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1  cultured as polarized epithelia in a Transwell system as a model with which to study polarized sEV communication.
2 e find that the data are most parsimoniously explained by a model with nearly constant crustal silica since at least the
3 ratio, 3.47 [95% CI, 1.19-10.11]), and its integration in a model with current criteria increased the 5-year time-depende
4 a computational framework that supports the projection of a model with uncertainties in broader contexts such as biogeoch
5  study aimed to generate a novel epigenetic clock in rats-a model with unique physical, physiological, and biochemical ad
6                            Altogether, these data support a model with the Rsb system responding differentially to TCA cy
7 (n = 213) on the basis of lipid profile at baseline using a model with an area under the receiver operating curve of 0.81
8 evaluated according to Metroticket 2.0 model and French AFP model with Milan criteria serving as benchmark.
9 r (Melopsittacus undulatus; of either sex), an avian animal model with complex hearing abilities similar to humans.
10 The provider training model moved from a graduated autonomy model with direct specialist supervision to a 1-day workshop
11                     Using a first-principles carbon balance model with a prescribed live woody biomass turnover, applied
12                                             A 1-compartment model with zero-order absorption and allometric scaling best
13                                     Thus, a two-compartment model with five crucial ionic currents in the apical dendrite
14 th those in patients who did not, using a multivariable Cox model with inverse probability weighting according to the pro
15 and potential pitfalls, of the approach using a birth-death model with both synthetic and experimental data, and show tha
16 on to construct and constrain a build-to-threshold decision model with multiple build-up (evidence accumulation and urgen
17               The scores were fit to a linear mixed-effects model with intercepts for reader and subject.
18 reast cancer data revealed a linear, branching evolutionary model with two distinct trajectories for malignant progressio
19                              We employ a capacity expansion model with integrated assessment of climate and health damage
20  explain vortex formation, we propose an active polar fluid model with a feedback between cell polarization and tissue fl
21 e macroinvertebrate traits, corresponding to a life-history model with axes of resistance, resilience and resource use, a
22  theoretically study the phase diagram of the Kondo lattice model with a nonmagnetic valence bond solid ground state on a
23 on in scRNA-seq counts, we recommend the generalized linear model with negative binomial count distribution, not zero-inf
24 s were projected over a 15-year time horizon using a Markov model with Hodapp-Parrish-Anderson glaucoma stages (mild, mod
25                                  A generalized linear mixed model with a participant-level random intercept was used to e
26 A shapes brain circuits in vivo, here, we generated a mouse model with primate-lineage-specific isoforms of C4, human C4A
27 ct of this second-site mutation in vivo, we created a mouse model with the corresponding V558Delta;V653A Kit double mutat
28                                               Using a mouse model with two reporter genes, we observed that, while GHRH(t
29 -NSG/alpha-Gal(null) is the first available humanized mouse model with such features.
30                The preclinical study using an in vivo mouse model with orthotopic xenografts of HCC cells confirmed the i
31 me that p190A is a tumor suppressor using a xenograft mouse model with carcinoma cells harboring defined ARHGAP35 alterat
32 ditional features of ATI, we developed a final multivariate model with a highly significant relationship to UOC (Receiver
33 borative developed a framework for a HF value-based payment model with a longitudinal focus on disease management (to red
34 he quantification of adulterants was possible through a PLS model with the variables selected by iPLS.
35 we have robustly trained and characterized a CCS prediction model with high accuracy on diverse chemical structures.
36 r sizes can be described using a modified branching process model with the individual reproduction number following a Poi
37                 We compared the performance of the proposed model with those of the state-of-the-art DL models including
38                    It was based on the optimized regression model with standard-sample bracketing (ORM-SSB) to efficientl
39 vival from 27 to 70 days in a GBM xenograft mouse resection model with no sign of tumour recurrence.
40 y cost reduction targets within a global human-earth system model with US state-level energy systems, in scenarios to 205
41 tty acid synthase (FAS) of Escherichia coli and paired that model with a fully reconstituted in vitro system to examine t
42 We accounted for competing risks of death and populated the model with primary and published data.
43 ality rate, PC1 did not contribute to an improvement to the model with clinical features alone.
44 est dataset, and the remaining cases were used to train the model with a 75%-25% training-validation split and fourfold c
45                                       We have validated the model with independent experimental data and used it to inves
46 v model to classify regulatory elements, and annotated this model with matched gene expression data.
47                                              We paired this model with in vivo fast scan cyclic voltammetry in freely mov
48                                      We used a transmission model with asymptomatic and presymptomatic states, calibrated
49                                          The Lotka-Volterra model with a fluctuating mortality rate predicts that this ou
50 tive that induced growth delay in a neuroblastoma xenograft model with minimal toxicity.