ライフサイエンスコーパス: time lag

1 Myr, when they are broadly in phase (i.e. no time lag).

2 redictor on brain responses as a function of time(-lags).

3 f the device and environment that caused the time lag.

4 subdiffusion from tracking data at a single time lag.

5 tion, velocity, and acceleration at a single time lag.

6 nsistent with parallel updating at near-zero time lag.

7 across both structures, without a detectable time lag.

8 ease the drug payload after a pre-determined time lag.

9 r insights than previously reported discrete time lag.

10 e best criterion to obtain accurate detector time lag.

11 asm supported spontaneous nucleation after a time lag.

12 parate target stimuli presented at different time lags.

13 nkton peak timing control the variability in time lags.

14 more to the LFP estimation than the negative time lags.

15 and a slower positive upstroke for positive time lags.

16 common fronto-parietal network at different time lags.

17 t biases stemming from inconsistent tracking time lags.

18 ity of biotic change helps to understand the time lags.

19 ides and substantially decreased data source time lags.

20 RVF over the Horn of Africa, with important time lags.

21 ches to understand the mechanisms that drive time lags.

22 e technique of CCM by explicitly considering time lags.

23 es, obtained subtracting images at different time-lags.

24 There was a pronounced time lag (2 days) for the synergistic effects of DEX + F

25 The time lag acts as a spindle checkpoint.

26 This process begins with an apparent time lag after a rapid phase of interstitial cell apopto

27 ssociates with caveolin-3 with a significant time lag after the biosynthesis of PFK-M.

28 ecific demographics and infrastructure, with time-lag analyses and robustness checks to investigate t

29 lity to infer regulatory relationships using time lag analysis.

30 Time-lag analysis further revealed that open field corti

31 ed cyclic voltammetry to remove the response time lag and adding ascorbic acid to the calibration buf

32 s for major depressive disorder (MDD) have a time lag and are ineffective for a large number of patie

33 ile current antidepressants have significant time lag and efficacy limitations, new rapid-acting agen

34 The correlation between the time lag and ice retreat is significant in areas where i

35 racterized by a sharp downstroke at negative time lags and a slower positive upstroke for positive ti

36 d the PK/PD methodologies to incorporate (i) time lags and drug concentration profiles resulting from

37 The time lags and spatial trade-offs revealed by this case s

38 By exploiting the time lags and the one-dimensional heat transfer model of

39 rvation success and review the principles of time lags and their ecological drivers.

40 (238)U, respectively, using LRS calculation, time lag, and mass bias corrections.

41 assemblies with arbitrary constellations of time lags, and at multiple temporal scales, partly due t

42 hat odor events can be forecast at 0-26 week time lags, and that the models are able to capture a sig

43 h BMI-potent activity across a longer set of time lags, and the timescale of population activity patt

44 ies as a function of temperature observation time, lag, and calculation method.

45 ed effects of climate with direct, indirect, time-lagged, and nonlinear effects.

46 Substantial time lags ( approximately 5 Myr) between the origins of

47 ing inherent time information and high order time lag are promising strategies to improve the power a

48 y is highly uncertain, and that much shorter time lags are equally likely.

49 of N-fixing trees, but measurements of these time lags are lacking.

50 al diffusive behavior at very short and long time lags, as observed in several experiments.

51 le and 39 de novo patients, respectively, in time-lagged, ascending-dose regimens.

52 ong selection gradients, there may be little time lag associated with their ecological and evolutiona

53 y, although isolation of consistent residual time-lagged associations between certain pairs of primar

54 alizing disorders in survival analyses, with time-lagged associations consistently stronger within do

55 ation were used to estimate time-varying and time-lagged associations of e-cigarette use during waves

56 Several intriguing residual time-lagged associations remained significant, though, e

57 Most time-lagged associations were explained by a model that

58 Consistently significant positive time-lagged associations were found in survival analyses

59 warm edges (due to non-climate processes or time lags at the warm edge; the biogeography hypothesis

60 Time-lagged autocorrelations were stratified by Vibrio c

61 ime-lagged canonical correlation analysis or time-lagged autoencoder to autonomously identify a key o

62 However, there is a time lag before changes in gene expression, which sugges

63 There is a time lag before clinical response, and the washout of ef

64 plex is added to DNA, there is a significant time lag before the clamp is released onto DNA.

