Publications by authors named "J E Prieto"

Sterol composition plays a crucial role in determining the ability of yeast cells to withstand high temperatures, an essential trait in biotechnology. Using a targeted evolution strategy involving fluconazole (FCNZ), an inhibitor of the sterol biosynthesis pathway, and the immunosuppressant FK506, we aimed to enhance thermotolerance in an industrial baker's yeast population by modifying their sterol composition. This approach yielded six isolates capable of proliferating in liquid YPD with μ values ranging from 0.

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Porous nanomaterials find wide-ranging applications in modern medicine, optoelectronics, and catalysis, playing a key role in today's effort to build an electrified, sustainable future. Accurate in situ quantification of their structural and surface properties is required to model their performance and improve their design. In this article, we demonstrate how to assess the porosity, surface area and utilization of a model nanoporous soft-landed copper oxide catalyst layer/carbon interface, which is otherwise difficult to resolve using physisorption or capacitance-based methods.

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Artisan bread, known for its simple recipes, natural ingredients, and traditional techniques, has seen a surge in demand, especially following the COVID-19 pandemic. Small bakeries emphasize extended fermentation processes and prioritize sensory qualities in their products. However, the impact of ingredients on the quality characteristics of artisan bread remains underexplored.

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Introduction: Evaluating the safety and acceptability of reusing catheters for intermittent catheterisation (IC) is one of the top 10 continence research priorities identified by the UK James Lind Alliance Priority Setting Partnership in 2008. There are an estimated 50 000 IC users in England and this number is rising. Globally, both single-use catheters (thrown away after use) and multi-use/reusable ones (cleaned between uses) are used.

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Article Synopsis
  • Sea ice is crucial for global climate regulation as it influences heat and moisture exchange between the ocean and atmosphere, making its monitoring vital amid climate change.
  • The study used Gray Level Co-occurrence Matrix (GLCM) texture analysis and backscattering coefficient data from Sentinel-1A SAR images to effectively map sea ice over time.
  • Results showed high classification accuracies (≥ 90%) for sea ice detection using a Random Forest classifier, with improved accuracy (≥ 93%) when relying solely on backscattering coefficient data.
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