ライフサイエンスコーパス: correctly

1 ubsequent experimental works are interpreted correctly.

2 ral clone sequences present in tumor samples correctly.

3 during trials in which the task is performed correctly.

4 The 2D CNN classified all reconstructed ACLs correctly.

5 tures and performing the prescribed exercise correctly.

6 mosomal instability if they are not repaired correctly.

7 elop faster diagnostics to treat swiftly and correctly.

8 ximal exact match and vg to align more reads correctly.

9 of the mothers (50%) did not use the inhaler correctly.

10 generate the desired sub-cellular structures correctly.

11 ecosystem models fail to predict both terms correctly.

12 idence Interval: 0.612-0.776) and classified correctly 62.4% of participants.

13 We show that correctly accounting for the partial coherence of the el

14 (2+) contributes to fidelity by sampling the correctly aligned substrate without perturbing the equil

15 r discriminant analysis (SPA-LDA) classified correctly all samples, while the partial least squares c

16 However, to identify environmental sequences correctly, an expertly curated reference library is need

17 LM, MBT differentiated most of the patients correctly and BST might be used as an exclusion test.

18 ve evolved to help nascent polypeptides fold correctly and multimeric protein complexes assemble prod

19 , it is crucial to assure that they function correctly and that they gain the trust of experts.

20 r-based initiatives: (1) seafood is labelled correctly, and (2) the recommended species are healthy f

21 pid classes and the capability to detect and correctly annotate novel sphingolipid species make LDA b

22 ds around the atoms of the reactive sites to correctly annotate proteins for 93% of analyzed enzymati

23 ed in 20 of these studies, whereas they were correctly annotated in 15 more recent studies.

24 that the mutant ribosomes select start sites correctly, arguing that start sites are hard-wired for i

25 RBD bridging assay identified most patients correctly as seropositive.

26 truts and 99% of covered struts were labeled correctly, as compared to manual analysis.

27 zed so that a bipolar mitotic spindle can be correctly assembled.

28 rtmentalization is critical for the yield of correctly-assembled particles.

29 ees, and need to be considered separately to correctly assess vegetation responses to environmental c

30 Receiver operating characteristics analysis correctly assigned prior norovirus infection in 23 (92%)

31 say detected recent norovirus infections and correctly assigned the infecting genotype.

32 els developed show a high level of accuracy, correctly assigning 87.20% of AR binders and 96.81% of G

33 rafter outperforms subfamily HMM scoring for correctly assigning subfamily membership, and that it pr

34 ong-term symptoms in a particular patient is correctly attributable to having had Lyme disease, an ob

35 While this colour change has been correctly attributed to chromium impurities and their ab

36 cation factor PTF1A necessary for generating correctly balanced neuronal circuits.

37 s reported that they could diagnose cataract correctly based on skills.

38 if the TGMs were reconciled and administered correctly before and after an educational intervention w

39 d that all methods agree on the frequency of correctly called variants.

40 Correctly calling high and low-frequency variants while

41 rous type of DNA damage and, if not repaired correctly, can lead to cancer.

42 However, neither model correctly captures the short-timescale behavior quantifi

43 speech recordings supplied by 13 respondents correctly categorised 11 (85%) on the basis of probable

44 e the performance of a standalone AI tool to correctly categorize a skin lesion's morphology from a t

45 ts with PPS maculopathy in this dataset were correctly categorized as having PPS maculopathy.

46 40 of 40) as being of diagnostic quality and correctly categorized findings in 19 of 20 (95%) cases.

47 acy of 86%, predicted time to recurrence and correctly categorized five additional patients on the ba

48 Importantly, pol-aAST correctly categorized resistant isolates that are undete

49 ing the mean, highlighting the importance of correctly characterizing low end emissions when using lo

50 Ts score and 2 rapid immunoassays (IAs) that correctly classified >95% of patients within a 60-minute

51 CT angiography correctly classified 15 of the 16 cases of AVM measuring

52 (95% CI, 73-93%), and 0.78 respectively, and correctly classified 20% of the validation cohort from t

53 The assay correctly classified 39 of 40 variants in the validation

54 d at least 15 days after symptom onset), and correctly classified 456 out of the 457 COVID-19-negativ

55 mit of 45% targeted, the risk-group strategy correctly classified 58% of seroconversions, the model-b

56 Before LT, GRAIL correctly classified 75% as having mGFR < 30 mL/min/1.73

57 vel > 80 pg/mL and CRP level > 97 mg/L) both correctly classified 80% of patients in the validation c

58 as statistically significant (P < 0.001) and correctly classified 81.9% of cases.