65 lecular pathology of forest trees for a long time lagged behind parallel studies on agricultural crop

66 concentrations in subjects with SAR, with a time lag between 0 and 13 days depending on the pollen t

67 sulting estimate provides information on the time lag between activation of transcription factors and

68 oduction of mutations, further increased the time lag between ATR release and TM6 movement.

69 The time lag between burial and subsequent loss at this stud

70 is has significantly younger 'diet age', the time lag between carbon fixation by photosynthesis and i

71 Geochemical tracers also suggest a time lag between changes in submarine groundwater discha

72 C maturation state, activation stimulus, and time lag between DC maturation and Ag loading impact HIV

73 h rates were not immediately affected to the time lag between decisions and actual births.

74 atic single-cell snapshots by exploiting the time lag between epigenetic and transcriptional cell sta

75 The time lag between function and structure was defined as t

76 negatively) to treatment, and shortening the time lag between identification and implementation of an

77 d several weeks previously, allowing for the time lag between infection and death.

78 The time lag between intrusion of fresh, hot magma and an en

79 We determined the time lag between loss of retinal ganglion cell function

80 Based on obesity trends, we established a time lag between obesity prevalence and NASH-related wai

81 bstance use disorders seek treatment but the time lag between onset and treatment seeking averages a

82 ers visiting drug treatment agencies for the time lag between onset of heroin use and first treatment

83 Thus, the time lag between PERG amplitude and RNFL thickness to lo

84 In three fibre types studied, there was a time lag between permeabilization and spark development.

85 in terrestrial carbon pools result from the time lag between photosynthetic uptake of CO2 by plants

86 Understanding the time lag between Pol II progression and splicing could p

87 ccelerometer-based sleep measurement and the time lag between psychiatric diagnoses and accelerometry

88 assessment of zoonotic disease targets; (2) time lag between restoration and recovery; (3) integrati

89 A time lag between surface temperature increase and cloud

90 ly CDI incidence were used to measure 1) the time lag between the annual pneumonia and influenza prev

91 alents during pachytene, and that there is a time lag between the appearance of chromosome-bound DNA

92 Because there is an important time lag between the emergence of new pandemic strain an

93 The time lag between the first proto-subduction (about 4 bil

94 positive but sensitive to assumptions about time lag between the increase in active travel and chang

95 ion of RhoGEFs is the cause of a significant time lag between the initial Ca(2+) transient and phasic

96 Furthermore, the probe illuminated the time lag between the initiation of oxidative stress and

97 ver, the molecular mechanisms that cause the time lag between the onset of stomatal closure and ABA a

98 ermine cocirculation of the diseases and the time lag between the peak seasons.

99 erial branches, parenchymal enhancement, the time lag between the pulmonary arterial and parenchymal

100 In summary, we observed a time lag between the resolution of systemic and airway i

101 maximum correlation reached when there is no time lag between the two.

102 target gene to estimate the transcriptional time lag between these two genes.

