Feather pecking (FP) in egg-laying hens, where individuals peck repetitively and excessively at other birds to pull out and eat their feathers, is a challenge for the industry with large economic and welfare implications. High prevalence of FP is reported (60-80%) and this is associated with mortality rates of up to 20-40%, which translates to hundreds of millions of birds dying due to FP every year.
Information published by financial news agencies is used as one of the inputs to make investment decisions. News articles from multiple sources can be used to gauge market sentiment towards an industry or a specific company. Deep learning techniques have been successful in producing state of the art results on various benchmark datasets (Dai & Le, 2015; Miyato et al., 2016). Most of the popular algorithms extract features from words, sentences or paragraphs and represent them as fixed-length vectors (Mikolov et al., 2013; Le & Mikolov, 2014).
Obesity and diabetes are leading nutrition-related disorders among pets in North America and have significant impacts on animal morbidity and mortality. The glycemic index, a measure of post-prandial blood glucose response, has been shown in humans to significantly impact glucose control, insulin sensitivity, weight management, and chronic disease risk. In pets, the effects of carbohydrates on health is an area of debate, though there is currently a lack of data to back up claims.
Medicago, a clinical-stage biopharmaceutical company, has the potential to rapidly develop a vaccine in response to a newly sequenced influenza strain, allowing for large-scale vaccination of the population very early during a pandemic. The company would like to know how many doses of vaccine is required and what distribution strategies should be used to maximize population-wide benefits of vaccination in the event of an influenza pandemic.
Our previous work has shown the promise of monodisperse phytoglycogen for many applications. However, these experiments only scratch the surface of potential uses since the chemistry of the particles (as extracted) is fixed. Nanoparticles offer very high surface areas, and glucose units are easily modifiable, thus there exist a multitude of ways to chemically modify the surface to produce a wide variety of new material properties.
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.
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.
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.
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.
The differences among todays 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.