Publications by authors named "A Lora Espinosa"

A new antioxidant lipid (AL) was synthesized from rainbow trout () belly oil and cold-pressed maqui (CPM) ( (Mol.) Stuntz) seed oil via enzymatic interesterification using in supercritical CO medium. A Box-Behnken design with 15 experiments was employed, with the independent variables being the following: belly oil/CPM oil ratio (10/90, 50/50, and 90/10, /), supercritical CO temperature (40.

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Background: Wildlife conservation and management aims to restore population declines, it is the vulnerable or endangered populations who require the greatest conservation efforts. In this context, non-invasive sampling has been evaluated as an option for reporting prey/predator impact. Galemys pyrenaicus is currently threatened throughout its range, and cohabits with Nemys anomalus, in Extremadura (Spain).

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Background: Goal-directed haemodynamic therapy (GDHT) aims to optimize haemodynamic variables. However, its effectiveness in reducing postoperative complications in major abdominal surgery, particularly when targeting both arterial pressure and flow variables, remains unclear. This meta-analysis addresses this by evaluating GDHT using uncalibrated pulse contour (uPC) methods.

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We explored predictors of shift work adaptation and how it relates to disease risk biomarker levels. These analyses included 38 male, rotating shift workers, sampled twice at the end of a 3-week night shift and a 3-week day shift rotation. Participants collected all 24-h urine voids, wore activity sensors, and responded to questionnaires during each shift.

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: Alzheimer's disease (AD) dementia and mild cognitive impairment (MCI) are currently underdiagnosed in the community, and early detection of cognitive deficits is crucial for timely intervention. FACEmemory, the first completely self-administered online memory test with voice recognition, has been launched as an accessible tool to detect such deficits. This study aims to investigate the neuropsychological associations between FACEmemory subscores and cognitive composites derived from traditional paper-and-pencil neuropsychological tests and to develop an optimal algorithm using FACEmemory data and demographics to discriminate cognitively healthy (CH) individuals from those with MCI.

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