Technologically Assisted Mindfulness Meditation for Older Adults

Mindfulness meditation has recently received considerable interest in clinical and in broader contexts for its mental health and cognitive benefits. It has been proposed that giving people feedback about their meditation relevant brain activity during or after meditation can help people learn this difficult skill, and initial work looks promising, but there are a number […]

Read More
Economic Impact of Tourism in Kingston

At this juncture, much data on tourism in Kingston has been collected. However, no appropriate statistical method and analysis has been implemented yet to understand these data. The current project thus aims to create a benchmark for tourism data for Kingston by adopting various modelling techniques (e.g., Hierarchical Linear Modelling (Gelman, 2007), Multilevel Modeling (Green […]

Read More
The effect of phyto-cannabinoids on osteoclast differentiation and function

The recent legalization of marijuana in Canada opens the opportunity to study in detail the effects of cannabinoids on human physiology. This academic-industry initiative will combine resources to isolate compounds from cannabinoids to study their effects on bone cells. Specifically it will examine the effects of cannabinoid compounds on how the destructive osteoclasts form and […]

Read More
An examination of physical activity discussions in mental health care

It is well known that physical activity can confer many health benefits, both physically and mentally. However, individuals with serious mental illness are less active than the general population. This is particularly troubling as this population tends to have many physical health co-morbidities such as metabolic syndrome and type 2 diabetes. It is logical that […]

Read More
The Morphology of Non-canonical Imperfect Subjunctives in Spanish

The project addresses a theoretical issue that arises due to somewhat ‘unexpected’ uses of the imperfect subjunctive verbal form, quisiera, in Spanish. In the descriptive linguistic literature, it is noted that, quisiera, can be used for a conditional (e.g., I would do) or past perfect (e.g., I had done) meaning depending on the variety of […]

Read More
The Impact of Pre-Project Planning and Upfront Investment on Construction Project Delivery Efficiencies

Cost overruns, schedule delays, and sometimes disputes and even litigations have been a pervasive issue in Canadian construction industry. This applied research study is commissioned to establish a solid empirical relationship between project delivery efficiencies and project owners’ upfront investment on design and consulting services. The study plans to employ personal interviews, project database development, […]

Read More
Developing a Simulation Model for Electrostatic Charging in Gas-Solid Flows

Electrostatic charging can occur when any kind of solid particles, from grains in silos to powders in chemical plants, undergo a lot of collisions through movement or mixing. Particle charging can create some serious challenges – highly charged particles can stick to surfaces and hinder industrial processes, and in some cases can create sparks that […]

Read More
Development of protein and carbohydrate complexation delivery systems for improving the transport, stability, and efficacy of plant immune aids

While modern pesticides have dramatically improved crop yields and food security, the challenges of emerging pest resistance, environmental run-off, and the need to help crops better cope with weather-related stresses like drought and extreme heat all demand new solutions. Our partner, Suncor, has recently developed a new class of plant immune aids that activate a […]

Read More
Forecast of User’s Water Consumption

The main objective and outcome of the proposed research project will try to develop a model that will be able to predict the water consumption level of users as well as the station. Deliverables of the project will be reports, presentation and a software solution that will include a model for the forecast of water […]

Read More
Predicting recovery from concussion during military cadet training using multimodal MRI data and machine learning

In the military, concussions are common and many occur while non-deployed, including during cadet training exercises. For the majority of those with concussions, symptoms resolve on their own but for a “miserable minority” symptoms persist beyond the typical 3-month recovery period, impacting quality of life. Most concussion research produces group level inferences which cannot be […]

Read More
Machine learning towards intelligent steel refining processes

In the steelmaking industry, process control models need to be based on a sound physical understanding of the process but should also account for many uncertainties due to the nature and complexity of the environment in which the process is carried out. As a result, it is crucial to extract useful process control information from […]

Read More