ライフサイエンスコーパス: formalism

1 change and J approximately -290 cm(-1) (-2 J formalism).

2 QSH) effect based upon the scattering matrix formalism.

3 aluate GB/interface resistance in a Landauer formalism.

4 were calculated by OLINDA/EXM using the MIRD formalism.

5 n a generalization of the Shockley-Read-Hall formalism.

6 ion obtained by an appropriate thermodynamic formalism.

7 tions within the Green-Kubo phenomenological formalism.

8 terms of experiments and a Landau-de Gennes formalism.

9 waves via the parametrized diastolic filling formalism.

10 transport phenomena within a lattice kinetic formalism.

11 we explain by employing a Landauer-Buttiker formalism.

12 nequilibrium Schwinger-Kadanoff-Baym-Keldysh formalism.

13 nts and morphological outcomes using a graph formalism.

14 ccuracy to the conventional Michaelis-Menten formalism.

15 fraction data within the superspace symmetry formalism.

16 e experiments, based on a mathematical graph formalism.

17 tributed data processing using the MapReduce formalism.

18 n and decision making suffers from a lack of formalism.

19 ation data using the Lipari-Szabo model-free formalism.

20 epigenetic landscape through a mathematical formalism.

21 of salt concentration following homopolymer formalism.

22 primary current distribution using Newman's formalism.

23 l binding phenomenon based on an established formalism.

24 a Markov process using a recently developed formalism.

25 hampered so far by the lack of a coherent ME formalism.

26 between species using combinatorial entropy formalism.

27 (red) and k(ox) predicted by the Marcus-Hush formalism.

28 des in a stoichiometric network, within this formalism.

29 rature using the Allen-Dynes-McMillan (ADMM) formalism.

30 d this apparently very different theoretical formalism.

31 d within the standard reinforcement-learning formalism.

32 , and express them using a scattering matrix formalism.

33 monolayers based on a microscopic many-body formalism.

34 learning model based on the Rescorla-Wagner formalism.

35 ract and grow in accordance with a power law formalism.

36 d analyzed their dynamics using the Langevin formalism.

37 hence do not support the prediction of event formalism.

38 n is also explored using the developed model formalism.

39 tent with a simulation based on Raman tensor formalism.

40 onal Werthamer, Helfand, and Hohenberg (WHH) formalism.

41 the material within the context of the k . p formalism.

42 ay be untestable without behavioral economic formalisms.

43 ignificant differences are noted for the two formalisms.

44 his space can be described using equilibrium formalisms.

45 ger times was frequently more robust for CPD formalisms.

46 ntation of connectomes by using graph theory formalisms.

47 tion in the framework of the Ginzburg-Landau formalism(11).

48 Our formalism allows for a general description of interactin

49 This formalism allows spin-dependent parameters to be determi

50 The proposed formalism allows the transformation of glucose in the co

51 The SVD-based formalism also associates combinations of disease-relate

52 ramework for model development, the S-System formalism also possesses significant potential as a robu

53 Apart from intuition, the formalism also quantitatively reproduces full numeric si

54 layer and demonstrate a rigorous theoretical formalism and analysis method for computing the induced

55 tion for stochastic effects, no well-defined formalism and associated special named quantities have b

56 ates urgently requires a general theoretical formalism and computational technique to reliably predic

57 TFcP](2+) complexes were analyzed using Hush formalism and found to be of class II (in Robin-Day clas

58 ures are first illustrated by a coupled mode formalism and later verified by employing the Steady-sta

59 of the thermodynamic coupling function (TCF) formalism and Markov state model analysis to a 50-mus da

60 We introduce such a formalism and prove that it is able to remove the errors

61 heoretical limitations of the authors' Dirac formalism and suggest the von Neumann open systems appro

62 els and point to potential advances in model formalisms and training procedures that promise to enhan

63 is-Menten, Briggs-Haldane, and Botts-Morales formalisms), and genetic repressor kinetics, thereby all

64 rs was incorporated via a reaction-diffusion formalism, and this suggests that ROS may be the primary

65 active linear elasticity and a normal modes formalism, and validate analytical predictions with nume

66 This formalism appears adequate to represent five commonly us

67 Mathematical formalisms based on a logic formalism are relatively simple but can describe how sig

68 ore properly described using the Marcus-Hush formalism are shown to yield incorrect values of k(0) an

69 nalysis of RDCs and holds the classic tensor formalism as a special case.

