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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
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
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
18 reast cancer data revealed a linear, branching evolutionary model with two distinct trajectories for malignant progressio
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
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
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.
44 est dataset, and the remaining cases were used to train the model with a 75%-25% training-validation split and fourfold c
46 v model to classify regulatory elements, and annotated this model with matched gene expression data.