59 thm classified with 81% overall accuracy and correctly classified 86% of those without VAs.

60 abernet Sauvignon wines, while the DA models correctly classified 86%, 85% and 77%, respectively.

61 The biodynamic phenotypic profile correctly classified 90% [88-91% c.i.] of the patients w

62 During validation, the algorithm correctly classified 92% of accelerometer readings.

63 A discriminant analysis correctly classified 96.7% of the groups, being electric

64 test set (n = 157)" validation, SIMCA models correctly classified 97%, 97% and 92% of Australian, Chi

65 Moreover, 93.2% and 93.4% of carcasses were correctly classified according to feeding regimes by usi

66 The device correctly classified all nasopharyngeal, oropharyngeal a

67 ole genomes from 10 coronavirus species, and correctly classified all of the SARS-related coronavirus

68 al carotenoid content, discriminant analysis correctly classified all samples according to their geog

69 sing through each of the five outlets can be correctly classified based on their impedance peak heigh

70 ecurrence and nonrecurrence samples could be correctly classified by exRNA expression values.

71 the calibration and prediction samples were correctly classified by means of LDA.

72 In total, 95.4% of the sleep epochs were correctly classified by the machine learning approach, b

73 ic Neural Network (PNN) analysis, 85.3% were correctly classified by the network according to their g

74 lts as the reference standard, the AI system correctly classified chest radiographs as COVID-19 pneum

75 cessfully with all adulterated samples being correctly classified following the use of appropriate tr

76 ing, a partial least squares regression, has correctly classified samples with 92% success rate.

77 The cannabinoid reporter assay correctly classified the vast majority of the samples as

78 ng more significant changes in behaviors are correctly classified through Gradient Boosted Trees.

79 roach allowed Escherichia coli strains to be correctly classified to the O157:H7 and K12 sub-species

80 er's disease patients were less likely to be correctly classified under the ATN framework using indep

81 75.2% and 76.5% of patients with MDD were correctly classified using frontal and temporal region o

82 25 of 31 participants without arthritis were correctly classified with DWI; 95% CI: 62%, 92%).

83 3 of the 14 participants with arthritis were correctly classified with DWI; 95% confidence interval [

84 All 68 children used for training were correctly classified with models using IgE and IgG4 epit

85 specificity, 69.8% (54.1-75.6%); percentage correctly classified, 69.9% (53.7-75.5%); and area under

86 erent from pyrazolones), 95.3% of cases were correctly classified, with a sensitivity of 92% and spec

87 icity=69.8% (95% CI 54.1%-75.6%), percentage correctly classified=69.9% (95% CI 53.7%-75.5%) and area

88 In simulated data, CREST correctly classifies 91.5%-100% of grandparent-grandchil

89 that an intensity variation threshold of 10 correctly classifies compounds of known origin and revea

90 33/34 portable devices were able to correctly classify 5 out of 6 samples successfully with

91 ss surface and subcutaneous fat were able to correctly classify 75.9% and 73.8% of the carcasses, res

92 provide the background needed for doctors to correctly classify CDHR.

93 e 3 (SCA3) and 5 unaffected individuals, and correctly classify each individual.

94 set of high-confidence micropeptides, and to correctly classify newly discovered micropeptides not in

95 s prove the ability of the ML-based model to correctly classify propofol concentration in the therape

96 Our model-based predictions correctly classify SNP effects in pyruvate kinase and su

97 We implemented MorphEUS to correctly classify three compounds in a blinded study an

98 Partial least squares analysis permitted to correctly classify wheats based on their cultivation are

99 of 86% (95% CI, 75-93%) and an AUC of 0.78, correctly classifying 83% of the validation cohort.

