Recruitment in cavity-nesting ducks along the lower Saint John River floodplain

Waterfowl are important to many people, organizations and cultures for their beauty, hunting opportunities and environmental importance. While these species are prevalent and well-studied throughout North America, what actually governs the growth and declines are still heavily debated. This work will address this issue by examining some possible population drivers in three waterfowl species (wood […]

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Develop a Rule-based Entity Recognition Model for Unstructured Data in Artificio Platform

Preparing and analyzing unstructured data from various documents (e.g. leasing agreements, engineering drawings, etc.) is time consuming and difficult task for any organization or businesses. Artificio platform developed/created by ERP Solutions2go (dba BizTech2Go) will help the businesses or enterprises in automating this tedious process, the manual data entry process , and seamlessly integrate the same […]

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Centralized and Decentralized Waste and stormwater Treatment Intensification

Carbon, nitrogen, phosphorus and micropollutants are primary environmental stressors that pollute lakes, drinking water wells, and streams. They originate from human activities and come through point and non-point sources. In the case of point sources, wastewater treatment plants (WWTPs) must remove these stressors before discharge into water bodies. Driven by population increase and climate change, […]

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Solar Open Access Resource: SOAR – Snow and PV system reliability

There is a large interest in the more accurate snow loss estimates for solar photovoltaic (PV) systems as large-scale deployments move into northern latitudes. There have been many studies on different types of PV systems and different types of modules. Preliminary results show bifacial modules may clear snow faster than monofacial PV. This study will […]

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Product quality development for a corrosion performance prediction software through implementing innovative real-time corrosion data analysis

The developed software product by the qualiTEAS team requires more data to train machine learning-based algorithms. The general objective of this project is to improve the final product of the qualiTEAS team through implementing the innovative design of experiment techniques. The current project will help the qualiTEAS team overcome current challenges and barriers towards improving […]

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Understanding diverse COVID-19 outcomes at the cellular and molecular level

Approximately 40% of COVID-19 survivors experience the Post-Acute Sequelae of COVID-19 (LONG-COVID-19) or Long COVID. It is currently not possible to predict who will become long-haulers and continue to experience symptoms that last for weeks or even months. The goal of this project is to better understand the molecular underpinnings of diverse patient outcomes in […]

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Chemical and biological conversion of mussel processing by-products into new value streams in agriculture

Atlantic Canada’s fishery industries have been identified as key sectors where market demand is expected to increase. PEI mussel and shellfish production employ over a thousand employees, and contributes in excess of CAD$60 million to PEI’s coastal and rural communities. Production of Atlantic Canadian shellfish has tripled since 1995 and is expected to continue growing […]

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Conducting Indigenous Mentorship Program with IndegenousTech.ai

IndigenousTech.ai Corporation (IndigenousTech.ai) is part of a consortium including Forrest Green Resource Management Corp. (Forrest Green RMC). Forrest Green RMC is one of the entities inside of the Forrest Green Group of Companies which specializes in credit data and analytics. IndigenousTech.ai has completed the application process in Ontario to become Canada’s first Indigenous controlled consumer […]

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