Sensitized schiff's reagent as an acid-base indicator

Bhattacharya, Swagata; Ghose, A.M.

doi:10.1016/s0003-2670(00)87743-0

Cited by 3 publications

(5 citation statements)

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“…The information contents of S(f) and (2) and S c (f) of S(f) and (2) ( ) Φ τ , respectively, were derived using the theory of generalized functions in Ref. [11].…”

Section: Basic Relationsmentioning

confidence: 99%

“…[11]. It was shown that structural functions (2) ( ) Φ τ are formed only by jump irregularities, and functions S(f), which characterize the "energy side" of the process, are formed by both types of irregularities, spikes and jumps.…”

Section: Basic Relationsmentioning

confidence: 99%

“…(τ) for this artificial signal (difference moment was not considered in [15]), it would be clear that it is equal to zero because the domain set of a δfunction sequence is a set of measure zero [16]. It is easy to numerically illustrate this statement by replacing δ -functions in calculating Φ c (2) (τ) with one of the well-known approximations; for example, Gaussian with dispersion 2 G σ , and then passing to the limit…”

Section: Basic Relationsmentioning

confidence: 99%

“…It should be noted that the sum of resonance and chaotic FNS interpolations for Φ (2) where the periodic behavior is most pronounced. Let us look at the variation for sensor pair 10-59 ( Fig.…”

Section: Cross-correlations In Neuromagnetic Responsesmentioning

confidence: 99%

“…Frequency and phase synchronization, presence of the correlations between characteristic frequencies and phases of the excitations in different parts of the cortex (specific neural ensembles) when the actual signals are uncorrelated, and amplitude synchronization of the excitations are the necessary conditions for the brain to function as an integral system [1,2].…”

Section: Introductionmentioning

confidence: 99%

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Frequency and phase synchronization in neuromagnetic cortical responses to flickering-color stimuli

et al. 2010

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In our earlier study dealing with the analysis of neuromagnetic responses (magnetoencephalograms -MEG) to flickering-color stimuli for a group of control human subjects (9 volunteers) and a patient with photosensitive epilepsy (a 12-year old girl), it was shown that Flicker-Noise Spectroscopy (FNS) was able to identify specific differences in the responses of each organism. The high specificity of individual MEG responses manifested itself in the values of FNS parameters for both chaotic and resonant components of the original signal.The present study applies the FNS cross-correlation function to the analysis of correlations between the MEG responses simultaneously measured at spatially separated points of the human cortex processing the red-blue flickering color stimulus. It is shown that the cross-correlations for control (healthy) subjects are characterized by frequency and phase synchronization at different points of the cortex, with the dynamics of neuromagnetic responses being determined by the low-frequency processes that correspond to normal physiological rhythms. But for the patient, the frequency and phase synchronization breaks down, which is associated with the suppression of cortical regulatory functions when the flickering-color stimulus is applied, and higher frequencies start playing the dominating role. This suggests that the disruption of correlations in the MEG responses is the indicator of pathological changes leading to photosensitive epilepsy, which can be used for developing a method of diagnosing the disease based on the analysis with the FNS cross-correlation function.

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“…The information contents of S(f) and (2) and S c (f) of S(f) and (2) ( ) Φ τ , respectively, were derived using the theory of generalized functions in Ref. [11].…”

Section: Basic Relationsmentioning

confidence: 99%

Section: Basic Relationsmentioning

confidence: 99%

Section: Basic Relationsmentioning

confidence: 99%

Section: Cross-correlations In Neuromagnetic Responsesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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