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1 p, whereas the ePLND group was performing as predicted.

2 Measured spectra agreed well with those predicted.

3 s in mutualistic systems can be analytically predicted.

4 ally, virtual screening of 29332 metabolites predicted 146 competitive OCT1 ligands, of which an endo

5 phy (GC x GC) retention times can be used to predict 26 relevant properties for nonpolar chemicals, s

6 al forests, a machine learning technique, to predict 6 cardiovascular outcomes in comparison to stand

7 nsity and pleasantness and also successfully predicted 8 among 19 rated semantic descriptors ("garlic

8 Baseline DRIL predicted 8-month improvement in BCVA (point estimate, 0

9 PC1&PC2 independently predicted 90-day mortality (ORs 2.6, 95%CI = 1.3-6.4; an

10 omas, the presence of the 425-gene signature predicted a significantly shorter survival.

11 th alleles, with only one of the two alleles predicting a functional TCRbeta protein.

12 t least a moderate improvement, and 0.73 for predicting a large improvement were observed.

13 Intriguingly, our model predicts a weaker response to therapy if there is negati

14 combination of metabolites that effectively predict ADG.

15 TERT promoter mutations alone did not predict adverse outcomes (P = 0.50), but the presence of

16 s cell carcinoma (HNSCC) and biomarkers that predict altered immunity, thereby enabling personalized

17 Finally, childhood maltreatment levels predicted amygdala, but not BNST, hyperactivity during s

18 eneral, clinicopathological factors known to predict and drive allograft fibrosis include graft quali

19 Here, we analytically predict and experimentally realize a mixed-order equilib

20 Via homology modelling we predicted and confirmed an integral role of arginine(172

21 Consistent with previous theory, we predicted and experimentally observed that spatial diffu

22 iven expression levels and specificities, we predicted and tested inhibitory and cytotoxic NK potenti

23 ons concerning the floral cues, we measured, predicted, and finally artificially recreated multimodal

24 Among patients with SHFM-predicted annual mortality </=5.7%, those with a SPRM-pr

25 cortical target and the subgenual cingulate predicts antidepressant response.

26 gative predictive value for NLP algorithm in predicting asthma status were 97%, 95%, 90%, and 98%, re

27 Information to predict bacterial therapy outcomes was provided by pretr

28 roportion of animal tissue consumed could be predicted based on Na, N or net primary productivity.

29 model community's overall metabolism can be predicted based on the metabolism of the individuals.

30 competing decision alternatives and strongly predicts behavioral value biases in decisions made appro

31 ticle, we briefly describe some successes in predicting behaviors and describe the challenges over th

32 ental care previously, but all have roles in predicted behavioural precursors for parenting.

33 n be limited by the difficulty of rationally predicting beneficial mutations, here we used a more com

34 n Crohn's disease, and identify factors that predict benefit or harm.

35 Ovarian teratoma was most common and was predicted best when both N-methyl-D-aspartate receptor-I

36 The smaller subcutaneous adipocyte size predicted better glycemic control in T2D.

37 with energy and 1 or more nutrient intakes, predicted bias in estimated nutrient relative risks was

38 Extravascular lung water was indexed to predicted body weight (EVLWPBW).

39 er increasing tidal volume from 6 to 8 mL/kg predicted body weight predicted fluid responsiveness wit

40 lack of functional improvement post-TAVR was predicted by a mix of baseline and periprocedural factor

41 EPS are robustly predicted by a rebinding model that considers the microe

42 est genetic counseling, and genetic ancestry predicted by a statistical model, were compared for conc

43 direction of this effect is opposite to that predicted by contemporary theoretical accounts of depres

44 value to explain contempt: relational value, predicted by cooperation, and agentic value, predicted b

45 ce, whereas the persistence of antibodies is predicted by DSA strength and specificity.

46 n Local tumor recurrence in the NEPTR may be predicted by FA metrics at baseline in patients with gli

47 Visual shape judgments were, however, predicted by formants F2 and F3.

48 D simulations agree very well with the trend predicted by MD simulations and a strain rate dependence

49 nge during electroomostic flow hysteresis as predicted by numerical analysis.

