ライフサイエンスコーパス: proposed model

1 e B3LYP-D3/6-311 G (d,p) levels based on the proposed model.

2 may help in operationalizing and testing the proposed model.

3 ing empirical support for key aspects of the proposed model.

4 ments further corroborate the utility of the proposed model.

5 fects and make predictions that can test the proposed model.

6 literature, can be well explained using the proposed model.

7 Other types of DNA are also shown to fit the proposed model.

8 plexes to provide additional support for the proposed model.

9 ividual elementary rate constants within the proposed model.

10 ographic and mutagenesis data supporting the proposed model.

11 values, supporting the predictability of the proposed model.

12 ve control - can further refine the authors' proposed model.

13 ein occupancy profiles, hence supporting our proposed model.

14 ed to illustrate the basic principles of the proposed model.

15 lation which is consistent with a previously proposed model.

16 data were found to be in accordance with the proposed model.

17 to verify the multifractal properties of the proposed model.

18 epoxy values indicates the robustness of the proposed model.

19 structure did not improve the quality of the proposed models.

20 were less satisfactory in prediction in the proposed models.

21 , in direct conflict with some (but not all) proposed models.

22 al criteria demonstrated the validity of the proposed models.

23 of the-art techniques, we have revisited the proposed models.

24 compounds using the parametric values of the proposed models.

25 ion is different from that of all previously proposed models.

26 imiting the clinical implementability of the proposed models.

27 this TnT1-tropomyosin design over previously proposed models.

28 t difficult to determine the validity of the proposed models.

29 nd stable deterministic algorithm to fit the proposed models.

30 In particular, the proposed model: 1) confirms that the majority of noise i

31 uctural and practical identifiability of the proposed model a posteriori.

32 The proposed model accounts for differences in how place and

33 Accordingly, the proposed model accounts for these properties in order to

34 Conclusion The proposed model accurately predicts high- and low-risk RS

35 For the kinetic resolution, the proposed model accurately predicts the faster reacting e

36 ne malignant nodule is detected) or not, the proposed model achieved an accuracy of 83%, and a sensit

37 On the BraTS validation dataset, the proposed models achieved mean 95% Hausdorff distances of

38 it from the 2018 BraTS training dataset, the proposed models achieved mean Sorensen-Dice scores of 0.

39 The proposed model achieves a mean Dice coefficient index (D

40 teins from the sequence information; (2) the proposed model achieves better performance and outperfor

41 es used in other fragment-based methods, the proposed modeling algorithm, SmotifTF, can employ an exh

42 Our findings demonstrate how the proposed model allows delaying the epidemic outbreak and

43 The proposed model allows exploration, visualization and pat

44 The proposed model allows risk stratification of HT candidat

45 A comparison between the proposed model and experimental data, of both frequency

46 results provide an experimental test of the proposed model and have identified regions of the N-term

47 nt can be calculated preoperatively with the proposed model and may help guide patient selection for

48 tudies demonstrated the effectiveness of the proposed model and the improvement of the statistical po

49 By simulation studies, we show that the proposed models and tests are very robust in terms of ac

50 We evaluate and compare the proposed models and their application to the number of C

51 The proposed model approach allowed taking the best advantag

52 The proposed modeling approach may be of use to elucidate th

53 To illustrate the proposed modeling approach we focus on the reductive deh

54 The efficiency and predictive ability of the proposed model are confirmed by comparing the results of

55 numerous Rhizobiales; thus, our results and proposed model are fundamental to understanding polar gr

56 The three novel features of the proposed model are: (i) requires fitting its six empiric

57 The proposed models are based on readily available real-time

58 Previously proposed models are based on the volume fraction of the

59 on stereochemistry is also provided, and the proposed models are compared with related systems in the

60 rap resampling (n = 1000) indicates that the proposed models are robust to minor perturbations in inp

61 The proposed models are robust to parameter perturbations an

62 ical research needed to test and explore the proposed model, are also briefly discussed.

