نتایج جستجو برای: snyder phantom

تعداد نتایج: 19456  

2012
Fatemeh Sadat Rasouli Seyed Farhad Masoudi

Introduction BNCT is an effective method to destroy brain tumoral cells while sparing the healthy tissues. The recommended flux for epithermal neutrons is 10 n/cms, which has the most effectiveness on deep-seated tumors. In this paper, it is indicated that using D-T neutron source and optimizing of Beam Shaping Assembly (BSA) leads to treating brain tumors in a reasonable time where all IAEA re...

Journal: :Advances in High Energy Physics 2016

Journal: :International Journal of Modern Physics A 2017

Journal: :Physics Letters B 2022

We consider generalizations of the Snyder algebra to a curved spacetime background with de Sitter symmetry. As special cases, we obtain algebras Yang model and triply relativity. discuss realizations these in terms canonical phase space coordinates, up fourth order deformation parameters. In case relativity also find exact realization, exploiting its algebraic relation model.

Journal: :Journal of neurochemistry 1979
L R Wechsler H E Savaki L Sokoloff

Amphetamine, a potent sympathomimetic amine, has powerful stimulant actions in the central nervous system. These actions are believed to be related to the influence of amphetamine on release and uptake of catecholamine neurotransmitters. The ['4C]deoxyglucose method makes it possible to study changes in cerebral metabolic rate in different areas of gray and white matter. Because of the close re...

Journal: :Physical review 2022

As was suggested twenty years ago, double-vortex condensation can drive a superconductor into fractionalized insulator with \ensuremath{\mathbb{Z}}${}_{2}$ topological order. With the advent of symmetry-protected phases, authors explore here effect strong correlation in weak superconductor, showing that gives rise to translation symmetry-enriched This $t\phantom{\rule{0}{0ex}}o\phantom{\rule{0}...

Journal: :Physical review fluids 2021

A data-driven wall model for turbulent flows over periodic hills is developed using a feedforward neural network and wall-resolved large-eddy simulation data. The employs wall-normal distance, near-wall velocities, pressure gradients as input features, the shear stresses output labels, respectively. In $a$ $p\phantom{\rule{0}{0ex}}r\phantom{\rule{0}{0ex}}i\phantom{\rule{0}{0ex}}o\phantom{\rule{...

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