ライフサイエンスコーパス: uncertainty

1 in an experiment based on their inferential uncertainty.

2 ance and aquatic photochemistry models under uncertainty.

3 vestment portfolio protects against economic uncertainty.

4 f lowering error sensitivity when faced with uncertainty.

5 tivity analyses were performed to assess for uncertainty.

6 urons and largely invariant to the source of uncertainty.

7 motivational factors and isolate the role of uncertainty.

8 ationship between OC symptoms and transition uncertainty.

9 ople reacted to changes in prior and sensory uncertainty.

10 r volume growth with statistical measures of uncertainty.

11 ersisters, to ensure survival in the face of uncertainty.

12 ne's own versus others' actions under reward uncertainty.

13 it is important to consider the role of data uncertainty.

14 bserved and estimated values and the value's uncertainty.

15 d to confirm injury or to resolve diagnostic uncertainty.

16 earning policies in response to the level of uncertainty.

17 rge, in part, because persisting can resolve uncertainty.

18 e with target values within a given level of uncertainty.

19 dulating factors, as well as model selection uncertainty.

20 the systematic uncertainty.

21 ns behavioral and computational responses to uncertainty.

22 an emerge even in the face of high paternity uncertainty.

23 and enable prey capture under conditions of uncertainty.

24 in a Bayes-optimal manner in order to reduce uncertainty.

25 done on each draw, assuming independence of uncertainty.

26 task with both reward asymmetry and temporal uncertainty.

27 This recommendation neglects many uncertainties.

28 tions and in situ patterns while considering uncertainties.

29 byssal peridotites can be affected by strong uncertainties.

30 ecision-making framework in the face of deep uncertainties.

31 orenz-Mie simulations, avoiding experimental uncertainties.

32 The overall uncertainty (1sigma) in O(3) predictions for eastern Tex

33 a consequent drastic reduction in estimation uncertainty; 2) it permits interpolation of both the ext

34 cryosphere-influenced ecosystems will reduce uncertainties about the impacts of global change and hel

35 cal testing though has resulted largely from uncertainties about the long-term toxicities of such com

36 Uncertainties about vaccine waning and effects of a dela

37 reluctance to accept UKD was in part due to uncertainty about donor motivations and whether the prac

38 tal information seeking behaviors to resolve uncertainty about future outcomes.

39 neuronal circuits in primates that represent uncertainty about future rewards and propose how they gu

40 evidence comes from Europe, however, leaving uncertainty about insect population trends worldwide.

41 t for several medical disorders but there is uncertainty about its safety.

42 earlier than their oldest known fossils, but uncertainty about stem group Myriapoda confounds efforts

43 With social distancing and uncertainty about the complete re-opening of laboratorie

44 There is uncertainty about the impact of severe acute respiratory

45 reases, so is the likelihood of encountering uncertainty about the meaning of the information.

46 There remains uncertainty about the true specificity of tests such as

47 strategies for real data analysis in face of uncertainty about the underlying biological process.

48 in which the agent continues sampling until uncertainty about trustworthiness-as measured by the wid

49 nce that MNPs might promote infection raises uncertainty about whether MNPs give net health benefits

50 tion of each estimation step; aggregation of uncertainty across age, sex, and location was done on ea

51 fidence in learning under different types of uncertainty across mammalian brains.

52 lled outcomes were subjected to multivariate uncertainty analysis.

53 ed against tide gauge data and the impact of uncertainties and assumptions on projections estimated i

54 To reduce these uncertainties and improve emission estimates, we geospat

55 (4) Consequently, sigLASSO can assess model uncertainty and abstain from making assignments in low-c

56 further assessment of the interplay between uncertainty and belief-updating across individuals and s

57 Using a neural circuit model of decision uncertainty and change-of-mind behaviour, we demonstrate

58 size, but they are surrounded by substantial uncertainty and diverging methodologies of estimation an

59 levels of anxiety, depression, distress, and uncertainty and high levels of satisfaction with testing

60 review also examines core moderators (e.g., uncertainty and insufficient self-correction) and mediat

61 ch FRET pairs should be used to minimize the uncertainty and maximize the accuracy of an integrative

62 compensate for underestimation of the model uncertainty and mitigate the influence of model error.

