Why is it important to fund Indigenous-led systems change?

Vancouver Foundation (VF)’s Indigenous-led systems change grants support organizations addressing structural inequalities and racism faced by Indigenous organizations in BC. These organizations have historically been marginalized, counted on few resources and spent much of their time reporting to donors and coping with other bureaucratic barriers. This research will bridge the gap by reviewing academic and […]

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Design and Optimization of Machine-Type Communication in LTE

Machine-to-machine (M2M) user equipments (UEs), which do not require a direct human interaction for communicating to each other, are predicted to have a large end-user market in the near future with numerous potential applications, such as home automation, patient monitoring, transportation, and smart metering. Currently, machine-type communication (MTC) is in the process of being standardized […]

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The Phone Oximeter, a Simple Mobile Device to Screen for Sleep Apnea in Children

The high prevalence of obstructive sleep apnea (OSA) poses a serious threat to the healthy growth and development of many children. The lack of oxygen during sleep can lead to daytime sleepiness, growth failure, behavioural problems and developmental delay. Polysomnography (PSG), the gold standard to diagnose OSA is high in cost, requires a well-equipped sleep […]

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To develop an AI model for predicting future lung cancer in low-dose screening CT

Screening with low-dose CT has been shown to significantly reduce lung cancer related mortality in high-risk ever-smokers. Interval cancer (IC) is a rising challenge in lung cancer screening because it usually presents in an advanced stage (stage III/IV non-small cell cancer) or is more biologically aggressive (i.e., small cell histology) and have a poorer prognosis […]

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A feasibility and acceptability study of implementing a Collaborative service robot in long-term care

Service robots can offer personalized service for people with disabilities and empower the staff with efficient support. This study investigates using a collaborative service robot, Aether in a long-term care home. We work collaboratively with people living with disabilities, families, frontline staff, operation leaders, and industry) to Identify user experience, impact and challenges to inform […]

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Design and synthesis of novel influenza M2 proton channel inhibitors with drug resistant antiviral activity

Seasonal influenza causes significant mortality and morbidity worldwide, and we are currently unprepared to mitigate a fatal pandemic outbreak like the 1918 Spanish Flu. A proven influenza antiviral target is the M2 viroporin, or viral ion channel. Amantadine, an M2 inhibitor was an effective antiviral for 20 years. However, current influenza antivirals are increasingly ineffective […]

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Machine learning applications to digital rock mechanics data

In rock engineering practice there is often insufficient time, schedule, and computational/expert resources to investigate complex rock mass phenomena in detail. The large amount of multivariate data that characterizes complex rock mass behaviour creates the ideal conditions to use machine learning. Machine learning allows for the use of all relevant data and can inform the […]

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Design and synthesis of well-defined sphingomyelins by a modular, divergent strategy

In 2021, over 2.2 billion doses of the Pfizer-BioNTech and Moderna COVID-19 vaccines were produced to combat a truly devastating pandemic. Such medications represent the fastest vaccines ever to be developed, with some of the highest efficiencies reported. The above vaccines contain messenger RNA (“mRNA”) trapped inside lipid nanoparticles (“LNPs”), which are globules composed of […]

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