ライフサイエンスコーパス: simple model

1 in anesthetized animals have questioned this simple model.

2 Recent analyses argue against this simple model.

3 wed multilevel models were a better fit than simple models.

4 show that these dynamics can appear in even simple models.

5 ological process that cannot be explained by simple models.

6 The simple model according to which lesions within a single

7 Our simple model accounts for several perceptual phenomena p

8 This simple model accurately predicted phosphene size for a b

9 onic resonators because their inclusion in a simple model accurately predicts the bonding/anti- bondi

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 templation effects were rationalized using a simple model and confirmed using competitive NMR titrati

14 A simple model and numerical simulations of mass transport

15 y underlying channel expression, we derive a simple model and show how it encodes an "activity set po

16 Finally, using a simple model and the concentration dependence of the dif

17 Our simple model and the general scaling for tunneling curre

18 of pursuit dynamics within one coherent and simple model and without switching between different par

19 neralities in trophic organization, produced simple models, and allowed assessment of robustness to s

20 mical processes in cells do not follow these simple models, and in many instances it is not possible

21 exhibit folding behavior that is amenable to simple models, and validate the use of diffusion-correct

22 Here we propose a simple modelling approach to quantitatively describe the

23 This permits a simple-modeling approach.

24 Using simple modeling approaches for two regions of Brazil, we

25 Brownian dynamics simulations of a simple model are used to examine key parameters, includi

26 Here, simple models are developed and shown to capture the key

27 velopment and to study distinct arrhythmias, simple models are required to implement and analyze such

28 frequency tolerance could be captured with a simple model based on a broadly coupled set of neural os

29 The results can be understood from a simple model based on additive contributions from the me

30 A simple model based on signal detection theory demonstrat

31 Here, we first renew the theory with a simple model based on the assumption that the magnetizat

32 A simple model based on the dialanine peptide is shown to

33 Simple models based on crystal structures of nNOS reduct

34 Here we show that a simple model, based on the independent firing of key fat

35 clude that these correlations are useful for simple model building but encourage the use of modern st

36 We propose a simple model by which conformational changes in H and R

37 Path analysis revealed that, whereas a simple model by which the amygdala modulated the lateral

38 A relatively simple model can predict virus inactivation rates from v

39 We find that this simple model can readily explain many aspects of neural

40 realistically calibrated, we find that this simple model can reproduce important aspects of our pale

41 The simple model can reproduce qualitatively the evolution a

42 At high signal-to-noise ratios, our simple model captures the relevant physics while remaini

43 A simple model capturing the essential features of this in

44 A simple model co-ordinating the activity of leafy shoot t

45 This study highlights that even simple models considering only shipping intensities and

46 The insights disclosed by our simple model contribute a more intimate understanding of

47 Simple models demonstrate that concentration-additive co

48 The successful application of such a simple model demonstrates that it is the lipid dynamics

49 I develop a simple model demonstrating how the opportunity for selec

50 intensity can be described via a relatively simple model derived essentially from first principles.

51 ns is required for nNOS catalysis beyond the simple models derived from static crystal structures of

52 In the cases of Ln = Ce, Pr, Nd, simple models do not accurately predict the experimental

53 Contrary to most existing models, this simple model does not require the consideration of surfa

54 racterized in an aerobic EC system with both simple model electrolytes and real groundwater to invest

55 ic tools and superresolution microscopy in a simple model epithelial cell line to define how the mole

56 Here we propose a simple model, exclusively based on topological arguments

57 chanism has been hard to dissect because few simple models exist, and known clock proteins are not co

58 Varying adaptation in a simple model explained these heterogeneities and predict

59 Thus, a simple model explains how SpoIIE responds to a stochasti

60 When simple models fail, the complex diffusion dynamics of pr

61 For binary mixtures, simple models failed to accurately segment the individua

62 A simple model for a chemically driven molecular walker sh

63 Here, we first consider a simple model for a single receptor (or ion channel), whi

64 A simple model for biased partitioning predicts a populati

65 riate fluorescent activator, is an important simple model for efficient bioluminescent transformation

