ライフサイエンスコーパス: mathematically

1 yet to be quantified empirically or modeled mathematically.

2 as been well studied both experimentally and mathematically.

3 ationally expensive and difficult to analyse mathematically.

4 late to other analyses both conceptually and mathematically.

5 are monitored systematically and deconvolved mathematically.

6 ed a simplified matK gene expression network mathematically.

7 and could be modeled both statistically and mathematically.

8 data to model individual acquisition curves mathematically.

9 shown to be bistable both experimentally and mathematically.

10 xG), and S(MaxG_root), which we demonstrated mathematically.

11 and different origin samples can be compared mathematically.

12 We mathematically account for the temporal response of the

13 oice and exchange that is neurally detailed, mathematically accurate, and behaviorally relevant.

14 The best level of predictability (99.6%) was mathematically achieved when severe centrilobular NIA an

15 Here, we observe and model mathematically an unexpected fundamental mechanism by wh

16 -peptide association within the membrane are mathematically analogous to the adsorption discussed her

17 e patterning of haemocyte movements, we have mathematically analysed and simulated their contact repu

18 We address this question by mathematically analyzing the nonlinear dynamics of learn

19 Additionally, we suggest several methods for mathematically analyzing these data to best utilize the

20 , so that the entire forest can be described mathematically and behaves structurally and functionally

21 e model for steady-state solutions to find a mathematically and biologically relevant stable steady-s

22 iations on this morphology have been modeled mathematically and computationally but the developmental

23 Here, we show mathematically and empirically that cell-type-specific m

24 Here, we analysed seizure dynamics mathematically and established a taxonomy of seizures ba

25 by anaerobic ethylbenzene hydroxylation both mathematically and experimentally, develops alternative

26 We show, both mathematically and experimentally, that the single nucle

27 We examined, mathematically and graphically, the relationship of PaO2

28 rify this question, we modelled this process mathematically and performed extensive deterministic and

29 We solve the kinetic model mathematically and use it to analyze kinetic data from f

30 due to anemia is prevalent, can be corrected mathematically, and correction uncovers occult hypoglyce

31 We verify our analysis mathematically, and show it reproduces (a) the time-depe

32 We formalized the sushi belt model mathematically, and show that it can achieve arbitrarily

33 show that inclusion of processes represented mathematically as density-dependent regulation of either

34 erials, and how materials can be represented mathematically as genomes, describes fitness landscapes

35 Historically, stylized and mathematically based models have been used for establish

36 design and construction can be derived from mathematically based structures.

37 Mathematically, based on non-singular transformation, we

38 se-generating and analysis equations matched mathematically, bias in some parameters arose when sampl

39 unconstrained parameters and can be analyzed mathematically both at neuronal and cognitive levels.

40 Stomata have long been modeled mathematically, but until now, no systems analysis of a

41 g a Pt-Ir/H(2)O/DCE boundary that is defined mathematically by a line around the surface of the wire.

42 The dynamics of the system is described mathematically by a target-mediated drug disposition mod

43 We address the problem mathematically by adopting the framework of the phenomen

44 by cooperative interactions and is described mathematically by the slope parameter or Hill coefficien

45 and, if possible, their results are combined mathematically by using a process known as meta-analysis

46 We formally define multiplexing, mathematically characterise which systems can multiplex

47 To mathematically characterize the organization of inputs w

48 First, we seek to mathematically characterize the quality of the profile b

49 Identifying and mathematically characterizing these algorithms has led t

50 (TCGA) and in-house patient databases can be mathematically classified into high miR-21/low Sox2 (Cla

51 ould brain signals be spatially selected and mathematically combined to ensure that decoding reflects

52 enged due to the use of highly-parameterized mathematically complex structures to capture the release

53 ure, which has long been sought and has been mathematically computed and known to exist in the resear

54 he conservativeness of our approach has been mathematically confirmed in this study.

55 ional approach to dissipative systems allows mathematically consistent treatment of the bio-ions Na(+

56 R(2) = 0.94-0.99), which were observed to be mathematically consistent with classic DLVO theory.

57 intuition about this system can be gained by mathematically constructing a single gene with effective

58 antifying the effect size of cis-eQTLs and a mathematically convenient approach for systematic modeli

59 any other basic population models, makes the mathematically convenient assumption that populations ar

60 such regressions by studying artificial but mathematically convenient fitness landscapes.

