ライフサイエンスコーパス: linear

1 l eGFR trajectories also were frequently non-linear.

2 k second and the hierarchy is less steep, or linear.

3 ic techniques and the result was found to be linear.

4 ion that the signaling pathways were largely linear.

5 ITK-SNAP was used for linear, 2-D and 3-D manual CC measures and segmentations

6 Gy per fraction), delivered from a clinical linear accelerator.

7 the diagnostic performance of a closed-tube Linear-After-The-Exponential (LATE)-PCR assay for pyrazi

8 o-branched (L:B) regioselectivity for simple linear alkenes.

9 yielding than that for nucleosides carrying linear alkynyl chains.

10 A linear alpha-(1,4)-glucosamine tetrasaccharide was assem

11 e feature of RETrace was the introduction of linear amplification of microsatellites in order to redu

12 mers to reverse transcribe mRNA, followed by linear amplification through in vitro transcription.

13 ium treatment response were assessed using a linear and binary logistic regression modeling for the c

14 of helices, we have constructed 16 different linear and circular structures, including a finite-sized

15 icant higher-density spatial accumulation of linear and diffuse microdamage in diabetic ulnae than no

16 ct, and unsaturated moieties embedded within linear and heterocyclic biologically active entities can

17 f Disease (GBD) super-regions, with adjusted linear and logistic regression analyses examining associ

18 We performed multiple linear and logistic regression analyses to determine whe

19 mixed models (GAMMs) with splines to capture linear and nonlinear developmental processes.

20 laser pulses in the new regime where several linear and nonlinear ionization pathways compete.

21 l features, and its contribution to impaired linear and ponderal growth has been hampered by the diff

22 Linear and quantile regression models estimated the asso

23 r virus (EBV) BHLF1 gene encodes an abundant linear and several circular RNAs believed to perform non

24 We used log-linear and sine-wave models to estimate the parasite gro

25 Digital linear and volumetric measurements were recorded at base

26 y, discrete molecular compounds containing a linear array of more than three metal atoms, and coordin

27 d 2.5th GFR percentiles exhibited a negative linear association with age.

28 We used log-linear binomial regression to estimate risk ratios (RRs)

29 ics, including section thickness, may affect linear bone measurements of periodontal intrabony defect

30 Application to breast cancer data revealed a linear, branching evolutionary model with two distinct t

31 dary continuous analyses revealed a negative linear, but not quadratic, relationship between BMI and

32 tic tumor samples supports a unidirectional, linear cancer evolution process and sheds light on longs

33 tion in the size of the K(+) current and non-linear capacitance, a readout of prestin-dependent elect

34 which has not been explored earlier by this linear cavity geometry.

35 (6) and RuX(6) face-shared octahedra forming linear chains in the trigonal P3 m space group.

36 n-back task through training resulted in non-linear changes in integration between the fronto-parieta

37 n that to the beta-carbon, thus favoring the linear chiral aldehyde over the achiral branched alterna

38 The tectal feature map originates from a linear combination of diverse, functionally specialized,

39 se algorithms are based on the assumption of linear combination, which may not be sufficient to captu

40 or four different MNW types, and fit them to linear combinations of the individual type signatures to

41 rial community assembly was predictable from linear combinations of the taxa maintained on each indiv

42 hat are distinct from those available to the linear configuration.

43 A strong positive log-linear correlation between organic carbon (OC)-normalize

44 ptide to TAR in solution assays, whereas its linear counterpart did not.

45 l time reversal transforms the beam splitter linear coupling into amplification.

46 In this paper, we reveal novel non-linear criteria for the initial seed pulse that will fin

47 Linear [Cu(Cbz)((Dipp)CAArC)] (2) has been found to be a

48 hold of around 90% coverage, and underwent a linear decrease in vaccine uptake, from 92% to 70% over

49 Furthermore, we observe a 60% linear decrease in volatile reactive nitrogen gas flux (

50 work over time to assess capillary diameter, linear density, and angular dispersion.