50 ion orders of magnitude greater than what is predicted by Plank's blackbody theory.

51 predicted by cooperation, and agentic value, predicted by status.

52 are present in yet other species, exactly as predicted by the alternative loss of either of the inter

53 y determined B factors and with fluctuations predicted by the Gaussian network model.

54 over 13% of genes, and 651 novel genes were predicted by the GC-specific MAKER protocol.

55 Strikingly, as predicted by the HLCA and PEI models, the first-step dec

56 se to different clusters in the PPA could be predicted by the similarity in their image properties.

57 Q scores of individuals with ASD are instead predicted by the stability of their brain dynamics.

58 representative infant-sibling studies) were predicted by worse stochastic patterns in their spontane

59 uid (CSF) levels of cytokines and chemokines predicted C-IRIS and are potential predictive biomarkers

60 es were driven by the prevalence of elevated predicted cardiac risk and diabetes mellitus.

61 es H141, N146, F147, and Y150 cluster at the predicted central core of the trimeric interface and are

62 number of chemical agents, and mutations at predicted channel-facing positions modulate this effect.

63 This analysis confirms the predicted chaotic dynamical behaviour of the Solar Syste

64 Annotation with predicted chemical formulas is also not implemented and

65 ot develop anticorrelated firing patterns or predict choice accuracy.

66 he potential of post-PCI FFR measurements to predict clinical outcome in patients from FAME 1 and 2 t

67 tween the sgACC and the default mode network predicted clinical improvement, as did more positive amy

68 damental tool for formulating, analyzing and predicting complex phenomena.

69 ting structures at specific compositions and predicting compositions for known crystal structures, wi

70 and the effect of compartment composition on predicted concentrations.

71 Furthermore, miRNAs that predicted conversion status were found to do so in a man

72 uick Sequential Organ Failure Assessment for predicting critical care intervention was 38%.

73 Model-predicted deficits in PEEP-dependent lung recruitment co

74 As the methods were found to predict different subsets of driver genes, we propose a

75 te that MAPPIN outperforms CADD and Eigen in predicting disease inheritance modes for all validation

76 lation models and ecological niche models in predicting documented shifts in the ranges of 20 British

77 progenitors to improve their derivation and predict dopamine neuron content after engraftment.

78 Time series analysis was used to predict drowsiness.

79 was associated with the highest accuracy to predict durable segments (area under the curve=0.73).

80 The predicted dynamic properties of the three proteins are i

81 or cells (CTC), which also show potential to predict early relapse.

82 vary temporally, limiting their potential to predict ecological and evolutionary outcomes.

83 esults challenge the trait-based approach to predicting ecosystem function by demonstrating that diff

84 loop-helix (bHLH) transcription factors with predicted effector binding elements (EBEs) for AvrHah1.

85 Predicting emergent properties represents a huge theoret

86 sually cited in the literature and closer to predicted environmental concentrations.

87 we measured proteins involved in 83% of all predicted enzymatic reactions in the tomato metabolic ne

88 t to estimate the genetic correlation due to predicted expression between pairs of traits.

89 Classical learning theories predict extinction after the discontinuation of reinforc

90 This will be important in predicting extrusion hotspots and dynamics in vivo, with

91 associated with female mate choice that also predicted female morphology along the benthic-limnetic t

92 to the absolute change in the percentage of predicted FEV1 was 6.8 percentage points for tezacaftor-

93 lume from 6 to 8 mL/kg predicted body weight predicted fluid responsiveness with areas under the rece

94 tal strain (PS) to substantially improve the predicted flux distribution of the parental strain.

95 a more compact conformation (Dmax=320A) than predicted for a fully extended coiled-coil structure (>5

96 onic performance at low temperature has been predicted for a long time, it has not been directly obse

97 ensity for GTP misincorporation opposite dT, predicting frequent A-->G errors in RNA with rates of ap

98 different regions, illustrating a principle predicted from efforts in de novo protein design.

