ライフサイエンスコーパス: autocorrelation

1 rends in monthly temperature variability and autocorrelation.

2 analyses, controlling for age, rainfall, and autocorrelation.

3 overlap among breeding locations and spatial autocorrelation.

4 data, this effect is referred to as spatial autocorrelation.

5 network to account for spatial and temporal autocorrelation.

6 gh differences in watershed size nor spatial autocorrelation.

7 esent), as indicated by a robust increase in autocorrelation.

8 lly explicit models that account for spatial autocorrelation.

9 l-defined hexagonal structure in the spatial autocorrelation.

10 , with random effects to account for spatial autocorrelation.

11 f zero doses, periodicity, and within-person autocorrelation.

12 formulations and to a range of environmental autocorrelation.

13 stic regression model accounting for spatial autocorrelation.

14 e) MT neurons that can be explained by image autocorrelation.

15 ical signatures, such as spatial variance or autocorrelation.

16 ctuates in a stationary distribution with no autocorrelation.

17 e important components: trend, variance, and autocorrelation.

18 ed the kinetic rates from the histograms and autocorrelations.

19 mainly driven by fine-scale positive spatial autocorrelations.

20 computed from the brainstem responses using autocorrelation algorithms.

21 al variation in population dynamics, such as autocorrelation among data points, excess zeros, and obs

22 ies, or changes of log lambdas to changes in autocorrelation among two major axes of life-history str

23 A detailed derivation of the autocorrelation amplitude expected under conditions freq

24 The concentration dependence of autocorrelation amplitudes obtained from orientationally

25 Autocorrelation amplitudes obtained under such circumsta

26 Spatial autocorrelation analyses indicated that rapid range expa

27 Spatial autocorrelation analyses of kinship coefficients were us

28 Similar autocorrelation analyses performed on an electrooculogra

29 n ratio, frequency distribution, and Moran's autocorrelation analyses reveal that DCV distribution al

30 We employed maximum likelihood fitting, autocorrelation analysis and macroscopic current simulat

31 Autocorrelation analysis demonstrated a faster rate of d

32 Spatial autocorrelation analysis indicated some evidence of fine

33 Using equilibrium analysis and autocorrelation analysis of the time traces, the full en

34 Autocorrelation analysis of the trajectory reveals the s

35 Autocorrelation analysis reveals periodicities of 12 for

36 The results of global and local spatial autocorrelation analysis showed that the HFRS epidemic e

37 Autocorrelation analysis showed that the high frequency

38 This observation was confirmed by an autocorrelation analysis that identified two species wit

39 Autocorrelation analysis yielded diffusion coefficients

40 observations using single particle tracking, autocorrelation analysis, and kymographs.

41 dy, seasonal decomposition analysis, spatial autocorrelation analysis, and space-time scan statistic

42 Alternative methods (Poisson regression, autocorrelation analysis, and surrogate data tests) were

43 nd the density recovery profile derived from autocorrelation analysis, revealing the presence of an e

44 ng a combination of scanning techniques with autocorrelation analysis, we show that Pil1 and Lsp1 cyt

45 low rate before and after intervention using autocorrelation analysis.

46 creases in vegetation carbon have increasing autocorrelation and 74% increasing variance beforehand,

47 ized linear mixed model (GLMM) with temporal autocorrelation and a large dataset.

48 cept P. sylvestris, while trends in temporal autocorrelation and among-stand synchrony reflect specie

49 The local Moran's I test for spatial autocorrelation and correlograms assessing space-time sy

50 On the basis of the autocorrelation and cross-correlation analysis of the si

51 e analysis method that calculates space-time autocorrelation and cross-correlation functions from flu

52 The autocorrelation and cross-correlation measurements revea

53 on species richness, host identity, spatial autocorrelation and disease prevalence.

54 the resulting ASJs is analyzed by sequential autocorrelation and Fourier transform of the current-tim

55 ted for each response using temporally based autocorrelation and harmonic pitch sieve analyses.

