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1 f the device and environment that caused the time lag.
2  subdiffusion from tracking data at a single time lag.
3 tion, velocity, and acceleration at a single time lag.
4 e best criterion to obtain accurate detector time lag.
5 asm supported spontaneous nucleation after a time lag.
6 more to the LFP estimation than the negative time lags.
7  and a slower positive upstroke for positive time lags.
8 e technique of CCM by explicitly considering time lags.
9 nkton peak timing control the variability in time lags.
10 es, obtained subtracting images at different time-lags.
11                       There was a pronounced time lag (2 days) for the synergistic effects of DEX + F
12                                          The time lag acts as a spindle checkpoint.
13         This process begins with an apparent time lag after a rapid phase of interstitial cell apopto
14 ssociates with caveolin-3 with a significant time lag after the biosynthesis of PFK-M.
15 ecific demographics and infrastructure, with time-lag analyses and robustness checks to investigate t
16 lity to infer regulatory relationships using time lag analysis.
17                                              Time-lag analysis further revealed that open field corti
18 ed cyclic voltammetry to remove the response time lag and adding ascorbic acid to the calibration buf
19 s for major depressive disorder (MDD) have a time lag and are ineffective for a large number of patie
20                  The correlation between the time lag and ice retreat is significant in areas where i
21 racterized by a sharp downstroke at negative time lags and a slower positive upstroke for positive ti
22 d the PK/PD methodologies to incorporate (i) time lags and drug concentration profiles resulting from
23                            By exploiting the time lags and the one-dimensional heat transfer model of
24 (238)U, respectively, using LRS calculation, time lag, and mass bias corrections.
25  assemblies with arbitrary constellations of time lags, and at multiple temporal scales, partly due t
26 hat odor events can be forecast at 0-26 week time lags, and that the models are able to capture a sig
27 ies as a function of temperature observation time, lag, and calculation method.
28 ed effects of climate with direct, indirect, time-lagged, and nonlinear effects.
29                                  Substantial time lags ( approximately 5 Myr) between the origins of
30 al diffusive behavior at very short and long time lags, as observed in several experiments.
31 le and 39 de novo patients, respectively, in time-lagged, ascending-dose regimens.
32 ong selection gradients, there may be little time lag associated with their ecological and evolutiona
33 y, although isolation of consistent residual time-lagged associations between certain pairs of primar
34 alizing disorders in survival analyses, with time-lagged associations consistently stronger within do
35                  Several intriguing residual time-lagged associations remained significant, though, e
36                                         Most time-lagged associations were explained by a model that
37            Consistently significant positive time-lagged associations were found in survival analyses
38                                              Time-lagged autocorrelations were stratified by Vibrio c
39                          However, there is a time lag before changes in gene expression, which sugges
40                                   There is a time lag before clinical response, and the washout of ef
41 plex is added to DNA, there is a significant time lag before the clamp is released onto DNA.
42 lecular pathology of forest trees for a long time lagged behind parallel studies on agricultural crop
43 sulting estimate provides information on the time lag between activation of transcription factors and
44 oduction of mutations, further increased the time lag between ATR release and TM6 movement.
45                                          The time lag between burial and subsequent loss at this stud
46 is has significantly younger 'diet age', the time lag between carbon fixation by photosynthesis and i
47           Geochemical tracers also suggest a time lag between changes in submarine groundwater discha
48 C maturation state, activation stimulus, and time lag between DC maturation and Ag loading impact HIV
49                                          The time lag between function and structure was defined as t
50                                          The time lag between intrusion of fresh, hot magma and an en
51                            We determined the time lag between loss of retinal ganglion cell function
52    Based on obesity trends, we established a time lag between obesity prevalence and NASH-related wai
53 bstance use disorders seek treatment but the time lag between onset and treatment seeking averages a
54 ers visiting drug treatment agencies for the time lag between onset of heroin use and first treatment
55                                    Thus, the time lag between PERG amplitude and RNFL thickness to lo
56    In three fibre types studied, there was a time lag between permeabilization and spark development.
57  in terrestrial carbon pools result from the time lag between photosynthetic uptake of CO2 by plants
58                            Understanding the time lag between Pol II progression and splicing could p
59 ly CDI incidence were used to measure 1) the time lag between the annual pneumonia and influenza prev
60 alents during pachytene, and that there is a time lag between the appearance of chromosome-bound DNA
61                Because there is an important time lag between the emergence of new pandemic strain an
62                                          The time lag between the first proto-subduction (about 4 bil
63  positive but sensitive to assumptions about time lag between the increase in active travel and chang
64 ion of RhoGEFs is the cause of a significant time lag between the initial Ca(2+) transient and phasic
65 erial branches, parenchymal enhancement, the time lag between the pulmonary arterial and parenchymal
66                    In summary, we observed a time lag between the resolution of systemic and airway i
67  target gene to estimate the transcriptional time lag between these two genes.