99 one, the behavior of the spatial game can be predicted from the behavior of the replicator equation f

100 CA-that is a level of SA lower than would be predicted from the FCA.

101 ons the best difference in arrival times, as predicted from the frequency tuning for either ear, and

102 chological characteristics can be accurately predicted from their digital footprints, such as their F

103 so may increase the capability of models to predict future conditions in P-limited tropical forests,

104 xual behaviors, alongside vaccine status, to predict future disease burden.

105 able in clinical settings, can be useful for predicting future risk of suicidal behavior.

106 ion, driven by monocyte-derived macrophages, predicts future cardiovascular events in the general pop

107 ic pathways, and benign breast disease (BBD) predicts future non-TNBC.

108 ts that atmospheric drought is important for predicting GPP under current and future climate; we high

109 The ability to predict graft failure or primary nonfunction at liver tr

110 An index that is derived to predict graft failure using donor and recipient factors,

111 uman pharmacokinetic properties, including a predicted half-life of 16-19 h.

112 ) during exposure to persuasive messages can predict health behavior change.

113 put screening (HTS) in vitro data of PAHs to predict health risks associated with coarse and fine PM.

114 We say predicted here because in some cases the behavior of the

115 raints in structure prediction techniques to predict high-resolution models.

116 rd a potential novel prognostic biomarker to predict high-risk tumors before they metastasize.

117 Genotypes that predict higher plasma efavirenz exposure were associated

118 study sites, there was no difference between predicted (hospital mean of 6.18 deaths per 1000 admissi

119 The brain needs to predict how the body reacts to motor commands, but how a

120 s plants and animals and (ii) can be used to predict how the resulting geometry of biological network

121 r relevant accessible information for use in predicting how a patient will respond to a given propose

122 ecological and evolutionary mechanisms when predicting how ecosystem-level processes respond to warm

123 favorable ADME profile leading to favorable predicted human pharmacokinetic properties, including a

124 ifferentiating metabolites could potentially predict IBD risk.

125 he neural pattern in right LPFC successfully predicted idiosyncratic variability in search performanc

126 by RT-qPCR Corresponding target transcripts, predicted in silico and validated by RT-qPCR, often show

127 Unconventional superconductivity was predicted in single-layer graphene (SLG), with the elect

128 e urokinase receptor (suPAR) levels strongly predict incident CKD stage 3 in adults.

129 A random survival forest was trained to predict individual risk from baseline values of cholines

130 This demonstrates the possibility of predicting individual behaviors across tasks with patter

131 A low %DHR(+) value strongly predicts infection risk in X-linked CGD carriers, and th

132 urthermore, changes in IL-6 following stress predicted intraindividual variability in perceived stres

133 variables, but not the variables themselves, predicted involvement/non-involvement in coercive measur

134 In the first, risk was predicted jointly by low levels of SA and high levels of

135 baseline levels of adiponectin significantly predicted ketamine's antidepressant efficacy, suggesting

136 ption and release of heat from landfills, to predict landfill temperatures, and to understand the rel

137 attack rate, are substantially improved for predicted lead times up to 10 weeks.

138 ent a deep neural network that prospectively predicts lineage choice in differentiating primary hemat

139 g the B3LYP, CASPT2, and CCSD(T) methods all predict linear geometries for both the anions and the ne

140 heories used to describe amyloid aggregation predict low oligomer concentrations and do not take into

141 unctionals, with particular consequences for predicting material functionality across dense and spars

142 ed with MDD was created, and its accuracy to predict MDD, using area under the curve, logistic regres

143 These in turn alter the predicted mechanical response of the myosin independent

144 uce the SteadyCom optimization framework for predicting metabolic flux distributions consistent with

145 able adjustment, treatment arm independently predicted MI at months 12 to 15 (P<0.001) and 30 to 33 (

146 microbial community dynamics is necessary to predict microbial response to perturbation.

