ライフサイエンスコーパス: modelling

1 nd-ocean systems can proceed without complex modelling.

2 radient using multilevel structural equation modelling.

3 rural residence were fitted with multilevel modelling.

4 by means of NMR and computational molecular modelling.

5 iciently quantified for predictive bottom-up modelling.

6 ideration as a component of GCS planning and modelling.

7 ted by theoretical analysis and wave-optical modelling.

8 action, transmission electron microscopy and modelling.

9 hod to analyse CNP using spatial statistical modelling.

10 tand how LULC and climate interact in future modelling.

11 currently considered in earth system/climate modelling.

12 strategy for tissue regeneration and disease modelling.

13 search, ecological research and Earth system modelling.

14 rogrammes is routinely based on mathematical modelling.

15 d and analysed using nonlinear mixed-effects modelling.

16 rcing scenarios using temperature-index melt modelling.

17 d stocks derived from complex forest harvest modelling.

18 l behaviour of chemical kinetics, capable of modelling a variety of digital and analogue processes.

19 Previous work modelling active subsidies focused on implicit space or

20 We used discrete-time survival modelling, adjusting for town-level and individual-level

21 etic parameters and data-driven mathematical modelling allowed us to obtain detailed information on t

22 Mixed Modelling and Generalised Linear Mixed Modelling analyses were conducted using SPSS version 22.

23 In controlled structural equation modelling analyses, medication adherence partly mediated

24 We used structural equation modelling analysis to estimate whether medication adhere

25 ectrophysiological recordings and multistate modelling analysis were implemented for functional analy

26 loy a combined approach of ab initio protein modelling and (13)C-direct detection NMR to generate a m

27 , using a combination of remote sensing, GIS modelling and census data.

28 cal models, correlative species distribution modelling and climate reconstruction approaches.

29 e optimization of alignments for comparative modelling and construct design.

30 erformed whole-genome sequencing, structural modelling and cytogenetic analyses of 17 different cance

31 Here, a combined modelling and experimental approach that looks into the

32 Here we use a joint mathematical modelling and experimental approach to assess the potent

33 ccessful demonstration of the combination of modelling and experimental methods to enable the discove

34 alaeogeographic reconstructions, palaeotidal modelling and facies analysis suggest that elevated tida

35 y feasible design space using finite-element modelling and found that design affects efficiency signi

36 Descriptive, Mixed Modelling and Generalised Linear Mixed Modelling analyse

37 st out our approach using earth observation, modelling and ground based sample data from the European

38 original method by including a pharmacophore modelling and information of nucleic acid properties int

39 soflavones to ERs was evaluated by molecular modelling and isothermal titration calorimetry (ITC).

40 Here we combine mathematical modelling and lab experimentation to investigate the pre

41 Consequently, this research uses biokinetics modelling and life cycle assessment philology to explore

42 enter river networks, has hindered effective modelling and management.

43 t with those predicted using continuum-level modelling and mixture theory.

44 Using pharmacokinetic-pharmacodynamic modelling and mouse-human bridging analysis, we conclude

45 Here, we use hydrodynamic modelling and multivariate statistics to show that shall

46 Molecular modelling and mutagenesis studies indicate that agonist

47 mark that it is possible to use hydrodynamic modelling and notch geometry as first-order proxies to a

48 s related to oxidative stress by 3D-homology modelling and orthologous group comparisons.

49 the capabilities of PROSPECT-MP for spectra modelling and pigment retrieval.

50 al scale is limited, mainly due to issues in modelling and projecting complex and highly heterogeneou

51 We then use structure-based modelling and quantum dynamics to guide the rational des

52 This is followed by magnetic sensors modelling and simulations using advanced Multiphysics mo

53 We used multilevel modelling and tests for interaction to investigate facto

54 Here, through climate modelling and the alignment of terrestrial, ice and mari

55 ssion, two interlinked tools-epidemiological modelling and the concept of an investment case-are bein

56 ht emerging concepts, including mathematical modelling and the molecular engineering of insulin itsel

57 ove powerful and versatile tools for disease modelling and therapeutic experimentation.

58 udy emphasises the value of PSCs for disease modelling and underlines the significance of in vitro mo

59 a best-practice approach for systematically modelling and understanding the uncertainties that can o

60 compatible both with non-parametric Bayesian modelling and with sub-symbolic methods such as neural n

61 tructive implications for carbon assessment, modelling, and management.

62 s, sampling, exposure, outcomes, statistical modelling, and parameters from articles.