103 In contrast, the theta-scale (0-150 ms) time lags between cell pairs, representing distances on

104 eillance data, identifying key correlates of time lags between clinical cases occurring and being add

105 nfold over extended periods, expose critical time lags between environmental shifts and population re

106 ass peak (varying from April to May) and the time lags between ice algae and pelagic phytoplankton pe

107 It also provides time lags between intense storm events and higher SGD ra

108 Comparing changes in neural time lags between manual and observational tasks indicat

109 10 % smaller knee joint rotations, different time lags between peak joint rotations, and more variabl

110 balance is developed to demonstrate that the time lags between radiation forcing, air temperature, an

111 tivity is a gradual process with significant time lags between research and development (R&D) investm

112 ition for the winning parasitoid reveal that time lags between successive attacks influence the outco

113 We find that the reverberation time lags between the continuum-emitting corona and the

114 The time lags between the periodic feature of InSAR-observed

115 Finally, we identify time lags between transcription factor expression and bi

116 hat rising living standards appear to have a time-lagged bidirectional relationship with increasing i

117 weather variables (both contemporaneous and time lagged), body-condition index (BCI) and trapping ef

118 vity with AMP-PNP present and eliminated the time lag, but KCl had no stimulatory effect with ATP.

119 ent dynamics and the interaction with social time lags can be more relevant than solely stable states

120 upervised machine learning protocol based on time-lagged canonical correlation analysis or time-lagge

121 This time lag caused net ecosystem carbon sequestration in pr

122 to the center of the particle did not show a time-lag characteristic of slow-transport into the parti

123 standing of the pandemic landscape with less time lag, cheap cost, and more potential information ind

124 ion to subsequent seasons and causes sizable time-lagged climate effects.

125 me [Formula: see text] on the basis of their time-lagged co-occurrences in the technological and indu

126 Time lag comparisons confirmed that gamma oscillations h

127 The degree of time lag correlated with initial HIC (r = 0.47, P < .003

128 A time-lagged correlation analysis (0-13 weeks) revealed a

129 The data was analyzed using time-lagged correlation analysis, which identifies genet

130 each voxel and the whole-brain signal using time-lagged correlation and compared the results to mean

131 The tool assigns potential edges through time-lagged correlation, incorporates a clustering mecha

132 Significant time-lagged correspondence was evident between nifH tran

133 racking microrheology whereby the extent and time-lag dependence of the mean squared displacements of

134 , historically plagued by inefficiencies and time lags due to limited data utilization, now faces urg

135 gle-cell time-lapse microscopy, by revealing time lags due to regulation, can discriminate between ac

136 rbon sources, and it captures the associated time lag during the diauxie phenotype.

137 NSO events, which was caused by the combined time lag effects of ENSO events on precipitation and tem

138 n indicators to develop models; however, the time-lag effects are less considered, which tends to inc

139 Considering the time-lag effects is quite important for better predictin

140 bstantial heterogeneity among subgroups, and time-lag effects may also exist.

141 First, this study analyzed the time-lag effects of global vegetation responses to diffe

142 tudy, we aim to quantitatively determine the time-lag effects of global vegetation responses to diffe

143 The results showed that (i) both the time-lag effects of the vegetation responses and the maj

144 climate characteristics; (ii) regarding the time-lag effects, the climatic factors explained 64% var

145 ly with the diverse spatial patterns and the time-lag effects, which are the most important mechanism

146 , time trend (T), co-morbidity (CM), and the time-lag effects.

147 elatively higher than the model ignoring the time-lag effects; (iii) for the area with a significant

148 pipeline that discovers causal and possibly time-lagged effects from morphodynamic features and cell

149 istical model, we estimate the immediate and time-lagged effects of increased solar generation on red

150 assertions on causality through inference on time-lagged effects.

151 aplacian eigenmaps, evaluated after suitable time-lagged embedding, to produce a reduced representati

152 ever, accurately estimating and reducing the time-lagged emissions of ozone-depleting substances or t

153 deforestation had completely halted in 2010, time lags ensured there would still be a carbon emission

154 non-constant inputs, we find that there is a time lag equal to the calcium buffering time constant be

155 lowing for the reconciliation of measurement time-lag errors present in datasets was used to paramete

156 This method of time lag estimation increases the accuracy of predicting

157 sembly of the virus, the former exhibiting a time lag even if all forward rate constants are equal.

