Introduction: There is a noticeable lack of information on iatrogenic error (IE)-related deaths in the United States. To address this, we conducted a retrospective analysis examining temporal, regional, urbanization, and age-related trends in IE-related mortality from 1999 to 2020.
Methods: Utilizing the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research database, we identified crude and age-adjusted mortality rates (AAMR) per 100,000 persons.
Ready-to-use supplemental foods (RUSF) are energy-dense meals formulated to prevent and treat moderate and severe childhood acute malnutrition (MAM and SAM) in high-risk settings. Although lifesaving, the degree and durability of weight recovery with RUSF is unpredictable. We examined whether environmental enteric dysfunction (EED) and gut microbiota perturbations are risk factors for RUSF failure in a birth cohort of 416 rural Pakistani children followed for growth, common childhood illnesses, and biomarkers from blood, urine, and stool.
View Article and Find Full Text PDFThis study was designed to obtain the maximum extraction yield of peanut shell (PS) polyphenols using a novel carbon dioxide nanobubbles (CO-NBs) assisted ultrasonic extraction method. CO-NBs were generated in distilled water with a self-developed high-pressure nano-jet homogenization method and characterized by size, zeta potential and transmission electron microscopy (TEM). The obtained nanobubble's mean size and zeta potential were 229.
View Article and Find Full Text PDFBackground: Fulminant myocarditis (FM) is a potentially life-threatening disease that requires emergency care. The authors' study aims to explore clinical outcomes and predictors of survival when using veno-arterial extracorporeal membrane oxygenation (VA-ECMO) support for the treatment of FM in adult and pediatric patients to analyze differences between both populations.
Methods: PubMed, Scopus, Web of Science, and Cochrane databases were searched for studies reporting the effect of VA-ECMO on patients diagnosed with fulminant myocarditis.
This paper addresses the dynamic neural networks (DNNs) based resilient leader-following consensus control of multi-agent systems (MASs) under unidentified false data injection (FDI) attacks. We have examined generic linear leader-following agents in the context of stochastic FDI attacks on the network topology. When information is sent from one agent to another, it is altered as a result of the attacks.
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