Near-infrared (NIR) imaging systems play a vital role in human tissue imaging. These systems can facilitate various vital clinical applications. Such applications enable real-time metabolic monitoring, non-invasive imaging of the lymphatic system, and mapping of microvasculature blood flow. In this research, the problem to be addressed is the lack of accessibility to cheap near infrared (NIR) imaging systems used for regular health examinations. This is especially true for the people residing in remote areas.

Ground engaging tools (GET), working under severe wear conditions, sometimes fail shortly after putting into service by fracturing at crawler shoes or severe wear at shovel teeth. The problem can be partially solved by improving the toughness of crawler shoes and shovel teeth. This proposal addresses the problem by developing a new heat-treatment procedure to improve the toughness. The specific method to achieve such an improvement will be deep cryogenic treatment, i.e., cooling down to -180 C.

This project between the Evaluation Capacity Network (ECN) at the University of Alberta and the Alberta Mentoring Partnership (AMP) has 3 objectives: (1) support AMP and its partner organizations in implementing a
community-based evaluation of their new Mentoring for Youth and Young Adults from Care (MYYAC) program; (1a) provide evaluation capacity building supports to facilitate the evaluation; (2) research how participatory
evaluation and other evaluation capacity building processes build evaluation capacity; and (3) document processes of decolonizing and Indigenizing evaluation and evaluati

Excessive use of antimicrobials results in the evolution of antimicrobial resistant microbes, and the infection caused by such microbes are known as antimicrobial resistant (AMR) infections. AMR infections are on the rise and has a negative impact on the quality of life, healthcare system and ultimately on the economy. The current proposal aims at the external activation of one’s immune system as an alternative to the use of antimicrobials to treat AMR infections.

In the energy sector, developing renewable energies such as carbon capture and utilization (CCU), bioenergy (biogas, biofuels, or green bio-chemicals), and hydrogen-based technology depends on improving catalytic technology. Technology providers in these sustainable areas are focused on developing better catalytic technology, while stakeholders must decide which technology to bet on.

Health disparities between Indigenous and non-Indigenous populations continue to widen and are especially apparent when considering women’s health during pregnancy. Major gaps exist in research about perinatal care in Indigenous communities. Improved perinatal care and a greater understanding of how to effectively work in this context is desperately needed. This research explores how culturally-appropriate, community-led and supportive perinatal care impact the health and wellbeing of pregnant First Nations women and their families.

Cultural food insecurity, which is the inability to acquire, afford, and eat the traditional foods of one's ethnic origin is a form of food insecurity that disproportionately affects new immigrant, especially the Black identifying Canadians. However, research that explores alternative ways to diversity Canadian food systems to accommodate new immigrants and to allow for smooth transition and integration of African immigrants are limited.

As Canada's economy and population continue to rise, primarily due to substantial immigration, there is an urgent need for new infrastructure, in particular, in remote regions of Canada. This can be achieved through advanced technologies to improve productivity of the Canadian construction industry while reducing the environmental impact of construction. This project proposes the Self-Deployable and Reconfigurable Structures (SDRS) where a ready-to-install building unit capable of deploying itself without the need for on-site construction machinery or labour.

Drillhole samples and remote sensing surveys provide information on subsurface resources for mineral resource estimation, mine planning, and project evaluation. The collection of this data is expensive but necessary to evaluate mineral resources and build mine plans. Additional data collected reduces subsurface uncertainty but is expensive to collect. Machine learning algorithms are becoming common in subsurface modeling workflows and as tools to assist decision making, but these algorithms perform better with access to more training data.

The project will assess the impact and sustainability of Drayton Valley’s Zero-Fee Tuition Program. The intern for this project will complete individual and group interviews with 6-8 students enrolled in the Zero-Fee Program who have received up to $5,000 to cover their post-secondary tuition. Participants will be graduates of the Health-Care Aide training program at the time of data collection. Interviews will explore participants’ experiences with their education. The intern will also collect data on employment outcomes for graduates.