ライフサイエンスコーパス: fit

1 ssociated with MINS and improves goodness of fit.

2 dels had previously been very challenging to fit.

3 predictive models of dementia improved model fit.

4 nes were analyzed for rhythmicity by cosinor fit.

5 ally in subjects who obtained a better model fit.

6 ereas the Gompertz model generated very good fits.

7 ngements of SCR domains for scattering curve fits.

8 cted as input variables for prediction model fitting.

9 cted population through linear least-squares fitting.

10 Using 1,570 samples from 300 infants, we fit 7,865 models for 6 host phenotypes.

11 interoceptive precision in this context, we fit a Bayesian computational model to behavior in a tran

12 We fit a hierarchical mixed-effects model to capture ring-w

13 We then fit a longitudinal joint model to estimate risk of advan

14 We fit a model to quantify costs (reduced intrinsic rates o

15 el for a synergistic mixture effect where we fit a multidimensional function to a given data set usin

16 Although these properties fit a recent mathematical model of automatic gradient sc

17 Thus findings fit a recent proposal that abstinent smokers show decrea

18 of structural options that can be altered to fit a specific purpose.

19 The non-CpG DNA methylation at telomere fits a binomial model and may result from a random proce

20 bstitution matrix from DMS datasets and then fits a linear model that combines these substitution sco

21 imensional interpolation with a cubic spline fits a response surface to determine the best condition

22 ctanoylammonium showed a low Hill slope, and fitted a 2-site binding model for the sigma-1 receptor.

23 First, we fitted a Cox regression model and estimated the 10-year

24 The algorithm tracks whiskers, by fitting a 3D Bezier curve to the basal section of each t

25 We sought to fill this gap by fitting a computational model to data (n = 1754) from a

26 ows complex linking functions to emerge from fitting a hierarchical latent representation of the mind

27 favorable orientation of BOD as validated by fitting a kinetic model to the electrocatalytic data, bu

28 Fitting a statistical model to data from studies of infl

29 By fitting a stochastic model to the observed mRNA distribu

30 We estimated photophysical parameters by fitting a three-state model of photoconversion and photo

31 FE DEFICIENCY-INDUCED TRANSCRIPTION FACTOR (FIT), a basic helix-loop-helix (bHLH) transcription fact

32 ementing a non-negative linear least-squares fitting algorithm in conjunction with a CD reference dat

33 ulation-density data, a previously developed fitting algorithm, and gravity-like mobility kernels.

34 The present model fits all of them.

35 No "one size fits all" solution exists, and many of the choices that

36 multiple regression method can be adopted by fitting all bins to a single model.

37 t may not be possible to produce a "one-size-fits-all" ribosome profiling data set.

38 er therapy by moving away from the 'one-size-fits-all' approach to patient care.

39 (3)VSe(4 )NSs-FTO based electrochemical cell fits an equivalent circuit with the circuit elements of

40 articipant during baseline and hyperemia, we fitted an adapted three-element Windkessel model that co

41 Second, we fitted an RMST model and estimated the predicted mean ti

42 "Puzzle-fit" analysis was used to correlate the fluorescent imag

43 omprehensive Functional Iso-Transcriptomics (FIT) analysis, which is effective at revealing the funct

44 1 double stranded (ds) complex that does not fit and cannot traverse this nanopore.

45 We estimated the indicators of model fit and demonstrated that the selected model has a good

46 required structural features, such as steric fit and H-bonding within the active site for proper alig

47 low-bellied marmots (Marmota flaviventer) to fit and project population models that account for seaso

48 ilst neglecting the uncertainty of the curve fit and the potential variability in the raw readouts.

49 ations and time periods for which models are fitted and those for which projections are made.

50 ty, gamma = 1: no amplification (E(max)-type fitting), and epsilon = 1: no partial agonism (Clark equ

51 matographic integration, followed by a curve-fitting approach, which interpolated high-precision, abs

52 Concordantly, multiple model-fitting approaches suggested that soldier head size evol

53 Mixed Effects Models were fit as appropriate.

54 hing for the cutoff that gave the best model fit (as judged by the pseudo-log-likelihood).

