ライフサイエンスコーパス: model based on

1 om liquid-to-skin is describable by a single model based on (1) virus concentration and (2) volume of

2 Then, a kinetic model based on a bivalent ligation suggested that the re

3 cy tolerance could be captured with a simple model based on a broadly coupled set of neural oscillato

4 We developed an integrative model based on a CD reference gene set.

5 ictive models per binning configuration: one model based on a combination of in vivo, ex vivo, and cl

6 ng step is the deprotonation reaction, and a model based on a deprotonative dynamic resolution has be

7 e predicted by docking against a comparative model based on a eukaryotic homologue.

8 n the 3FD-IL nanosheets support a structural model based on a honeycomb lattice, in which the length

9 We propose a new QSRR model based on a Kernel-based partial least-squares meth

10 A model based on a mechanism analogous to the ovalization

11 A model based on a putative feedforward loop orchestrated

12 xpression in OP and present a new OP working model based on a single miRNA deficiency in diet-induced

13 mpared with previous approaches such as DRME model based on a statistical test covering the IP sample

14 easonal timescales using a dynamic recycling model, based on a Lagrangian trajectory approach applied

15 pose a mechanism, supported by computational modeling, based on a redox couple of Au(I)-Au(III) speci

16 ureREDUCE) for building sequence-to-affinity models based on a biophysically interpretable and extens

17 ic regression was used to develop predictive models based on a first level recalibration of the origi

18 eech sound into meaningful language, we used models based on a hierarchical set of speech features to

19 ome pathological dependencies that undermine models based on a hierarchical stem/progenitor organizat

20 approach is aided by simplified quantitative models based on a single rate-limiting step.

21 counted for in bimolecular electron transfer models based on a spherical diffusion-reaction approach.

22 The results can be understood from a simple model based on additive contributions from the membrane

23 ical models, largely in twins, and Mendelian models, based on advancing molecular techniques.

24 ed disease, we built a novel risk assessment model-based on age and SD OCT segmentation, drusen chara

25 We developed linear models based on age, climate and previous growth to fore

26 eoperative laboratory variables, and generic models (based on all of the data from 9 surgical special

27 ations were performed using an A1AR homology model based on an agonist-bound A2AAR structure.

28 re we present a theoretical and mathematical model based on an extension of evolutionary game theory

29 We have established a Caenorhabditis elegans model, based on an impaired glyoxalase (glod-4/GLO1), to

30 -EM flexible fitting, and transition pathway modeling) based on an active-state cryo-EM map.

31 We constructed a Markov model based on anal histology in HIV-positive MSM compar

32 hese observations suggest that bioinformatic models based on arbitrarily selected sets of physical pr

33 This paper proposes a model based on archaeological and ethnographic research

34 re integrated into a high-precision Bayesian model based on archaeological evidence to securely recon

35 We propose a cell-based CE model based on asymmetric filopodial tension forces betw

36 imes and formulated a reinforcement learning model based on belief states.

37 t frameworks, we believe that a more nuanced model based on Bloom's taxonomy is better suited to EHL

38 ound that Cox proportional hazard regression models based on both data types together provided greate

39 me-series classification and regression tree models based on BSI were used to develop a predictive mo

40 We therefore developed a computational model based on cellular signaling interactions that pred

41 erion, these models were inferior to the new model based on changes in co-receptor expression.

42 observations are explained with a numerical model based on charge transport of photoexcited carriers

43 om these simulations was used to constrain a model based on classical Marcus theory, which provided p

44 man primate (NHP) radiation-induced cachexia model based on clinical and molecular pathology findings

45 A model based on clinical baseline variables could not ach

46 ating higher accuracy) and compared with Cox models based on clinical (age and Karnofsky performance

47 A model based on CMR-LVEF </=35% or CMR-LVEF </=35% plus l

48 h fluids is consistent with predictions of a model based on competing actions of elastic and magnetic

49 s the assumptions of conventional multimotor models based on consecutive motor detachment.

50 ntation builds on forming dynamic distractor models, based on continuous integration of distractor-re

51 quickly and accurately infer Ising or Potts models based on correlation data.