63 existence and uniqueness of solutions to the proposed model as well as a computationally efficient st

64 nt with experimental results, validating the proposed models as reliable representations of novel glc

65 e) exhibits progressive hearing loss that we proposed models aspects of A1555G-related pathology in h

66 At the ontogenetic level, the proposed model assumes age-dependent interactions betwee

67 Mutant analyses supported this proposed model at a significant proportion of the tested

68 The proposed model based on the atomic force microanalysis s

69 AUC was 0.818 (95% CI: 0.734, 0.902) for the proposed model based on the observations used to create

70 Several theorists have recently proposed model-based reinforcement learning as a candida

71 We also show the validity of the proposed model by investigating the activity of two prot

72 so develop an efficient algorithm to fit the proposed models by incorporating Expectation-Maximizatio

73 Additionally, the proposed model can achieve 90% precision and recall for

74 The proposed model can advance our interpretive framework fo

75 The proposed model can also be relevant for other cell compo

76 The study demonstrates that the proposed model can be advantageously used for interrogat

77 s problem, namely under which conditions the proposed model can be applied without trip data for cali

78 We show that the proposed model can be further exploited to extract kinet

79 The proposed model can be used for optimizing the dialysis r

80 experiments are used to demonstrate how the proposed model can explain a sensorimotor system's abili

81 The proposed model can open a new field in the application o

82 or ovarian cancer patients, showing that the proposed model can potentially uncover key drivers relat

83 In certain scenarios, the proposed model can take on a qualitatively different sha

84 Our proposed models can predict two kinds of missing functio

85 The proposed model CapsNet-SSP outperforms existing methods

86 Numerical simulation results show that the proposed model captures the phenomena occurring in SPME,

87 The proposed model claims effortless monolingual processing.

88 The proposed model confirms the gating charge transfer hypot

89 er models based on redundancy reduction, the proposed model conveys more information about the origin

90 ng posting information written by users, our proposed model could accurately identify whether a user'

91 We envisage that the proposed model could be very useful in physical and engi

92 The proposed model could fit the variance/covariance structu

93 explicitly rendered unimportant, leaving the proposed model deprived of behavioral feedstock and prox

94 diffraction data and agrees with an earlier proposed model derived by complementary means.

95 Most proposed models describe cell division as a discrete map

96 provides confirmation of the veracity of the proposed model describing the interactions of copper and

97 The proposed model did not present a lack of fit, explaining

98 g our theoretical findings, showing that the proposed model displays dynamics that are rich-enough to

99 Our proposed model divides the region of interest into pixel

100 Thus, our study shows that the proposed model does not universally predict NK-mediated

101 The proposed model effectively captures population dynamics

102 The range of shear rates covered by the proposed model encompass venous and arterial thrombosis,

103 he Fermi level using the redox couple, and a proposed model encompassing these effects are presented.

104 We note that our proposed model exhibits a superior performance compared

105 Based on the proposed model, experimental impedance spectroscopy resu

106 The proposed model explains a wide range of phenomena report

107 Hence, the proposed model explains the dynamics forming the plasmon

108 No currently proposed model explains the observed phenotypes across a

109 We solve the proposed model, finding trade-off conditions on the life

110 This proposed model for aerosol-water distribution underestim

111 In a proposed model for AMPAR assembly, the amino-terminal do

112 A previously proposed model for binding of polyarginine and protamine

113 nt currents are analyzed in light of a newly proposed model for charge-trapping dynamics that renders

114 The proposed model for ClyA represents a non-classical pathw

115 btained results it can be concluded that the proposed model for converting EC50 into TEAC values and

116 The proposed model for Msp is consistent with the enzymatic

117 Thus our result validates the proposed model for promoter escape and also suggests tha

118 However, the proposed model for speech evolution inadequately integra

119 any of these questions, as well as provide a proposed model for systemic signal integration, focusing

120 The proposed model for the catalytic H(2)O(2) reduction to H

121 thelial-to-mesenchymal transition (EMT) is a proposed model for the initiation of metastasis.

