ライフサイエンスコーパス: fitting

1 better than that obtained by peak-wavelength fitting.

2 for mechanistic elucidation and mathematical fitting.

3 the training classification and reduces over-fitting.

4 we develop an efficient algorithm for model fitting.

5 aking the model predictive without parameter fitting.

6 and analyzing the average of those by model fitting.

7 cted as input variables for prediction model fitting.

8 cted population through linear least-squares fitting.

9 d high DP4/DP4+ probabilities obtained after fitting.

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

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

12 SPACox requires fitting a Cox PH regression model only once across the g

13 First, by fitting a hidden Markov model of EMT with experimental d

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

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

16 large relative to the number of variables p, fitting a logistic model by the method of maximum likeli

17 By directly fitting a mechanistic model to our experimental data, we

18 By fitting a monotonically non-increasing spline, Fit-Hi-C

19 The method involves fitting a one-dimensional manifold that characterizes va

20 irst summarizes the longitudinal outcomes by fitting a simple linear regression of the response on a

21 modeling of chromatin have mostly focused on fitting a single consensus structure, thereby ignoring a

22 Active evolution of spur length, fitting a speciational model, was inferred in Linaria, w

23 Fitting a statistical model to data from studies of infl

24 By fitting a stochastic model to the observed mRNA distribu

25 ically, these probabilities are estimated by fitting a suitable distribution to the observed extreme

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

27 segmented regional, and voxelwise levels by fitting a two-term exponential model.

28 on and/or allowing different levels of model fitting: (a) calibrating decomposition parameters separa

29 lugin performs basic simulations, exhaustive fitting against experimental spectra, error analysis and

30 match a reference image sequence by a curve fitting algorithm based on geometric features.

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

32 T1 values were calculated using a curve-fitting algorithm on average region-of-interest signal a

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

34 e and a machine learning-based adaptive peak fitting algorithm, we demonstrate accurate and repeatabl

35 y of cathepsin B is derived with an improved fitting algorithm.

36 c models applied to DCE-MRI data using curve fitting algorithms; however, these suffer from drawbacks

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

38 malize our understanding of FDH catalysis by fitting all the data to a single kinetic model, recreati

39 Summarizing, we propose that fitting alternative models with indirect transmission to

40 We evaluate these possibilities by fitting an age-structured mathematical model to epidemic

41 sepithelial electrical resistance (TEER), by fitting an equivalent circuit and by analyzing the singl

42 o predict progression-free survival (PFS) by fitting an L1-regularized Cox regression model.

43 dy we use our freely available framework for fitting and comparing non-standard SSMs to fit the Simon

44 Curve fitting and dictionary matching were applied to simulate

45 magnetically aligned media, ensuring optimal fitting and generation of restraints for structure calcu

46 be used for scanning parameter ranges, model fitting and model extension.

47 CIUSuite 2 uses statistical fitting and modeling methods to reliably quantify featur

48 Smooth curve fitting and multiple logistic regression analyses adjust

49 report a new method for X-ray density ligand fitting and refinement that is suitable for a wide varie

50 onalized using a combination of mathematical fitting and simulations with a thermodynamic mass-balanc

51 Interestingly, the quality of both the image fitting and subsequent structure refinement was found to

52 The linear combination fitting and wavelet transform of EXAFS data revealed not

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

54 Laurdan fluorescence, novel spectral fitting, and dynamic light scattering were combined to d

55 nally-expensive to analyse and perform model fitting, and often require many simulation runs in order

56 This demonstrates the applicability of the fitting approach to any organic USMFE MC data for obtain

57 A sphere fitting approach was introduced for the computation of s

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

59 aBayes, a minimally-constrained Boolean rule-fitting approach.

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

61 nto distance distributions using regularized fitting approaches.

62 We consider direct, single NN PES fitting as well as more complex methods that impose stru

63 ence quenching and multiplexing ability, and fitting attribute with short length probe DNA sequences.

64 This is not unexpected as tightly-fitting brain age models naturally produce brain-age est

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

66 zes the likelihood of sampling and signature fitting, by explicitly factoring multinomial sampling in

67 d by partial least squares (PLS) regression, fitting calibration models either using metabolite signa

68 red diffusion around their anchor point, PSF fitting cannot be extended to arbitrarily fast frame rat

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

70 From the slope of the fitting curve, the mobility in the low-resistance state

71 elopment of a new Fourier space solution for fitting data.

72 sion model (GDDM) framework for building and fitting DDM extensions, and provide a software package w

73 Our best fitting demographic model is composed of three phases.

74 s (A(1670)/A(1690)) determined from sub-band fitting did not correlate with fracture toughness.

75 By fitting drift-diffusion models to response times, we fou

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

77 iveness of [Formula: see text]-statistics in fitting empirical data.

