Latex particles are widely applied in inkjet printing, painting, coating, lubrication and many other areas. The current process for latex production relies on emulsion formation and separation, requiring the use of organic solvents that are flammable and volatile with negative environmental impact. In their seminal work, Jessop et al reported switchable solvents that can be […]

Solar Energy is approved, as a significant player in most of development of experimental techniques. However, the usage of PCMs in the solar energy system needs an expensive cost. For this reason, a new numerical tool is necessary to minimize and choice the best PCMs in the gain of energy of the system. In our […]

ResolvMD is a medical software startup that is focused on building a disruptive solution to a multi-million dollar problem. Our product is a best in class billing solution that will serve to re-define the value proposition for how physicians understand their practice in a thoughtful, insightful and transparent way. As we transition technology along the […]

The specific aim of this study is to examine the demand for a social-network based dynamic ridesharing system called FacePorter. The study will also be focused on the role that social networks can play in facilitating this ride-sharing Program. The University of Calgary population will be examined as potential users for such service. A combination […]

Family Service Canada (FSC) is a Canadian nonprofit organization dedicated to building healthy families. One program delivered by FSC, called Family & Schools Together, has been shown to help families become more involved in their children’s education and support student’s learning but it has not yet been researched in Canada. To find out if this […]

As very large scale integrated circuit (VLSI) technology progresses, power consumption and power density of VLSI circuits increase when design complexity and transistor density increase. Low-power design becomes a major design challenge. Lowering the supply voltage is one of the most efficient ways to save power because power consumption is proportional to the square of […]

For IMPACT SOCIETY: Development of the business processes required to be a sustainable and growing organization. Focus will be on the development of the plans and implementation of key activities to expand the organizations reach, refine information systems, improve operations, and grow revenues. For GoodPin, the strategic analysis will focus on refining the sales cycle, […]

Digital Manufacturing is expensive due to the initial capital costs related to the digitally able machines and robots. This entails that the segment of the construction sector that is rapidly adopting these technologies to meet the productivity and ecological goals of the Construction Sector is largely restricted to large businesses – large Architectural, Engineering and […]

Intern will be managing Cold Garden events, and working with Digital Asset team updating Cold Garden’s website and making social media posts. The benefits to Cold Garden will be having additional team member to provide support to the owner and other teams within the organization.

Oil sand tailings could take ages to naturally dewater enough to be reclaimed. Finding ways to accelerate dewatering fluid tailings is crucial to improving overall reclamation planning and performance. The goal of the proposed project is to establish a new thermoanalytical technique for quantification and analysis of free and bound water contents in both individual […]

We have seen the recent surge of COVID-19 because we cannot afford another massive shut-down. A portable and timely detection device for the COVID-19 nucleic test is more desirable. In this proposal, we propose to develop an impedance-based nucleic acid testing device. Our LOC devices are low cost, user friendly alternatives to centralized lab tests. […]

When utilizing and implementing ML for prediction using administrative health data, two key issues are ML algorithm evaluation and generalizability21. Current approaches evaluate model performance by quantifying how closely the prediction made by the model matches known health outcomes. Evaluation metrics include sensitivity, specificity, and positive predictive value, as well as measures such as the […]