122 and experimentally validated the previously proposed model for the interaction of langerin extracell

123 lations can also be found in dozens of other proposed models for advanced oxidation processes.

124 scuss these roles in the context of recently proposed models for germline potency and epigenetic inhe

125 A common theme among previously proposed models for network epidemics is the assumption

126 This review describes previously proposed models for passive and active Ca(2+) transport,

127 Our experiments differentiate among several proposed models for rhythm generation in the vertebrates

128 In contrast to proposed models for the homologous ERAP1, no specific re

129 Proposed models for these deletions implicated processin

130 In the proposed model, formic acid is first physisorbed on bism

131 The proposed model framework enables interpretation and desc

132 sed to perform the variable selection in the proposed model framework to identify signature causal mi

133 idea in a mechanical tissue simulation, the proposed model gives rise to efficient spreading and can

134 While the proposed models harmonize with many experimental finding

135 We show that our proposed model has an anomalous slow diffusion character

136 The proposed model has been shown as a promising mathematica

137 The proposed model has the potential to offer a more complet

138 The proposed model have been applied to a lung cancer datase

139 In the experiments, we show that the proposed models help improve the classification accuraci

140 Our proposed model identified very preterm infants at high-r

141 knife test that the accuracy achieved by the proposed model in identifying the m(6)A site was 78.15%.

142 use simulations to show the advantage of our proposed model in terms of variable selection accuracy o

143 interest to evaluate the performance of the proposed model in that situation which is the current fo

144 This result corroborates the recently proposed model in which "semireverse" electron transfer

145 ing loop within the DBD, consistent with the proposed model in which the transient opening of this re

146 The proposed model incorporates the disease risk score as an

147 Experimental results and the proposed model indicate that band edge alignment can be

148 e RAG complex has not been defined, although proposed models invoke ATM and RAG2's C terminus in main

149 The proposed model involves two DNA damage response proteins

150 An emergent feature of the proposed model is a critical substrate concentration S*,

151 A key feature of the proposed model is a specific relationship between how od

152 The proposed model is a step forward towards achieving the g

153 The proposed model is able to forecast EEG signals 5.76 s in

154 l layers and saliency maps, we find that the proposed model is able to learn the significant features

155 The proposed model is algorithmically simple and encompasses

156 The proposed model is based on the Langmuir-Hinshelwood-Houg

157 The proposed model is compared with several other models, by

158 The proposed model is expected to be instrumental in underst

159 The proposed model is expressed in the following steps: (1)

160 Besides, the proposed model is flexible and offers an appropriate tre

161 The proposed model is implemented in a numerical simulator a

162 thetic and real-world networks show that the proposed model is robust against insufficient data and h

163 The effectiveness of our proposed model is shown by using comprehensive simulatio

164 me required to perform simulations using the proposed model is shown to be similar to the time it tak

165 The proposed model is suited to fit experimental data and to

166 The proposed model is tested by molecular dynamics simulatio

167 A proposed model is that upstream, highly interconnected r

168 The proposed model is the simplest solution consistent with

169 Accuracy of the proposed model is validated by comparison studies with a

170 The proposed model is validated by its application for the e

171 The application of the proposed model is verified using high-resolution histori

172 The proposed model lends itself well to prospective studies

173 Our proposed model may facilitate the rational design of PfP

174 Our proposed model may further be used to guide the process

175 onsive patients, and a discussion of how the proposed model might explain individual differences in v

176 The proposed model might facilitate the quantitative evaluat

177 These results suggest that in the proposed model, morphine plays a differential role in SI

178 Proposed models mostly focus on the different styles of

179 ed volume to evaluate the performance of the proposed model needed in discerning the role of LAD hete

180 The proposed model not only provides predictions of active a

181 mponents of this pathway further support the proposed model of a SPRTN-CHK1 cross-activation loop.

182 provides experimental support to the theory-proposed model of active sites in Ni(1-x)Fe(x)OOH.