100 l validation, on a test set of 140 objects), correctly classifying all samples according to their gro

101 rmatory assays, thus creating challenges for correctly classifying HIV infection status.

102 tion was by far the most important factor in correctly classifying the cells.

103 ct memory performance for novel words (i.e., correctly classifying the word as novel), and preonset a

104 memory performance for repeated words (i.e., correctly classifying the word as repeated).

105 se were captured in UHDDS); 406 (86.0%) were correctly coded based on chart review.

106 ewer fifth degree Mexican American relatives correctly compared with IBIS.

107 the Bethe solution much more appropriate to correctly describe strongly disordered systems, especial

108 and the TIP4P/2005s water model are able to correctly describe the conformational ensemble of this 6

109 The overall probability to correctly detect subgingival calculus with the laser (ac

110 of self-focused attention on the ability to correctly detect tactile stimuli.

111 and all those located in eloquent areas were correctly detected (100% sensitivity).

112 d proprietary AstraZeneca small molecule and correctly determined the cardiotoxic response to its met

113 After correcting these, CREST correctly determines relationship types for 93.5% of GP,

114 nically relevant retrospective scenarios and correctly diagnosed most of the consensus outcomes of 61

115 r precision approach to health care involves correctly diagnosing and properly classifying people to

116 A MARsplines analysis of dendritic measures correctly differentiated 87.4% of complete typical pyram

117 PCA-LDA coupled with HSI histograms correctly differentiated all of the SFV samples from the

118 ula: see text] The participants were able to correctly discriminate between two states carrying OAM [

119 Human and animal blood were correctly discriminated from other biofluids and non-bio

120 built a Random Forests model, which not only correctly discriminates between people with Alzheimer's

121 ads to bulky valves that are unable to coapt correctly during ventricular systole resulting in mitral

122 ncurable ciliopathy caused by the failure to correctly establish or maintain cilia-dependent signalin

123 nditure differences resulted from failure to correctly estimate the respiratory quotient (RQ) used in

124 yde loss rates must be taken into account to correctly estimate whole-house emission rates and that v

125 valuate skin tissue gene expression patterns correctly, extracting sufficient quantities of good qual

126 ific ribosomal proteins act as chaperones to correctly fold the pre-rRNA substrates and, for Mini-III

127 icated machineries that host cells employ to correctly fold, assemble, and transport proteins along t

128 stasis network, safeguards that proteins are correctly folded and functional.

129 th features of a random coil, the protein is correctly folded as indicated by MS and NMR analyses.

130 diated DNA bridging requiring the intact and correctly folded Ctp1 tetramer.

131 Overexpression of correctly folded membrane proteins is a fundamental prer

132 al to verify whether the T(c) was determined correctly for samples prepared from compressed H(2) S, s

133 served by the immunofluorescence analysis of correctly gene-edited single-cell clones.

134 aining examples and then, crucially, respond correctly (generalize) to previously unseen test forces.

135 The automated classification correctly graded 76% of the low-grade cancers and 71% of

136 ges with sufficiently asymmetric features to correctly guide alignment is challenging.

137 ely reported, and continuous predictors were correctly handled in only two models (e.g., using restri

138 The trained algorithm correctly highlighted 86% of driver regions with higher

139 ctive value compared with existing tools and correctly identified >75% of HLA-bound peptides that wer

140 with highly divergent connections, BAcTrace correctly identified 12 of 16 connections that were prev

141 On a patient level, we correctly identified 20 out of 22 ECM3 group patients an

142 FGI correctly identified 5 of 6 tumor-negative CRM (83%).

143 Urine-based hrHPV testing correctly identified 80% of CIN2+ cases (95% confidence

144 The direct RT-qPCR approach correctly identified 92% of a reference set of blinded N

145 Results: Back-table FGI correctly identified a tumor-positive CRM by high fluore

146 After cystectomy, ctDNA analysis correctly identified all patients with metastatic relaps

147 SARS-CoV-2, showing that our method not only correctly identified all positive samples but also subst

148 the 141 clinical samples, the BCID-FP panel correctly identified an additional Candida species, unde

149 t identifications with the 13th sample being correctly identified as animal blood but with no species