63 This method removes sources of systematic uncertainty and resolves problems with typical backgroun

64 ed fear discrimination consisting of danger, uncertainty and safety cues.

65 arameterization and reporting; approaches to uncertainty and sensitivity analysis; accounting for pol

66 erences were observed such as high levels of uncertainty and stress in respondents from Ireland, high

67 rticular, it lacks assessment of statistical uncertainty and the ability to perform hypothesis testin

68 m provisioning overcome costs from paternity uncertainty and the dad strategy becomes viable.

69 sses which act as the major sources of model uncertainty and those which are less influential.

70 ture clinical consequences may contribute to uncertainty and worry, because it is not yet known how t

71 als have faced a growing list of challenges, uncertainties, and, in some situations, controversy, as

72 time estimates are subject to high levels of uncertainty, and failing to account for this uncertainty

73 ndicate that feedback is more relevant under uncertainty, and its effectiveness can be influenced by

74 ng the COVID-19 pandemic involves tradeoffs, uncertainty, and values, and models have been developed

75 put data, CO and CO(2) emission factors, and uncertainty approaches including those due to spatial er

76 limate system(7-9) may also mean that signal uncertainties are largely irreducible.

77 toxicological assessments, controversies and uncertainties are typically understated; they lack metho

78 ere we show that modulations of surprise and uncertainty are encoded in a particular, temporally dyna

79 ases), but only under RCP8.5, and with large uncertainty around this projected increase.

80 Such forecasts are hampered by ecological uncertainties associated with non-analog conditions resu

81 g this vision, identifying key questions and uncertainties associated with realizing this research po

82 ollutant patterns, yet it is unclear whether uncertainties associated with temporally sparse sampling

83 relation between the ensemble spread and the uncertainties associated with their predictions.

84 n space and time can mitigate high levels of uncertainty associated with measurements at precise loca

85 of behavior suggest that organisms represent uncertainty associated with sensory variables.

86 ogic studies, to quantitatively characterize uncertainty at different concentrations along the PM(2.5

87 mation needed to quantitatively characterize uncertainty at specific PM(2.5) concentrations, which is

88 f a squeezed quantum state manifests a small uncertainty below the Heisenberg limit.

89 inference" guides the estimation of expected uncertainty both in ourselves and in our social conspeci

90 o invasion) and expert-identified ecological uncertainties (buffelgrass patch infill rates and precip

91 sea surface temperature patterns reduce the uncertainties by 45% and indicate a robust intensificati

92 of the external world and estimates sensory uncertainty by combining past experiences with new incom

93 county-level health damages and accounts for uncertainty by using a range of air quality models (AP3,

94 We manipulate sensory uncertainty by varying retinal eccentricity.

95 The accuracy experiments of the methods and uncertainty calculations were also performed using a cer

96 wn modes of action (MoAs), and the resulting uncertainties can lead to the failure of clinical trials

97 Bayesian cue integration suggests that this uncertainty can be resolved by incorporating additional

98 thiness of the source, and mostly for verbal uncertainty communication.

99 placed less reliance on internal signals of uncertainty (confidence) to guide information search, re

100 Stability expands on statistical uncertainty considerations to assess how human judgment

101 omain, participants showed reduced levels of uncertainty-directed exploration and increased levels of

102 larly tractable system for understanding how uncertainty, driven by environmental variability and sym

103 vioural transition from positive to negative uncertainty-driven selections was accompanied by changes

104 Uncertainties due to variability of climate and weather

105 Limitations include substantial uncertainty due to the long-term predictions and the cur

106 dulates how this circuit tracks accumulating uncertainty during decision-making.

107 subjectively uncertain predictors (positive uncertainty effect).

108 uncertain predictors were avoided (negative uncertainty effect).

109 ile the water vapor feedback spread explains uncertainties elsewhere.

