Publications by authors named "S DE SIMONE"
Article Synopsis
- The study investigates CP symmetry violation in the decay of D^{+} particles into K^{-}K^{+}π^{+} using data from proton-proton collisions at a high energy of 13 TeV.
- A unique model-independent method was employed to analyze the phase-space distributions of D^{+} and D^{-} particles, correcting for any instrumental biases using D_{s}^{+} decays.
- The findings indicate no significant evidence of CP violation, with a p value of 8.1%, and measure specific CP asymmetry observables, marking this study as the most sensitive search of its kind in multibody decays.
Purpose: The study investigates the role of work-family interface dimensions (negative work-to-family interface, NEGWIF; negative family-to-work interface, NEGFIW; positive work-to-family interface, POSWIF; and positive family-to-work interface, POSFIW) as mediators in the relationship between workload and interpersonal strain. In addition, we examined the moderating effect of gender.
Design/methodology/approach: 319 Italian employees working in the commercial sector participants completed a self-report questionnaire.
Lyme disease, a zoonotic infection caused by the bacterium , is transmitted to humans through the bites of infected ticks. Its diagnosis primarily relies on serological methods; however, the existing borreliosis techniques have shown a variable sensitivity and specificity. Our study aimed to map IgG epitopes from five outer membrane proteins (Omp) from [Filament flagellar 41kD (PI1089), flagellar hook-associated protein (Q44767), Flagellar hook k2 protein (O51173), Putative Omp BURGA03 (Q44849), and 31 kDa OspA (P0CL66)] lipoprotein to find specific epitopes for the development of accurate diagnosis methods.
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- This study focused on understanding how common diagnostic uncertainty is when critically ill children are admitted to Pediatric Intensive Care Units (PICUs) and what factors contribute to it.
- Researchers reviewed medical records from 882 pediatric patients across four hospitals to assess the presence of diagnostic uncertainty at admission and how it changed by the time of discharge.
- Key findings indicated that 25.9% of patients showed diagnostic uncertainty upon PICU admission, with significant factors being the time of admission, illness severity, atypical symptoms, and discrepancies in diagnoses between different healthcare providers.