We present the MCscales approach for incorporating scale uncertainties in parton distribution functions (PDFs). The new methodology builds on Monte Carlo sampling propagating experimental into PDF space that underlies NNPDF approach, but it extends to of factorisation and renomalisation scales. A prior probability is assigned each combinations set theoretical predictions used obtain replica ens...

During in vitro broth culture, bacterial gene expression is typically dominated by highly expressed factors involved in protein biosynthesis, maturation, and folding, but it is unclear if this also applies to conditions in natural environments. Here, we used a promoter trap strategy with an unstable green fluorescent protein reporter that can be detected in infected mouse tissues to identify 21...

To ensure good thermal performance is delivered consistently and at scale, there is a need to measure and understand the asbuilt heat loss of dwellings. Co-heating is a steady state, linear regression method, used to measure whole building heat transfer coefficients. This paper assesses the uncertainties in such outdoor, in situ, measurements due to the presence and treatment of solar gains. Un...

This paper applies parallel tempering within a Bayesian formulation for strongly nonlinear geoacoustic inverse problems. Bayesian geoacoustic inversion consists of sampling the posterior probability density (PPD) of seabed parameters to estimate integral properties, such as marginal probability distributions, based on ocean acoustic data and prior information. This sampling is usually carried o...

A novel probabilistic methodology for regional seismic site characterization is proposed and applied to a region with highly heterogeneous surficial geology varying soil sediment thickness stiffness. The method combines various sources of geological geotechnical uncertainties develop three-dimensional (3D) shear-wave velocity ( V s ) model evaluate the associated uncertainties. 3D unconsolidate...