56 In the final models, which corrected for autocorrelation and heteroskedasticity, achieving the ST

57 These two, along with the autocorrelation and index of dispersion, are promising c

58 The method can take the autocorrelation and irregular sampling that is character

59 Whereas time-series techniques adjust for autocorrelation and periodicity in outcome measurements,

60 ance can occur alongside increasing temporal autocorrelation and should occur over a broad range of w

61 alyses provide compact summaries of temporal autocorrelation and show both strong diurnal and seasona

62 ow how rising variance coupled to decreasing autocorrelation and skewness started 10-30 years before

63 sal limitation was suggested by both spatial autocorrelation and the detection of population structur

64 vation experiment by evaluating the decay in autocorrelation and the scaling exponent of the detrende

65 potential for early warning signals (rising autocorrelation and variance beforehand).

66 creases in vegetation carbon show increasing autocorrelation and variance beforehand.

67 of nine regional datasets exhibit increasing autocorrelation and variance leading up to collapse, sug

68 significance of signals of increasing lag-1 autocorrelation and variance vary with latitude.

69 All cells showed reduced rhythmicity in autocorrelations and cross-correlations.

70 st standard errors to accommodate for serial autocorrelation, and adjusted for any potential effect o

71 adjustment for excess zeroes, linear trend, autocorrelation, and clinical covariates, both frequenti

72 ral axis and dominated by measures of signal autocorrelation, and the other spanning a unimodal-trans

73 tentials, later peaks in fast-spiking neuron autocorrelations, and delays in the spiking of inhibitor

74 ditional mutual information approach and our autocorrelation approach for a range of model systems.

75 Two novel indicators - the autocorrelation (AR1) and the variance - are found parti

76 n rhythm, and hence the means, variances and autocorrelations are all time varying.

77 Conventional optical methods, based on autocorrelation, are very difficult to realize due to th

78 -SNE and UMAP and propose the use of spatial autocorrelation as a means of comparing the resulting lo

79 e observed a negative dip in the directional autocorrelation at intermediate times, a feature that is

80 motion ensues-showing a sharp rise in motion autocorrelation at lag-1 and a sharp rise in the autocor

81 sets, accounting for effects due to spatial autocorrelation becomes even more indispensable.

82 families that eDNA samples overcome spatial autocorrelation biases associated with the classical com

83 ife histories are less sensitive to temporal autocorrelation, but their sensitivities increase among

84 ied using holography with extended reference autocorrelation by linear differential operator (HERALDO

85 In many cases, this spatial autocorrelation can be accounted for by using covariates

86 e, the slope of the return map and the lag-1 autocorrelation coefficient are equal.

87 results suggest that the slope and the lag-1 autocorrelation coefficient represent quantitative measu

88 eau-Broto autocorrelation coefficient, Moran autocorrelation coefficient, Geary autocorrelation coeff

89 -tuple nucleotide compositions, Moreau-Broto autocorrelation coefficient, Moran autocorrelation coeff

90 nt, Moran autocorrelation coefficient, Geary autocorrelation coefficient, Type I PseKNC and Type II P

91 evaluated the performance of seven EWS: the autocorrelation, coefficient of variation, index of disp

92 Here, we show that shifts in the temporal autocorrelation (colour) of environmental noise provoke

93 d species distributions with reduced spatial autocorrelation compared to commonly used interpolated c

94 observed trends in temperature variance and autocorrelation, consistent with the models poorly captu

95 time series (e.g., increased variability and autocorrelation) could potentially serve as early warnin

96 missive state to be observed as a dip in the autocorrelation curve with only a single detector as the

97 new approach, we demonstrate that synthetic autocorrelation curves correspond well with experimental

98 Autocorrelation curves with a temporal resolution of 14

99 ponents were quantified by global fitting of autocorrelation data from multiple cells.

100 taking because the analysis of the resulting autocorrelation data is model dependant.

101 rom single-molecule image and time transient autocorrelation data, in situations where the molecules

102 fluorescence correlation spectroscopy (FCS) autocorrelation data.

103 minimize their contribution to the measured autocorrelation decay and to vary the acquisition area t

104 correlation at lag-1 and a sharp rise in the autocorrelation decay time.

105 w timescales (i.e., exhibits slower temporal autocorrelation decay).

