There are many compression garment products on the market claiming to improve some aspect of performance, however their claims are not validated with empirical data. In fact, current literature regarding the benefits of compression garments on cardiovascular and biomechanical performance is controversial; with many results suggesting non-significant or even negative effects provided by the compression garment.
The bond between adhered manufactured stone masonry veneer units and the setting bed mortar will be studied. It will involve testing shear, and tensile bond on small samples. Samples will consist of 2 types of adhered manufactured stones; two types of setting bed mortar (Type S, and modified dry-set cement mortar); and two types of substrates (simulated scratch coat and metal lath, and exterior grade cement board). Samples will be tested at 3 different temperatures (-20, 0 and 20°C), and 2 different numbers of freeze-thaw cycles. Three samples will be cast and tested for each combination.
Amid the tough challenge of dwindling oil prices, GE is seeking for new technology to create production forecasting and optimization tools that simulate the real operating environments and optimize across the entire process, providing actionable insights that help producers achieve their cost, production, and environmental goals. The objective of this project is to develop data driven models for optimizing bitumen production in SAGD reservoirs.
Due to the current economic downturn, especially the lower crude oil price, the drilling success rate become the most important goal for any oil/gas company. For a start-up company, any failure in drilling will be a disaster. To this end, the Deep Treasure Corp wishes that through the combination of mature hydrocarbon prediction techniques and new research results in seismic inversion, the success rate of hydrocarbon prediction, the theoretical basis for well placement can be provided in Roncott field, which will improve the success rate in drilling.
Getting a new drug from the laboratory into the market is a lengthy and costly process which takes on average 12 years and over US$350 million to accomplish. It is composed of roughly 3 phases: (1) pre-clinical research, (2) clinical studies, and (3) the new drug application review. In this work, we propose an artificial intelligence system which will shorten the time it takes for pharmaceutical companies to identify novel drugs (compounds) for a given target (usually a protein or a protein complex).
Protected areas naturally attract conservationists keen to preserve pristine environments. Hospitality companies exploit these areas to expand tourism. Private interests are often supported by lobby groups such as chambers of commerce and hotel associations. Between the conservationists and private sector owners are the employees that provide essential services from chambermaids to bartenders who mostly earn minimum wage. These workers have seen their negotiating power eroded due to the lack of organization and representation unlike powerful environmental groups and private enterprise.
My work will provide an important insight of the newly developed S1229. Cyclodextrins (S1229) are cyclic molecule composed of 7-sugars, with a unique structure. S1229 forms a hydrophobic core, which interacts with cholesterol and phospholipid by-products and removing them from the membrane. SolAeroMed has shown that S1229 was able to repair lung surfactant function. Lung surfactant is protein-lipid mixture covering the air-water interphase in the lung. Surfactant is an essential component of healthy lung function and without it, breathing would be near impossible.
Finite element modelling (FEM) can be used enhance the understanding of physical testing results and will be applied to two distinct structural problems. The first problem will involve combined loading of concrete masonry walls, and the second problem will involve the performance of adhered stone veneer under wind loading. Combined compressive and out of plane testing will be completed on concrete masonry walls and numerical modelling will build on these results to evaluate and potentially modify current code factors to improve their accuracy.
Recent developments in process industry as well as tight environmental discharge regulations required industries to recycle water which means removing contaminants and send it back to the process. Conventional treatment systems consume energy with large carbon footprint. Canadian economic movement towards decarbonization has lead us to focus our research on the development of a material and a passive system that captures energy from sunlight and converts to chemical energy, the result of which is mineralization of organic contaminants to non-toxic chemicals.
Within a watershed, data are collected on various aspects of water (amount, withdrawals, returns, contaminant concentrations) by multiple groups, yet rarely shared at the basin scale. To reduce data siloing and make collected data available to multiple users interested in water management within a watershed context, data from multiple sources must be combined.