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1 why this could be in light of the IH and our theoretical model.
2 attering morphology combined with a suitable theoretical model.
3 f 0.48(3)pi is in excellent agreement with a theoretical model.
4 collision frequency calculated by using the theoretical model.
5 d agreement with the predicted values by the theoretical model.
6 atches per nanoparticle, in agreement with a theoretical model.
7 n of mRNA copy-number to the prediction of a theoretical model.
8 mapping observed brain network data onto the theoretical model.
9 n exceeds the hyperfine, in agreement with a theoretical model.
10 Experimental data agree with a theoretical model.
11 pling strength, which is in agreement with a theoretical model.
12 ly improved by including convection into the theoretical model.
13 -based computer simulation derived from that theoretical model.
14 re not predicted by the latest generation of theoretical models.
15 cribe movement, and forms the basis for many theoretical models.
16 upon this angle, thereby satisfying earlier theoretical models.
17 ck of suitable calibration data or validated theoretical models.
18 Data are compared with various theoretical models.
19 ural information without the need to rely on theoretical models.
20 ions cannot be reliably predicted by current theoretical models.
21 ty risk, an important factor in evolutionary theoretical models.
22 motion detection that is a hybrid of classic theoretical models.
23 were previously found prone to extinction in theoretical models.
24 xperimental data, numerical simulations, and theoretical modeling.
25 ase separation, we combined biochemistry and theoretical modeling.
28 self-referencing (calibration) with a robust theoretical model allows for the analysis of local surfa
29 the experimental data with a newly developed theoretical model allows us to quantify the thermodynami
32 tween the contact stiffness predicted by the theoretical model and by the analogous experimental resu
34 ain the mechanism of wave generation using a theoretical model and numerical simulations, which show
36 with experimental results, a combination of theoretical modeling and atomistic simulations indicates
40 no diffusional effect, which simplifies the theoretical modeling and quantitative analysis of the vo
46 ch advances have been driven not only by new theoretical models and pharmacological applications of a
47 how closely the physical system matches the theoretical models and prevents attacks due to discrepan
48 ignals in PPS is of particular relevance for theoretical models and simulations of BSC and eventually
51 perimental results have been analyzed with a theoretical model based on the Boltzmann kinetic equatio
53 id bioaccessibility was predicted by using a theoretical model, based on almond particle size and cel
54 ular uptake of nanoparticles through various theoretical models before comparing this with observatio
55 nd evolution, and researchers have developed theoretical models, both verbal and mathematical, to fac
56 es have been conducted for most elements and theoretical modelling can be performed to high precision
57 ations of DNA, as well as to the belief that theoretical models can substitute experimental ones in s
64 of thermal fluctuations consistent with our theoretical modeling, demonstrating the efficacy in comb
67 e, be used to discriminate between different theoretical models describing the molecular mechanism of
68 geometries, which can be designed using the theoretical model developed here.Forcing a DNA molecule
70 transmission electron microscopy imaging and theoretical modeling elucidate the nanometer-scale mecha
72 bjective of this investigation is to provide theoretical models enabling design of remineralization b
73 Neural resonance theory (NRT) provides a theoretical model explaining how an internal periodic re
77 e a new, physically motivated, generalisable theoretical model for mtDNA populations during developme
78 horylation sensor, and provide a mechanistic theoretical model for spatial regulation of Aurora B pho
79 ent spectra are interpreted by introducing a theoretical model for the description of the coupling of
80 ectroscopic experimental investigation and a theoretical model for the interfacial field at the junct
81 ctral evolution is explained by developing a theoretical model for the power spectral density of tunn
83 with membranes of various types, we employ a theoretical model for the shape and thermodynamics of in
86 In particular, our current understanding and theoretical models for amplified or multiple energy tran
88 ides valuable benchmarks for comparison with theoretical models for gas-surface reactivity aiding in
91 (-1) K(-2) putting strong constraints on the theoretical models for the Fermi surface reconstruction.
