Publications by authors named "S Bachmann"
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.
The trafficking dynamics of uromodulin (UMOD), the most abundant protein in human urine, play a critical role in the pathogenesis of kidney disease. Monoallelic mutations in the UMOD gene cause autosomal dominant tubulointerstitial kidney disease (ADTKD-UMOD), an incurable genetic disorder that leads to kidney failure. The disease is caused by the intracellular entrapment of mutant UMOD in kidney epithelial cells, but the precise mechanisms mediating disrupted UMOD trafficking remain elusive.
View Article and Find Full Text PDFThe use of antidepressants is well-documented for several health conditions. The determination of these drugs in biological fluids is often important in intoxication cases. However, appropriate sample preparation needs to be employed, such as dispersive liquid phase microextraction (DSPME).
View Article and Find Full Text PDFBackground: Pathogenic variants in the mismatch repair genes are associated with an elevated lifetime risk of colorectal cancer (CRC). We previously identified two variants of uncertain significance (VUS) in the MLH1 gene, c.696_698del, p.
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- * The study used continuous glucose monitoring data from a sports camp to assess the risk of nighttime hypoglycemia in children with T1D, employing machine learning models like random forest and deep neural networks.
- * Findings showed that the random forest model had a sensitivity of 71.1% and specificity of 75.8% in predicting nocturnal hypoglycemia, which is essential for taking timely actions to minimize risks for these children and their families.