1 in anesthetized animals have questioned this
simple model.
2 show that these dynamics can appear in even
simple models.
3 wed multilevel models were a better fit than
simple models.
4 s and fitness, is not accounted for in these
simple models.
5 The
simple model according to which lesions within a single
6 Our
simple model accounts for several perceptual phenomena p
7 This
simple model accurately predicted phosphene size for a b
8 onic resonators because their inclusion in a
simple model accurately predicts the bonding/anti- bondi
9 A remarkably
simple model accurately reproduced experimental observat
10 We find that these
simple models accurately predict the activity of each ne
11 ification and product terms, and introduce a
simple modeling alternative: an augmented product term a
12 Two very
simple models amenable to analytical treatment are devel
13 policy makers, researchers, and the public a
simple model and an online tool for understanding excess
14 A
simple model and numerical simulations of mass transport
15 Finally, using a
simple model and the concentration dependence of the dif
16 Our
simple model and the general scaling for tunneling curre
17 year mortality in each condition, developing
simple models (
and a tool for calculation) of excess COV
18 the empiric pattern could be reproduced by a
simple model,
and what mean geographic distances between
19 mical processes in cells do not follow these
simple models,
and in many instances it is not possible
20 Simple model applications (Arrhenius and Q(10)) do not a
21 This
simple model applies to other organic radical-bridged dy
22 This permits a
simple-modeling approach.
23 Using
simple modeling approaches for two regions of Brazil, we
24 Brownian dynamics simulations of a
simple model are used to examine key parameters, includi
25 Here,
simple models are developed and shown to capture the key
26 velopment and to study distinct arrhythmias,
simple models are required to implement and analyze such
27 frequency tolerance could be captured with a
simple model based on a broadly coupled set of neural os
28 The results can be understood from a
simple model based on additive contributions from the me
29 According to a
simple model based on spin statistics, the injected char
30 Here, we first renew the theory with a
simple model based on the assumption that the magnetizat
31 t these adaptive responses can emerge from a
simple model based on the integration of fixed filters o
32 We found that
simple models based on a log-spaced spectrogram with app
33 Here we show that a
simple model,
based on the independent firing of key fat
34 of melatonin has been previously studied in
simple model bilayers with one or two lipid components.
35 We propose a
simple model by which conformational changes in H and R
36 Path analysis revealed that, whereas a
simple model by which the amygdala modulated the lateral
37 A relatively
simple model can predict virus inactivation rates from v
38 We find that this
simple model can readily explain many aspects of neural
39 realistically calibrated, we find that this
simple model can reproduce important aspects of our pale
40 The
simple model can reproduce qualitatively the evolution a
41 These results demonstrate how our
simple model can suggest explanations for mutant phenoty
42 Additionally, we demonstrate that
simple models can accurately predict both the nation-sta
43 categories of auditory nerve fiber in these
simple models can substantially improve prediction, part
44 and meaningless material, when combined with
simple models,
can be used to quantitatively probe the w
45 We present a
simple model capable of capturing the key feedback loop:
46 A
simple model capturing the essential features of this in
47 A
simple model co-ordinating the activity of leafy shoot t
48 d a whole-cell model of iPSC-CMs composed of
simple model components comprising ion channel models wi
49 This study highlights that even
simple models considering only shipping intensities and
50 The insights disclosed by our
simple model contribute a more intimate understanding of
51 The successful application of such a
simple model demonstrates that it is the lipid dynamics
52 Recent research on these
simple models demonstrates how microbiome composition is
53 intensity can be described via a relatively
simple model derived essentially from first principles.
54 Here we show that a
simple model developed to explain when animals decide it
55 In the cases of Ln = Ce, Pr, Nd,
simple models do not accurately predict the experimental
56 racterized in an aerobic EC system with both
simple model electrolytes and real groundwater to invest
57 ic tools and superresolution microscopy in a
simple model epithelial cell line to define how the mole
58 Here we propose a
simple model,
exclusively based on topological arguments
59 chanism has been hard to dissect because few
simple models exist, and known clock proteins are not co
60 Varying adaptation in a
simple model explained these heterogeneities and predict
61 Thus, a
simple model explains how SpoIIE responds to a stochasti
62 When
simple models fail, the complex diffusion dynamics of pr
63 mulation reveal rich phase behavior for this
simple model,
featuring a broken-symmetry striped phase
64 Here, we first consider a
simple model for a single receptor (or ion channel), whi
65 In this paper we present a
simple model for assessing the willingness to pay for re
66 A
simple model for biased partitioning predicts a populati
67 We propose a
simple model for chromatin organization based on the int
68 riate fluorescent activator, is an important
simple model for efficient bioluminescent transformation
69 Here, we review these results and develop a
simple model for electrostatic catalysis that enables us
70 We propose a
simple model for engulfment in which the junction betwee
71 We present a
simple model for estimating the probability of interplan
72 The sea urchin larval skeleton offers a
simple model for formation of developmental patterns.
