ライフサイエンスコーパス: ensemble average

1 dual particle method, whereas HTDMA sees the ensemble average.

2 y a small number of enzymes, rather than the ensemble average.

3 ed when individual particle compositions are ensemble averaged.

4 le forcing solution investigations to report ensemble averages.

5 h time series of individual trajectories and ensemble averages.

6 generate detectable signals that are usually ensemble-averaged.

7 ehavior of biological systems, unobscured by ensemble averaging.

8 s of individual DHODA molecules, eliminating ensemble averaging.

9 known to avoid the ambiguities introduced by ensemble averaging.

10 h studies, leveraging their ability to avoid ensemble averaging.

11 higher skill than forecasts based solely on ensemble averaging.

12 lecules to physical observables, unmasked by ensemble averaging.

13 of individual wires is difficult because of ensemble averaging.

14 liquids and biological systems unobscured by ensemble averaging.

15 dth are shown to be considerably affected by ensemble averaging.

16 eal properties of the exciton states without ensemble averaging.

17 geneous ensemble are difficult to probe with ensemble averaging.

18 dentified in macroscopic measurements due to ensemble averaging.

19 The ensemble averages accounted for the experimental data mu

20 s are hardly ever accessible through bulk or ensemble averaged activity screening, insights into the

21 ity distribution' to summarize statistics of ensemble averaged amino acid propensity values.

22 with the structural changes revealed by the ensemble-averaged analysis of dry samples.

23 ie these transformations is often limited to ensemble-averaging analytical techniques.

24 the PVP waveform from the same waveform via ensemble averaging and calibrate it to the brachial BP l

25 Despite these insights, ensemble-averaging approaches have not determined the pr

26 opposite; and 3) the transition state dimer ensemble averages approximately 40% helical.

27 extensive molecular dynamics simulations and ensemble averaging are required to reproduce the observe

28 For the single-cycle system, the ensemble average behavior follows the ultrasensitive res

29 imulation length, by the independence of the ensemble-averaged Boltzmann factors to simulation length

30 ional changes in that structure, both at the ensemble-average (bulk) and at the single molecule level

31 bulk techniques that generate time and cell ensemble averages, but cannot capture cell-to-cell varia

32 he power stroke of motors can be analyzed by ensemble averaging, but this obscures infrequent subcate

33 here cadherin molecules were less rigid, the ensemble-average cadherin diffusion coefficient was syst

34 ed sequence prediction algorithm and a novel ensemble averaging calculation, we generate a diverse co

35 nformation that otherwise would be hidden in ensemble averaging can be obtained.

36 This finding demonstrates that ensemble averaging can disguise the presence of multiple

37 nd to be only effective at approximating the ensemble averaged cell number density when mechanical in

38 vity of single zeolite catalyst particles by ensemble-averaging characterization methods.

39 the underlying ensembles giving rise to the ensemble-averaged chemical shifts.

40 (nn) and long-range (lr) components from the ensemble-average cooperativity, omegaave.

41 Ensemble-average coordinates from REMD served as a scori

42 Jarzynski equality evaluated from the ideal ensemble average could, in principle, depend on the redu

43 depolarized potential, yielding a transient ensemble average current with a rapid decay (tau, approx

44 beta-adrenergic stimulation enhanced ensemble-averaged current (from 0.18 +/- 0.01 to 0.75 +/

45 alpha 1-adrenergic activation reduced ensemble-averaged current (from 0.75 +/- 0.04 to 0.41 +/

46 During control conditions, the ensemble-averaged current amplitude was 0.18 +/- 0.01 pA

47 ast, with barium ions permeating the channel ensemble-averaged currents displayed only a single, slow

48 alpha 1-adrenergic activation also inhibited ensemble-averaged currents stimulated by a low concentra

49 an implicit basis to interpret experimental ensemble-averaged data.

50 e open channel persistence length, i.e., the ensemble average distance from a channel opening to the

51 n times tau(c), the r(-6)-weighted, time and ensemble-averaged distance between the spin label and 30

52 f structures, the dRMS deviation between the ensemble-averaged distance matrix and any given referenc

53 Similar ensemble averages done at different forces showed that t

54 g affected by the heterogeneous processes of ensemble-averaged dynamics.

55 molecular dynamics simulations to calculate ensemble-averaged electric fields in solvents and in rib

56 nt NMR diffusion measurements, which provide ensemble-averaged estimates of the radius of gyration an

57 nhanced REPs are narrow in comparison to the ensemble-averaged excitation profiles due to a reduction

58 on folded), a measurable quantity by routine ensemble-averaged experimental techniques at dilute prot

59 , if not impossible, to characterize them by ensemble-averaged experiments or by single-channel recor

60 or stretched-exponential ET dynamics in the ensemble-averaged experiments, often associated with dyn

61 , which are essentially indistinguishable in ensemble-averaged experiments, were determined separatel

62 gle-molecule studies but not by conventional ensemble-averaged experiments.

