In this project, we aim to numerically analyze the following conjecture “optimal flows for energy transfer correspond to reconnection of anti-parallel vortex tubes”. We will be tackling this optimization problem using a novel method employed by Professor Protas’ research group over the past few years. This project comes as a way to maintain a strong […]

Our proposed project will examine how invasive species spread. We plan to address this question by studying an invasive fish species, the round goby, and compare individuals at the invasion front with individuals in the established areas of the range on two continents (Europe and North America). Our aim is to determine if there is […]

Major depression (MDD) is a chronic psychiatric disorder. The aim of this project is to examine the link between specific molecular alterations and neuropathology in the brain in patients with MDD. We will use post-mortem brains that were collected by the Sao Paulo autopsy service. More specifically, oxidative modifications to proteins and lipids, and levels […]

For over twenty years, Social Capital Partners has invested in projects and people with the goal of using our capital to create more economic opportunity. We have chosen to take risks, try things that others are not doing, and co-design solutions with our partners that can be scaled. We invest where we are uniquely placed […]

This project “Multimodal RAG Explainability (MRAGE)” aims to develop an interactive tool for explaining Large Multimodal Models (LMMs) augmented with retrieval capabilities. LMMs represent a significant advancement in AI, capable of understanding and generating content across multiple modalities like text and images. By employing the retrieval-augmented generation (RAG) methodology, this project queries external knowledge sources […]

It is shown that the rapid administration of treatment in acute stroke patients improves clinical outcomes. In particular, the time it takes to administer treatment once the patient has arrived at the Emergency Department with stroke symptoms is called Door to Needle Time (DTN). The median DTN time at the Grand River Hospital (GRH) currently […]

Personalized ad targeting is one of the most important features to ensure a successful advertising campaign—e.g., F-150 ford pickup trucks are best shown to construction workers than teenage girls. Another important aspect of ad personalization is frequency capping the ads. For example, showing the same ad 100 times to 1 user will result in not […]

This project aims to develop a method for delivering reprogramming transcription factor genes to astrocytes in the central nervous system using Intelligent Phagemid-Assembled Gene Expression (iPhAGE) technology. By constructing specific gene blocks and fusion helper plasmids, synthesizing iPhAGE DNA, and purifying iPhAGE preparations, the project seeks to enhance transfection efficiency and assess immune responses and […]

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The project “Developing Data Strategies to Enable Healthcare Machine Learning” aims to develop effective strategies to collect, curate, and maintain data in healthcare. A data strategy which enables Artificial Intelligence (AI)/Machine Learning (ML) models plays a pivotal role in building response healthcare solutions. The project is focused on understanding the fairness aspects of care quality […]

This project aims to develop a system that improves how robots with restricted operating ranges plan their indoor paths for cleaning or surveying. By dividing indoor spaces into manageable areas, the system will enable robots to complete their jobs more efficiently, optimally covering all necessary ground. This project involves both algorithm development and its implementation […]

Cyanobacterial and microalgal host cells produce a range of bioactive compounds that makes them good candidates for drug discovery. At the same time, they themselves get infected by a range of different viruses. This means that understanding the interplay of these hosts with the viruses that infect them is crucial in order to optimize bioactive […]