ライフサイエンスコーパス: curve

1 uring the 2013 pollen season (area under the curve).

2 < .001 for all comparisons between pairs of curves).

3 ightward shift in the morphine dose-response curve.

4 f climatic variables following a hump-shaped curve.

5 er receiver operating characteristic (auROC) curve.

6 itting the collection efficiency vs distance curve.

7 m the nonlinearity of the genotype-phenotype curve.

8 al hyperpolarizing shift of the inactivation curve.

9 pirical parameter derived from the stability curve.

10 s determined without the need for a standard curve.

11 aximum) leading to any number of calibration curves.

12 Survival was described using Kaplan-Meier curves.

13 atypical polarization-versus-electric field curves.

14 nated the need for predetermined calibration curves.

15 ics to model both indentation and retraction curves.

16 OC) curve analysis and Kaplan-Meier survival curves.

17 rids through clearly-distinguishable melting curves.

18 aracteristic (ROC) and Precision Recall (PR) curves.

19 ha-T in 77 of 80 paired plasma concentration curves.

20 e overlap between TNF-induced noisy response curves.

21 ime and cancer recurrence using Kaplan-Meier curves.

22 under the receiver operating characteristic curve 0.67), and highest for National Early Warning Scor

23 under the receiver operating characteristic curve 0.71) and electronic Cardiac Arrest Risk Triage (m

24 is patient subset, LA strain (area under the curve 0.73) and LA volume (area under the curve 0.83) sh

25 under the receiver operating characteristic curve 0.73).

26 mproving the C statistic from area under the curve 0.83 (for REVEAL risk score, 95% CI 0.77-0.89; p<0

27 he curve 0.73) and LA volume (area under the curve 0.83) showed good predictive value for new-onset A

28 rom others with a lower risk (area under the curve 0.94, 95% CI 0.92-0.97).

29 predictive value(66% vs. 50%) and area under curve (0.81 vs. 0.70) improved significantly (P < 0.05)

30 patients (area under the receiver operating curve = 0.84; 95% CI = 0.79-0.89).

31 iscriminative power (learning area under the curve = 0.87; test area under the curve = 0.96).

32 under the receiver-operating characteristics curve = 0.88 +/- 0.07).

33 under the curve = 0.87; test area under the curve = 0.96).

34 under the receiver operating characteristic curve, 0.60) and Sepsis-related Organ Failure Assessment

35 under the receiver operating characteristic curve, 0.62), intermediate for quick Sepsis-related Orga

36 under the receiver operating characteristic curve, 0.65) and Modified Early Warning Score (median ar

37 under the receiver operating characteristic curve, 0.70; 95% CI, 0.59-0.81).

38 under the receiver operating characteristic curve, 0.73 vs 0.60, respectively; P < .001) and provide

39 RVAD or death within 14 days (area under the curve, 0.73).

40 rmance for both RVAD implant (area under the curve, 0.78) and the combined end point of RVAD or death

41 a under the receiver operator characteristic curve, 0.792), and 57%, 89%, 78%, and 74%, respectively

42 a under the receiver operator characteristic curve, 0.848).

43 under the receiver operating characteristic curve, 0.87, which is comparable to established CSF biom

44 rformance to discriminate CA (area under the curve, 0.95; 95% confidence intervals, 0.89-0.98; P<0.00

45 performance of PAAT (P<0.001; area under the curve, 0.98; 95% confidence interval, 0.97-0.99) with a

46 under the receiver operating characteristic curve: 0.84, sensitivity 72.2%, specificity 81.1% using

47 to predict durable segments (area under the curve=0.73).

48 ty=0.39) and predictive validity (area under curve=0.88).

49 arboplatin area under the concentration-time curve 6 mg/mL x min; trastuzumab 8 mg/kg loading dose, 6

50 d by using receiver operating characteristic curves.A total of 2882 infants were admitted: 140 (4.9%)

51 Peak force distance curves also exhibited a more permeable membrane for CYnL

52 readers was found for time-signal intensity curve analysis (kappa > 0.9) and the following parameter

53 sing receiver-operating-characteristic (ROC) curve analysis and Kaplan-Meier survival curves.

