Elaboration of a Phase II clinical study protocol for the treatment of metastatic non-small cell lung cancer (NSCLC) using AB-16B5, an epithelial to mesenchymal transition (EMT) inhibitor, in combination with docetaxel

The molecular mechanisms responsible for the occurrence of metastatic cancer are beginning to be elucidated with the identification of key regulators. Increasing evidence points to tumor cell epithelial to mesenchymal transition (EMT) as an important contributing process to metastatic evolution. The identification of factors that are stimulated during EMT might provide the means to develop […]

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NOVA (Network Optimized Video Analytics)

Project NOVA will build on the University of Ottawa and Ciena’s advanced analytics capabilities to allow networks around the world to understand where video flows run over their network.  This will allow the network operators to improve video Qualify of Experience for their end customers, more quickly and cost effectively fix video impacting network problems, […]

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Modeling regime changes to improve portfolio diversification and performance

Asset allocation – the decision of how to divide a portfolio among the major asset classes such as cash, stocks and bonds – is a key determinant of portfolio performance. Because financial markets go through periods of strong and weak economies, the performance of an asset class varies with shifting economic conditions. These regime shifts […]

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ParticipACTION Physical Activity Report Card for Children and Youth and the Global Matrix 3.0: Evaluation and Strategic Harmonization

Global levels of childhood physical activity are declining while sedentary behaviours are rising, leading to the global increase in non-communicable disease. The aim of this project is two-fold: 1. to contribute to childhood physical activity promotion in Canada and worldwide, and 2. to contribute to the international diffusion of the scientific knowledge concerning childhood physical […]

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The Impact of Knowledge Transfer in International Business on Early Childhood Education

This research focuses on three substantive areas (1) curriculum and instruction in early childhood education, (2) international relationships and partnerships in international business and (3) business management in knowledge transfers related to the challenges and possibilities of how early childhood education engages the various national settings in the global context. This study will identify the […]

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A Deep Learning Approach to Soft Sensor Design and Process Optimization for an Industrial Nickel Extraction Process

The objective of this project is to use artificial intelligence (AI) approaches to solve complex industrial problems. The two biggest advantages of AI-based approaches are the ability to continuously learn and also learn adequately from historical data. Traditionally, many process information are unmeasurable during live operations because of instrumentation limitations. Also, plants are not sufficiently […]

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Silicon Quantum Dot Trace Explosive Sensor

Development and testing of a trace explosive sensor based on silicon nanomaterials or quantum dots. The project will involve interaction and pilot testing with the RCMP and Transport Canada. The success of the project will enable Applied Quantum Materials to introduce a new product into the security marketplace and form a platform technology for the […]

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Understanding the scope for innovations in vaccine technology in the swine industry

Pig production is a vital component of the Canadian agricultural sector. Airborne bacterial pathogens Haemophilus parasuis, Actinobacillus pleuropneumoniae and Actinobacillus suis are major causes of swine respiratory disease and cause rapidly progressing systemic infections that lead to significant morbidity and mortality. We are developing engineered subunit vaccines that can simultaneously target all three pathogens and […]

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Maintenance Recommendation – Downtime Adaptive Learning

Time Series is a sequence of records and observations ordered in time. For instance, feedback from a sensor with timestamps can be considered a time series set. Studying Time Series can help with the predicting and understanding of a system and its behaviour. It can also be used to control the mechanism. In the past, […]

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Quantifying soil organic carbon sequestration performance of the City of Calgary Willow Biomass and Marginal Land Reclamation Demonstration Project: Assessing provincial carbon emissions offset credit opportunities

The emerging emissions trading market provides the province of Alberta an opportunity to diversify its economy and drive climate change mitigation innovation. By improving the carbon credit generating efficiency, more economic opportunities and carbon sequestration industrial applications become feasible. The City of Calgary Dewatered Biosolids Land Application – Willow Biomass and Marginal Land Reclamation Demonstration […]

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