ライフサイエンスコーパス: metric

1 ility in the absence of a true gold standard metric.

2 ity using the proportion of treatment-effect metric.

3 SI) rates are increasingly used as a quality metric.

4 ained increasing importance as a key quality metric.

5 develop an intensity-adjusted IDW well-count metric.

6 he amino acids that govern variation of this metric.

7 ential future unintended consequences of the metric.

8 d in terms of revenue or another appropriate metric.

9 ed serum PFOA concentrations as the exposure metric.

10 presentation, but also its underlying coding metric.

11 ranked using several classification quality metrics.

12 strongly connected to the other right heart metrics.

13 ingle-cell contours and extract quantitative metrics.

14 American Journal of Pathology beyond normal metrics.

15 ) and asthma control using validated outcome metrics.

16 orly characterized by existing biomechanical metrics.

17 reviously established stable isotope bi-plot metrics.

18 problems and provides novel cluster quality metrics.

19 red conservation objectives and biodiversity metrics.

20 n among the suite of environmental diversity metrics.

21 erogeneity was observed for all investigated metrics.

22 ed by principal components analysis of these metrics.

23 The mean CoV was </=4.5% across the DKI metrics.

24 ise to sensitively modulate important device metrics.

25 exceeding national post-transplant survival metrics.

26 ly risk stratify patients using standardized metrics.

27 in PET and low-dose CT varied greatly among metrics.

28 vement in any of 4 primary composite quality metrics.

29 of 27 published models using standard graph metrics.

30 ntation following current FDA bioequivalence metrics.

31 me drugs, which is consistent with surrogacy metrics.

32 lpha diversity metrics, and 4 beta diversity metrics.

33 tructures, and experimental lattice cohesion metrics.

34 asculatures using vessel-based and FAZ-based metrics.

35 Of 10 potential predictors including 7 PET metrics, a BSL greater than 6,852 (P = 0.017) was chosen

36 Regression analysis showed that cerebellar metrics accounted for extra variance in both motor and c

37 icantly impacted all three major demographic metrics (adult mortality, neonatal mortality and birthra

38 This metric allows rapid and rigorous evaluation of specimen

39 We used these metrics and 24 datasets to evaluate six widely used PA m

40 o significant correlations between somato-SG metrics and age.

41 were extracted from the Institute for Health Metrics and Evaluation Disease Expenditure 2013 project

42 of body weight changes, on energy-metabolism metrics and glycemic control.The study was a randomized,

43 sion analyses were conducted between imaging metrics and PFS.

44 To examine the association between genomic metrics and the extent of immune infiltration in TNBCs.

45 CO2 had minimal effects on plant and soil N metrics and their responses to plant diversity, whereas

46 We assessed the correlation between these metrics and used spline models to test for the presence

47 nificant improvements over standard clinical metrics and visual interpretation for discriminating ben

48 tive abundance of 3 phyla, 2 alpha diversity metrics, and 4 beta diversity metrics.

49 a city at the 25th percentile for those same metrics, and exhibiting sprawl-like suburban development

50 Hype-driven claims, not fully appropriate metrics, and negligence of key parameters are probably s

51 the 75th percentile for all three urban-form metrics, and with a network of buses, trams, and bicycle

52 These outstanding performance metrics are attributed to the large loading of active ma

53 getated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal

54 Population-level disease metrics are critical to guide the distribution of resour

55 The routing metrics are derived from the characteristics of entangle

56 basis, empirically demonstrating that these metrics are not independent.

57 Accurate dose metrics are particularly important for in vitro cellular

58 Other metrics are therefore needed to understand the drivers o

59 ated an "intention-to-treat" survival (ITTS) metric as the percentage of waiting list candidates surv

60 s, Bragg peaks, and guided algorithm fitness metrics as a function of signal-to-noise ratio.

61 ch of investigating population-level smoking metrics as moderators.

62 The metrics assessed (unit energy, GHG emissions, and cost)

63 currence in the NEPTR may be predicted by FA metrics at baseline in patients with glioblastoma.

64 In particular, in subjects with >/=5 metrics at the ideal level (compared with those with </=

65 on of energy eigenstates leads to a nonfixed metric background.

66 idea is to organize sequences into a pseudo-metric based partitioning tree for sub-linear time searc

67 We suggest risk metrics be placed in a more concrete conceptual framewor

68 ), form an attractive platform to build risk metrics because they can easily incorporate disparate pi

69 nce and spatial autocorrelation, we compared metrics between sexes, between population types (histori

70 Across all metrics, both scenarios performed the same, but the opti

71 -traits was not significantly related to DTI metrics but inattention scores were related to AD in cor

72 Among these metrics, CA1-SRLM thickness was positively associated wi

73 Landscape and climate metrics calculated for each site demonstrated that imper

74 This metric can be used to estimate the probability of rates

75 This procrustes metric carries information on the functional outcome of

76 atitudinal gradient and estimated a suite of metrics characterizing phylogeographic history.