66 Here, we review these results and develop a simple model for electrostatic catalysis that enables us

67 We propose a simple model for engulfment in which the junction betwee

68 We present a simple model for estimating the probability of interplan

69 The sea urchin larval skeleton offers a simple model for formation of developmental patterns.

70 We propose a simple model for genetic adaptation to a changing enviro

71 variations are shown to be consistent with a simple model for hydrogen bonding in water that takes in

72 Here, we bridge this gap by introducing a simple model for microbial systems able to show Red Quee

73 A simple model for necking and detachment of subducting sl

74 We demonstrate how a simple model for networks of elastic fibers can quantita

75 Catechol was chosen as a simple model for organics in aerosols.

76 ations on a TiO2 grain boundary, providing a simple model for particle/particle interfaces.

77 and clpC, altogether suggesting a relatively simple model for plastid retention and loss.

78 omparison of simulations, experiments, and a simple model for power dissipation allows us to estimate

79 CDK-phosphorylated substrates, suggesting a simple model for PP2A-B55 regulation that we call inhibi

80 ty over a 1 h monitoring time, and provide a simple model for predicting its performance at different

81 has been hampered by lack of an accurate-yet-simple model for predicting yields, product compositions

82 A simple model for spindle length regulation requires bala

83 Here, we build a simple model for TFP-driven surface motility without com

84 rse-grained simulations, we have developed a simple model for the binding and insertion process for t

85 A simple model for the charge separation step is also give

86 We describe a simple model for the competition between two such microb

87 Here, we demonstrate how a simple model for the energy budget (DEBkiss) can be used

88 To address this neglect, here we propose a simple model for the energy demands of brain functional

89 Our results suggest a simple model for the mitotic inheritance of the heteroch

90 irely discrete system are identified using a simple model for the movement of particles through a net

91 This provides a simple model for tissue regeneration, implicating cellul

92 These quantitative results lead to a simple model for vacuole size scaling based on proportio

93 ddy covariance flux towers are combined with simple models for ecosystem carbon fluxes.

94 en multiple bonds are of current interest as simple models for new actinide nitride nuclear fuels, an

95 Picornaviruses are simple models for such viruses, and initiate this uncoat

96 A simple modeling framework is developed here that automat

97 A simple modeling framework is proposed that summarizes th

98 A simple modelling framework was developed to investigate

99 elices and of structured loops, and used the simple model-free and extended model-free analyses to fi

100 we show that this can be accomplished with a simple, model-free transformation that is general enough

101 th a decrease in 1-year all-cause mortality (simple model: hazard ratio, 0.36; P = 0.0015; complex mo

102 Simulations using this simple model illustrate the importance of stochastic eve

103 Here, by implementing a simple model in one and two dimensions, we compare and c

104 A simple model in which a fraction of the pre-synaptic inp

105 These data support a simple model in which different cargoes internalize thro

106 We demonstrate that a simple model in which GroEL-GroES sterically confines th

107 We present a simple model in which plants can evolve to invest in a r

108 This could be explained by a simple model in which sensory information is combined wi

109 at the behavioral level can be captured by a simple model in which stimulus and mask interact nonline

110 Our results suggest a simple model in which the formation of large membrane-as

111 The process was well described by a simple model in which the GF circuit has a higher activa

112 hese errors could be well accounted for by a simple model in which the timing of movement initiation

113 This controllability provides a simple model in which vesicle docking/priming, an intrin

114 Simple models in theoretical ecology explain many emerge

115 framework and illustrate its application to simple models, including nitrogen metabolism in Escheric

116 depressive disorder can be estimated with a simple model incorporating baseline sociodemographic and

117 A simple model incorporating stochastic colonization sugge

118 Here we use the FitzHugh-Nagumo model, a simple model inspired by the action potential that is wi

119 We produced several simple models inspired by the known anatomical structure

120 Later studies drew this simple model into question, proposing that SRP binding i

121 Simple models involving the gradual outboard accretion o

122 This simple model is challenged by new evidence revealing tha

123 In addition, a simple model is derived to describe the energy density a

124 A simple model is proposed to estimate the Pb concentratio

125 ring grain boundary migration for which this simple model is silent.