61 es a composite fluorescent contour, which is mathematically converted to a sequence-specific fluoresc

62 may lead to invalid results even if they are mathematically correct.

63 r and the local sample polarizability can be mathematically correlated, enabling quantitative analysi

64 ents in our ability to characterize the data mathematically could enable much more powerful statistic

65 Na(+), K(+), Rb(+), or Cs(+) counterions, we mathematically decompose the scattering profiles into co

66 Recently, we resolved individual CnClm by mathematically deconvolving soft ionization high-resolut

67 e entropic measures are nonadditive, and are mathematically deduced from a series of natural axioms.

68 We mathematically define a higher-order GSVD (HO GSVD) for

69 metabolism of E.coli into elementary modes (mathematically defined biochemical pathways) and assessi

70 Here we mathematically demonstrate how partitioning errors arise

71 Here we mathematically demonstrate how stochastic partitioning c

72 Here we mathematically demonstrate how two identical and indepen

73 r the capacity for multistationarity, and we mathematically demonstrate that shuttling confers flexib

74 We mathematically demonstrate that T6SS-mediated killing sh

75 ch as the brain, amplitude and frequency are mathematically dependent.

76 The combined dataset was used to mathematically derive a 3D quantitative map of frequency

77 We mathematically derive an observer structure for cells gr

78 We mathematically derive the expected statistics for any se

79 ptic plasticity termed the "Convallis rule", mathematically derived from a principle of unsupervised

80 We demonstrate that FRVs can be mathematically derived from coast down coefficients in t

81 We introduce here the use of a portfolio of mathematically derived immittance functions and related

82 The mathematically derived risk score model proposed by the

83 we developed a chemomechanical growth law to mathematically describe growth of the neuroepithelium.

84 p (EcCrp, also CAP) and DNA were analyzed to mathematically describe, and make human-readable, the re

85 dynamical systems, by virtue of a phenomenon mathematically described as bifurcation.

86 ubiquitous in nature and technology, and are mathematically described by the incompressible Navier-St

87 ween retina and primary visual cortex can be mathematically described by the log-polar transform.

88 The extraction kinetics was mathematically described using the first order kinetic m

89 Reaction progress experiments may be mathematically designed to elucidate catalytic rate laws

90 The purpose of this study is to mathematically determine local and regional patterns of

91 n solution with the concentrations that were mathematically determined from the measured in the gas-p

92 that survived the double interrogation were mathematically different but schematically identical and

93 Models involved are mathematically difficult and computationally challenging

94 This mathematically diminishes the surface plasmon resonance

95 es of a gene in a population of cells can be mathematically dissected into two contributing component

96 erlapping in a chromatographic separation by mathematically dissecting the NMR spectra obtained from

97 Recent studies have used four mathematically distinct definitions of genetic interacti

98 al identifications necessary to move primary mathematically driven LC-EC biomarker discovery into bio

99 rrence of a cross-frequency arrangement that mathematically enables coupling between alpha and theta

100 , and it was presumed that these methods are mathematically equatable.

101 arch results from these methods could not be mathematically equated to the USDA Starch Research metho

102 he initial bolus and ion current models give mathematically equivalent predictions for length control

103 reated with a classical (non quantum) model, mathematically equivalent to a Nernst distribution for o

104 We developed a motor task that is mathematically equivalent to choosing between lotteries

105 The parameter is mathematically equivalent to FST and we show how existin

106 These models are mathematically equivalent to generalized linear models o

107 These models are mathematically equivalent to statistical physics models

108 Our collaborative EM algorithm is mathematically equivalent to the original EM algorithm c

109 e vertical shifts of neighbouring chains-are mathematically equivalent to the phase angles of rotatin

110 adeoff between probability and numerosity is mathematically equivalent to the relationship between en

111 information within experimental units and is mathematically equivalent to the treatment level in a ne

112 In addition, we use a binding isotherm to mathematically estimate the loading capacity of the dend

113 inciple, implement any behaviour that can be mathematically expressed as such.