70 the concept of surface plasmons, keeping the formalism as simple as possible by focusing on the quasi

71 The Marcus-Hush formalism, as exposited by Chidsey, predicts that the va

72 nd were then used to generate a mathematical formalism based on general laws of the disease (i.e., di

73 A model formalism based on Voronoi construction is developed to

74 We have developed a general formalism based on Wigner's original ideas concerning an

75 Mathematical formalisms based on a logic formalism are relatively sim

76 We outline a formalism, based on a modified Kalman smoother, for usin

77 A Poisson distribution formalism, based on the generalized Franck-Condon princi

78 We develop a formalism, based on the mode expansion method, to descri

79 es, which should revitalize interest in this formalism by allowing classically impossible calculation

80 n extension of the widely applied Bell-Evans formalism by Friddle, De Yoreo, and co-workers, it is sh

81 can be described with the same mathematical formalism by replacing the electron-phonon coupling para

82 timation and model selection in the Bayesian formalism by using sequential Monte Carlo (SMC) approach

83 Using a recently developed formalism called topological quantum chemistry, we perfo

84 It is most interesting that the MWC formalism can also describe the interactions among drugs

85 demonstrate how optimizers generated by this formalism can be faster and more effective, while remain

86 This formalism can be readily used to evaluate uncertainty in

87 Numerical calculations with a Butler-Volmer formalism can estimate the contribution to the OCP mixed

88 This formalism can take advantage of any prior information, s

89 l solution concept based on the Markov chain formalism, Conley's Fundamental Theorem of Dynamical Sys

90 The formalism covers a broad range of steady-state dynamical

91 Such a mathematical formalism defines explicit mechanistic hypotheses about

92 We anticipate the results and formalism demonstrated to lead to a broad range of appli

93 1 eV), which could not be predicted by using formalisms derived from effective medium theory.

94 x nonequilibrium systems, the application of formalisms derived from equilibrium thermodynamics can p

95 the Non-equilibrium Green's Function (NEGF) formalism, describe their basic features, and underline

96 approach, when combined with the analytical formalism described here, brings additional sensitivity,

97 The model generated in the bonded cumomer formalism describes key pathways of tumor intermediary m

98 We present a general formalism describing an additive's tendency to trigger t

99 he exosome concentration in solution using a formalism describing diffusion-limited binding under con

100 ion can be explained with a chemical kinetic formalism describing the transitions between discrete st

101 We present a macroscopic formalism describing this interplay between first-order

102 The formalism developed here is also useful for multiscale f

103 simulate patterns of gene activities using a formalism developed to simulate patterns of memory in ne

104 cient of the redox species), the Marcus-Hush formalism effects a limiting current that can be signifi

105 The formalism eliminates quasiperiodicity and allows a full

106 The formalism elucidates the dramatic impacts of initial cel

107 The presented formalism enables investigations of the response of the

108 In the new rule-based formalism, every reactant and product pattern and every

109 Without additional evidence, however, these formalisms fail to explain why a decision-maker would ch

110 e automation is achieved by using a Bayesian formalism for all parameters of the model including the

111 ents show that the Monod, Wyman and Changeux formalism for allosteric proteins, originally developed

112 We provide a formalism for calculating the effects upon T2 of tissue

113 ically coupled spiking neurons and present a formalism for computing the network statistics in a pert

114 A general formalism for describing and analyzing these diverse sys

115 trode kinetics and the Michaelis-Menten (MM) formalism for enzymatic catalysis, with the BV model acc

116 Harnessing the model-free Lipari-Szabo based formalism for estimation of conformational entropy (S(co

117 We present a novel machine learning formalism for improved signature inference, based on mul

118 , the sector constraints represent a general formalism for integrating omics data from any experiment

119 This article describes a general formalism for obtaining spatially localized ("sparse") s

120 We introduce a maximum likelihood formalism for separating signal from a drifting baseline

121 resent a DEG integration model as a powerful formalism for the analysis of drug-effect relationships

122 nding is modeled using the McGhee-von Hippel formalism for the cooperative binding of ligands to a mo

123 l model, which incorporates the Debye-Huckel formalism for the electrostatics, was used and found to

124 Here, we present a formalism for the experimental determination of the FRET

125 explore the use of an XRD recursive-stacking formalism for the quantification of high-temperature tra

126 Revealed Preference Theory provides formalisms for establishing preference relations between

127 Our approach is based on a formalism from machine learning called 'multitask learni

128 doses were calculated according to the MIRD formalism from small-animal PET/CT images.

