We present a new national data set of historical sundown towns in the United States linked to contemporary spatial information - i.e., the Historical Sundown Towns Linked to US Census Geographies database.
View Article and Find Full Text PDFBackground/objectives: Tetanus is a serious, non-contagious infection caused by , which remains a global health threat despite the availability of an effective vaccine. The current state of immunization for agricultural workers in Italy reveals significant disparities, reflecting a non-homogeneous distribution of vaccination coverage across regions and subgroups. The aim of the study was to investigate the prevalence of tetanus antibodies in a cohort of agricultural workers in Eastern Sicily in order to evaluate possible public health strategies for improving vaccination coverage.
View Article and Find Full Text PDFis a Gram-negative bacterium that thrives in extreme acidic conditions. It has emerged as a key player in biomining and bioleaching technologies thanks to its unique ability to mobilize a wide spectrum of elements, such as Li, P, V, Cr, Fe, Ni, Cu, Zn, Ga, As, Mo, W, Pb, U, and its role in ferrous iron oxidation and reduction. catalyzes the extraction of elements by generating iron (III) ions in oxic conditions, which are able to react with metal sulfides.
View Article and Find Full Text PDFIntroduction: Tacrolimus-induced thrombotic microangiopathy (TMA) causing acute kidney injury (AKI) without systemic features is a rare entity, particularly after non-renal solid organ transplantation.
Case Report: We describe the case of a patient with AKI after combined heart and lung transplantation. Renal biopsy revealed acute thrombotic microangiopathy which ultimately prompted initiation of eculizumab, a monoclonal antibody targeted against complement C5, with subsequent recovery in renal function.
The COVID-19 pandemic marked a before and after in the business world, causing a growing demand for applications that streamline operations, reduce delivery times and costs, and improve the quality of products. In this context, artificial intelligence (AI) has taken a relevant role in improving these processes, since it incorporates mathematical models that allow analyzing the logical structure of the systems to detect and reduce errors or failures in real-time. This study aimed to determine the most relevant aspects to be considered for detecting software defects using AI.
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