77 In this study, we devised two novel metrics, Cohort Coverage Sparseness (CCS) and Unevenness

78 ulation attributable risk for these Simple 7 metrics combined was 37.1%.

79 IPs according to specificity and selectivity metrics; commercial MIPs were characterized by quite bro

80 The proposed robustness metric considers both the efficiency of destroying the A

81 No single standard clinical metric correlated directly with CCK responsiveness.

82 Density metrics correlated with age.

83 evolved and multiplied in number, the tumor metrics criteria used to characterize therapeutic respon

84 d outcomes sets for ophthalmic conditions to metrics currently reported by eye hospitals.

85 This report contains new and follow-up metric data relating to the eight main recommendations o

86 We built covariates using contact network metrics, demographic information and infection status, a

87 PET stability metrics demonstrated that PET quantitation was not affec

88 provide a formulation which shows how these metrics depend on the signal transduction noise level.

89 ce amongst the three functional connectivity metrics depends primarily on the network correlation lev

90 The spectral-temporal metrics derived from 2009-2011 Landsat imagery (overall

91 o investigate the relationship between pupil metrics derived from this novel task and quantitative be

92 iate set contained degree, a classic network metric describing node centrality, but also included cov

93 Anterior chamber angle metrics did not differ significantly from morning to aft

94 s based on different environmental diversity metrics differed substantially from each other and from

95 Changes in eastern Pacific ENSO SST metrics due to climate change are secondary to the model

96 Key correlative science metrics emerge for an upcoming clinical trial, testing e

97 Metrics evaluated included peak number, skewness, and ku

98 all, natural temporal variation in community metrics exceeded the effects of fishing in this highly d

99 to both mild hyperoxia and normoxia for all metrics except for the worst PaO2.

100 We found no major differences in these metrics, except for differential expression of a Y-chrom

101 ecosystem functions and ecosystem condition metrics exhibited thresholds in response to a gradient o

102 Our unpredictability metric expands the scope of quantitative biomechanical s

103 Metrics extracted from the automatically tracked spindle

104 nt influence of ASD diagnosis on several DTI metrics (FA, MD, RD, and AD), primarily in the corpus ca

105 e true rate, the most important and harshest metric for assessing multi-label systems.

106 us, CD4 absolute numbers are an inconsistent metric for assessing organ donor risk, irrespective of H

107 amics could therefore provide an informative metric for assessing the efficacy of novel drug combinat

108 anisotropy (FA), the most commonly employed metric for assessing white matter.

109 This study suggests that LOS is an important metric for characterizing and interpreting phonon propag

110 ficant as auPR curves are argued as suitable metric for comparison for imbalanced datasets similar to

111 The best metric for encoding variability is coefficient of variat

112 The failure-to-rescue rate is a useful metric for evaluating quality in surgery.

113 entially neutralizing Ab may be an important metric for evaluating vaccine responses to highly penetr

114 robust program that provides a standardized metric for genotype comparisons would be useful.

115 rs, but it is not appropriate as a screening metric for glaucoma.

116 fection (molFOB) is a quantitative surrogate metric for malaria transmission at population level and

117 sults provide an immediately useful clinical metric for patient stratification and prognostication.

118 ngs is incorporated as a complementary value metric for patient-centered care of chronic conditions i

119 radiation treatment conditions is a reliable metric for quantifying gene expression.

120 Further, we propose a metric for quantifying the degree of energetic coupling

121 icular, we introduce a novel reproducibility metric for quantifying the similarity between contact ma

122 se and survival, and to provide an important metric for systematic clinical risk stratification and t

123 In this study, we define a metric for the degree of isohydricity at the ecosystem s

124 Academic metrics for 3850 faculties at the top 55 NIH-funded univ

125 Standardized metrics for alert fatigue is needed to advance the field

126 cteristics of existing and newly constructed metrics for arterial hyperoxia were examined, and the as

127 ill help clinicians understand the available metrics for assessing discrimination, calibration, and t

128 modified Delphi approach to select relevant metrics for assessing patient-level interventions in acu

129 ncident with the collection of environmental metrics for eight sites located in the western basin of

130 come pathways based on ecologically relevant metrics for exposure and effect can bring risk assessmen

131 ering depth-dependent behavior of similarity metrics for identical and unrelated samples.