51 xhibit a limit of detection of 0.19 nM and a linear detection ranging from 1 to 50 nM, the AuNPs modi

52 k, 1,3,5-Tris(4-aminophenyl)adamantane, with linear dialdehyde building blocks allowed the constructi

53 Both first-principles calculations and linear dichroism measurements reveal that the strain-med

54 Principal component analysis (PCA) and linear discriminant analysis (LDA) showed better results

55 ied by SOM-RPM can be further analyzed using linear discriminant analysis for the validation and char

56 torical perspective of how a transition from linear DNA structures toward more structurally complex n

57 f research in these systems has explored the linear domain, where interparticle interactions are negl

58 each with a [2 x 2] grid-like complex and a linear double helicate.

59 ttain ultra-low sensitivities (LOD = 1.2 fM; linear dynamic range of concentrations from 1.2 fM to 1.

60 otection agency guidelines (5.37 uM), with a linear dynamic range of ~28 (~2-30 uM) and an R(2) value

61 The line crack models, including linear elastic fracture mechanics (LEFM), cohesive crack

62 We derive a scaling law for linear elastic matrices such as basement membrane extrac

63 To account for these non-linear epigenetic changes with age, we recently develope

64 Patients' IgE recognized conformational and linear epitopes in a patient-specific manner.

65 This indicates that linear, equilibrium-based model assumptions may fail at

66 es imaging of fluorescent proteins after 20x linear expansion.

67 which shows the separation of cortisol in a linear fashion with respect to cortisol concentration.

68 f the macrocycle prevents the formation of a linear Fe-N(2)-Fe unit and leads to orbital interactions

69 Effects of linear features on animal movement have seen relatively

70 in mammalian systems and that some types of linear features, including both roads and transmission l

71 his biphonation is a phenomenon arising from linear filtering rather than from a nonlinear source.

72 A linear fit method is described which is less affected by

73 m we derive a relation between the number of linear folding motions and the number of rigid body mode

74 Using a mapping from the linear folding motions of such sheets to force-bearing m

75 tionship between An and Chl was positive and linear for both water conditions, but under WL condition

76 The linear free energy relationship accurately described the

77 xible helical hairpin domain HP2 and applied linear free energy relationship analysis to infer that t

78 mpact of the computational model on computed linear free-energy relationships (LFER) and the nature o

79 A calibration curve was linear from 0.1 to 15 g L(-1) for glucose and fructose w

80 ction of a single environmental cues (e.g. a linear function of one cue), which facilitates rigorous

81 olymer nanopores), architecture (branched vs linear), functional groups (coordinating or ionic), spec

82 etwork as a collection of stimulus-dependent linear functions enables a locally linear receptive fiel

83 genomes, some functions that are trivial on linear genomes become much more difficult in genome grap

84 ater complexity of genome graphs relative to linear genomes, some functions that are trivial on linea

85 The linear gradients we found along the length of the mouse

86 The probability to observe linear growth in these is practically zero.

87 the pandemic many countries showed an almost linear growth of confirmed cases for extended time perio

88 This statistic reduces to the log-linear growth rate for data well described by exponentia

89 10 young children (mean age, 18 months) with linear growth stunting who were living in an urban slum

90 nalysis of quantitative drivers of change in linear growth; 3) interviews and focus groups with natio

91 By removing conformational and linear IgE epitopes, a hypoallergenic Ara h 2 mutant wit

92 Two established branches are linear IMS based on the absolute mobility K at moderate

93 c acid by differential pulse voltammetry was linear in the range of 0.08-2.10 mumol L(-1) with limits

94 starting bowl temperature (before a standard linear increase in temperature) of the mixing process an

95 A complementary pattern of a linear increase of partial molar volume change with a pr

96 Fermi surface is then expected to produce a linear increase of the thermal conductivity with tempera

97 Linear integration models predict that regions that are

98 vel approach to statistically assess the non-linear interaction of tide and non-tidal residual in ord

99 has not been shown so far in the case of non-linear interactions (e.g. when three or more operators a

100 While standard linear interpolation mostly fails to produce realistic t

101 ed on a widely available quadrupole-Orbitrap-linear ion trap mass spectrometer that uses a front-end

102 eter, operated at atmospheric pressure, to a linear ion trap mass spectrometer.

