Publications by authors named "I A Stewart"

Background: Legislation, policy and clinical guidance champions the values of co-production in good care planning; however, it is unclear what kind of information is available in the literature about how concepts of co-production have been applied in practice to care planning from the perspective of people living with dementia and their carers as experts-by-experience. A scoping review was conducted to map the current evidence addressing care planning co-production practice from the perspectives of people living with dementia and their carers across various settings of dementia care.

Methods: A two-phase process was employed.

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We classify connected 3-node restricted excitatory-inhibitory networks, extending our previous paper (Aguiar et al., 2024). We assume that there are two node-types and two arrow-types, excitatory and inhibitory; all excitatory arrows are identical and all inhibitory arrows are identical; and excitatory (resp.

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Energy correlators provide a powerful observable to study fragmentation dynamics in QCD. We demonstrate that the leading nonperturbative corrections for projected N-point energy correlators are described by the same universal parameter for any N, which has already been determined from other event shape fits. Including renormalon-free nonperturbative corrections substantially improves theoretical predictions of energy correlators, notably the transition into the confining region at small angles.

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  • The study examined 33 severe COVID-19 patients who underwent a novel hemoperfusion therapy using the Seraph100 filter, aiming to reduce viral RNA levels and markers of inflammation.
  • Results showed that while the initial levels of SARS-CoV-2 RNA were generally low and did not significantly change post-treatment, five inflammatory protein analytes exhibited notable decreases, indicating some therapeutic effect on inflammation and endothelial damage.
  • The conclusion highlighted that Seraph 100 did not effectively lower viral RNA levels, but it did successfully reduce several inflammatory markers in the blood of these patients.
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  • - The study investigates the relationship between diabetes mellitus (DM) and idiopathic pulmonary fibrosis (IPF) using a Mendelian randomisation approach to determine if there is a causal link between the two.
  • - Analysis of genetic data showed that neither type 1 diabetes (T1D) nor type 2 diabetes (T2D) appeared to directly cause IPF, nor did other diabetes-related factors like HbA1c or fasting insulin levels.
  • - The findings suggest that while DM and IPF often coexist, their relationship may be influenced by common risk factors or complications rather than a direct causal connection.
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