106 ency variability is more pronounced, whereas autocorrelations decay more slowly.

107 me decays in the water-ligand (random) force autocorrelation demonstrate violation of the Markovian a

108 Using a novel algorithm combining spatial autocorrelation detection and principal component analys

109 We show that, by accounting for spatial autocorrelation, discovery rates (i.e., the ratio betwee

110 negative matrix factorization (NMF), maximum autocorrelation factor (MAF), and probabilistic latent s

111 ns of kmers; the second group calculates six autocorrelation features describing the level of correla

112 Autocorrelation force spectroscopy pushes the time resol

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

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

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

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

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

118 The nonexponential autocorrelation function and the power-law distribution

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

120 s correcting for the significant bias of the autocorrelation function at small (<<50 x 50 pixels) siz

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

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

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

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

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

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

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

128 Further the autocorrelation function obtained from the one dimension

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

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

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

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

133 o find the modification of the orientational autocorrelation function of H(2)O molecules especially u

134 Similarly, the autocorrelation function of the fluorescence fluctuation

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

136 We demonstrate that feedback from the autocorrelation function of the order parameter fluctuat

137 ing a strongly repressed off-state, distinct autocorrelation function peaks, and an average peak-to-p

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

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

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

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

142 s of the scattering particles via a temporal autocorrelation function, but the quality of various ele

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

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

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

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

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

148 and the manifestation of oscillations in the autocorrelation function.

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

150 e gene expression noise by investigating its autocorrelation function.

151 ing intensity and the apparent size from the autocorrelation function.

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

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

154 the mean-squared displacements and velocity autocorrelation functions are equally well-fit by either

155 Time autocorrelation functions are found to decay exponential

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

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

158 risons among MSD curves and between velocity autocorrelation functions from experiments and simulatio

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

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

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

162 Starting from the autocorrelation functions of the equilibrium bead fluctu

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

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

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

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

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

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

169 Autocorrelation functions were fit using both a multiple

170 The autocorrelation functions were separated based on their

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

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

173 d fluctuation analysis and dynamical partial autocorrelation functions, which are able to detect real

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

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

176 ccording to analyses techniques like spatial autocorrelation, grid scores, and modifiable areal unit

177 h autoregressive error models, incorporating autocorrelation, immediate effect, and time before and a

178 show that bacteria have significant spatial autocorrelation in community composition up to a distanc

179 Temporal autocorrelation in demographic processes is an important

180 s exhibit highest sensitivities to simulated autocorrelation in demographic rates across reproductive

181 relationship at larger scales; (4) temporal autocorrelation in environmental variability affects spe

182 itat heterogeneity, increasing local spatial autocorrelation in habitat generally has a beneficial ef

183 We show that inherent autocorrelation in natural images means that speed and d

184 ias subsequent valuation because of temporal autocorrelation in neural activity.

185 istically significant, we observed a maximum autocorrelation in serial HPV prevalence lagging 14 days

186 precursors are leading to declining spatial autocorrelation in the aerosol fields and increased impo

187 Furthermore, the lack of any significant autocorrelation in the data is inconsistent with macroev

188 ntiguous blocks of sites, increasing spatial autocorrelation in the disturbances has a harmful effect

189 theory predicts that high levels of temporal autocorrelation in the environment - relatedness between

190 Accounting for temporal autocorrelation in the GAMs further improved the predict

191 Methods that do not account for autocorrelation in the movement variables lead to spurio

192 Spatial autocorrelation in the residuals of spatial environmenta

193 near noise term allows for varying levels of autocorrelation in the time course of the decision varia

194 In this study, we investigated spatial autocorrelation in three different matrix-assisted laser

195 ates (log lambdas ) under different temporal autocorrelations in demographic rates, using simulated a

196 t members of their species, creating spatial autocorrelations in genetic data.

