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1  >2 SDs below the mean on the basis of fetal growth curves).
2  of their intensities over the course of the growth curve.
3 owth curve, and (iii) the slope of the virus growth curve.
4 nt fittings proposed before for the one-step growth curve.
5 , ATP, and GTP over the course of the entire growth curve.
6  and changes throughout the Escherichia coli growth curve.
7 the control cells at all three phases of the growth curve.
8 bic growth and at different stages along the growth curve.
9 each of the csp genes changed throughout the growth curve.
10 ilution, E strip, chequerboard titration and growth curves.
11  forms of object use and their developmental growth curves.
12 ll-animal PET and compared with tumor volume growth curves.
13 ial growth and stationary phase of microbial growth curves.
14 ability and increases flexibility of fitting growth curves.
15 evation and rate of change of the individual growth curves.
16  metric value to quantify yeast microculture growth curves.
17 ining the general features of the population growth curves.
18 data, weather pattern changes over time, and growth curves.
19 nd to the comparison of human and chimpanzee growth curves.
20 zing data from monoculture and mixed-culture growth curves.
21  All 1874 examinations were used to generate growth curves.
22  density and can be used to follow and model growth curves.
23 put for measuring organisms' shape, size and growth curves.
24 rturbations, which often exhibit nonstandard growth curves.
25  grow in fresh medium to generate measurable growth curves.
26 the developing sepal follow similarly shaped growth curves.
27 n the exponential phases of their respective growth curves.
28                           Fluorescence-based growth curves, 3D image analysis, immunohistochemistry a
29 s, larger rats at a more steady state on the growth curve (400 g) were injected with either saline or
30                      Multivariate individual growth curves across age were created for daytime and ni
31 ty scores from phloxine B staining or colony growth curves, all obtained with inexpensive transillumi
32                                              Growth curve analyses compared change in scores over tim
33                                              Growth curve analyses indicated that the trajectories of
34                                              Growth curve analyses revealed a sharp decline in the le
35                                     In vitro growth curve analyses revealed that the bb0345 mutant gr
36                                              Growth curve analyses tested whether perceived discrimin
37 nt this conclusion mainly based on extensive growth curve analyses, we also present details concernin
38 tories were derived from multivariate latent growth curve analyses.
39 alidated their tumor suppressor potential by growth curve analysis and colony formation assay.
40  course of development was evaluated using a growth curve analysis appropriate for a mixture of cross
41                                   However, a growth curve analysis of Ad5-IX-mRFP1-E3-V-EGFP showed a
42                                          The growth curve analysis of transfected and WT B. microti a
43 position by Translation And Rotation (SITAR) growth curve analysis on ~ 56,000 trans-ancestry samples
44                                              Growth curve analysis revealed that AvrXA21 activity is
45                                   Individual growth curve analysis revealed that patients in all thre
46                                              Growth curve analysis showed that social withdrawal and
47           The PMAnalyzer pipeline performs a growth curve analysis to parameterize the unique feature
48                                              Growth curve analysis using MeWo cells and SCID-hu mice
49                         Unconditional latent growth curve analysis was performed to identify latent c
50                                              Growth curve analysis was performed using the Gompertz m
51                                              Growth curve analysis was used to determine stability or
52           From the perspective of individual growth curve analysis, PD features show considerable var
53                          Based on multilevel growth curve analysis, there was no statistically signif
54 jectories were calculated using latent class growth curve analysis.
55 DH at the early and logarithmic phase of the growth curve and a statistically significant decrease in
56 us sequence typing, fitness was evaluated by growth curve and competition assays, and vanA presence w
57 film quantification, Ziehl-Neelsen staining, growth curve and replication of planktonic cells), we fo
58                             The shape of the growth curve and the age at which sensitivity reaches 50
59    RB94 expression led to flattening of cell growth curves and caused tumor regression.
60 s (P1 to P3) were characterized by assessing growth curves and ciliostatic effects.
61           Fitness was measured with one-step growth curves and competition assays, and mutations were
62                                              Growth curves and competition tests on lineages that pas
63 gically meaningful mathematical functions of growth curves and developmental allometry into the estim
64 patterns of genetic effects of QTL governing growth curves and estimate the global effect of the unde
65                                           By growth curves and FA staining, human CEA and to a much l
66  therapeutic response characterized by tumor growth curves and histopathology.
67             With use of standard exponential growth curves and known tumor growth rates, malignant gr
68          No differences were observed in the growth curves and relative fitness scores of EIAVs of pr
69                                              Growth curves and scratch assays were performed to chara
70  high resolution figures of sample-replicate growth curves and several statistical analyses.