114 hydrodynamic volume of the attached entity, mathematically expressed by its intrinsic viscosity [eta

115 Mathematically, extending from 2D to 3D requires higher

116 With these data, we also mathematically extrapolate the number of HIV-1 particles

117 By mathematically fitting the data, important biological pa

118 is has led to a reliance on metrics that are mathematically flawed and insufficiently diverse to acco

119 Here, we analyze this scenario mathematically, focusing on the evolution of a Dobzhansk

120 Correcting mathematically for the dose dependence of induction/reso

121 of different cognitive processes that can be mathematically formalised as dissociable computational m

122 We mathematically formulate the problem as one of optimally

123 states of polarization (SOP) has always been mathematically formulated by a series of linear transfor

124 We mathematically formulated our goal as a constrained opti

125 ped a physics model for the TIMES signal and mathematically formulated the problem to attain physical

126 Mathematically, Fourier ptychographic (FP) reconstructio

127 e initialized using empirically generated or mathematically generated pure component spectra.

128 eraction profiles, which we biologically and mathematically grouped into five positive and five negat

129 believe is the first such a design that has mathematically guaranteed properties of stability and au

130 result and computational efficiency are both mathematically guaranteed.

131 first show experimentally, and then explain mathematically, how even in the simplest signaling syste

132 tative approach to modeling behavior that is mathematically identical across species, and accruing ev

133 for Saito's 3-step mechanism is shown to be mathematically identical to the earlier, 1997 2-step F-W

134 a nonlinear classical-field equation that is mathematically identical to the Landau model and provide

135 imple "parsimonious" rabbit AP model that is mathematically identifiable (i.e., not over parameterize

136 from 72 immunogen-parasite combinations, we mathematically identified 13 amino acid polymorphic site

137 on-electron resonance (DEER) experiment is a mathematically ill-posed problem.

138 artial differential equation, and that it is mathematically impossible to do this using inclusive fit

139 We use OMPBioM to assess OMP biogenesis mathematically in a global manner.

140 We have accounted for this mathematically in determining the concentration dispersi

141 varying-effectiveness (VE) model is studied mathematically in the context of HCV infection.

142 perty because it means that the inference is mathematically incorrect and formally illogical, and the

143 This measure is mathematically independent from expression level and all

144 A mathematically independent phase-amplitude model reprodu

145 CD4 T-cell responses to vaccinia virus were mathematically indistinguishable for antigen breadth and

146 This hybrid behavior leads to a mathematically infinite number of crossover points in th

147 Mathematically integrating the mutation model with backg

148 disease map development is the generation of mathematically interpretable representations to predict

149 or 11 generic consumer strategies that group mathematically into predators, parasites, and micropreda

150 etrospectively or prospectively according to mathematically intractable genetic models, and to assist

151 n infusion pump into the hepatic artery were mathematically investigated.

152 Modelling this mathematically is problematic since strains within a fun

153 Mathematically it explains how myofibers are bundled in

154 f whether such actuarial methods are in fact mathematically justified, even under the most idealized

155 certain successive steps together to yield a mathematically less complex representation that is able

156 As models become more complex and mathematically less tractable, the need for an integrate

157 le to infrared radiation that can be used to mathematically model and predict selectivity trends for

158 we present an intervention-free approach to mathematically model basal ECM turnover during embryogen

159 bfemtoliter nuclear volumes and used this to mathematically model DSB response kinetics of MDC1 and o

160 the detailed inhibition kinetics required to mathematically model HCV RNA decline have been lacking.

161 atic functions and differential equations to mathematically model molecular and cellular interactions

162 ues, including a novel MP grammars method to mathematically model putative regulatory interactions am

163 Here, we mathematically model the coevolution of sex-specific hel

164 In this work we mathematically model the dynamics of CML response to com

165 Efforts to mathematically model the LuxR-LuxI system are providing

166 tions of these phototactic cells in order to mathematically model this quasi-random motion.

