Exploring the Use of Simulation-Based Learning with Community-based Settings to Promote Clinical Practice Competencies in Practitioners: PART 2

This project seeks to answer the overarching research question, how can the use of simulation-based learning (SBL) within a community-based setting improve access to training and the development of clinical practice competencies in practitioners (e.g. social work/psychology students/professionals). The project will expand access to experiential learning within a community-based setting using multiple modalities within the area of SBL (live, in-person, virtual, and gaming simulations) to increase access to training and upskilling opportunities for both student and professionals.

Methane Assisted Catalytic Upgrading of Extra Heavy Crudes under Moderate Conditions

Vacuum residue (VR) is the heaviest part of crude oil accounting for a large proportion in modern refineries, while its utilization routes are generally of low efficiency and high energy intensity, and thus economically and environmentally unfavorable. Similarly, bitumen recovered from Steam-assisted gravity drainage (SAGD) process experiences high viscosity and density as well as high content of impurities and thus diluent is often needed for its transportation with additional cost and environmental concerns.

Increasing Engagement and Reducing Barriers to Participation among Immigrant Voters in Canadian Big-City Elections

In this mixed-methods study, we aim to identify specific experiences and institutional barriers that prevent recent immigrants from engaging with and participating in municipal elections in the city of Calgary, Alberta. Using a systematic literature review and data from focus groups and in-depth interviews in Calgary, we will first develop a list of the concrete local factors that reduce interest and engagement in municipal elections among new Canadians.

Data Driven Transit Signal Priority Reliability Analysis

This study will analyse Calgary Transit’s bus operations on The City’s road network. Intersections and road segments will be categorized based on Level of Service (LOS) based performance indicators such as bus travel time and schedule adherence. The outcomes of the analysis will indicate whether a particular intersection needs transit signal priority (TSP) to improve its LOS. Intersections will be ranked then from least critical to most critical to aid in identifying intersections vulnerable to severe delay at the network level.

The influence of early-life gut microbiome disruption on HPA stress axisdysregulation and allergic asthma - Year two

Asthma affects 1 in 8 Canadian children and is the leading cause of pediatric hospitalizations with costs to Canadian health caresystems estimated to exceed 4.2Billion/year by 2030. While the causes are still debated, infant prematurity is a strong predictor forasthma.

OPERA – Optimization of Predictive Electrocardiographic Risk Analysis

Sudden cardiac death (SCD) is a leading cause of mortality in Canada and globally, accounting for nearly half of all cardiac deaths. Alterations in beat structure (morphology), caused by the heart’s electrical system and autonomic nervous system, and the left ventricle ejection fraction are significant risk markers proposed to identify those at risk of SCD. Historically neither alone have provided sufficient accuracy in predicting SCD.

New Generation Membrane Electrode Assembly using Novel Nanoporous Carbon Scaffold

Hydrogen fuel cells (HFCs) are clean and efficient energy conversion devices that produce electricity from green hydrogen with zero carbon emissions. Currently, the catalyst layers in HFCs are composed of Pt-decorated carbon powders mixed with an ion conducting polymer (ionomer), leading to uncontrolled distribution of each phase and significant tortuosity due to the complex pores and pathways between particles. The membrane electrode assembly (MEA) is the core component of a HFC that plays the most critical role in the HFC performance and lifetime.

Harnessing seismic ambient noise with fibre optic technology to monitor tailings dams

Tailings dams, built to retain waste from mining ore, form some of the largest engineered structures in the world. Compared to conventional water storage dams, the rate of tailings dam failures is significantly higher. This research aims to advance best practices for monitoring tailings dams using a novel methodology combining fibre optics with geophysical methods. This method will be applied to understand changes in shear wave velocities at the site over a four-month period, which will be related to changes in the rigidity of the tailings dam.

Protein profiling of blood samples of patients with mild traumatic brain injury

Mild traumatic brain injury (mTBI) and sports-related concussion have complex and variable neuronal pathophysiology. Despite extensive attempts for discovery and identification of protein biomarkers in the blood of concussion patients, the success of proteins markers is limited due to the heterogeneity and complexity of concussion. There are still no reliable protein biomarkers that can accurately diagnose sport-related concussion and to distinguish complicated and uncomplicated concussion.

Improving performance of recycled asphalt applications with bitumen and asphaltenes mix

New innovative technology is proposed for Recycled Asphalt Shingles (RAS) to produce cold mix asphalt (CMA) for dust control in unpaved roads. This novel method will design a mix of bitumen/RAS/water emulsions that break in a controlled manner upon field application. The effect of asphaltenes, petroleum solvents, emulsifier type, concentration and properties, and the preparation conditions, such as agitation speed, temperature, and the order in which components are added on the performance of the emulsions will be evaluated.