52 ring studies of sTie2 dimers in solution and modeling based on crystal structures, we suggest that An

53 In particular, we construct homology models based on crystallographic structures of the aspar

54 We used lagged individual fixed-effects models based on data from 9,068 persons aged >/=50 years

55 ory predicted through a partial least square model based on DeltaK, hydroxytyrosol, pinoresinol, oleu

56 lly, the diagnostic accuracy of a regression model based on dentate gyrus mean diffusivity reached 85

57 A mechanistic model based on detailed photophysical and isomerization

58 Molecular modeling based on DFT calculations shed light on the nat

59 r knowledge, a region-specific global health model based on dietary and weight-related risk factors w

60 omata models can be used even in cases where models based on differential equations are not applicabl

61 namics over space and time, whereas existing models based on differential equations average over spac

62 Finally, an analytical model based on diffusion theory has been presented to ex

63 Mathematical models based on direct fitness calculations may be able

64 We developed a quantitative model based on DLVO theory to demonstrate that this tran

65 r DNA binding, and the effect of alternative models based on DNA shape remains unexplored.

66 provides clear support for a microallopatric model based on ecological conditions.

67 The mechanistic statistical model based on ecological diffusion led to important eco

68 Here we use empirical models based on eddy covariance data and process-based m

69 ividually evaluating 82 potential regression models based on EF(a) or EF(b) for global, temperate zon

70 We develop an analytical model based on effective medium theory able to capture t

71 The reference model, based on eight clinical variables and a penalised

72 e feasibility of deformable, motion-coherent modeling based on electrocardiography-gated multidetecto

73 A model based on electron-microscopic reconstructions of t

74 ously and discuss the parametrization of the model based on empirical data.

75 Here, we used a dynamical model based on empirical energy budget data to assess ch

76 ng the creation of a hydrodynamic conceptual model based on established ecological theories.

77 In addition, a binning-independent model based on ex vivo and patient information only (M36

78 The reduced models based on exact QSS, which can be calculated by th

79 ve migration, we generated a Boolean logical model based on existing network pathways/models, where e

80 an be implemented immediately to improve LCA models based on existing approaches in the literature.

81 x, we generated a comprehensive mathematical model, based on experimental Ca(2+) measurements in mous

82 ant Arabidopsis thaliana Computer simulation models based on experimental data demonstrate that asymm

83 he simulator has been applied to a geometric model based on experimentally determined positions and f

84 We show how an elementary probabilistic model based on extreme value theory rationalizes the lat

85 An analytical model based on field susceptibilities is developed to ex

86 We developed a deterministic model based on findings related to HIV risks and interve

87 istance behavior, we provide a new numerical model based on finite element modeling.

88 Kinetic models based on first principles are becoming common pla

89 An encoding model based on five conceptual attributes directly relat

90 In contrast, a model based on five perceptual attributes of the word fo

91 tions can be described using a thermodynamic model based on Flory-Huggins solution theory.

92 diet using adjusted Cox proportional hazards models based on follow-up until 2010.

93 riation and partitioning suggested a general model based on four interconnected findings.

94 All the NPs were safe in both models based on general appearance, weight changes, deat

95 Models based on generalized estimating equations adjuste

96 ructed a series of gene expression inference models based on genes common to both platforms.

97 ding to IA status and developed a predictive model based on genetic risk, established clinical risk f

98 es of BE or EAC to develop a risk prediction model based on genetic, clinical, and demographic/lifest

99 ly on structural data, and the BamA assisted model, based on genetic and biochemical studies.

100 dicted by the TSS proximal region prediction model based on genomic and epigenetic features.

101 Second, we show that genome-scale models, based on genomic and bibliomic data, enable quan

102 this approach outperforms various predictive models based on genomics signatures and a well-known "gu

103 optimization algorithm is also applicable to models based on genotype likelihoods, that can account f

104 results suggest that global extrapolation of models based on geographically and taxonomically restric

105 This is done under a simple yet useful model based on global and equal redistribution of load u

106 We used a degree-corrected stochastic block model, based on goodness-of-fit, to model networks of in

107 mance of a deep-learning bone age assessment model based on hand radiographs with that of expert radi

108 A trajectory modeling, based on hematocrit evolution pattern, allowed

109 Atomic models based on high-resolution density maps are the ult

110 Here, utilizing a unique mouse model based on host (DISC1) X environment (THC administr

111 A PV production model based on household density and a gridded hourly gl

112 ribes the development of field based 3D-QSAR model based on human breast cancer cell line MCF7 in vit

113 Finally, an in silico PatZ tetramerization model based on hydrophobic and electrostatic interaction

114 Predictive models based on identified loci also have modest success

115 body (SPB) by Bayesian integrative structure modeling based on in vivo fluorescence resonance energy

116 Models based on in vitro assay data perform better in pr

117 accurate using computer-supported predictive models based on in vivo, ex vivo, and patient features.