132 Variability in the metrics for image acquisition at the total body, regiona

133 ndividuals with a view to obtain comparative metrics for lifelong LTL attrition and learn about the t

134 l results revealed that hospital performance metrics for mortality showed significant climate depende

135 ile, and the number of citations as suitable metrics for quality consideration.

136 Using metrics for quantifying the diversity of ecological comm

137 We introduce several new resilience metrics for quantifying the resilience of critical mater

138 lute true rate, the most important and harsh metrics for the multi-label systems.

139 ite of recent developments in ozone exposure metrics, from a concentration-based to a more physiologi

140 Most process metrics had significantly greater changes in the ERAS ta

141 Quantifying this important metric has been greatly advanced by noninvasive techniqu

142 st applications, and lack of standardization metrics has hindered independent experimental comparison

143 Commonly used risk metrics have been based on logistic regression models th

144 Functional connectivity metrics have been widely used to infer the underlying st

145 ddress the former, we assess by a variety of metrics how accurately humans are able to predict influe

146 itive treatment effect was detected with all metrics; however, DeltaRnet showed a lower intersubject

147 sive report with several comparative quality metrics; (ii) constructs the most confident merged scaff

148 ergency surgery is a key quality improvement metric in both the United States and UK.

149 All-cause readmission is the only metric in current use, and risk factors for surgical rea

150 In biological terms, a higher false alarm metric in this abnormal TNF signaling system indicates p

151 Life's Simple 7 ideal cardiovascular health metrics in 4195 blacks in the JHS.

152 ver, no studies have directly compared these metrics in a contemporary population that includes poten

153 mpact and to summarise the common themes and metrics in an impact matrix.

154 ous circadian clock, on specific performance metrics in Major League Baseball.

155 hould consider these alternative readmission metrics in strategies for risk reduction and cost saving

156 plings against other functional connectivity metrics in the microscopic scale of neuronal networks th

157 metagenes correlated separately with genomic metrics in the three major breast cancer subtypes.

158 We compared these metrics in undisturbed primary forest and intensively lo

159 lowed observed values across a wide range of metrics including aboveground biomass, tree diameter gro

160 Dose metrics including volumetric CT dose index, dose-length

161 hold structure where known, and a variety of metrics including workforce participation and school enr

162 Regardless of the chosen metric (increased [Formula: see text]e-[Formula: see tex

163 t at the system input, whereas a higher miss metric indicates that it is highly likely to miss signal

164 carbon neutrality hypothesis by introducing metric indicators to assess the global warming potential

165 QC, parsing results, and aggregating quality metrics into an interactive dashboard designed to richly

166 lso included covariates breaking the network metrics into subsets that differentiated between contact

167 the ecosystem scale in analogy with a recent metric introduced at the species level.

168 on surgery, and the 7 that did evaluate this metric involved porous implants.

169 as estimated by Rao's Q quadratic diversity metric is a good proxy of K N .

170 Using data from the AMSR-E satellite, this metric is evaluated globally based on diurnal variations

171 The metric is interpolated at the recorded point of MS(2) ac

172 Reporting both size and mass based metrics is common in atmospheric particle measurements,

173 ion models to determine which combination of metrics is most accurate in diagnosis.

174 It is unclear to what extent different metrics lead to consistent delineation of hotspot bounda

175 The demonstrated application of deep metric learning to large-scale chemical genetics project

176 analysis was then applied in the form of non-metric multidimensional scaling analysis (NMDS), permuta

177 hereof with alterations in acylcarnitines, a metric of beta-oxidation, across stages of CKD.

178 ominant choice signals can bias the standard metric of choice preference (choice probability).

179 We used Direct Information (DI) as a metric of connectivity between proteins as well as gene-

180 t in health topics and may be an alternative metric of disease characteristics when traditional sourc

181 the monolayer provided a continuous spatial metric of EC orientation, markers of ER stress, VCAM-1 a

182 tivity level (personality) predicted neither metric of foraging success, indicating that behavioral I

183 e focused on the 95th percentile of R2* as a metric of high iron content.

184 Cryptococcal meningitis is a metric of HIV treatment programme failure; timely HIV te

185 survival is typically considered the primary metric of lung transplant center performance in the Unit

186 ach, we introduce versatility, V, as a novel metric of nodal affiliation: V approximately 0 means tha

187 was introduced about 3 years ago as a novel metric of postoperative morbidity, integrating in a sing

188 ans may reduce unwarranted variation on this metric of quality.