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

79 Computational tools for fitting EPR spectra have enabled dynamics parameters to

80 Standard deviation of fitting error in the former condition is 0.52; in the la

81 The curve fitting estimate had a mean percent error of 1.1-2.1% fo

82 by EM density map-based rigid-body structure fitting, flexible fragment adjustment and atomic-level s

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

84 We address model fitting for simple random sampling study designs as well

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

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

87 d are well described by simple two-parameter fitting formulae(4,5).

88 nt this explosion using only a biexponential fitting function.

89 , we developed a computational framework for fitting generalized drift-diffusion models, which flexib

90 Model fitting generated area under the log CSF (AULCSF) and pe

91 yes factor = 6.12) and results from the best fitting GLMs showed that female reproductive success and

92 e applicability and increases flexibility of fitting growth curves.

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

94 in which the fundamental assumptions of PSF fitting hold and where they begin to break down.

95 d to help students reappraise concerns about fitting in at the start of middle school as both tempora

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

97 Stabilisation is done by tailor fitting individual proteins with a silica coat using a m

98 bers is missing, as existing methods are not fitting into current laboratory measurement routines.

99 stacking of the seed and supplementary helix fitting into human Argonaute 2 protein (Ago2), reminisce

100 RNA-sequence-selective interfacial inhibitor fitting into the space shaped cooperatively by protein a

101 The local hyperfine field obtained by fitting is in excellent agreement with independently cal

102 olute sense, that therefore the risk of over-fitting is small and adding additional fitted parameters

103 rther demonstrates the necessity of globally fitting isotherms collected under various conditions, as

104 from the N(2) adsorption isotherm at 77 K by fitting it to adsorption theory and then correlating it

105 ures of the proposed model are: (i) requires fitting its six empirical parameters only once using exp

106 detailed kinematics of in vivo retraction by fitting just one free model parameter, the tension along

107 olves toggling the emission polarizer before fitting linear combinations of the I(VV)(t) and I(VH)(t)

108 s advantage of a commonly used procedure for fitting linear mixed models, which allows us to include

109 e predictability in the single-trial data by fitting linear mixed-effects regression (LMER) models at

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

111 lized effect estimates were then obtained by fitting linear regression models simultaneously adjusted

112 published data for 210 species at 25 sites, fitting linear relationships to elevation for both predi

113 ach to analysis of case-cohort data involves fitting log-linear models.

114 ogistic regression (MR) and Platt scaling by fitting logistic regression (LR) and Firth's penalized L

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

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

117 ed with each other and sensitive to the data-fitting method.

118 This curve-fitting methodology offers improved growth predictions a

119 approach combined with a simulation and data fitting methodology.

120 fitting time course data using routine curve-fitting methods.

121 tional brute force computations and function-fitting methods.

122 of other frequency bands and standard dipole fitting methods.

123 an approximate maximum-likelihood method for fitting MGPMs to comparative data comprising possibly in

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

125 ficant habitat-time interaction was the best-fitting model for birds, moths and butterflies, emphasiz

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

127 formance on novel stimulus sets not used for fitting model parameters.

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

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

130 The median of the best-fitting models indicates a broad potential distribution

131 r little information beyond age, and loosely fitting models may contain a lot of noise.

132 e, radiosensitivity values extracted here by fitting models to clinical response data were substantia

133 al evidence against commonly pursued tightly-fitting models.

134 e that provides functions for setting up and fitting negative binomial mixed models, zero-inflated ne

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

136 Metabolites were identified by line-fitting of 1D 1H-NMR spectra and the use of statistical

137 In practice this typically results in the fitting of a new predictive model for each specific type

138 Fitting of a thermodynamic model allows unequivocal demo

139 , which are located by real-time theoretical fitting of an experimental approach curve to ensure the

140 is that epistasis analysis will induce over-fitting of an over-saturated model with the high-dimensi

141 EXAFS data fitting of both contaminated organs in vivo and the uran

142 The fitting of complex receptor-response data where fraction

143 Operational model fitting of concentration-response curve data from cells

144 A pseudo-atomic model, obtained by flexible fitting of crystal structures into the density and molec

145 in limited, mainly due to the parameter over-fitting of current energy functions and their inability

146 rmore, we added the option to perform global fitting of data acquired at different frame times to all

147 Methods for straight-line fitting of data having uncertainty in x and y are compar

148 ecently developed approach to neural network fitting of diffuse reflectance spectra.

149 These new data are also compared with the fitting of dimer coagulation, isolation, and coalescence

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

151 in the unreacted samples were identified by fitting of high-resolution X-ray photoelectron spectrosc

152 ions conducted under oxidizing conditions by fitting of high-resolution XPS U 4f spectra.

