Social connections, especially satisfying romantic relationships, are vital for health and well-being. Yet, couples are spending increasingly more time apart, limiting opportunities for connection and intimacy. However, engaging in shared novel activities (i.e. self-expanding activities) can help couples connect and maintain their relationship over time. Indeed, couples who experience more self-expanding opportunities in relationships feel closer to their partner and are more satisfied and connected in their relationship.
Copper has long been proposed to have important biological properties. Designed to deliver the health benefits of copper, CuTEC yarn is a USPTO|EPO patent pending, bio-engineered copper-based yarn that can be produced as products such as clothing and mattress ticking. Although many believe in the positive properties of copper for well-being, many remain retiscent to believe strong anecdotal evidence with regards to benefits of exposing skin to a pure metal or metal alloy.
Generative models enable the researchers to address multiple problems spanning from noise removal to generating novel samples with properties of the domain. Generative models are commonly studied for images and in this project the idea will be expanded to 3D structures or volumes. Single-particle cryo-electron microscopy (cryo-EM) is a technique to estimate accurate 3D structures of biological molecules which is used by practitioners in fields like precision medicine. This allows them to design drugs that could cure patients with rare diseases and avoid side effects.
Ishita Saraswat, a senior undergraduate student from Dayalbagh Educational Institute Dayalbagh, Agra in India and her Tunisian peer, Aymen Brahim from the University of Sfax’s National School of Electronics and Telecommunication (ENET’COM)are Mitacs Globalink Interns who have discovered that the best approach is to identify the problem and implement the solution at the same time via an online app.
As an analytical platform, the Sanofi Pasteur Analytical Sciences (Toronto) Molecular Biology Centre (MBC) is applying and optimizing the use of high-throughput sequencing (HTS). The detection of adventitious viruses in biological products relies on a set of methods defined by the regulatory agencies called the compendial methods. High-throughput sequencing has the potential to improve the current breadth of detection and to remove some poorly performing compendial in vivo animal tests.
Since 2016, the Molecular Biology Centre has used HTS for the detection of adventitious viruses.
Hockey parents are worried about rising concussion rates. Currently no sports equipment protects against concussions. Hockey players aged under 18, must wear a neck guard for protection against skate blade cuts. Recently, a redesigned hockey neck guard, using an impact sensor and airbag technology was conceptualized. We want to test whether airbag inflation upon direct or indirect hit to the head/face/neck/upper body, can simulate neck bracing, and reduce neck injuries and concussion risk caused by whiplash or rotational movement of the head/neck.
There are numerous financial goals that most Canadians face. Retirement, funding post high school education, managing debt, purchasing appropriate amounts of insurance and saving for lump sum purchases. Each of these goals has various accounts and savings vehicles associated with them. The research projects we are proposing will help Canadians define their own financial situation, focus on their goals in the optimal order, and best utilize savings vehicles and government benefits to best meet their goals. Glencairn Financial Inc.
Slave labour continues to be used in business settings around the world and is often linked to society through the supply chains for consumer goods. Yet, the issue of slavery in modern society (modern slavery), despite its ties to business settings, has received very little attention in societies around the around.
With the fast growing information available on the web, students are often greeted with countless learning materials. As such, personalization is an essential strategy for facilitating relevant learning materials to satisfy students needs. The scope of this project is to design a recommendation system by using a deep learning process for personalized learning based on a quiz module. At the end of the project, we would be able to determine how students like to learn and to evolve the learning path based on strengths to enhance the learning experiences.
Many new pharmaceuticals are based on large biomolecules like proteins. Even small differences in the protein structure can cause significant changes in the efficacy and safety of these drugs. Furthermore, these large molecules are difficult to characterize without advanced instrumentation and methods. Current technologies still struggle with robustness and reproducibility. This study aims to introduce new technology to improve the reliability of protein pharmaceutical characterization.