189 cessive thresholds (36%, 38%, and 40%), as a metric of regional metabolic stress, were compared pre-

190 Here, we examine an individual metric of site and habitat fidelity, using tracking data

191 ncRNA transcription provided a quantitative metric of Tbx5-dependent enhancer activity, correlating

192 ts of acceptability for multiple biophysical metrics of "developability." Amino acid sequences from 1

193 ical thickness, along with diffusion-derived metrics of 20 major white matter tracts were extracted f

194 aluate previously used and newly constructed metrics of arterial hyperoxia and systematically assess

195 uous monitoring of multiple behaviours, with metrics of behaviours that may be considered more intuit

196 Purpose To compare three metrics of breast density on full-field digital mammogra

197 d as a global lung index for comparison with metrics of bronchodilator response measured by using spi

198 ; left ventricular hypertrophy; and worsened metrics of diabetes, hypertension, and hyperlipidemia.

199 mingham risk, and it provided improvement in metrics of discrimination and reclassification.

200 from photogrammetry quantified the following metrics of habitat quality: 1) visual exposure to predat

201 Metrics of heterogeneity, including median odds ratio (M

202 and performed graph theory to obtain network metrics of integration within (local efficiency) the DMS

203 We sought to assess potential metrics of organ procurement organizations (OPOs) utiliz

204 , indicating that behavioral IIV can predict metrics of success that personality does not.

205 (single scattering albedo, SSA), along with metrics of the structure of the spatial field of these p

206 r findings demonstrate that key quantitative metrics of these networks correlate with the continuum o

207 palm oil, as well as annual remotely sensed metrics of tree cover loss and fire occurrence, to evalu

208 ar associations were also observed for other metrics of UV.

209 These were combined into metrics of vulnerability, including an overall index and

210 ermine the covariation between brain imaging metrics of WM-network activation and connectivity and no

211 l other dental specialties in every measured metric on the Yelp website.

212 tic curve and the area under the curve (AUC) metrics on manually curated datasets confirmed the excel

213 rting associated sensitivity and specificity metrics on the receiver operating characteristic curve.

214 Conversely, traditional postural sway metrics or SPPB performance did not associate with futur

215 predicted pTR, and composite avidity/spatial metrics outperformed avidity alone.

216 lucose (p=0.005) and hyperglycaemia (on four metrics: p=0.007 for >180 mg/dL [>10.0 mmol/L], p=0.02 f

217 The metric parameters suggest very weak Sb-Sb and Pd-Pd inte

218 ost widely cited tool underperforms for most metrics, particularly when using default settings.

219 d by using spirometry and the global imaging metric percentage ventilated volume (%VV).

220 ffect of treatment on body condition, immune metrics, plasma corticosterone concentrations, total ant

221 erception task with classical psychophysical metrics (precision and accuracy), principal component an

222 parent diffusion coefficient (ADC) histogram metrics, progression-free survival (PFS), and overall su

223 On their own, the metrics proposed here explain a larger proportion of var

224 We describe key quality metrics, provide a freely available software package to

225 that an average of the 7 individual scoring metrics provided the most effective weighted average ran

226 Fourteen metrics rated >6 in all criteria except feasibility were

227 volves the use of two mutually complementary metrics, recall and discrimination.

228 tals with high performance on 3, 2, 1, and 0 metrics, respectively (log-rank, P < 0.001).

229 7 ideal metrics with those with 0 to 2 ideal metrics, respectively.

230 er varying MR conditions using the following metrics: sensitivity, scatter fraction, contrast recover

231 gical changes detected using only one or two metrics should consequently be interpreted cautiously be

232 Performance metrics show scalability into tens of thousands of seque

233 on intensity, the influence of the embedding metric spaces and the design of reliable estimation algo

234 hts of complex networks and their underlying metric spaces play a key role in dictating the existence

235 irmed the effectiveness of our proposed dual-metric strategy by showing that previous comparative stu

236 Three of the urban form metrics studied (contiguity, circularity, and vegetation

237 denatured protein preparation in all of the metrics studied, which underscores the utility of biomim

238 and from priorities based on spatiotemporal metrics such as climatic velocity.

239 ring drug interaction fingerprint similarity metrics such as correlation and Euclidean distance.

240 e generated and acquired images according to metrics such as overall correlation coefficients and dif

241 as used to evaluate prediction accuracy with metrics such as precision, recall, and F-score.

242 This paper describes a novel, quantitative metric system that identifies and evaluates new cancer t

243 resent relationships between objects using a metric that depends on associative strength.