153 Thus, fitting of OM to functional response data is a tricky pr

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

155 for determining permeability coefficients by fitting of our experimental relaxation curves and by com

156 Fitting of quadratic regression curves to CVI as a funct

157 Global fitting of relaxation dispersion data, measured as a fun

158 Fitting of the capsid protein into densities shows the p

159 Fitting of the current-voltage ( I-V) characteristics fo

160 raphical method that does not require global fitting of the fluorescence decay in every spatial posit

161 our approach which, in turn, allows unbiased fitting of the information-laden particle-size distribut

162 Curve fitting of the inhibitory relationship yielded an IC(50)

163 Fitting of the model is supported using both conventiona

164 Although the fitting of the model to measured data is practically ind

165 g electron density map allowed for confident fitting of the N-protein crystal structure, indicating t

166 e magnetic field, we have carried out actual fitting of the PP MC model to the experimentally obtaine

167 The fitting of three angular restraints per peptide plane an

168 Linear combination fittings of extended X-ray absorption fine structure spe

169 Fittings of NMR and ITC binding curves to the Hill model

170 Histogram fittings of the dynamic signatures using log-normal dist

171 In this work we analyse pitfalls of fitting OM to experimental data and propose a rigorous f

172 egrable with existing technology, preferably fitting on a single chip.

173 at LTMG has significantly better goodness of fitting on an extensive number of scRNA-seq data, compar

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

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

176 When fitting our model using imaging and cell scale data, we

177 Fitting our models to in vitro data, in which cells were

178 Only one fitting parameter is used for the simulated helium-impla

179 ctions over more than a decade with a single fitting parameter.

180 the conventionally used Freundlich isotherm fitting parameters log K(F) and n (R(2) > 0.98 for log K

181 n part, because of the number of independent fitting parameters needed to link theory to experiment.

182 nctions that meet our seven criteria and use fitting parameters that are both few in number and physi

183 We show that by adding only two fitting parameters to a purely ballistic transport model

184 sulted in higher confidence in the recovered fitting parameters.

185 lso applied in BiXGBoost to address the over-fitting problem.

186 As case studies, we take three model-fitting problems of increasing complexity from computati

187 This framework offers a curve-fitting procedure for five parameterisations of the VBGF

188 A step-by-step fitting procedure is presented, which enables the determ

189 In addition, a nonlinear least-squares fitting procedure is utilized to predict the future valu

190 nt reference spectra in a linear combination fitting procedure to reproduce the corresponding mixture

191 to experimental data and propose a rigorous fitting procedure where K(A) and E(MAX) are derived from

192 The fitting procedure yields physically realistic values for

193 Evolution is a blind fitting process by which organisms become adapted to the

194 The fitting process extracts physically significant paramete

195 Does the brain use similar brute-force fitting processes to learn how to perceive and act upon

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

197 Changes in MSY are expected when fitting production models to age-structured data, so att

198 anistic approach) in the commonly-used curve-fitting program, GraphPad Prism.

199 When fitting prosthetic feet, prosthetists fuse information f

200 In each cell, the same sequence of fitting protocols was applied, as well as an independent

201 JNDs based on the best-fitting psychometric functions were measured for size vi

202 ross orientation channels is investigated by fitting psychophysical data with two models representing

203 The best-fitting regression model supports the dietary hypothesis

204 We assess energy barrier changes by fitting release kinetics in response to hypertonic sucro

205 uted significantly to prediction after model fitting remain a practical challenge given the paucity o

206 energy calculation with an electron density fitting restraint that yields an energy reward during th

207 te, which were optimized further by flexible fitting routines and molecular dynamics.

208 The docking and atomic scale fitting showed multiple discrete interactions of myosin

209 In vivo, dictionary matching and curve fitting showed no statistically significant differences

210 Simulations with the best-fitting SIS model indicate that 20% of the hosts contrib

211 structure in data and simple enough to avoid fitting spurious patterns.

212 orward and efficient one-step procedures for fitting SSFs with random coefficients are currently lack

213 Fitting statistical models, we validate our data and fin

214 of Co(II)-based metalloradical catalyst with fitting steric, electronic, and chiral environments of t

215 survival (D-DFS), and overall survival (OS), fitting sTILs as a continuous variable adjusted for clin

216 Fitting structural models to three of these maps shows t

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

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

219 While fitting such models for RSFs is possible with standard s

220 microbiota of the tongue, palate and denture-fitting surface was characterised using next-generation

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

222 was no difference between those with a tight-fitting surgical mask with tape and an N95 mask in the "

223 -talking" scenario, subjects wearing a tight-fitting surgical mask with tape developed fewer CFUs com

224 e speech scenarios, subjects wearing a tight-fitting surgical mask with tape had significantly fewer

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

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

227 ities were derived from the OVHIPEC trial by fitting survival distributions.

