Search

Numerical cognition is critical for modern life; however, the precise neural mechanisms underpinning numerical magnitude allocation in humans remain obscure. Based upon previous reports demonstrating the close behavioral and neuro-anatomical relationship between number allocation and spatial attention, we hypothesized that these systems would be subject to similar control mechanisms, namely dynamic interhemispheric competition. We employed a physiological paradigm, combining visual and vestibular stimulation, to induce interhemispheric conflict and subsequent unihemispheric inhibition, as confirmed by transcranial direct current stimulation (tDCS). This allowed us to demonstrate the first systematic bidirectional modulation of numerical magnitude toward either higher or lower numbers, independently of either eye movements or spatial attention mediated biases. We incorporated both our findings and those from the most widely accepted theoretical framework for numerical cognition to present a novel unifying computational model that describes how numerical magnitude allocation is subject to dynamic interhemispheric competition. That is, numerical allocation is continually updated in a contextual manner based upon relative magnitude, with the right hemisphere responsible for smaller magnitudes and the left hemisphere for larger magnitudes.

This study validated the utilization of triacylglycerides (TAGs) by Pseudomonas mendocina CH50, a wild type strain, resulting in the production of novel mcl-PHAs with unique physical properties. A PHA yield of 58% dcw was obtained using 20g/L of coconut oil. Chemical and structural characterisation confirmed that the mcl-PHA produced was a terpolymer comprising of three different repeating monomer units, 3-hydroxyoctanoate, 3-hydroxydecanoate and 3-hydroxydodecanoate or P(3HO-3HD-3HDD). Bearing in mind the potential of P(3HO-3HD-3HDD) in biomedical research, especially in neural tissue engineering, in vitro biocompatibility studies were carried out using NG108-15 (neuronal) cells. Cell viability data confirmed that P(3HO-3HD-3HDD) supported the attachment and proliferation of NG108-15 and was therefore, confirmed to be biocompatible in nature and suitable for neural regeneration.

Complex signal Multi-frequency spectrum of nonlinear signals Frequency distribution of the strongly- correlated random frequencies Solar activity and its fine structure Prony decomposition Abstract The basic aim of the given paper is presentation of the basic principles of the new method defined as Non-orthogonal Amplitude Frequency Analysis of the Smoothed Signals (NAFASS). The new method is based on linear principle for the strongly-correlated variables and presentation of nonlinear signals. We demonstrate the possibilities of the NAFASS approach on analysis of real data related to dynamics and the fine structure of the Solar activity.

© The Royal Society of Chemistry and the Centre National de la Recherche Scientifique.Based on the recent results obtained in papers it has become possible to create an original theory for the quantitative detection/description of different electrode states in electrochemical measurements. This new approach allows for the taking into account of the influence of the apparatus function and for the quantitative comparison of two similar electrodes used for measurements of the same substance. The new approach does need unjustified suppositions and a specific model for the description of measured curves; the desired curves (reduced to an ideal experiment after the elimination of the apparatus function) are expressed quantitatively in terms of the so-called intermediate model. The fitting parameters of the intermediate model coincide with the fragment of the Fourier series used as the fitting function. Besides, the distribution of measurements has a universal distribution and can be expressed in terms of the fitting parameters associated with a beta distribution function. The new approach opens new perspectives for conventional electrochemistry and can be used as an accurate tool for the description of reproducible data, the detection of “traces” and the selection of the “best fit” model among competitive hypotheses suggested by theoretical electrochemistry.

© Springer International Publishing AG 2017. The paper studies the problem of language identification for audio files. For solving the problem, we use methods of digital signal processing only (without analysis of phonemes distinctive for language). A special attention is drawn to the form of signal in an area close to the position of a stop consonant. The evaluation is performed on a set of two languages; this includes speech records taken from TV programs. It is provided that solely one of the two languages (either Tatar or Russian) is used in each of files. Experimental evidence demonstrates the feasibility of the proposed techniques.