110 ling missing data and calculating prediction uncertainty enabled precise prediction of post-treatment

111 hosen (best) option alone, or by the overall uncertainty (entropy) of the posterior distribution.

112 create a new dataset, which carries sampling uncertainty estimated by the cross-validation procedure.

113 TIM provides explainable predictions through uncertainty estimates and personalized risk factors.

114 models of perceptual inference where sensory uncertainty estimates depend only on the current stimulu

115 stributions are then used to derive adjusted uncertainty estimates in the reported effect estimate at

116 It quantifies risk with explicit uncertainty estimates, enables one to compare risks over

117 Previous studies rarely quantify this uncertainty, even though it may fundamentally alter thei

118 and the composition of atmospheric aerosol, uncertainty exists as to whether the current focus on PM

119 y (K(0)) values, along with their associated uncertainties, for proteins and protein complexes over a

120 n jointly decode stimulus features and their uncertainty from sensory population activity.

121 95% CIs were estimated by propagating uncertainty from the RR meta-estimates, prevalence of ho

122 neuronal mechanisms that could underlie such uncertainty-guided control have been largely unknown.

123 alized distance-dependent generalization and uncertainty-guided exploration as a Gaussian Process reg

124 , we investigate whether predispositions for uncertainty-guided information seeking relate to individ

125 However, the uncertainty has not prevented the proliferation of dark

126 the economic, engineering, and Earth science uncertainties, illustrating the need for expanding on pr

127 This ground-truthing pinpoints uncertainties in BC emission sources, which benefit both

128 The mass resolving power depends on the uncertainties in both quantities.

129 that supports the projection of a model with uncertainties in broader contexts such as biogeochemical

130 However, there are still considerable uncertainties in C stock estimates as well as a lack of

131 Quantifying signals and uncertainties in climate models is essential for the det

132 Cut-open vessels, uncertainties in maximum air volume estimations, sample-

133 that the ice-albedo feedback spread explains uncertainties in polar regions while the water vapor fee

134 ntarctic Ice Sheet (AIS) melt propagate into uncertainties in projected mean sea-level (MSL) changes

135 Uncertainties in Representative Concentration Pathway (R

136 AFFF mixtures are unknown, presenting great uncertainties in risk assessment and affected communitie

137 obviate the need for new mining, as well as uncertainties in soil weathering rates and land-ocean tr

138 Uncertainties in the contrail age, coverage, optical pro

139 ess (~350 nm) but tended to result in larger uncertainties in the fitted parameters.

140 easurements show that the quantum mechanical uncertainties in the phases of the 200-kilowatt laser be

141 Uncertainties in the phylogeny of birds (Avialae) and th

142 However, longstanding uncertainties in their ability to simulate regional and

143 mputational model of Bayesian learning under uncertainty in a reversal learning task, we investigate

144 Finally, we quantify uncertainty in both emissions factors and activity facto

145 e Earth system, but remain a major source of uncertainty in carbon cycle models and climate change pr

146 lization effect (CFE), remains a key area of uncertainty in carbon cycle science.

147 Gulf, but it is similar in importance to the uncertainty in chemistry and emissions at most other loc

148 genomic subsets to account for phylogenetic uncertainty in comparative analyses.

149 l emergent constraint allows us to halve the uncertainty in DeltaC(s,tau) at 2 degrees C to -232 +/-

150 Model scenarios include uncertainty in future fuel prices, a hypothetical CO(2)

151 r cell lineage tree inference assume uniform uncertainty in genotypes.

152 eposition is a significant source of aerosol uncertainty in global chemical transport and climate mod

153 We mimic parameter uncertainty in in vitro experiments by incorporating mod

154 eal single cell data usually has non-uniform uncertainty in individual genotypes.

155 attenuated neural representations of overall uncertainty in insula and dorsal anterior cingulate cort

156 ne the effect of alternative assumptions and uncertainty in model parameters on the results.

