14 research outputs found
ПИТАННЯ РОЗРОБКИ НОРМАТИВІВ ДИСТАНЦІЙНОГО НАВЧАННЯ В ПІСЛЯДИПЛОМНІЙ МЕДИЧНІЙ ОСВІТІ
Main principles of model building of the postgraduate medical education grounded on internally-correspondence principles with usage of distance technologies are considered and proved. Step-by-step transition to self-instruction which should be supported by the certificated educational and methodical materials for distance training is regulated.Рассматриваются и обосновываются основные принципы разработки модели последипломного медицинского образования, основанного на очно-заочных принципах с использованием дистанционных технологий. Регламентируется постепенный переход на самостоятельную работу, которая должна поддерживаться сертифицированными учебно-методическими материалами для дистанционного обучения.Розглядаються та обґрунтовуються основні принципи розробки моделі післядипломної медичної освіти, заснованої на очно-заочних принципах з використанням дистанційних технологій. Регламентується поступовий перехід на самостійну роботу, що повинна бути підтримана сертифікованими навчально-методичними матеріалами для дистанційного навчання
Influence of Deleterious Phases Precipitation in the Corrosion Resistance Measured by Double Loop Electrochemical Polarization Reactivation Test in Superduplex Stainless Steel
25th Annual Computational Neuroscience Meeting: CNS-2016
Abstracts of the 25th Annual Computational Neuroscience
Meeting: CNS-2016
Seogwipo City, Jeju-do, South Korea. 2–7 July 201
25th annual computational neuroscience meeting: CNS-2016
The same neuron may play different functional roles in the neural circuits to which it belongs. For example, neurons in the Tritonia pedal ganglia may participate in variable phases of the swim motor rhythms [1]. While such neuronal functional variability is likely to play a major role the delivery of the functionality of neural systems, it is difficult to study it in most nervous systems. We work on the pyloric rhythm network of the crustacean stomatogastric ganglion (STG) [2]. Typically network models of the STG treat neurons of the same functional type as a single model neuron (e.g. PD neurons), assuming the same conductance parameters for these neurons and implying their synchronous firing [3, 4]. However, simultaneous recording of PD neurons shows differences between the timings of spikes of these neurons. This may indicate functional variability of these neurons. Here we modelled separately the two PD neurons of the STG in a multi-neuron model of the pyloric network. Our neuron models comply with known correlations between conductance parameters of ionic currents. Our results reproduce the experimental finding of increasing spike time distance between spikes originating from the two model PD neurons during their synchronised burst phase. The PD neuron with the larger calcium conductance generates its spikes before the other PD neuron. Larger potassium conductance values in the follower neuron imply longer delays between spikes, see Fig. 17.Neuromodulators change the conductance parameters of neurons and maintain the ratios of these parameters [5]. Our results show that such changes may shift the individual contribution of two PD neurons to the PD-phase of the pyloric rhythm altering their functionality within this rhythm. Our work paves the way towards an accessible experimental and computational framework for the analysis of the mechanisms and impact of functional variability of neurons within the neural circuits to which they belong
Propagation of magnetostatic surface waves in a ferrite plate magnetized by a spatially periodic transverse field
Stochastic instability of the magnetostatic surface wave trajectories in a ferrite film magnetized by a modulated field with a banklike profile
Magnonic crystals—Prospective structures for shaping spin waves in nanoscale
We have investigated theoretically band structure of spin waves in magnonic crystals with periodicity in one(1D),
two- (2D) and three-dimensions (3D). We have solved Landau–Lifshitz equation with the use of plane
wave method, finite element method in frequency domain and micromagnetic simulations in time domain to find
the dynamics of spin waves and spectrum of their eigenmodes. The spin wave spectra were calculated in linear
approximation. In this paper we show usefulness of these methods in calculations of various types of spin waves.
We demonstrate the surface character of the Damon–Eshbach spin wave in 1D magnonic crystals and change of
its surface localization with the band number and wavenumber in the first Brillouin zone. The surface property
of the spin wave excitation is further exploited by covering plate of the magnonic crystal with conductor. The
band structure in 2D magnonic crystals is complex due to additional spatial inhomogeneity introduced by the
demagnetizing field. This modifies spin wave dispersion, makes the band structure of magnonic crystals strongly
dependent on shape of the inclusions and type of the lattice. The inhomogeneity of the internal magnetic field
becomes unimportant for magnonic crystals with small lattice constant, where exchange interactions dominate.
For 3D magnonic crystals, characterized by small lattice constant, wide magnonic band gap is found. We show
that the spatial distribution of different materials in magnonic crystals can be explored for tailored effective
damping of spin wave