In the wake of the Paris meeting on global climate change in December of 2015 (COP21), commitments to drive down greenhouse gas emissions have escalated around the world. Man-made carbon dioxide (CO2) emissions are accepted as the largest contributor to climate change. Promising next-generation technologies for decreasing CO2 emissions are being investigated at the lab scale. Unfortunately, the technology developers often lack next-step projects and connections with industrial end-users to allow the technology to advance and become commercialized.
Think Tank Innovations Ltd is a company active in the healthcare domain. The company is interested in expanding their current working system Sharesmart application by benefiting from advanced technology to develop an integrated environment for healthcare solutions in order to better service a wider community locally and globally. Students to be involved in this project will build a data repository to host data to be collected, cleaned, built, integrated and processed for knowledge discovery which will guide more focused decision making.
The worldwide data explosion would emphasize on importance of knowledge discovery from massive, heterogeneous, and dynamic volumes of information (Big Data). Similar to other industrial organizations, Credit union industry deals with massive amounts of structured (e.g. customer demographics and transactional data) and unstructured (e.g. email, social media data, comments) data which they have not utilised well to be able to proactively offer their products and services according to their customer needs.
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.