63 olecule photon-stamping technique as well as ensemble-averaged femtosecond transient absorption spect

64 In particular, the ensemble-average fluorescence intensity decay for the do

65 r, we discuss two theoretical models for the ensemble-average fluorescence intensity decay of the don

66 Ensemble averaging for each event category revealed that

67 bundance of each state and substate, and the ensemble average free energy of the transition between n

68 The ensemble averaged global structure of this 12-mer peptid

69 stablish a protocol for determination of the ensemble-averaged global solution structure and mechanic

70 genome structures, either deconvoluted from ensemble-averaged Hi-C data or from a collection of sing

71 ells poses a great challenge to interpreting ensemble-averaged Hi-C data, particularly for long-range

72 Using correlated ensemble-averaged high-throughput X-ray absorption spect

73 he mechanism of translation is challenged by ensemble averaging in bulk solutions.

74 number of lineage markers and the effects of ensemble averaging in conventional transcriptome analysi

75 overcome the complications of asynchrony and ensemble-averaging in bulk-phase measurements, provide m

76 els in inside-out macropatches increased the ensemble-averaged INa by 32.5 +/- 6.8 % (n = 8, P < 0.05

77 transient nature of complexes formed and the ensemble averaging inherent to most biochemical work.

78 Ensemble-averaged intramolecular fluorescent resonance e

79 The ensemble averages involved in traditional bulk calorimet

80 behavior that is not well represented in the ensemble average is readily observed.

81 of vibrational frequencies hidden under the ensemble average is revealed by examining the single-mol

82 The role of ensemble averaging is further explored in realistic dist

83 Temperature is a measure of the ensemble average kinetic molecular energy of all solutio

84 Upon depolarization the ensemble-averaged LCC current decayed with a fast and a

85 This ultimate method for unraveling ensemble averages leads to the observation of new effect

86 inuous-flow fluorescence measurements at the ensemble-averaged level.

87 respondence is found between the calculated (ensemble-averaged) location of water molecules and the w

88 Ensemble-averaged MD simulations of the L29F mutant of m

89 d memory parameter estimates, as well as the ensemble average mean square displacement reveal subdiff

90 The ensemble-averaged mean square displacement (MSD) exhibit

91 The time-dependent ensemble-averaged mean-squared displacements of all of t

92 rize and analyze such complex dynamics in an ensemble-averaged measurement, especially when the enzym

93 avior that would otherwise be obscured in an ensemble-averaged measurement.

94 cules which would normally be obscured in an ensemble-averaged measurement.

95 emomechanical coupling is primarily based on ensemble average measurements in solution and muscle fib

96 ions for experiments which find structure in ensemble-averaged measurements.

97 ty in powders can reveal information lost in ensemble-averaged measurements.

98 As time- and ensemble-averaged measures, NMR observables contain info

99 Conventional ensemble averaging methods used to probe sPLA2 activity

100 ocess which would be difficult to observe by ensemble-averaged methods.

101 Upon repolarization, ensemble-averaged mI(Kr) showed slow deactivation with a

102 Also, the superiority of the multimodel ensemble average (MM) to any 1 individual model, already

103 Ensemble average monolayer properties calculated from si

104 % highest values of MSD and viscosity to the ensemble-averaged MSD and viscosity.

105 rated solution of the longest molecules, the ensemble-averaged MSD increases linearly with time at al

106 ccounts for both noise in the data and their ensemble-averaged nature.

107 r side-chain flaws by taking into account an ensemble average of chemical shifts over all of the conf

108 for the observed binding constant Kobs as an ensemble average of Ki.

109 because the experimental observables are an ensemble average of many rapidly exchanging states.

110 roduced well for the historical period by an ensemble average of multiple general circulation models

111 layer at the surface of the protein, and an ensemble average of scattering from a variety of appropr

112 The ensemble average of single channel currents at Vj = 50 m

113 The ensemble average of the computed transport properties ov

114 ataset and proposed a metamethod based on an ensemble average of the individual methods, leading to a

115 udies, the x-ray techniques only provided an ensemble average of the structural information from all

116 d across the microtubule tip (kon,MT), is an ensemble average of the varying individual protofilament

117 amp experiments directly demonstrate that an ensemble average of ubiquitin unfolding events is well d

118 are manifested in single sweep cycles and in ensemble averages of such cycles and (b) to examine quan

119 Ensemble averages of the open probability (p(open)) of s

120 Although ensemble averages of the single-molecule data show agree

121 From such long-lasting recordings, we obtain ensemble averages of unfolding step sizes and rates that

122 ein dynamics minus ambiguities introduced by ensemble averages of unsynchronized protein movement or

123 Automated LIFDI facilitates ensemble averaging of hundreds of Fourier transform ion

124 Bayesian-based ensemble averaging of multiple models provides new sourc

125 ncreases the complexity of a system, whereas ensemble averaging of signals often suffers from backgro

126 he resolution of this approach is limited by ensemble averaging of structurally heterogeneous subpopu

127 e, however, remains poorly understood due to ensemble averaging of the current approaches.

