A numerical approach for the numerical optimization of stirrer configurations is presented. The methodology is based on a parametrized grid generator, a flow solver, and a mathematical optimization tool, which are integrated into an automated procedure. The flow solver is based on the discretization of the Navier-Stokes equations by means of the finite-volume method for block-structured, bounda...

The partitioning of lysozyme and extraction yield in an aqueous two-phase system containing Poly Vinyl Pyrrolidone (PVP) K25 and potassium phosphate were investigated as a function of weight percent of salt and PVP in the feed, temperature, and pH. To investigate partitioning behavior, the central composite design was considered using a quadratic model. According to the results of the model...

The partitioning of a discretized computational domain is fundamental for solving many application problems on parallel high performance computer systems. This is also the key to work load balancing and minimizing communication overhead. This contribution focus on partitioning of real application problems for the parallel TOUGH2 software. TOUGH2 is a widely used reservoir simulator for solving ...

Statistical partitioning and publishing is commonly used in location-based big data services to address queries such as the number of points interest, available vehicles, traffic flows, infected patients, etc., within a certain range. Adding noise perturbation statistical according differential privacy model can reduce various risks caused by location leakage while keeping characteristics publi...

A d-dimensional grid graph G is the graph on a finite subset in the integer lattice Z in which a vertex x = (x1, x2, · · · , xn) is joined to another vertex y = (y1, y2, · · · , yn) if for some i we have |xi − yi| = 1 and xj = yj for all j 6= i. G is hyper-rectangular if its set of vertices forms [K1] × [K2] × · · · × [Kd], where each Ki is a nonnegative integer, [Ki] = {0, 1, · · · , Ki−1}. Th...

Spatial variability plays an important role in nonlinear hydrologic processes. Due to the limitation of computational efficiency and data resolution, subgrid variability is usually assumed to be uniform for most grid-based rainfall-runoff models, which leads to the scale-dependence of model performances. In this paper, the scale effect on the Grid-Xinanjiang model was examined. The bias of the ...

Objective The main purpose of this article is to choose the best predictive model for IVF/ICSI classification and to calculate the probability of IVF/ICSI success for each couple using Artificial intelligence. Also, we aimed to find the most effective factors for prediction of ART success in infertile couples. MaterialsAndMethods In this cross-sectional study, the data of 486 patients are colle...