126 Through a simple model, it was possible to precisely calculate the

127 However, their simple model lacks an explanation for the origin of sulf

128 rimental fitness landscape to simulations on simple model landscapes.

129 of RNAs with cationic peptides can generate simple model liquid organelles capable of reversibly com

130 By a simple model mainly based on spatial attraction and matc

131 A simple model makes vivid the origin of this principle of

132 ngs from our modeling demonstrates that this simple model may be used to: (i) gain a detailed underst

133 lizing an artificial fluorescent lipid and a simple model membrane protein consisting of a single mem

134 magnitude of approximately 0.01kBT/nm(2) in simple model membrane systems.

135 We describe a simple model membrane template for studying protein-medi

136 With the simple model, mixing scenarios with increased amounts of

137 principle of this strategy was achieved on a simple model mixture of commercially available plant sec

138 show how a sufficiently clustered network of simple model neurons can be instantly induced into metas

139 Julian Huxley proposed an appealingly simple model of "relative growth"-in which an organ and

140 aper proposes, under very mild conditions, a simple model of a public goods game featuring increasing

141 nteractions with associated benzene rings (a simple model of aromatic amino acid side chains) can swi

142 Our theoretical results, combined with a simple model of bacterial diffusion and growth in agar,

143 dation of the algorithm is detailed, using a simple model of calcium 'sparks' as a testbed.

144 differentiation process is consistent with a simple model of cell cycle-dependent stochastic priming

145 r the THCA/CBDA ratio were consistent with a simple model of codominant alleles at a single locus, th

146 light across its surface that accords with a simple model of cone light capture.

147 Here, we extend a simple model of conscious decision-making to explain bot

148 We show that a simple model of differential equations based on chemical

149 Recent genetic evidence suggests that a simple model of differential sensitivity to the conserve

150 t of a kinetic proofreading scheme used in a simple model of early-time T cell signaling.

151 ate the methodology through development of a simple model of egg-laying date evolution, parameterized

152 Here, we consider a simple model of evolution in asexually reproducing popul

153 We use a simple model of haze extinction to explore how Titan's h

154 We show that in a simple model of homophilous networks, our biased opinion

155 oral data are compared with the outputs of a simple model of ILD processing with a single free parame

156 ections in the visual system, we developed a simple model of lateral interhemispheric interactions.

157 Its gastric cavity can serve as a simple model of microbial-animal digestive associations,

158 between homophily and social influence in a simple model of mobile agents endowed with a continuous

159 This observation supports a simple model of myosin ensembles as energy reservoirs th

160 We present a simple model of noise in expression that results from ha

161 rylation is limited to CheY, which follows a simple model of phosphodonor binding followed by phospho

162 To explain this diversity, we introduce a simple model of productivity trajectories and explore co

163 A simple model of proteomic resource allocation can quanti

164 iations are quantitatively consistent with a simple model of quantum tunneling of electrons through s

165 HCV genomes generally evolved according to a simple model of random evolution where the coalescent co

166 ly evolved early in infection according to a simple model of random sequence evolution.

167 s and mixtures in a manner consistent with a simple model of receptor-ligand interactions.

168 o density-dependent population dynamics in a simple model of seed production and recruitment.

169 We devise a simple model of selective exposure that reproduces the o

170 iffers from other methods by incorporating a simple model of sequence evolution to test the effect of

171 t the structure of population responses in a simple model of spatial and feature attention.

172 Here, we describe a simple model of spontaneous neural dynamics that control

173 mistic displacements and rationalized with a simple model of statistically distributed "constrictions

174 utrient deprivation of cells in culture as a simple model of stress, we have addressed whether LD bio

175 study the system ethanol-water-octanol as a simple model of such kinds of ternary solutions.

176 w here that CPP binding to lipid bilayers, a simple model of the cell membrane, can be recovered by d

177 A simple model of the formation and release of ROL into th

178 ven molecularly identified and we only had a simple model of the minimal requirements for the inducti

179 A simple model of the orientation-dependent energy associa

180 A simple model of the response, including contact asymmetr

181 Critically, a simple model of the responses of populations of orientat

182 By constructing a simple model of the van der Waals heterostructure, we sh

183 These findings can be explained by a simple model of transcript production, with expression c

184 reach fidelities that are consistent with a simple model of uncorrelated errors.

