ライフサイエンスコーパス: uncertainty

1 needed before grab sampling results had less uncertainty.

2 ected by background bin and target amplitude uncertainty.

3 the economic analyses indicated substantial uncertainty.

4 s, and in the presence of transduction noise uncertainty.

5 s variant type, gene features and positional uncertainty.

6 of irrigation systems and the management of uncertainty.

7 reshold, they would be detected with a known uncertainty.

8 roposed to promote learning in conditions of uncertainty.

9 d that we did not account for all sources of uncertainty.

10 rimarily leaf area, are the sources of model uncertainty.

11 nd full transmission within the experimental uncertainty.

12 Europe and Greenland were synchronous within uncertainty.

13 quick succession to characterize measurement uncertainty.

14 ity in the face of increasing and inevitable uncertainty.

15 provides optimal classification under model uncertainty.

16 ality and prevalence, including estimates of uncertainty.

17 ty analyses were conducted to evaluate model uncertainty.

18 o simulation to systematically consider data uncertainty.

19 for this application due to their intrinsic uncertainty.

20 a region implicated in decision-making under uncertainty.

21 of information and coherently characterizing uncertainty.

22 rocess that disentangles distinct sources of uncertainty.

23 le changes in its activity signal unexpected uncertainty.

24 al emissions have been associated with large uncertainties.

25 significantly improved prediction bands and uncertainties.

26 n poorly quantified and estimates have large uncertainties.

27 ment (LCA) results are inevitably subject to uncertainties.

28 The uncertainty (1sigma) based on repeated measurements acro

29 put "America first" are creating anxiety and uncertainty about America's domestic health policies and

30 ure accounting for 82% of this reduction and uncertainty about caseload only accounting for 12%.

31 global vegetation models (DGVM) exhibit high uncertainty about how climate change, elevated atmospher

32 However, uncertainty about how ecosystems respond to decadal chan

33 estion its justification given the potential uncertainty about its interpretation.

34 There is uncertainty about the accuracy or clinical utility of al

35 bias could be driven by enhanced aversion to uncertainty about the decision outcome (e.g., risk) or a

36 or uncertainty in the assessed impact due to uncertainty about the ecological dynamics.

37 However, there is uncertainty about the effectiveness of this strategy and

38 development of new treatments is hindered by uncertainty about the nature of the aggregates and their

39 ve cycles (i.e., that increasingly minimized uncertainty about the nature of upcoming stimuli).

40 Our results suggest there is greater uncertainty about the risks to ecosystem integrity and r

41 Uncertainty about whether or not a species is extinct is

42 ut when to stop use of OPV in the context of uncertainty about whether or not all types of wild polio

43 driven with meteorological forcings spanning uncertainty across climate change models.

44 llenging to quantitatively assess because of uncertainty across species in the 'ageing rate:' the rat

45 efficient decision making, provided that the uncertainty affects prioritization of actions.

46 determination of these parameters and their uncertainties allow for accurate predictions of the acou

47 studies are needed to evaluate whether this uncertainty also influences the prediction of average di

48 lization were larger than direct temperature uncertainties among models.

49 Here, we studied causes of uncertainty among 16 crop models in predicting rice yiel

50 In this article, we refine the analytical uncertainty analysis by a more precise, second-order Tay

51 For analytical uncertainty analysis, we recommend using the second-orde

52 le, LCA results should be complemented by an uncertainty analysis.

53 With these uncertainties and no reliable methods of individual risk

54 Our analysis of the key uncertainties and open questions of and beyond the inven

55 ch in forecasting climate change impacts and uncertainties and should help land managers to maximize

56 ssian mixture that accounts for localization uncertainty and background.

57 nformation with existing knowledge to reduce uncertainty and change attitudes about treatments in car

58 f systems or models that work robustly under uncertainty and environmental fluctuations is a key chal

59 general lack of attention to characterizing uncertainty and handling missing data should be taken in

60 ccumulation of evidence during probabilistic uncertainty and in enhancing delay discounting.