157 tive root mean square error of 26%, although uncertainty in model prediction was substantial (CV = 28

158 This usually leads to increased uncertainty in modeling results.

159 Uncertainty in O(3) boundary concentrations is the least

160 death numbers, we were not able to quantify uncertainty in our attribution estimates.

161 cy of weaker storms explains over 95% of the uncertainty in outage projections; thus, reducing this u

162 there is no single silver bullet to resolve uncertainty in plant biodiversity quantification.

163 Uncertainty in precipitation observations(9,10) and limi

164 The two parameters that contributed most to uncertainty in predicted NPP were plant-soil water condu

165 ate diversity indices, which are measures of uncertainty in predicted secondary structure at each pos

166 robial respiration is an important source of uncertainty in projecting future climate and carbon (C)

167 We find that uncertainty in projections of the frequency of weaker st

168 Bayesian framework, allowing us to quantify uncertainty in the allocation of proteins to new sub-cel

169 Uncertainty in the dry deposition velocities is less imp

170 e segments without any quantification of the uncertainty in the endpoints and lengths of the IBD segm

171 caries is partially heritable, but there is uncertainty in the magnitude of genetic effects and litt

172 Uncertainty in the outcome after aneurysm treatment and

173 Uncertainty in the structure and parameters of networks

174 results reflect gaps in historical data and uncertainty in the trends of key parameters, demonstrati

175 , health professionals continue to encounter uncertainty in their applications to medical practice.

176 Yet, the inherent inferential uncertainty in transcript-level abundance estimation, ev

177 ral discounting can also arise from internal uncertainty in value representations of future events, i

178 by changes in the representations of belief uncertainty in ventromedial prefrontal cortex (vmPFC).

179 ared scenarios covering a range of parameter uncertainties including model initialization (landscape

180 m healthcare and societal perspectives, with uncertainty incorporated in both 1-way and probabilistic

181 To account for the uncertainty inherent in the imputation, we propose a mul

182 We report the median and 95% uncertainty interval (UI) from 1151 modelled runs.

183 e overall improvements from 1990 {33.6% [95% uncertainty interval (UI): 31.5, 35.6] without access} t

184 bial consumption in 2017 at 10,259 tons (95% uncertainty interval [UI] 3163-44,727 tons), increasing

185 cal cancer 5-year net survival as 42.1% (95% uncertainty interval [UI] 33.8-48.5).

186 ~45,000 deaths, at a cost of $2.84/DALY (95% uncertainty interval [UI]: 1.71-5.57) averted.

187 tal CVD nearly doubled from 271 million (95% uncertainty interval [UI]: 257 to 285 million) in 1990 t

188 35, this represents 0.8 billion dollars (95% uncertainty interval, 0.6-1.0 billion dollars) in averte

189 althcare costs and $2.5 billion dollars (95% uncertainty interval, 1.7-3.6 billion dollars) in produc

190 ve global TB control would avert 40,000 (95% uncertainty interval, 29,000-55,000) TB cases in the Uni

191 1 million tonnes are discarded annually (95% uncertainty interval: 7-16 M t)-or 10.8% of the global c

192 uccessfully treating an additional 80.1 (95% uncertainty interval: [47.7, 111.9]) gonorrhea cases per

193 used Monte Carlo simulations to generate 95% uncertainty intervals (UIs) around our primary outcome m

194 We generated uncertainty intervals (UIs) for our estimates by running

195 Carlo algorithm to estimate numbers and 95% uncertainty intervals (UIs) of influenza-associated outc

196 rom demographic data and the literature; 95% uncertainty intervals (UIs) were constructed.

197 rends to estimate these indicators, with 95% uncertainty intervals (UIs), for 185 countries.

198 ee was used to estimate the probability (95% uncertainty intervals [UIs]) of sepsis following an infe

199 ally, trial-by-trial manipulation of sensory uncertainty is a key test to whether humans perform near

200 all at a given site, even though observation uncertainty is comparable to inter-model variability.