147 incomplete CpG coverage and hence methods to predict missing methylation states are critical to enabl

148 In general, IA was most accurate in predicting mixture toxicity, while CA was the most conse

149 Furthermore, MAPPIN predicts mode of inheritance correctly for 70.3% of nsSN

150 n and habitat productivity hypotheses, which predict more animal consumption in N-poor and more produ

151 no-Nasal Outcome Test score might be able to predict more severe reactions and merits further study.

152 s underscore the adaptability of fusicoccin, predicting more potential targets than so far anticipate

153 id methyl ester (PCBM) mixture, and found to predict morphologies in agreement with experimental data

154 teria and qSOFA may have limited utility for predicting mortality in an ICU setting.

155 marker of adaptive immune defects, strongly predicts mortality during treated human immunodeficiency

156 rs, the separate and joint exposures did not predict MSDs.

157 five models were tested for their ability to predict nitrate concentrations in the experimental colum

158 us to change the designation of more than 87 predicted "noncoding RNAs" to conventional mRNAs coded b

159 Ribo-TISH can also predict novel open reading frames (ORFs) from regular ri

160 ndard population genetic models in fact well predict observed levels of both intra- and interhost var

161 voke Weber's law inappropriately, and cannot predict observed nectar concentrations of bat flowers or

162 timated the accuracy of the margin status to predict occurrence of residual or recurrent high-grade c

163 The resulting models accurately predicted odor intensity and pleasantness and also succe

164 tly, there is no generally accepted model to predict outcomes in stable coronary heart disease (CHD).

165 asible in children with DCM and is useful to predict outcomes.

166 d patient-derived xenograft (PDX) samples to predict pathway activity, and validated our approach of

167 linical aggressiveness, but do not perfectly predict patient outcomes.

168 the only cerebral autoregulation index that predicted patient outcome measured with the Glasgow Outc

169 antly, this characterization is effective in predicting patient survival, as well as in predicting se

170 and water, the dual OC + BC approach better predicted PBDE partitioning compared to the simple OC is

171 multiparametric sequence-specific model for predicting peptide electrophoretic mobility has been dev

172 The strength of this signal predicted performance beyond age and was modulated by D1

173 We found that at near-predicted physiological ionic strengths, the intramolecu

174 ar space severity in either location did not predict PiB-PET.

175 ions in two filament states, we successfully predict point mutations that shift the equilibrium betwe

176 n, biology, and therapy response and usually predict poor prognosis.

177 dicating a need to develop better markers to predict poor response to omalizumab therapy and alternat

178 STEAP4 was increased in human CRC and predicted poor prognosis.

179 Odds ratio (OR) for predicting poor outcome or standardized mean difference

180 The model shows promise for predicting population dynamics after multiple disturbanc

181 gest that the vast majority (98.4%) of those predicted positive instances are real positives.

182 Here we present a fast method to predict potential phosphorylation switches by mapping ph

183 rarchical clustering of the profile reliably predicted pre- and postoperative status.

184 As predicted, preadolescent stress in mice resulted in a si

185 lipids measured in adolescence independently predicted preclinical atherosclerosis in young adulthood

186 The predicted prestage 1 and 2 mortality risks were calculat

187 Both signaling pathways have been predicted previously using the perturbation-based Markov

188 69]) did not have a significantly different predicted probability of conceiving after 6 cycles of at

189 Genetic diagnosis can help predict prognosis, especially with regard to arrhythmia

190 es are not useful risk factors to measure to predict progression to death after coronary heart diseas

191 Our ability to predict protein expression from DNA sequence alone remai

192 hils, which positively correlated with FEV1 %predicted (r = 0.43; P = .008).

193 ay model of biological ET partly capture the predicted rate enhancements, our study highlights the im

194 and neural synchrony during visual attention predict reaction time.

195 ties of KRAS mutant and wild-type cells, and predict relapse based on increased cytarabine resistance

196 ere present in 16% of patients (5 of 31) and predicted resistance to ibrutinib with only wild-type pa

197 tion of bronchopulmonary dysplasia that best predicts respiratory and neurodevelopmental outcomes in

198 microRNAs (miRs) in rectal cancer that would predict response to radiation and identify target pathwa

199 nostic assays used to measure efficacy or to predict response.

