Using wearable sensor-based technologies to detect changes in health status for prevention of adverse health events and to improve overall quality of life – Year two

The project goal is to determine the clinical utility of Orpyx LogR technology to detect gait changes and their efficacy to predict and monitor fall risk. Project I will use existing data to determine sensitivity and specificity for prospective classification of fallers and non-fallers for a composite measure drawn from an extensive battery including single […]

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Altitude & Heat – environmental synergies to optimize human performance

The environmental stress of altitude and heat have both been shown to elicit divergent adaptive responses and are used by elite athletes to augment training adaptation and subsequent performance. Indeed, 3-4 weeks at moderate altitudes can increase the body’s natural erythropoietin (EPO) responses, raising hemoglobin by 4-6% and enhancing endurance performance. Conversely, as little as […]

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Altitude & Heat – environmental synergies to optimize human performance – Year two

The environmental stress of altitude and heat have both been shown to elicit divergent adaptive responses and are used by elite athletes to augment training adaptation and subsequent performance. Indeed, 3-4 weeks at moderate altitudes can increase the body’s natural erythropoietin (EPO) responses, raising hemoglobin by 4-6% and enhancing endurance performance. Conversely, as little as […]

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Techno economic assessment of state-of-art innovative fast pyrolysis solutions in bio-economy processes

The present project will evaluate the techno-economic and environmental performance of an Integrated Biorefinery System that employs an innovative state-of-art fast pyrolysis processes for the production of bio renewable fuels in the bio-economy. A systematic design methodology will be defined using state-of-the-art process systems engineering tools which include market analysis, techno-economic assessment, cost accounting, energy […]

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Techno economic assessment of state-of-art innovative fast pyrolysis solutions in bio-economy processes – Year two

The present project will evaluate the techno-economic and environmental performance of an Integrated Biorefinery System that employs an innovative state-of-art fast pyrolysis processes for the production of bio renewable fuels in the bio-economy. A systematic design methodology will be defined using state-of-the-art process systems engineering tools which include market analysis, techno-economic assessment, cost accounting, energy […]

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Investigation of the potential of static liquefaction of tailings by taking into account the evolution of the hydro-geotechnical properties during and after their deposition

Mines generate large quantity of tailings. In most cases, they are transported by pipes and deposited in tailings ponds and confined by dams. To limit the footprint and land area of tailings pond, the dams have to be uplifted progressively with the increase in the tailings level. Several methods exist to uplift the tailings dams. […]

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Investigation of the potential of static liquefaction of tailings by taking into account the evolution of the hydro-geotechnical properties during and after their deposition – Year two

Mines generate large quantity of tailings. In most cases, they are transported by pipes and deposited in tailings ponds and confined by dams. To limit the footprint and land area of tailings pond, the dams have to be uplifted progressively with the increase in the tailings level. Several methods exist to uplift the tailings dams. […]

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Up-scalable production of high efficiency perylene diimide (PDI)-based organic light emitting devices using slot die coating methods

With respect to large-area display applications, it is desirable to have not only the active layers but also the electrodes in the OLEDs that can be formed by solution fabrication process. To address the manufacturing challenges of high-performance OLEDs, several scalable techniques such as doctor blading, ink-jet printing, and ultrasonic spray coating have been developed […]

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Improving Resource Estimation and Reconciliation with Machine Learning

Models quantifying the grade and tonnage of mineral deposits form the basis of important and costly decisions for planning, optimization and extraction of a natural resource. Models are initially generated from sparse exploration sampling; however, information is continuously collected until resource extraction. Predicted values that reconcile well with true values following extraction instill confidence in […]

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