ライフサイエンスコーパス: ensemble average

1 h up to 100 times stronger contrast than the ensemble average.

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

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

4 ed when individual particle compositions are ensemble averaged.

5 on are often experimentally characterized by ensemble averages.

6 h time series of individual trajectories and ensemble averages.

7 inly inferred from indirect measurements and ensemble averages.

8 r kinetics that would otherwise be hidden in ensemble averages.

9 le forcing solution investigations to report ensemble averages.

10 generate detectable signals that are usually ensemble-averaged.

11 geneous ensemble are difficult to probe with ensemble averaging.

12 dentified in macroscopic measurements due to ensemble averaging.

13 ehavior of biological systems, unobscured by ensemble averaging.

14 s of individual DHODA molecules, eliminating ensemble averaging.

15 known to avoid the ambiguities introduced by ensemble averaging.

16 higher skill than forecasts based solely on ensemble averaging.

17 lecules to physical observables, unmasked by ensemble averaging.

18 liquids and biological systems unobscured by ensemble averaging.

19 with a high spatial resolution circumventing ensemble averaging.

20 cal environments without having to resort to ensemble averaging.

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

22 of individual wires is difficult because of ensemble averaging.

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

24 eal properties of the exciton states without ensemble averaging.

25 This work proposes layer ensemble averaging-a hardware-oriented fault tolerance s

26 The ensemble averages accounted for the experimental data mu

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

28 It was proved that ensemble averaging allows an increase in the S/N up to a

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

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

31 the high flexibility of oligosaccharides and ensemble-averaged analytical methods.

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

33 Single-molecule detection can push beyond ensemble averages and reveal the statistical distributio

34 onventional analytic techniques that measure ensemble averages and static disorder provide essential

35 Results provide ensemble averages and uncertainty estimates that can ser

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

37 ap implements automated signal segmentation, ensemble averaging and integrates optogenetic approaches

38 By combining in vitro ensemble-averaged and single-molecule assays, we demonst

39 rucial mechanisms that are averaged out with ensemble-average approaches.

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

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

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

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

44 ion of single molecule behaviors rather than ensemble averaged behaviors.

45 Using known target compounds, ensemble averaging benefits on quantitative analysis wer

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

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

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

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

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

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

52 Here we demonstrate that, using NP-SIMS, ensemble averaging can be avoided and molecular analysis

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

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

55 s, we show that committee machines employing ensemble averaging can successfully increase inference a

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

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

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

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

60 Ensemble-average coordinates from REMD served as a scori

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

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

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

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

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

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

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

68 cal insights have already been garnered from ensemble-averaged data, information about three-dimensio

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

70 e-chromatin fiber traces revealed that these ensemble-average differences arise through changes in th

71 godicity breaking, where the expected value (ensemble average) differs from the temporal average of o

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

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

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

75 Similar ensemble averages done at different forces showed that t

76 mic phase structures in correlation with the ensemble-average dynamic ordering/disordering phase stru

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

78 There is a substantial increase in the ensemble-averaged eastern Pacific SST anomaly variance d

79 om seemingly equal molecules by removing the ensemble averaging effect.

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

81 large uninventoried emission events, led to ensemble average emission rates of 1.8-3.6 kg/h per site

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

83 Unique (non-ensemble averaged) exchange kinetics are displayed by mi

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

85 While methods integrating ensemble-averaged experimental data with computational m

86 Ensemble-averaged experimental observables are predicted

87 ults or biasing simulation in order to match ensemble-averaged experimental observables, operations t

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

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

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

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

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

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

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

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

96 Ensemble averaging for each event category revealed that

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

98 This sub-single exciton ensemble-averaged gain threshold of (N(g))~ 0.84 (per pa

99 dividual molecular kinetics, rather than the ensemble average, gates downstream signaling.

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

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

102 QM/MM simulation with ensemble averaging has an important role to play in assi

103 Comparisons between IMU and OMC ensemble averages have low normalized root mean squared

104 nteracting domains along the diagonal in the ensemble averaged Hi-C contact map.

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

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

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

108 discovery of behaviors otherwise obscured by ensemble averaging in bulk measurements.

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

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

111 This has been posited to result from ensemble averaging in the context of dynamic heterogenei

112 folding pathway has remained unclear due to ensemble averaging in traditional bulk measurements.

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

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

115 o the static nature of atomic structures and ensemble averaging inherent to bulk biophysics approache

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

117 n low-resolution Hi-C heat maps representing ensemble average interaction frequencies from millions o

118 synonymous mRNAs in silico and calculate the ensemble-averaged interaction energy between the resulti

119 Ensemble-averaged intramolecular fluorescent resonance e

120 The ensemble averages involved in traditional bulk calorimet

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

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

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

124 mber of molecules (which inevitably leads to ensemble averaging) is crucial for elucidating the diffe

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

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

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

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

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

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

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

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

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

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

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

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

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

138 Such ensemble-averaged measurements mask molecular-level dyna

139 S), a technique that provides only indirect, ensemble-averaged measurements of diffusion behavior.

140 mic heterogeneity of SACs and limitations of ensemble-averaged measurements, the essential active sit

141 c reactions in living cells commonly rely on ensemble-averaged measurements, which can obscure the de

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

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

144 trinsic inhomogeneity is masked by the usual ensemble-averaged measurements.