103 imitation from a single limiting factor, the linear J(CO2) response on the sandy loam was reinforced

104 XGBoost (0.781), support vector machine with linear kernel (0.780), and [Formula: see text] penalized

105 strategy based on Dynamic FBA (DFBA), called Linear Kinetics-Dynamic Flux Balance Analysis (LK-DFBA),

106 ve processing of infected population through linear least-squares fitting.

107 The non-negative linear least-squares method yields the best results for

108 To this end, both linear logistic regression and nonlinear Random Forest c

109 acks" where they can be visualized along the linear map of the viral genome sequence and programmatic

110 of the drift diffusion model including a non-linear mapping from value-differences to trial-wise drif

111 letons from measurements of the mandible and linear mental spine to clivus.

112 In the main analysis, a linear mixed ANCOVA model including the 47 participants

113 xpression with the employment of generalized linear mixed effects models for correlated expression da

114 Quantitative linear mixed effects models of color images from a four

115 Although linear mixed effects models showed no FSC from the 12 pr

116 een case groups were examined using Bayesian linear mixed effects models, which included participant-

117 chMixeR', we model platform differences by a linear mixed effects regression (LMER) model, and estima

118 Bayesian linear mixed effects regression models were constructed

119 The generalized linear mixed model (GLMM) is an extension of the general

120 Linear mixed model analyses were used for best spectacle

121 A linear mixed model was performed, controlling for covari

122 Bayesian spatial generalized linear mixed model whole-brain analysis identified left

123 A generalized linear mixed model with a participant-level random inter

124 ted the VA decline rate over 8 years using a linear mixed model.

125 umovirus-associated ALRI using a generalised linear mixed model.

126 As a key variance partitioning tool, linear mixed models (LMMs) using genome-based restricted

127 Using phylogenetically informed generalized linear mixed models and character evolution models, we e

128 or global RNFL thickness were obtained using linear mixed models and classified as slow if change was

129 Data were analyzed by using generalized linear mixed models controlling for GA and sex.

130 Multivariable generalized linear mixed models for binary outcomes were used to exa

131 eGFR<60 ml/min per 1.73 m(2), or ESKD), and linear mixed models for longitudinal eGFR measures.

132 These include linear mixed models to control for unequal relatedness b

133 We repeated analyses using linear mixed models to examine associations between chan

134 Linear mixed models were constructed to evaluate associa

135 Linear mixed models, adjusted for longitudinal HRQOL in

136 Body weight change was described by using linear mixed models, including biomarker [log10(P/B rati

137 tperformed other previous methods, including linear mixed models, negative binomial mixed models and

138 Using phylogenetic generalized linear mixed models, we analysed the effect of diversifi

139 een LGE-CMR intensity and CV with multilevel linear mixed models.

140 deviation (MD) over time was assessed with a linear mixed regression model adjusting for the effects

141 Generalized linear mixed regression models were used to examine the

142 or therapy and psoas muscle area on multiple linear mixed-effect modeling (P = .055); however, patien

143 The scores were fit to a linear mixed-effects model with intercepts for reader an

144 0 years after disease onset, assessed with a linear mixed-effects model.

145 significantly lower compared to controls in linear mixed-effects models adjusted for repeated measur

146 used variable-area transects and generalized linear mixed-effects models to estimate tree densities a

147 Linear mixed-effects models were used to test for length

148 We applied multiexposure linear mixed-effects regressions with participant-level

149 RPE decline pattern using 3 models: the area linear model (ALM), radius linear model (RLM), and area

150 el (GLMM) is an extension of the generalized linear model (GLM) in which the linear predictor takes r

151 models: the area linear model (ALM), radius linear model (RLM), and area exponential model (AEM), in

152 A general linear model evaluated the interactions between maternal

153 e functional component was calculated with a linear model of VF measurements over time.

