The Greater Fredericton Social Innovation (GFSI) team and its partners have developed an open-access data repository called the Community Prosperity Hub, launched in 2023. This Hub is still in development but to-date it serves as a powerful tool for nonprofits in the Greater Fredericton area by making socioeconomic data accessible through user-friendly visualizations, summaries, and […]

Today’s high performance computers offer the possibility of computing complex large scale computational fluid dynamics (CFD) simulations in a reasonable time. In practice, exploting the thousands of computing cores to achieve the desired solution time is very challenging. These challenges include finding enough work to keep all these cores busy, and assigning work to different […]

Optimizing an interaction to achieve the highest possible performance is desirable for many applications. For instance, even minor improvements in the mapping between a computer mouse’s movement and a cursor on a screen can significantly enhance comfort and usability. Similarly, better mapping an operator’s joystick inputs to crane movements could boost productivity. Both examples emphasize […]

The proposed project aims to protect and restore habitat for aquatic species at risk such as the shortnose sturgeon and yellow lampmussel within the Nerepis River Watershed over a three-year timeline. This unique river system is not only crucial for aquatic species but also supports the habitat of many terrestrial species at risk. The river […]

The project will recruit and interview staff at a number of long-term care (LTC) facilities about their experience of making difficult, ethical decisions. Materials from these interviews will be used to write a number of case studies, which participants will then discuss in focus groups. All interviews and focus groups will be recorded and transcribed. […]

With an ever-expanding list of critical materials and minerals, it is crucial to find sustainable material solutions to well-established industrial requirements. High-entropy materials, i.e. materials that mix 5 or more constituents in near equi-atomic proportions, could mitigate these issues by offering highly resistant and stable materials. As a result, addressing the issues of critical materials […]

Herein, we propose the lead optimization of novel antitubercular quinolone compounds targeting the DprE1 enzyme; an important enzyme in Mtb cell wall biosynthesis. The previously synthesised compounds exhibited sub-micromolar activity against the wild type (H37Rv) Mycobacterium (Mtb) strain. The lead compound in the series further exhibited activity against resistant fluoroquinolone Mtb strains and it binding […]

This project aims to enhance malware detection capabilities through the use of quantum neural networks (QNNs) and quantum machine learning (QML), leveraging quantum computing principles for superior performance compared to classical neural networks. As cyber threats become increasingly sophisticated, QNNs and QML present promising opportunities for breakthroughs in identifying and analyzing malicious activities. We will […]

I will be studying chromosomal inversions in cod. A chromosomal inversion is a segment of the genome that is flipped. A key feature of inversions is that they rarely undergo recombination which causes them to evolve separately. Recombination is the point in cell division when genetic material mixes between two chromosomes to create new combinations […]

Our mission at Opal Family Services is to help individuals with disabilities, and their families, to thrive. Opal Family Services has been serving our community of Greater Fredericton since 1984. When it was founded, the purpose was to provide quality respite to families caring for loved ones with disabilities. Through our numerous programs, we continue […]

Problem Statement: The healthcare sector faces a significant challenge with high rates of work-related musculoskeletal disorders, largely attributed to patient handling (PH) tasks. Existing studies have highlighted this issue, underscoring the need for technological interventions to effectively reduce injuries associated with patient handling. Objectives and Activities: This proposal focuses on investigating the Vendlet technology, designed […]

Multisource Multi Modal RAG framework: The project will focus on developing a Retrieval-Augmented Generation (RAG) system that can effectively combine and synthesize information from multiple sources within M-Files, utilizing multiple Large Language Models (LLMs) for enhanced accuracy and context. The research will address challenges related to integrating and harmonizing disparate document formats, sources of information […]