129 The formalism gives a complete account of both plasmons and

130 well established branch of mathematics whose formalism has a vast range of applications from the soci

131 t dynamics of such models, relatively little formalism has been established.

132 This formalism has great flexibility, which we show by illust

133 l descriptions such as the Clausius-Mossotti formalism have been used to relate molecular polarizabil

134 a summary metric derived from the hypergraph formalism-hypergraph cardinality-we investigate individu

135 Using probabilistic inference formalisms, I show how all these approaches can be unifi

136 tate equation generalises to a Fokker-Planck formalism if one extends the framework to model the ways

137 However, each code implements the formalism in a different way, raising questions about th

138 (BN) have been a popular predictive modeling formalism in bioinformatics, but their application in mo

139 The developed formalism in this study provides a simple and practical

140 To do so, we develop a formalism in which high-dimensional configurations are n

141 volved with the advent of different modeling formalisms in systems biology and their ability to be ex

142 The formalism includes exact treatment of Maxwell's equation

143 The formalisms independently developed in the two areas for

144 Analysis of the data in terms of the Marcus formalism indicates that the human glutathione transfera

145 ent) makes coherent and incoherent tunneling formalisms indistinguishable when only one level partici

146 ic changes with age, we recently developed a formalism inspired by the Pacemaker model of evolution t

147 tructed in this paper through a mathematical formalism involving conditional Gaussian mixtures combin

148 The Hilbert space formalism is a powerful language to express many cogniti

149 The quantum walk formalism is a widely used and highly successful framewo

150 The Mori-Zwanzig formalism is an effective tool to derive differential eq

151 The formalism is applied to simulated data obtained from a k

152 ion of the appropriate background theory and formalism is articulated before examining their biosensi

153 Finally, the Hodgkin-Huxley formalism is central to computational neuroscience to un

154 A grand canonical formalism is developed to combine discrete simulations f

155 A formalism is elaborated to evaluate cell-surface-bound,

156 The formalism is exact in that it does not involve any other

157 Thus, a statistical inferential formalism is needed to avoid imposing arbitrary threshol

158 hough a full ab initio implementation of our formalism is possible in principle.

159 A readily transferable matrix formalism is presented to extract the electronic states

160 The random walk formalism is used across a wide range of applications, f

161 demonstrate that whereas the "random effect" formalism is used pervasively in psychology to model int

162 Redfield theory in the density matrix formalism is used to describe electron-phonon interactio

163 While this formalism is well established for amorphous (entropicall

164 idation state, and that the [N(3)](-)/Ru(II) formalism may be more informative.

165 e additional insights gained in the Bayesian formalism more than make up for this cost, especially in

166 Moreover, this formalism naturally leads to an algorithm to parallelize

167 ror symmetry emerges from this isobaric-spin formalism: nuclei with exchanged numbers of neutrons and

168 The formalism of adaptive dynamics reveals two evolutionary

169 Using a network-based formalism of allostery, we introduced a community-hoppin

170 the electron density distribution within the formalism of Bader's theory (AIM method) reveal that in

171 We use the formalism of chemical reaction networks as a 'programmin

172 A quantitative formalism of electrochemical surface plasmon resonance (

173 Using the formalism of hypergraphs, we identify the presence of gr

174 cal and experimental framework, based on the formalism of information theory, to quantitatively predi

175 Adopting the material-time formalism of Narayanaswamy, we determine from the dielec

176 a quantum optical experimental test of event formalism of quantum fields, a theory that attempts to p

177 s of the evolution of bonding, rooted in the formalism of quantum mechanics, but otherwise conceptual

178 In this work, we show how the abstract formalism of quantum theory can be deduced solely from t

179 The connections with the Mori-Zwanzig formalism of statistical physics are discussed, as well

180 ass of self-assembly problems, and using the formalism of stochastic thermodynamics, we derive a set

181 The flexible graph-based formalism of the CGP map can be easily generalized to st

182 e projection (FSP) based FIM, which uses the formalism of the chemical master equation to derive and

183 Using an analytical formalism of the molecular clutch model of cell adhesion

184 begin by summarizing the basic thermodynamic formalism of thermoelasticity.

185 However, the mathematical formalism of these mechanisms makes them difficult to co

186 hich cannot be modeled with the conventional formalism of transmission matrices.

187 -linear Schrodinger equation and needs a new formalism of wave kinetics, developed here.

