Maximizing the Efficacy of Buying Sustainably via the Stocate Platform

We spend money everyday. How can we make sure that those purchases are responsible? The financial power of consumer purchases could fund our transition to a sustainable society. However, a lack of transparency regarding the inputs, processes, and impacts of our purchasing decisions makes it difficult to choose sustainable options. This project will develop an evaluation system which combines accuracy and simplicity to help people buy sustainably via a user-friendly app and website.

The Next Generation Agriculture: Role of functional endophytic microbiome in Cannabis varieties against mycotoxigenic fungi and Powdery mildew.

Recent publications have surveyed cannabis flower microbiological communities, detecting several concerning genera like Aspergillus spp., Penicillium spp. Clostridium, Eschericia, Salmonella and Staphyloccus. There are several documented cannabis complications and even fatalities due to Aspergillosis in immuno-compromised patients. One must also recognize that strict and nonspecific microbial regulations can eliminate the use of beneficial microorganisms in agriculture and deliver unforeseen consequences in the marketplace.

Spectral fingerprint of soybean experiencing abiotic and biotic stress

Soybean is the fourth most planted field crop in Canada, contributing more than $5.5 billion to Canada’s gross domestic product and supporting more than 50,000 jobs. The soybean crop is susceptible to damage from drought and heat waves, as well as diseases caused by root-parasitic nematodes and fungal pathogens. The project seeks to develop a rapid diagnostic tool, based on drone spectral technology, that can detect and diagnose the stresses that are occurring in agricultural fields.

High heat flux microprocessor cooling using binary fluid mixtures - Year two

As the heat fluxes produced by modern high-performance microprocessors continue to rise, so too must the effectiveness of the removal of these fluxes. Accordingly, a large amount of research has focused on developing techniques to enhance cooling in computer systems. A novel method of doing so involves replacing the single-phase liquid or two phase-liquid vapor coolants typically employed in such systems with binary fluid mixtures.

Optimized lighting and defoliation strategies to increase yield and chemical uniformity in Cannabis sativa

Cannabinoid uniformity plays an important role on the quality and marketability of cannabis. Several strategies to optimize cannabinoid uniformity have not been extensively researched to date. The objective of this study is to evaluate lighting and defoliation strategies to maximize yield and uniformity of cannabinoids throughout cannabis plants. A randomized block design will be used to separate treatments. Each table will contain four lighting treatments which include HPS overhead, LED overhead, HPS with LED interlight and LED with LED interlight treatments.

Multi-Functional Life Cycle Assessment (LCA) of the HubTrack helical transmission system for its application in transportation sector

With the latest measurements and experimental tests, we have strong evidence that the HubTrack is energy efficient and ecologically sound for a multi-functional transportation solution.

Audience Engagement in Virtual/Hybrid Performances

The COVID-19 pandemic has accelerated an increasing dependance on the digital realm, with the performing arts and entertainment industry being forced to reinvent themselves in order to stay relevant. The advent of immersive technologies, such as virtual reality, has provided both artistic and economic potential to create virtual and hybrid shows, but it is unclear how this drastic change in format may impact the viewer’s engagement in the resulting performances.

Risk-based evaluation and optimization of friction devices for seismic retrofits of non-ductile building structures in Canada

Canada’s early-designed public buildings (i.e., schools and hospitals) are at significant risk of seismic damage and collapse. The installation of seismic protective devices, such as friction devices designed and manufactured by Quaketek Inc, offers a viable strategy to mitigate the seismic risk of building structures. However, the practical use of friction devices has commonly relied on prescriptive approaches that engage a small number of earthquake ground motions, which fall short of tackling several critical challenges.

Dilution prediction and reduction in underground mines based on stoping methods using artificial intelligence

Given that dilution is a problem that reduces the profit of many underground operations, the dilution monitoring, prediction, and reduction convey the capability to increase operational efficiency. The proposed research aims to develop an unplanned dilution monitoring, prediction, and reduction tool. The research methodology will be based on artificial intelligence (AI)-based models. More specifically, the research will focus on the applicability of ensemble classifiers, naive Bayes classifiers, logistic regression, and neural networks.

Re-imagining knowledge mobilization in a carbon-constrained world: A study of academic conferencing in the sustainability sciences

Academic conferences are important forums for researchers, policymakers, and practitioners to exchange knowledge and address real-world challenges. Especially for early career scholars and scientists in parts of the global South, attending conferences is a vital part of their career development. However, going to a conference often involves long-distance air travel, so the benefits of attending need to be weighed up against its environmental impact.

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