154 nd associated precision weights in a general linear model pipeline with continuous autoregressive str

155 plicable to other designs within the general linear model such as linear regression and analysis of c

156 Vertex-wise linear model tests were conducted across the cortical su

157 Generalized-linear models (GLM) and multi-level Cox-regression analy

158 d MetaPhlAn2, and analyzed using generalized linear models and random effects meta-analyses.

159 ed spiking networks with Poisson generalized linear models and suggests several promising avenues for

160 rofiled the performance of deep, kernel, and linear models as a function of sample size on UKBiobank

161 We determined best-fitting linear models for the rates over the entire series based

162 structural or functional brain scans, simple linear models perform on par with more complex, highly p

163 We used mixed-effects linear models to analyze associations of changes in stan

164 We used similarly adjusted generalised linear models to examine association with 5-year healthc

165 zel test stratified by site, and generalised linear models to obtain relative risk (RR) estimates and

166 Generalised linear models were used to estimate trends in annual hos

167 parenchyma-absorbed dose was assessed using linear models.

168 e would manifest as a tendency toward a more linear morphology.

169 les of the phosphatase via a conserved short linear motif.

170 Short linear motifs (SLiMs) drive dynamic protein-protein inte

171 Frequency domain and linear movement variability measures of acceleration sig

172 ple tasks permitted by our device, including linear movements, movement sequences and aiming movement

173 By contrast, linear MR analyses demonstrated an adverse effect of inc

174 Simulated reconstructions, using linear-nonlinear cascade models of RGC light responses t

175 We report on the development of a simple, linear optical cavity-based system combining evanescent

176 rology, can be translated into the classical linear optical framework.

177 n effects were estimated using mixed-effects linear or logistic regression, including a random effect

178 ounds, heterotrimetallic compounds of either linear or triangular geometry, discrete molecular compou

179 The linear order of chromosomal loci is maintained in the ax

180 motaxis apparatus that emerges from a strict linear organization of the histidine kinase CheA in Trep

181 ion, which is classified in mathematics as a linear, parabolic partial-differential equation.

182 ) by two orders of magnitude compared to the linear peptide aptamer, estimating K(D) as 10.1 nM, whic

183 linear) peptide-decorated nanoparticles was shown in 2D

184 ddition, we report here for the first time a linear peptidomimetic with three triazole insertions in

185 del target, the CDK inhibitor Sic1, contains linear phosphorylation motifs, docking sites, and phosph

186 ighly conserved architecture that recognizes linear phosphotyrosine motifs and is present in a wide r

187 r immunotherapy by exploiting (i) "flexible" linear polymer backbone to facilitate interactions with

188 ca. 10-100 kPa, well below values typical of linear polymer CANs (1 MPa).

189 prenols, dolichols and their derivatives are linear polymers of several isoprene units.

190 Modification of cellular substrates with linear polyubiquitin chains is a key regulatory step in

191 -conjugated polymer (DPP) is reported, and a linear Ppa-conjugated polymer (LPP) is reported as a con

192 brillar structure and hence, yielding a more linear PPy.

193 generalized linear model (GLM) in which the linear predictor takes random effects into account.

194 tion, we formalize our problem as an integer linear program problem and solve it using the PuLP packa

195 -phase ion-molecule reactions in vacuum in a linear quadrupole ion trap mass spectrometer.