128 The ensemble-averaging of current responses required for con

129 Ensemble-averaging of nonaxisymmetrical, deformed struct

130 ul since traditional techniques measure only ensemble average oligomer properties.

131 Ensemble-averaged optical properties of plasmonic polyme

132 n of the transporter that might be masked by ensemble averaging or suppressed under crystallographic

133 tained by electron microscopy, which involve ensemble averaging or very different sample preparation

134 rom sparsely labeled F-actin are compared to ensemble-averaged orientation data from similarly prepar

135 larger orientational fluctuations while the ensemble-averaged orientation is compatible with the ori

136 significantly greater than that predicted by ensemble averaging over many animals.

137 or nanocrystal quantum dots were obscured by ensemble averaging over their inherent inhomogeneities.

138 ors ranging from 4 to 248 cm(3)), which were ensemble-averaged over the same intensity scale.

139 urprisingly does not significantly alter the ensemble-average particle diffusion rate.

140 of all the fibers examined recapitulates the ensemble-averaged patterns obtained from population stud

141 Ensemble-averaged probability density functions and powe

142 rize with traditional structural methods and ensemble-averaged probes.

143 d to solve CAFBA efficiently and propose an "ensemble averaging" procedure to account for unknown pro

144 In particular, the ensemble average projects that a global warming of 2 deg

145 res not only the in-situ characterization of ensemble averaged properties but also probing the dynami

146 positional heterogeneities can severely skew ensemble-average proteoliposome measurements but also en

147 trates and products revealed a reaction with ensemble average rate constants of 170 and 470 s(-1) at

148 The ensemble averaged rate constants for this conformation c

149 e states because they typically only provide ensemble averages rather than information about individu

150 The ensemble-average ratio of the lengths of the long and sh

151 P waves recorded with carotid catheters were ensemble averaged relative to the R-peaks of the electro

152 ed by comparison of the NOEs calculated from ensemble-averaged relaxation matrices with the experimen

153 using J couplings through hydrogen bonds as ensemble-averaged restraints in molecular dynamics simul

154 However, previous studies have reported ensemble-averaged results that cannot distinguish the im

155 ogeneity of the individual trajectories, the ensemble averaging revealed an order to the unfolding pr

156 d patterns, observed in flame fronts and the ensembled average shape of the diffusion-limited aggrega

157 measuring platform, while noise reduction by ensemble averaging simultaneously lowers the background

158 By removing ensemble averaging, single-molecule methods provide uniq

159 or monitoring the allosteric response of the ensemble-averaged solution structure of Hb.

160 using the chemical mass balance method with ensemble-averaged source impact profiles.

161 ly difficult to be directly characterized by ensemble-averaged spectroscopic imaging or only by singl

162 e classical analogue of Rabi oscillations in ensemble-averaged spins of a ferromagnet.

163 e use of molecular dynamics simulations with ensemble-averaged structural restraints derived from nuc

164 ons in which Phi and Psi values were used as ensemble-averaged structural restraints to determine an

165 PRE data we are able to determine a <r(-6)> ensemble average structure of the minor apo species and

166 atoms for the crystal structures and in the ensemble average structures calculated from the simulati

167 Beyond the conventional ensemble-averaged studies, real-time single-molecule app

168 erase or exonuclease domain and, contrary to ensemble-averaged studies, we find that stable exonuclea

169 Adaptive ensemble average subtraction has been developed to remov

170 ion of states that are otherwise obscured by ensemble averaging, such as those resulting from heterog

171 The ensemble-averaged surface-enhanced REPs are measured for

172 to be intricate and beyond the resolution of ensemble-average techniques, such as circular dichroism,

173 l surface sites, information that is lost in ensemble-averaged techniques.

174 ng to study the dynamics of the replisome by ensemble-averaging techniques.

175 ults are rationalized by calculations of the ensemble averaged time constants.

176 Ensemble-averaged time-resolved fluorescence experiments

177 ingle-molecule photon-stamping technique and ensemble-averaged transient absorption spectroscopy prov

178 attered from GNRs within tissue culture, the ensemble-averaged translational self-diffusion rate, DT,

179 er of 10(14) to 10(15), much larger than the ensemble-averaged values derived from conventional measu

180 The calculations of the rate constants by ensemble-averaged variational transition state theory wi

181 to the effective transition state implied by ensemble-averaged variational transition state theory.

182 olvation model based on density (SMD) and an ensemble-averaged vertical excitation model explain the

183 The NN-ensemble average was a calcium calculator that accuratel

184 use subtle spectral features get obscured by ensemble averaging, we have studied individual chlorosom

185 nical unfolding trajectories, coincides with ensemble averages, which establishes ergodicity.

186 heir ability to overcome the clouding of the ensemble average with the "isolated microreactor" benefi

187 e resolved when Ca2+ was the charge carrier, ensemble averages yielded an inward current of up to 0.7