Diseases, such as inflammatory bowel disease, rheumatoid arthritis, and osteoarthritis have been widely impacted by the pathogenesis of inflammation. After traditional therapy, most of the time dying cells stimulate inflammatory effects which results the reduction of therapeutic effect and enhances the drug resistance. That is why treatment often requires frequent or continuous high-dosage administration of anti-inflammatory drugs. Efficient delivery of anti-inflammatory drugs to the targeted sites can reduce medical dosage and improve therapeutic effect.
In 1982 theoretical physicist Richard Feynman stated, “Nature isn’t classical … and if you want to make a simulation of nature, you’d better make it quantum mechanical”. The goal of this Mitacs internship project is to do just that. This project focuses on simulating quantum systems on a quantum computer – a new kind of computer that operates using the physics of quantum mechanics. There has been much progress in the development of algorithms for simulating quantum mechanics on a quantum computer, yet in practice there aren’t much of these algorithms that have been implemented.
The goal for this project is to support the research of three master’s students whose work would help advance the methods for estimating – using energy-economy-emissions models – the likely emissions, economic and equity impacts of GHG-reducing policies by governments at three levels in Canada: federal, provincial-territorial, municipal. The modelling innovations and applications from these three interns will improve Canada’s ability to achieve its GHG commitments, notably its net-zero by 2050 target.
Growing antibiotic resistance is a major threat to global public health. One way to combat this problem is through the development of antibiotics that act against bacteria in new ways. Historically, antibiotics work by interacting with proteins in the bacteria, which are needed for the cells to reproduce. However, recently, it has been shown that molecules that interact with RNA rather than proteins can also inhibit bacterial growth and reproduction.
The objective of this project is to create market sentiment indicators for cryptocurrencies. Market sentiment indicators are built from text analysis of exchanges on Twitter and other sources, that may include embedded or references images (e.g., price curves) and videos. The text dataset for cryptocurrencies may have a very structure from that of traditional currencies. For example, cryptocurrency tweets may reference ‘mining’, which is a concept that does not exist for traditional currencies.
Remotely Piloted Aircraft (RPA) or drones have numerous applications in different industries. Data-based agriculture is an emerging field that can widely benefit from the drone technology through accurate data collection via drones. However, drones have limitations like short flight time, limited flight range, and they are prone to failure. To mitigate these limitations, we propose using a cooperative group of drones. The resulting parallel operation increases the efficiency and reduces required flight time.
This project is intended to discover new drugs to treat bone diseases. Getting drugs too bone is very difficult due to poor vascularization of bones and require high doses of a potent drug which can lead to unacceptable side effects. This project intends to design, synthesize and characterize novel “bone-targeting prodrugs” to treat osteoporosis, help repair bone fractures and injuries and to treat bone cancers. These prodrugs will bind selectively to bones and then slowly release the active drugs over days and weeks so as to provide enhanced efficacy and reduced side effects.
Chemotherapy is the most commonly used method for treating different cancer types that involves the delivery of chemotherapeutic drugs, leading to the death of cancer cells. However, the non-uniform distribution of chemotherapeutic drugs within the tumor and systemic toxicity has multiple side effects, and the delivery problem remains unsolved. Drug delivery carriers such as liposomes are used to deliver the drug to the targeted regions. To this end, a controlled and reliable release of the loaded chemotherapeutic drugs from a liposome core has remained a problem to overcome.
Poor physical recovery, especially in remote rehabilitation, is the problem that will be addressed in this project.This project is Phase I of development of Fun-exercise module. Fun-exercise system uses gamification to boost patients’ adherence to their prescribed home-exercises. To achieve this goal, Fun-exercise will use mentally stimulating and customizable games paired with a set of wearable sensors to provide feedback to ensure activities are being done correctly. In phase I, patient study and conceptual design of the Fun-exercise module will be undertaken.
The most popular type of 3D printing globally uses plastic filament. Historically, this has been done with only one plastic at a time. 3D printers can now use multiple materials and/or colors to be part of a single print. Unfortunately, today multi-material 3D printing results in a lost of waste plastic and the associated environmental problems. Each time a material change happens, waste is produced through nozzle priming and/or purging to get rid of the last material. 3D printing software typically changes the material on each layer meaning that every layer, a lot of plastic is wasted.