196 electrospray ionization, transferred into a linear quadrupole ion trap, isolated, and subjected to c

197 ion, with catechol as target analyte, in the linear range 2.5-50 muM, with 2.0 muM limit of detection

198 native diagnostic methods and showed a broad linear range between 10(3) and 10(9) cells L(-1) with de

199 ol strategy, NGD sensitivity and the dynamic linear range can be adjusted and detection limits at a p

200 POC/MWCNTs electrode has shown a linear range for the detection of BHA from 0.33 uM to 11

201 The analytical features provided are a linear range from 250 to 4000 mg L(-1) K(+), covering al

202 ultaneous determination of FLU and NF with a linear range of 0.05-590 muM and 0.05-1220 muM and detec

203 m) for the detection of NH(4)(+) with a wide linear range of 0.1-11.5 mM (R(2) = 0.996) and high sens

204 isfactory linearity (R(2) > 0.998) in a wide linear range of 0.1-2000 ng/g, repeatability with RSDs <

205 on the enhanced analyte concentration with a linear range of 2.0-10.0 mg/mL for putrescine, and 0.1-6

206 owards the co-enzyme NADH, delivering a wide linear range of 20-960 muM and a high sensitivity of 0.2

207 The glucose biosensor presents a linear range of response within the expected physiologic

208 Unfortunately, the linear range of this device did not match the relevant c

209 m diameter glucose sensor is 10.0 muM with a linear range up to 4.0 mM.

210 conditions. Under optimal conditions, a good linear range was obtained in the range of 5-150 mg L(-1)

211 and DPV techniques; and as a result, the two linear ranges from 0.05 to 30 muM (R(2) = 0.9939) and 30

212 dependent linear functions enables a locally linear receptive field interpretation of the neural netw

213 he initial acceleration of the ship within a linear regime.

214 Multivariate linear regression (MLR) analysis controlled for addition

215 es in cardiometabolic markers using multiple linear regression among 15,612 adults aged 40-78 y at ba

216 Multiple linear regression analyses were performed for 12 cortica

217 Multivariable linear regression analyses were performed to evaluate th

218 Multiple linear regression analysis incorporating WLenh and serie

219 Multivariable linear regression analysis was applied to study the diff

220 igns within the general linear model such as linear regression and analysis of covariance.

221 rship patterns over time were evaluated with linear regression and nonparametric testing.

222 ariable-adjusted associations with IOP using linear regression and with glaucoma using logistic regre

223 Multivariable linear regression assessed the association of cardiac st

224 Multivariate linear regression for BCVA had an R(2) value of 0.42 and

225 assumption of Gaussian distributed errors in linear regression for eQTL detection, which results in i

226 absolute abundance data are modeled using a linear regression framework.

227 oth user-selected reference compounds and/or linear regression methods.

228 Our multiple linear regression model explained 61.1% of the variance

229 A linear regression model including breast volume at the s

230 Linear regression model showed serum PCT to be a signifi

231 Linear regression model showed that SSPiM in the inner n

232 The method is based on a piecewise linear regression model that was developed to predict th

233 with each of the response using a univariate linear regression model, and to select predictors that m

234 measures were compared between groups using linear regression models adjusted for age and sex with f

235 8 (n = 5,276) and 15 (n = 3,446) years using linear regression models adjusted for potential confound

236 Multivariate logistic and linear regression models were used to estimate associati

237 Linear regression models were used to relate measures of

238 isk in Communities study using multivariable linear regression models.

239 .35 (95% CI, 0.01 to 0.60) from the weighted linear regression of log(HR)-OS on log(HR)-EFS.

240 he registry-specific measures, a significant linear regression of total mortality rate (as well as PC

241 f enantioselectivity, including multivariate linear regression of TS energy, were carried out and the

242 We used linear regression to examine country-level associations

243 In addition, we performed linear regression to identify clinical factors associate

244 tification of unmodified peptides and robust linear regression to quantify the modification extent of

245 Stepwise linear regression was applied to select the model best p

246 Multivariable linear regression was used to identify independent clini

247 meaningful changes were defined a priori and linear regression was used to model PCI scores on baseli

248 Multivariable linear regression was used to model the association betw

249 Multivariate linear regression was used to test for cross-sectional a

250 Multiple linear regression was utilized to identify the associati

251 ity of life-EQ-5D-5L on a 0 to 1 scale-using linear regression with adjustment for patient, tumor, an

252 atures that incumbent tests (e.g. t-test and linear regression) do not consider, which can lead to fa

253 um tests, Spearman correlation coefficients, linear regression, and generalized estimating equation m

254 sk biomarkers were assessed by multivariable linear regression, whereas associations between TMAO and

255 ses were carried out with ANOVA and multiple linear regression.