54 he summary receiver operating characteristic curve analysis demonstrated good overall accuracy, with

55 ROC curve analysis indicated that the optimal cutoff point f

56 Receiver-operating-characteristic curve analysis of the association between total mucin co

57 We used decision-curve analysis to evaluate the clinical usefulness of ea

58 The PMAnalyzer pipeline performs a growth curve analysis to parameterize the unique features occur

59 clinical usefulness (net benefit in decision curve analysis) by identifying risk thresholds at which

60 the strain ratio (4.25) was obtained by ROC curve analysis, the sensitivity and specificity for diag

61 the receiver operating characteristic (ROC) curve analysis.

62 ed using a receiver operating characteristic curve analysis.

63 larization converter has a flat transmission curve and exhibits a transmission efficiency that is hig

64 urvalumab increased cediranib area under the curve and maximum plasma concentration on the daily, but

65 ve quantification using an internal standard curve and need for calibrant diluent, and takes into acc

66 ine induced a left shift of the input/output curve and persistent firing.

67 rated model performance using area under the curve and the Hosmer-Lemeshow test in the derivation and

68 esented a narrower ACA and a more anteriorly curved and inserted iris than those of the full-term chi

69 ment weighting (IPTW) -adjusted Kaplan-Meier curves and Cox proportional hazards regression analyses

70 hering to glass and their AFM force-distance curves and include the following observations: (1) force

71 First, we report updated survival curves and organ pathology in Ndufs4 KO mice exposed to

72 images were used to determine time-activity curves and patient-specific masses for organs with (177)

73 .e. lies under the peak of the gain spectrum curve) and switch the lasing action to another mode.

74 rtant comparison of AOT at smaller micellar (curved) and planar oil-water interfaces.

75 hemoglobin, based on a built-in calibration curve, and reports the patient's hemolysis level: non-he

76 y, propidium iodide (PI) staining and growth curves, and blocks cell migration based on transwell ass

77 ling, receiver-operator characteristic (ROC) curves, and calibration plots.

78 nce times were determined from time-activity curves, and effective doses to individual organs and the

79 tics, incidence rates, Kaplan-Meier survival curves, and the RR of NLP outcomes among eyes with aniri

80 eno[7,1,2-cde]picene (CIP, 1b), as well as a curved antiaromatic molecule with 48 pi-electrons, diben

81 This is significant as auPR curves are argued as suitable metric for comparison for

82 d6-alpha-CEHC areas under the concentration curves [area under the curve from 0 to 24 h (AUC0-24h):

83 f substrates, which is known as the progress curve assay.

84 Our analyses reveal that the strain curves associated with the distortion of the reactants i

85 s, whilst short range connections via highly curved association fibers terminate within modules.

86 The results showed that Ti calibration curve at 390.11nm provides successful determination of T

87 the extent to which membranes are naturally curved at each of the cellular sites believed to engage

88 Comparison of SAXS curves at high and low salt concentration shows that R10

89 We show calibration curves at the femtomolar level for cobalt, nickel, and l

90 culation time ( 0.44h), lower area under the curve (AUC) (33mugh/mL) and high clearance (916mL/h/kg)

91 of DKK-1 was 583.1 pg/mL with the area under curve (AUC) 0.76 (95% CI, 0.70-0.82; P < 0.001), sensiti

92 sition was assessed using the area under the curve (AUC) and Brier score.

93 Alzheimer disease have given area under the curve (AUC) estimates of <80%.

94 weeks had the highest AOR and area under the curve (AUC) for all outcomes.

95 nt final performance, with an area under the curve (AUC) of 0.92.

96 under the receiver operating characteristic curve (AUC) of 0.92.

97 imary outcome measure was the area under the curve (AUC) of cumulative pain scores from end of surger

98 The area under the curve (AUC) of the resulting probability maps was very h

99 under the receiver operating characteristics curve (AUC) than non-deep learning (P = 0.0007 < 0.001).

100 aracteristics, the calculated area under the curve (AUC) to differentiate glaucoma was 0.873 for BMO-

101 nder the Receiving Operating Characteristics Curve (AUC) using the Support Vector Machines (SVM).

102 Area under the curve (AUC) was 0.984 for DCEMRI+HB phase vs. 0.934 for

103 oved sensitivity, specificity and area under curve (AUC) were observed when comparing dwgLASSO with c

104 ured using the time-dependent area under the curve (AUC), predicting 5-year risk; internal validation

105 under the receiver operating characteristic curve (AUC).

