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Background: It is crucial to consider cultural, religious, and socio-behavioural factors that may influence the acceptability of Minimally Invasive Tissues Sampling (MITS). MITS is being used to understand the causes of child death and conducted in nine countries within Africa and South Asia with the highest child mortality. Progress has been made in the development of laboratory infrastructures and training for physicians to do MITS, but many communities are concerned about the religious acceptability of taking samples from deceased children.

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Article Synopsis
  • Phenylketonuria (PKU) is a metabolic disorder that leads to high levels of phenylalanine, affecting speech and cognitive function.
  • Researchers used the Cookie Theft Picture Task to analyze spontaneous speech from adults with PKU and found significant linguistic differences compared to those without the disorder, despite traditional tests showing no differences.
  • Advanced AI analysis identified a new dimension of verbal proficiency correlated with PKU biomarkers, suggesting potential for improved assessments in PKU and other rare diseases through speech analysis.
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Connected speech samples elicited by a picture description task are widely used in the assessment of aphasias, but it is not clear what their interpretation should focus on. Although such samples are easy to collect, analyses of them tend to be time-consuming, inconsistently conducted and impractical for non-specialist settings. Here, we analysed connected speech samples from patients with the three variants of primary progressive aphasia (semantic, svPPA = 9; logopenic, lvPPA = 9; and non-fluent, nfvPPA = 9), progressive supranuclear palsy (PSP Richardson's syndrome = 10), corticobasal syndrome (CBS = 13) and age-matched healthy controls ( = 24).

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Cognitive and social factors can deteriorate eyewitness identification performance in children and older adults. An identification procedure that mitigates the effect of such factors could be beneficial for child and older adult witnesses. In a field experiment, we mapped identification performance in a large community sample (N = 1239) across the lifespan (ages 6-79 years) for two different identification procedures: classic lineups and reaction time-based Concealed Information Test (RT-CIT).

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Background: Rapid public defibrillation with automated external defibrillators (AEDs) is critical to improving out-of-hospital cardiac arrest survival. Concerns about AED theft and vandalism have led to implementing security measures, including locked cabinets. This scoping review, conducted as part of the evidence review for the International Liaison Committee on Resuscitation, explores the impact of securing AEDs in locked cabinets.

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