Publications by authors named "R Ferraro"

Background: Minimizing air aspiration by carefully filling blood gas syringes is crucial to prevent air contamination from causing undesirable variations in gasses and other molecules. While some previous studies investigated this aspect, these are now outdated and only analyzed a limited number of blood gas parameters. Thus, we investigated the effects air contamination in the syringe using a modern blood gas analyzer.

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Background: Differentiation of patient-specific induced pluripotent stem cells (iPS) helps researchers to study the individual sensibility to drugs. However, differentiation protocols are time-consuming, and not all tissues have been studied. Few works are available regarding pancreatic exocrine differentiation of iPS cells, and little is known on culturing and cryopreserving these cells.

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Satellite-based Quantitative Precipitation Estimates (QPE) are indirect estimates of precipitation rates and as such are often prone to errors, warranting a need for characterizing the associated uncertainties before being used in application-specific studies. Moreover, multiple satellite-based QPE products are offered through different agencies, each with their own specifications, formats and requirements, posing a challenge to understanding the products uncertainties. This manuscript presents a standardized validation system named NPreciSe - NOAA Satellite-based Precipitation Validation System, which assesses the performance of satellite-based precipitation products in near real-time over the continental United States.

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Article Synopsis
  • The study aimed to explore how contaminating venous blood samples with lipid solutions affects measurements from blood gas analyzers.
  • Blood samples were collected from 17 healthcare workers with varying percentages (0%, 5%, and 10%) of lipid solution, and analyzed quickly for blood gas parameters and triglyceride levels.
  • Results showed that higher lipid contamination significantly altered various analytes, indicating that contamination can lead to clinically relevant inaccuracies in blood gas analysis, suggesting the need for improved blood gas analyzers that include serum indices.
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