Diagnosing and managing concussions have become an increasing priority in sports medicine. The King-Devick test is a screening assessment of neurological functioning detecting impaired eye movements and saccades. During the 2016 Canadian Football League (CFL) season, all players will undergo pre-season (baseline) and post-injury testing with the King-Devick test in addition to the CFLs standardized medical evaluation for concussion. This project will conduct a sensitivity and specificity analysis of the King-Devick test to evaluate its effectiveness in diagnosis concussions.
This project will refine an existent technology developed by us for freeze-drying biological and medical solutions to produce powders. Freeze-dried bio-medical powders are used in pharmaceuticals as well as for food. The technology we will refine in this project is called atmospheric spray freeze drying (ASFD) and has the potential to be faster and more economical than current methods and to work for a wider variety of substances than allowed for by current methods. In this project, we will refine the monitoring and control components of the ADFD technology.
Reservoir operators typically determine flow releases by assessing the available storage and demand and then applying a rule?of?thumb. Thus, in spite of numerous previous and current computer modelling studies, the use of computer models in real?time reservoir operation on a district level is virtually nonexistent. The resulting water savings offer the opportunity to increase river flows, making greater volumes of water available to irrigated agriculture to reduce drought risks, or support irrigation sector expansion that meets all water licenses and in?stream water?quality objectives.
The main goal of this project is to develop a general set of computational solutions that could be used to prevent and manage emergency situations in transportation and water management networks by developing a monitoring and predictive model. This monitoring and predictive model will be based on topological data analysis (TDA) in a fashion similar to the model used in systems biology but here applied to Big Data provided by transportation, communication and water management systems.
Wetlands are habitats for many fishes, aquatic invertebrates, waterfowl, and other wildlife. Wetlands are also important for peoples daily lives. They can renovate freshwater, store flood, and provide fishery resources. However, wetlands are being destroyed and polluted at alarming rates worldwide. This research tries to understand the current wetlands extent and states in mid-Alberta, Canada. We use an emergent Unmanned Aerial System (UAS) and cutting-edge computer techniques to map wetland vegetation species and communities.
Data analysis and interpretation is a critical step in metabolomics. In metabolomics studies, large amounts of data must be evaluated by appropriate analytical tools in order to transform data into knowledge. Chenomx Inc. is a company that provides metabolomics research software and services. Its flagship software product Chenomx NMR Suite is an integrated set of tools for identifying and quantifying metabolites in Nuclear magnetic resonance (NMR) spectra.
This research project is focused on char, a carbon compound which is similar to activated carbon found in water filters such as Brita. This char is produced as a by-product of a municipal waste treatment processes. The char currently produced has high levels of naphthalene, the volatile organic compound used as the principal ingredient in mothballs. Naphthalene is slow to break down, and thus we want to limit its leaching into soils and waterways. One method to do this, is to combine it with cement to prevent water from contacting the material.
This project is designated to develop a next generation optimal two-dimensional energy management algorithm for a novel grid-connected thermal/electrical hybrid energy system. On-site implementation of the model and algorithm will be phased into a real community at an undisclosed location for performance evaluation.
The goal of the research undertaken as part of this project is to develop a system to measure soil properties in the field based on near infrared light reflectance. Using machine learning, the complex near infrared data can be turned into valuable soil analytical data. By supporting this research, Route 7 Inc. will obtain an innovative portable soil measurement system that will provide data on soil immediately in the field for much cheaper than currently used laboratory analytical testing. Using this system, Route 7 Inc.