106 under the receiver operating characteristic curve (AUC, in g/mL. min) for (18)F-FTT was assessed in

107 mm Hg) was highest for ONSD (area under the curve [AUC] 0.91, 95% CI 0.88-0.95).

108 under the receiver operating characteristic curve [AUC]) between individuals with and without lung c

109 a under the receiver operator characteristic curve [AUC], 0.79; 95% confidence interval [CI], 0.74-0.

110 ined the diagnostic accuracy (area under the curve, AUC).

111 ictors included 0- to 24-hour area under the curve (AUC0-24), maximum concentration (Cmax), AUC0-24/M

112 Post-drug plasma 24(S)-HC area under the curve (AUC8-72) values, an indicator of neuronal cholest

113 under the receiver-operating-characteristic curve (AUCs) of 0.78 compared with 0.58 in the SUVmax mo

114 under the receiver operating characteristic curve (AUROC) of 0.98, whereas the classifier that diffe

115 The areas under the receiver operating curve (AUROC) value, sensitivity and specificity of GPC3

116 the receiver operating characteristic [ROC] curve [AUROC] for wPRx was 0.73 versus 0.66 for PRx, p =

117 ognitive performance (type-II area under the curve, AUROC2), but had no impact on perceptual decision

118 However, the BMI curves begun to diverge already at 17.8 years before exp

119 tion model was quantified by comparing AUROC curves between the original and updated models.

120 aling of monotonic stimulus intensity tuning curves, but may rather represent a canonical feature of

121 We computed stratified cumulative incidence curves by age (60-64, 65-69, 70-75 y) and APOE-e4 dose,

122 Receiver operating characteristic (ROC) curves, category-free net reclassification index (cfNRI)

123 Receiver operating characteristic curves constructed using brain connectivity measures wer

124 of the dielectric barrier, ozone production curves corresponding to ten dielectric barriers with dif

125 The OS curves crossed, so life expectancy was used: 15.7 months

126 sion pressure values at which this "U-shaped curve" crossed the fixed threshold from intact to impair

127 The ROC curve decided that the cutoff point of FENO was 37.8ppb

128 acy, this work paired predicted breakthrough curves determined by the homogeneous surface diffusion m

129 Receiver operating characteristic curves determined the diagnostic accuracy (area under th

130 as no significant shift in dose-distribution curves due to the baking process, implying that existing

131 rea under the plasma C-peptide concentration curve during the hyperglycemic clamp increased by 22 +/-

132 Analysis of the resulting reaction curves enables validation of the critical dPCR assumptio

133 is of the hyperspherical adiabatic potential curves explains this statistical character revealing a c

134 of FtsZ-GTP, but also stabilized the highly curved filaments and miniring structures formed by FtsZ-

135 gorithm called PhenoCurve, a knowledge-based curve fitting algorithm, aiming to identify the complex

136 ealed a new band at 540 nm and the nonlinear curve fitting analysis showed good fit with 1:1 model.

137 riptomes from various sources and employed a curve fitting approach for linear comparison of cell typ

138 thodology involves a multivariate resolution curve fitting known as non-negative matrix factorization

139 dea of this concept is based on an automated curve fitting of most relevant vibrational bands to calc

140 d automatically using a previously published curve-fitting heuristic from the relationship between pr

141 and reheating, the latter is rarely used in curve-fitting, leading to a significant loss of informat

142 oduced a leftward shift in the dose-response curve for cocaine-primed reinstatement.

143 under the receiver operating characteristic curve for discriminating septic patients from patients w

144 under the receiver operating characteristic curve for early and late multivariable models were 0.778

145 ty and the receiver operating characteristic curve for predictive validity.

146 ting characteristic analysis, the area under curve for that collapsibility index was 0.89 (95% CI, 0.

147 the receiver operating characteristic (ROC) curve for the classifiers was 0.973 with a sensitivity o

148 under the receiver operating characteristic curve for the diagnosis of appendicitis was 0.97 (95% co

149 under the receiver operating characteristic curve for the experts (AUC, 0.77 [95% CI, 0.69-0.89]; AU

150 analyzed over time and using area under the curve for the intention-to-treat and completer groups.

