This research project involves the evaluation of a leadership program entitled “Contagious Resilient Leadership” for long-term continuing care and home care workers. Leadership training has been identified as extremely important in the continuing care sector, but has continued to be overlooked. The goal of these workshops is to get continuing and home care workers working […]

Inflammation of the brain is a symptom of many different types of brain diseases such as Alzheimer’s disease, multiple sclerosis, depression, stroke, and traumatic brain injury. If left untreated, the inflammation can become a chronic problem that causes further damage to the brain. Different types of cannabinoids are a promising source of potential treatments to […]

The project will build a business case to evaluate and develop an innovative Intelligent Offshore Trawling (IoT) Net. This net will transform bottom trawling processes by having the net just above the seabed. This means the seabed is not violently disrupted and that the operations of the trawling vessels are more efficient through a greatly […]

The onset of symptoms in Alzheimer’s Disease, Picks disease, progressive supranuclear palsy and cortical basal degeneration are connected to the formation of insoluble deposits of the tau protein in the brain, also known as neurofibrillary tangles (NFT). The Treventis Corporation has developed new chemicals that are designed to prevent the formation of NFT, which may […]

Virtual agents based on artificial intelligence have become increasingly popular on social media. Examples of Lil Miquela or Shudu Gram show how completely artificial agents can have a significant influence on our social lives, and especially social media marketing. However, it stands to question how these virtual influencers are actually perceived by consumers, whether they […]

This research seeks to inform the development of, and fully test and develop a mobile application designed to improve the process in which students’ find accommodation and roommates. I will develop wireframes and ask users to provide feedback on how to improve the platform. Then I will take the information collected to develop a prototype […]

Persons with visual impairments often have residual vision, even if they are legally blind. In this research project, we want to develop technology to assist persons with visual impairment in their everyday life. We want to use augmented reality to enhance the real world visually. The system will be implemented to extract all necessary information […]

This project will focus on the design, fabrication and testing of an annular array-based histotripsy transducer that will improve the combined ultrasound imaging and therapy endoscopic device currently in development at Daxsonics. Histotripsy is a method of focusing high intensity ultrasound waves to liquify tissue and is a promising new method of accurately removing tumors […]

This research project is a collaboration between researchers at the Delmore “Buddy” Daye Learning Institute (DBDLI) and Dalhousie University and aims to inform practices and grow knowledge on collaboration, economic prosperity and well-being in the African Nova Scotian (ANS) community. Nyasha Mandeya will be focusing on investigating the collaborative process that went into the creation […]

Orthognathic surgery is a procedure used to correct facial deformities and is a mainstay treatment in the oral and maxillofacial surgery field. Another common procedure in the field of oral and maxillofacial surgery is dental implant surgery that is used to replace missing teeth. Currently, dental implants are one of the most preferred treatment options […]

A significant problem identified by Dying with Dignity Canada is that there is little information available for families and informal supports (F&IS) involved in medical assistance in dying (MAID). Our 47 F&IS interviewees from across Canada also said that they had few or no resources about MAID as the health system concentrates on the person […]

This research aims to develop an efficient machine learning model to detect COVID-19 patients by using their cough signals. The model is trained using thousands of audio recordings of cough signals from different subjects. The audio signals can be converted into spectrogram images that can be visually inspected to determine relevant regions of interest. There […]