55 ition with their neighbours, with those less fit being eliminated by fitter adjacent cells.

56 the outer capsid, indicating that an optimal fit between inner and outer shells maintains capsid func

57 tree when due consideration is given to the fit between model and data.

58 There was a quadratic fit between time per bite and bite mass (P = 0.006).

59 ues, SMCE identifies sets of parameters that fit both laboratory-culturing observations and in situ p

60 he ocean system must integrate parameters to fit both physiological and ecological behaviors that are

61 urthermore, we show evidence that moderately fit brain ageing models may provide brain age estimates

62 We show that the moderately fitting brain age models obtain significantly higher dif

63 nature of sampling is not critical to model fits, but that, instead, random variability in sample co

64 but the steady-state concentration was best fit by a logarithmic function.

65 The data are best fit by models in which people incorporate their trial-to

66 Simpler cases can be fit by using consecutively reduced forms obtained by con

67 sion, and in the the low-resistance state is fitted by the Mott-Gurney law.

68 rate in real-time how incorrect initial rate fits can affect calculated Michaelis-Menten or EC(50)/IC

69 Regression models were fit comparing circulating miRNAs (N = 1640) among indivi

70 high-risk subjects in the host population by fitting compartmental susceptible-infected-susceptible (

71 It provides a single equation to fit complex cases within a full two-state framework with

72 lude that the ACB domain facilitates induced-fit conformational changes and confers high-affinity RNA

73 ere was a spectrum of equally-good parameter fits corresponding to a wide range of phenotypic behavio

74 Based on visual inspection and goodness-of-fit criteria, the negative-flux lower boundary condition

75 ister and the Norwegian Patient Register, we fitted discrete-time hazard models for diagnosis of Croh

76 Increased participation in strategies with FIT do not translate into higher detection of advanced n

77 uantified by a summary statistic from a best-fit dose-response curve, whilst neglecting the uncertain

78 We used 43 y of monitoring data to fit dynamic species distribution models and quantify the

79 on prediction, parameter optimization, model fitting, electromyography-driven simulation, and device

80 The preTCR topological fit ensures that CDR3beta reaches the peptide's featured

81 e corresponding computational tool for batch-fitting EPR spectra and cluster analysis of the chi(2) l

82 ynamic (PKPD) model providing the ability to fit exogenous inputs to specific bioavailability and aff

83 ch organ were calculated by integration of a fitted exponential function to the biodistribution of ea

84 is targets, or should it be deemed no longer fit for purpose?

85 The calibration suggested a reasonably good fit for the model (likelihood-ratio statistic: 2.81, P =

86 ar-Gaussian distributed subpeaks, polynomial fitting for highly asymmetrical peaks, and parabolic fit

87 ool will increase the reproducibility of EPR fitting for the characterization of dynamics in biomolec

88 for highly asymmetrical peaks, and parabolic fitting for under-sampled peaks, which allows determinat

89 The method showed fit-for-purpose figures of merit.

90 Such high-precision separation would enable fit-for-purpose treatment, improving the sustainability

91 The HRMS assay was fit-for-purpose validated in human plasma and demonstrat

92 ion would reveal deleterious alleles in less fit genotypes.

93 We fit hierarchical Bayesian models to these data to descri

94 y applying strategies to avoid confounds and fitting hierarchical Bayesian models.

95 the recipient population resulted in highly fit hybrids and subsequent increases in population size.

96 ge during a carbon source shift but are less fit in a constant, high-glucose environment, and we obse

97 A 3-factor model was found to be an adequate fit in all countries (root mean square error of approxim

98 to diagnostic colonoscopy following abnormal FIT in an academic healthcare setting.

99 ator of Fe homeostasis that acts upstream of FIT in concert with ILR3 and its closest homologs.

