An integrated methodology and platform are proposed to improve circular engineering of the built environment to reduce construction waste, carbon emissions, and costs associated with the adaptation of dated existing buildings. Novel design methodologies and technologies are explored for optimizing design option generation using various spatial, environmental and economic factors simultaneously.
Pharmacists are providing increasingly patient-centered clinical services such as Pharmacists Prescribing for Minor Ailments (PPMA). However, several factors delay pharmacists’ ability to implement PPMA including integration with workflow and time constrains. Technology solutions aim to support PPMA can be important innovative tools to help pharmacists to perform PPMA. The aim of this project is to examine the feasibility and potential impact of a new clinical innovative software tool to support pharmacists for minor ailment prescribing.
The Fundamental Review of the Trading Book (FRTB) is a set of regulations by the Basel committee, which is expected to be implemented by banks by 2022. The regulation targets market risk management in banking industry. The regulation targets market risk management in banking industry. According to FRTB, banks must decompose funds that can be looked through into their constituents and determines the relevant capital requirements as if the underlying position were held directly by the bank.
Gene therapy has the potential to effectively treat a wide range of ocular disorders. However, the introduction of foreign therapeutic genes to cells is incredibly challenging. Compared to viral vectors, non-viral vectors (NVV) are far less immunogenic and less toxic. However, NVV are less efficient than viral vectors at delivering therapeutic genes because they must overcome numerous cellular barriers. An appropriate design of the components of the NVV will enhance the properties of the vector to improve delivery into the cell.
With the advances of microscopy techniques, scientists can monitor the neurons in large brain areas of living animals. But at the same time, it creates significant challenges for scientists to make sense of the generated data due to its scale and complexity. This calls for new componential methods and systems for augmenting the current workflows of neuroscientists. This research aims to address this problem by leveraging and innovating advanced machine learning and visualization techniques.
In the first phase of this project, we will explore and optimize the application of commercially available hollow particles to increase the sound absorption properties of polyisobutylene-based corrosion protective coatings manufactured by Canusa-CPS. In the second phase, we will use a blending strategy in which we mix a base polymer of the coating with a partially miscible polymer with significantly different damping properties such as polyisoprene to enhance the sound absorption properties of the coating.
Bacterial cultures are sometimes added to groundwater to increase the rate of degradation of contaminants. Three cultures that are able to completely biodegrade their primary compound to non-toxic end products in the absence of oxygen have been enriched from contaminated soils. The goal of this project is to demonstrate the efficacy of these cultures in a controlled field experiment. High resolution temporal and spatial data will be collected to estimate degradation rates, and support a process level understanding.
Technological advancements have profoundly altered the lives of children and youth in the 21st century. While there are undeniable harms associated with excessive screen use, digital media has positively transformed how children learn, make friends, and interact with society. Research has firmly established the benefits of technology-based learning for young people’s reasoning and thinking abilities, and preliminary evidence also suggests that some digital media activities may improve children’s mental health.
Aqua-Cell Energy, the partner organization, is developing low cost batteries that utilize safe chemicals and have a unique design. The technology being developed can enable large amounts of energy to be stored at a low cost. When using lithium ion batteries, the current industry standard technology, it is expensive to store large amounts of energy and there are significant fire safety concerns.
We are building a machine-learning algorithm to be able to understand the unstructured clinical notes better and to identify the most appropriate ICD codes for each visit. This algorithm will help healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick patients are, what procedures are performed and how patients are improving over time.