Africentric Learning Design: Socio-culturally Sensitive and AI-driven Virtual Learning Platform to Support African Canadians

The school closures due to COVID-19 accompanied with the change to remote learning had further exacerbated disparities in the already existing achievement gaps of African Nova Scotian learners in Canada. We propose a technology innovation to be co-developed with the African Nova Scotian community and teachers, offers flexibility in delivery, with content and pedagogical approaches […]

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Research And Development of Heat Flowable High-Strength Bioabsorbable Bone Adhesive

The primary project objective of this proposal is to evaluate company’s absorbable polymeric (PCL/PLLA) performance as the heat flowable bone repair adhesive materials. The expected overall project outcome is a unified surgical delivery tool and implantable adhesive that provides the customers/users (surgeons/patients/hospitals) of this device a surgical repair product. Materials and Methodology: Material Description: The […]

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An Environmental Scan of Self-Management Interventions in Clinical Practice

One approach that is commonly used to treat chronic condition is self-management interventions. Self-management refers to the daily “tasks that individuals must undertake to live well with … chronic conditions” (Adams et al., 2004). To help people with chronic conditions develop the skills needed to manage their conditions, several self-management interventions have been created. Many […]

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Targeted Online Marketing Based on Machine Learning

Online marketing is a popular type of advertising, which utilizes the Internet to deliver advertising information to consumers in the digital era. Despite the advantages of online marketing, there is still much room for efficiency improvement. The major problem with existing online marketing is that there tend to be a mismatch between what are delivered […]

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Employing Data Mining and Visualization Strategies for the Analysis of Well-being Indicators: A follow-up

In this project, an online, interactive map visualization tool will be built to illustrate trends of community wellbeing indicators across Nova Scotia using the 2019 Quality of Life survey as the primary source of information. The goal is to empower residents and decision-makers to understand unique well-being trends in communities, providing an invaluable resource for […]

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Marine Way

This internship will contribute to the market research and go-to-market strategy development of the Marine Way app, a citizen science mapping mobile application that will help combat the global ghost gear problem. The resultant outcome of the internship is expected to contribute to the establishment of a company and the future publication of the mobile […]

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Effective Recruitment and Retention of Underrepresented Demographics in Nova Scotia’s Automotive Sector

Currently in Nova Scotia there is under-representation of diverse individuals employed in the automotive sector and a growing job vacancy rate. The Nova Scotia Automotive Sector Council seeks to understand the current employment and recruitment rates, barriers and opportunities for improvement in collaboration with our partner organizations from under-presented groups. In order to create inclusive […]

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Intelligent dynamic and predictive landing system for marine aerial vehicles to enable ship- and water-based operations

This project further develops and implements unmanned aerial vehicle (UAV) autonomous landing on underway ships in a sea state under zero visibility (Canadian Arctic operations). The was developed, implemented, and verified by Dalhousie University on an experimental UAV to TRL 4. The present project’s objective is to also implement the verified capabilities on an UAV […]

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Artificial intelligence driven monitoring and prediction of true sleep health on CPAP machines to improve patient care and reduce the harm of obstructive sleep apnea

In this project we aim to evaluate the potential to effectively predict and prevent the occurrence of obstructive sleep apnea during sleep therapy using multiple sensor inputs in conventional CPAP machines. This will be based on experimental tests during both non-REM and REM sleep and standard polysomnography (PSG) measurements. This project is expected to assess […]

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