63 e compared with results from ecosystem niche modelling, and showed that 80% of tagged whale positions

64 ple junctions in graphene using a multiscale modelling approach based on combining the phase field cr

65 stimated at each current age using a 2-stage modelling approach that accounted for both age at transp

66 We use a mathematical modelling approach to estimate the impact of PMI investm

67 A modelling approach was developed to better understand th

68 Using a modelling approach we show that increasing levels of hom

69 Our modelling approach, which links individual- and populati

70 ons or shifting weather seasons, traditional modelling approaches may not yield adequate predictive s

71 authors show using behavioural, imaging and modelling approaches that gaze orientation during photot

72 potential of time-series-based sampling and modelling approaches to elucidate multiple dimensions of

73 an implementation of five popular cell-based modelling approaches within a consistent computational f

74 hes to zero differ for different demographic modelling approaches.

75 exemplifying the importance of mathematical modelling approaches.

76 s when compared to published pathway network modelling approaches.

77 f the nonbreeding section of populations and modelling appropriate demographic structuring is therefo

78 Dietary assessment and modelling are required to monitor efficacy and safety of

79 iosensor techniques from both simulation and modelling as well as analytical and numerical analysis p

80 y-dependence under eight out of nine sets of modelling assumptions.

81 in one particular organism, our approach to modelling axon growth is general and can be widely appli

82 in the research fields of genetics, disease modelling, biomarkers, and therapeutic strategies.

83 sensory and partial least squares regression modelling can help unravel interactions to identify grou

84 Here we show atomistic, coarse-grained modelling combined with advanced simulation approaches t

85 We employ our modelling concept to analyse calcium spike sequences fro

86 The very limited evidence found on modelling cost-effectiveness suggested that VIT was like

87 uch as genomics, radiomics, and mathematical modelling-could open new doors to personalised radiother

88 Diffusive-advection modelling demonstrates that low chloride concentrations

89 The modelling demonstrates the advantages of CED in enhancin

90 ate this using three-dimensional phase field modelling, demonstrating how phase morphology affects th

91 hat primary sequence analysis and structural modelling do not readily explain why NasA, NarK1 and Nar

92 g spectroscopic measurements and theoretical modelling, Draguta and Sharia et al. quantitatively rati

93 Here we combine modelling, electrophysiological and behavioural studies

94 iding a wealth of modern and fossil data for modelling environmental drivers of diversification.

95 A subsequent modelling exercise revealed that residents should have 6

96 Modelling experiments imply that this asymmetry is cause

97 Here, we propose a modelling framework that allows us to quantitatively des

98 ies persistence in food webs, we introduce a modelling framework that describes the site occupancy of

99 mains, we establish an authentic data-driven modelling framework to simulate zebrafish swimming in th

100 served, provide a biologically interpretable modelling framework, integrating gene expression and gen

101 cent statistical theory in a sparse Bayesian modelling framework.

102 Brain network modelling goes beyond correlational neuroimaging analysi

103 ranging from ecosystem-level to demographic modelling, grounded in observational or experimental dat

104 pluripotent stem cells and holds promise for modelling haematopoietic disease in humanized mice and f

105 Previous modelling has assumed a homogeneously-mixed population o

106 Mathematical modelling has become an established tool for studying th

107 dual approach of global analysis and target modelling has been used to elucidate kinetic description

108 Computational modelling has the potential to aid this process as it is

109 s made them challenging to study, theory and modelling have now reached the stage at which we can exp

110 High-throughput sequencing and mathematical modelling have yielded detailed genome-wide replication

111 Using an in vitro system and modelling, here the authors show that local actin monome

112 incorporate epigenetic biomarkers, in silico modelling, high-performance computing and high-resolutio

113 Zebrafish are used in modelling human diseases; however, its synapse proteome

114 ant implications for the use of zebrafish in modelling human synaptic diseases.

115 Lake et al. argue persuasively that modelling human-like intelligence requires flexible, com

116 act on ice flow, and present a challenge for modelling ice-sheet evolution and projecting global sea-

117 Logistic prediction modelling identified a set of 8 biomarkers that can iden

118 Mutations and molecular modelling identified an allosteric binding site that for

119 Boolean network modelling identifies a mandatory switch between two stab

120 Paleo-climate records and geodynamic modelling indicate the existence of complex interactions

121 Our modelling indicates that downstream genes embedded withi

122 Theoretical modelling indicates that this is due to nonadiabatic dri

123 Mathematical modelling indicates that tumour spatial structure amplif

124 Moreover, this modelling indicates whether alternative refolding pathwa

125 ew statistical framework for mechanistically modelling individual-to-individual disease transmission

126 hese benefits in collaboration with the risk modelling industry is crucial for assessing risk accurat

127 ated with the results of recent simulations, modelling injection of magmatic fluids in the Campi Fleg

128 Two approaches to modelling interfaces are analysed, one based on the spin

129 We present a hybrid approach for modelling invasions of populations with two sexes that l

130 erimental features, supported by theoretical modelling, it is found that the main ingredients for the

131 ggest the importance of trophic coherence in modelling local preying patterns in food webs.