61 Large uncertainty and lack of exposure data prevent a full ris

62 eonatal herpes is crucially needed to reduce uncertainty and refine future estimates.

63 nally generated climate explain most of this uncertainty and that the balance between water-saturated

64 decisional impulsivity, possibly reflecting uncertainty and the relative balance of rewards and loss

65 stems requires approaches that are robust to uncertainty and to regime shifts.

66 by determining the density (0.1-1% relative uncertainty) and compressibility (1-3% relative uncertai

67 e long timescales, dynamic systems with high uncertainties, and are typically confounded by other dri

68 ssed, and the extent to which other drivers, uncertainties, and decision making are incorporated.

69 edictions probabilistic with clearly defined uncertainties, and they are thus particularly useful for

70 the data have a high-level of missingness or uncertainty, and are thus more amenable to a probabilist

71 ate relation between attentional mechanisms, uncertainty, and decision making and may assist the adva

72 chanisms that underpin decision-making under uncertainty, and suggest new approaches for investigatin

73 on of the first- and second-order analytical uncertainty approaches by comparing analytical variances

74 f change and account for multiple sources of uncertainty are needed.

75 sion events and sequence data is obscured by uncertainty arising from four largely unobserved process

76 lyzes all samples simultaneously, preserving uncertainty as to the breakpoints and magnitude of CNVs

77 o et al was not used, and we explain why our uncertainty assessment is complete and how it was misund

78 equires trial-to-trial representation of the uncertainties associated with task variables and subsequ

79 S, both computational effort and statistical uncertainties associated with the correction for spectra

80 Our study quantifies the uncertainty associated with different methods of measuri

81 puts, temperature, and moisture suggest that uncertainty associated with freeze-thaw processes as wel

82 The uncertainty associated with inference from a small sampl

83 on, a Bayesian learning technique, providing uncertainty associated with predictions.

84 C year(-1) , and evaluate the corresponding uncertainties based on Monte Carlo simulation.

85 te index of climate change vulnerability and uncertainty based on the level of agreement between mode

86 nderlying trajectory, and provides estimated uncertainty bounds.

87 The establishment of the uncertainty budget reveals that the main contribution to

88 This study aimed to address these uncertainties by estimating the impact of liver fluke in

89 urces provide platforms with which to reduce uncertainty by providing population-level data around bi

90 These deep uncertainties call for the development of robust adaptiv

91 respective of climate modeling and emissions uncertainty, can be as low as 28% with one method and up

92 ully performed survey with LORRI could yield uncertainties comparable to those from galaxy counting m

93 ed to determine the density (0.1-1% relative uncertainty), compressibility (1% relative uncertainty),

94 as been little work on exploring the textual uncertainty conveyed by the author.

95 nventory data set including both nominal and uncertainty data is calculated for each stage of the alg

96 This article contributes to reliability and uncertainty discourses in MFA, exemplifying the usefulne

97 We find that the uncertainty dramatically depends on both the atom-cavity

98 Early resolution of uncertainty during an epidemic outbreak can lead to rapi

99 ESL uncertainties exceed those from global SLR projections a

100 h Pacific, which further suggests that large uncertainties exist on aerosol-climate interactions over

101 cination remains cost-effective, substantial uncertainty exists as to whether low-risk elderly vaccin

102 lead us to conclude that a higher degree of uncertainty exists in land use projections than currentl

103 However, instrument uncertainty factors (high cost, reliability, accuracy, a

104 We report probabilistic uncertainties for 18 core quantities of the AEO 2016 pro

105 supply and demand of water, leading to large uncertainties for sustainable resource management.

106 highlight the magnitude of the fuel-induced uncertainty for both SN within the Emissions Data Bank a

107 focus on improving identification of textual uncertainty for events and explore how it can be used as

108 e present a framework for optimization under uncertainty for heterogeneous catalysis reaction network

109 carbon (C) mineralization remain a critical uncertainty for predicting ecosystem-climate feedbacks.

