Introduction We present an analytical diffusion model for measuring axon radii distribution in orientationally unknown tissue using angular d-PGSE NMR. S-PGSE NMR reflects the underlying axon properties that restrict internal diffusion. Estimating these properties using s-PGSE, however, requires prior knowledge of tissue orientation and high q-values, inhibiting clinical application of these me...

We calculate the strength of the tidal field produced by the large-scale density field acting on primordial density perturbations in power law models. By analas-ing changes in the orientation of the deformation tensor, resulted from smoothing the density field on different mass scales, we show that the large-scale tidal field can strongly affect the morphology and orientation of density peaks. ...

Deep Convolutional Neural Networks (DCNN) have been proven to be effective for various computer vision problems. In this work, we demonstrate its effectiveness on a continuous object orientation estimation task, which requires prediction of 0◦ to 360◦ degrees orientation of the objects. We do so by proposing and comparing three continuous orientation prediction approaches designed for the DCNNs...

today, market orientation plays a vital role in determining customers’ needs and success of organizations. market orientation has also influenced various organizations’ measures including innovation. therefore the aim of this research is to study the role of market orientation in innovation of bodybuilding clubs of golestan province. the population of this study comprised all 170 managers of bo...

For a polyatomic molecule at zero total angular momentum, this paper shows that an internal motion with nonzero internal angular momentum within a (generalized) Eckart frame will produce a net rotation of the (generalized) Eckart frame in the center-of-mass frame. For a polyatomic molecule at nonzero total angular momentum, an internal motion within a generalized Eckart frame with nonzero orbit...