244 We created a summary UNGD activity metric that incorporated well phase, location, total dep

245 d a novel lung transplant center performance metric that incorporates both pre- and posttransplantati

246 The Relative Citation Ratio (RCR), a metric that was designed to serve in that capacity, meas

247 ple, paradigm can result in meaningful pupil metrics that correlate with individual differences in au

248 elp CP, it is important to define allocation metrics that enable CP to receive a better-matched kidne

249 predation per unit time); and (iii) use risk metrics that facilitate comparison among studies and the

250 eased-donor organs is compounded by donation metrics that fail to account for the total pool of possi

251 l institutions as well as on the traditional metrics that our institutions use to evaluate faculty in

252 the ICCs were below 0.60 for 95% ethanol in metrics that were more sensitive to relative abundance.

253 mmediately, the ICCs were below 0.60 for the metrics that were sensitive to relative abundance; howev

254 has resulted in the development of a numeric metric, the calculated panel-reactive antibody (CPRA) th

255 Furthermore, a new metric, the Entropy of Information, is introduced to qua

256 On the basis of this metric, the nanoporous Ir/IrO2 morphology of dealloyed I

257 As compared to traditional metrics, the degree of multi-scale complexity contained

258 l challenge, we used a phylogenetic distance metric to analyze Ig heavy-chain transcript sequences in

259 fe (HRQoL) measurement has become a valuable metric to assess the effects of disease, the quality of

260 er operating characteristic curve (AUC) as a metric to measure the precision-recall trade-off of our

261 First, we develop a metric to quantify visual change over time.

262 is mainly because while capacity is a useful metric to study information transmission in signaling pa

263 th cardiovascular disease include optimizing metrics to assess quality, ameliorating disparities, enh

264 hould be carefully considered when selecting metrics to build multiparametric models.

265 Many previous analyses have used flawed metrics to evaluate herbicide intensity and toxicity tre

266 Quantitative metrics to evaluate the results of image fusion are also

267 ctors are compared using several statistical metrics to quantify similarity/overlap of high dimension

268 d using the minimum inhibitory concentration metric, tolerance and persistence values are not current

269 to 6.8 USD per capita per year or 15 USD per metric ton of dry sludge.

270 ces, coupled with an estimated demand of one metric ton per annum for the prodrug, provides a compell

271 ss the USA alone would amount to 6.5 million metric tons annually.

272 will, conservatively, release 79-108 billion metric tons of CO2.

273 n harvest from 1975-2015 was 16,400 to 9,600 metric tons.

274 me of textiles is nearly one hundred million metric tons.

275 primary analyses, including quality control metrics, transcript alignment, count generation, transcr

276 ied on proximity to O&G wells as an exposure metric, typically using an inverse distance-weighting (I

277 dy shows that using population-level smoking metrics uncovers significant relationships between mater

278 rovider [care provider is a specific quality metric used by the CBN Risk of Bias tool]), blinding (ou

279 nces decreased in magnitude dependent on the metric used to assess bioaccumulation, in the order: Cli

280 The assessment metrics used in RNA-Puzzles are briefly described.

281 and theory, ranging from charting the design metrics useful for developing the next generation of MV-

282 to consider in defining quantitative imaging metrics using (18)F-FLT to assess tumor proliferation.

283 We demonstrate the utility of these metrics using stable isotope data; however, the approach

284 ply chains to disruptions and validate these metrics using the 2010 rare earth element (REE) crisis a

285 Performance metrics varied widely across diagnostic indications, wit

286 From these metrics, we developed a mathematical model of cancer bio

287 ining 2 alpha diversity and 3 beta diversity metrics were all relatively accurate, with ICCs above 0.

288 lus were reconstructed, and scalar diffusion metrics were calculated along the length of each tract.

289 Objective image quality metrics were compared in the phantom experiment by using

290 Nucleic acid yield and quality metrics were evaluated in relation to FFPET specimen age

291 All ratio metrics were highly cross-correlated, but generally were

292 ons underlying correlations among allocation metrics were mapped, and loci related to nitrogen uptake

293 All investigated metrics were reproducible when calculated from a truncat

294 ir trapping, have been found to be important metrics when differentiating patients with severe asthma

295 Climate landscape metrics, which signal the spatial magnitude and directio

296 Conclusion ADC is a robust imaging metric with excellent repeatability in extracranial soft

297 the t statistic and the Spearman correlation metric with multiple testing correction.

298 pontine glioma (DIPG) and to correlate these metrics with baseline MRI apparent diffusion coefficient

299 ample to compare traditional DRS performance metrics with the dry-run validation.

300 s with 3 to 4 and subjects with 5 to 7 ideal metrics with those with 0 to 2 ideal metrics, respective