151 a under the receiver operator characteristic curve for the score was 0.86 (95% confidence interval 0.

152 ulting model predicts a monostable induction curve for the wild-type system, but indicates that overe

153 Probability curves for Ana o 3-specific IgE have been calculated, an

154 tical model to predict Kaplan-Meier survival curves for chemotherapy combined with radiation in Non-S

155 Age-specific incidence curves for congenital esotropia, fully accommodative eso

156 The EC50 dose-response curves for GCSF, GCSF-Fc and PEG-GCSF were 37 +/- 12 pM,

157 tions, we show that sensory and motor tuning curves for premovement preparatory activity do not gener

158 Techniques such as the first order reversal curve (FORC) methods, were developed to extract the SFD

159 der the concentration curves [area under the curve from 0 to 24 h (AUC0-24h): 27.7 +/- 7.9 compared w

160 The area under the concentration-time curve from 0 to 24 hours increased from 628 to 2054 ng h

161 The area under the concentration-time curve further increased to 6045 ng h/ml (P=0.03), and tr

162 Experimental breakthrough curves further demonstrate the excellent performance of

163 ed into health burdens using a dose-response curve generated from a systematic review and from curren

164 ionary dynamics can be collapsed onto master curves governed by three essential parameters: (1) an ex

165 tiple biomarkers with values areas under the curve >0.70 including interleukin 15.

166 e downslope of the "inverted-U" input-output curve, impaired spatial tuning of neural activity and im

167 Here we report a high-slope melting curve in molybdenum by synchrotron X-ray diffraction ana

168 screening and the shape of the dimerization curve in small-angle X-ray scattering (SAXS) experiments

169 rt MR imaging protocol, with areas under the curve in the range of 0.74-0.81 (83.8% confidence interv

170 s used to describe pharmacokinetic-occupancy curves in caudate, putamen and thalamus.

171 on with individual whole-blood time-activity curves in the other 8 subjects.

172 ean expression collapse onto a single master curve independent of the strength and number of competit

173 Cumulative mortality curves indicated greatest mortality for women who report

174 these drawbacks, we proposed to filter decay curves instead of images.

175 sing integration area under the reflectivity curve is applied for optimum signal to noise ratio (SNR)

176 lity: on the footing of equal phase-response curves, it exhibits the strongest input compensation.

177 Receiver operating characteristic curve, Kaplan-Meier method, Cox regression, and classifi

178 ccuracy to predict MDD, using area under the curve, logistic regression, and linear mixed model analy

179 The uniformity of their light curves makes these supernovae powerful cosmological dist

180 ed by angular-dependent first order reversal curve measurements indicate a strong domain wall pinning

181 that Yop1p favours the generation of highly curved membrane structures.

182 We find that the positively curved membranes are CME hotspots, and that key CME prot

183 d K) through LIBS was done using calibration curve method in which all calibration curve shows good l

184 run, in the standard addition or calibration curve mode, respectively.

185 ic summary receiver operating characteristic curve models.

186 ssed using longitudinal random-effect growth curve models.

187 urgery patients underwent: monocular defocus curve; monocular and binocular uncorrected visual acuity

188 With an area under the curve of 0.6 to 0.7, the discriminative ability of both

189 1 (1.1-3.7), with unadjusted areas under the curve of 0.618 and 0.627, respectively.

190 f chronic bronchitis yielded areas under the curve of 0.72 (95% confidence interval [CI], 0.65 to 0.7

191 the receiver operating characteristic (ROC) curve of 0.75 +/- 0.1, 0.80 +/- 0.1 and 0.89 +/- 0.1 at

192 f these three proteins had an area under the curve of 0.82 for the classification of OA and control s

193 under the Receiver Operating Characteristic curve of 0.85 for all loss-of-function variants and 0.75

194 on the acute CMR scan had an area-under-the-curve of 0.87 (95% confidence interval of 0.82 to 0.91)

195 under the receiver-operating characteristic curve of 0.87 (p < 0.001) for coronary stenosis >/=70%.

196 The ROC analysis produced an area under the curve of 0.87, indicating very good discrimination; a cu

197 under the receiver operating characteristic curve of 0.878 for CCA versus control, 0.905 for CCA sta

198 MI on cine MR images, with an area under the curve of 0.93 and 0.92, respectively.

199 ood overall accuracy, with an area under the curve of 0.935.

