The study aimed to create a pipeline from Monte Carlo simulated projections of a Gate PET system to reconstructed images. The PET system was modelled after the GE Discovery MI (DMI) PET/CT, and the simulated projections were reconstructed with the stand-alone reconstruction software CASToR. Attenuation correction, normalisation calibration, random estimation, and scatter estimation for the simulat

Hip fractures following a low-impact fall are common in the elderly. Finite element (FE) models of the proximal femur can improve the prediction of fracture risk over current clinical standards. Foramina in the femoral neck may influence its fracture mechanics, albeit the majority of FE modelling approaches do not consider them. This study aimed to show how foramina affect fracture propagation and

In this article, we construct and analyse an explicit numerical splitting method for a class of semi-linear stochastic differential equations (SDEs) with additive noise, where the drift is allowed to grow polynomially and satisfies a global one-sided Lipschitz condition. The method is proved to be mean-square convergent of order 1 and to preserve important structural properties of the SDE. First,

The economic development of Chile represents an interesting case of divergence and convergence with developed countries. In the late nineteenth century, its GDP per ca-pita was comparable with some countries of the European periphery and far exceeded the current developed countries of South East Asia. However, after the First World War and particularly in the years following the Great Depression,

We propose a novel multi-pose loss function to train a neural network for 6D pose estimation, using synthetic data and evaluating it on real images. Our loss is inspired by the VSD (Visible Surface Discrepancy) metric and relies on a differentiable renderer and CAD models. This novel multi-pose approach produces multiple weighted pose estimates to avoid getting stuck in local minima. Our method re

We present a constructive approach to bounded l2-gain adaptive control with noisy measurements for linear time-invariant scalar systems with uncertain parameters belonging to a finite set. The gain bound refers to the closed-loop system, including the learning procedure. The approach is based on forward dynamic programming to construct a finite-dimensional information state consisting of H-infinit

This study acknowledges that home is a central and valenced place for most people, and therefore it is assumed that (a) the content in people’s general category for home issues can be activated easily, particularly by various home-related stimuli, and that (b) the affective charge of such content can have a valence-congruent impact on evaluations of home-related stimuli. These assumptions were the

This article analyzes two planned cities—Belo Horizonte (Brazil) and Bloemfontein (South Africa)—to investigate connectivities across geographies and temporalities and reveal the role of urban planning in racial capitalism. Early works in urban sociology underscore the color line in producing differentiation in capitalist development. But color-blind analyses of capitalism have undermined the role