Disease progression modeling (DPM) of Alzheimer's disease (AD) aims at revealing long term pathological trajectories from short term clinical data. Along with the ability of providing a data-driven description of the natural evolution of the pathology, DPM has the potential of representing a valuable clinical instrument for automatic diagnosis, by explicitly describing the biomarker transition ...

BIBW 22, a phenylpteridine analogue of dipyridamole (DPM), enhanced vincristine cytotoxicity approximately 10 times more than DPM in a multidrug-resistant (MDR) KB V20C cell line. Using rhodamine 123 accumulation in KB V20C cells as an indicator of MDR phenotype, BIBW 22 was shown to be about 100 times more potent than DPM in inhibiting the MDR-associated efflux of rhodamine 123. Photolabeling ...

Abstract Discrete phase method (DPM) model was used to analyse rotary drum systems for segregation behavior. DPM simulations were performed comparison with a dynamic experimental measurement from the literature. This included and time-averaged particle velocity field, which validated data. In addition, direct parcel scaled simulation study effect of size scaling. The dynamics evaluated using La...

Dual Processing Theories (DPT) assume that human cognition is governed by two distinct types of processes typically referred to as type 1 (intuitive) and type 2 (deliberative). Based on DPT we have derived a Dual Processing Model (DPM) to describe and explain therapeutic medical decision-making. The DPM model indicates that doctors decide to treat when treatment benefits outweigh its harms, whi...

BACKGROUND Changing the fuel supply from petroleum based ultra-low sulfur diesel (ULSD) to biodiesel and its blends is considered by many to be a viable option for controlling exposures to particulate material (PM). This is critical in the mining industry where approximately 28,000 underground miners are potentially exposed to relatively high concentrations of diesel particulate matter (DPM). T...

Labile memory is thought to be held in the brain as persistent neural network activity. However, it is not known how biologically relevant memory circuits are organized and operate. Labile and persistent appetitive memory in Drosophila requires output after training from the α'β' subset of mushroom body (MB) neurons and from a pair of modulatory dorsal paired medial (DPM) neurons. DPM neurons i...

In this section, we briefly review Dirichlet process mixture model (DPM) and derive its marginal likelihood.

This paper presents a numerical analysis for complex 3D simulations of the Stirred Tank Reactor (STR) model by a modified discrete projection method (DPM) for rotating incompressible flow. For several prototypical configurations of the STR model, we examine the multigrid behaviour for the arising momentum and pressure Poisson subproblems for different values of the time step, the angular veloci...

We propose Dirichlet process mixture (DPM) models for prediction and cluster-wise variable selection, based on two choices of shrinkage baseline prior distributions the linear regression coefficients, namely, Horseshoe Normal-Gamma prior. show in a simulation study that each proposed DPM tends to outperform standard model non-shrinkage normal prior, terms predictive, clustering accuracy. This i...