71  studies, many interesting traits, including growth curves and skeletal shape, have temporal or spati
72       This response was confirmed with tumor growth curves and stains for Ki67 and cleaved caspase-3.
73 ned the relationships among the cell lineage growth curves and surprisingly found that all lineages r
74                               Interestingly, growth curves and time-kill studies indicated that toler
75  this work is to extend the analysis of cell growth curves and to better estimate the duration of the
76  glucose starvation response in S. suis, the growth curves and transcriptional profiles were compared
77 ter infection, (ii) the area under the virus growth curve, and (iii) the slope of the virus growth cu
78 sessed by the cell proliferation index, cell growth curve, and cell cycle assay.
79 cline of cells during the early stage of the growth curve, and the range of parameters when this decl
80 U) assay, propidium iodide (PI) staining and growth curves, and blocks cell migration based on transw
81 .RESULTSImmunofluorescence signals, organoid growth curves, and Ki-67 levels were measured and authen
82 n multiround transmission versus single-step growth curves, and reveal a hitherto-unknown process in
83                                        Tumor growth curves are classically modeled by means of ordina
84 h the adsorption rate constants and one-step growth curves are determined for both phages.
85                                    Bacterial growth curves are essential representations for characte
86                            Organism size and growth curves are important biological characteristics.
87 solution (0.08-0.1 millimeter) show that the growth curves are not smooth but show many small irregul
88                         While estimates from growth curves are simple and allow high throughput, they
89                                    Microbial growth curves are used to study differential effects of
90  to measure organism size, and in particular growth curves, are often resource intensive because they
91  and optimizing culture conditions by use of growth curve assays with a fractional factorial experime
92 i and Bacillus subtilis by following diauxic growth curves, assays to estimate the utilization or dep
93 rait loci (QTL) for growth and parameters of growth curves assist in understanding the genetics and u
94 cific reagent-based assay revealed anomalous growth curves associated with 0.40% (95% confidence inte
95 pective examination of quantitation standard growth curves associated with 1,000 unique clinical seru
96  to a single measure as total area under the growth curve (AUC for SSF); multivariable linear regress
97                                        Tumor growth curves before and after treatment were analyzed w
98 srA::kanR strains were quantified during the growth curve, both the rate of glycogen accumulation dur
99               All dNTPs decrease through the growth curve but do not have the abrupt drop, as seen wi
100 ely normal quantities of virus in a one-step growth curve but had a small plaque phenotype.
101 third month were used to estimate individual growth curves by mixed models.
102 iographic imaging were identified, and tumor growth curves calculated.
103  Experimentally, this can result in biphasic growth curves called "diauxic shifts" that typically ari
104 e find that the variability of the acrosomal growth curve can be explained by the salt and water flux
105 e replicative capacity revealed by the yeast growth curve can be understood by using the dynamical pr
106                           Accordingly, these growth curves can be represented by sigmoid functions.
107                                           3D growth curves can facilitate use of state-of-the-art 3D
108  not because, in theory, infinite numbers of growth curves can result in the same final measurement.
109 d upon knockdown of CaMKIId as determined by growth curves, cell cycle analysis, and capacitance of c
110 lavones and soy phytochemical concentrate on growth curves, cell cycle progression, and apoptosis in
111 ne OHHL in Ecc hexA is higher throughout the growth curve compared with the wild-type strain.
112  increasing copies of VA1 RNA, and multistep growth curves demonstrated a >100-fold increase in VA1 R
113                                        Child growth curves demonstrated substantial improvements in c
114                                          The growth curves depend on the growth and death rate of the
115  Analyses were linear multilevel models with growth curves (depressive symptoms), logistic multilevel
116                   Conclusion Lower extremity growth curves derived from AI measurements on standing s
117                                              Growth curves derived from infections of mouse neuroblas
118                                      The BMI growth curve did not increase monotonically over time; r
119 nism growth over time follows an exponential growth curve (e.g., logistic or S-shaped).
120                                              Growth curves, electron microscopy, flow cytometry, and
121            We employ biologically meaningful growth curve equations to model time-specific expected g
122 ed at different time points in the bacterial growth curve exhibited several spectral features that en
123 izes the growth characteristics of microbial growth curve experiments conducted in a plate reader.
