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1 new stimulus-response mappings by trial-and-error.
2 ethod that fully corrects for this source of error.
3 is a time-consuming task and prone to human error.
4 r's spring constant were the main sources of error.
5 length, and spherical equivalent refractive error.
6 de is underway, the saccade appears to be in error.
7 dictions is comparable with the experimental error.
8 degeneration (AMD), glaucoma and refractive error.
9 tion protocols proceeds largely by trial and error.
10 mine the significance of the observed square error.
11 randomly assigned to intervention groups in error.
12 s and signal their deviation as a prediction error.
13 inuation of reinforcement through prediction errors.
14 justed or heteroscedasticity-robust standard errors.
15 rbed weighting of predictions and prediction errors.
16 to investigate patterns of commonly observed errors.
17 ncordance with replicative and translational errors.
18 rror and accounting for correlations between errors.
19 while retaining similar, and reliable type I errors.
20 g long reads contaminated by a high level of errors.
21 equent motor commands needed to reduce motor errors.
22 freque218 in a population are known without errors.
23 actually happens allows us to learn from our errors.
24 hich leads to ongoing chromosome segregation errors.
25 ich generates consensus but can also amplify errors.
26 correlate with the fitness cost of splicing errors.
27 repeat proteins likely reflecting alignment errors.
28 nts, but is limited by systematic and random errors.
29 substitutions and are more prone to splicing errors.
30 rse and unpredictable magnitude of the total errors.
31 x task of separating real polymorphisms from errors.
32 evoked by changes in kinematics or position errors.
33 used to compensate for upcoming reach extent errors.
34 AS11] over time [p = 0.03, beta +/- standard error = 0.7 +/- 0.3]; worse forgetting score on the Rey
36 as excellent, with a slope of 0.97 (standard error, 0.04; P value [for difference from 1] =0.53) and
37 0.142), nonatypical MDD (B = 0.007 (standard error, 0.06); P = 0.911), and no history of depressive d
38 ] =0.53) and an intercept of 0.007 (standard error, 0.12; P value [for difference from 0] =0.95).
40 were dysthymic disorder (B = -0.31 (standard error, 0.21); P = 0.142), nonatypical MDD (B = 0.007 (st
42 nce [K(+)] from blood samples was promising (error: -0.09 +/- 0.59 mM, absolute error: 0.46 +/- 0.39
43 s of vision loss were uncorrected refractive error (61.3%), cataract (13.2%), and age-related macular
44 were identified from 2493 opportunities for error (7.1% overall medication administration error rate
45 observed doses administered (or omitted) in error according to medication administration records, co
47 hanks to naturally finding the most probable error and accounting for correlations between errors.
50 in low-resource settings could decrease user error and expand access to lifesaving outpatient antibio
51 ecent advances in the understanding of human error and individual and organizational performance.
