Publications by authors named "L Moffat"

Reaching net zero emissions and limiting global warming to 2 °C requires the widespread introduction of technology-based solutions to draw down existing atmospheric levels and future emissions of CO. One such approach is direct air CO capture and storage (DACCS), a readily available, yet energy-intensive process. The combination of DACCS and ocean thermal energy conversion (OTEC) allows for independently powered carbon capture plants to inject concentrated carbon into deep marine sediments where storage is generally safe and permanent.

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The PSIRED Workbench is a long established and popular bioinformatics web service offering a wide range of machine learning based analyses for characterizing protein structure and function. In this paper we provide an update of the recent additions and developments to the webserver, with a focus on new Deep Learning based methods. We briefly discuss some trends in server usage since the publication of AlphaFold2 and we give an overview of some upcoming developments for the service.

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Article Synopsis
  • The BIOFIRE Joint Infection (JI) Panel uses multiplex-PCR testing to identify microorganisms in synovial fluid from patients suspected of septic arthritis and prosthetic joint infections.
  • A study over 34 clinical sites in Europe and the Middle East indicated that the JI Panel showed 88.4% agreement in diagnosing septic arthritis and 85% for prosthetic joint infections when compared to traditional synovial fluid cultures.
  • The JI Panel not only detected more positive samples, especially anaerobic bacteria, but also provided results in about one hour, improving patient management and treatment decisions.
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Soil tests and Multichannel Analysis of Surface Waves (MASW) data were conducted in Hatsalatladi village, Botswana, to investigate the occurrence of ground fissures within the village and to identify the likely causes of the fissures and their depth extent. The MASW data were collected to gain insights into the variation of shear wave velocity with depth. The dataset shows that the shear wave velocity ranged from 150 m/s - 500 m/s, with Poisson's ratios ranging from 0.

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