124  the versatility of the device by performing growth curve experiments with Escherichia coli and micro
125                                           In growth curve experiments, the viruses lacking the G prot
126 Cell cultures were evaluated for toxicity by growth curve extrapolation, mutation assays were perform
127 the Preece-Baines growth model, a parametric growth curve fitted to longitudinal height data, in 787
128 PWV) in infancy were derived from parametric growth curves fitted to longitudinal height and weight g
129 ion decreased tumor growth, as determined by growth curve, flow cytometry analysis, and cyclin D1 dow
130      Interestingly, we observed a comparable growth curve for MCTS under constant drug treatment over
131 e was used to produce age-based FFMI and FMI growth curves for black (B), white (W), and Hispanic (H)
132 gether, these results delineate sex-specific growth curves for CBF during youth and for the first tim
133                       Finally, comparison of growth curves for glutathione-depleted Escherichia coli
134                                   Cumulative growth curves for increasing enamel thickness and tooth
135                                 Sex-specific growth curves for LAD were estimated for individuals wit
136  in Danish) cohort were used to estimate BMI growth curves for the age span from 14 d to 19 mo by usi
137  adjusted for sex and birth weight, compared growth curves for the higher-appetite vs lower-appetite
138                                              Growth curves for the obese group were distinguishable f
139                           When examining the growth curves for these clusters they were found to foll
140                                 Although the growth curves formed a continuum according to these 11 g
141              First, to create an optic nerve growth curve from normal optic nerve sheath diameter (ON
142     We thus predict the parameters governing growth curves from basic cellular properties and derive
143                         The normal fetal PFV growth curve generated in this study may have potential
144    Characterizing the lag phase in microbial growth curves has importance in food sciences, environme
145                                  Single-step growth curves, however, indicated that virus yields were
146 red with Smst(+/+) mice, the mutant mice had growth curves identical to their sibling controls and re
147  factor, allowing retrieval of a hygroscopic growth curve in a matter of seconds.
148                                              Growth curves in cultured fibroblasts indicated that Meq
149 eplication and virus transmission: multistep growth curves in differentiated human bronchial epitheli
150 f considering scaling laws when interpreting growth curves in general, and further show that pronounc
151                                    Multistep growth curves in Neuro2A and BHK-21 cells revealed that
152 l mouse infection models: there were similar growth curves in spleens and livers of mice and similar
153             Analysis of human and chimpanzee growth curves indicates a combination of neoteny and seq
154  to EphB2 followed a parabolic dose-response growth curve, indicating growth stimulation until the ch
155 moval of the inhibitor from culture media, a growth curve inflection point at 3.1 h is observed (vs 0
156 l integrates mathematical equations of human growth curves into the mixture model-based functional ma
157 d the newfound capacity to reconstruct their growth curves make it possible to address these question
158                     Elucidating the shape of growth curves may reveal novel genetic controls that sin
159 es" by time-frequency analysis of unbalanced growth curves measured with high temporal resolution.
160 oints; 95% CrI, 21.4-39.3), and the original growth curve model (26.0 points; 95% CI, 18.7-33.3).
161                        A multivariate latent growth curve model assessed associations between simulta
162                                     A latent growth curve model assessed the extent to which inspecti
163 12 months using several models: the original growth curve model for KCCQ scores (ignoring death), sep
164  polynomial was derived using a multivariate growth curve model that enables prediction of BDEs of un
165                    In this study, I used the growth curve model to examine the association between gr
166                                     A latent growth curve model was applied across the whole sample o
167 l measurement invariance second-order latent growth curve model we conducted whole-brain analyses on
168                   Based on a two-part latent growth curve model, we conducted whole-brain analyses on
169                    In this study, we present growth curves modeled from longitudinal fMRI data collec
170                                              Growth curve modeling and growth mixture modeling were e
171                          Longitudinal latent growth curve modeling demonstrated that the effects of v
172                                   Individual growth curve modeling for waist circumference, body mass
173         Using genetically informative latent growth curve modeling of 81,924 measures of cortical thi
174 zed associations were estimated using latent growth curve modeling procedures.
175                                       Latent growth curve modeling revealed a stable intercept over t
176                                       Latent growth curve modeling revealed that alcohol problems dec
177                                Discontinuous growth curve modeling was used to assess trajectories of
178                                 Longitudinal growth curve modeling was used to compare changes in hea
179                                   Multilevel growth curve modeling was used to estimate diurnal corti
180                                              Growth curve modeling was used to estimate symptom recov
181                                              Growth curve modeling with random intercept was performe
182                                   Individual growth curve modeling within a multilevel framework was
183 f statistical procedures, such as individual growth curve modeling, that can detect and describe indi
184  have yet to analyze longitudinal data using growth curve modeling, which allows characterization of
185 red between groups using multivariate latent growth curve modeling.