200 n-hospital mortality, with an area under the curve of 0.94 (95% CI, 0.92-0.95).

201 teristic analysis revealed an area under the curve of 0.978.

202 uch as, for example, R(2) of the calibration curve of 0.98 and 0.99 for proteins and small molecules,

203 Here we report that the radio light curve of GW170817 has no direct signature of the aftergl

204 se the cocoon model explains the radio light curve of GW170817, as well as the gamma-ray and X-ray em

205 ted to the stomach volume and area under the curve of hormone concentrations (P < 0.05).In older men

206 8 months in the tailing of the breakthrough curve of run 13-05 as well as in samples collected up to

207 Furthermore, the activation curve of somatic A-type K(+) current was depolarized.

208 ossover shift to lower strains in the G'-G'' curve of the emulsions incorporating LA.

209 under the receiver operating characteristic curve of the King's College criteria (early, 0.552 alone

210 is important to note that the area under the curve of the plasma concentration of (-)-epicatechin met

211 roup basis, at the beginning of the learning curve of the use of imatinib, in a large population of p

212 In previous methods, only the decay curve of weighted LD between pairs of sites whose geneti

213 a under the receiver-operator characteristic curves of 0.67, 0.68, 0.72, 0.79, and 0.84 in the obstet

214 re found on the pressure/pressure-derivative curves of a well surrounded by multiple fractures.

215 st rightward-shifting concentration-response curves of all three agonists in a parallel manner for al

216 rightward shifted the concentration-response curves of both 2-methylthioadenosine 5'-diphosphate tris

217 1050 curves of glucose concentration of type 1 and type 2 dia

218 me kinetic parameters from reaction progress curves of substrates, which is known as the progress cur

219 It was found that the loading curves of the foam material are steeper than a similarly

220 y construction and analysis of dose-response curves of the most promising hits.

221 tic properties, the isothermal magnetisation curves of the multi-core particles (immobilised and disp

222 prediction of the time-varying concentration curves of various contrast material administrations in e

223 ryo-EM studies, the obtained force-extension curves on arrays with 167-bp NRLs best supported an unde

224 ion intensities using a standard curve with curve parameters unaffected by the presence of other tra

225 Leaf water potential and pressure-volume curve parameters were also measured before and during th

226 extruded ink, and print various thickened or curved patterns with straight nozzle motions by accumula

227 CIT manifest planar structures, DPT shows a curved pi-conjugated carbon skeleton.

228 he conductivity deviates from this universal curve, pointing to the importance of thermal activation

229 ing to this model, weak interactions between curved polar FtsZ protofilaments through their the C-tai

230 fast (<12.0min), present linear calibration curves (r(2)=0.995), and relative standard deviation for

231 ation, but enriches preferentially on highly curved regions of microtubules where it strongly inhibit

232 al component analysis (PCA) and multivariate curve resolution (MCR), were performed on the secondary

233 Multivariate curve resolution-alternating least-squares (MCR-ALS) was

234 Multivariate curve resolution-alternating least-squares (MCR-ALS) was

235 Force-extension curves revealed a gradient, from high to low, in the pla

236 area under receiver operating characteristic curves revealed CCI to be a more sensitive, specific, an

237 Receiver operating characteristic curves revealed that loop characteristics (AUC = 0.99, 1

238 individual genus, with species accumulation curve richness as a hub.

239 using the area under the receiver operating curve, scaled Brier's score, and standardized mortality

240 role of covariability among neurons, tuning curve shape, etc.

241 e tomography-derived maps of pressure-volume curve shapes allow to detect regions in which elastance

242 d position 623 (E623Q) displayed a titration curve shifted to the left relative to wild type channels

243 any species, and find that the peak seedling curve shifts away from conspecific adults over time.

244 e following observations: (1) force-distance curves showed detachment events indicative of multiple b

245 egions and clusterwise average time-activity curves showed excellent correlation with the tumor histo

246 Neutron-scattering curves showed only subtle changes in wall structure, inc

247 ration curve method in which all calibration curve shows good linearity (r>0.95).