73 ast and slow dynamics together, we present a
simple model for how Lacrymaria samples the range of geo
74 Here, we bridge this gap by introducing a
simple model for microbial systems able to show Red Quee
75 A
simple model for necking and detachment of subducting sl
76 We demonstrate how a
simple model for networks of elastic fibers can quantita
77 ations on a TiO2 grain boundary, providing a
simple model for particle/particle interfaces.
78 and clpC, altogether suggesting a relatively
simple model for plastid retention and loss.
79 Here, we build a
simple model for TFP-driven surface motility without com
80 irely discrete system are identified using a
simple model for the movement of particles through a net
81 n the movement statistics of male rats and a
simple model for the neural responses within the ADN HD
82 These asymmetries are well captured by a
simple model for the stochastic nonlinear dynamics of th
83 This provides a
simple model for tissue regeneration, implicating cellul
84 We have developed a
simple model for virus-host cell interaction that is dri
85 ddy covariance flux towers are combined with
simple models for ecosystem carbon fluxes.
86 st adaptation and demonstrate the utility of
simple models for understanding host-microbiome dynamics
87 We present a
simple modeling framework and a series of examples that
88 A
simple modeling framework is developed here that automat
89 A
simple modeling framework is proposed that summarizes th
90 This
simple modelling framework can help countries to assess
91 elices and of structured loops, and used the
simple model-
free and extended model-free analyses to fi
92 Surprisingly, this
simple model has turned out to be incorrect, and the dom
93 th a decrease in 1-year all-cause mortality (
simple model:
hazard ratio, 0.36; P = 0.0015; complex mo
94 Simulations using this
simple model illustrate the importance of stochastic eve
95 Here, by implementing a
simple model in one and two dimensions, we compare and c
96 A
simple model in which a fraction of the pre-synaptic inp
97 We demonstrate that a
simple model in which GroEL-GroES sterically confines th
98 by Pinkevych et al. and Hill et al. of this
simple model in which multiple reactivation events can o
99 We present a
simple model in which plants can evolve to invest in a r
100 at the behavioral level can be captured by a
simple model in which stimulus and mask interact nonline
101 Our results suggest a
simple model in which the formation of large membrane-as
102 Clone dynamics were consistent with a
simple model in which the proliferative advantage confer
103 hese errors could be well accounted for by a
simple model in which the timing of movement initiation
104 This controllability provides a
simple model in which vesicle docking/priming, an intrin
105 Simple models in theoretical ecology explain many emerge
106 s are not equivalent, and raise doubts about
simple models in which intracellular Ca(2+) regulates ad
107 A
simple model incorporating stochastic colonization sugge
108 ology and demonstrate its use on a number of
simple models incorporating both normal, gamma and beta
109 We produced several
simple models inspired by the known anatomical structure
110 A
simple model involving the biocatalytic reaction network
111 Simple models involving the gradual outboard accretion o
112 This
simple model is challenged by new evidence revealing tha
113 In addition, a
simple model is derived to describe the energy density a
114 A
simple model is proposed to estimate the Pb concentratio
115 ased on the radii ratio of spinel cations, a
simple model is proposed to predict post-spinel structur
116 ring grain boundary migration for which this
simple model is silent.
117 However, their
simple model lacks an explanation for the origin of sulf
118 of RNAs with cationic peptides can generate
simple model liquid organelles capable of reversibly com
119 By a
simple model mainly based on spatial attraction and matc
120 A
simple model makes vivid the origin of this principle of
121 ngs from our modeling demonstrates that this
simple model may be used to: (i) gain a detailed underst
122 magnitude of approximately 0.01kBT/nm(2) in
simple model membrane systems.
