ライフサイエンスコーパス: diffusion process

1 rinsically organized, possibly by a reaction-diffusion process.

2 lecular morphogens interacting in a reaction-diffusion process.

3 u, even at 640 micro M, suggesting a passive diffusion process.

4 lier results based on the Ornstein-Uhlenbeck diffusion process.

5 zes the conformational space searched in the diffusion process.

6 are modeled by analogy to an effective eddy diffusion process.

7 ort on the lattice is modelled by a discrete diffusion process.

8 f these radicals play a critical role in the diffusion process.

9 nter likelihood throughout the network via a diffusion process.

10 saccharides to pass through by a facilitated diffusion process.

11 n a seed but fast enough to beat the surface diffusion process.

12 ted to better outcomes during the technology diffusion process.

13 otential explanatory predictors of the viral diffusion process.

14 hree clades followed a heterogeneous spatial diffusion process.

15 ductivity of LFS, thus improve the Li(+)-ion diffusion process.

16 the surface and bulk pathways to the overall diffusion process.

17 system is independent of the details of the diffusion process.

18 genetic/epigenetic alteration rates act as a diffusion process.

19 dealizing hillslope transport as a nonlinear diffusion process.

20 rs in heterogeneous electrochemical reaction-diffusion processes.

21 ontrast to the behavior seen for equilibrium diffusion processes.

22 many elementary steps, usually convoluted by diffusion processes.

23 ased efficiencies and yields in reaction and diffusion processes.

24 nder out-of-equilibrium conditions involving diffusion processes.

25 embedded in a solution with complex reaction-diffusion processes.

26 non-equilibrium fluctuations develop during diffusion processes.

27 nfluenced by osmosis, buoyancy, and reaction-diffusion processes.

28 ration of ligands, is affected by stochastic diffusion processes.

29 cribe the dehalogenation, recombination, and diffusion processes.

30 radically change the estimation of classical diffusion processes.

31 urately account for the effect of rho on the diffusion processes.

32 ng the initial microstructure and subsequent diffusion process, a higher performance magnet is expect

33 steady-state equilibrium with an additional diffusion process allowing Abeta deposits to diffuse ove

34 es may evolve from neutral macroevolutionary diffusion processes alone.

35 inetics could be modeled by a conformational diffusion process along a single-well free energy profil

36 Lys groups appear to have a role in the H(+) diffusion process and chemically modifying them blocks t

37 er/silane interface exists during the entire diffusion process and is lost when the silane molecules

38 rlo simulations, which reveal details of the diffusion process and provide insight into conditions at

39 led this process by a simple one-dimensional diffusion process and stochastic Langevin dynamics.

40 both the hypothetical expected time scale of diffusion process and the long time delay observed in th

41 anic optoelectronic devices, sputter-induced diffusion processes and roughness formation have only be

42 ivial connection between stochastic reaction-diffusion processes and spatio-temporal Cox processes, a

43 abilities, using a numerical solution of the diffusion process, and assuming independent binomial sam

44 Our approach is based on the diffusion process approximation and the resulting mathem

45 Stochastic reaction-diffusion processes are widely used to model such behavi

46 Diffusion processes are widespread in biological and che

47 nsive molecular statics calculations of pipe diffusion processes around irregular prismatic loops are

48 elf-assembly, self-organization and reaction-diffusion processes as essential features of cells.

49 o a recently introduced CSD derived from the diffusion process associated with the coalescent with re

50 ming independent binomial sampling from this diffusion process at each time point.

51 The direct experimental characterization of diffusion processes at nanoscale remains a challenge tha

52 t future directions for research on reaction-diffusion processes at the nano- and microscales that we

53 ing electrode allows for precise analysis of diffusion processes at the vicinity of the cell membrane

54 rs) were prepared via a spontaneous reaction-diffusion process based on periodic precipitation.

55 -based measurements of intracellular binding-diffusion processes, based on a closed-form equation of

56 ads to protein crowding that impedes lateral diffusion processes but is required for efficient light

57 lular space describes hindrance posed to the diffusion process by a geometrically complex medium in c

58 In the majority of cases, the diffusion process can be adequately described by Fick's

59 It is shown that the VI diffusion process can be suppressed by controlling the a

60 the Fisher-Kolmogorov framework of reaction-diffusion processes captures the observed fluctuations i

61 can be understood in terms of a simple jump-diffusion process, combining standard diffusion with Poi

62 By picking a set of source nodes, a diffusion process covers a portion of the network.

63 should interact multiplicatively because the diffusion process depends on the signal-to-noise ratio.

64 vivo than compared to in vitro, and a simple diffusion process describes the autocorrelation function

65 placenta are driven by a variety of flow and diffusion processes, diffusion-weighted MRI could enhanc

66 ment for the self-similar behavior of such a diffusion process, for which an exact self-similar analy

67 ime evolution takes place through a reaction-diffusion process, for which we develop a model that inc

68 se problem of learning a stochastic reaction-diffusion process from data.

69 hen propagated in the cytosol via a reaction-diffusion process from the endoplasmic reticulum.

70 r a variety of conditions that decoupled the diffusion process from the heparan sulfate binding pheno

71 ting technique to decouple the sedimentation-diffusion process from the reaction process.

72 assical SIR model by including mutation as a diffusion process in a phenotype space of variants.

73 n permeation is modeled as a continuum drift-diffusion process in a self-consistent electrostatic pot

74 al model that describes the coupled reaction-diffusion process in an established immunological synaps

75 to compare different properties of the water diffusion process in brain tissues, using different cont

76 eedom as well as to evaluate the rate of the diffusion process in competition with the backward react

77 etically limited by the sluggish solid-state diffusion process in electrode materials.

