The rapid development of wearable electronics and smart textiles demands a more flexible energy supply. Compared with charging from a rigid and bulky battery/capacitor, harvesting the energy from the environment and converting the energy to electricity is a more sustainable and user-friendly approach. A yarn-shaped energy harvester, which is able to convert solar and mechanical energy into electricity simultaneously, will be fabricated. The dual harvesting capability can also compensate the energy shortage when the device is not illuminated by sun.
Inhalation of Respirable Crystalline Silica (RCS) generated during construction activities such as cutting or grinding can cause lung cancer and the irreversible lung disease. Exposure to RCS is common on construction sites because silica is a naturally occurring mineral that is present in many construction materials. The Silica Control Tool is a risk assessment tool that was developed by the BC Construction Safety Alliance and the University of British Columbia to assist construction employers to create exposure control plans for managing the health risks of RCS on construction worksites.
Welding has widespread use in manufacturing, and its quality often determines the overall performance of the manufactured part. Nevertheless, due to the complex nature of the process, weld quality inspection remains manual with the standard approach of QA for defects after production completes. This introduces significant costs of downtime and reworks associated with finding defects at the late stages of production. This project leverages advanced data analytics and machine learning to develop and validate an automated real-time quality inspection system for industrial welding operations.
The increasing global demand for mineral resources and the depletion of significant of high grade near-surface deposits is driving mining companies to consider cave mining as the ideal method to exploit large low-grade deposits at depth. A key characteristics of cave mining is the formation of a significant surface subsidence crater, which may impact nearby infrastructures, as well as have important environmental impacts. The objective of this research is to update empirical subsidence charts using new cases from recent cave mining operations.
Our aim is to use machine-learning to improve treatment of post-surgical pain in children and adults. Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery. The opioid crisis is reaching the pediatric population, in whom effective post-surgical pain management, with less reliance on prescription of opioids, is more important than ever. Recent advances in machine-learning, combined with approaches to patient-oriented research, provide significant prospects for a learning health system.
Both global warming and increasing supply of nickel and cobalt are urgently world-wide issues to be addressed. Mineral carbonation is a promising method to permanently store greenhouse gas CO2 into stable mineral carbonates but energy-intensive requirements and low-value products limit the successful application. Meanwhile, with the increasing demand on global nickel and cobalt supply for electrical vehicles and gradual decrease of nickel sulphides deposit, it becomes more important to extract nickel and cobalt from dominant laterites of nickel resources.
British Columbia’s Ministry of Mental Health and Addictions has identified healthy social and emotional development (SED) in early childhood as a priority action towards addressing the province’s mental health crisis. In response, ChildHealth BC (CHBC) is developing a multi-component provincial intervention to expand the capacity of caregivers to promote SED in young children- the first to be implemented at scale in Canada. While there is evidence on the efficacy of capacity-building SED strategies, research on how to bring these strategies to scale is lacking in the field.
Heat management in semiconducting nanomaterials requires the design of engineered artificial structures, known as metamaterials, where thermal properties can be tuned almost at will by microstructural modifications. Testing a broad range of nanostructures for the particular device applications, with predictive behavior, is a grand challenge especially because of the difficulties associated with the experimental synthesis of the pristine samples, their char- acterization and property calculations.
Leaching of primary copper sulfide (chalcopyrite) using ferric as the oxidant at ambient temperature and pressure exhibits slow kinetics and poor leaching efficiency. In collaboration with LeadFX, this project aims at developing an atmospheric tank leaching process for copper extraction from chalcopyrite concentrate with iodine as the catalyst. The temperature used will be higher than a typical heap leach process. Air/oxygen will be injected to the reactor to maintain the solution potential through continuously oxidizing ferrous to ferric.
In this project, the intern will work closely with the staff of Xanadu, a quantum computing company, to develop educational materials intended for an audience who are comfortable with classical computer programming, but have no prior knowledge or experience with quantum physics or quantum computers. By using interactive, web-based instructional materials, and animated graphics, it is planned to increase the students engagement and learning success. A small study will be carried out to measure the effectiveness of the new educational materials, and identify strengths and areas for improvement.