150 and an average of 20 regions per subject was correctly identified as nonsuspicious or suspicious, yie

151 specific, with autopsy-derived organ samples correctly identified as tissues originating from postmor

152 EHS was found to improve the number of words correctly identified by an average of 8.3%-points, with

153 the strains of the South American clade were correctly identified compared to 7% (n = 10) and 0% (n =

154 ical site, 52 alerts were recorded; 3 (6.8%) correctly identified conversion to nAMD and 47 (93.2%) r

155 ted both spa and SCCmec variants of MRSA and correctly identified empty-cassette strains of S. aureus

156 of 7 HoTPs in their monomeric states can be correctly identified in the top-10 for 71% of all cases,

157 The approach correctly identified mold of unknown species from sample

158 Clinicians correctly identified multiple organ dysfunction syndrome

159 PICU clinicians correctly identified multiple organ dysfunction syndrome

160 t identification due to a preanalytic error, correctly identified on retesting.

161 iagnostic performance, the CO-RADS AI system correctly identified patients with COVID-19 using chest

162 tree algorithm identified 3 metabolites that correctly identified TB status at distinct times during

163 amples from 14 different cancer types, GSECA correctly identified the alteration of the PI3K/AKT sign

164 This approach correctly identified the distinct viral entry factors AC

165 Readers 1, 2, and 3 correctly identified the lesions (n = 21) at a rate of 1

166 ent diameter difference was 2.6% and PVL was correctly identified with a post-processing algorithm in

167 Ninety percent of the fish tested were correctly identified with their respective strains.

168 GPseudoRank also correctly identifies cells precocious in their antiviral

169 MG1655 (iJO1366), we found that RIPTiDe correctly identifies context-specific metabolic pathway

170 The INTERMACS RHF classification correctly identifies patients at risk for mortality, tho

171 We demonstrate that our classifier correctly identifies the risk categories of 22 common dr

172 itative traits such as height, the predictor correctly identifies the taller sibling roughly 80 perce

173 Efforts need to be made to correctly identify and target patients who will deliver

174 iance on an experiment-specific heuristic to correctly identify and track the motion of a flagellum.

175 ructure, which MR wave function calculations correctly identify as the most stable isomer.

176 that the studied RMD platforms were able to correctly identify BL-BLI susceptibility (susceptibility

177 omes were the sensitivity and specificity to correctly identify individuals requiring treatment with

178 Nearly a third could not correctly identify symptoms (28.3%) or ways to prevent i

179 ity, findings categorization, and ability to correctly identify the acquisition protocol was calculat

180 maging and X-rays) can help the clinician to correctly identify the nature of manifestations and to t

181 Each PDTC was able to correctly identify the sensitive, resistant, and interme

182 ponse was only analyzed if they were able to correctly identify the sites of the surgical procedures.

183 to permit pattern-recognition algorithms to correctly identify the vast majority of proteins in the

184 a RT-PCR who presented with normal CT scans, correctly identifying 17 of 25 (68%) patients, whereas r

185 results and sensitivities/specificities for correctly identifying an isolate as susceptible/resistan

186 als, underscoring the challenges inherent in correctly identifying cancer-essential genes.

187 Sensitivity and specificity for correctly identifying COVID-19 with a characteristic che

188 in sections under a light microscope-that of correctly identifying the distinct brain regions contain

189 The average accuracy rate of correctly identifying the functional groups of interest

190 However, correctly identifying the true cell types remains a chal

191 seem to be suited to characterise angularity correctly in all of the above tests: the newly introduce

192 der methods that may not have been optimized correctly in the past.

193 find that T7 replisome excised nearly 7% of correctly incorporated nucleotides during leading and la

194 We show that excessive excision of correctly incorporated nucleotides is not due to events

195 The power of our method to correctly infer expression states is generally high and

196 critical for Mendelian randomization (MR) to correctly infer risk factors causing a disease.

197 datasets-where we demonstrate its ability to correctly infer true (known) expression states-and empir

198 and relative accuracies of these methods in correctly inferring clone phylogenies are yet to consist

199 We benchmark our approach by correctly inferring the linker masses of two well-known

200 To correctly interpret a message, people must attend to the

201 organization may aid downstream circuits in correctly interpreting the wide range of signals transmi

202 MorphEUS classified 94% of tested drugs correctly into broad categories according to modes of ac

203 ting Cupid-GFP has permeated them and folded correctly into its fluorescent form.