68      In contrast, the theta-scale (0-150 ms) time lags between cell pairs, representing distances on
69 ass peak (varying from April to May) and the time lags between ice algae and pelagic phytoplankton pe
70 10 % smaller knee joint rotations, different time lags between peak joint rotations, and more variabl
71 ition for the winning parasitoid reveal that time lags between successive attacks influence the outco
72                                          The time lags between the periodic feature of InSAR-observed
73  weather variables (both contemporaneous and time lagged), body-condition index (BCI) and trapping ef
74 vity with AMP-PNP present and eliminated the time lag, but KCl had no stimulatory effect with ATP.
75                                         This time lag caused net ecosystem carbon sequestration in pr
76 to the center of the particle did not show a time-lag characteristic of slow-transport into the parti
77                                The degree of time lag correlated with initial HIC (r = 0.47, P < .003
78                  The data was analyzed using time-lagged correlation analysis, which identifies genet
79  each voxel and the whole-brain signal using time-lagged correlation and compared the results to mean
80     The tool assigns potential edges through time-lagged correlation, incorporates a clustering mecha
81                                  Significant time-lagged correspondence was evident between nifH tran
82 racking microrheology whereby the extent and time-lag dependence of the mean squared displacements of
83 gle-cell time-lapse microscopy, by revealing time lags due to regulation, can discriminate between ac
84 NSO events, which was caused by the combined time lag effects of ENSO events on precipitation and tem
85 n indicators to develop models; however, the time-lag effects are less considered, which tends to inc
86                              Considering the time-lag effects is quite important for better predictin
87               First, this study analyzed the time-lag effects of global vegetation responses to diffe
88 tudy, we aim to quantitatively determine the time-lag effects of global vegetation responses to diffe
89         The results showed that (i) both the time-lag effects of the vegetation responses and the maj
90  climate characteristics; (ii) regarding the time-lag effects, the climatic factors explained 64% var
91 ly with the diverse spatial patterns and the time-lag effects, which are the most important mechanism
92 elatively higher than the model ignoring the time-lag effects; (iii) for the area with a significant
93 assertions on causality through inference on time-lagged effects.
94 aplacian eigenmaps, evaluated after suitable time-lagged embedding, to produce a reduced representati
95 deforestation had completely halted in 2010, time lags ensured there would still be a carbon emission
96 non-constant inputs, we find that there is a time lag equal to the calcium buffering time constant be
97                               This method of time lag estimation increases the accuracy of predicting
98 sembly of the virus, the former exhibiting a time lag even if all forward rate constants are equal.
99                    In contrast, there was no time lag for adhesion in response to the formyl peptide
100                                          The time lag for the response was unaffected in the mutant;
101 in which the TF functions and identified the time lag for the TF to exert regulatory effects on its t
102                                          The time lag for transport of (125)I-IGF was 266 min, an ord
103 mitations, such as a low response rate and a time lag for treatment response that represent a signifi
104 rbance colonization with a recovery state or time-lag for disturbed ("focal") patches, thus assuming
105  in groundwater, possibly as a result of the time-lag for modern recharge to reach well screens, deni
106  supported by the occurrence of quantifiable time-lags, for all studied gases, during constant volume
107  MeHg retention may help explain the decadal time lag frequently observed for the decrease of piscivo
108           Current evidence suggests that the time lag from the publication of randomised clinical tri
109                Predictive skill declines for time lags from 0 to 15 weeks, then increases again, to R
110 e mean-squared displacement correlation with time lag had slopes with values of unity for simple HA s
111       The key feature of the model is that a time lag has been introduced in the activation of anapha
112 d under certain conditions, i.e., increasing time lag, high temperature and low pH.
113 c layer on stream nitrate concentrations and time lags (i.e., time period between land application of
114 ping current genetic diversity, suggesting a time lag in genetic responses.
115 tween CT detector rows and the corresponding time lag in the contrast enhancement curves and was corr
116 Among randomized efficacy trials, there is a time lag in the publication of negative findings that oc
117 res, with some records showing a significant time lag in the temperature response to declining pCO2.