123 Making May's
simple model more realistic is therefore unlikely to ent
124 Julian Huxley proposed an appealingly
simple model of "relative growth"-in which an organ and
125 aper proposes, under very mild conditions, a
simple model of a public goods game featuring increasing
126 lihood and machine learning, we found that a
simple model of a single admixture did not fit the empir
127 fact that this prediction can be made with a
simple model of a single capillary, omitting much biolog
128 ple proposed metabolisms for early life in a
simple model of a turbulent flow, and find that balancin
129 es an enzymatic interaction term alongside a
simple model of aggregate transneuronal damage.
130 nteractions with associated benzene rings (a
simple model of aromatic amino acid side chains) can swi
131 f a high-molecular-weight atmosphere using a
simple model of atmosphere evolution (including atmosphe
132 Our theoretical results, combined with a
simple model of bacterial diffusion and growth in agar,
133 dation of the algorithm is detailed, using a
simple model of calcium 'sparks' as a testbed.
134 n rate-limiting threshold and a conceptually
simple model of CD8(+) T cell Ag recognition, in which A
135 differentiation process is consistent with a
simple model of cell cycle-dependent stochastic priming
136 Applying a
simple model of choice behaviour to these categorical re
137 r the THCA/CBDA ratio were consistent with a
simple model of codominant alleles at a single locus, th
138 We show that a
simple model of differential equations based on chemical
139 Recent genetic evidence suggests that a
simple model of differential sensitivity to the conserve
140 t of a kinetic proofreading scheme used in a
simple model of early-time T cell signaling.
141 ate the methodology through development of a
simple model of egg-laying date evolution, parameterized
142 Using a
simple model of human adaptation, we show that these sur
143 In this study, we propose a
simple model of IDPs as associative polymers in poor sol
144 oral data are compared with the outputs of a
simple model of ILD processing with a single free parame
145 ections in the visual system, we developed a
simple model of lateral interhemispheric interactions.
146 Here we investigate a conceptually
simple model of metastasis formation where metastatic le
147 Its gastric cavity can serve as a
simple model of microbial-animal digestive associations,
148 between homophily and social influence in a
simple model of mobile agents endowed with a continuous
149 We propose a
simple model of molecular-genetic mechanisms to explain
150 This observation supports a
simple model of myosin ensembles as energy reservoirs th
151 We present a
simple model of noise in expression that results from ha
152 We consider examples of NTCP in both a
simple model of normal cells and in a model of normal an
153 we analyze the information transmitted by a
simple model of primacy coding using numerical simulatio
154 To explain this diversity, we introduce a
simple model of productivity trajectories and explore co
155 HCV genomes generally evolved according to a
simple model of random evolution where the coalescent co
156 ly evolved early in infection according to a
simple model of random sequence evolution.
157 this postulate are studied by introducing a
simple model of RBC osmotic behavior supplemented by the
158 Our
simple model of reward accumulation captures the observe
159 We devise a
simple model of selective exposure that reproduces the o
160 Here, we build a
simple model of sexual reproduction and create a theoret
161 t the structure of population responses in a
simple model of spatial and feature attention.
162 We found that a
simple model of spatial avoidance, together with attract
163 Here, we describe a
simple model of spontaneous neural dynamics that control
164 A
simple model of star formation in the spiral arms reprod
165 mistic displacements and rationalized with a
simple model of statistically distributed "constrictions
166 study the system ethanol-water-octanol as a
simple model of such kinds of ternary solutions.
167 Using a ball-in-bin model in tandem with a
simple model of taxi movements, we analytically determin
168 orporating dynamic cytokine signaling into a
simple model of Th differentiation comprehensively expla
169 w here that CPP binding to lipid bilayers, a
simple model of the cell membrane, can be recovered by d
170 Finegan et al (2019) use the
simple model of the Drosophila ovary and elongation of e
171 A
simple model of the formation and release of ROL into th
172 A
simple model of the orientation-dependent energy associa
173 that integrating this oxytocin model with a
simple model of the osmoresponsive inputs to oxytocin ce
174 Critically, a
simple model of the responses of populations of orientat
175 By constructing a
simple model of the van der Waals heterostructure, we sh
176 By fitting a
simple model of the X-ray data to simulations and optica
177 These findings can be explained by a
simple model of transcript production, with expression c
178 reach fidelities that are consistent with a
simple model of uncorrelated errors.