158 Daily time-lagged exposures were computed for 30-day lags.

159 In contrast, there was no time lag for adhesion in response to the formyl peptide

160 The time lag for the response was unaffected in the mutant;

161 in which the TF functions and identified the time lag for the TF to exert regulatory effects on its t

162 The time lag for transport of (125)I-IGF was 266 min, an ord

163 mitations, such as a low response rate and a time lag for treatment response that represent a signifi

164 rbance colonization with a recovery state or time-lag for disturbed ("focal") patches, thus assuming

165 in groundwater, possibly as a result of the time-lag for modern recharge to reach well screens, deni

166 supported by the occurrence of quantifiable time-lags, for all studied gases, during constant volume

167 MeHg retention may help explain the decadal time lag frequently observed for the decrease of piscivo

168 findings suggest that there is a substantial time lag from preprint posting to journal publication.

169 ne organisms; however, offshore sampling and time lag from sampling to results remain problematic.

170 Current evidence suggests that the time lag from the publication of randomised clinical tri

171 Predictive skill declines for time lags from 0 to 15 weeks, then increases again, to R

172 For each pollutant and time lag, gene-specific linear models adjusting for infe

173 e mean-squared displacement correlation with time lag had slopes with values of unity for simple HA s

174 By late 2021/early 2022, these time-lags had decreased to 7 days for hospitalisations a

175 The key feature of the model is that a time lag has been introduced in the activation of anapha

176 d under certain conditions, i.e., increasing time lag, high temperature and low pH.

177 ere independently associated with a 12-month time-lagged higher risk of ADM and infection-related mal

178 c layer on stream nitrate concentrations and time lags (i.e., time period between land application of

179 MS), and blood oxygen level-dependent (BOLD) time lag in a pre-clinical canine model of stroke via pe

180 We then investigate a time lag in a real biodiversity indicator using empirica

181 cillations herald dyskinesia onset without a time lag in either structure when using 2-min epochs.

182 ping current genetic diversity, suggesting a time lag in genetic responses.

183 iated with overdose mortality rates, but the time lag in results often limits utility.

184 tween CT detector rows and the corresponding time lag in the contrast enhancement curves and was corr

185 Among randomized efficacy trials, there is a time lag in the publication of negative findings that oc

186 res, with some records showing a significant time lag in the temperature response to declining pCO2.

187 ility that purple martins are experiencing a time lag in their distribution.

188 Accounting for ecological time lags in biodiversity targets and indicators will gr

189 le impact on plant dynamics and there are no time lags in density dependence.

190 Whereas there are time lags in ecological effects, socioeconomic effects a

191 he importance of bistability, hysteresis and time lags in governing cell cycle transitions and checkp

192 These results suggest that time lags in regulating SNF represent a significant cons

193 Changes so far are moderate, but time lags in responses may transiently maintain forest s

194 oing climate change requires quantifying the time lags in the demographic and ecological processes th

195 under dynamic conditions benefit from short time lags in the elution of the weakly-adsorbed componen

196 a temporal asymmetry such that the positive time lags in the filter contributed more to the LFP esti

197 Theory has shown that time lags in the regulation of symbiotic nitrogen (N) fi

198 nalysis of interacting social and ecological time lags in the transient phase of a shallow lake highl

199 by temperature and precipitation, as well as time lags in these variables.

200 ors of the cell cycle engine (hysteresis and time lags), includes new elements in the signaling netwo

201 d cause-specific mortality rates weakened as time lags increased, but to a greater extent for causes

202 Our model, based on time-lagged independent component analysis (tICA) and pr

203 n methods like principal component analysis, time-lagged independent component analysis, and self-org

204 The time lag indicates a difference in the spatial distribut

205 Importantly, we accounted for the time lags inherent in both the release of carbon and the

206 e here show for the first time a synergistic time-lag interaction between mites and neonicotinoids th

