Developing a distributed debugger is much more complex than developing a sequential debugger. This added complexity is mainly due to the non-determinism of events that communication delays introduce into distributed systems. We explore the problems that one must address when designing a distributed program debugger and then describe our design and implementation of DPD (distributed program debu...

Coarse graining of dense liquid-state systems can potentially lead to fast simulation times, thus providing an effective bridge between atomistic and continuum descriptions. Dissipative particle dynamics (DPD) is a stochastic Lagrangian method that provides a simple formal procedure for coarse graining. Here we analyze some of the fundamental modeling ideas of DPD and identify three factors tha...

The method of dissipative particle dynamics (DPD) is an effective, coarse grained model of the hydrodynamics of complex fluids. DPD simulations of wall-bounded flows are however often associated with spurious fluctuations of the fluid properties near the wall. We present a novel stochastic boundary forcing for DPD simulations of wall-bounded flows, based on the identification of fluctuations in...

The four-body dissociative photodetachment (DPD) dynamics of O-8 were studied using photoelectron photofragment coincidence (PPC) spectroscopy. All four neutral photofragments were measured in coincidence with the photodetached electron, yielding a five-body kinematically complete experiment. Velocity and angular correlations for DPD of O(-)(8) are presented and compared to those for O(-)(6). T...

The aim of this study was to develop a dual-modality PET/MR imaging probe by radiolabeling iron oxide magnetic nanoparticles (IONPs), surface functionalized with water soluble stabilizer 2,3-dicarboxypropane-1,1-diphosphonic acid (DPD), with the positron emitter Gallium-68. Magnetite nanoparticles (Fe3O4 MNPs) were synthesized via coprecipitation method and were stabilized with DPD. The Fe3O4-D...

Dissipative particle dynamics (DPD) is a relatively new mesoscopic simulation approach, which has been successfully applied in modeling complex fluids in periodic domains. A recent modification [1] has allowed DPD simulations of polymers for realistic values of the Schmidt number. However, DPD and its extensions encounter difficulties in simulating even simple fluids in wall-bounded domains. Th...

Efforts to expand kidney paired donation have included matching nondirected donors (NDDs) to incompatible pairs. In domino paired donation (DPD), an NDD gives to the recipient of an incompatible pair, beginning a string of simultaneous transplants that ends with a living donor giving to a recipient on the deceased donor waitlist. Recently, nonsimultaneous extended altruistic donor (NEAD) chains...

This paper presents a hybrid algorithm of two popular heuristics namely Differential Evolution (DE) and Particle Swarm Optimization (PSO) on a tri-population environment. Initially, the whole population (in increasing order of fitness) is divided into three groups – Inferior Group, Mid Group and Superior Group. DE is employed in the inferior and superior groups, whereas PSO is used in the mid-g...

BACKGROUND The therapeutic effects of oral capecitabine are proposed to be determined by the equilibrium of two intratumoral metabolizing enzymes, namely thymidine phosphorylase (TP) and dihydropyrimidine dehydrogenase (DPD). The present study aims to evaluate this hypothesis by in vivo experiments and immunohistochemical analysis in 31 cases of human breast carcinoma. MATERIALS AND METHODS T...