more native plantings and other nature based solutions across the site. This project will establish a methodology and monitoring program from which the Edmonton Valley Zoo can monitor trends in native biodiversity use as we work to improve our site naturalization and model native vegetation restoration practices for the 350,000 visitors/year that we educate about local wildlife and habitat conservation.

Examining The Effects of Dogs on Soil and Vegetation conditions within Off-leash Dog Parks in Edmonton

Dog ownership is increasing within our cities along with increasing usage of dog parks and off-leash areas. This increased usage is likely impacting the environment within these off-leash areas. Effects may include chemical and physical changes to the soil and vegetation that could lead to soil erosion and mortality of vegetation ranging from grasses to shrubs to trees. These effects may also lead to drainage issues which is a significant concern within urban areas. Understanding these impacts is key to developing an effective turf management strategy.

Proposition de modèle d’affaires pour Nova Musique

L’objectif du projet est de discuter et d’identifier le modèle d’affaires le plus adapté à Nova Musique ainsi qu’en identifier toutes les composantes.

Ce projet va comporter les étapes suivantes :
– Revue de littérature et études bibliographiques sur les types de modèle d’affaires, sur la situation des OBNL numériques au Québec ainsi que sur le contexte de Nova Musique en tant qu’OBNL pour l’enseignement musical au Québec
– Analyse du modèle d’affaires actuellement adopté par nova musique et étude de sa pertinence en lien avec la revue de littérature précédente et l’expérience acquise dans les tâches quotidiennes administratives au sein de Nova Musique
– Élection du type de modèle d’affaires le plus pertinent plus complétion de celui-ci considérant tous les éléments vus précédemment dans la littérature et au sein de Nova Musique
– Proposition d’évolution du modèle d’affaires dans le cas du passage de Nova Musique de l’OBNL au INC.

L’impact espéré est la définition précise d’un modèle d’affaires pour NovaMusique afin d’affiner la direction à prendre pour l’OBNL et les plans sur lesquels devraient se concentrer les efforts en termes de business management et développement mais également en termes d’innovation.

Developing an Active Worker Strategy for Office Workers

The overall goal for the Active Worker Strategy is to increase movement within the workplace. Office workers tend to be inactive within their working environment, which may cause an increased risk of developing work-related pain later in life. This investigation is going to look into creating office layout guidelines in order to promote a more active worker, and provide an early intervention to possible pain developers. Using technologies such as FitBits, we will attempt to better understand the amount of movement an office worker performs in a day. Mobility strategies will then be introduced to half of the participants to determine if education improves in-office mobility. In addition, it will be determined if worker anthropometric measures, lumbar/pelvis flexibility tests, and eVAS self-report of pain have a significant impact on identifying pain developers from non-pain developers.

Evocult

One major problem in the field of Cultural Evolution Studies is to find a reliable way to integrate the insight of the different disciplines studying aspects of the phenomena (have been identified as the primary “Grand challenge” by the practitioner in the field (Brewer et al., 2017)).

The aim of the project is to offer a precise account of the problem through computer-assisted means by (1) evaluating how does the meaning of core terminology in the field (“fitness”, “selection”, etc.) vary across authors, schools of thought, or subfields and (2) identifying the social structure of the field, and it’s influence the dissemination of knowledge in it.

The project will bring together the expertise of Vincent Larivière (Université de Montréal, Québec), a highly recognized bibliometrician and Charles H. Pence (Université Catholique de Louvain, Belgique), notably known for his work in experimental philosophy of science. That interdisciplinary collaboration will allow integration of both the social dimension and the epistemic one in studying knowledge integration dynamic in the field. By doing so, the expertise of both institution will be brought to light by increasing their respective visibility, especially in the domain of multilevel study of science.