167 We mathematically model this transmission by a diffusive me

168 of eukaryotic mRNA from total RNA was first mathematically modeled and then achieved using PPM in ca

169 Real-world complex systems may be mathematically modeled as graphs, revealing properties o

170 These responses can be mathematically modeled by assuming an internal state tha

171 The physical system is mathematically modeled by time-dependent Schrodinger equ

172 Here we mathematically modeled hemifusion of synthetic vesicles,

173 delta's roles in inflammatory signaling, we mathematically modeled the 4-IkappaB-containing NF-kappa

174 To address this, we mathematically modeled the effect of dedifferentiation o

175 vical cancer cells and, based on these data, mathematically modeled the proapoptotic TRAIL signaling

176 We mathematically modeled the steady-state PM distributions

177 o understand the basis for this reversal, we mathematically modeled these T(CD8+) responses and used

178 Lung injury was mathematically modeled to define the military standard 1

179 and NIK with NF-kappaB2/p100 processing, we mathematically modeled TRAF1.NIK as a coupling signaling

180 We mathematically modeled transcriptional regulation of the

181 Bacterial burden observed at 24 h was mathematically modeled using a 3-dimensional response su

182 otemporal distribution of Abeta in AD can be mathematically modeled using a logistic growth model in

183 c flow, and their shapes both evaluated, and mathematically modeled, before subsequent shell solidifi

184 displacement-weighted velocity analysis and mathematically modeling the results, we found that K40 a

185 dently of one another, this behaviour can be mathematically modelled as a random process based on the

186 We mathematically modelled stress on individual bees which

187 they traverse incarceration and release, (2) mathematically models the impact of prison-based interve

188 icated profiles recorded in field nests plus mathematically-modified profiles of similar shape but wi

189 r students may easily follow by omitting the mathematically more elaborate parts.

190 Based on our analysis, the mathematically most likely explanation for the renewed g

191 , we scanned professional mathematicians and mathematically naive subjects of equal academic standing

192 neurons on very short timescales, which are mathematically nearly independent of neuronal interactio

193 Mathematically, new loops are shown to form through a sa

194 In this paper, we mathematically operationalize a widely used conceptual f

195 evelopmental enhancers closely approximate a mathematically optimal decoding strategy.

196 Here, the bang-bang control estimates the mathematically optimal dose and duration of the interven

197 models, we develop a new methodology to find mathematically optimal schedules of light exposure and a

198 faster, and in restricted cases, provides a mathematically optimal solution.

199 ise constant protocols are compared with the mathematically optimal solutions.

200 A mathematically optimal strategy would be "square-root bi

201 unction, suffer from a clear guidance either mathematically or biologically.

202 n illustrative clinical vignette through the mathematically permissible possibilities to account for

203 Of the 216,739 mathematically possible cages for 60 < n <or= 84, just t

204 This is mathematically possible due to the existence of a unique

205 ptor responses by manipulating mixtures in a mathematically predictable manner.

206 ipulating these parameters directed cells in mathematically predictable ways; specific combinations c

207 CT image quality and radiation dose can be mathematically predicted and optimized on the basis of p

208 Our mathematically predicted cell division process will need

209 It is mathematically predicted that a highly variable surface

210 behavior: growth-defective cells exhibited a mathematically predicted transient increase in membrane

211 why our experimental results support what is mathematically predicted while previous experiments have

212 We show that AIM mathematically preserves the asymmetric nature of mainta

213 q experiments necessitate scalable, fast and mathematically principled analysis software.

214 ommunity detection in networks and develop a mathematically principled approach that combines a netwo

215 Our method is a high-performing and mathematically principled framework for learning similar

216 do is always superior to that which would be mathematically propagated assuming independent measureme

217 We mathematically prove that any embedding (that uses dot p

218 Within this framework, we mathematically prove that seeking rewards is equivalent

219 We mathematically proved the null independence of existent

220 date, only a few attempts have been made to mathematically quantify the probability of jamming, or i

221 ax, we used a machine-learning model [13] to mathematically quantify the uncertainty and surprise of

222 This approach appears to mathematically reflect the linear relation of ferritin c

223 ty and fractional coverage, were found to be mathematically related.

