Current cancer therapies rely on toxic chemotherapeutic agents that lack the potency and selectivity of protein-based therapy. Consequently, new technologies to systematically target cancer signaling pathways at the protein level are urgently needed. Dr. Zhang has developed a platform that consistently and successfully produces quick and cost-effective protein-based therapies that are both highly-binding and specific to the disease target.
Non-profit organizations play an increasingly important role in rural regions. Yet, these organizations are chronically lacking in capacity, including being both understaffed and underfinanced, as well as having high turnover rates and loss of institutional memory as a result. This research project aims to explore how non-profit organizations and charities in rural communities deliver their mandate in light of these challenges, with a particular emphasis on human resources.
Also known as Wachusko weesti, the Muskrat Hut project aims to design a sustainable, locally sourced four-season prototype unit that comprises a composting toilet, shower/sauna, heat source, energy source (solar and wind), and a kitchen area.
Karthik, an undergraduate student at National Institute of Technology in Hamirpur in India, has joined Associate Professor Andrew Park this summer for a 12-week Mitacs Globalink research internship. He’s helping to develop an algorithm that can accurately and precisely identify the most likely location of a potential sniper attack on a public gathering.
With one in four recent Canadian STEM graduates leaving the country, citing better job opportunities abroad*, talent migration affects us all. A shortage of talent in the fields of science, technology, engineering, and math constrains Canada’s potential for economic diversity, development, and innovation.
The Royal Bank of Canada (RBC) may have found a solution to Canadian brain drain. Its research and development unit, Borealis AI, supports innovation through scientific study and exploration in machine learning and artificial intelligence.
Lack of affordable, reliable access to the Internet in remote, rural, and Indigenous communities in Canada and internationally has led to a digital divide affecting billions. Left has developed its RightMesh technology, which lets nearby mobile devices connect without the Internet. Normally data flows from a phone, through Internet Service Providers (Telus, Shaw), to the cloud (Google, Amazon), and back to reach another person, despite being nearby. With the RightMesh network, data can flow from phone to phone to phone until it reaches the intended person.
Feather pecking (FP) in egg-laying hens, where individuals peck at other birds to pull out and eat their feathers, is a challenge for the sector with large economic and welfare implications. It is especially of concern in systems where birds are housed in large social groups as it is harder to control.
With new policies in Canada leading to the transition from conventional cage to alternative housing systems, it becomes imperative to reduce the risk of large scale FP outbreaks.
Convolutional neural networks (CNNs) are expressive function approximators that play an important role in solving modern computer vision tasks, such as object recognition, and even summarizing images in natural language. Given their broad utility, CNNs have already been deployed in performance-critical systems, such as autonomous vehicles. Unfortunately, these models are vulnerable to subtle perturbations of their input, and typically have unreliable confidence estimates.
How does policy created by the federal government impact local rural regions? What are the positive and negative implications of policy changes made in Ottawa? This research focuses on understanding the economic implications of changes in federal policies in rural areas. With better understanding, businesses and community serving organizations can better plan for economic implications emerging from policy change.
The Government of Canada has indicated the legalization of cannabis will take before summer 2018.
Dairy cattle are exposed to stressors that negatively impact health, fertility, welfare and production. Health and climate experts predict that exposure to stressors (i.e. pathogens and extreme temperature events) will increase as climate conditions continue to destabilize. Due to increased antimicrobial resistance, there is urgent need to explore alternative strategies to promote animal health; it is anticipated that genetic selection for increased stress resilience will yield healthier animals that will live longer and be more productive.