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Now showing items 61-70 of 133
Implementation strategies used to reduce Unplanned Extubations (UPE) in the Neonatal Intensive Care Unit at The Hospital for Sick Children (SickKids)
(2021-09-01)
This study analyzed unplanned extubation (UPE) reduction strategies as well as patient characteristics and other risk factors for all UPEs that occurred between January 1, 2007 and December 31, 2019 in the neonatal intensive ...
Monolayer terpyridyl metal complexes for high-efficiency electrochromic materials
(2021-08-01)
Electrochromic materials (ECMs) can change their color with changes of applied electrochemical potential. Currently, the use of ECMs in the industry is limited to mainly inorganic metal oxides, conjugated conducting polymers, ...
A deep learning approach to focal cortical dysplasia segmentation in children with medically intractable epilepsy
(2021-08-01)
Paediatric epilepsy is one of the most common neurological disorders and has major impact on the cognition and quality of life of children. Focal Cortical Dysplasia (FCD) is one of the most common causes of medically ...
Echo: reconstructing gameplay sessions for analysis
(2021-04-01)
We created Echo, a tool designed to help bridge the gap between game analytics and video footage analysis. Echo reconstructs gameplay sessions from recorded data and presents them with their original graphics. A comparative ...
Group representation learning for group recommendation
(2021-01-01)
Group recommender systems facilitate group decision making for a set of individuals (e.g., a group of friends, a team, a corporation, etc.). Existing group recommendation methods mostly learn group members' individual ...
Development of polymeric nano-composite fiber based structures for acoustics and filtration applications
(2021-08-01)
Electrospinning lab-scale experimental set-up was developed for manufacturing polymeric nanofiber composites for acoustics and filtration applications. In this study, nanofiber membranes were fabricated using two types of ...
On deep learning in physics
(2021-04-01)
Machine learning, and most notably deep neural networks, have seen unprecedented success in recent years due to their ability to learn complex nonlinear mappings by ingesting large amounts of data through the process of ...
The synthesis and in vivo evaluation of chemically modified siRNAs that contain red-shifted internal azobenzene derivative spacers for selective and tunable photocontrol of activity without UV light
(2021-08-01)
Short interfering RNAs (siRNAs) are biopolymers that are used for post-transcriptional gene regulation and act as endogenous defenses against attack from viruses and dsRNA parasites. The siRNA field is making advances for ...
Computational methods for medical image registration
(2021-04-01)
A significant amount of research has been dedicated to the improvement of techniques in the field of medical image analysis. Imaging modalities have been improved and new acquisition methods have been introduced to reveal ...
Investigating the distribution of Nitellopsis obtusa in Ontario Lakes and its role as an ecosystem engineer
(2021-08-01)
Nitellopsis obtusa is a non-native macrophyte introduced into the Laurentian Great Lakes in 1974. Over the last decade, increasing reports emerged for N. obtusa within lakes in the Great Lakes Basin. Despite N. obtusa being ...