132 n5a+/DeltaKPQ genotype in anaesthetised mice modelling LQTS3 on ECG phenotypes before and following b

133 sed on an ensemble of three ecological niche modelling methods, and evaluated the performance of mode

134 nhibitory spike-timing dependent plasticity (modelling non-associative plasticity by exposure to diff

135 By additionally modelling octopaminergic modification of synaptic plasti

136 parameters and necessary assumptions in the modelling of a complex epidemiological process.

137 ms immunology approaches combining in silico modelling of a reconstructed gene regulatory network (GR

138 concept, this approach shows that stochastic modelling of a specific immune networks renders transcri

139 rinciple the utility of induced neuron-based modelling of Alzheimer's disease for therapeutic discove

140 nd older adults, and combining computational modelling of behaviour, fMRI and PET measurements of DA

141 electron microscopy, combined with numerical modelling of capsid diffusion to analyse the molecular o

142 e recorded to be >93% using Soft Independent Modelling of Class Analogy approach.

143 d-infrared spectroscopy and soft independent modelling of class analogy technique.

144 Modelling of complex natural ecological systems has allo

145 Mixture modelling of country-level effects suggested three clust

146 , we consider randomness in the mathematical modelling of forest trees by incorporating uncertainty t

147 study may also be important for the accurate modelling of grid cells.

148 Random walk modelling of herpes simplex virus 1-sized particles in a

149 ress this challenge through the analysis and modelling of human brain voltage activity recorded simul

150 Integrated modelling of intracellular Mtb killing alongside convent

151 es for LCA that integrate spatially explicit modelling of land change and ecosystem services in a Lan

152 ng population genetics with ecological niche modelling of Litsea auriculata (Lauraceae), which is end

153 rily been performed using maximum likelihood modelling of observations.

154 n and could be more widely applicable to the modelling of other complex systems.

155 We show that modelling of reheating increases the precision of determ

156 Quantitative analysis and theoretical modelling of spatial variations in the movie provide ins

157 n community ecology, we propose Hierarchical Modelling of Species Communities (HMSC) as a general, fl

158 This suggests that modelling of such nanowire devices will require 1D model

159 Partial least squares (PLS) modelling of the anti-trypanosomal activity of the sampl

160 CLPP) technique is proposed which allows the modelling of the continuous nature of the produced in-ho

161 Here, using phase equilibria modelling of the Coucal basalts, we confirm their suitab

162 hile the cost can often be inferred, forward modelling of the effect of different intervention option

163 Modelling of the electron flow in N. europaea demonstrat

164 el oxygen-regulated genes and highlighted re-modelling of the electron transport chains.

165 Computational modelling of the heart tube during development reveals t

166 s using a Bayesian approach, perform forward modelling of the likely results of the proposed interven

167 Using molecular modelling of the M2 receptor we found that E172 and E175

168 Molecular modelling of the seven SPTAN1 amino acid changes provide

169 Modelling of the temperature dependence of the DBMP-bind

170 Our results demonstrate that efficient modelling of X-ray-driven processes in complex systems a

171 rameters can be obtained, then bioenergetics modelling offers an alternative approach to estimating p

172 We used structural equation modelling on 341 older adults to establish three latent

173 g applications such as geological subsurface modelling or biomedical tissue analysis.