110 for investigators who would like to estimate uncertainty from statistical error on individual ADC mea

111 We present a novel method for extracting uncertainty from the literature using a hybrid approach

112 The initial 629 uncertainties, generated from a survey of 170 individual

113 s possess broad adaptations to environmental uncertainty, giving rise to key features of the behavior

114 Resolution of this uncertainty has important implications for research on p

115 Considerable uncertainty has persisted regarding the oil's fate and e

116 lative sensitivity of impacts to "adaptation uncertainty" (i.e., the inclusion/exclusion of adaptatio

117 Emerging therapies, controversies, and uncertainties in asthma management are also discussed.

118 can be complicated by sediment preservation, uncertainties in chronology, and topographical setting.

119 uture global and regional SLR, corresponding uncertainties in contemporary ESL have not been assessed

120 thoughtfully considered in order to minimize uncertainties in empirical understanding.

121 nparametric bootstrap to quantify estimation uncertainties in functions of network degree distributio

122 This result will reduce uncertainties in future climate projections, because we

123 Here, we identify and quantify uncertainties in global and European land cover projecti

124 is currently a major carbon sink, there are uncertainties in how long the current carbon sink will p

125 lts shed light on the prevailing mechanistic uncertainties in human P450-catalysed metabolism of the

126 statistical analysis and leads to increased uncertainties in identifying different states.

127 sponsible for some of the largest sources of uncertainties in our current understanding of climate ch

128 Despite the inherent uncertainties in predicting future climate, we found tha

129 Chief among the uncertainties in risk assessment for NA is whether human

130 change is poorly constrained owing to large uncertainties in the degree to which processes that infl

131 dulus using different AFMs revealed that the uncertainties in the determination of the deflection sen

132 rcise aimed to produce a list of the top ten uncertainties in the field that reflect the priorities o

133 us ecosystems are sparse, resulting in large uncertainties in the global H2 budget.

134 for certain material parameters means large uncertainties in the model output.

135 ) in rats to learning under expected outcome uncertainty in a novel delay-based task that incorporate

136 any ACC-neurons represent expected value and uncertainty in a valence-specific manner, signaling valu

137 A key uncertainty in assessing and predicting the impacts of A

138 Considering uncertainty in both cost and effect using a wide range o

139 , finding that it is important to reduce the uncertainty in both of these if we are to better determi

140 tional approach (bootstrapping) to propagate uncertainty in calibration data through all data manipul

141 ns and have not considered the full range of uncertainty in climate projections.

142 climate change feedback and major source of uncertainty in climate projections.

143 ther justify data use choices, or report the uncertainty in derived results.

144 ons also provided a means of quantifying the uncertainty in each measurement by relating the fit resi

145 t infectious disease could lead to increased uncertainty in estimates of species' vulnerability to cl

146 guidance on how to evaluate and communicate uncertainty in future energy outlooks.

147 op a statistical model that incorporates the uncertainty in in vivo measurements, in addition to elec

148 We account for the uncertainty in model parameters by incorporating paramet

149 sible for the highest fraction of predictive uncertainty in modeled biomass, highlighting the need to

150 ion disorders, their treatment, and areas of uncertainty in need of future investigation.

151 data synthesis that can substantially reduce uncertainty in our ability to model tropical forest resp

152 o provide robust inferences and quantify the uncertainty in our estimates.

153 complicated by issues such as noisy data and uncertainty in parameters and initial conditions.