188 This work develops formalisms of size-topology correlation that are very ge

189 matical representations (based on a discrete formalism) of biological regulatory mechanisms in a modu

190 On the basis of a recent formalism on the dynamics of metal uptake by complex bio

191 onditional Gaussian Bayesian network (CGBNs) formalism, one appropriate for predicting an outcome of

192 rst plant clock models based on the S-System formalism originally developed by Savageau for analysing

193 hese relations, in turn, are modeled using a formalism originally developed to treat electron and oth

194 cal modeling and employing the Fokker-Planck formalism, our mathematical analysis suggests that incre

195 ctrode and a redox couple, the Butler-Volmer formalism predicts that the operative heterogeneous rate

196 Several formalisms propose that a representation of noisy eviden

197 mulations based on the Poisson-Nernst-Planck formalism provide details of the observation.

198 Here we build on the mathematical formalism provided by QIT to formulate the quantum H-the

199 This flexible formalism provides an accessible approach for narrowing

200 ; (3) clarifying the significance of the FEP formalism related to entropy minimization, Bayesian infe

201 orrectly predicted by a simple thermodynamic formalism relating the oxidation potentials and pKa valu

202 combinations with the sum-over-states (SOS) formalism revealed that the enhancement is due to the st

203 This modified formalism should be taken into account when designing ma

204 ad approximation and the acoustic multilayer formalism (sometimes termed Voigt-model).

205 The developed formalism stresses the importance of characterizing nons

206 hes have been widely used for reaction-based formalisms such as SBML.

207 Furthermore, RImmPort supports open formalisms, such as CDISC standards on the open source b

208 We can accurately model them by a new formalism, taking into account both the gravity changes

209 ons based on the local-density-approximation formalism, taking into account Coulomb interaction U (LD

210 cal signal, we introduce here a mathematical formalism that (i) accounts for intrinsic changes that i

211 American Chemical Society, provided a simple formalism that allowed investigators to understand fluor

212 different functional phases of the cycle, a formalism that allows the model to be directly compared

213 Here, we develop a theoretical formalism that can accommodate diverse stimuli and behav

214 Here we introduce a formalism that can generate optimizers automatically by

215 f allostery in the context of a quantitative formalism that can reconcile biochemical and biophysical

216 r monomeric alpha-synuclein using a Bayesian formalism that combines data from NMR chemical shifts, R

217 This paper summarizes the scientific formalism that created modern neurology, demonstrates ho

218 s are commonly analyzed using a site binding formalism that includes a parameter, the Hill coefficien

219 HSM we try to propose a hybrid system based formalism that is still sufficiently powerful for descri

220 tric formulation of elasticity, we develop a formalism that maps the two-dimensional (2D) elastic pro

221 Using a recently introduced formalism that represents heterogeneous local Ca2+ using

222 The kinetic formalism that we discuss can describe the cotranslation

223 rectify this using an angular effective mass formalism that we have developed.

224 ified via the parametrized diastolic filling formalism that yields relaxation/viscoelastic (c) and pa

225 mbinatorial cis-regulation and in generating formalisms that accurately predict gene expression from

226 f all possible states and towards rule-based formalisms that allow for implicit model specification,

227 uct better predictive models, with different formalisms, that will be useful in engineering, syntheti

228 According to the MIRD committee formalism, the mean absorbed dose to a target is given b

229 By using self-consistent six-band k.p band formalism, the nitride active region consisting of 30 A

230 emented for the three popular types of model formalisms: the LSODA algorithm for ODE integration, the

231 addition, the potential utility of the same formalism to (1)H-(1)H cross-relaxation rates is conside

232 guities inherent in transferring the quantum formalism to a less determined realm.

233 We apply the resulting formalism to a problem from molecular dynamics and show

234 ned with a self-consistent Poisson-Boltzmann formalism to account for ion charge screening in solutio

235 choice of an appropriate clear thermodynamic formalism to be used by an interdisciplinary scientific

236 ticle, we use a multiscale nonlinear optical formalism to bring theoretical evidence that anisotropy

237 We apply this formalism to compute the optimal parameters of low-thres

238 We present the proposed formalism to construct coarse-grained potential models f

239 ggest the application of a wave-optics based formalism to correct the deviations.

240 This paper also provides a general formalism to derive 1D analytic solutions for Dirichlet/

241 y provide sufficiently powerful mathematical formalism to describe biological processes of interest a

242 Here we present a kinetic formalism to describe cotranslational folding and predic

243 r dynamics simulations, and we propose a new formalism to describe edge functional groups.

