Aerobic exercise showed beneficial influence on cardiovascular systems in aging, and mechanisms underlying vascular adaption remain unclear. Large-conductance Ca2+ -activated K+(BKCa) channels play critical role s in regulating cellular excitability and vascular tone. This study determin ed the effects of aerobic exercise on aging -associated functional changes in BK Ca channels in cerebrovascular myocytes, Male Wistar rats aged 20- 22 mo nths were randomly assigned to sedentary (O -SED), low training frequency (O-EXL), and high training frequency group (O -EXH). Young rats were used as control. Compared to young rats, w hole -cell BK Ca current was decreased, and amplitude of spontaneous transient outward currents were reduced. The open probability and Ca2+/voltage sensitivity of single BK Ca channel were declined in O -SED, accompanied with a reduction of tamoxifen-induced BK Ca activation; the mean open time of BK Ca channels was shortened whereas close time was prolonged. Aerobic exercise training markedly alleviated the aging-associated decline independent of training frequency. Exercise three times rather than five times weekly may be a time and cost-saving training volume required to offer bene ficial effects to offset the functional declines of BK Ca during aging., Na Li, Bailin Liu, Sharon Xiang, Lijun Shi., and Obsahuje bibliografii
This paper preserits a framework for processing heterogeneous information based on the construction of general observational domains, and similarity-based function calculi sutable for data mining in domains which can be described by corresponding observational rnodels. These calculi are intuitive, sirnple, and sufřiciently general for classification and pattern recognition tasks. Functions in these calculi are represented by a particular kind of neuron rnodels and their behavior is illustrated with examples frorn real-world domains showing their capabilities in Processing heterogeneous, incornplete and fuzzy information.
In this paper, the description of the new neurosimulator SiMoNNe is
presented. This simulator should facilitate the design of a new artificial neural network paradigm to a designer. A user can fully concentrate on the network design while working with SiMoNNe instead of the low-effective adaptation of the existing neural network paradigm or simulator. The crucial thing for the SiMoNNe simulator is a language containing resources for description, execution and debugging of a neural network. The SiMoNNe simulátor can he optimized for a particular application. The architecture of SiMoNNe assumes taking advantages of the internet.
We propose a generalization of simple coalition games in the context of games with fuzzy coalitions. Mimicking the correspondence of simple games with non-constant monotone formulas of classical logic, we introduce simple Łukasiewicz games using monotone formulas of Łukasiewicz logic, one of the most prominent fuzzy logics. We study the core solution on the class of simple Łukasiewicz games and show that cores of such games are determined by finitely-many linear constraints only. The non-emptiness of core is completely characterized in terms of balanced systems and by the presence of strong veto players.
In lasermike (laser measuring scanner) the measurement information is converted to become time-dependent by scanning. An object to be measured is scanned transversely by a laser beam waist. An angular scanning is transformed into linear by scan lens and the detector output signal is of the form of shadow of an object. Assuming constant scan velocity, the shadow time is the measure of the size of an objedt. A quick scanning of a beam makes lasermikes indispensable in all kinds of dynamic operations. There are four main areas of application: read/write/ display, technology, medicine nad measurement.
In the presented paper the scanned laser beam is split into two mutually orthogonal beams giving information not only about the dimension, but also about the position and the form of an object. The reference standard introduces within the measuring area enables the simultaneous calibration of the system. We used the simple polygon-mirror-based scanner driven by synchronous motor. The system operates in the 10x10 mm range with resolution 0.1 μm. and Obsahuje seznam literatury
Recurrent neural networks (RNNs) have much larger potential than
classical feed-forward neural networks. Their output responses depend also on the time position of a given input and they can be successfully used in spatio-temporal task Processing. RNNs are often used in the cognitive science community to process symbol sequences that represent various natural language structures. Usually they are trained by common gradient-based algorithms such as real time recurrent learning (RTRL) or backpropagation through time (BPTT). This work compares the RTRL algorithm that represents gradient based approaches with extended Kalman filter (EKF) methodology adopted for training the Elman’s simple recurrent network (SRN). We used data sets containing recursive structures inspired by studies of cognitive science community and trained SRN for the next symbol prediction task. The EKF approach, although computationally more expensive, shows higher robustness and the resulting next symbol prediction performance is higher.
This short note is a continuation of and and its purpose is to show that every simple zeropotent paramedial groupoid containing at least three elements is strongly balanced in the sense of [4].
The paper studies the problem of lowering the orders of input derivatives in nonlinear generalized state equations via generalized coordinate transformation. An alternative, computation-oriented proof is presented for the theorem, originally proved by Delaleau and Respondek, giving necessary and sufficient conditions for existence of such a transformation, in terms of commutativity of certain vector fields. Moreover, the dual conditions in terms of 1-forms have been derived, allowing to calculate the new generalized state coordinates in a simpler way. The result is illustrated with an example, originally given by Delaleau and Respondek (see [2]), but solved in an alternative way.
We revisit a hydrodynamical model, derived by Wong from Time-Dependent-Hartree-Fock approximation, to obtain a simplified version of nuclear matter. We obtain well-posed problems of Navier-Stokes-Poisson-Yukawa type, with some unusual features due to quantum aspects, for which one can prove local existence. In the case of a one-dimensional nuclear slab, we can prove a result of global existence, by using a formal analogy with some model of nonlinear ''viscoelastic'' rods.