Efficacy of Radiant Energy Veils in Multi-glazing Fenestration

Today buildings, which account for 40% of the total global energy consumption, constitute large glazing surfaces given that windows provide the necessary spacious feel and direct daylighting for occupants. However, 60% of the heat loss through its exterior surface is attributable to glazed surfaces (windows). Therefore, it is not surprising that advanced fenestration products have […]

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Investigating the Role of Heterodimeric Nodal/Gdf3 in the Maintenance of hESC Pluripotency

Pluripotency is the property by which immature cells can give rise to all specialized cell types within an adult organism. Human embryonic stem cells, or hESCs, are pluripotent cells which have remarkable potential in regenerative medicine. Clinical translation of stem cell therapy requires better culture conditions which properly maintain hESCs. One important regulator of pluripotency […]

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Data Analytics and Natural Language Processing for Courses Curriculum Design

Nowadays, we have gaps between job market demands and competencies that students acquire during their university studies. Course curricula in many cases lack practical content that is relevant for employers. With advances in data analytics algorithms efficiency and with automatic data collection from online resources such as online job postings and surveys, we plan to […]

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Highly Tuned Polymer Surfaces and Modified Polyserotonin Nanoparticle in inhibition of Bacterial Adhesion

The rise of pathogens increasingly resistant to all known antibiotics is becoming an alarming and pressing health care problem. Despite considerable efforts towards finding new antibiotics with novel targets; bacteria will eventually develop resistance against these new classes of drugs. Designing alternative therapeutics with much improved efficacy?without conferring further resistance?is therefore warranted. My research proposal […]

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Developing Cannabis resources for the 21st century

Over the past few years Cannabis has gone through a revolution with respect to its applications to both the medical and recreational markets. For legal reasons, much Cannabis genetics has been hap hazard but now with legalization scientific approaches can be used to develop useful Cannabis strains for the industry. In this proposal, we will […]

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Machine Learning Forecasting Techniques For Company Financial Fundamentals In Long-Term Value Investing

This project is addressing a deficit in the long-term valuation space for robust mathematics. Current techniques rely on very basic statistics and manually constructed spreadsheet models. This represents significant operational risk to investment firms. This project will seek to, using machine learning, develop accurate forecasting models for the financial fundamentals of companies in order to […]

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Quantum Resources Required for GKP Qubits

Qubits are fundamental units for quantum computation. Photonics is a promising physical medium to realize large-scale quantum computation. One proposal to realize photonic qubits was proposed by Gottesman, Kitaev and Preskill (GKP). Here, the logical qubit is encoded into states of a bosonic mode or a quantum harmonic oscillator. It is expected that such a […]

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My Wellness Journey: A Health Promotion Study for Children and Youth with Disabilities

The purpose of this project is to support the development of wellness-focused interventions, including weight management, mental health and social well-being for children with intellectual and developmental disabilities (IDD). To date, the focus of health promotion interventions have primarily focused on typically developing children and adolescents, rather than those with IDD. The partner organization, Special […]

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Automatic construction layout marking using ground and aerial vehicles

The proposed research aims to map and locate pollutant sources by deploying a team of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) after a natural or human induced disaster in order to sense, assess and aid in search-and-rescue operations. We aim to use a heterogeneous team, armed with an array of gaseous and […]

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Attenuation of cortisol in ring-tailed lemurs (Lemur catta) during the breeding season and associated cognitive abilities

Ring-tail lemurs (Lemur catta) are a highly social species with distinct breeding seasons. During the breeding season, ring-tail lemurs have been shown to experience elevated fecal glucocorticoid concentrations, a known marker of physiological stress. The social buffering literature suggests that some of this stress may be alleviated by increased levels of oxytocin, a hormone that […]

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Deep Portfolio Model

Portfolio management is a well-known multi-factor optimization problem, which involves historical price data, macroeconomic data and market indicators. Many researches have been conducted to find optimal portfolio allocation using machine learning. However, some limitations still exist, such as incorporating multiple factors into a single model, the robustness for encountering economic events, and potential bias by […]

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Using chemokines to enhance DC-based cell therapy

Immune therapies for cancer are in their early stages and require further investigation to improve their function. Chemokines and their receptors are responsible for directing white blood cells to various parts of the body. Because they are so important in controlling the immune response, they make ideal targets for therapy. To exploit this, we aim […]

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