228 This demonstrates the feasibility of this fitting technique to approach any working OLED for obtai

229 We demonstrate a fitting technique using the polaron pair model to the ex

230 lculated per heartbeat with a four-parameter fitting technique.

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

232 ing times compared to standard least squares fitting techniques.

233 a, have become increasingly affordable, thus fitting the budgets of individual research groups.

234 CTD retains its DNA binding capabilities and fitting the CTD into cryoEM density of the phi29 motor s

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

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

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

238 By fitting the epicenters of earthquakes occurred in mainla

239 By fitting the experimental data for the length-diameter de

240 Fitting the experimental data to a NEURON model revealed

241 loxane (PDMS) membrane, the IRF derived from fitting the experimental profile was slightly narrower t

242 Fitting the experimental site-spacing dependence of the

243 This is achieved by theoretically fitting the longitudinal plasmon resonance of GNRs obtai

244 chniques aim to detect the outliers by first fitting the majority of the data and then flagging data

245 d by -0.25V and -0.1V to +0.1V, a range well-fitting the midpoint potential of minerals naturally red

246 Fitting the MM model allowed us to estimate the maximum

247 Fitting the model simulations to data, we identified pat

248 onducting a back-casting approach, therefore fitting the model to alien species numbers until 1950 an

249 Fitting the model to behavioral data on a subject-by-sub

250 than previously proposed related models, and fitting the model to intracranial EEG data uncovers two

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

252 Fitting the model to the experimental data gave an assoc

253 to allowed disease transmissions and (2) by fitting the model to the JHU CSSE COVID-19 Data for the

254 Fitting the model to TRACERx evolutionary data argued in

255 user-friendly functions for simulating data, fitting the model, assessing model fit and postprocessin

256 cted based on BRR included in the model, and fitting the most significant SNP as a fixed effect was t

257 ir values being experimentally calibrated by fitting the results of simulations to the outcome of rea

258 vestigated the ACMSD tetramer structure, and fitting the SAXS data with X-ray crystal structures of t

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

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

261 precise than estimates from C(q) calibration fitting (the standard curve method).

262 X-ray or electron diffraction techniques by fitting their structure factors(1-3), but only if the sa

263 (VH)(t) decays with static polarizers before fitting them globally.

264 inverse probability weighting techniques for fitting these models, adjusting for (measured) time-vary

265 The DOOR endpoint fitting these rankings (r = 0.89; 95% confidence interva

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

267 Fitting this diffraction pattern to Lorenz-Mie scatterin

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

269 By fitting three multiple logistic regression models (one f

270 aningful kinetic drug efficacy parameter, by fitting time course data using routine curve-fitting met

271 size, then used hierarchical Bayesian model fitting to identify the individual learning strategies e

272 s, probably reflecting distinct modes of TCR fitting to MHC-II variants.

273 parameterisation for multi-exponential decay fitting to monitor the fractional contribution of the ac

274 Through systematic parameter exploration and fitting to neuroimaging data, we demonstrated that epile

275 mitations of our model include difficulty in fitting to past trends in NVT IPD in some age groups and

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

277 Fitting to the data also provides estimates for the degr

278 Fitting to the Hall conductivity data reveals that there

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

280 ling is quantified and this is done by curve-fitting to the whole time course, avoiding the need to s

281 visits for dental problems were estimated by fitting trendlines to ED visit patterns by payer type.

282 s was conducted using a univariate analysis, fitting unique plastic bands to the spectral data sets,

283 a novel gametocyte dynamics model and model fitting using Bayesian hierarchical inference.

284 aints on the vaccination coverage, with best-fitting values of 83% (95% CR: 73-91%) and 97% (95% CR:

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

286 In this paper we take a different approach, fitting variational autoencoder (VAE) models parameteriz

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

288 Model fitting was performed to understand the release characte

289 Complex-valued fitting was used for T(1rho) parameters estimation.

290 cant departure from conventional force-field fitting, we use a multilevel evolutionary strategy that

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

292 e diffusion coefficient (10(-7) cm(2) s(-1)) fitting well with the "diffusion-electron hopping" model

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

294 within an FTIR absorbance spectrum by curve fitting, which leads to a very compact and highly charac

295 ate prediction outside of the range for data fitting while using much less model parameters.

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

297 otein and uric acid content were found to be fitting with R(2) of 0.972, 0.997 and RMSE values of 2.0

298 erebellum showed the most prominent effects, fitting with the idea that it forms a stored internal mo

299 d R-EtB over S-EtB (75:25) because of better fitting within the chiral cavity (Lambda/R pair), wherea

300 count data and a fast EM-IWLS algorithm for fitting ZINBMMs.