93 less in autistic children than predicted by theoretical modelling, given their poor temporal resolut
94 are interpreted with the aid of a high-level theoretical model giving excellent agreement with the ex
96 ical nature of the Solar System predicted by theoretical models has yet to be rigorously confirmed by
105 ically focus on studying, through a stylized theoretical model, how stochasticity in water availabili
106 remes is consistent with a recently proposed theoretical model in which CAPE depends on the influence
109 e compute hole mobility with three different theoretical models incorporating increasing measures of
120 st the polarization state of THz waves and a theoretical model is established to describe the relatio
128 range of experimental features, supported by theoretical modelling, it is found that the main ingredi
130 of morphology and information obtained from theoretical modeling may aid in developing an optimized
133 y of scientific disciplines commented on the theoretical model of CLimate, Aggression, and Self-contr
136 he rotational mechanism, we have developed a theoretical model of dilute photonic crystal, based on M
138 Here, we present a data-driven decision-theoretical model of feeding in Caenorhabditis elegans O
139 relevance, an experimentally tested, general theoretical model of phototaxis seems unavailable to dat
140 measure signal transduction and implement a theoretical model of signaling dynamics to predict how t
141 ng coefficient of variation estimates into a theoretical model of statistical variability, we also pr
147 These results are fully consistent with a theoretical model of valley magnetoelectricity driven by
150 lations, quantum chemistry calculations, and theoretical modeling of collective dipole interactions i
151 the electrochemical characterization and the theoretical modeling of electron traps in nanocrystallin
161 iding valuable new constraints against which theoretical models of catastrophe induction can be teste
163 Our results not only highlight the need for theoretical models of graphene to take into account this
164 w these physiological results have motivated theoretical models of how the brain selects actions, reg
171 with the presence of internal friction, and theoretical models of polymer dynamics provide a framewo
173 The late-time component is consistent with theoretical models of r-process-enriched neutron star ej
174 onization in the theta range is common among theoretical models of recollection, direct evidence supp
179 e quantitative experimental data for testing theoretical models of stability, supporting models that
182 ons correlates with beta power, in line with theoretical models of the neural instantiation of predic
186 markable field experiment has both validated theoretical models of Wolbachia population dynamics and
188 ctroscopy, Raman spectroscopy, together with theoretical modeling, on both precursor 2 and product 1,
192 een shown to precede critical transitions in theoretical models, paleo-climate time series, and in la
193 table than mutualisms among generalists, and theoretical models predict that in many mutualisms, part
194 ring in how variable they are over time, and theoretical models predict that this consistency can be
195 tal structure is supported by a perturbative theoretical model predicting the frequency band-gaps of
197 bservation is in sharp contrast with general theoretical models, predicting the initiation of intragr
202 Despite the known importance of self climb, theoretical models require a typically unknown activatio
204 absorption, hydrogen evolution kinetics and theoretical modelling reveal a non-monotonic behaviour w
228 Based on this analysis, we have created a theoretical model that captures the key features of the
232 d photon counts matched those predicted by a theoretical model that incorporated the photophysical pr
234 e distribution of products, and we develop a theoretical model that predicts many of our experimental
235 tical analysis of the data based on a recent theoretical model that predicts the amplitude of the flu
239 preted within the framework of a transparent theoretical model that starts from a well-known partial
240 a framework for researchers to identify the theoretical model that they purport to use, the antecede
241 highlight some principles from evolutionary theoretical models that can deepen our understanding of
242 esults provide empirical support for current theoretical models that emphasize the importance of gene
244 sociation fraction of 65 +/- 15%, supporting theoretical models that LMH is an atomic metallic liquid
246 results thus confirm recent predictions from theoretical models that organisms should combine relevan
248 esults provide key physiological support for theoretical models that propose feature-specific, input-
252 Therefore, TBI provides an experimental and theoretical model to examine how metastable dynamics rel
255 patial distribution of Mn(III), we propose a theoretical model to explain the structure-performance d
256 ndividual Escherichia coli cells, and used a theoretical model to identify the stochastic activity co
259 gical, and laser-dissection experiments with theoretical modeling to characterize forces driving emer
260 ve high-resolution live-cell microscopy with theoretical modeling to explore the mechanistic basis fo
261 ectroscopy, pressed-pellet conductivity, and theoretical modeling to shed light on the key factors re
262 e, we conduct both atomistic simulations and theoretical modeling to show that there in fact exists a
264 the stage for the development of overarching theoretical models to describe the photomechanics in the
265 d compare the temporal spectra with existing theoretical models to gain insights about the underlying
266 on that can be obtained by applying suitable theoretical models to the analysis of these unusually co
267 We have developed the simulation and the theoretical model together, in an iterative manner, with
270 nal epigenetic variation and briefly present theoretical models under which epimutability is expected
277 chemistries by NMR spectroscopy, a DFT-based theoretical model was developed to derive relevant inter
284 ts in conjunction with ensemble assays and a theoretical model, we present a unique case demonstratin
285 tension of liquid droplets predicted from a theoretical model, we proposed a technique to correct th
288 sing combined spectroscopic measurements and theoretical modeling, we quantitatively rationalize all
289 ion of transient absorption spectroscopy and theoretical modelling, we demonstrate that trapped holes
290 eometry in promoting condensation, and using theoretical modelling, we show how to maximize vapour di
295 compare these FQH phases with numerical and theoretical models while simultaneously controlling the
296 ly-charged monopoles) does not emerge in our theoretical model, while they are seen in experiments fo
297 We found that behavior corresponded with the theoretical model; while instantaneous threat of punishm
300 y, one property of resilience that builds on theoretical modelling work recognizing that systems clos
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