78 d loss of DNA over time may be due to a bulk diffusion process in many cases, highlighting the import

79 A facilitated diffusion process in which a DBP combines three-dimensio

80 s a major model system for studying reaction-diffusion processes in biology.

81 ord frequencies, and how they are related to diffusion processes in directed networks, or aging proce

82 easily implemented to the study of reaction-diffusion processes in live bacteria despite their small

83 Many diffusion processes in nature and society were found to

84 tical approach for controlling acid reaction/diffusion processes in photolithography.

85 ed volume effects in the context of reaction-diffusion processes in porous networks may lead to unexp

86 The knowledge of diffusion processes in semiconducting alloys is very imp

87 latform to accelerate mass-transport-limited diffusion processes in small-volume heterogeneous reacti

88 pectively) indicate a mechanism dominated by diffusion processes in these cases.

89 mistries, stochastically treats reaction and diffusion processes in three spatial dimensions, accurat

90 ery time with respect to the calculations of diffusion processes inside each phase from the first lay

91 exogenous lipid infusion, this interstitial diffusion process is curtailed.

92 A model of the adsorption/diffusion process is developed to provide a description

93 (2) If the diffusion process is interrupted, as in a cued-response

94 The diffusion process is modeled to calculate diffusion coef

95 SECM mode of operation is that the feedback diffusion process is not required for the measurement, a

96 The molecular nature of this diffusion process is poorly understood.

97 In particular, a diffusion process is shown to hold for the average allel

98 In all cases, the diffusion process is well-described by a refined version

99 The study of reaction-diffusion processes is much more complicated on general

100 persed in oil, and demonstrate that reaction-diffusion processes lead to chemical differentiation, wh

101 These findings can be explained by diffusion processes leading to a sample surface configur

102 ovide a real example of the kind of reaction-diffusion process long predicted to be a mechanism of pa

103 growth the balance between kinetics and the diffusion process may lead to fast, enhanced hydrodynami

104 recover the threshold behavior by analyzing diffusion processes mediated by real human commuting dat

105 neral approach to the description of electro-diffusion processes, namely, Nernst-Planck-Poisson (NPP)

106 the picosecond annealing and the nanosecond diffusion processes observed experimentally.

107 ures affect dramatically the behavior of the diffusion processes occurring on networks, determining t

108 ation in redox signal results from the lower diffusion process of ions during redox reaction after pr

109 lices reveals detailed information about the diffusion process of lipids in the acetabular cup and pr

110 icantly reduce energy consumption during the diffusion process of sodium ions, while the carbon-coate

111 ts of a motor enzyme are well described by a diffusion process on a two-dimensional potential energy

112 hese data are consistent with a conformation diffusion process on the folding energy landscape, in ac

113 We study the dynamics of reaction-diffusion processes on heterogeneous metapopulation netw

114 his impressive research, to date, the ligand diffusion processes remain unclear and controversial.

115 w that this coupling significantly slows the diffusion process, resulting in dynamic trapping of info

116 tailed numerical simulations of the reaction-diffusion process reveal that a shallow gradient of enzy

117 dynamic electron fluid supports a nonthermal diffusion process-such as an imbalance mode between diff

118 g to a stochastic two-state Markov switching-diffusion process that depends on the strength of the we

119 t to model evolution of features as a linear diffusion process that progresses with increasing geneti

120 pecifically, we discuss examples of reaction-diffusion processes that lead to such outcomes as self-a

121 Here we show that diffusion processes that occur far away from equilibrium

122 ase.DNA interactions, reflecting facilitated diffusion processes, that occur prior to EcoRI sequence

123 Through a reaction-diffusion process, the hydrophobic region expands with a

124 Pt adsorption sites by an activated surface diffusion process through the CoO shells surrounding app

125 posed by diffusion, analysis is developed of diffusion processes through stirred and unstirred media,

126 by effectively reducing a three-dimensional diffusion process to a spatially constrained, two-dimens

127 lified photoresists, uses a complex reaction-diffusion process to delineate patterned areas with high

128 one-choice RT tasks that uses a one-boundary diffusion process to represent the accumulation of stimu

129 e employed for the investigation of reaction-diffusion processes to additionally include cases in whi

130 t into the physical parameters affecting the diffusion process, to allow for more efficient and targe

131 porates a number of fundamental reaction and diffusion processes, treated in a fully stochastic manne

132 t process for the sampled chromosomes with a diffusion process used to model the evolution of the dis

133 resenting the levels of the two chemicals by diffusion processes, we assume their interaction is gove

134 To create a mathematical model of these diffusion processes, we have chosen as an example hydrog

135 In the past, diffusion processes were not accounted for, thereby posi

136 ce suggest that sliding involves a DNA twist-diffusion process whereby the DNA rotates about the heli

137 sistent with a nonzero starting value of the diffusion process, which increases and decreases decisio

138 efficient method to stochastically simulate diffusion processes, which at the same time allows synch

139 described by a classical, Einstein-type, 1D diffusion process with a diffusion coefficient of 2.710(

140 is telomere dynamics onto a biased branching-diffusion process with an absorbing boundary condition w

141 easure the spatial evolution of the reaction-diffusion process with nanometer resolution.

142 ring these intervals is shown to be given by diffusion processes with a diffusion coefficient that de

143 strategically positioned residues alter the diffusion processes within hemoglobin's subunits and sug