183 Previous experimental work has led to a proposed model of adsorption that involves an unusual cl

184 This would be consistent with a recently proposed model of an autoinhibited form of the plant ACA

185 negotiation research and illustrate how the proposed model of attacker-defender conflicts can inspir

186 y ectopic synapsis in NAHR together with our proposed model of chromosomal compression/extension/loop

187 y the Ornstein-Uhlenbeck process, a commonly proposed model of continuous trait evolution.

188 otype, which is consistent with a previously proposed model of cooperation between EZH2 WT and Y641N

189 While this finding supports a proposed model of G stimulation, we also find from addit

190 Both the mathematical analysis of the proposed model of learning dynamics and the learning per

191 Using a recently proposed model of locomotor wave propagation, we show th

192 y the two assays to investigate a previously proposed model of membrane association for the luminal d

193 ht, a feature not captured in any previously proposed model of path integration.

194 By fitting the parameters of the proposed model of reversible MB interactions to the expe

195 proof-of-concept implementation is fit by a proposed model of the CEP process.

196 We confirm previously proposed models of autoregulation in SRSF7 and U2AF1 gen

197 We present the current evidence for the two proposed models of EET taxis, "electrokinesis" and flavi

198 so compare features of old and more recently proposed models of eyespot development and propose a sch

199 Proposed models of hematopoiesis suggest that quantitati

200 ct targets, allowing us to eliminate several proposed models of HY5's mechanism of action.

201 , we discuss J chain in light of the various proposed models of its expression and regulation, with a

202 Thus, proposed models of neural crest evolution postulate vert

203 PhoB family of RRs in contrast to previously proposed models of OmpR activation.

204 ls, has been a long-appreciated obstacle for proposed models of prebiotic organophosphate formation.

205 arying disorder, which allow comparison with proposed models of PT domains.

206 Among the many proposed models of the cohesin complex, the 'core' cohes

207 tide 1a are fundamentally different than the proposed models of the fibrils formed by alpha-synuclein

208 The proposed model offers direct interfaces to material indu

209 e way for future clinical application of the proposed model on individual patients, including estimat

210 Training the proposed model on this clinical trial dataset and testin

211 By training the proposed models on a dataset of wavelength-splitting gra

212 This proposed model opens a new way to quantitatively underst

213 The proposed model overlooks the contribution of a relationa

214 However, this widely proposed model overlooks the fact, established 100 years

215 The proposed model possesses the key feature of combing the

216 The proposed model predicts that such signal amplification s

217 rmore, evaluations by experts shows that our proposed model produces such high quality FA images that

218 Therefore, the proposed model proved to be promising and reliable for v

219 The proposed model provides a basis for computational simula

220 The proposed model provides a basis for understanding the me

221 The proposed model provides a coherent account of learning i

222 The proposed model provides a mechanical explanation for sev

223 The proposed model provides a statistical tool to correct or

224 The proposed model provides an accurate, yet computationally

225 The proposed model provides an easy way to evaluate the impa

226 In this setting, our proposed model provides higher sensitivity than existing

227 The proposed model provides scores associated with risk of e

228 structure and computational innovations, the proposed model provides testable hypotheses of the physi

229 at the time evolution of the dynamics in the proposed model qualitatively agrees with the real-world

230 there is little consensus for the LCA, with proposed models ranging from African ape to orangutan or

231 On the BraTS testing dataset, the proposed models ranked fourth out of 61 teams.

232 The proposed model reduces the loss of (99)Mo by decay and a

233 Our proposed model represents an advance in the ability of s

234 We show that the proposed model represents RBC membrane with the appropri

235 After adjusting for observational bias, the proposed model reproduces key structural features of rea

236 The proposed model reproduces the regime in which spontaneou

237 The processing in the proposed model requires little computational resources a

238 cal trip data is available, we show that the proposed model's estimation accuracy is as good as other

239 We discuss the proposed model's inability to account for culturally eme

240 We show that the proposed model satisfies several cognitive face effects

241 The proposed model serves as a useful tool for predicting th

242 The proposed model sheds light on the evolution of cooperati

243 nic activity is common, our observations and proposed model should apply more broadly.