186 ears) and analysed using multivariate latent growth curve modelling.
187     Associations were evaluated using linear growth curve models and were adjusted for study covariat
188                       Traditional parametric growth curve models capture the population growth behavi
189                                              Growth curve models demonstrated that irrespective of se
190                                              Growth curve models examined the pattern of change in th
191 %)) were calculated on the basis of logistic growth curve models fitted.
192                               We used latent growth curve models for modeling longitudinal cognitive
193                        Estimates from latent growth curve models indicated that the developmental cou
194                                       Latent growth curve models of the longitudinal data tested whet
195                                 Furthermore, growth curve models revealed no association between earl
196          After covariates were adjusted for, growth curve models showed that within-person increases
197 dy of Adolescent Health (1996-2008), we used growth curve models to examine self-reporting bias in tr
198                                  Conditional growth curve models were estimated for continuous measur
199                                 Mixed-effect growth curve models were used to estimate symptom develo
200                                       Latent growth curve models were used to evaluate associations b
201                                              Growth curve models were used to evaluate the trajectory
202                                 Latent class growth curve models were used to examine longitudinal le
203                                              Growth curve models were used to simultaneously estimate
204                                 Using linear growth curve models, ICARS progression rates were calcul
205 dies using lagged dependent variable models, growth curve models, individual fixed effects models, si
206 s limitation was partially overcome by using growth curve models, which enabled us to impute data at
207 cal and cognitive measures were derived from growth curve models.
208 mptom severity score was submitted to latent growth curve models.
209 , 19, and 22 years were modeled using latent growth curve models.
210 re assessed using longitudinal random-effect growth curve models.
211                          Hierarchical linear growth-curve models and hierarchical logistic models wer
212                                           AI growth curves more accurately represented lower extremit
213 led infinite-dimensional characters) such as growth curves, mortality curves, and reaction norms, was
214 ecific patterns-such as inflection points in growth curves-not identified by standard parametric mode
215               Doubling times calculated from growth curves obtained from cultures inoculated at moder
216 iofilm in correlation with the corresponding growth curve of bacteria in liquid culture.
217 ion-growth model we are able to simulate the growth curve of barium titanate at three temperatures.
218 oration, and construction; sex moderated the growth curve of children's exploration.
219 e modeled the effect of schizophrenia on the growth curve of cortical thickness in ~80,000 locations
220 tration that saturated the E2 dose-dependent growth curve of MCF7/BUS cells.
221 s and Measures: Establishment of the natural growth curve of PGN.
222 ding, resulting in the characteristic linear growth curve of photoautotrophs.
223                                 The one-step growth curve of Syn5 demonstrated a short cycle with an
224                                         Mean growth curves of activation in motor response control re
225    Based on a theoretical description of the growth curves of adhesion domains, we present a new (to
226                       In the third analysis (growth curves of CRT and No-CRT groups), statistically s
227                                      Initial growth curves of DEN-2 virus 16681 were obtained in Vero
228                                              Growth curves of hyperosmotic samples were shifted compa
229 idopsis thaliana) sepal to determine how the growth curves of individual cell lineages relate to one
230 we demonstrate semi-automated measurement of growth curves of individual daphnids (C. dubia and D. ma
231                Plate readers can measure the growth curves of many microbial strains in a high-throug
232               We estimated r and K using the growth curves of over 7,000 yeast recombinants in nine e
233                                              Growth curves of PTSD, depression, and general anxiety/s
234                                              Growth curves of strain T-1 growing in the presence of c
235  growth curves, which were compared with the growth curves of the Anderson-Green method for coverage
236 ls is necessary for reproducing experimental growth curves of the baker's yeast Saccharomyces cerevis
237 y measured timing of RB-to-EB conversion and growth curves of the developmental forms in an infected
238 d present open-source three-dimensional (3D) growth curves of the human face.
239                                  Single-step growth curves of the recovered viruses from the parental
240                                          The growth curves of three recent vaccine strains demonstrat
241                                              Growth curves of two hypopiezotolerant strains, Serratia
242 ographic data to compare length-at-age (LaA) growth curves of two well-studied populations of Indo-Pa
243 srB RNA levels were estimated throughout the growth curves of wild-type and isogenic csrA, csrB, rpoS
244          The results show that the bacterial growth curve on PET exhibits the distinct lag and log ph
245 ermine mean slopes of pre- and posttreatment growth curves on a per-tumor basis and were compared wit
246 was used to determine pre- and posttreatment growth curves on a per-tumor basis.