201 The ability to represent and respond to uncertainty is fundamental to human cognition and decisi

202 method for quantifying IBD segment endpoint uncertainty is implemented in the open source ibd-ends s

203 Uncertainty is intrinsic to perception.

204 nfirmed by a post hoc analysis, suggest that uncertainty is introduced into SVOC quantitation when in

205 uncertainty, and failing to account for this uncertainty is liable to lead to erroneous and/or over-c

206 This uncertainty is partly due to parameterization, which is

207 ion and analysis of metabolic networks, this uncertainty is present both during the reconstruction of

208 and drives directed exploration, while total uncertainty is represented in right dorsolateral prefron

209 Using fMRI (n = 31), we find that relative uncertainty is represented in right rostrolateral prefro

210 We argue that the only way to resolve this uncertainty is to link future efforts to develop or eval

211 One way to deal with uncertainty is to spread the emergence of offspring acro

212 We find elevated concentrations above uncertainty levels (+/-40%) within portions of every cen

213 Although associated with uncertainty, long-term investments in truffle cultivatio

214 2) spatial scale is necessary for minimizing uncertainties (<10%) in regional to Pan-Arctic modeling

215 Adaptive responses to ecological uncertainty may affect the dynamics of interspecific int

216 itions, several validation variables such as uncertainty measurement, selectivity, robustness, precis

217 This type of change in the uncertainty might have served as an early warning of the

218 ociated with top-down signals mediated by an uncertainty-monitoring neural population.

219 ->CE/NBM network may underlie intolerance to uncertainty, observed in autism and related psychiatric

220 ruction of local NAO impact, with associated uncertainties, obtained by a Bayesian approach.

221 of a stimulus color and a measure of memory uncertainty, obtained through a rewarded decision.

222 m) and for larger geographic units including uncertainties of spatial aggregation.

223 which can accommodate complex geometries and uncertainties of the drifting search areas on the ocean

224 um limit arises from the balance between the uncertainties of the photon radiation pressure applied t

225 mula: see text] Our final result has a total uncertainty of 1.50% and confirms the prediction based o

226 est quantitative estimates and corresponding uncertainty of a potential effect in the absence of stro

227 rug response (CDR) is challenging due to the uncertainty of drug efficacy and heterogeneity of cancer

228 preserving dignity, and (3) coping with the uncertainty of life.

229 The low uncertainty of our method will enable searches for furth

230 nally constrained approach should reduce the uncertainty of particle dry deposition in global chemica

231 t dose-response curve, whilst neglecting the uncertainty of the curve fit and the potential variabili

232 The relative expanded uncertainty of the measurement method was less than 14%

233 rement, and is thus capable of assessing the uncertainty of the retrieved pulses.

234 ow the ability of the formula to predict the uncertainty of the TBR estimate in a single patient, usi

235 context aware deep learning, that considers uncertainty of tumor location in the radiology mMRI imag

236 study to explore the effects of phylogenetic uncertainty on fossil identification.

237 However, there is still considerable uncertainty on the relationship between tolerances and t

238 on of restoration is constrained by cost and uncertainties over effectiveness.

239 riptome remain unclear, primarily because of uncertainty over the mechanism that detects them.

240 ent nature of previous results combined with uncertainty over the most appropriate methodology with w

241 Uncertainty plays a critical role in reinforcement learn

242 obabilistic measures, and found that feature uncertainty predicted people's explicit interpretations

243 ter precision is inhibited by the Heisenberg uncertainty principle, which imposes a limit to the prec

244 ase flow, trajectories, (sub)velocities, and uncertainty quantification for stochastic effects in spa

245 human metapneumovirus-associated ALRI cases (uncertainty range [UR] 10.2 million to 20.1 million), 64

246 timated that, in 2015, 6.8 million episodes (uncertainty range [UR], 5.8-8.0 episodes) of clinical pn

247 t measurements, we find considerably reduced uncertainty ranges for the projected global mean surface

248 ts, or by incorporating different sources of uncertainty-reduces the structural accuracy of the rewei

249 ighting the need to investigate the critical uncertainties regarding pathophysiology, risk factors an