100 tedious steps involved in defining ranges to fit in general purpose programs like Microsoft Excel and

101 the expression of transcription factor gene FIT in response to Fe deficiency via an indirect mechani

102 umoniae mutants that were significantly less fit in the lungs of WT mice than in those of neutropenic

103 , its efficacy still needs to be improved to fit in the managemet of refractory calculi.

104 intuitive parameters that are challenging to fit in well-defined manner, have difficulties incorporat

105 or of approximation = 0.02-0.05; comparative fit index/Tucker-Lewis index = 0.97-1.00/0.94-1.00; stan

106 lied computational modeling to estimate best-fitting individual parameters related to specific proces

107 ization using DFT reveals that the complexes fit inside the channel and project the Cu(II) toward the

108 several drafts, the hebephrenic syndrome to fit into his emerging construct of dementia praecox.

109 Also reported is how the new SIn donors fit into selective activation strategies for oligosaccha

110 ill, how newly identified neutrophil subsets fit into the bone marrow neutrophil lineage remains uncl

111 s may not accurately reflect how macrophages fit into the context of an innate immune response in who

112 so speculate on how mNGS testing potentially fits into current diagnostic testing algorithms given da

113 for postprediction inference that naturally fits into the standard machine-learning framework where

114 value type moderates whether person-country fit is positively or negatively associated with well-bei

115 ele-frequency-based imputation of tumor (All-FIT) is an iterative weighted least square method to est

116 ICEKAT allows users to interactively fit kinetic traces using convenient browser-based select

117 s biochemical data on DNA binding and mostly fit known complex structures.

118 We fitted LAZ, stunting occurrence (i.e. LAZ < - 2) and per

119 rmine the extent by which selecting only one fit limits the biological features captured in the laten

120 We fit linear Ricker growth models using Bayesian statistic

121 We determined best-fitting linear models for the rates over the entire seri

122 ural Uganda will require gender tailoring to fit local contexts.

123 R, and nephrectomy type (partial/radical)-to fit logistic regression models and grouped patients acco

124 estimated using 2 methods: independent curve-fitting manual method (Levenberg-Marquardt-based algorit

125 Association constants were determined by fitting mathematical models to the experimental data.

126 r results point to a "limited change/induced fit" mechanism in which the clamp first opens, followed

127 1 appears to blend selected fit with induced fit mechanisms to catalyse collagen unwinding prior to c

128 A fitted mechanistic model showed that among the forest pl

129 n had a lower risk of the outcomes than less fit men (4,444 vs. 5,298 events; HR = 0.83, 95% CI: 0.79

130 A linear fit method is described which is less affected by the ex

131 approach combined with a simulation and data fitting methodology.

132 We fit mixed-effects Cox regression models (center as rando

133 We fitted mixed-effects Cox regression models adjusting for

134 The fitted model ensemble was robust to variation in proxies

135 Their values are extracted from the fitted model of the measured impedance spectra.

136 The fitted model parameters provide evidence of considerable

137 Subsequently, we use the fitted model to generate circa 143 million grain yield d

138 Based on our fitted model, the rate of ferrihydrite reduction increas

139 Our best-fitting model captures several known features of female

140 ing an exponentially modified Gaussian (EMG) fitting model for near-Gaussian distributed subpeaks, po

141 ussion, and conclusion of the results of the fitted models complete the study.

142 ociated with the patient's CD4 count in both fitted models.

143 y higher differentiation compared to tightly-fitting models in two of the four disease groups tested.

144 For all hormones, the best fitting models included both reproductive and chronologi

145 al evidence against commonly pursued tightly-fitting models.

146 ery and understanding but that do not always fit neatly into established models.

