Publications by authors named "V Vitelli"
Background: Risk reducing mastectomy (RRM) is an option for women with pathogenic germline variants in BRCA1 or BRCA2 (BRCA1/2). This study investigates and compares RRM-uptake among Norwegian BRCA1/2 carriers from 2008 to 2021, temporal trends, and incidence of breast cancer (BC) after surgery.
Methods: BRCA1/2 carriers without prior breast or ovarian cancer, tested at Oslo University Hospital between January 1st 2008 and December 31st 2021 were included in the study.
Recent studies have identified relationships between diabetes mellitus and short-chain fatty acids, including 2-hydroxybutyrate (2-HB) and 2-hydroxyisobutyrate (2-HiB); 2-HB has been associated to the early stages of insulin resistance, while 2-HiB with the risk and progression of complications of Type 1 diabetes. Their metabolism and pathophysiological role in humans are not fully clarified. The possible association between 2-HB and 2-HiB and diabetes mellitus was investigated with a novel mass spectrometry-based assay, capable of discriminating plasma 2-HiB and 2-HB from their HB isomers.
View Article and Find Full Text PDFIntermittency refers to the broken self-similarity of turbulent flows caused by anomalous spatiotemporal fluctuations. In this Letter, we ask how intermittency is affected by a nondissipative viscosity, known as odd viscosity (also Hall viscosity or gyroviscosity), which appears in parity-breaking fluids such as magnetized polyatomic gases, electron fluids under magnetic field, and spinning colloids or grains. Using a combination of Navier-Stokes simulations and theory, we show that intermittency is suppressed by odd viscosity at small scales.
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- Researchers created a 3D model of the thyroid gland to study how different substances, like 3-MNT, affect thyroid cells better than flat 2D cultures.
- They tested the model using special techniques to see how the cells looked and how well they worked, finding that the 3D structure behaved more like real thyroid tissue.
- The study found that 3MNT changed the activity of a specific thyroid enzyme and affected the production of important proteins, making the 3D model a useful tool for understanding thyroid health.
We present a data-driven pipeline for model building that combines interpretable machine learning, hydrodynamic theories, and microscopic models. The goal is to uncover the underlying processes governing nonlinear dynamics experiments. We exemplify our method with data from microfluidic experiments where crystals of streaming droplets support the propagation of nonlinear waves absent in passive crystals.
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