250 We account for uncertainties regarding the damage curve, climate sensit

251 the molecular characteristics, there remains uncertainty regarding epidemiologic trends and environme

252 their relative importance is complicated by uncertainty regarding kill mechanisms and the relative t

253 This results in uncertainty regarding the best antithrombotic strategies

254 Given uncertainty regarding the exact amount of SSBs consumed

255 red systems, yet there is still considerable uncertainty regarding the formation and potential stabil

256 ous acid (HOCl), there is still considerable uncertainty regarding the formation mechanisms and ident

257 of those with PVCs is variable, with ongoing uncertainty regarding the most informative predictors of

258 Given existing uncertainty regarding trade-offs between the quantity an

259 y and the lack of data are a major source of uncertainty related to the oil spill impacts.

260 is used to derive a proper time-energy/mass uncertainty relation.

261 However, uncertainties remain if gas-exchange regulation strategi

262 However, despite growing research interest, uncertainties remain on some fundamental issues, such as

263 f the global net land carbon flux, but large uncertainties remain on the contribution of fires and ot

264 Important uncertainties remain regarding the association between a

265 Uncertainties remain whether there is a single underlyin

266 as been reported on a global scale; however, uncertainty remains at subnational scales due to geograp

267 However, the neural code of uncertainty remains elusive.

268 Nevertheless, uncertainty remains on the nature of the subsistence sys

269 f threat, and specifically impaired in rapid uncertainty-safety discrimination.

270 mination were specifically impaired in rapid uncertainty-safety discrimination.

271 ciples of statistical inference dictate that uncertainty shapes learning.

272 elds the population-average diameter with an uncertainty smaller than 0.5 nm, which is sufficient to

273 networks to be able to sample correctly the uncertainty space in phenotype prediction problems, sinc

274 ce the probabilistic parameterization of the uncertainty space is not unique and the use of the optim

275 hazards in the presence of the site-specific uncertainty such as hidden/undetected faults and stress

276 rence for rule creation under high levels of uncertainty, such as when the resource is in subtle decl

277 n-human studies on learning under perceptual uncertainty suggests a unified role for confidence in le

278 ow the method might have such an effect, and uncertainties surrounding its influence on neural activi

279 d by a lack of standardized definitions, the uncertainties surrounding the pathogenesis and the highl

280 de, and mislabeling data, which increase the uncertainty surrounding seafood mislabeling consequences

281 unconstrained, suggesting that there is more uncertainty than commonly believed about how terrestrial

282 dvanced LIGO detectors yield a joint quantum uncertainty that is a factor of 1.4 (3 decibels) below t

283 y of individual neurons is tuned to stimulus uncertainty, that this tuning is specific to the feature

284 Within the uncertainties, these estimates do not differ for eastern

285 cripts will have greatly reduced inferential uncertainty, thus allowing more robust and confident dow

286 ghts of hydroclimate response and associated uncertainties to support informed decisions by water res

287 ctors and activity factors and propagate the uncertainty to our total emissions estimate.

288 in northwestern Canada is identical, within uncertainty, to similar macrofossils from the Conception

289 We estimate uncertainties using multiple interpolation methods, find

290 We analyzed feature uncertainty using two probabilistic measures, and found

291 he sense that they take into account sensory uncertainty via a heuristic rule.

292 s influenced more by prior expectations when uncertainty was high.

293 range of future climate scenarios and model uncertainties, we estimate that for fires burning in the

294 show that whereas people do perceive greater uncertainty when it is communicated, we observed only a

295 However, models generate great uncertainty when they are used to predict or forecast ec

296 t effects appeared to be scaled by estimated uncertainty, which is largest at intermediate probabilit

297 y in outage projections; thus, reducing this uncertainty will greatly improve outage risk management.

298 ons using a hypothetical scenario maximizing uncertainty with an unclear clinical and molecular diagn

299 ople incorporate their trial-to-trial memory uncertainty with potential rewards and prior beliefs.

300 his paper, we find that the least fractional uncertainty with which a sensor can determine a material