204 ificantly higher mercury concentrations than correctly labelled samples.

205 pindle formation are determined primarily by correctly localising the MT nucleator, gamma-Tubulin Rin

206 work develops an image registration model to correctly localize the real-space location of every pixe

207 During systole, stimuli were detected and correctly localized less frequently, relating to a shift

208 the canine CSNB retina, the mutant LRIT3 is correctly localized to the region correlating with the O

209 tasets, DuploMap increased the percentage of correctly mapped reads with high confidence for multiple

210 n unmatched signal and showed that PAIRUP-MS correctly matched 70-88% of these metabolites from among

211 d heterogeneous noise during the runs, which correctly matches the short-timescale behaviors and indi

212 In addition, it is beneficial to include correctly measured auxiliary variables that are correlat

213 r a biomedical analyst or an investigator to correctly model the CD4 cell count or disease biomarkers

214 Borsboom et al. correctly note that the use of latent variable models in

215 to evaluate whether lumbar vertebrae can be correctly numbered using auxiliary parameters.

216 tic cyclin Cdc13 as a potential mechanism to correctly order CDK substrate phosphorylation.

217 thymine and requires adjacent guanines and a correctly orientated A/T-rich flanking sequence.

218 Cell-sorting approaches, to select for correctly patterned cells before implantation, are being

219 rdinary developmental plasticity, allowing a correctly patterned embryo to arise despite experimental

220 es in other organisms not always are able to correctly perform this task in plants organellar genomes

221 veloping tissues, morphogenetic cues must be correctly positioned and interpreted.

222 Muscle precursors need to be correctly positioned during embryonic development for pr

223 using meals logged by the Israeli cohort to correctly predict glycemic responses in the Midwestern c

224 dysfunction, a positive kidney biopsy should correctly predict pancreas rejection in 86% of the insta

225 rthermore, using this model, we were able to correctly predict the outcome in another patient after 1

226 subvalidations using this training data set correctly predicted 58% of inhibitors when analyzing act

227 The 2013 Fuzzy Forests model also correctly predicted 86% of good health outcomes using 20

228 a ring current is observed, its direction is correctly predicted by Huckel's rule.

229 Al(3)O(4)(+) upon Fe-substitution, which is correctly predicted by multireference (MR) wave function

230 ME-model, 80% of the upregulated genes were correctly predicted by the ME-model, and ii) that these

231 We considered correctly predicted contacts and compared their properti

232 These criteria correctly predicted death or serious respiratory morbidi

233 The ORSO recommendation system correctly predicted early data point sources as embryoni

234 success rate where all four categories were correctly predicted for ~80% of the compounds.

235 Whether a low-energy cage is isolated can be correctly predicted from the thermodynamic preference ob

236 Clot time is correctly predicted in individual cases, and some models

237 Computational experiments correctly predicted that selected kinase inhibitors used

238 kes-all cholinergic responses, and the model correctly predicted that the network would function as a

239 Thus, constructed population of models correctly predicted the drug effects and occurrence of a

240 cutoff of >=1.50 diopters (D) in either eye correctly predicted the need for glasses 93% of the time

241 The model not only correctly predicted the relative signaling potencies of

242 itive predictive value (PPV) of the peptides correctly predicted to bind very strongly (i.e., K (d) <

243 is revealed that the sex of a donor could be correctly predicted with cross-validated accuracies of 8

244 eles with bystander nucleotides that BE-Hive correctly predicted would not be edited.

