Background: Surgical site infections (SSIs) lead to increased mortality and morbidity, as well as increased healthcare costs. Multiple models for the prediction of this serious surgical complication have been developed, with an increasing use of machine learning (ML) tools.
Objective: The aim of this systematic review was to assess the performance as well as the methodological quality of validated ML models for the prediction of SSIs.
Two new species are described from the family Polyxenidae. Monographis panhai sp. nov.
View Article and Find Full Text PDFMethane emissions from oil and gas production provide an important contribution to global warming. We investigate 2020 emissions from the largest gas field in Algeria, Hassi R'Mel, and the oil-production-dominated area Hassi Messaoud. We use methane data from the high-resolution (20 m) Sentinel-2 instruments to identify and estimate emission time series for 11 superemitters (including 10 unlit flares).
View Article and Find Full Text PDFBiochem Biophys Res Commun
September 2023
Nephronophthisis (NPH), an autosomal recessive ciliopathy, results from mutations in more than 20 different genes (NPHPs). These gene products form protein complexes that regulate trafficking within the cilium, a microtubular structure that plays a crucial role in developmental processes. Several NPHPs, including NPHP2/Inversin, have been linked to extraciliary functions.
View Article and Find Full Text PDFFour new species of penicillate millipedes from the genus Monographis Attems, 1907, collected from various regions in Vietnam, are described. They show distinctive morphological characteristics on the labrum, telotarsus, and sensilla on antennal article VI. Monographis cattienensis sp.
View Article and Find Full Text PDF