52 y assessment instruments have both value and error and that this error should be considered in the an
54 ch repair gene MLH1 is driven by replication errors and accurately models the mutation profiles obser
55 the SS sensitivity to kinematics or position errors and are not due to differences in SS firing rates
56 ularly in view of biopsy-associated sampling errors and heterogeneous receptor expression in breast c
58 mizes false positives resulting from mapping errors and other technology specific artifacts including
59 osome amplification exhibit frequent mitotic errors and possess complex karyotypes, recapitulating a
60 can be tailored to correct common refractive errors and provide natural focus cues by dynamically upd
61 ve approach that corrects PCR and sequencing errors and removes PCR-mediated recombinant sequences (c
62 ewarding events is also driven by prediction errors and that, contrary to existing canon, dopamine tr
63 rent error rate that is not sensitive to all errors, and cannot be compared directly to diamond norm
64 is based on a joint estimation of alignment errors, and the object, using an iterative refinement pr
69 combination with other well-known sources of error associated with PET/MRI examinations, lead to inco
70 nding affinity for 75% of cases and that the error associated with the predictions is comparable with
74 etween the control (EFS, 35% +/- 3 [standard error] at 4 years) and clofarabine treatments (38% +/- 3
77 Moreover, numerical validations confirm an error below 0.02% for events at relatively large distanc
78 y-picked and unjustified stories emphasizing error, bias, the power of self-fulfilling prophecies, an
79 ced data contain subtle but complex types of errors, biases and uncertainties that impose several sta
80 elated fields and reaches three (1) Although errors, biases, and self-fulfilling prophecies in person
81 s characterized by a tripartite pattern: (1) Errors, biases, and self-fulfilling prophecies in person
82 xploited by cells to correct DNA replication errors both in growing cells and under nongrowing condit
83 ing these structural errors, diagnosed using error breeding, we develop a new forecast approach that
85 se translations and then minimizes stitching errors by optimizing the translations within a (4r)(2) s
87 uity often requires time-consuming trial-and-error calculations using restrained molecular dynamics (
89 generate ordered networks, as it allows the error-checking that permits the network to crystallise,
90 aining, subjects were exposed to a series of error-clamp trials to measure the temporal characteristi
92 It has been suggested that social prediction errors-coding discrepancies between the predicted and ac
93 1.62*10(12) average copy number +/- standard error) compared to other tested viruses, with DWV second
94 ) to select the penalty parameter for type-1-error control, residual bootstrap (Lasso-RB), modified r
95 (whole-brain voxelwise analysis: familywise error corrected P=0.013) and longitudinal changes in ADA
97 braries from as little as 20 pg DNA with PCR error correcting capabilities, and capture target sequen
99 such low error values are the result of the error-correcting mechanism known as kinetic proofreading
102 ew forecast approach that combines dynamical error correction and statistical filtering techniques.
104 account the substantial overhead of quantum error correction, and the need to compile into discrete
106 se relative to the characteristic split-belt error-correction mechanisms (i.e. muscle activity and ki
107 e tested (i) whether systematic localisation errors could reflect reliance on prior knowledge, as has
108 y processing; instead, the data suggest that error detection causes an attentional bottleneck, which
109 tor areas and is thought to be important for error detection, the dialogue between these two areas co
114 d framework can enable the quantification of error estimations and output variations in image segment
116 e negative and 27 positive for mecA No major errors for cefoxitin were observed, but 19.5% very major
117 d-Altman analysis showed similar measurement errors for single-BH SSIR and non-BH SSIR when compared
119 n synthesis, polyubiquitination activates an error-free pathway, elusive in mammals, enabling damage
123 79 oligos) without pre-purification, and the error-frequency was reduced from 14.25/kb to 0.53/kb.
124 -6)), whereas C-->G, U-->A, G-->C, and C-->A errors from purine-purine and pyrimidine-pyrimidine mism
126 ity of participants (65.1%) among refractive error group (REG) were above the age of 30 years, with a
131 ace spectrometer can reduce the nonlinearity error in k-space from 14.86% to 0.47% (by approximately
132 ia risk factors or nonamblyogenic refractive error in most studies of test accuracy and were greater
134 he LHb promotes a negative reward prediction error in Pavlovian conditioning.SIGNIFICANCE STATEMENT S
135 ogs have been posed as a potential source of error in somatostatin receptor imaging through interfere