245 kbones, FASPR achieved a good performance by correctly predicting 69.1% of all the side-chain dihedra

246 dly simulated a virus with similar features, correctly predicting many human behaviors later observed

247 We show that our model is capable of correctly predicting the phenotype of the majority of mu

248 Our method is capable of correctly predicting the respective metabolic pathway cl

249 energies associated with each catalytic step correctly predicts a slight bias towards CO(2) reduction

250 Our model also correctly predicts higher infection rates among disadvan

251 The LR model correctly predicts methane occurrence in 89.8% (n = 234

252 cho Brahe in 1601, and the serving algorithm correctly predicts other planetary orbits, including par

253 This model correctly predicts the effects of inhibiting cell growth

254 The algorithm correctly predicts the major product for about 90% of th

255 Our model correctly predicts the urinary beta(2) -m, RBP4 and alph

256 and all crRNP genes were deleted, uptake of correctly processed spacers was observed, indicating tha

257 isk in East Asians and 25% in Europeans, and correctly re-classify 20-37% of the cases in validation

258 te the likelihood of a specific person to be correctly re-identified, even in a heavily incomplete da

259 cation index shows that NT-proBNP would have correctly reclassified 3% of patients with SAEs at the e

260 e-endorsed NT-proBNP ruleout threshold, were correctly reclassified by the 8-microRNA panel in the ma

261 0.144), with 26.8% and 9.8% of participants correctly reclassified, respectively.

262 trates that this deep learning algorithm can correctly reclassify IPNs into low- or high-risk categor

263 In the blind test on the TP53 gene, DAMpred correctly recognized the mutations causative of Li-Fraum

264 s found in benign and malignant samples were correctly recognized with 93.5% sensitivity and 80.6% sp

265 In order to assess the ability of Meltos to correctly refine SNV trees with SV information, we teste

266 k of the Hessian, although these values must correctly reflect the influence of the whole environment

267 apable of inferring variable birth rates and correctly rejecting variable models in favor of effectiv

268 This filtering strategy rapidly and correctly removes 96.2% of all pairwise HCV sample compa

269 uring mutations that impair their ability to correctly repair the DNA.

270 indicate that pol eta is not responsible for correctly replicating T-containing pyrimidine dimers, a

271 In the new data, populations are correctly represented as risk-averse, largely avoiding o

272 The simulations were able to correctly reproduce the location of both local and non-l

273 First-principles calculations have correctly reproduced the nonlinear dependence of the c l

274 te this, recombination intermediates are not correctly resolved, leading to the formation of chromoso

275 This HiCanu assembly correctly resolves 337 out of 341 validation BACs sample

276 We find that certain words are correctly retrieved across participants irrespective of

277 ted G protein-coupled receptors (GPCRs) must correctly select from hundreds of potential downstream s

278 Group consensus with correctly selected laterality was achieved in all patien

279 portunity to assess the ability of models to correctly simulate the changes in fish distribution and

280 s appear to contain the essential physics to correctly simulate the spectral continuum of global-mean

281 support was poor; when analysis models were correctly specified and common support was poor, the typ

282 nt differentiation protocols generating >80% correctly specified cells for implantation, resultant gr

283 Correctly specifying population allele frequencies for e

284 ia/HbE patients, which showed restoration of correctly spliced beta-globin mRNA and led to haemoglobi

285 events while at the same time enriching for correctly targeted progeny.

286 s yet again to help others design and report correctly the results of clinical studies on IOL power c

287 n the Bayesian networks to be able to sample correctly the uncertainty space in phenotype prediction

288 s had less mislabelling, and when identified correctly through DNA barcoding, had on average lower me

289 ide at 350 degrees C results can be assigned correctly to the decomposition of the lead white pigment

290 ich delays anaphase until chromosomes attach correctly to the mitotic spindle.

291 Assessment of GVRs revealed that the correctly trained model highlighted conventional radiogr

292 applications: one of them utilizes noise to correctly transmit signals corresponding to different vo

293 nd cancer models will improve our ability to correctly uncover cancer genetic dependencies and will f

294 y slightly increase the proportion of people correctly using the devices and reduce time to administr

295 in classifying all four taxonomy categories correctly was found to be >99%.

296 make optimal decisions under risk, one must correctly weight potential rewards and penalties by the

297 model of exchange are sufficient to recover correctly weighted structural ensembles from simulations

298 icipants, the system identifies 95% of users correctly when trained on less than 5 min of tracking da

299 nfection, bacterial or fungal, was predicted correctly with 92% accuracy.

300 up to 90.9% of M. tuberculosis rpoB variants correctly, with sensitivity of 92.2%, specificity of 83.