Recent measurements for F2(x, Q ) have been analyzed in terms of the ‘dynamical’ and ‘standard’ parton model approach at NLO and NNLO of perturbative QCD. Having fixed the relevant NLO and NNLO parton distributions, the implications and predictions for the longitudinal structure function FL(x,Q ) are presented. It is shown that the previously noted extreme perturbative NNLO/NLO instability of F...

We study nuclear e ects of charged current deep inelastic neutrino-iron scattering in the framework of a χ analysis of parton distribution functions (PDFs). We extract a set of iron PDFs which are used to compute xBj-dependent and Q -dependent nuclear correction factors for iron structure functions which are required in global analyses of free nucleon PDFs. We compare our results with nuclear c...

In this paper, we obtain the distribution functions of the range and the quasi-range of the random variables arising from the extended type I generalized logistic distribution.

Today, mobile devices have become an integral part of their possessor’s life. Learning using mobile devices has the advantage of receiving educational content at the moment when it is actually needed, or when the learner feels like s/he is able to study. Moreover, mobile devices used in education can augment the learning experience by delivering further information to the learner, depending on ...

Unlike device-centric monitoring, task-centric tracing enables an operator to causally trace the complete execution of a networked system across the boundaries of applications, protocols, and administrative domains. In this paper, we argue that causal, end-to-end tracing should be an integral part of network services. Moreover, it is not fundamentally difficult to achieve, given a primitive tha...

Abstract Understanding causal relationships is one of the most important goals modern science. So far, inference literature has focused almost exclusively on outcomes coming from Euclidean space Rp. However, it increasingly common that complex datasets are best summarized as data points in nonlinear spaces. In this paper, we present a novel framework effects for Wasserstein cumulative distribut...