Publications by authors named "E Marchini"

The electrified production of hydrogen peroxide (HO) by oxygen reduction reaction (ORR) is attractive to increase the sustainability of chemical industry. Here the same chains of intrinsically conductive polymer, poly(3,4-ethylenedioxythiophene) (PEDOT) are utilized, as ORR electrocatalyst, while varying polymeric primary dopants (PSS and Nafion) and the level of secondary doping with DMSO. These changes modulate various properties of the film, such as its microscale organization and electronic conductivity.

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We explored the electrochemical behavior of antimony-doped tin oxide (ATO) and perylene diimide (PDI)-sensitized ATO (ATO-PDI) for the (2,2,6,6-tetramethylpiperidin-1-yl)oxyl (TEMPO) mediated conversion of 5-hydroxymethyl furfural (HMF) to 2,5-furandicarboxylic acid (FDCA), a value-added substrate for alternative polymer synthesis. We first showed that ATO displayed good electrocatalytic properties towards TEMPO, affording a quasi-reversible response with a heterogeneous rate constant on the order of 2×10 cm s. We then evaluated the performance of ATO under exhaustive electrolysis of HMF in basic aqueous electrolyte, reaching 80 % Faradaic Efficiency (FE) for FDCA production.

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Article Synopsis
  • Paroxysmal Nocturnal Haemoglobinuria (PNH) is a rare disorder that is difficult to diagnose due to diverse symptoms and a lack of awareness, often resulting in misdiagnosis.
  • This study explores the use of a machine learning model, specifically the XGBoost algorithm, to identify undiagnosed PNH patients using electronic health records from the UK, involving 131 PNH patients and over 593,000 controls.
  • The model achieved a recall rate of 27% for PNH patients, with a specificity of 99.99% for controls, and indicated that nearly 1 in 5 flagged patients may need further investigation for PNH, highlighting key symptoms like aplastic anemia and panc
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Article Synopsis
  • * Researchers analyzed data from the Optimum Patient Care Research Database, utilizing various modeling approaches, including logistic regression and XGBoost, to develop clinical prediction models.
  • * The XGBoost model showed promising accuracy in identifying undiagnosed small intestine NETs, suggesting that these models could aid in earlier identification, though further evaluation is needed to assess their effectiveness and cost-efficiency.
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In view of developing photoelectrosynthetic cells which are able to store solar energy in chemical bonds, water splitting is usually the reaction of choice when targeting hydrogen production. However, alternative approaches can be considered, aimed at substituting the anodic reaction of water oxidation with more commercially capitalizable oxidations. Among them, the production of bromine from bromide ions was investigated long back in the 1980s by Texas Instruments.

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