207 The analysis of incrementally time-lagged interactions between auditory and premotor a

208 The magnitude of this time lag is critical information for Chesapeake Bay wate

209 The reason for this time lag is unknown but fundamental to understanding the

210 een monthly SST anomalies with a three-month time-lag is 0.35, with statistically significant correla

211 appears in the differential frames, when the time-lag is set to the one corresponding to the maximum

212 xpressivity and social perception-influences time-lagged "linkage" of autonomic nervous system respon

213 Changes in time-lagged ln AFB1 (unadjusted and adjusted for changes

214 ration limitation, source-sink dynamics, and time-lagged local extinction can cause mismatches betwee

215 linear regression model that incorporates a time-lagging mode.

216 oidization 95 million years ago, fit such a 'time-lag' model of post-WGD radiation, which occurred al

217 In time-lagged models, nestling weight was higher in the tr

218 ome is likely to be even more pronounced and time lags more persistent for less vagile taxa, particul

219 We use a coupling measure based on time-lagged mutual information to identify effective con

220 ic property of the behavioral CRs at a fixed time lag, nor does it linearly encode CR amplitude.

221 eptide hydrolysis, but only after an initial time lag not seen with ATP.

222 Using time-lagged observations, being wasted was predictive of

223 Similar time lags occurred for predicted shifts in reproductive

224 ts at different spatial locations within the time lag of 1-3 months.

225 A Mg2+-dependent time lag of 10 ms is observed between primer-template bi

226 ulmars and with rainfall for murres, after a time lag of 4-9 yr between weather/climate conditions an

227 the accreting star GM Aurigae, which have a time lag of about one day between their peaks.

228 age to reorient the root, we observed a mean time lag of approximately 10 min.

229 isensory gain in behavioral performance at a time lag of approximately 250 ms.

230 This study was designed to investigate the time lag of effect of NS398, selective COX-2 inhibitor,

231 nant of sensor accuracy is the physiological time lag of glucose transport from the vascular to the i

232 In conclusion, there is a time lag of interstitial glucose behind blood glucose, r

233 A time lag of less than 1 s was observed between maximum h

234 The model decreased the time lag of reporting weekly firearm homicides from 7 to

235 ngus that is more persistent, but there is a time lag of several days before it causes insect mortali

236 sequence) and limitations of the instrument (time lag of the force-feedback mechanism and finite band

237 atheter dead space and assay noise, the mean time lag of tracer appearance in the interstitial space

238 display significant limitations, including a time lag of weeks to months and low rates of therapeutic

239 een a suite of weather/climate variables for time lags of 0 to 10 yr and organochlorine pollutant con

240 -0.58, respectively, with the corresponding time lags of about 7 days, 1 day, and 8 days, respective

241 rchaeological, and historical data show that time lags of decades to centuries occurred between the o

242 During 2020, we estimated a time-lag of 19 days between hospitalisation and swab pos

243 e humidity on dengue mortality in Pune, at a time-lag of 2-5 months, providing sufficient lead time f

244 imary and associative visual cortex, where a time lag on the order of 10-20 ms is consistently found.

245 r perspective on the influence of ecological time lags on the assessment of conservation success and

246 he importance of long-distance dispersal and time-lags on population establishment and spatial spread

247 The influence of Markovian orders, i.e. the time lags, on the computation of the transfer entropy (T

248 this can be naturally described in terms of time lags or within-generation functional responses.

249 r inflow forecasts obtained with the 1-month time-lag pattern featuring the best forecasting accuracy

250 inflows forecasts obtained with the 2-month time-lag pattern, and the Gotvand reservoir inflow forec

251 he forecasting method applies 1- and 2-month time-lag patterns with several Machine Learning (ML) alg

252 own weaker forms of synchronisation (almost, time-lag, phase synchronisation, and generalised synchro

253 rent groups of cyanobacterial ASVs including time-lagged predator-prey relationships.