197 nd feedback (power spectrum scale invariance/autocorrelation), in combination with structural (diffus

198 iability terms, coefficient of variation and autocorrelation, in commonly used respiratory variables

199 d that both the coefficient of variation and autocorrelation increased before population collapse in

200 how that monthly temperature variability and autocorrelation increased over 1957-2002 across large pa

201 based on a decomposition of Moran's spatial autocorrelation index; and second, develop a Gaussian Fi

202 Spatial autocorrelations indicated a significant spatial populat

203 time, and (3) averaging times over which an autocorrelation is carried out, as a function of expecte

204 -validation scheme, as the effect of spatial autocorrelation is minimized, while the cross-validation

205 The minimization of global spatial autocorrelation is used to choose the optimal spatial sc

206 This autocorrelation is weaker during the wet season, indicat

207 o simplify the overall interpretation of the autocorrelation matrix.

208 predicted movement properties (i.e. spatial autocorrelation, mean, and variance of RT and TtoR) infl

209 when we clustered extracellular spike-train autocorrelations measured in real 2D arenas (Latuske et

210 Using geospatial autocorrelation methods, we defined county-level sepsis

211 ogy in analyses that utilize a two-component autocorrelation model.

212 We found that autocorrelation modeling in AFNI, although imperfect, pe

213 gh imperfect, performed much better than the autocorrelation modeling of FSL and SPM.

214 studies could be improved with more accurate autocorrelation modeling.

215 : AFNI, FSL and SPM, with regard to temporal autocorrelation modeling.

216 l dependence appears to exploit the temporal autocorrelation normally present in visual scenes to pro

217 The strong autocorrelation observed between methyl of W and Ti in (

218 Thus the spatial autocorrelation observed is probably not just a statisti

219 n the dipoles, dihedral angles, and distance autocorrelations obtained from molecular dynamics simula

220 This suggests that temporal autocorrelation of a feature paradoxically increases the

221 Using simulations, we show that the autocorrelation of an individual's location over time me

222 The CV, slope, cross-correlation, and autocorrelation of daily FeNO increased before moderate

223 cross-taxonomic evidence that changes in the autocorrelation of environmental variation may affect a

224 Cross-correlation of FeNO with symptoms and autocorrelation of FeNO were assessed in relation to exa

225 of the model is also explored when the local autocorrelation of habitat heterogeneity and disturbance

226 cle phase transitions using a template-based autocorrelation of imaged far-field elastically scattere

227 g resilience indicators such as variance and autocorrelation of key ecosystem variables.

228 Spatial autocorrelation of model residuals indicated that models

229 we assessed the reproducibility and spatial autocorrelation of nano- and micronscale protein, Fe(II)

230 By measuring shifts in the autocorrelation of noise inherent to gene expression, we

231 tween states is thought to limit the spatial autocorrelation of O. nubilalis.

232 A strong spatial autocorrelation of outdoor PM(2.5) values (Moran's I = 0

233 The autocorrelation of photon-to-photon pair times as well a

234 Spatial autocorrelation of rates is the propensity of residues t

235 In landscapes with high spatial autocorrelation of RT and TtoR, a high variation in both

236 edation never selected for negative temporal autocorrelation of seed production.

237 en individual surplus and trading order, and autocorrelation of successive price changes, which test

238 In contrast, the short-term autocorrelation of the Hilbert envelope shows peaks at i

239 tion, including coefficient of variation and autocorrelation of the respiratory rate.

240 Here we demonstrate that the autocorrelation of the sensor output alone is sufficient

241 t adaptive stochastic resonance based on the autocorrelation of the sensor output may be a fundamenta

242 ressed in terms of the temporal variance and autocorrelation of this optimum.

243 dependent frequency evolution (the frequency autocorrelation) of a single OH oscillator, embedded in

244 r example, monitoring changes in variance or autocorrelation offers a computationally inexpensive met

245 tational pipeline, SPACE (stomata patterning autocorrelation on epidermis), that describes probabilis

246 s which are otherwise obscured by the strong autocorrelation or whose intensity is biased due to part

247 datasets to look for trends in variance and autocorrelation (persistence).

248 development levels, and in different spatial-autocorrelation positions.

249 he original image is directly related to the autocorrelation present within the data set.

250 ied harmonic deconvolution techniques to the autocorrelation profiles of the ChIP-seq signals.