185 For simple models of a mutant or pathogen invading a network

186 We use simple models of competition, predation, and mutualism t

187 y to each other than would be expected under simple models of crossover interference.

188 e the use of genetic programming to generate simple models of dielectric breakdown based on 82 repres

189 on), these decisions are commonly ignored in simple models of dispersal.

190 to difficulties in constructing and applying simple models of DNA binding.

191 We incorporate simple models of elastic forces and the degradation of t

192 erplay between speciation and mutation under simple models of evolution is essential for deriving val

193 Simple models of excitable dynamics on graphs are an eff

194 By first analyzing simple models of influenza that incorporate a mutation l

195 On the one hand, simple models of interacting competitors cannot produce

196 However, our data are not consistent with simple models of mutation-stabilizing selection balance;

197 Here, we use simple models of the underlying physical processes to ev

198 Simple models of therapy for viral diseases such as hepa

199 ndings illustrate the potential for deriving simple models of tidewater glacier response to oceanogra

200 s, and demonstrate its application using two simple models of vector-borne citrus pathogens.

201 We use simple models, on multiple scales, to investigate the se

202 We used a relatively simple model organism bearing both facultative and const

203 To understand the dynamics of LD using a simple model organism, we conducted a series of comprehe

204 atterns have thus far only been available in simple model organisms with limited relevance to humans.

205 Using insights derived from simple model organisms, mice, and humans we discuss how

206 association to be formed and is considered a simple model paradigm for declarative learning.

207 We show that this simple model predicts both cell geometry and the locatio

208 Molecular simulations show that our simple model predicts performance trends that are observ

209 ion-dependent unbinding is generated by this simple model, quantitatively explaining experimental dat

210 As simple model reactions, cycloaddition of ethylene to for

211 Thus, our simple models reconcile the seemingly contradictory obse

212 al change of the stoichiometry; we propose a simple model relating these structural changes to the mo

213 Even simple models reveal a range of interesting behaviors.

214 ide systems as accurately as can be done for simple model RNAs.

215 show the findings practical relevance for a simple model scenario.

216 A simple model shows that the metabolic energy saved by th

217 ineages have focused overwhelmingly on three simple models: stasis, random walks, and directional evo

218 Simple models suggest that these differences arise becau

219 Incorporating these results into a simple model suggests that internally-specified movement

220 Simple modelling suggests that the light stimuli used in

221 Using a new, relatively simple model system and a new set of techniques to deliv

222 trol in Chlamydomonas reinhardtii provides a simple model system in which to investigate the general

223 NiO was chosen as a simple model system.

224 tand the nature of the jamming transition in simple model systems and is currently considered very pr

225 lighted the importance of facilitation using simple model systems composed of spherical particles.

226 understanding of hydrophobic interactions in simple model systems, but most biologically and technolo

227 In simple model systems, CB1R is desensitized by GRK phosph

228 We develop a simple model that accounts for our data; this descriptio

229 eneration intensity, which is described by a simple model that accounts for the interferences of the

230 e-layer capacitance of the interface using a simple model that also yields a value for the interchain

231 bution of each group to transmission using a simple model that builds on the results from the IPM and

232 We propose a simple model that can give rise to both exponential and

233 We developed a simple model that comprises two sources of shared variab

234 interventional clinical trial into a fairly simple model that converges with known biology and provi

235 ith fuel hydrogen mass content, leading to a simple model that could be used for correcting fuel effe

236 We developed a simple model that explains both dissipative and dispersi

237 We present a simple model that explains these results.

238 We offer a simple model that formalizes this long-standing hypothes

239 vel agent will spread is evaluated here by a simple model that includes biological and therapeutic pa

240 A simple model that incorporates a reduced SOCE as an impo

241 Topological augmentation starts from a simple model that is unable to explain the experimental

242 We developed a simple model that predicts risk for in-hospital adverse

243 xplain this scaling law theoretically with a simple model that predicts the potential for ride sharin

