The “Assessing forest harvesting impacts on furbearer habitat at the scale of Indigenous traplines - A case study in Indigenous consultation and forest conservation” project is planned to enhance the understanding of Indigenous rights holders concerning forest management activities that impact the distribution of forest types and ages upon which the forest dwelling wildlife that sustain traditional trapping and harvesting depend.
A successful computer application can easily have millions of users, but handling the network traffic generated by millions of users is not easy. The server system has to be well designed in order to properly process large, concurrent, and distributed data streams without affecting user experience. In addition, users do not generate data constantly, they often put a burst of load on the network instead. Therefore, the server system needs to be scalable as well.
The purpose of this project is to identify bees and evaluate plant-pollinator networks based on the biomonitoring surveys conducted at the Meadoway in 2020-2021 with the Toronto and Region Conservation Authority (TRCA). The aim of these surveys is to develop a baseline understanding of bee diversity in The Meadoway and evaluate the effects of plant mix, restoration age, and management regime to improve TRCA best practices for future projects. The intern will conduct timed bee surveys at the Meadoway at sites 1-5 years post restoration and on specific flowers.
The proposed research seeks to learn more about the ways Sponsorship Agreement Holders (SAHs), collaborate with Constituent Groups (CGs) and Co-sponsors to sponsor refugees to resettle in Canada. For this project, the Canadian Unitarian Council (CUC), will be used as a case study. Given the limited capacity and resources that SAHs have available to them to do this humanitarian work, building effective systems of collaboration between all sponsors is important.
The project aims to study the use of advanced machine learning algorithms to enhance the ability of TRCA to detect shoreline erosion. Accurate detection of shoreline erosion will have significant contribution to optimizing TRCA asset management plans. This will enable TRCA to work with local communities to reduce the impacts of climate change on shoreline erosion, which in turn will help safe shoreline properties and community spaces from increased erosion. The accurate perdition of erosion will also enable TRCA to develop effective plans to protect natural habitat.
One of ten Canadians will experience trauma at least once in their lives and will develop post-traumatic stress disorder (PTSD). Many people cannot access PTSD care because of the high cost, long-waiting time, stigma and other barriers etc. Amygdala (deep brain) is important to traumatic emotions and memories. One way to access these memories is to use bi-lateral eye movements. Eye Movement Desensitization & Reprocessing (EMDR) is a well-established treatment for PTSD.
The global burden of hepatocellular carcinoma (HCC) is increasing as it has become the second leading cause of cancer-relateddeaths and the fifth most common cancer worldwide. HCC is heterogenous, arising in the setting of various chronic liver diseasessuch as hepatitis C, non-alcoholic fatty liver disease and cirrhosis. Patients with cirrhosis who develop cancer cannot tolerate therapydue to inadequate liver function.
Ribosome biosynthesis is one of the most multifaceted and energy-demanding processes in biology. It involves over 250 factors that transiently associate with the nascent pre-ribosome in a well-orchestrated manner. Importantly, increased ribosome biogenesis has a critical role in cancer initiation and progression. Owing to the advances in cryo-electron microscopy, this pathway's detailed mechanism started to be revealed, setting the grounds for new therapeutic interventions. The current project seeks to develop chemical probes for WD repeat proteins, a new drug target class.
While taking foreign language tests, people may record responses with different background noises. The contaminated audios can lead to unusual results in speech recognition and scoring by the scoring systems. Pearson would like to develop a more robust system for the automated speech recognition machine to work with clean and noisy records. Audio files are typically from 5 to 90 seconds long. There are popular softwares which are built to address these problems, but their results need to be tested with the particular kinds of inputs that is obtained as test responses.
Accurately recommending items of interests is essential for users to improve their experience. To acquire better performance, a recommender system can utilize multiple sources of data and the social knowledge graph. This can lead to efficient use of information to improve the recommender system. By exploring the data and extract crucial features to feed to designed models, the recommending engine can increase its performance dramatically. Furthermore, a social knowledge graph contains the description and relation of users, which can act as a knowledge base for inference.