RAST-F is a new full-core analysis code based on the two-step approach that couples a multi-group cross-section generation Monte-Carlo code MCS and a multi-group nodal diffusion solver.To demonstrate the feasibility of using MCS/RAST-F for fast reactor analysis, this paper presents the coupled nodal code verification results for the MET-1000 and CA
Taking the bund stampede in December 31th,2014 as an example,the urgent problems of the population surveillance and trend alert analysis in mass gatherings were proposed:population statistics and the flow density in the ALL IN ONE NUTRITIONAL SHAKE CHOCO scenic,flow and velocity analysis,the judgments of stop-and-go or head-on walking phenomenon in
The relentless growth of modern Machine Learning models has COLOR PERFECT spurred the adoption of sparsification techniques to simplify their architectures and reduce the computational demands.Network pruning has demonstrated success in maintaining original network accuracy while shedding significant portions of the original weights.However, levera
Obstructive sleep apnoea (OSA) and restless legs syndrome (RLS) are two serveware of the most prevalent sleep disorders and can coexist within the same patient.Nonetheless, the recognition of RLS among OSA patients has important clinical implications, since RLS can disrupt sleep despite adequate treatment of sleep disordered breathing and should be
We report the accuracy of a two-layer, back-propagation artificial neural network in identifying edibility of a set of random mushrooms.Mushrooms edibility was synthesized using many different characteristics.Tests Hoof Care were run using different combinations of number of hidden nodes, Oven Selector Switch separation of training, validation, and