In this project, researchers from the NeuroFUS lab at the University of Calgary led by Dr. Pichardo and Dr. N’Djin’s group from LabTAU at INSERM and the University of Lyon collaborate to improve focused ultrasound (FUS) technology by characterizing a new ring-shaped transducer. FUS is a flexible technique that targets deep tissue with sound waves […]

As the economy in China has developed in recent years people are now paying more attention to quality of life. How people choose to spend their time and the social-economic factors influencing these choices are both key factors in shaping the well-being of the nation. Time-use survey, a statistical tool to measure time allocation on […]

This research will provide a real-time reinforcement cage quality monitoring framework for the construction of reinforced concrete structures, which is expected to improve the production quality of reinforced concrete products and reduce the workload of construction workers in the foreseeable future. Specifically, this research will (1) provide a rebar cage dimension measurement method based on […]

Le problème d’entretien hivernal des routes constitue un domaine de recherche crucial, où les chercheurs ont cherché à élaborer des stratégies novatrices pour gérer efficacement les ressources tout en garantissant un service de qualité. Les variations climatiques, les quantités variables de neige et les contraintes logistiques font de ce problème un terrain propice à l’application […]

How complex organs develop from a small set of undifferentiated cells is a fundamental question in biology. Genetic mutations that alter organs shape give us important insight to answer this question. This project aims to use CRISPR/CAS9 technology to introduce different types of genetic constructions into the model plant Arabidopsis thaliana to understand the development […]

This research proposal focuses on addressing the prevalent challenges associated with Proton Exchange Membrane Fuel Cells (PEMFCs), specifically targeting the reduction of greenhouse gas emissions. Despite significant advancements in performance and durability, particularly in automotive contexts, the high cost associated with essential materials for optimal functionality remains a formidable barrier. Notably, advancements in cathode gas […]

The surge in data-intensive machine learning (ML) applications necessitates effective incentives for data owners (DOs) to contribute data and train ML models collaboratively. The decision to participate in collaboration depends on the balance between utility gains and privacy loss. This project focuses on federated learning (FL), where DOs participate in collaborative learning without sharing raw […]

A collaboration between health geographers from Michigan State University and ornithologists from Carleton University, this proposed research project will investigate the factors influencing avian diversity and community composition in Detroit, MI. and the potential relationship between human health and access to biodiversity and nature. The results of this research project will lead to several high-quality […]