247 y can therefore be monitored by either yeast-growth curves or anti-phosphotyrosine Western blots.
248                        Facial anthropometric growth curves or standards of single inter-landmark meas
249 extensively in monolayer, maintaining linear growth curves over at least 30 population doublings.
250 Analyzer version 2.0 provides fast automatic growth curve parameter analysis, growth identification a
251 and the simplex algorithm for estimating the growth curve parameters of the genotypes at these QTL an
252      Relatively few QTL influencing Gompertz growth curve parameters were detected and overlapped wit
253 f PD stability and change from an individual growth curve perspective.
254          Analysis on the whole-cell level by growth curves, photosystem II light saturation curves, a
255                                   Instead of growth curves predicted by deterministic models, our SDE
256 ting lines of arrested growth and performing growth curve reconstructions that Tenontosaurus, Allosau
257  synthesized in these cells, and single-step growth curves revealed that the rate of virus replicatio
258 road (generalist) host ranges, with one-step growth curves revealing reduced burst sizes for the gene
259 breast cancer cells, whose E2 dose-dependent growth curve saturated with 100 pM E2.
260 trikingly different immunology and bacterial growth curves seen in animal models after high-dose and
261 variance and followed a nonlinear asymptotic growth curve shape.
262                                              Growth curves show that mutants fall into two phenotypic
263                                     However, growth curves showed that progeny virion production is i
264  in comparison to wild-type (wt) AcMNPV, and growth curves showed that pseudotyped vAc(64-) was gener
265                                     In vitro growth curves showed that V. sinaloensis grew more rapid
266          Furthermore, the estimated epidemic growth curve shows a period of exponential growth that p
267                              Analysis of the growth curves shows that Ostwald ripening only takes pla
268 e we show that dinosaurs exhibited sigmoidal growth curves similar to those of other vertebrates, but
269                                              Growth curve studies indicated that production of the mu
270 s, including global expression profiling and growth curve studies, we demonstrate that BBX32 acts ant
271                                              Growth curves supported the dose-response observations.
272              Recovery follows an exponential growth curve that depends on the duration, but not the t
273 oductively infected cells, and by a one-step growth curve that showed production of 100 to 1,000 PFU
274 tributions, equity analysis, predicted child growth curves through polynomial regressions] and advanc
275 oduce an analytic approach using the sigmoid growth curve to model the dynamics of individual entitie
276 use scale-insensitive Cqs or normalize their growth curves to constant amplitude before applying the
277 h was evaluated in conjunction with one-step growth curves to correlate morphological differentiation
278 tively coupled plasma-mass spectrometry, and growth curves to evaluate how oxygen levels affect zinc
279                                              Growth curve trajectories varied by BRIEF subscale and i
280  the model also accurately predicts spheroid growth curves under different external nutrient supply c
281 ral and robust model of microbial population growth curves using Gaussian process (GP) regression.
282 r law model to predict the full future tumor growth curves, using just three data points.
283 time and find that the quality of individual growth curves varies, partly due to methodological reaso
284                                  In one-step growth curves, VSV-12'GFP displayed the slowest growth k
285                               An optic nerve growth curve was created by using ONSDs measured in heal
286                                         Crop growth curve was obtained by fitting several non-linear
287               The incremental area under the growth curve was used as a measure of long-term rates of
288          Linear regression analysis of tumor growth curves was used to determine pre- and posttreatme
289                         All individual tumor growth curves were decoded via separate measurements of
290                      Cognitive developmental growth curves were derived from the prospective data (an
291                                        Tumor growth curves were determined in the presence or absence
292                                   Polynomial growth curves were fit to the data by maximum likelihood
293                                              Growth curves were plotted for these technology clusters
294        The viruses were compared in vitro by growth curves, which indicated that rMV(EZ)EGFP(1) was o
295 ile polynomial regression femoral and tibial growth curves, which were compared with the growth curve
296    Accordingly, any scale variability in the growth curves will lead to bias in constant-threshold-ba
297 sduced with NUP98-HOXA9 exhibited a biphasic growth curve with initial growth inhibition followed by
298 tly reproduces complex, distinctive COVID-19 growth curves with high accuracy.
299                                By performing growth curves with WT, alsT and gltS mutant strains in d
300  reporter construct varied sixfold along the growth curve, with the highest value at 4 to 6 h of grow

 
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