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  • Copyright information:Taken from "Simulation and analysis of spatio-temporal maps of gastrointestinal motility"http://www.biomedical-engineering-online.com/content/7/1/2BioMedical Engineering OnLine 2008;7():2-2.Published online 14 Jan 2008PMCID:PMC2254420. In this simulation, contractions at five separate locations oscillated in the same rhythms up and down (white double arrow), mimicking contraction and relaxation (period a). In the next period (b) the frequency of oscillation was doubled. In period (c), the oscillations contracted at the first frequency while they also propagated to the right. In period (d) the speed of propagation was doubled.
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  • Copyright information:Taken from "Simulation and analysis of spatio-temporal maps of gastrointestinal motility"http://www.biomedical-engineering-online.com/content/7/1/2BioMedical Engineering OnLine 2008;7():2-2.Published online 14 Jan 2008PMCID:PMC2254420. In this simulation, contractions at five separate locations oscillated in the same rhythms up and down (white double arrow), mimicking contraction and relaxation (period a). In the next period (b) the frequency of oscillation was doubled. In period (c), the oscillations contracted at the first frequency while they also propagated to the right. In period (d) the speed of propagation was doubled.
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  • Copyright information:Taken from "Dynamical signatures of cellular fluctuations and oscillator stability in peripheral circadian clocks"Molecular Systems Biology 2007;3():93-93.Published online 13 Mar 2007PMCID:PMC1847945.Copyright © 2007, EMBO and Nature Publishing Group () An extended Kuramoto model for the oscillator phases φ() and frequencies () describes coupled circadian phase oscillators. The total luminescence signal () is the sum of a population of initially oscillators each contributing a cosine signal centered around a constant with relative amplitude . Cell death follows a Poisson process with time constant τ reflected by the indicator variable θ() taking value 1 before (and 0 after) cell has died. The time-dependent frequencies and phases of the individual oscillators are subject to a stochastic differential equation (cf. Materials and methods and ). () Sample frequency trajectory; γ and σ are free constants representing the inverse memory of the frequency trajectories and the frequency dispersion, respectively. () Parameter listing. describes the intercellular coupling between the phases and is taken as all-to-all. More realistic coupling geometries are considered in .
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  • Copyright information:Taken from "Dynamical signatures of cellular fluctuations and oscillator stability in peripheral circadian clocks"Molecular Systems Biology 2007;3():93-93.Published online 13 Mar 2007PMCID:PMC1847945.Copyright © 2007, EMBO and Nature Publishing Group () An extended Kuramoto model for the oscillator phases φ() and frequencies () describes coupled circadian phase oscillators. The total luminescence signal () is the sum of a population of initially oscillators each contributing a cosine signal centered around a constant with relative amplitude . Cell death follows a Poisson process with time constant τ reflected by the indicator variable θ() taking value 1 before (and 0 after) cell has died. The time-dependent frequencies and phases of the individual oscillators are subject to a stochastic differential equation (cf. Materials and methods and ). () Sample frequency trajectory; γ and σ are free constants representing the inverse memory of the frequency trajectories and the frequency dispersion, respectively. () Parameter listing. describes the intercellular coupling between the phases and is taken as all-to-all. More realistic coupling geometries are considered in .
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  • Copyright information:Taken from "Neutrophils: the forgotten cell in JIA disease pathogenesis"http://www.ped-rheum.com/content/5/1/13Pediatric Rheumatology Online Journal 2007;5():13-13.Published online 13 Jun 2007PMCID:PMC1904449. JRA patients express a small population (10–30% of the cells) that are MPO-positive and show both frequency and amplitude enhancement of NAD(P)H oscillations triggered by frequency-modulating LPS. These findings demonstrate a breakdown in the fundamental metabolic pathways regulating neutrophil oscillatory activities in JRA patients. From Jarvis et al, 2006. The authors retain the copyright for this material.
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  • Copyright information:Taken from "Neutrophils: the forgotten cell in JIA disease pathogenesis"http://www.ped-rheum.com/content/5/1/13Pediatric Rheumatology Online Journal 2007;5():13-13.Published online 13 Jun 2007PMCID:PMC1904449. JRA patients express a small population (10–30% of the cells) that are MPO-positive and show both frequency and amplitude enhancement of NAD(P)H oscillations triggered by frequency-modulating LPS. These findings demonstrate a breakdown in the fundamental metabolic pathways regulating neutrophil oscillatory activities in JRA patients. From Jarvis et al, 2006. The authors retain the copyright for this material.
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  • Figure S3. Influences on oscillation frequencies of the modules and hub nodes. For each of the 11 modules (1 plot per module), the influences on its frequencies of the modules and hub nodes (12 lines per plot corresponding to the modules and the hub nodes) are shown. The hub nodes become dominant in the process of global synchronization during the critical regime.
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  • Figure S3. Influences on oscillation frequencies of the modules and hub nodes. For each of the 11 modules (1 plot per module), the influences on its frequencies of the modules and hub nodes (12 lines per plot corresponding to the modules and the hub nodes) are shown. The hub nodes become dominant in the process of global synchronization during the critical regime.
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  • Copyright information:Taken from "Distinguishing low frequency oscillations within the 1/spectral behaviour of electromagnetic brain signals"http://www.behavioralandbrainfunctions.com/content/3/1/62Behavioral and brain functions : BBF 2007;3():62-62.Published online 10 Dec 2007PMCID:PMC2235870.e 4 conditions forms the normalisation curve(-).
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  • Copyright information:Taken from "Distinguishing low frequency oscillations within the 1/spectral behaviour of electromagnetic brain signals"http://www.behavioralandbrainfunctions.com/content/3/1/62Behavioral and brain functions : BBF 2007;3():62-62.Published online 10 Dec 2007PMCID:PMC2235870.nding spectrograms.
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