Comparison of transformation products of tetracycline using ozonation and photo-Fenton reaction and evaluating their toxicities

Tetracycline antibiotics (TCs) have received significant interest due to broad-spectrum antibiotics. TCs are detected worldwide in surface water, ground waters, and even drinking water sources because of excreting through urine and feces. The presence of TCs represents a threat to humans and ecosystems by developing drug-resistant bacteria and the toxicity of the antibiotics Thus, it […]

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Edge-Twin based Framework for Real-Time AI Applications for Vehicular Scenarios

Edge computing is expected to play a transformative role for future AI applications in 5G networks by bringing cloud-style resource provisioning closer to the devices that have the data. Instead of running resource-intensive AI applications at the end devices, we can consolidate their execution at the edge, which brings many benefits, such as eliminating the […]

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Geometallurgical Simulation and Multicriteria Risk Evaluation

The evaluation of mining projects depends on modern computational techniques. There is a demand for increasingly sophisticated techniques, due to environmental considerations and the drive toward increasingly complex ores. Without these techniques, projects may be wrongfully held back or abandoned, leading to severe socioeconomic consequences in the surrounding communities. Conversely, mining projects may be wrongfully […]

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A generic microgrid controller with rule-based dispatch

In order to provide more reliable electricity, facilitate clean enery integration and supply energy to remote communitites, part of the power grid may be required to operate autonomously. Microgrids which can be islanded from teh main grid, are deployed for this purpose. However, the compositions and objectives of microgrids vary in different applications and operating […]

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CFD methodology for analysis of multiphase flow process

Oil that has passed through the bearings and gearboxes of aircraft engines is recycled by a specialized oil scavenging system that separates droplets dispersed from the shaft from air and particulate matter. This process helps to mitigate the emissions of aircraft engines, greatly improves oil consumption and Improves working life by improving the cooling capabilities […]

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The foraging behaviour of King Penguins under extreme climatic events

The sub-Antarctic region hosts rich waters created by the current systems originating from Antarctica meeting the warmer water of the tropics. The convergence of those two water masses, combined with the complex bathymetry of certain sub-Antactic regions, creates distinctive aquatic habitats where the marine fauna is abundant. However, these current systems are very sensitive to […]

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Pre-clinical investigation of phosphodiesterase 10 (PDE10) inhibitorsas potential therapeutic agents in schizophrenia.

Available drugs to treat schizophrenia are partially effective in controlling symptoms and have significant side-effect Iiabiltv. We want to explore the potential of PDE1 OA inhibitors as effective and safe antipsychotic drugs using preclinical models established in academic supervisor’s laboratory. The compounds will be provided by Paraza Pharma, who will be better informed about the […]

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Textual Analysis of Climate-Related Disclosures

When faced with difficult issues such as climate change, some organizations decide to disclose information on relevant risks, opportunities, and strategies. The language used in these disclosures can theoretically reflect how managers process information in complex and uncertain environments, and by extension, their abilities in creating value for the firm. This research collaboration examines linkages […]

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Uncertainty Quantification for Deep Neural Networks

Deep neural networks are effective at image classification and other types of predictive tasks, achieving higher accuracy than conventional machine learning methods. However, unlike these other methods, the predictions are less interpretable. While accuracy may be enough for applications where errors are not costly, for real world applications, we want to also know when the […]

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Advanced sensor control implementations for energy optimization in commercial buildings using machine learning and data visualisation applied to building automation systems

The objective of the research is to develop a system leveraging data captured for commercial building management systems (BMS) to take decisions in to reduce energy consumption without affecting comfort. The idea is to showcase how intelligent control can be implemented in existing BMS to optimize energy consumption. The project is divided in three parts: […]

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