179 For
simple models of a mutant or pathogen invading a network
180 y to each other than would be expected under
simple models of crossover interference.
181 e the use of genetic programming to generate
simple models of dielectric breakdown based on 82 repres
182 Simple models of excitable dynamics on graphs are an eff
183 versity beyond what has been explained using
simple models of growth rate versus yield.
184 By first analyzing
simple models of influenza that incorporate a mutation l
185 On the one hand,
simple models of interacting competitors cannot produce
186 Simple models of interacting spins have an important rol
187 However, our data are not consistent with
simple models of mutation-stabilizing selection balance;
188 We apply this theory to several
simple models of population history.
189 Simple models of signal propagation in heterogenous medi
190 Here, we use
simple models of the underlying physical processes to ev
191 ndings illustrate the potential for deriving
simple models of tidewater glacier response to oceanogra
192 s, and demonstrate its application using two
simple models of vector-borne citrus pathogens.
193 We use
simple models,
on multiple scales, to investigate the se
194 We used a relatively
simple model organism bearing both facultative and const
195 atterns have thus far only been available in
simple model organisms with limited relevance to humans.
196 Using insights derived from
simple model organisms, mice, and humans we discuss how
197 Recent work has leveraged
simple model organisms, such as Caenorhabditis elegans a
198 asure of ageing remains challenging, even in
simple model organisms.
199 ined and maintained remains unclear, even in
simple model organisms.
200 association to be formed and is considered a
simple model paradigm for declarative learning.
201 While SFG studies were initially limited to
simple model peptides, the past decade has seen a dramat
202 Molecular simulations show that our
simple model predicts performance trends that are observ
203 e processes, but it is unclear whether these
simple models properly capture the complexities of multi
204 The iRDE&GC design is tested using
simple model reactions and is demonstratively used for s
205 As
simple model reactions, cycloaddition of ethylene to for
206 Thus, our
simple models reconcile the seemingly contradictory obse
207 al change of the stoichiometry; we propose a
simple model relating these structural changes to the mo
208 ide systems as accurately as can be done for
simple model RNAs.
209 show the findings practical relevance for a
simple model scenario.
210 A
simple model shows that the metabolic energy saved by th
211 ineages have focused overwhelmingly on three
simple models:
stasis, random walks, and directional evo
212 For these,
simple models such as the well-known Clark or Hill equat
213 wledge about decision-making is derived from
simple models,
such as bacteriophage lambda infection, i
214 Simple models suggest that these differences arise becau
215 nded to occur closer together in time, and a
simple model suggested that seizure pathways change on c
216 Incorporating these results into a
simple model suggests that internally-specified movement
217 Simple modelling suggests that the light stimuli used in
218 Using a new, relatively
simple model system and a new set of techniques to deliv
219 r dynamic RNAs is highly complex, even for a
simple model system such as the UUCG tetraloop.
220 In this study, a
simple model system was used to investigate the antibact
221 mans is largely based on extrapolations from
simple model systems and indirect measures of neural act
222 tand the nature of the jamming transition in
simple model systems and is currently considered very pr
223 not only for folding in vitro of relatively
simple model systems but also for chaperonin dependence
224 l evolution of the main oak ellagitannins in
simple model systems in order to understand their behavi
225 These
simple model systems not only establish a set of general
226 understanding of hydrophobic interactions in
simple model systems, but most biologically and technolo
227 After testing both methods using
simple model systems, we apply the two assays to investi
228 r DC z-scan are developed and verified using
simple model systems.
229 A
simple model taking into account the microanatomy of tis
230 In an earlier work we showed for a
simple model that a slow voltage sweep charges ultranarr
231 bution of each group to transmission using a
simple model that builds on the results from the IPM and
232 We present a
simple model that can accurately capture human performan
233 We identify a very
simple model that can fully reproduce the decoy influenc
234 In this work, we propose a
simple model that can intuitively explain this phenomeno
235 e show that these results are explained by a
simple model that combines among-individual behavioral h
236 We developed a
simple model that comprises two sources of shared variab
237 We develop a
simple model that considers the boundary layer as quasi-
238 interventional clinical trial into a fairly
simple model that converges with known biology and provi
239 ith fuel hydrogen mass content, leading to a
simple model that could be used for correcting fuel effe
240 As a proof of principle, we developed a
simple model that disentangles biological from experimen
241 We developed a
simple model that explains both dissipative and dispersi
242 We present a
simple model that explains these results.