174 The symposium, entitled 'Organoids: modelling organ development and disease in 3D culture',

175 Scale scores in surface-based general linear modelling (P < 0.05).

176 years that consider the influence of various modelling parameters, including material properties, a w

177 In constraint-based metabolic modelling, physical and biochemical constraints define a

178 determined via remote sensing and inversion modelling, pointing to a major gap in our understanding

179 Structural modelling points towards two plausible and distinct mech

180 Metabolic modelling predicted an aerobic heterotrophic lifestyle f

181 ibited efflux in P. mirabilis, and molecular modelling predicted both drugs interact strongly with th

182 Mathematical modelling predicted that ecDNA amplification would incre

183 Mathematical modelling predicted that tubular Na(+) reabsorption decr

184 Mathematical modelling predicted that tubular Na(+) reabsorption incr

185 Modelling predicted the NOR gates have effectively zero

186 A mismatch between modelling predictions and the experimental results allow

187 through changes in expression of key Ca(2+) modelling protein densities, is drastically reduced foll

188 Hierarchical Bayesian modelling provides a framework to make statistical infer

189 Combining a PDB analysis with molecular modelling provides a rational explanation, demonstrating

190 arbitrary delayed cell-death) as a means of modelling radiation-induced cell death.

191 ualitatively different: our experimental and modelling results establish that, under these conditions

192 The modelling results fully match the experimental measureme

193 Therefore, our experimental and modelling results indicate that ArnS plays an essential

194 Agent-based and deterministic modelling reveal that our system can be adjusted to yiel

195 d biochemical analyses as well as structural modelling revealed that two mutations disrupt intramolec

196 independent tool-sets such as reduced order modelling (ROM) and ensemble kinetic simulation (EKS).

197 CT and MRI) and the simulation of different modelling scenarios (e.g. with/without thrombus).

198 e. effect size) and used structural equation modelling (SEM) to achieve a system-level understanding

199 Experimental data and analytical modelling show that myosin-II-dependent force anisotropy

200 cal characterizations aided by computational modelling show that the polymer network formed in the cy

201 Multivariate Cox modelling showed that HALT-HCC was significantly associa

202 Our novel use of Bayesian demographic modelling shows that native insect herbivores consistent

203 Theoretical modelling shows that the matter that is expelled in the

204 and simulations using advanced Multiphysics modelling software (e.g. Finite Element Method (FEM) etc

205 Using a combination of mathematical modelling, statistical simulation and large-scale data a

206 d cryo-electron microscopy data, and enables modelling structure and dynamics of individual proteins,

207 Modelling studies have hypothesized that this variation

208 Modelling studies have, however, so far reached no conse

209 Bioinformatics and structural modelling studies indicate that the accumulation of posi

210 Modelling studies of the present and future effects of a

211 tative, two mixed methods, four mathematical modelling studies, and no randomised controlled trials.

212 In this modelling study and economic evaluation, we calibrated a

213 We found one economic modelling study for venom allergy which, despite being b

214 We undertook an economic modelling study from the patient perspective to compare

215 Our modelling study used cross-sectional data on treatment f

216 similar manner to that simulated in a recent modelling study, driven by MICI.

217 /gamma-CD-IC (2:1) was higher, as shown by a modelling study.

218 Results of temperature modelling suggest limited impact of short-term warming o

219 Recent epidemiological modelling suggests that cross-immunity between RSV, HMPV

220 Mathematical modelling suggests that faster dopamine-induced T-B-cell

221 Protein homology modelling suggests that four amino acid substitutions in

222 Ab initio modelling suggests that it has negative stacking-fault e

223 Structural modelling suggests that K265 interacts with D590 and Q63

224 INTERPRETATION: Simulation modelling suggests that the triple-drug regimen has pote

225 Earth-system and ice-sheet modelling suggests these contrasting trends were likely

226 lassification, segmentation, and statistical modelling system was developed to guide colony selection

227 to support basic research, genome analysis, modelling, systems biology and education.

228 ing compartmentalized systems needs reliable modelling/systems frameworks.

229 ilar to sarcomas generated with conventional modelling techniques and suggest that CRISPR-Cas9 can be

230 All modelling that includes major aboveground and belowgroun

231 To project future change requires modelling that includes robust parameterisation of basal

232 oplet activation, we show by observation and modelling that incorporation of phase-separation effects

233 se of tumours exposed to ionizing radiation, modelling the alteration of oxygen permeabilization in b

234 Here, by statistically modelling the current and future distributions of four m

235 relatively little attention has been paid to modelling the differential expression of genes along suc

236 ffects of mechanical strain on cell shape by modelling the mechanical strains caused by bending and d

237 logistic function was successfully used for modelling the oxidation curve of liposomes.

238 examination of current practice and context, modelling the process and expected outcomes leading to f

239 By modelling the production of multiple products from inter

240 By modelling the superlattice nanolasers with a four-level

241 transport mechanism should be discernible by modelling the transport like a semiconductor with a tran

242 in both mechanistic and correlative disease modelling, the data driving these models, the vectors an

243 may be from patients being motivated by, and modelling, the visible healthy lifestyle of the nurse or

244 smission spectrum, together with atmospheric modelling, then gives clues to the properties of the exo

245 for mechanistic biological research, disease modelling, therapeutic target identification, drug testi

246 wide data, allowing for imputed genotypes by modelling time to event outcomes under a dosage model.