154 However, to achieve the minimum uncertainty in population estimates, we propose that the

155 Uncertainty in projections is associated with the models

156 esses in 29 wheat models account for >50% of uncertainty in simulated grain yields for mean growing s

157 Uncertainty in simulated yield decreased from 38% to 20%

158 ynamics is likely one of the main sources of uncertainty in SOC predictions from the process-based SO

159 events, owing to the ability to account for uncertainty in the assessed impact due to uncertainty ab

160 ric models constitutes the largest source of uncertainty in the calculation of the cirrus formation r

161 Uncertainty in the effect of each mutation accumulates a

162 lo simulation was performed to determine the uncertainty in the emissions and found that the uncertai

163 was larger from P than from N, mainly due to uncertainty in the fraction of deposited P that is fixed

164 Uncertainty in the future of tropical and subtropical dr

165 a large climate model ensemble, we quantify uncertainty in the influence of global warming on the se

166 e importance for benthic ecology of reducing uncertainty in the magnitude and seasonality of seafloor

167 We conclude that the uncertainty in the mean meridional overturning circulati

168 observable Boolean state vector and allowing uncertainty in the measurement process, addressing the s

169 With signal averaging, the inherent uncertainty in the measurements decreases; consequently,

170 lation was performed to evaluate the risk of uncertainty in the model's prediction, and to define the

171 ral tens of pptv) globally introduce a large uncertainty in the modeling of O3 formation.

172 A major source of uncertainty in the population weighted biomarker loads g

173 ystem blockade, which might generate further uncertainty in the therapeutic choice.

174 the key physiological parameters that drive uncertainty in tropical forests responses to climatic ch

175 ures, which were sensitive to distortion and uncertainty in vascular structure, we proposed a novel r

176 climate impact on crop yield, but have large uncertainty in yield simulations.

177 n unclosed energy balance caused the largest uncertainties, in particular if it was associated with e

178 biases increased when auditory localisation uncertainty increased.

179 764.8 +/- 0.3/0.6 ka (2sigma analytical/full uncertainty) indicating eruption only approximately 7 ky

180 By considering the magnitude of the uncertainty (interquartile range and the root-mean-squar

181 B surface antigen remains high at 6.1% (95% uncertainty interval 4.6-8.5).

182 ision impairment in 2015 (216.6 million [80% uncertainty interval 98.5 million to 359.1 million]), th

183 live in 2015, an estimated 36.0 million (80% uncertainty interval [UI] 12.9-65.4) were blind (crude p

184 ally resulting in approximately 150,500 (95% uncertainty interval [UI] 141,400-158,500) CVD deaths pr

185 We estimated that 239 000 (95% uncertainty interval [UI] 194 000-298 000) children youn

186 Exposure to PM2.5 caused 4.2 million (95% uncertainty interval [UI] 3.7 million to 4.8 million) de

187 in the FP2020 focus countries was 45.7% (95% uncertainty interval [UI] 42.4-49.1), unmet need for mod

188 increased by 4.2 years from 79.0 years (95% uncertainty interval [UI] 79.0 to 79.0) to 83.2 years (8

189 spending on children increased from $149.6 (uncertainty interval [UI], 144.1-155.5) billion to $233.

190 ns in 2014, a relative decline of 50.2% (95% uncertainty interval [UI], 49.5%-50.8%).

191 We estimated that there were 319,400 (95% uncertainty interval, 297,300 to 337,300) deaths due to

192 We then decompose the uncertainty into that associated with future climate cha

193 ention is complex and potentially introduces uncertainty into the analysis, sensitivity analyses can

194 Since the complete elimination of uncertainties is impossible, LCA results should be compl

195 bution to particle concentration measurement uncertainties is the electrospray transmission efficienc

196 Perceptual uncertainty is known to influence choices, but it has be

197 shift of anticyclonic airflow in summer, but uncertainty is larger for spring with only half of the s

198 ions are, particularly because in some cases uncertainty is not reducible.

199 This uncertainty is related to several factors, including rel

200 standard evolutionary explanation, paternity uncertainty, is incomplete, and present an expanded mode

201 Anxious subjects' exaggerated response to uncertainty leads to a suboptimal decision strategy that

202 ble from the surrounding glass at the 2sigma uncertainty level (where sigma represents the standard d

203 Bayesian CALPHAD framework that accounts for uncertainties not only in ab initio calculations and the

204 However, the uncertainties of (reduced) model ensemble simulations ha

205 ta(18)O isotopic composition allows standard uncertainties of 0.18 per thousand and 0.48 per thousand

206 The relative expanded measurement uncertainties of beta-cyanoalanine and gamma-glutamyl-be

207 directed towards quantifying projections and uncertainties of future global and regional SLR, corresp

208 ion of BC's climate effect is limited by the uncertainties of its spatiotemporal distribution, especi

209 e performed by reference to the experimental uncertainties of observed yields and N2 O emissions.