136 riginal version of this Article contained an error in the abstract, referring to "multi-megawatt-per-
137 ubling dilution series, which means that any error in the reference method inherently represents at l
138 riginal version of this article contained an error in the spelling of the author Christian A.M. Wilso
139 y, we have corrected a previously identified error in the transmembrane region of the original cryo-e
140 fer from background noise, show a systematic error in which the particle sub-pixel positions are bias
141 nored in a simple Cox model, robust standard errors in a variance-correction model, random effect in
143 standard approach to eliminating confinement errors in bacterial cells is to analyze molecule displac
144 repair (MMR) pathway recognizes and repairs errors in base pairing and acts to maintain genome stabi
146 hydrophone method due to the absence of the errors in hydrophone spatial-averaging measurement and t
148 ation opposite dT, predicting frequent A-->G errors in RNA with rates of approximately 10(-4) The A--
149 late spline interpolation is used to correct errors in segmentation and check consistency of assigned
153 ved significantly in recent years, remaining errors in the Boltzmann weights are still on the order o
154 d cosine transform method can generate large errors in the calculation of saliency information becaus
158 erver attempts to identify and to fix likely errors in user supplied 3D models of proteins via succes
159 ng the function of the aggression; trial-and-error; ingrained local custom (especially around instruc
160 report TSRI estimates with modified standard errors instead of reporting unadjusted or heteroscedasti
164 s and experimental results show the observed error is the result of electrostatic assumptions within
165 increases coordination of care and decreases errors, its effect on primary nonadherence is less certa
167 LOQ (0.010mgmL(-1)), and more accurate with error less than 5% while results from the titrimetric me
168 model (average normalized root mean squared error </=11.3%) was then used to evaluate the product wa
171 sociations using polynomial terms in spatial error models adjusted for total population and populatio
174 ry-type diplopia), 1 (4%) optical/refractive error (monocular diplopia), 2 (8%) mixed retinal misregi
175 G-->A, A-->U, C-->U, G-->U, U-->C, and U-->G errors mostly due to pyrimidine-purine mismatches were r
180 ent agreement with experiment (mean unsigned error of 0.81 kcal/mol and Pearson correlation of 0.75).
181 ical and experimental datasets, we assign an error of 1.1-1.2 log unit for equilibrium constants of s
182 turned a more modest accuracy (mean unsigned error of 1.76 kcal/mol and Pearson correlation of 0.48);
183 tra-day repeatability with a mean percentage error of 18.7% and 32.8% for PLS and univariate calibrat
185 329 unique CpG sites, has a median absolute error of 3.33 weeks and has similar properties to the re
187 pt studies of tissue phantoms yielded a mean error of 9.2% on hemoglobin concentration measurement, c
188 s a good fit with the data (root mean square error of approximation = 0.06; comparative fit index = 0
190 dominant STAT4 deficiency as a novel inborn error of IL-12-dependent IFN-gamma immunity associated w
191 hus, human MDA5 deficiency is a novel inborn error of innate and/or intrinsic immunity that causes im
192 ylalanine hydroxylase deficiency), an inborn error of metabolism, can be detected through newborn scr
193 ld type strain, we decrease the mean squared error of predicted central metabolic fluxes by approxima
194 rmance was evaluated by the root mean square error of prediction (RMSEP) and the correlation coeffici
195 activation pattern may reflect a prediction error of the brain, where rewards at unexpected times (1
197 eline with both krill oil (mean +/- standard error of the mean: -18.6+/-4.5 mOsmol/l; n = 18; P < 0.0
200 overy and characterization of several inborn errors of immune-related genes that underlie inherited h
201 rate quantification of biomarkers for inborn errors of metabolism (IEM) from dried blood spots (DBS)
202 isorders are among the most prevalent inborn errors of metabolism but largely lack treatments and hav
203 erapy for hematological malignancies, inborn errors of metabolism, and immunodeficiency disorders, ye
205 onally illustrate that our approach achieves errors of roughly 5% in predicting the scattering proper
206 nterquartile range and the root-mean-squared error) of load estimates a modeling exercise showed that
207 ray-matter volume (F1,74 = 28.32; familywise error P threshold = 0.03), greater IC task-related blood
208 e representation of reinforcement prediction error (PE) (the difference between received and expected
209 lel encoding of effort and reward prediction errors (PEs) within distinct brain regions, with effort
210 ery has been driven by a laborious trial-and-error process, knowledge-driven materials design can now
212 is mediated by the suppression of prediction error processing through the prefrontal cortex (PFC).
