This project will support Propel Impact in engaging and building relationships with organizations advancing impact investing in underserved communities.
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This project will support Propel Impact in engaging and building relationships with organizations advancing impact investing in underserved communities.
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Osteogenesis Imperfecta (OI) is a rare genetic condition that leads to brittle bones and mild to severe bone deformities. People with OI often experience pain, discrimination, fear of breaking bones, and frequent hospitalizations. Because the condition is rare, the experiences of children with OI are not well understood by healthcare providers, who often lack guidelines […]
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Conception avancée d’un drone multi-tâches d’urgence pour les situations de désastres qui pour une prise en charge clinique du patient allant du monitoring, traitement et transport (i.e.: Drone Alpha de Vimy Multi-Système; Modélisation et prototype). Ce projet s’insère dans la R&D de moyens de prise en charge de blessés en situation de catastrophes dont la […]
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Delivery of safe drinking water is an essential public service, and distribution systems are a critical control point for the protection of public health. Distribution systems encounter issues such as aging infrastructure leading to leaks and breaks, pressure management problems, and maintaining water quality during transit to consumers. These problems collectively impact the safety, efficiency, […]
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Recent studies in the field of biodiesel production emphasize the use of waste materials, such as used cooking oils and agricultural by-products like banana peels, to enhance sustainability and reduce environmental impacts. Researchers are exploring innovative methods to utilize these waste materials both as raw materials and catalysts, thereby promoting a circular economy. The latest […]
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Global production and subsequent waste of plastic products, like those in synthetic clothing, has been growing at an exponential rate over the last several decades. Researchers have found polyester microfibers of textile origin throughout the ocean, including the deep ocean and pristine waters of the Arctic Ocean. However, we do not yet know the specific […]
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Global production and subsequent waste of plastic products, like those in synthetic clothing, has been growing at an exponential rate over the last several decades. Researchers have found polyester microfibers of textile origin throughout the ocean, including the deep ocean and pristine waters of the Arctic Ocean. However, we do not yet know the specific […]
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Potato (Solanum tuberosum) molecular defense response to microbial fungicide Bacillus amyloliquefaciens under greenhouse conditions This project is a collaboration between Dalhousie University and the Arctic University of Norway. Under the tutelage of Dr. Laura Jaakola, Research Leader and professor of plant biology at the Climate Laboratory, the intern will attend the Environmental Molecular Genetics course […]
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This project will support Propel Impact in engaging and building relationships with organizations advancing impact investing and impact measurement in Newfoundland and Labrador.
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This project has two main goals: 1- to create SCI’s Strategic and Business plans, and Operational policies, and white papers to distribute widely, establishing “best practices” to foster EDIARD at our foundations and in the music industry more broadly. 2 – to research and produce music and cultural knowledge documenting and celebrating diverse communities, while […]
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La consommation d’énergie résidentielle est responsable d’une part considérable des émissions de gaz à effet de serre (GES) des ménages. La majeure partie de cette consommation provient de sources d’énergies fossiles. Une transition rapide et profonde de la consommation des énergies fossiles vers des énergies renouvelables et de l’adoption des technologies facilitatrices peut contribuer de […]
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This research project will systematically evaluate data-driven mode decomposition techniques (POD, Spectral POD (SPOD), finite impulse response SPOD (FIR-SPOD) and a machine-learning (ML) based nonlinear method) for separating and reattaching flows using existing experimental and numerical databases of a laminar boundary layer approaching an FFS. There will provide three significant results: (1) critical insight as […]
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