118 microscopy to parameterize a full cell-cycle model based on independent control of pre- and post-Star

119 A hybrid control model based on integrated motion cues simulates saccade

120 ture with experimental results, we propose a model based on interfacial solvation to explain the obse

121 an affect accommodation using Finite Element models based on interferometric measurements of refracti

122 We propose an alternative mechanical model based on intraepithelial stresses generated by dif

123 spite of decades of research, mineral growth models based on ion attachment and detachment rates fail

124 Some of these models include the classical model based on Jacobson-Stockmayer polymer theory, and a

125 tion to estimate the congruency of each gene model based on known protein or domain homology.

126 ed genes in the root and shoot compared with models based on known TF binding motifs.

127 ished and validated air pollution prediction models based on land use, chemical transport modeling, a

128 es that the increasingly popular DNA-binding models based on local DNA shape can be useful in sequenc

129 ation procedure is then used for editing the models based on local variations of the structural assem

130 f the nano-sized probe neglected in previous models based on low-frequency assumptions.

131 We used a biophysical model based on mass transfer theory to show that the dis

132 ing experimental absorption spectra with the modeling based on Maxwell Garnett approximation modified

133 A random search model based on measured locomotor statistics could not r

134 Analytic approaches included linear mixed models based on measured genotypes in pedigrees, permuta

135 capture the key phenomena in a mathematical model based on memory or the storage and recollection of

136 We outline a new model based on methylation changes.

137 is was performed using the asymmetric island model based on MLST data of human and animal/food isolat

138 It is not yet established whether LUR models based on mobile or short-term stationary measurem

139 complex than that inferred from parsimonious models based on modern DNA.

140 Models based on MODIS satellite observations matched the

141 s this challenge, we develop a computational model based on multiple types of heterogeneous biologica

142 Prediction models based on multiple linear regression (MLR) were bu

143 Interestingly, models based on multiple TFs performed better than singl

144 A risk score model based on multivariate predictors accurately strati

145 Here we develop a parsimonious empirical model based on net anthropogenic nitrogen input, precipi

146 ks as generalizable biomarkers of attention, models based on network strength at rest predicted atten

147 e, we developed an integrative computational model based on neural, biochemical, morphological and ph

148 rk was to develop computational intelligence models based on neural networks (NN), fuzzy models (FM),

149 Here, we establish a paternal effect model based on nicotine exposure in mice, enabling pharm

150 ) regression was used to make the prediction models based on NIR spectra taken at 30 and 40 degrees C

151 ANN models based on NMR data showed the highest capability t

152 y risk factors in adolescence versus a lipid model based on nonlaboratory risk factors plus lipids fo

153 trajectory as its input and uses analytical modeling based on nonlinear elasticity and optimization

154 and contractility, as well as computational modeling based on nonlinear elasticity theory including

155 istent with neural resonance theory and with models based on nonlinear response of the brain to rhyth

156 ional guideline in applying phenomenological models based on observations of single synapses.

157 ng root water-uptake depths using an inverse model, based on observed productivity and atmosphere, at

158 at the source, long-term "tracer" transport modeling based on observed electrical conductivity, bett

159 Furthermore, kinetic nucleation-elongation models based on one and two competing pathways are used

160 Mechanistic models based on ordinary differential equations provide

161 son of teeth and implants via general linear models based on orthogonal polynomials showed similar re

162 A mathematical model based on our experimental data demonstrates how di

163 We also present a model based on our field data, which suggests that mangr

164 Modelling based on our biophysical characterization of T

165 r dynamics simulations on a hP2Y14R homology model based on P2Y12R structures.

166 We propose a model based on paracrine signalling to account for the s

167 failure, but do not improve risk adjustment models based on patient characteristics alone.

168 Here, we introduce a mathematical model based on persistence, bias, and noise to describe

169 To use a computer simulation model based on Petri nets to evaluate the impact on outc

170 The goodness of fit of models based on point counts ranged between 71 and 92%.

171 Modeling based on population-level copy-number variation

172 A prognostic risk stratification model based on preselected variables, including index di

173 A model based on pretreatment data and the findings at the

174 d and refine an improved sigma(N)-holoenzyme model based on previously published 3.8-A resolution X-r

175 y of the claw used here is a simplified claw model, based on prior experimental work.