216 ts as a backup attempt to intercept the more error-prone alternative NHEJ repair pathway by recruitin
221 10 genes) in Escherichia coli using a highly error-prone microchip-synthesized oligo pool (479 oligos
222 ce in the absence of centrosomes, this is an error-prone process that opens up the fly to development
223 either endonuclease activity and subsequent error-prone repair have left a mutational footprint on t
228 multiple sequencing platforms with different error properties; it minimizes false positives resulting
231 ycle stages, we reach a sixfold reduction in error rate compared to a recent approach based on boosti
234 e describe an algorithm that solves the high error rate problem by combining long, high-error reads w
235 ized benchmarking, which reports a different error rate that is not sensitive to all errors, and cann
238 are the most effective at decreasing average error rates (up to 5.8-fold relative to the input), wher
241 ability to sequence single-cell genomes with error rates as low as 10(-8) and average 500-kb-long DNA
242 plying the optimal alpha approach results in error rates as low or lower than error rates obtained wh
244 ted when comparing medication administration error rates between original medication packaging (from
246 results in error rates as low or lower than error rates obtained when using (i) no post-hoc adjustme
251 h error rate problem by combining long, high-error reads with shorter but much more accurate Illumina
252 ted greater brain response 1) for prediction error regression within the caudate, ventral caudate/nuc
253 neural error monitoring, as measured by the error-related negativity (ERN), is a transdiagnostic neu
254 ive frontocentral evoked response similar to error-related negativity, which has in turn been implica
255 were used to investigate the time course of error-related processing while humans performed a diffic
256 ility modulated the expression of prediction error responses in anterior insula and insula-vmPFC conn
258 etermination (R(2)) and the root mean square error (RMSE) from 3250 samples used for calibration and
259 error (MPE) and root mean squared prediction error (RMSPE) for daily predictions are 1.78 and 2.83 mu
260 ements by using regression, root-mean-square error, root-mean-square deviation, Lin concordance corre
262 nd depressive symptoms (r g = 0.82, standard error (s.e.) = 0.03), major depressive disorder (MDD; r
264 oefficient (r) = 0.789, standard estimate of error (SEE) = 24.470 cm(2), p < 0.001), Lin's correlatio
266 ents have both value and error and that this error should be considered in the analysis and interpret
271 network estimation and lower classification error than that achieved by other state-of-the-art metho
272 imitations of this study include measurement error that could lead to residual confounding; and the p
273 dissociate the subtypes of reward-prediction errors that function as the key computational signatures
274 tify and bioinformatically remove polymerase errors that otherwise make detection of these rare varia
275 hematopoietic stem cells, and few monogenic errors that specifically interrupt NK cell development h
276 ode novelty in addition to reward prediction error (the discrepancy between actual and predicted valu
278 million), because of uncorrected refractive error to 8.0 million (2.5 million to 16.3 million), and
280 s (OLS) regression using Newey-West standard errors to accommodate for serial autocorrelation, and ad
281 n records, compared to the opportunities for error (total number of observed doses plus omitted doses
283 ped method for modeling cell decision making errors under normal and abnormal conditions, and in the
284 ory preconditioning, we show that prediction errors underlying stimulus-stimulus learning can be bloc
287 ically significant positive predictor of the error variance for acute (R(2) = 0.20; P < 0.0001) and d
288 efoxitin were observed, but 19.5% very major errors (VMEs) were observed at 24 h of incubation, and 1
289 h the validation dataset, and mean predicted error was calculated for all regions using both WBN and
291 I) and area manipulation to match a reported error, we are unable to replicate post-FISP production g
292 arious devices, despite which large standard errors were found for both intercepts and slope conversi
293 and seventy eight medication administration errors were identified from 2493 opportunities for error
295 te valence-induced bias: negative prediction errors were preferentially taken into account, relative
296 g-Poisson regression with empirical standard errors were used to estimate the continuous and categori
298 this finding to a positive reward prediction error, whereby the animal perceives they received a bett
299 ic kinase PLK1 drives chromosome segregation errors, with a specific focus on Gravin, a PLK1 scaffold
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