ライフサイエンスコーパス: autocorrelation function

1 and the manifestation of oscillations in the autocorrelation function.

2 tions could be reproduced: SD, skewness, and autocorrelation function.

3 e gene expression noise by investigating its autocorrelation function.

4 netic rates of a gene circuit from its noise autocorrelation function.

5 structure of the noise is summarized by its autocorrelation function.

6 onstant was obtained by integrating the flux autocorrelation function.

7 ier series expansion of the A-tract distance autocorrelation function.

8 e modulation in the dynamic light-scattering autocorrelation function.

9 and a simple diffusion process describes the autocorrelation function.

10 that inferred from the width of the spectral autocorrelation function.

11 ts and, thus, the amplitude of the intensity autocorrelation function.

12 ibits non-trivial temporal decay of velocity autocorrelation functions.

13 odels to describe FCS data based on temporal autocorrelation functions.

14 two cumulants of this signal along with the autocorrelation function (ACF) were used to quantify lip

15 ed to calculate the single-particle velocity autocorrelation function across the normal-to-superfluid

16 tion recombination dynamics by analyzing the autocorrelation function and a proposed convoluted singl

17 tion time has an important effect on the FCS autocorrelation function and demonstrate its effect for

18 ntervals, we observe the oscillations in the autocorrelation function and noise amplification precedi

19 ng Monte Carlo simulations and computing the autocorrelation function and power spectrum from the sim

20 re we present analytical expressions for the autocorrelation function and power spectrum, which compa

21 The autocorrelation function and the photon count distributi

22 The nonexponential autocorrelation function and the power-law distribution

23 ethyl groups was monitored by calculation of autocorrelation functions and the generalized S2 order p

24 The expected forms of the autocorrelation function are discussed for the cases in

25 Time autocorrelation functions are found to decay exponential

26 We are able to acquire >3400 autocorrelation functions at multiple spatial positions

27 elation function C (Q)(r) and time-dependent autocorrelation function C (Q)(t) of the local tetrahedr

28 ing difference function was smoothed and its autocorrelation function calculated.

29 The autocorrelation functions calculated from images of plan

30 rence Delta T/T < 2.6 x 10(-5) at a Gaussian autocorrelation function centered at 0.5 degrees.

31 zation error and confinement on the velocity autocorrelation function, Cupsilon.

32 were found in a particular study to have an autocorrelation function decaying on the same time scale

33 The autocorrelation function depends in general on the kinet

34 The fluorescence fluctuation autocorrelation function depends in general on the kinet

35 We have derived the total autocorrelation function describing the behavior of mixt

36 eneralized eigenvalue equation, and the flux autocorrelation function for a dividing surface optimize

37 fluorescence correlation spectroscopy (FCS) autocorrelation function for the two models and test the

38 nformational changes, we also calculated the autocorrelation functions for the writhe and radius of g

39 strate its performance on simulated temporal autocorrelation functions for which the physical process

40 ysis of frames returns the speckle intensity autocorrelation function, g2(t), from which the frequenc

41 technique for evolution mapping of intensity autocorrelation function has enabled us to reveal a vari

42 expression for the fluorescence fluctuation autocorrelation function in the absence of contributions

43 Here, we show how autocorrelation functions in an interacting system of ph

44 al correlations indicated by slowly decaying autocorrelation functions in neuronal activity are depen

45 isplacement and the behavior of the velocity autocorrelation function is captured by accounting for t

46 diffusion constant for the one species whose autocorrelation function is fully time-resolved is unaff

47 structure factor extracted from the velocity autocorrelation function is in very good agreement with

48 tiling lattices, evident from the Patterson (autocorrelation) function, is approximately tau 2 times

49 (correlation) times from the gene expression autocorrelation functions, it is found not to depend on

50 eria, such as the runs-of-signs test and the autocorrelation function, might indicate a systematic la

51 Further the autocorrelation function obtained from the one dimension

52 llows recording of the vibrational frequency autocorrelation function of a (13)C = (18)O Gly34 probe.

53 the t(-3/2) long-time decay of the velocity autocorrelation function of a Brownian particle in bulk

54 raphical analysis of the normalised position autocorrelation function of an optically trapped bead, w

55 cal properties, we calculated the rotational autocorrelation function of each helix and the cross-cor

56 In addition to PCH, we also analyzed the autocorrelation function of EGFP.

57 ared nonstationary state and the (frequency) autocorrelation function of the excitation spectrum.

58 Similarly, the autocorrelation function of the fluorescence fluctuation

59 olume and the diffusion coefficient from the autocorrelation function of the fluorescence signal.

60 may be incomplete by examination of the time autocorrelation function of the longitudinal current, co

61 We compute the spatial autocorrelation function of the selected genes and find

62 The autocorrelation function of these data indicated transit

63 From such streak images, the autocorrelation function of these fluctuations can be co

64 mescale and time dependence for the temporal autocorrelation function of these intensity fluctuations

65 we showed that the cross-correlation and the autocorrelation functions of image intensity consisted o

66 The molecular dynamics trajectories yielded autocorrelation functions of proton dipole-dipole intera

67 Starting from the autocorrelation functions of the equilibrium bead fluctu

68 The spatial autocorrelation functions of the resulting images genera

69 The short-term running waveform autocorrelation functions of these stimuli show peaks at

70 omponent of the noise (given by the zero-lag autocorrelation function), our approach also considers t

71 Seasonality analysis was performed using autocorrelation function plots and spectral analysis.

72 The characteristic decay times of the autocorrelation functions report the rates of motion of

73 Both maps of fluctuations and local temporal autocorrelation functions reveal ATP-dependent transient

74 with a power law, whereas the intensity time autocorrelation functions show a surprising two-step rel

75 nted for based on temporal properties of the autocorrelation functions such as periodicity strength o

76 rk for this evaluation based on the temporal autocorrelation function (TACF), as previously shown the

77 ve a general expression for the fluorescence autocorrelation function that applies when those dynamic

78 tion probabilities are derived from velocity autocorrelation functions that are given a priori; in th

79 of the invalid cluster inferences is spatial autocorrelation functions that do not follow the assumed

80 robust mathematical formulation based on the autocorrelation function to extract the forward and reve

81 or adsorption were determined by fitting the autocorrelation functions to a kinetic model.

82 Best fits of the autocorrelation functions to appropriate theoretical for

83 This analysis is complementary to the autocorrelation function, traditionally used in fluoresc

84 ude of the first (non-zero lag) peak in this autocorrelation function was taken as the autocorrelatio

85 le model, which assumes a single exponential autocorrelation function, we estimated the time scales o

86 From FCS autocorrelation functions, we obtain the number of fluor

87 In addition, data from the autocorrelation function were analyzed using the maximum

88 Autocorrelation functions were fit using both a multiple

89 Fluorescence fluctuation autocorrelation functions were obtained for a fluorescen

90 The autocorrelation functions were separated based on their

91 othing of data (z-scores) and computation of autocorrelation functions were used to identify ISR cycl

92 n the work described here, the nature of the autocorrelation function when both surface association/d

93 expressions for the fluorescence fluctuation autocorrelation function when both surface association/d

94 his work describes the nature of the TIR-FCS autocorrelation function when both surface association/d

95 + H reaction was computed by using the flux autocorrelation function, with a time-independent square

96 ift are well modeled by a double-exponential autocorrelation function, with time constants similar ac