254 The observed reaction kinetics exhibited a time lag prior to the rapid hydrolysis.

255 ted for when interpreting genetic data, this time lag problem can lead to erroneous conservation asse

256 nal, we identified six groups of genes whose time-lagged profiles possessed significant correlation,

257 a seed, and searching for other genes whose time-lagged profiles possessed significant correlation,

258 of species' interactions may appear after a time lag rather than instantaneously.

259 sponse to land cover change often occur with time lags rather than instantaneously, leading to extinc

260 lgorithm to address the problem of inferring time-lagged regulatory relationships from multiple time

261 There was also a positive time-lagged relationship between diversity and weight in

262 However, we detected a time-lagged relationship where weight at D15 was negativ

263 We hypothesised that differences in the time-lagged relationships of rainfall or temperature wit

264 ons of functional connectivity structure and time-lag representations of traveling wave or propagatio

265 with thresholds, reciprocal feedback loops, time lags, resilience, heterogeneity, and surprises.

266 The overall approach identifies evidence of time-lagged response which may be indicative of mechanis

267 resilience mechanisms in quantitative terms-time lags, response speeds, and maximum magnitudes-and i

268 hermal denudation, with staggered block fall timing, lag responses post-storm, and non-storm block co

269 tive facial gestures and close inspection of time lags revealed activity that either preceded (produc

270 oded information right after study and after time-lagged selective retrieval.

271 Models with a fortnight time-lag show a high predictive capacity (R(2) = 0.71 fo

272 Using fluorescent time-lag staining, we were able to infer source and fina

273 l cues or images, drug use outcome, same-day time lag, studies using ecological momentary assessment,

274 we observe vesicle permeabilization after a time lag that is characterized in relation with the leve

275 nds on their costs and also on the different time lags that are inherent to both protection and resto

276 vioral change by lake polluters to study the time lags that emerge as a response to the transient, de

277 To address this time lag, the isotope dilution mass spectrometry (IDMS)

278 establish what events take place during this time lag, the timing of clamp release was compared to th

279 Independent analyses-based on time lags, the correlational structure in the data and c

280 plied Cox regression, and examined different time lags, the shape of the concentration-response relat

281 tant traits, including growth rate, doubling time, lag time, maximum density and carrying capacity, d

282 ls, we constrained the intrusion-to-eruption time lag to between 3 and 10 weeks.

283 ions, the average transmission rate, and the time lag to the appearance of symptomatic individuals.

284 nterpretive and methodological framework for time lags to stimulate further research and discussion o

285 motivated research gaps (propagule pressure, time-lags to extinction, abundance shifts, and loss of a

286 mental systems with continuously distributed time lags, to describe the unexpected kinetics of proges

287 re than 10-week study and, when adjusted for time lags, tracked the rise and fall of cases seen in SA

288 dynamics were encoded as edge weights using time lagged transfer entropy, a method for quantifying i

289 Furthermore, BOLD time-lag unity plots indicated that NEH and Sanguinate m

290 ns, appears to be predominantly Brownian for time lags up to 2.5 s when imaged at 10 Hz.

291 The correlation of BOLD time-lag variations with neuroimaging functional biomark

292 Moreover, the time lag was corroborated using a one-dimensional heat-t

293 An approximately 8-month time lag was detected between tropical wetland CH4 emiss

294 An offset biphasic wave with a positive time lag was present in the unrectified average for 10 i

295 araday to Faraday and Faraday to ion counter time lags were determined and corrected using VBA data p

296 le to increase glucose uptake with a shorter time lag when inactive GLUT4 was first translocated to t

297 ex neurons was strong and extended over long time lags, whereas coupling among auditory cortex neuron

298 climate warming with a severe, century-long time lag, which is overcompensated by infilling of stand

299 ience, with a 160-millisecond state-to-state time lag, which was linked to efficient learning of acti

300 re simply lagging behind due to the inherent time lag with drug discovery, but it is also possible th

301 dynamics of these systems, determine optimal time lags with which to observe associations between var