244 nning several behavioral domains, we train a simple model that relates task-independent measurements

245 observed transport features by a relatively simple model that relates the protein structure to its t

246 We have developed a simple model that shows exfoliation to occur once the lo

247 We illustrate our findings with a simple model that shows how a seemingly minor change in

248 We also propose a simple model that, by correctly capturing the trophic co

249 thod suggested in this paper aims to specify simple models that are essentially equally effective, le

250 ent with quantum chemical computation, using simple models that are part of the fabric of organic che

251 On the basis of this simple model, the extraordinary abundance of the icosahe

252 With this simple model, the parametric bootstrap yields an accurat

253 epleted chromatin can be well-fitted using a simple model-the Maxwell fluid-for the complex modulus,

254 Carriage data can be used in this simple model to estimate post-PCV changes in IPD inciden

255 We provide a simple model to explain the observed transitions and to

256 e transforming DNA and allow us to propose a simple model to explain the origin of the poorly underst

257 We use a simple model to identify combinations of range contracti

258 Our findings establish a simple model to investigate how cell context influences

259 Here, we develop a simple model to mechanistically explain the emergence of

260 We also provide a simple model to predict the difference between the colli

261 V7 on childhood IPD and can be combined in a simple model to provide predictions of the vaccine preve

262 olayers, as presented in this study, offer a simple model to study and make use of this type of inter

263 ent planning of sequential saccades offers a simple model to study the nature of visuomotor transform

264 dependent on historical TOC concentrations, simple models to estimate changes in surface water TOC b

265 can use the homogeneous IDE as a relatively simple modelling tool--in terms of both measuring parame

266 We report a simple model, unconnected to field theory, for a compact

267 A simple model was used to obtain insights into the relati

268 e filtration rate of D. grandis, and using a simple model we can account for the filtration rates of

269 Using a simple model we show how shunting a proportion of the tu

270 Based on a simple model, we arrive at an interesting result that lo

271 Using a simple model, we found that RNA and protein expression w

272 d nitrostyrene catalyzed by pyrrolidine as a simple model, we have studied the diastereochemical outc

273 Simple models were used to assess periods of risk in pre

274 Various unit-level associations (simple models) were identified between nurse practice en

275 distortions due to parallax, which occur in simple models when a single proximal cue card is used, a

276 Our simple model, when expanded to complex microecological a

277 ouble binders of keeping their target with a simple model where a polymer composed by hard spheres in

278 Our results suggest a simple model where backbone modifications and Schiff bas

279 nding protein calmodulin and explain it in a simple model where mechanical unfolding and ligand bindi

280 Such is the case, for example, in a simple model where overlapping particles are each given

281 To explain this behavior we propose a simple model, where fibrils come in two forms, one built

282 Fungi are simple models, where compatibility is based on the recog

283 Previous studies have mainly focused on very simple models, where the receptive fields of neurons wer

284 These effects, however, are reconciled by a simple model whereby V1 neurons summate LGN inputs with

285 A simple model, which accounts for such local competitive

286 Using a simple model, which assumes a single exponential autocor

287 s on fibril disappearance are deduced from a simple model, which indicate that the disassembly reacti

288 We use our simple model, which requires no prior knowledge of the p

289 cal approach that considers a broad class of simple models, which are sufficiently constrained by obs

290 ads to high blood alcohol levels; thus, this simple model will be very useful for the study of alcoho

291 We selected a simple model with high classification accuracy and appli

292 We find that a simple model with no enzyme coordination fails to mainta

293 A simple model with only six parameters (the age of the un

294 m, which are quantitatively explained with a simple model with slip length correction for Darcy flow.

295 rbations in the tandem construct supported a simple model with the independent G domains repelled fro

296 A simple model with this parameterization and no additiona

297 We demonstrate that a simple model with three accumulator units, two 'Go' and

298 Here, we use a simple model with unsaturated reactants to show that spe

299 We resolved this by constructing a simple model with values for the start, peak, and durati

300 her show how to use this framework to create simple models with a common mathematical lineage and tra