247 lecular genetics and demographic and spatial modelling to analyse between-year survival of family lin

248 We used network-based modelling to analyse the effect of this strategy in HCV-

249 We used generalised linear modelling to assess FeNO as a predictor of response, est

250 ain pastoralists, we use 'flow accumulation' modelling to calculate the annual routes of nomadic soci

251 mmal abundances, and use structural equation modelling to compare competing trophic cascade hypothese

252 generalized linear least-squares regression modelling to components of the multiproxy data, we addre

253 We used Random Forests modelling to demonstrate that the site and salinity of a

254 We aimed to use biostatistical modelling to describe the dynamics of Ebola virus RNA lo

255 clear and plastid genomes with computational modelling to design the engineering strategy and to unde

256 iant of survival analysis known as cure rate modelling to differentiate factors that influence redisc

257 We use multi-event capture-recapture modelling to estimate crucial demographic parameters, in

258 stems has led ecologists to use mathematical modelling to gain understanding of ecological relationsh

259 use simultaneous EEG-fMRI and computational modelling to identify EEG signals reflecting an accumula

260 cross-sectional anatomy and 3D physiological modelling to investigate how embolisms spread throughout

261 (kelp and sea urchins), we use oceanographic modelling to predict how continental boundary currents a

262 logistic regression and structural equation modelling to show pathways and mediators.

263 We used whole-brain computational modelling to study the differences in global brain funct

264 We used structural equation modelling to test the importance of direct and indirect

265 ery little experimental work or quantitative modelling to test the validity of these hypotheses.

266 Therefore, we recommend species-specific modelling to understand how LULC and climate interact in

267 We used consensus modelling to understand how to optimise the effects of m

268 ng, 3D-electron microscopy, and mathematical modelling) to show that phloem unloading of solutes in A

269 lescent simulations and species distribution modelling, to investigate how two common cold-adapted bi

270 Both epidemiological data and modelling underline the necessity of addressing latent t

271 Mathematical modelling was used to create regulatory networks based o

272 Non-linear mixed effects modelling was used to describe pharmacokinetic-occupancy

273 Finally, computational modelling was used to explain the SARs of certain key co

274 Molecular modelling was used to explore the interaction of the CD3

275 Multivariable logistic regression modelling was used to identify predictors of safe discha

276 Linear regression modelling was used to investigate the overall associatio

277 Using observations and modelling we have evaluated the energy and water exchang

278 Via homology modelling we predicted and confirmed an integral role of

279 Using in vivo experimentation and physical modelling we reveal that the extra-embryonic epithelial

280 In laboratory experiments and computer modelling we uncovered patterns of the foraging behaviou

281 Here, through measurement and analytical modelling, we advanced knowledge of these properties for

282 unoblotting, confocal imaging and structural modelling, we characterized the effects of these GABRG2

283 reviously determined structures and homology modelling, we derive a pseudo-atomic structure of the fu

284 electron microscopy observations and theory modelling, we show that the dislocations are highly acti

285 mages is estimated by first using stochastic modelling where the locations of clusters in the images

286 We used causal forest modelling, which identifies HTEs, using a random half of

287 time-series datasets and improved stochastic modelling will help to explore their importance for topi

288 To do so, we coupled structural equation modelling with 20 years of mark-recapture and nesting da

289 Connectome modelling with 43 network parameters failed to reliably

290 between-trial variance we used mixed-effects modelling with a random effect for trials incorporated i

291 he only extensive data-set for dose response modelling with a variety of particle types (>4), for the

292 We combined mathematical modelling with experiments in heart cells from guinea pi

293 cartilage by combining musculoskeletal (MS) modelling with finite element (FE) analysis.

294 We coupled ecological niche modelling with simulations of potential dispersal and de

295 method that combines mechanistic stochastic modelling with the powerful methods of non-parametric re

296 ortality risk was explained by multivariable modelling with these variables; however, the remainder w

297 th severity of disease by generalised linear modelling, with and without adjustment for age, sex, dia

298 lems, such as materials design and molecular modelling, with the ultimate limit being a universal qua

299 antified and compared to toxicity prediction modelling without utilizing radiosensitivity information

300 For the primary endpoint, multilevel modelling yielded significantly higher average pain inte