176 To derive this, expected IQ was modeled based on probability of early (age <4 years) or

177 re discussed in the framework of a transport model based on proton-actuated movements in the cytoplas

178 An anatomic computational model based on published airway morphometry was develope

179 icomponent biogeochemical reactive transport modeling, based on published and newly generated data, i

180 A quantitative model based on Raman spectra allowed an estimation of th

181 , and chemically detailed pyramidal neuronal models based on rat data.

182 We show that a model based on RDMP can robustly perform the probabilist

183 Modeling based on recent crystal structures, along with

184 Demographic models based on recruitment data from the climate manipu

185 Using computational modeling based on reinforcement learning theory, we foun

186 ly similar that the generic deciduous forest model based on repeat digital photography performed comp

187 of different structures using a statistical model based on residue-residue co-evolution to capture t

188 Our self-organizing model, based on ring-rate adaptation, points at a comple

189 Two models based on rotating disk electrodes and flow chrono

190 tients with type 2 diabetes mellitus using a model based on routinely available patient characteristi

191 Hardness modelling based on RVA viscograms was carried out using

192 posures were estimated from PM2.5-prediction models based on satellite imagery.

193 The model based on score histograms performed better for har

194 mpare the forecast model framework to a null model, based on seasonal averages of previously observed

195 he observed patterns of N losses better than models based on sequential competition.

196 s paper, we design a unified non-convex SCCA model, based on seven non-convex functions, for unbiased

197 A model based on shoaling fish suggests how a group can sh

198 100 ms of stimulus onset, and a quantitative model based on signal detection theory (SDT) successfull

199 The multivariate Cox proportional hazards model based on significant prognostic factors of overall

200 impact on mixing, we propose a process-based model based on simple assumptions about organism burrowi

201 A hierarchical neural network model based on simple computational principles generates

202 Larger outbreaks in dynamic models based on simulated networks occurred especially w

203 However, most murine models based on single gene mutations fail to recapitula

204 antly outperforms TRL as well as traditional models based on single source data.

205 Another rHDL model based on small angle neutron scattering supported

206 es; Fit, including a 3-dimensional geometric model based on spatial resolution (Fit); and Black (Bl),

207 fish quality control aspects, PLS regression model based on spectral range 1139.9-1643.7cm(-1) showed

208 PLS-DA models based on spectroscopic data were able to classify

209 We present a model based on spin dependent electrochemical potentials

210 The underlying modeling - based on spin systems - has been proved to be

211 The goal of this paper is to compare LUR models based on stationary (30 min) and mobile UFP and B

212 A model based on structural data can replicate these chang

213 Prestin has been modeled, based on structural data from related anion tra

214 Although kinematic models based on structural mapping and high-resolution g

215 Models based on substitutions in the antigenic areas per

216 cid residue substitutions, and a new kinetic model based on substrate inhibition and sigmoidicity was

217 also fits population responses better than a model based on subtractive inhibition.

218 added as a single test to a basic prediction model based on symptoms.

219 u (Crem tau) knockout mice with mathematical models based on textbook pathways of cholesterol synthes

220 We used the best-fitting model (based on the Akaike Information Criterion [AIC])

221 A Linear Discriminant Analysis model based on the abundance of 12 compounds was able to

222 ere, we first renew the theory with a simple model based on the assumption that the magnetization fol

223 that included a biased and noisy observation model based on the available PED data.

224 we show by means of a stochastic simulation model based on the bacterial PTS system that it is not p

225 esults have been analyzed with a theoretical model based on the Boltzmann kinetic equations and the a

226 take is dynamically simulated in the coupled model based on the C costs of N acquisition from mycorrh

227 is achieved by optimizing one global kinetic model based on the complete data set while allowing for

228 re interpreted according to a semi-empirical model based on the composition of the coacervate, polyme

229 s and can be rationalized with a transparent model based on the concurrent tensioning and sliding of

230 This has been interpreted using a model based on the Entropy Generation Minimization - EGM

231 procedure to construct a bead-spring polymer model based on the EP matrix.

232 k or a complex balanced network, the reduced model based on the exact QSS can be derived.

233 In a multivariate Fine and Gray model based on the external cohort, the presence of clon

234 Here we have developed a numerical model based on the first-principles electronic bandstruc

235 Here we describe a mouse model based on the human psoriasis susceptibility locus

236 collected and combined with a fixed-effects model based on the intention-to-treat principle.

237 dy was to identify an easy-to-use prognostic model based on the Karnofsky Performance Status (KPS).