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

146 their asynchronous dynamics are occluded in ensemble-averaged measures.

147 etic rates (0.01-0.1 via SECM) compared with ensemble-averaged method (0.001-0.01 cm/s) to point-like

148 astable nature of the tautomer and show that ensemble averaging methods obscure detail in the reactio

149 Conventional ensemble averaging methods used to probe sPLA2 activity

150 lecules which are hidden when measured using ensemble averaging methods.

151 iomolecules, termed glycoconjugates, rely on ensemble-averaged methods that do not provide a full vie

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

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

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

155 Ensemble average monolayer properties calculated from si

156 % highest values of MSD and viscosity to the ensemble-averaged MSD and viscosity.

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

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

159 tation of model membrane studies, especially ensemble-averaged observations relying on the assumption

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

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

162 ed by the use of techniques that measure the ensemble average of large cell populations.

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

164 Both models had different strengths, and the ensemble average of model predictions produced a higher

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

166 nsional (3D) genome structures represent the ensemble average of pairwise chromatin interactions but

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

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

169 The ensemble average of the computed transport properties ov

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

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

172 bient conditions is only the configurational ensemble average of the underlying orthorhombic domains.

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

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

175 of Single Molecules (SPASM), for generating ensemble averages of single-molecule data.

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

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

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

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

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

181 ls with high resolution detail, they rely on ensemble averaging of fibril structures in the entire sa

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

183 echanochemical coupling in motor proteins is ensemble averaging of individual trajectories.

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

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

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

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

188 The ensemble-averaging of current responses required for con

189 Ensemble-averaging of nonaxisymmetrical, deformed struct

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

191 Ensemble-averaged optical properties of plasmonic polyme

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

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

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

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

196 limited as current measurements only provide ensemble-averaged orientation values.

197 em, can be simplified and obtained by taking ensemble average over one single noise.

198 r of the demethylation reaction (which is an ensemble average over the entire sample) depends on the

199 For comparisons, time series are ensemble averaged over strides.

200 At these temperatures, ensemble averages over coexisting states give rise to st

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

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

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

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

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

206 Ensemble-averaged probability density functions and powe

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

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

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

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

211 nce-specific conformational preferences, the ensemble-averaged properties of unfolded states are cons

212 both the peptides have practically identical ensemble-averaged properties, characteristic of random c

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

214 Additional ensemble-averaged QM/MM calculations of the dark-adapted

215 edictions of each model and demonstrate that ensemble-averaged quantities such as the mean-squared di

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

217 The ensemble averaged rate constants for this conformation c

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

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

220 opy (cryo-EM), produce density maps that are ensemble averages, reflecting molecules in various confo

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

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

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

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

225 grasp by bulk biochemical assays that yield ensemble-averaged results.

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

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

228 We show that the ensemble-averaged shifts can be suppressed below the lev

229 Single configuration properties and ensemble averages show a robust agreement between theore

230 However, most experimental methods rely on ensemble-averaged signals that cannot resolve coexisting

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

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

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

234 echniques from molecular biology largely use ensemble averaging; some microscopy analyses have been r

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

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

237 olecular geometry is challenging to probe by ensemble-averaged spectroscopic techniques over multiple

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

239 is perfectly adapted to this task, providing ensemble averaged structural and dynamic parameters that

240 llows the resolution of long-range and local ensemble averaged structural contributions to the experi

241 scillatory characteristics shown by operando ensemble-average structural tracking of the catalyst dur

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

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

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

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

246 -scale phases and their correlation with the ensemble-averaged structures and activities of catalysts

247 Earlier experiments yielded static, ensemble-averaged structures of the complex, but details

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

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

250 Adaptive ensemble average subtraction has been developed to remov

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

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

253 in aggregates, previously inaccessible using ensemble averaging techniques.

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

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

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

257 ions, including globules, conformations with ensemble averages that are reminiscent of ideal chains,

258 he grey-box model pathways was fitted to the ensemble average tHb time series.

259 Because of ensemble averaging, the FRET signal generated by such an

260 ay ensembles into a single 381-member "super ensemble" averaged these uncertainties and substantially

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

262 Ensemble-averaged time-resolved fluorescence experiments

263 This study investigates ensemble averaging to mitigate these errors and improve

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

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

266 The ensemble averaged transmission probability shows a close

267 ation coefficient > 0.75) and high accuracy (ensemble average values of recovery coefficients ranged

268 This allows directly propagating in time the ensemble averaged values of the observables.

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

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

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

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

273 r-sky longwave radiation to space, giving an ensemble-averaged warming of 1.88 W/m(2).

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

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

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

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

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