Page 15 - Doctoral Training News Today

21st May 2021 10:06 am 21st May 2021 10:06 am Livers could be transplanted more safely and effectively following the development of a handheld laser device that identifies liver damage in donor organs in real time. Image by Sasin Tipchai from Pixabay Currently, surgeons have no detailed or quantitative way of assessing if a liver is healthy enough to transplant into a new person. To assess if a donor’s liver is healthy and a good match, the surgeon conducts blood tests and inspects the or...

Elephant populations across the globe are under threat from habitat degradation and poaching. As well as coping with climate change which pushes elephants’ hydration needs to the limit (they lose around two bathtubs full of water a day), they are killed for their ivory or as trophies. Thankfully there are teams of conservationists and scientists working together to protect these social and highly intelligent animals. Snares are a big problem for elephants despite being intended to catch smal...

UK: IOG signs collaboration agreement with GeoNetZero CDT on Southern North Sea carbon capture and storage research 14 May 2021 AIM-listed IOG, the UK gas company targeting growth and high returns via an infrastructure-led hub strategy, has signed a collaboration agreement with GeoNetZero CDT, Heriot-Watt Universitys Centre for Doctoral Training, a leader in applying geoscience to the challenges of progress towards a Net Zero economy. Under this agreement, IOG will support research into carbo...

11 May 2021 Researchers used AI to identify which daily changing clinical parameters best predict intervention responses in critically ill COVID-19 patients. The investigators used machine learning to predict which patients might get worse and not respond positively to being turned onto their front in intensive care units (ICUs) – a technique known as proning that is commonly used in this setting to improve oxygenation of the lungs. This dynamic understanding is vitally important when tr...

EngD and PhD Studentships: Centre for Doctoral Training in Future Innovation in Non-Destructive evaluation (FIND-CDT) The Centre for Doctoral Training in Future Innovation in Non-Destructive evaluation (FIND) is a partnership between a group of leading universities (Bristol, Imperial College London, Manchester, Nottingham, Strathclyde or Warwick) offering a 4-year industrially-linked doctoral training programme designed to launch you into an engineering career. The CDT has close links to the UK...

NEO Energy has published its Low Carbon Transition Plan (LCTP) setting out an ambitious strategy to reduce its carbon emissions.

Fly-through of Malet St in London based on LiDAR data Researchers have developed the first LiDAR-based augmented reality head-up display for use in vehicles. Tests on a prototype version of the technology suggest that it could improve road safety by ‘seeing through’ objects to alert of potential hazards without distracting the driver. The technology, developed by researchers from the University of Cambridge, the University of Oxford and University College London (UCL), is based on LiDAR (li...

Zooming in on a wafer of D-Wave Quantum Computers Bayers Factors In the paper entitled " Learning models of quantum systems from experiments," published in Nature Physics, quantum mechanics from QET Labs of Bristol are describing an algorithm that overcomes such challenges by functioning as an independent agent, through the use of machine learning to oppose or contradict engineer Hamiltonian models. Essentially, the research team developed a new protocol for the formulation and validation of ap...

 E-Mail Computer gaming technology is being used to develop and pilot two low cost, next-generation screening tools for lazy eye in children. NHS Forth Valley Consultant Ophthalmologist, Dr Iain Livingstone and Dr Mario Giardini, senior lecturer in the University of Strathclydes Department of Biomedical Engineering, have developed two prototype devices to test for lazy eye in children who are too young to speak or follow instructions for a conventional eye test. The first uses a computer scree...

New machine learning method accurately predicts battery state of health Researchers from the Smart Systems Group at Heriot-Watt University in Edinburgh, UK, working together with researchers from the CALCE group at the University of Maryland in the US, have developed a new method to estimate battery health irrespective of operating conditions and battery design or chemistry, by feeding artificial intelligence (AI) algorithms with the raw battery voltage and current operational data. A paper des...