238 A model based on the known anatomy of layer 4 demonstrates

239 It can be fully explained by a microscopic model based on the known surface dynamic behavior under

240 in vitro digestion kinetics, and a secondary model based on the mechanisms of protein denaturation wa

241 A model based on the molecular structure of the prism face

242 propose a shear-dependent platelet adhesive model based on the Morse potential that is calibrated by

243 regression to develop a clinical prediction model based on the most important markers.

244 and computational docking in a BGT1 homology model based on the newly determined X-ray crystal struct

245 We applied a whole-brain model based on the normal form of a supercritical Hopf b

246 A new prognostic model based on the outcomes obtained with these contempo

247 Previously, we developed a Markov model based on the presence of one IVM binding site, whi

248 emble architecture is derived from a logical model based on the probabilities of neural firing events

249 vations we developed, tested and validated a model based on the size-dependence of the elastic energy

250 A disordered exciton model based on the structure of the main plant light-har

251 We develop a model based on the TREM2 structure to explain how differ

252 eactions, we propose a symmetrical two-cycle-model based on the two C15=N isomers of the retinal cofa

253 rld prediction precision for the global risk model based on the World Economic Forum Global Risk Repo

254 er baking were used to develop a mechanistic model, based on the asparagine-related pathway, for acry

255 everse transcriptase for medaka and human is modeled based on the cryoEM structure of Tetrahymena tel

256 Modeling based on the homologous zP2X4 receptor showed A

257 itals of GC by theoretical simulation and by modelling based on the Buttiker theory of partial cohere

258 issues of raw milk analysis and multivariate modelling based on the historical spectroscopic data hav

259 These findings are consistent with numerical modelling based on the minimization of Landau-de Gennes

260 tly better than the conventional risk factor models based on the 2003 guidelines (C-statistic of 0.55

261 gnitive processes, as suggested by normative models based on the assumption that neural computations

262 Collisional models based on the depletion of the primordial main bel

263 ecular insight, we constructed SERT homology models based on the Drosophila melanogaster dopamine tra

264 Predictive models based on the genetic risk score strongly distingu

265 aken, solving the Navier-Stokes equation for models based on the geometry of pits observed in trachei

266 erged 90 million years ago, were selected as models based on the large amount of genomic and root hai

267 ned to be used out-of-the-box for developing models based on the multiplex network framework, as well

268 We show that TF-specific models based on the sequence or DNA shape of the regions

269 seven X-ray structures, three computational models based on the X-ray structures, molecular-dynamics

270 Several animal models, based on the expression of PrPs carrying mutatio

271 Homology models, based on the SAC1 structure from yeast, predict

272 mation in four photosynthetic light response models, based on the use of Differential Evolution (DE).

273 a user interface that allows users to modify models based on their own experimental conditions.

274 l strategy that discriminates among putative models based on their repertoire of qualitatively distin

275 Our results show that the conventional models, based on their well-characterized components, ca

276 A model based on thermally-assisted domain nucleation and

277 We build a mathematical model based on these data and in the aggregate experimen

278 t and validated a conceptual system dynamics model based on these data that explained 79% of the vari

279 We propose a model based on these differential regulatory interaction

280 The predictive model based on these factors was externally validated, s

281 We then develop a 3D stochastic model based on these individual behaviors to analyze the

282 A population model based on these mechanistic studies shows that stim

283 We present a model based on these results in which local CUs drive ri

284 Statistical mechanics modelling based on these observations and using the meas

285 Models based on these networks generalized to previously

286 Increasingly sophisticated models based on these principles will help to overcome s

287 Here we propose a new model based on this principle of evolving phenotype dist

288 However, to reconcile theoretical models based on this mechanism with experimental data, a

289 tage solid volume was 73.2%; accuracy of the model based on total mass and percentage solid mass was

290 Accuracy of the model based on total volume and percentage solid volume

291 We present a computer model based on translational murine data for in silico t

292 A mathematical model based on trolox pattern was developed to predict a

293 e mammalian olfactory bulb is explained by a model based on two axes along which sensory neurons are

294 This Review focuses on classical metal ion modeling based on unpolarized models (including the nonb

295 CT screening for lung cancer compared with a model based on USPSTF recommendations was estimated to b

296 A simple linear regression model based on UVB light intensity appears to be a usefu

297 Notably this model, based on vicarious motivation and error processin

298 We developed a risk model based on widely available clinical parameters to h

299 B phenotype in an ex vivo pre-clinical mouse model based on xenotransplantation.

300 s and trip distribution data using a Gravity model based on zonal data for population, employment and