The project will assess functional benefits of an isomalto-oligosaccharide preparation. Isomalto-oligosaccharides are functional oligosaccharides that are applied as functional food ingredients to reduce the caloric content and the glycemic load, as a source of dietary fibre, and to support homeostasis of intestinal microbiota. Regulatory approval of the products and the functional claims requires scientific support related to the digestibility and the impact on glucose homeostasis in humans.
When floods happen, municipal water distribution systems are damaged and the residents will not have access to clean water. As a result, the will face the risk of health effects from water-born bacteria and pathogens increases. In this project, we proposed a system to purify the water stored frim flood water. This purified water can be used for drinking. This membrane based system can remove the bacteria and pathogens from water. To fabricate the membrane, we will use biopolymers and metals with antibacterial properties.
The liver is the largest solid organ in the body and is critical for metabolic and immune functions, however huge gaps still exist in our basic knowledge of the human liver. Due to challenges in obtaining human liver tissue and the fragility of liver specimens, little is known about the cells that make up the human liver and its immune microenvironment: much of our current understanding is derived from studies in animal models.
Chemicals manufactured and used in society degrade through physical and biological processes (e.g., photolysis, biotransformation) into break-down products (e.g., metabolites). Most “parent” chemicals can breakdown relatively quickly so that they are not persistent or bioaccumulative; however, some metabolites formed during the degradation processes can persist in the environment thus requiring consideration for ecological and human health assessment. The environmental fate, bioaccumulation, exposure and associated risks of these formed metabolites are largely unknown.
The over-arching goal of our project is to develop a robust next-generation gene-editing platform to repair the deleterious mutations that are responsible for genetic diseases such as Cystic Fibrosis and cancer. First-generation precision endonuclease technologies have been tremendous for in vitro gene disruption studies and ex vivo treatments, but there has been limited success at developing safe and effective in vivo human gene-editing therapies.
Dunes are common bed features in large sand-bedded rivers and are significant sources of in-channel roughness. Reliably estimating roughness is crucial for the prediction of flood flows, but roughness is crudely represented in hydraulic models widely used by environmental consultants and engineers. Roughness is treated as a calibration knob in these models, adjusted to force predicted water levels to match observations. This makes water level predictions during floods difficult, especially for flows beyond the range of previous observations.
Similar to current efforts in the automotive industry, there is a substantial interest in developing fully autonomous trains. One of the key steps towards enabling autonomous operation is being able to accurately estimate train position and speed. In addition to this, better estimates will also increase safety and reduce distance between trains, allowing more frequent trains in peak hours. The current project deals with a method of estimating the velocity and position without using GPS measurements, which is the standard method.
Amyloid cardiomyopathy is an under-recognized cause of heart failure and is caused by normal proteins in the bloodstream going bad (known as amyloid) and accumulating in the heart. This accumulation of amyloid in the heart tissue causes the wall of the heart to become rigid and ineffective at pumping blood to the rest of the body, causing heart failure. We are studying a form of amyloid cardiomyopathy called immunoglobulin light chain (AL) amyloidosis, caused by the accumulation of light chain proteins.
The role of the intern will be assisting with the development, implementation, and evaluation of the Pollinator Steward Certification program in the Province of Ontario. In addition, research undertaken by the intern will seek to assess alignment of stewardship training with expected certification outcomes and current evidence of good practice as well as develop a ‘report card’ that brings together existing measures of socio-ecological well-being to assist conservationists and stewards to benchmark and assess their conservation efforts.
Recent advances in machine vision has led to new opportunities for automating that entire manufacturing pipeline. Consider, for example, the situation where an unattended computer vision system inspects the widget and decides whether or not to discard it. Even this little amount of automation can save many hundreds of person-hours on a typical factory floor. While for simple designs, we now have automated inspection methods relying upon lasers, 3D scanning or other imaging modalities that can decide if a widget has any defect. For complex designs, this ability remains elusive.