147 The fitted neutral models without cellular communication bet

148 od performed over 140-fold faster than curve fitting, obtaining whole volume perfusion maps in just o

149 subsets of time series data, then ranks the fit of break point combinations using model selection, a

150 The fit of our model's predictions demonstrates that males i

151 tified a single LFI cutoff by evaluating the fit of the competing risk models, searching for the cuto

152 e components to score (1) the uniqueness and fit of the deconvolution to the data, (2) the consistenc

153 ween the FRET efficiency calculated from the fit of the eGFP15eGFP fluorescence anisotropy decays wit

154 The successful fit of this complex, multifaceted system demonstrates ge

155 nd width of the shift distribution constrain fits of the static wide-line DNP-enhanced (195)Pt spectr

156 Fitting of a thermodynamic model allows unequivocal demo

157 The fitting of complex receptor-response data where fraction

158 We demonstrate fitting of GDDMs within our framework to both animal and

159 We present a workflow for the robust fitting of OMAM to experimental data using derived equat

160 The fitting of three angular restraints per peptide plane an

161 The previous models can fit only a few data types.

162 n atomic model of the tropomyosin cable that fits onto the actin filament between the tip of the myos

163 on curves with remarkable precision, without fitting or fine-tuning of parameters.

164 Therefore, fitted ordinary differential equations provide a basis f

165 the dynamics of prior stress experience and fit our established mouse model.

166 We fit our model to human viral load data (RV217).

167 When fitting our model to serial imaging only, there was a sp

168 Silicone GDD tubing was fitted over a 27 G Rycroft cannula and tied with a 7-0 s

169 ith activation of beta-catenin in physically fit, overweight and obese patients.

170 calibration curves (five-parameter logistic fit p < 0.05) by plotting the measured ratios of the MS

171 ng both data types across multiple years, we fit parameters for a state-space model for population gr

172 ded to result in larger uncertainties in the fitted parameters.

173 sulted in higher confidence in the recovered fitting parameters.

174 Compared with F-fit patients, the overall survival of F-unfit patients w

175 bial/antioxidant peptide from wastes by EDUF fits perfectly with the concept of circular economy.

176 The fitting process extracts physically significant paramete

177 Similarly, on nonmacrocycles, de novo fitting produced occupancy-weighted ensembles of many co

178 We fit proportional hazards models and hierarchical linear

179 t-diction) constant rate-of-growth, and also fits proposed future compute-system (prediction).

180 optimization and resampling to compute best-fit rates and statistical intervals for stochastic cell-

181 sult, and a majority learned of the abnormal FIT result by direct communication with providers (19, 3

182 Fifty-one were aware of the abnormal FIT result, and a majority learned of the abnormal FIT r

183 bnormal screening fecal immunochemical test (FIT) results.

184 stibular and podokinetic adaptation that can fit rotation trajectories across multiple conditions and

185 ection rate for CRC was similar in the first FIT round (0.25% vs 0.27%; OR, 0.92; 95% confidence inte

186 denoma detection rate was lower in the first FIT round compared to sigmoidoscopy at 1.4% vs 2.4% (OR,

187 was 52% for sigmoidoscopy, 58% in the first FIT round, and 68% for 3 cumulative FIT rounds.

188 interval [CI], 0.75-1.13) but higher after 3 FIT rounds (0.49% vs 0.27%; OR, 1.87; 95% CI, 1.54-2.27)

189 CI, 0.53-0.62) but higher after 3 cumulative FIT rounds at 2.7% vs 2.4% (OR, 1.14; 95% CI, 1.05-1.23)

190 he first FIT round, and 68% for 3 cumulative FIT rounds.

191 the early screening group who were mailed a FIT, screening was completed by 33.1%.

192 FiT-seq produces high-quality chromatin profiles particu

193 places the proteinase K digestion applied in FiT-seq with extended heating at 65 degrees C in a highe

194 ed in cardiac tissue, various data sets were fitted simultaneously using global optimization.

195 t is unique to PD-L2 and has been assumed to fit snuggly into a pocket on the PD-1 surface.

196 We show that AZ1 fits snugly into the L-shaped acyl chain-binding chamber

197 uating bifactor models based on global model fit statistics.