210 hop, were narrowed down to the final top ten uncertainties of priority for future research.

211 systems, with an accuracy comparable to the uncertainties of sophisticated models but about ten mill

212 he expected one and is given with a standard uncertainty of 8.8 x 10(-9) mol mol(-1).

213 lector (DBR) cavity with an average position uncertainty of approximately 20 nm using an optimized ph

214 rals; and (4) the magnitude and quantitative uncertainty of As mobilization are predicated on the val

215 and nitrogen cycling and a reduction in the uncertainty of carbon-climate feedbacks in the Earth sys

216 Sensitivity tests show that uncertainty of Cnu dep was larger from P than from N, ma

217 However, the large uncertainty of HONO sources and chemistry hinders an acc

218 Work remains to better constrain uncertainty of NCS mitigation estimates.

219 d graders assessed the presence, absence, or uncertainty of RPD/SDDs on conventional multimodal image

220 ives a contribution to the relative standard uncertainty of the Avogadro constant of 6.3 x 10(-10).

221 This methodology acknowledges the inherent uncertainty of the classification and provides a natural

222 issues surrounding informed consent and the uncertainty of the results of genomic testing; the chall

223 yesian fashion, taking into account both the uncertainty of their initial beliefs and the reliability

224 mate and substantially reduces accuracy, the uncertainty of this classification is typically ignored.

225 The measurement uncertainty of this starch digestibility method is evalu

226 A key uncertainty of wastewater-based epidemiology is the size

227 ertainty) and compressibility (1-3% relative uncertainty) of previously well-characterized polymer mi

228 rchical Bayesian model is employed to assess uncertainty on a gene level, incorporating information o

229 clinical practice, there is still widespread uncertainty on how to manage patients on NOACs who bleed

230 entially suitable for transmission given our uncertainty on the current distribution of this species

231 on its preparation; however, there is still uncertainty on the mechanism leading to LGO.

232 on one or a few samples per tumour, creating uncertainty on whether alterations found in those sample

233 Despite model uncertainty, our empirical results suggest that combined

234 f glacier flow conditions and layer counting uncertainty, our record shows a doubling of precipitatio

235 ctomy surgery, although with a high level of uncertainty owing to low event rates.

236 r than in the local Universe, the systematic uncertainties (owing to the chosen stellar initial-mass

237 lts indicate that under conditions of target uncertainty, people do not execute an average of planned

238 Uncertainty persists regarding nonfatal health outcomes

239 valence-specific manner, signaling value or uncertainty predictions about either rewards or punishme

240 ll datasets to quantify this "data selection uncertainty" problem, and either justify data use choice

241 ession to recovery (median 16% per year, 95% uncertainty range 11%-21%).

242 stant tuberculosis in 2024 would be 3.3 (95% uncertainty range 2.2-5.6) per 100 000 population with t

243 gression (median doubling time: 84 days, 95% uncertainty range 62-104) and a low, but nonzero, probab

244 Worldwide in 2015, we estimated 205000 (uncertainty range [UR], 101000-327000) infants with earl

245 eline TB incidence and mortality of 157 (95% uncertainty range [UR]: 113-187) and 16 (95% UR: 9-23) p

246 the tropics and sub-tropics, thus within the uncertainty range of IPCC-EF.

247 The uncertainty ranges do not overlap, thus confirming that

248 However, there has been significant uncertainty regarding a method to separately derive lung

249 There is substantial uncertainty regarding the optimal surgical treatment for

250 membranes and cellular organelles has led to uncertainty regarding the origin of the viral membrane.

