Developing a real-time early warning system for potable water sources

Healthy freshwater ecosystem plays a vital role in every Canadian’s daily life as primary drinking water source and sustains the social and economic status of Canada. However, Canada’s freshwater ecosystem has been negatively impacted by population growth, urbanization, industrialization, agriculture, and climate changes.

High-speed interrogation of fiber Bragg grating based optical sensors

Brickeye has developed its optical data acquisition (ODAQ) system in conjunction with partners primarily in environmental remediation, for whom the system was optimized for supporting temperature measurement across multiple parallel channels (up to 48) at low speeds (0.2 Hz). Brickeye’s technological advancements have been primarily focused on system ruggedization for harsh environments and developing user-friendly hardware and software for non-expert users. The jump to include high-speed data acquisition, monitoring transient phenomena, and performing more complex data analysis (e.g.

Tools for monitoring the establishment and impacts of two biological control agents on introduced Phragmites australis in Ontario

Introduced Phragmites australis (common reed) is one of the most invasive plants in North America. The weed reduces native plant and animal diversity, disrupts ecosystem processes, and poses a threat to the native North American subspecies of common reed, P. australis ssp. americanus. Conventional methods for controlling introduced P. australis such as herbicides, cutting, and burning are prohibitively expensive, harmful to non-target species, and have seen little success.

Development of the SR.ai Sustainability Research and Investing Platform

The field of responsible investing is rapidly expanding, with even greater attention on the importance of responsible investment with each passing year, as seen most recently in the aftermath of the impactful 2021 COP26 summit, where responsible investment was key focal point. Directing our financial resources in a sustainable direction has the potential to have a massive impact on helping us meet the Sustainable Development Goals set forth by the UN.

Multi-QPU quantum algorithms for quantum dynamics simulations

Quantum computers have the potential to perform computational tasks which are impossible to solve on classical computers. One natural application of quantum computing is to use them for predicting how quantum mechanical systems (e.g., models of quantum magnetism or chemical molecules) evolve in time. However, existing quantum computers – so-called noisy intermediate-scale quantum (NISQ) devices – are not yet powerful enough to generally outperform classical computers. Scaling up is possible by connecting multiple quantum processing units (QPUs) together.

Oxygen saturation targets in hospitalized children with bronchiolitis: A multi-centre cohort study

Bronchiolitis is one of the most common causes of infant hospitalization and the costs associated with it are large. Since active treatments are mostly ineffective for bronchiolitis, supportive management (including oxygen saturation monitoring) is the main focus of inpatient management. However, ideal oxygen saturation targets for
infants hospitalized with bronchiolitis have not been established. This research study will aim to compare two oxygen target saturations of 90% while awake and asleep vs. 90% while awake and 88% while asleep.

Health Utilities to Inform Cancer Drug Funding Decision

Health Utilities (HUs) measure patient preferences and can be used to monitor quality-of-life (QoL) and calculate quality-adjusted life years (QALYs), which are used in economic evaluations assessing treatment interventions.

Further improvements of image analysis for multiplexed microarrays – Part 4

Microarray testing allows high-volume analysis. This work will develop tools for accelerated analysis and modifications to surfaces used within the partner facilities. The goal is to enhance the performance of current assay designs and to inform and guide the next-generation of assay designs (ie 384 well plates) which will support the partner’s technology leadership position. After implementing a print run and analysis using the current quality control protocols, data will be compared with existing results.

Investigating a Electromyography Based Electronic Textile for Diagnosis, Monitoring and Treatment of Chronic Pain

Central sensitization (CSens) is common in chronic pain conditions and causes people to feel a more intense pain. CSens is not well recognized by healthcare providers and is very difficult to treat with the currently available techniques. Methods of diagnosing CSens are of interest to pain researchers, but a great deal of work is required in the assessment of sensation and movement in chronic pain patients. Additionally, differences between each individual patient and the lack of development of technology is a problem.

Textile-based Delivery System for Functional Electrical Stimulation Therapy: Novel Electrodes and Compliant Conductors

Functional Electrical Stimulation (FES) is an effective technology for the therapy of patients who suffer from physical impairment. To increase the effectiveness of FES and reduce the cost of hospitalization, a new design is required for the remote and long-term application of FES so that the patients can easily undergo FES during their daily life activities without the need of clinical assistance. The goal of this project is to develop a smart wearable technology for long-term and remote application of FES.

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