251 cients and buffer reaction rates to tune the autocorrelation properties of Ca(2+) noise and found a d

252 evidence for short-distance genetic spatial autocorrelation provided evidence of diffusive dispersal

253 between communities at distances beyond the autocorrelation range (~133 m).

254 significant spatial structuring with spatial autocorrelation ranges of 54-133 m, but beyond that dist

255 Specifically, increasingly positive autocorrelation (reddening) of environmental noise incre

256 del, as evidenced by the lack of significant autocorrelation, residuals that are closer to being norm

257 eye movements, showed no significant spatial autocorrelations, ruling out eye movements as the source

258 the validation methods, which ignore spatial autocorrelation (SAC) in data, leading to overoptimistic

259 Autocorrelation scanning profile can be used to check da

260 We developed a simple tool, called autocorrelation scanning profile, to assess the dependen

261 c radio-frequency technique and second-order autocorrelation shed light on the pulse dynamics and con

262 This spatial displacement theta autocorrelation (STAcc) was quantified and found to be s

263 al stomatal distributions based upon spatial autocorrelation statistics used in astrophysics.

264 Social and spatial autocorrelation statistics were calculated to assess clu

265 he neural decoding properties, including its autocorrelation structure are consistent with a set of d

266 Interestingly, the autocorrelation structure of the elapsed-time representa

267 on, indexed by examining neuronal spike rate autocorrelation structure whilst at rest.

268 We also show how certain autocorrelation structures can emerge due to interspecif

269 g the Poisson regression model) and residual autocorrelation (suggesting the need to use Bayesian mod

270 embrane binding of ANX results in changes of autocorrelation time and amplitude, both of which are us

271 se and found a distinct relation between the autocorrelation time tauac, the mean channel open and cl

272 lifetime of the ensemble--that is, its spin autocorrelation time--by monitoring the statistical fluc

273 Short Ca(2+) noise autocorrelation times decrease the probability of Ca(2+)

274 splacements of bacteria with relatively long autocorrelation times up to several seconds, in absence

275 e observed an increased PO for shorter noise autocorrelation times, caused by increasing channel open

276 ow that decreasing export rates enhance mRNA autocorrelation times, which function to increase hetero

277 The digitized images were analyzed using autocorrelation to find common spacings and to establish

278 tested the SIRs for global and local spatial autocorrelation to identify disease hotspots at the loca

279 e developed a mathematical approach based on autocorrelation to relate genomic nucleosome organizatio

280 fer values to a sum of two Gaussians and the autocorrelations to an exponential and power law.

281 RET values to a sum of two Gaussians and the autocorrelations to an exponential and power law.

282 cheme, combined with normalized Moreau-Broto Autocorrelation, to extract features from protein sequen

283 n in gene promoters can be well described by autocorrelation transformation.

284 Positive spatial autocorrelation (two-sided p = 0.001) revealed the simil

285 trols provides a test of association free of autocorrelation; two hypotheses give similar estimates,

286 normal state is related to elevated temporal autocorrelation, variance, and correlation between emoti

287 arly warning signals we observe are rises in autocorrelation, variance, and skewness within millimete

288 very quickly from damage; herbivore spatial autocorrelation was always weak.

289 Significant spatial autocorrelation was detected in all three data sets and

290 A substantial amount of autocorrelation was noted, suggestive that GFT is not fu

291 tween pond study sites) and negative spatial autocorrelation was observed at 100-150 km and was stron

292 Significant spatial autocorrelation was observed for site amino acid replace

293 Positive spatial autocorrelation was recorded for urban and nonurban pond

294 Autocorrelation was used to estimate ECG atrial CL (p <

295 ing measures of genetic distance and spatial autocorrelation, we compared metrics between sexes, betw

296 phylogenetic history to correct for spatial autocorrelation, we illustrate how a fundamental spatial

297 Short-term and seasonal autocorrelation were key to improving short-term and lon

298 ncreases in land temperature variability and autocorrelation, which in turn contributed to persistent

299 iation between survey locations and temporal autocorrelation within locations.

300 , but this similarity was not confirmed when autocorrelation within that time series was analyzed by