The micro-dispenser serves to accurately and precisely dispense a variety of fluids in droplets with volumes in the microliter range. The micro dispensing is quite valuable as it reduces the required volume of reagents and subsequently reducing cost. Here we propose a novel micro dispensing technology based on electrowetting on dielectric (EWOD) digital microfluidic (DMF) technique.
Newfoundland oil and gas industry needs unique engineering solutions for offshore structures and operations because of harsh environment. Drifting icebergs, if collide with an offshore structure, may cause serious damage leading to economic losses, ecological problems and loss of human lives. To protect the structure, icebergs can be towed away; however, it is a complicated process, especially when the underwater part of iceberg is hidden. This project contributes to a new technology that can be used onboard of towing vessels to assist captains when taking their decisions regarding towing.
Current rheumatology wait-times have been noted as reaching as high as two years for an initial assessment in the province of Newfoundland and Labrador (NL) . Significant wait-times can delay diagnosis and treatment for a variety of rheumatologic conditions and highlights some of the challenges associated with a publicly funded healthcare system. Furthermore, the higher prevalence of arthritis/rheumatism in rural areas frequently necessitates patients to travel significant distances at great personal and system expense .
The overarching goal of this project is to research the feasibility of a low-cost, general purpose data pipeline that can learn and adapt to large, varied and dynamic data sets. Specifically, we will utilize a large sample of 3D gait and motion data captured from a cohort of research participants with dementia or mild cognitive impairment during an intervention study.
Marine species are threatened by a growing number of human activities occurring in our seas and oceans. Understanding the consequences of pollution, for instance, requires combining information relative to the distribution of pollutants in marine environments with information relative to the spatial distribution of marine species. Our project aims at creating a framework for the assessment of marine species exposure to pollutants such as noise, light and toxic chemical compounds. The project consists of two phases: framework design and testing.
Offshore Newfoundland is an ice-prone environment which holds valuable natural resources. Better understanding of the ice environment and ice characteristics in this region is essential for safe and economical offshore activities.
The project is feasibility and impact exploration of delivering supervised worker, occupation, and environment health and wellness services to offshore oil and gas platforms. Participants are engaged in a detail study to provide useful results that can serve as a response to the Wells Inquiry.
The mining industry forms an integral part to the economy of Newfoundland and Labrador. The island of Newfoundland is particularly important to the NL mining industry, as it houses several active mining operations, as well as minerals exploration and developments in several areas including the Baie Verte peninsula.
The broad objectives of this research include: (1) to develop an accurate picture of the extent to which digital technologies have been adopted by extractive industries, (2) to understand factors that have impacted on the pace of digitalization, (3) to develop an understanding of how further digitalization could transform extractive industries and the communities and regions in which they operate, and (4) to provide guidance and advice to key stakeholders (industry, governments, institutions, communities) with respect to addressing the opportunities and challenges arising from digitalizatio
Lyan Eng. Developments Inc. is looking to find novel ways to make processes in the energy sector more cost efficient. The results from this project have significant applications to pipeline integrity and platform integrity for sub-sea and off-shore applications. The robust failure prediction models are going to help engineers in various disciplines to accurately predict failure in complex structures.