Heterogeneity of cell populations is a common occurrence in bioreactor operations (Lara et al., 2006) and is typically caused by processing of cell cultures in vessels of varying sizes and process conditions and by deficient mixing. Most bioreactor research deals with average conditions of the cell population with respect to quantities such as dissolved oxygen and extracellular nutrient level, while these averages actually correspond to very different distributions of individual cell growth and productivity.
Waste heat boilers provide an important function in many industries, taking hot process flows and cooling them down while at the same time creating valuable steam which can be used to save power in other parts of the plant. This project will use Computational Multiphysics Simulations (CMS) to model the inner workings of these important boilers. CMS uses a mix of theoretical and experimental equations to model real world fluids, particularly how they move, boil, and spread heat.
Shape memory alloys (SMAs) are metallic alloys which can undergo deformation and return to their original form when heated above their characteristic transformation temperature. Due to their unique properties, SMAs have found use in the aerospace, robotics, biomedical, and automotive industries, among others. Traditional SMAs are limited to one distinct transformation temperature per individual component, limiting their potential applications. Smarter Alloys Inc.
The healthcare industry is shifting from randomized controlled trials (RCTs) care to real world data (RWD) to understand how well an intervention performs in clinical practice. The best source of RWD is source data â that is, data that are collected at the interface of the patient and the health care system.
Aqueous rechargeable lithium battery has received great attention recently due to the less toxicity, lower cost and higher safety compared to the non-aqueous systems. When using the commercially available lithium manganese oxide as active materials, there are demands in suppressing manganese dissolution and graphite consumption in the cathode. As a potential solution to achieve these goals, in this proposal, two dimensional graphene materials are integrated on the surface of the cathode, forming a hybrid cathode aqueous battery.
The internâs study builds on an international survey previously completed in partnership with ICLEI. The study aims to test key structural features in the partnerships for implementing community sustainability plans and how these features are related to plan outcomes (i.e., sustainability progress). To study structure features, the intern will test key factors, such as partner engagement, decision-making systems, communication process & monitoring/reporting procedures, and their relationships with outcomes. This will be done through statistical analysis. The ways community resources (e.g.
The performance of non-precious metal catalysts (NPMCs) for proton exchange membrane fuel cell (PEMFC) has now reached a stage at which they can be considered as possible alternatives to expensive Pt, especially for low power applications. However, despite significant efforts on catalyst development in the past, only limited studies have been performed on NPMC-based electrode designs. Thus, it is required to develop an effective NPMC-based electrode that can correctly balance the complex parameters to maximize the performance it can bring.
As a result of recent advances in high-throughput technologies, rapidly increasing amounts of mass spectrometry (MS) data pose new opportunities as well as challenges to existing analysis methods. Novel computational approaches are needed to take advantage of latest breakthroughs in high-performance computing for the large-scale analysis of big data from MS-based proteomics. In this project, we aim to develop new applications of deep learning and neural networks for the analysis of MS data.
In collaboration with University of Waterloo-Mitacs researcher, Yael Zilberman-Simakov, LeNano's portable device tests blood for a specific biomarker, a type of protein, elevated by the onset of heart failure. “If a patient has a higher-than-usual concentration of the biomarker, they are at an increased risk of having heart failure,” says Yael. “Similar to how glucose levels should be monitored among diabetic patients, this type of protein needs to be checked every day.Compared to a lab test, personal test devices like LeNano's are faster, simpler, and more convenient.
The proposed research project targets anomaly detection of event data. The project has a duration of six months and aims to achieve two objectives: (1) to evaluate the effectiveness of a novel approach for real-world data, and (2) compare it to alternative methods. The intern will use existing research resources, and will apply them to real-world data provided by the partner, Acerta Analytics Solutions, Inc. to evaluate the different methods.