243 vel agent will spread is evaluated here by a
simple model that includes biological and therapeutic pa
244 A
simple model that incorporates a reduced SOCE as an impo
245 xplain this scaling law theoretically with a
simple model that predicts the potential for ride sharin
246 Here, we propose a
simple model that predicts these seemingly disparate res
247 the in vitro protocol used was a robust and
simple model that provides a similar peptide profile tha
248 nning several behavioral domains, we train a
simple model that relates task-independent measurements
249 observed transport features by a relatively
simple model that relates the protein structure to its t
250 We illustrate our findings with a
simple model that shows how a seemingly minor change in
251 We construct a
simple model that shows that the optimal number of survi
252 thod suggested in this paper aims to specify
simple models that are essentially equally effective, le
253 ganized criticality is sometimes captured by
simple models that feature a critical point as an attrac
254 On the basis of this
simple model,
the extraordinary abundance of the icosahe
255 With this
simple model,
the parametric bootstrap yields an accurat
256 Even for
simple models,
the analytical approximations derived dem
257 regions was stronger than predicted using a
simple model to account for non-linearity.
258 We develop a
simple model to describe how a population of neurons cou
259 We generalize these results with a
simple model to determine what conditions dictate this f
260 We provide a
simple model to explain the observed transitions and to
261 We use a
simple model to identify combinations of range contracti
262 Here, we develop a
simple model to mechanistically explain the emergence of
263 V7 on childhood IPD and can be combined in a
simple model to provide predictions of the vaccine preve
264 olayers, as presented in this study, offer a
simple model to study and make use of this type of inter
265 We used the early Arabidopsis embryo as a
simple model to study this process.
266 sing this information, we were able to build
simple models to accurately discriminate bound and unbou
267 dependent on historical TOC concentrations,
simple models to estimate changes in surface water TOC b
268 o balance a training set from which we build
simple models to identify the receptor expression status
269 We report a
simple model,
unconnected to field theory, for a compact
270 This
simple model unifies intron definition, exon definition,
271 results indicate that MHPs do not follow the
simple models used to explain defect-mediated charge rec
272 A
simple model using only readily available, time-updated
273 In this study, we observed that a
simple model using readily available laboratory data cou
274 A
simple model was applied to demonstrate an analytical ap
275 Using this
simple model we are able to map directivity against poss
276 e filtration rate of D. grandis, and using a
simple model we can account for the filtration rates of
277 Using a
simple model we show how shunting a proportion of the tu
278 Using a
simple model we show that the changes in growth are driv
279 Based on a
simple model,
we arrive at an interesting result that lo
280 d nitrostyrene catalyzed by pyrrolidine as a
simple model,
we have studied the diastereochemical outc
281 Simple models were used to assess periods of risk in pre
282 distortions due to parallax, which occur in
simple models when a single proximal cue card is used, a
283 Our
simple model,
when expanded to complex microecological a
284 ouble binders of keeping their target with a
simple model where a polymer composed by hard spheres in
285 nding protein calmodulin and explain it in a
simple model where mechanical unfolding and ligand bindi
286 rsity, these changes could be explained by a
simple model where microstimulation has a stereotyped im
287 Such is the case, for example, in a
simple model where overlapping particles are each given
288 Fungi are
simple models,
where compatibility is based on the recog
289 A
simple model,
which accounts for such local competitive
290 A
simple model,
which faithfully recapitulates our experim
291 s on fibril disappearance are deduced from a
simple model,
which indicate that the disassembly reacti
292 We selected a
simple model with high classification accuracy and appli
293 We find that a
simple model with no enzyme coordination fails to mainta
294 A
simple model with only six parameters (the age of the un
295 m, which are quantitatively explained with a
simple model with slip length correction for Darcy flow.
296 rbations in the tandem construct supported a
simple model with the independent G domains repelled fro
297 A
simple model with this parameterization and no additiona
298 We demonstrate that a
simple model with three accumulator units, two 'Go' and
299 her show how to use this framework to create
simple models with a common mathematical lineage and tra
300 Comparing various
simple models with our results suggests that rivalry and