118 le impact on plant dynamics and there are no time lags in density dependence.
119                            Whereas there are time lags in ecological effects, socioeconomic effects a
120 he importance of bistability, hysteresis and time lags in governing cell cycle transitions and checkp
121  a temporal asymmetry such that the positive time lags in the filter contributed more to the LFP esti
122 by temperature and precipitation, as well as time lags in these variables.
123 ors of the cell cycle engine (hysteresis and time lags), includes new elements in the signaling netwo
124            Importantly, we accounted for the time lags inherent in both the release of carbon and the
125                        The magnitude of this time lag is critical information for Chesapeake Bay wate
126                          The reason for this time lag is unknown but fundamental to understanding the
127 appears in the differential frames, when the time-lag is set to the one corresponding to the maximum
128 idization 95 million years ago, fit such a 'time-lag' model of post-WGD radiation, which occurred al
129 ome is likely to be even more pronounced and time lags more persistent for less vagile taxa, particul
130           We use a coupling measure based on time-lagged mutual information to identify effective con
131 ic property of the behavioral CRs at a fixed time lag, nor does it linearly encode CR amplitude.
132 eptide hydrolysis, but only after an initial time lag not seen with ATP.
133                             A Mg2+-dependent time lag of 10 ms is observed between primer-template bi
134 age to reorient the root, we observed a mean time lag of approximately 10 min.
135 isensory gain in behavioral performance at a time lag of approximately 250 ms.
136   This study was designed to investigate the time lag of effect of NS398, selective COX-2 inhibitor,
137 nant of sensor accuracy is the physiological time lag of glucose transport from the vascular to the i
138                    In conclusion, there is a time lag of interstitial glucose behind blood glucose, r
139                                            A time lag of less than 1 s was observed between maximum h
140 sequence) and limitations of the instrument (time lag of the force-feedback mechanism and finite band
141 atheter dead space and assay noise, the mean time lag of tracer appearance in the interstitial space
142 display significant limitations, including a time lag of weeks to months and low rates of therapeutic
143 rchaeological, and historical data show that time lags of decades to centuries occurred between the o
144 he importance of long-distance dispersal and time-lags on population establishment and spatial spread
145  this can be naturally described in terms of time lags or within-generation functional responses.
146 own weaker forms of synchronisation (almost, time-lag, phase synchronisation, and generalised synchro
147   The observed reaction kinetics exhibited a time lag prior to the rapid hydrolysis.
148 nal, we identified six groups of genes whose time-lagged profiles possessed significant correlation,
149  a seed, and searching for other genes whose time-lagged profiles possessed significant correlation,
150 lgorithm to address the problem of inferring time-lagged regulatory relationships from multiple time
151  with thresholds, reciprocal feedback loops, time lags, resilience, heterogeneity, and surprises.
152  The overall approach identifies evidence of time-lagged response which may be indicative of mechanis
153  resilience mechanisms in quantitative terms-time lags, response speeds, and maximum magnitudes-and i
154 tive facial gestures and close inspection of time lags revealed activity that either preceded (produc
155                      Models with a fortnight time-lag show a high predictive capacity (R(2) = 0.71 fo
156                            Using fluorescent time-lag staining, we were able to infer source and fina
157 nds on their costs and also on the different time lags that are inherent to both protection and resto
158 establish what events take place during this time lag, the timing of clamp release was compared to th
159 plied Cox regression, and examined different time lags, the shape of the concentration-response relat
160 ls, we constrained the intrusion-to-eruption time lag to between 3 and 10 weeks.
161 motivated research gaps (propagule pressure, time-lags to extinction, abundance shifts, and loss of a
162 mental systems with continuously distributed time lags, to describe the unexpected kinetics of proges
163  dynamics were encoded as edge weights using time lagged transfer entropy, a method for quantifying i
164 ns, appears to be predominantly Brownian for time lags up to 2.5 s when imaged at 10 Hz.
165                                Moreover, the time lag was corroborated using a one-dimensional heat-t
166                     An approximately 8-month time lag was detected between tropical wetland CH4 emiss
167      An offset biphasic wave with a positive time lag was present in the unrectified average for 10 i
168 araday to Faraday and Faraday to ion counter time lags were determined and corrected using VBA data p
169 le to increase glucose uptake with a shorter time lag when inactive GLUT4 was first translocated to t
170 ex neurons was strong and extended over long time lags, whereas coupling among auditory cortex neuron
171 re simply lagging behind due to the inherent time lag with drug discovery, but it is also possible th

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