244 suggests the adequacy of the Stokes-Einstein formalism to describe RAPs.

245 Here, we use the kinetic theory formalism to describe the dependence of the FRET efficie

246 In this paper we develop a new formalism to detect the equilibrium regimes of an unbran

247 a computational methodology and mathematical formalism to encode and curate the morphological outcome

248 Applying our formalism to Escherichia coli chemotaxis, we find that i

249 Here we present a mean-field formalism to estimate the packing density of axisymmetri

250 ng molecular dynamics with a master equation formalism to explain the steady drop in CO diffusion rat

251 an accurate and truly predictive theoretical formalism to explore this remote possibility when intens

252 al groups and thus it provides an ecological formalism to help interpret the present surge in microbi

253 We also apply this formalism to identify genes with spatial patterns of exp

254 A possible formalism to model such a scenario comes from node/edge

255 We apply our formalism to models of the inositol trisphosphate recept

256 ng on the input noise, and we generalize our formalism to multiple outputs (or inputs).

257 the Keldysh nonequilibrium Green's function formalism to obtain insight into the quantum dynamics of

258 algorithm that extends the Flory-Stockmayer formalism to overcome the limitations of analytic theori

259 We demonstrate the application of this formalism to paramagnetic relaxation enhancement vectors

260 -wise fitting approach, using a mathematical formalism to phenomenologically describe local calcium t

261 estable extension of the quantum probability formalism to psychophysical measures, such as detectabil

262 onal groups, but at present we do not have a formalism to quantify optimal coverage of chemical desig

263 The mathematical formalism to quantitatively describe the phenomena is al

264 Here we develop a theoretical formalism to show that a three-dimensional topological i

265 We use the product operator formalism to show that this oscillatory behavior arises

266 We propose a graph-theoretical formalism to study generic circuit quantum electrodynami

267 sity functional theory (DFT) is the standard formalism to study the electronic structure of matter at

268 entalists, applications of the Butler-Volmer formalism to systems that are more properly described us

269 We extend here this formalism to the case of the Abeta40 peptide, a 40-resid

270 nal protocol applying the binding polynomial formalism to the constant pH molecular dynamics (CpHMD)

271 dients, we extend the classic Hodgkin-Huxley formalism to uncover a unification of neuronal membrane

272 riment are harnessing the power of landscape formalisms to describe quantitatively the mechanics of f

273 In this work, we combine a logic-based formalism, to describe all the possible regulatory struc

274 rediction is derived by the Two-State-Vector-Formalism (TSVF) for a particle superposed over three bo

275 The statistical formalism underlying our approach facilitates supervisin

276 One of the earliest formalisms used for modeling is a Boolean network, altho

277 Jones formalism was extended to nonlinear optics and was used

278 Thus, the formalism we develop is suitable for describing and pred

279 Using the generating functions formalism, we analytically solve all the models in the l

280 Using this formalism, we analyze 15 empirical fitness landscapes of

281 By employing deep learning formalism, we are able to accurately predict the populat

282 By means of the past quantum state formalism, we demonstrate that outcomes of measurements

283 By adopting a hidden-dynamical-systems formalism, we expressed parameter estimation as an infer

284 Using a Fokker-Planck formalism, we find no evidence for a feedback mechanism

285 Utilizing the matched molecular pair formalism, we have analyzed patterns of compound promisc

286 oying a plane-wave density functional theory formalism, we investigate the dielectric response of hig

287 operative transition following heteropolymer formalism, whereas secondary structure formation takes p

288 um entropy principle to derive a tensor-free formalism which allows for direct, dynamic analysis of R

289 This formalism, which can also be extended to the flowing ins

290 puters' utility for the Consistent Histories formalism, which has previously been employed to study q

291 he structures are estimated using a Bayesian formalism, which provides measures of uncertainty in the

292 ons by combining the standard quasi-chemical formalism with a detailed-balance description that is ap

293 otein dipole Langevin dipole semimacroscopic formalism with its linear response approximation version

294 species in solution were computed using both formalisms with the Oldham-Zoski approximation.

295 This formalism, with its consequent reinforcement and/or inte

296 ely shows the equivalence of two statistical formalisms without saying anything about causality.

297 ed PC12 cells) in light of the heterogeneous formalism yielded independent estimates for the associat

298 This formalism yields a wealth of biological results, includi

299 he RP equation with CNT based on the Kramers formalism yields an analytical expression for the cavita

300 The best fit of H(c2)(T) to the WHH formalism yields negligible values for the Maki paramete