200 They also predict responsiveness to transcranial magnetic stimulat

201 auses of uncertainty among 16 crop models in predicting rice yield in response to elevated [CO2] (E-[

202 ere used to create a risk assessment tool to predict risk of postdischarge VTE.

203 ernative to the Society of Thoracic Surgeons Predicted Risk of Mortality score for decision making an

204 annual mortality </=5.7%, those with a SPRM-predicted risk of sudden death below the median had no r

205 through the cocrystal complex, we sought to predict SAR through a QSAR model developed in house.

206 groups, uncertain results on genomic testing predicted second opinion use.

207 n predicting patient survival, as well as in predicting several known histopathological subtypes of b

208 ions in its stability (L299P and G267S), may predict severe disease.

209 Secondly, we predicted significantly higher fractions of SAVs with ef

210 s of human, macaque, and mouse, successfully predicting simulation and empirical electroencephalograp

211 minerals and therefore, has been employed to predict soil composition and heavy metal contents.

212 ssification models were developed that could predict solubility-enhancing mutations that maintain wil

213 In agreement with an absence of predicted structural domains, these were characterized a

214 ds have been developed to guide synthesis by predicting structures at specific compositions and predi

215 ing data, to describe doxorubicin uptake and predict subsequent population dynamics.

216 ivity patterns, and sound-biased AC patterns predicted subsequent hippocampal activity.

217 y of viruses isolated during acute infection predicts subsequent disease progression and drives CD4 d

218 However, several samples were poorly predicted suggesting that chemical heterogeneities as a

219 xperiential, and emotional states to victims predicted support for practices where victims are harmed

220 and YAP/TAZ, whose expression independently predicted survival.

221 The added value of the CMI in predicting survival outcomes was evaluated and compared

222 aration distance following verum acupuncture predicted sustained improvements in symptom severity at

223 ng ChIP peaks, identifying putative targets, predicting TF responsive enhancers, revealing potential

224 With these models, we predict that (1) relative to passive loading, polymeriza

225 Interestingly, we also predict that drug concentrations lower than the MTD are

226 tions, supported by experimental validation, predict that rare fixers will invade a population domina

227 We thus predict that tropical coastal communities will be seriou

228 sequencing and tumour reactivity assays, we predict that tumour reactive T cells are frequently pres

229 Such a segregation of function would predict that when activity in the superior colliculus is

230 In conclusion, we predict that within rosemary extract two specific consti

231 rrent level of childhood obesity, the models predicted that a majority of today's children (57.3%; 95

232 The top-ranked docked model predicted that a region in the nucleotide-binding domain

233 Power analysis predicts that a 1-point difference on this 5-step scale

234 Functional genome annotation predicts that at least 66 potential PME genes are contai

235 istent with population genetic theory, which predicts that deleterious mito-nuclear interactions are

236 Ecological theory predicts that high levels of temporal autocorrelation in

237 Although classical electrostatics theory predicts that ions are repelled from water/hydrophobe (e

238 eld theory reinforces these observations and predicts that LAMP is thermodynamically stable below a c

239 e role of IFN-alpha in immunosuppression and predicts that type I IFN modulation will be pivotal to c

240 To build a risk calculator to predict the 5-year onset of BPSD in youth at familial ri

241 Our simulations also predict the adhesion force profile to be distinct for Ca

242 emories about events in the environment that predict the availability of food.

243 To identify active sites, we first predict the CO binding at a large number of sites and se

244 ans may be able to use them in the future to predict the course of disease and, perhaps, the need for

245 s requires animal models that can accurately predict the delay to therapeutic onset.