198 It uses an iterative approach to fitting subsets of time series data, then ranks the fit

199 al response with logarithm of concentration, fitting such a data set with linear function, and derivi

200 ht-fitting surgical mask without tape, tight-fitting surgical mask with adhesive tape securing the su

201 (no mask, loose fitting surgical mask, tight-fitting surgical mask without tape, tight-fitting surgic

202 d wearing various face masks (no mask, loose fitting surgical mask, tight-fitting surgical mask witho

203 We implemented model-fitting techniques that are more statistically appropria

204 ing times compared to standard least squares fitting techniques.

205 We compare fitted temperature response parameters between the corre

206 k of HF was 39% and 62% lower among moderate fit (tertile 2: hazard ratio, 0.61 [95% CI, 0.44-0.83])

207 rd ratio, 0.61 [95% CI, 0.44-0.83]) and high fit (tertile 3: hazard ratio, 0.38 [95% CI, 0.24-0.59])

208 ]) groups, respectively (referent group: low fit, tertile 1).

209 ines the feasibility of rapidly training and fit testing health care workers to use elastomeric half-

210 s that were generally better-quality density fits than the deposited primary/alternate conformational

211 Most scaffolds fit the defects well.

212 these predictions, we used a linear model to fit the fMRI response of human participants (both sexes)

213 spatio-temporal Poisson models were used to fit the MiP incidence rate and assess health program eff

214 g of mini image-quality phantoms designed to fit the new imaging system.

215 icoectomies were performed, only 25 of these fit the predetermined eligibility criteria and were thus

216 pt an empirical Bayes inference framework to fit the proposed hierarchical model by implementing an e

217 We fitted the Cenp-HIKHead-TW sub-module to the previously

218 We fitted the histograms of single-molecule Forster resonan

219 th dispersed and particle-associated FC well fitted the inactivation data with determined k(d) and pa

220 The test data (n = 539) fitted the new centile lines substantially better than t

221 relationships in the AOPs were developed by fitting the D. magna data to predefined models.

222 By mathematically fitting the data, important biological parameters can th

223 We validate the theoretical results by fitting the derived [Formula: see text]-Weibull distribu

224 Fitting the experimental site-spacing dependence of the

225 in the model were identified uniquely while fitting the model to the data for measuring the CYP1A en

226 Fitting the model to TRACERx evolutionary data argued in

227 modeling and find that almost 40% of studies fitting the searching criteria (N = 115) detected transi

228 arameter [Formula: see text] is estimated by fitting the secondary case data with a negative binomial

229 portion of long shifts did not improve model fit, the effect of long shifts did appear to differ acco

230 lly exhaustive gapped DNA alignment, to best fit their analysis needs and computational resources.

231 taining two or four different MNW types, and fit them to linear combinations of the individual type s

232 miscellaneous central disorders who did not fit these categories.

233 A. thaliana interactions and were adapted to fit these specific interactions; thus, these fixed crite

234 craniofacial development does not completely fit this paradigm.

235 Unexpectedly, however, not all sequences fitting this consensus activate OAS1 equivalently, with

236 he molecular activators and inhibitors fully fitting this versatile model remain elusive in pigmentat

237 By fitting three multiple logistic regression models (one f

238 t the selected model has a good to excellent fit, thus establishing the construct validity.

239 Elution data were fit to a Higuchi model, and the diffusion constant of et

240 The scores were fit to a linear mixed-effects model with intercepts for

241 The accuracy of fit to all previously determined properties in organolit

242 Cox proportional hazards models were fit to assess the independent prognostic value and inter

243 This speed allows GDDMs to be fit to data using maximum likelihood on the full respons

244 ta show that our method provides an improved fit to data, especially when considering large haplotype

245 Constraining the fit to describe diffusion over multiple length scales re

246 h the UPGMA clustering method found the best fit to dissect the genetic relationship in current set m

247 When fit to empirical data, the VKF is better behaved than al

248 Cox proportional hazard models were fit to estimate hazard ratios (HRs) describing the relat

249 Cox proportional hazards models were fit to evaluate the association of statin use with outco

250 Cox proportional hazards models were fit to identify whether size measurements increased the

251 characterized by FT-FRAP through a nonlinear fit to multiple spatial harmonics of the fluorescence re

252 ks seem to predict well, even with a perfect fit to noisy training data.