248 sual and quantitative analysis of ROC and PR curves shows that meta-predictors outperform their const

249 tic marker for HRM, we observed complex melt curve signatures as compared to 16S rDNA amplicons with

250 Time-activity curves, slope, and tumor-to-brain ratios of (18)F-FET up

251 Precision values of standard curves slopes were lower than 3.4% and recovery was betw

252 ntify and guide the dynamic sculpting of the curved structures that often arise in accretive minerali

253 consecutive positive peaks of the delta(18)O curve (substages 13.3 and 13.1).

254 well occurrence to the sum of three Gaussian curves suggests that the asymmetry of the three ATPase-d

255 With a calibration curve taking into account the CCS dependence of the time

256 fferent supernova subclasses, namely a light curve that is typical of normal-brightness supernovae, b

257 under the receiver operating characteristic curve) that reaches 0.65 both in 10-fold cross-validatio

258 le Erk5 (fl/fl) mice had a severely deformed curved thoracic spine, with an associated loss of trabec

259 the receiver operating characteristic (ROC) curve to minimize false discovery rate (FDR) and calcula

260 We used Kaplan-Meier curves to compare patient survival between HLAi and the

261 under the receiver operating characteristics curves to detect ballooning, steatosis, or steatohepatit

262 u of native tissues or conform well with the curved topology of human organs needs to be further expl

263 adopts a three-bladed propeller shape with a curved transmembrane region containing at least 26 trans

264 linear regression of the tumor time-activity curve using a reversible 2-tissue-compartment model with

265 of these (418/916) reached an area under the curve value >0.80.

266 ted an accuracy of 99% and an area under the curve value of 0.97.

267 total surface had the highest area under the curve values (0.918; 0.894 and 0.890, respectively).

268 gative correlation with IPGTT area under the curve values (P <0.05).

269 Area-under-the-curve values for methylone and MDC were greater than dos

270 Area under the curve values for predicting iFR were >0.99 for all index

271 the coincidence of PI(4,5)P2 and PI(3)P in a curved vesicle triggers actin polymerization.

272 The pooled area under the curve was 0.94 for discrimination of HGG from LGG, with

273 under the receiver operating characteristic curve was approximately 0.87 for all Kidney Donor Profil

274 Cumulative pain area under the curve was determined using the trapezoidal method.

275 The calibration curve was linear in the concentration ranges of 0.8-400m

276 The shape of the curve was mainly influenced by the specific training hos

277 A calibration curve was obtained with a linear range of 0.50-10.00 mg

278 ressure targets, an identical shape of the J curve was present, with a nadir for cardiovascular event

279 The DSC curve was used to calculate the purity of the lactulose

280 The area under the receiver operating curve was used to indicate the most appropriate choice f

281 a under the receiver-operator characteristic curves was calculated to find the most accurate predicto

282 tected backscattering suppression around the curved waveguide are further demonstrated.

283 sing receiver operating characteristic (ROC) curves, we determined the optimal cut-off values for eac

284 tandard MR imaging protocol, areas under the curve were 0.71-0.77 (83.8% CI: 0.62, 0.86).

285 s of logistic regression and areas under the curve were compared between PI-RADS versions 1 and 2.

286 All individual tumor growth curves were decoded via separate measurements of cell de

287 Survival curves were estimated with the Kaplan-Meier method and c

288 perfusion pressure-pressure reactivity index curves were fitted automatically using a previously publ

289 JOA, receiver operating characteristic (ROC) curves were plotted.

290 Reversal and ejection flow curves were studied.

291 Matrix matched calibration curves were used to determine Fusarium toxins in wheat.

292 uum, can show characteristic Fano asymmetric curves when coupled in arrays.

293 r results revealed multiphasic dose-response curves, which suggested toxicity mechanisms that affecte

294 thin 100 days of the merger, the radio light curves will enable observers to distinguish between thes

295 the absorbed dose followed a linear survival curve with alpha = 0.51 +/- 0.05 Gy(-1) and R(2) = 0.883

296 he observed ion intensities using a standard curve with curve parameters unaffected by the presence o

297 ologic tumor volume [BTV], and time-activity curves with minimal time to peak [TTPmin]) were evaluate

298 Dose-response curves with the allergens in BAT allowed a differentiate

299 ng, linear, convex, and occasionally concave curves with typically negative, but also sometimes posit

300 under the receiver operating characteristic curves (with 95% CIs) being 0.99 (0.98-1.00) and 0.97 (0