246 is finding, DFT was also employed to readily predict the deltaNA values for a family of 16 literature

247 We used a mathematical model to predict the direct and indirect effectiveness of PCV by

248 To reliably predict the functional importance of single isolated UMC

249 Computational methods have been developed to predict the genomic locations of active enhancers based

250 pose a computational framework to accurately predict the Global Multidimensional Poverty Index (MPI)

251 tiple scattering effects and computationally predict the impact of local particles' environment on th

252 n the demographic cycle of trees, efforts to predict the long-term effects of a changing climate on t

253 iated PTP oxidation is not yet sufficient to predict the molecular responses of PTPs to oxidative str

254 ation of activity of several key kinases can predict the occurrence of long-lasting forms of LTP for

255 These models help to predict the perceptual qualities of virtually any molecu

256 to develop a clinical and biomarker score to predict the presence of significant CAD.

257 We were able to predict the proportion of cardiomyocytes many days befor

258 tures and HRCT findings were investigated to predict the risk for PTB.

259 show that this measure of neural engagement predicted the duration of time that viewers were willing

260 n, a defined timing program was present that predicted the initial wave of zygotic transcription.

261 th of the ensemble-encoded CS-US association predicted the level of behavioural conditioning in each

262 The method accurately predicted the top 10 fast and slow accumulating regions.

263 ropose CScape, an integrative classifier for predicting the likelihood that mutations are cancer driv

264 Thus, improved methods for predicting the magnitude of protein-ligand interactions

265 ovided better sensitivity and specificity in predicting the number of alleles associated with complex

266 ur approach achieves errors of roughly 5% in predicting the scattering properties of many biological

267 Accurately predicting the underlying neuropathological diagnosis in

268 It also provides a fundamental basis for predicting the wear coefficient for sliding rough contac

269 , self-selected dietary intake independently predicts the MFO in healthy men and women.The MFO and ma

270 electrical dysfunction and in the kidney, it predicts the onset of renal failure.

271 ication of genes whose basal mRNA expression predicts the sensitivity of tumor cells to cytotoxic tre

272 the major forces shaping range edges and to predict their dynamics.

273 ar dispersion and the additional Berry phase predicted theoretically for materials with non-trivial t

274 ocess in CZE is relatively simple and can be predicted to a much higher precision than current RP-HPL

275 r, we identified 2 or more missense variants predicted to be deleterious in each of 3 genes ( ACACB,

276 Mass drug administration was predicted to be more effective if continued over 2 years

277 Millions of cis-regulatory elements are predicted to be present in the human genome, but direct

278 r bristle development to screen Rab proteins predicted to be substrates for ICMT (ste14 in flies).

279 Methanol elimination is predicted to be the turnover-limiting step for one subst

280 Although several microRNAs were predicted to bind CircPVT1, only let-7 was found enriche

281 The UL144 structure was predicted to closely mimic the surface of HVEM, and we a

282 The RNASET2 variant rs2149092 was predicted to disrupt a consensus binding site for the tr

283 These are predicted to eject material rich in heavy radioactive is

284 ce of increasing aridity, climate warming is predicted to generally increase abundances and species r

285 idence for the paired Pfaffian phase that is predicted to host non-Abelian anyons.

286 The pathogenic HIST1H1E mutations are predicted to result in a product that is less effective

287 This is predicted to result in an elevation of the cellular frac

288 Climate change is predicted to result in rising average temperature of sea

289 However, mutations made within the predicted transporter substrate channel differentially a

290 fficient data to evaluate whether CR30 could predict treatment effects on PFS.

291 d to examine the associations of genetically predicted triglycerides with two ageing phenotypes - lon

292 The SDT predicts unilinear change toward very low fertility and

293 The computed values of spall strengths predicted using the QCGD simulations agree very well wit

294 rmation by speckle-tracking echocardiography predict ventricular tachyarrhythmias and provide increme

295 To describe factors that predict visual loss and complications in intermediate uv

296 Single gene tests to predict whether cancers respond to specific targeted the

297 e are currently no validated biomarkers that predict which mRCC patients will benefit from antiangiog

298 nge is the identification of biomarkers that predict which patients will benefit from these therapies

299 Contacts were predicted with two DCA methods (gplmDCA and PSICOV).

300 y and good transport properties results in a predicted ZT as high as 1.5 for both La3Cu3P4 and La3Cu