Recurrent Deep Architectures for Modeling Time Series Data

Deep learning is currently the dominant machine learning technique as a result of state of the art performance in vision (Russakovsky, et al., 2015), speech (Amodei, et al., 2015) and natural language processing (Vinyals et al., 2015). The improvement in performance of these models is attributed to the availability of large datasets for training the models as well as software & hardware improvements that help accelerate the training process. Recurrent Neural Networks (RNNs) are one of the most powerful and popular frameworks for modeling sequential data such as speech and text.

Resisted sprinting and ischemic preconditioning as ergogenic aids in high-level sprinters

With a rise in talent and the number of youths participating in athletics, Canada has a seemingly bright future in track and field at the international level. With the abundance of talent, it is important to improve the resources available to our competitors to continue promoting excellence. We propose to study two novel protocols which can be performed immediately prior to competition in order to enhance performance. Resisted sprinting, which involves sprinting with a weighted sled or using a training device such as the 1080-Sprint is the first protocol under examination.

One-Way Degassing Valve Design, Function and Application in Coffee Packaging

The purpose of this study is to gather information relating to the one-way degassing valves used within the coffee industry in order to improve upon current designs. This will be achieved through studying the opening/closing properties of commercial valves, as well as using a model system to elucidate the effects of valve components on these properties, as a function of pressure, rate of pressure change, and temperature. The study will also investigate flow behavior of different food grade sealing fluids within the model valve system, as a function of pressure and temperature.

Mathematical modeling of B-vitamin supply in dairy cows

The B vitamin requirements of cattle were traditionally satisfied via rumen microbial synthesis. However, the B vitamin demands of the modern high producing dairy cow now exceed the synthesis rate by rumen microbes, leading to sub-optimal milk production and efficiency. An increased understanding of dietary factors driving ruminal synthesis and use of B vitamins will help identify when supplementation will benefit the cow. Although B vitamin kinetics in the dairy cow have not previously been modelled, data on concentrations and flows are available from extant sources.

Generation Z: Understanding Canada’s Newest Youth Generation

The differences among today’s multiple generations of workers, such as Baby Boomers, Generation X and Millennials have received a great amount of attention from the media, business best-sellers and academic researchers. Much of the recent existing research has documented perceived and observed characteristics of the millennial generation (those born in the 1908s and after), who are said to differ from preceding generations in their perspectives on work and life in general.

Early warning indicators as tools for freshwater monitoring

A myriad of environmental stressors are threatening freshwater ecosystems. However, monitoring the impacts of these stressors on economically and culturally important native fish populations remains a challenge. Ontario is a large province with hundreds of thousands of lakes, yet knowledge of ecological structure across lakes is limited, particularly for remote lakes in the Far North. The proposed research seeks to develop new, cost-effective indicators of fish population and freshwater ecosystem change, which are based on food web theory.

Review of Effectiveness of Investments in Renewable Energy for Social and Affordable Housing

This research will identify best practices for the design of renewable energy investment programs targeting the social housing sector. Involving mixed methods of research, including literature review, interjurisdictional scan, and strategic interviews with third party experts, the research will result in a set of actionable recommendations for provincial and federal governments, municipal social housing authorities, and other third party private sector actors involved in the renewable energy and social housing sectors.

Sport-for-resilience: 4-H participation and youth lifeskill development

The current wellbeing crisis in Canada is magnified in rural areas. Also, rural economies are negatively affected by lack of suitable youth lifeskill training. Rural communities lack financial capital to address these issues on their own. 4-H has been building rural youth skill for over 100 years, offering a variety of options, including physical activities which occur on farms such as horse activity. For rural youth, there is potential for 4-H physical activity programs to be sport-for-development- a field combining physical activity and lifeskill development.

Fate of Salmonella during storage and brewing on tea blends

Tea is often considered as a healthy drink that is rich in antioxidants and other health constituents. However, tea can become contaminated during production and pathogens such as Salmonella can persist over extended storage periods. The true risk of Salmonella linked to tea is unclear as on one side, the beverage is brewed in hot water and although contains natural antimicrobials. However, on the other hand, Salmonella can become heat resistant in the dry state that could enable survival during brewing.

Characterization of the colloidal properties of concentrated casein micelles and improvement of the functionality of concentrated milk products using membrane filtration

The project aims at obtaining new ingredients from concentrated milk, and understanding how changes in their physical and chemical properties may affect their functionality. Membrane filtration processes are widespread in the dairy industry and they are all based on physical separation of the components because of their size. During these processes, the protein particles in milk become concentrated and the physical properties and composition of the concentrates will change. We are proposing to study how such systems may be stabilized and used as ingredients in the dairy industry.

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