256 iance, Pearson's chi-square test, and simple linear regression.

257 (LOD) for the isobaric internal standard in linear regression.

258 trends were investigated using logistic and linear regression.

259 en siblings was examined using multivariable linear regression.

260 Analysis of covariance and multivariate linear regressions were conducted with sleep-related var

261 Multiple linear regressions, conducted separately for CNS and non

262 ultiple researchers have recently reported a linear relation between the carbon to zirconium atomic r

263 The GFP intensity of the biosensor showed a linear relationship (R(2) = 0.99) from 0.4 to 62.5 ppm o

264 exhibits a sensitivity of 8.2 muA muM(-1), a linear relationship between 50 and 2500 muM with excelle

265 In both ionization methods, we describe a linear relationship between atomic and formulaic N-compo

266 There was a linear relationship between mean letters gained and mean

267 This revealed a linear relationship between the concentration of FA and

268 Here we establish a linear relationship between the heat and carbon uptake o

269 also analytically derive the origin of this linear relationship in artificial random networks.

270 mV) of the constructed MFC biosensor have a linear relationship with Zn(2+) concentrations (0, 100,

271 y of recorded units did not exhibit positive linear relationships with speed but instead exhibited no

272 The sensor showed a two-step linear response from 0.05 to 5 muM and 5-30 muM with a l

273 detection strategies exhibited an even wider linear response range of 0.005-50 nM, and a lower limit

274 Linear responses (R(2) > 0.99) were obtained, recoveries

275 between proteins enables fast actions, supra-linear responses, and long-lasting molecular switches.

276 ure decreases with increasing MW of flexible linear segments but increases with increasing MW of stif

277 to-phenyl hydride landscape suggest a single linear sequence for this transformation involving a sigm

278 for which we obtained a motif bound to short linear sequences, whereas ~30% preferred structured moti

279 bit higher antiaromaticity than those with a linear shape (fused to the 2,3-bond of the acene).

280 Our studies uncover a linear signaling pathway from HRI to ATF4 to BCL11A to g

281 pendent than the QT intervals (36 +/- 19% of linear slopes), PQ intervals were found to be dependent

282 By means of a linear stability analysis we identify the critical condi

283 ding a way to retain the advantages of FBA's linear structure while relaxing some of its assumptions

284 lateral resolution is comparable to that of linear structured illumination microscopy and the axial

285 imum, we observe a regime characterized by a linear temperature dependence of the inverse susceptibil

286 These catalysts have low linear-to-branched (L:B) regioselectivity for simple lin

287 ombined into, respectively, an angular and a linear topology via an unsaturated six-membered ring.

288 For example, a set of linear trajectories can be merged into a disease traject

289 slow gain-control mechanism able to support linear transfer of behavior-driven/learned PC rates conc

290 ynapses; however, some tasks require ongoing linear transfer of presynaptic rates, seemingly incompat

291 ompared with Q5: 1.28; 95% CI: 1.11, 1.47; P-linear trend <0.001).

292 am antibiotic (carbapenem carboxylate) and a linear tripyrrole red antibiotic, prodigiosin.

293 The linear ubiquitin assembly complex (LUBAC) is an essentia

294 of Best Linear Unbiased Predictions or Best Linear Unbiased Estimates.

295 data transformation and calculation of Best Linear Unbiased Predictions or Best Linear Unbiased Esti

296 ding of Grubbs initiators or by the use of a linear vinyl ether as the chain transfer agent.

297 g accuracy of 90% and substantial agreement (linear-weighted Cohen's kappa 0.62).

298 nshift with increasing doping level is quasi-linear with a steplike behavior when the Fermi level cro

299 that the absorbance of the protein bands was linear with the amount of mass deposited on the crystal.

300 th DQ antibody-verified eplet mismatches was linear, without a safe threshold at which de novo DSA di