Design and development of a big data analytics system to accommodate dynamic risk modeling of emergency responder delays at active rail crossings

In this project, we design and develop a big data analytics system, which is expected to support the advancement in the state-of-the-art in modeling the dynamic risks associated to emergency responders being delayed at active rail crossings. The model will be used to show risk within cities and support prescribed solutions to mitigate the impacts. […]

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Using genetic variants as a treatment decision aid for the optimization of antipsychotic treatments: a critical appraisal of the literature.

The group in Canada has extensively studied the factors (known as biomarkers) that can influence how people respond to anti-psychotic drugs, including if patients will develop side-effects. Our group in Liverpool has experience with compiling and analysing the large amounts of evidence required to prove a link between the biomarkers, and the patient’s response. The […]

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Assessment of indoor environmental quality in the school building

Indoor environmental quality in schools is one of the major issues that should be considered. Indoor air quality (freshness and cleanness of air inside the building) and thermal comfort (the comfortable condition when no one is feeling either too hot or too cold) in schools can have significant impact on children’s health, learning and productivity. […]

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Desorption and sorption isotherms of hemp seeds with dockage

Very few guidelines (such as the isotherm equations – the moisture content of hemp seeds at a given temperature, and relative humidify) exist on aeration, natural air drying, and storage of hemp seeds. If producers and managers used wrong isotherms, spoilage or over drying of the binned hemp seeds might occur during storage. The objectives […]

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A Virtual reality (VR)-based yoga exercise program targeting upper and lower extremities function in stroke survivors who are discharged home

A virtual-reality-based yoga training and assessment platform will be developed as a comprehensive approach for training/improving balance, frailty, and cognitive performance and prevent falls in stroke survivors. The project would have 1) a great therapeutic benefit in terms of increasing rehabilitation outcomes post-discharge and 2) would increase the prevention of further disability. The platform can […]

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Assessing the Effect of Emotions on Online Word of Mouth and Retention

This project aims two answer two research questions. First, we respond to nearly 15 years of call for research to understand how word of mouth communication is used in B2B settings. Specifically, we conduct a qualitative research to identify what drives B2B customers to get engaged in online word of mouth communication. Second, we examine […]

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Investigation of Power System Performance with integration of Inverter based Generation

The electric power industry is undergoing considerable changes with respect to structure, operation, regulation and modernization. One of the significant changes is the increased utilization of distribured energy sources (DES) such as wind and solar and other immerging technologies particularly in electric distribution systems. It is envisioned that DES will bcome the main source of […]

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Groundless MEMS DC Voltage Sensors for Electric Power Utilities

This research project will develop dc electric field sensors for the monitoring of electric power utility infrastructure and for non-contact voltage probing and monitoring. MEMS sensors are the focus, as they offer small size, low cost, and low power operation. These properties make them ideal for hand held operation, and for deployment in remote locations […]

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Novel MRI Technical Developments for Noninvasive Measurements of Arterial Stiffness

L’importance de la foresterie dans l’économie nécessite de réaliser des études permettant de comprendre et résoudre les impacts que cela produit, pouvant affecter la durabilité des zones productrices. L’orniérage est l’un de ces impacts qui sont connus mais pas toujours contrôlés. Certaines zones connaissent des disparités importantes pouvant conduire à une modification du milieu à […]

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High-throughput proteomics by selective peptide enrichment for one-shot LC/MS analysis

Proteomics have revolutionized bioanalytical chemistry in the past two decades. However, to achieve deep qualitative and quantitative analysis of complex protein samples a significant amount of instrument time (liquid chromatography – mass spectrometry) is required. The major problem stems from the fact that single protein generates many peptides during typical proteomic sample preparation. Limiting this […]

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