244 The proposed models show that carrying capacities of T cell

245 sible catalyst conformations, culminating in proposed models showing possible interactions of farneso

246 According to the proposed model, spectrin's quaternary structure and mech

247 The proposed modeling strategy can help to explore certain f

248 rimental and numerical results show that the proposed model successfully simulates wheat RSA growth a

249 ng its progression rate; the dynamics of the proposed model suggest that by increasing the host immun

250 Recently proposed models suggest that long-range force transmissi

251 One proposed model suggests that synaptic activity leads to

252 Moreover, the structure combined with the proposed model suggests that the shift from the 'open-ri

253 We show that the proposed model surpasses the statistical accuracy of the

254 These results lead to a proposed model that centrioles may duplicate via a templ

255 These observations support a previously proposed model that invokes net membrane deposition at t

256 ed with spore germination analyses support a proposed model that the interface between the two subdom

257 e descriptive and explicative aspects of the proposed models that are currently in use require greate

258 ciated sterility, consistent with previously proposed models that nuclear genomes can regulate the ph

259 In the proposed model, the Bezier curves' control points repres

260 Within the proposed model, the impact of coupling factor of network

261 Following the proposed model, the joined dynamics of the protein parti

262 In the proposed model, the N-terminal actin-binding site of lei

263 In the proposed model, the strongly reducing surface site is as

264 , Japan), we show that, contrary to commonly proposed models, the length scale of rock matrix diffusi

265 significant differences among the previously proposed models, they all agree with our experimental fi

266 According to the proposed model this behavior is due to the stochastic mi

267 currently used phylodynamic methods with our proposed model through clinically-relevant, seasonal hum

268 d form of Arrhenius equation was used in the proposed model to facilitate the precise estimation of p

269 Proposed models to explain the observed enrichment of ex

270 The proposed model took into account the interaction effect

271 The proposed model used a transfer learning approach based o

272 The proposed model uses background stratification to provide

273 The proposed model uses dimensionality reduction for preproc

274 The proposed model uses Equalization-Cancellation (EC) proce

275 The proposed model uses the approximation of an effective sp

276 We trained the proposed model using huge publicly available databases,

277 We evaluated the performance of the proposed model using simulation studies and subsequently

278 We compare the four proposed models using two criteria: the approximate Baye

279 Besides, the proposed model was able to predict glucose uptake rate a

280 The proposed model was applied to three case studies concern

281 The proposed model was calibrated against urinary excretion

282 Experimental validation of the proposed model was carried out in the presence of a synt

283 The proposed model was therefore able to explain that freque

284 The proposed model was used to systematically examine area-l

285 In contrast to previously proposed models, we find that Nmu does not promote arous

286 iological and statistical assumptions in the proposed models, we were able to identify the assumption

287 The experimental results and proposed model were corroborated by ab initio Car-Parrin

288 The rates of correct classifications for the proposed models were higher than 90% and their performan

289 Current and proposed models were tested for survival prognostication

290 lusivity analysis in support of a previously proposed model where APOBEC activity is the underlying p

291 We synthesize several recent findings into a proposed model where the transcription of lncRNAs can se

292 udy further discusses the implication of our proposed model, which can serve as a supplementary tool

293 Moreover, the expression in the proposed model, which has clear physical meanings in all

294 with behavioral outputs, we test whether the proposed model, which is designed to account for neural

295 The proposed model will likely help to stratify patients at

296 rovide evidence for the compatibility of the proposed model with recent findings showing senescence i

297 Comparing results of the proposed model with those in literature, it is clear tha

298 We compared the performance of the proposed model with those of the state-of-the-art DL mod

299 The proposed model, with the allocation of deMELD, has the p

300 The proposed model yielded 0.890 AUC, 75% sensitivity, and 9