251 f WGDs within a major plant clade has led to uncertainty regarding the potential association of WGDs

252 e of reward-related, punishment-related, and uncertainty-related behaviors, we show that many ACC-neu

253 t ACC could be a target for the treatment of uncertainty-related disorders of mood.Rewards or punishm

254 explore the dynamic behavior of the entropic uncertainty relation for a pair of incompatible observab

255 tigate the dynamic behaviors of the entropic uncertainty relation of an atom-cavity interacting syste

256 ed by the Heisenberg measurement-disturbance uncertainty relation.

257 However, uncertainties remain about the strength and consistency

258 rate and rapid method to quantify them, many uncertainties remain that hamper proper functional and s

259 The levels of uncertainty remaining in parameters calculated from thes

260 ion provides a robust method for visualizing uncertainty remaining in the model parameters, regardles

261 Uncertainty remains about the relative benefits of prima

262 Uncertainty remains as to which markers of bleeding risk

263 Although uncertainty remains for some of the characters, our reco

264 s in aculeate phylogeny [4-11], considerable uncertainty remains regarding higher-level relationships

265 However, uncertainty remains regarding the evolutionary relations

266 norepinephrine reuptake inhibitor users, but uncertainty remains whether this is due to chronic effec

267 We address the major sources of uncertainty reported in previous studies by modifying (1

268 ders and that it is not easily responsive to uncertainty resulting from variability in donor and list

269 e uncertainty), compressibility (1% relative uncertainty), scattering coefficients, and acoustic cont

270 Importantly, uncertainty should not be reduced purely based on how su

271 Also, this first demonstration of punishment-uncertainty signals in the brain suggests that ACC could

272 e sources of these errors include mechanical uncertainties, specimen photobleaching, segmentation, an

273 high inconsistency across studies leave some uncertainty, suggesting an actual prevalence of between

274 ses in T accounted for the highest amount of uncertainty, suggesting that methods and parameters for

275 the first animals should instead embrace the uncertainty surrounding early animal evolution in their

276 nce of multi-model ensembles to estimate the uncertainty surrounding the future GPLLJ climatology.

277 We calculate that by resolving the uncertainty surrounding vaccination capacity we would ex

278 Considerable uncertainty surrounds the impacts of anthropogenic clima

279 hniques studied in this work include Martens Uncertainty test, interval Partial Least Square Regressi

280 bject to scale-dependent and method-specific uncertainties that compromise their ecophysiological int

281 btle but complex types of errors, biases and uncertainties that impose several statistical and comput

282 The development of LRAs is burdened by many uncertainties that make drug discovery difficult.

283 tudy should be to identify and resolve those uncertainties that most hinder the choice of an optimal

284 ated by both fear and emotion ambiguity (the uncertainty that a facial expression is categorized as f

285 n solvent recovery was found to be a crucial uncertainty that may have a substantial influence on the

286 advanced donation include the management of uncertainty, the extent of donor and recipient consent,

287 ch the target 2.0 x 10(-8) relative standard uncertainty, the mass of the surface layer and the mass

288 We attribute this uncertainty to physico-chemical heterogeneity of the asp

289 subjective logic theory to combine multiple uncertainty values extracted from different sources for

290 of yields with increasing temperature, with uncertainty varying with reference temperature at a loca

291 ertainty in the emissions and found that the uncertainty was larger for pipelines (up to +/-73%) and

292 ; p=0.070) and, taking into account sampling uncertainty, was likely to represent a cost-effective us

293 To address these uncertainties we assessed the effects of temperature and

294 To cope with uncertainty, we extended a reinforcement learning model

295 eliance on prior knowledge to reduce sensory uncertainty, we found that auditory localisation biases

296 Accuracy, precision and uncertainty were estimated for the first time in the kin

297 , LOQ, LOD, Q/q relative ion intensities and uncertainty were reported.

298 08 Pg yr(-1) , but also highlight regions of uncertainty where more observations are required or envi

299 duced by 11% by resolving all model-specific uncertainties, with information about model structure ac

300 certain WAIS contribution can dominate other uncertainties within decades.