253 that the integrative model provides a better fit to the data than its closest competitor.

254 A linear mixed model was fit to the data.

255 A triexponential function was fit to the gamma-counter blood data and used to estimate

256 , Lyman, Logistic, Weibull and Poisson, were fit to the population data.

257 rganisms, yet some of these models have poor fits to empirical data and lack of flexibility in captur

258 A psychometric function was fitted to accuracy data for each individual revealing bo

259 A Cox regression model was fitted to ascertain the all-cause mortality risk associa

260 Regression models were fitted to assess association between residing in food in

261 Our model is fitted to density-functional theory plus many-body dispe

262 Logistic regression models were fitted to determine the association with subsequent brea

263 The Upstream module outputs were fitted to kinetic data on cGMP activity and early membra

264 igands and other solvent atoms, using models fitted to or derived from cryo-EM maps.

265 A Poisson model fitted to our data predicted 16% P. falciparum-positive

266 Bayesian regression models were fitted to survival outcomes and electrocardiograph QRS d

267 ion to optimize variable selection and model fitting to predict total phenolic content.

268 Fitting to the data also provides estimates for the degr

269 lysis of the impact of interictal spikes and fitting to the neuroimaging data.

270 The spline fit together with the correction of contact probabilitie

271 DFAs, on the other hand, fit two-component mixture models to learn the parameters

272 take MDR TPT, a marginal logistic model was fitted using generalized estimating equations to account

273 complex trait genetics, existing methods for fitting variance components do not scale well to large-s

274 th mRECIST, logit regression TCP models were fit via maximum likelihood to relate lesion-level binary

275 Model fit was acceptable (Hosmer-Lemeshow, P = 0.172; Brier sc

276 MVPA among men attracted to Aussie-FIT was high at baseline (intervention arm 35.61 min/day

277 Global data fitting was achieved by including experiments in the for

278 We fit Weibull regression models for time to viral load >10

279 This conclusion fits well with a previous suggestion that local subicula

280 FLPSO kinetic model and BS isotherm model fits well with the capacity of 175 mg g(-1).

281 This diachronic mtDNA portrait of Umbria fits well with the genome-wide population structure iden

282 Regional time-activity curves were fitted well by all models.

283 (R(2) > 0.97) and equilibrium isotherm data fitting well with Freundlich isotherm (R(2) > 0.98).

284 The 2-tissue-compartment (2TC) model fits were good, but the 2TC parameters often could not b

285 n coefficient (ADC) calculation and kurtosis fitting were performed.

286 de a quantitative measure of the goodness of fit, which can be used to distinguish isomers.

287 ctive effect in lung injury and fibrosis and fit with a mechanism whereby lung lymphatic network expa

288 MMP-1 appears to blend selected fit with induced fit mechanisms to catalyse collagen unw

289 esulting conformer pools balance goodness-of-fit with ligand strain.

290 Sliding window analyses were best fit with quartic and cubic regression models for CT and

291 -pai-methane rearrangement of benzobarrelene fit with statistical expectations from heavy-atom tunnel

292 e unreliably estimated parameters in several fits with the 2TC model and a good V (T) match between M

293 Bayesian stable isotope mixing models fitted with a TDF(CAM) and uninformative prior had the b

294 0 British Cohort Study (United Kingdom) were fitted with a waterproofed thigh-mounted accelerometer d

295 Appropriate enzymatic models were fitted with degree of hydrolysis (d(h)) profiles to prov

296 Albatrosses fitted with loggers detecting and locating the presence

297 ral resolution, allowing further analysis by fitting with kinetic models.

298 was highly uniform and adapted to a precise fit, with self-sharpening lower molar cusps.

299 Our work fits within the broader context of understanding neural

300 d glmmTMB, that use numerical integration to fit ZINBMMs.