224 This approach, that mathematically relies on network paths of length three (

225 N, can be used and the associated dispersion mathematically removed.

226 uicides and daily duration of sunshine after mathematically removing the effects of season.

227 These regions were mathematically resolved using parallel factor analysis t

228 nger path cell and the effects of dispersion mathematically reversed without major loss of S/N.

229 DP provides a mathematically rigorous approach to prevent the risk of

230 Metabolic modelling provides a mathematically rigorous basis for system-level analysis

231 by the multidimensional parameter space in a mathematically rigorous fashion.

232 robed with single-particle tracking and is a mathematically rigorous framework that can be further ex

233 l standards and clustered chromatograms in a mathematically rigorous framework.

234 eveals many features of this transition in a mathematically rigorous manner.

235 We present here a mathematically rigorous model for conditioning inspired

236 atures, and constructs a precise, smooth and mathematically rigorous profile.

237 ave found a physical realization of the only mathematically rigorous route to a non-Fermi liquid, nam

238 activities interplay with each other can be mathematically shaped using techniques from statistical

239 We mathematically show that the velocities of all swarm mem

240 Here we mathematically show that under these conditions, biogeoc

241 Here, we mathematically show the asymptotic trajectory of tetrapl

242 ilm in a quartz tube with its shape modelled mathematically, showing good agreement between the model

243 We model this process mathematically, showing that it produces 32 equivalence

244 In particular, the more mathematically similar (less orthogonal) the molar absor

245 Mathematically similar energy functionals have been rela

246 rdependent events is ultimately reduced to a mathematically simple model, whose two parameters can be

247 out the imaged scene, despite relying on the mathematically simple processes of linear diffractive wa

248 eriority trial of LTBI treatment.Methods: We mathematically simulated a two-arm randomized clinical t

249 This temperature profile was compared with a mathematically simulated profile generated by a cold-cap

250 Mathematically speaking, bow-ties evolve when the rank o

251 ing angles, do not challenge the evidence of mathematically specific geometric structure.

252 We propose a mathematically straightforward method to infer the incid

253 Genome-scale metabolic models (GEMs) are mathematically structured knowledge bases of metabolism

254 Genome-scale metabolic models are mathematically-structured knowledge bases that can be us

255 n this paper we explore (computationally and mathematically) such situations with the goal of uncover

256 In conclusion, the proposed, mathematically supported, methodology was proven to be h

257 Do gender differences exist among the mathematically talented?

258 We show mathematically that differences between competing ParA c

259 We show mathematically that donor ability can be selected when r

260 We proved mathematically that if the variance spectrum was to deca

261 Here we demonstrate mathematically that many less well understood, larger-sc

262 We show mathematically that such arrays can distinguish between

263 from statistical physics as a tool, we show mathematically that the marine ice sheet instability gre

264 We previously showed mathematically that there is a unique minimal pathway of

265 tive form of Rho to the active form, we show mathematically that this active regulation of cellular c

266 We show mathematically that trans-pairing and active separation

267 onitor disease progression; and 2) to assess mathematically the diagnostic power of potential biomark

268 al, and measurement fluctuations, we dissect mathematically the relevant sources of fluctuations that

269 al equations, we are also able to manipulate mathematically the spatial location of the ribosomes, th

270 Specifically, we define mathematically the spectral consistency as an existence

271 Mathematically, the combined rate of formation of biomas

272 Mathematically, the dynamical process of resource alloca

273 mbe to characterize, both experimentally and mathematically, the in vivo contributions of Cdk1-mediat

274 Mathematically, the latter question amounts to identifyi

275 Mathematically, the model is described by a coupled syst

276 Mathematically, the optimal learning rule requires weigh

277 Mathematically, the sensitivity of FBA to these flux imb

278 ontains slopes larger than a critical value; mathematically they are traveling waves (shocks) that ha

279 Mathematically they require breaking of time-reversal sy

280 Mathematically this is an important example of graph opt

281 Mathematically this problem involves an underdetermined

282 Mathematically, this can be achieved if the optimally ef

283 The emergence of leak is closely mapped mathematically to the Ising model from statistical mecha

284 , we demonstrate that this model corresponds mathematically to the well-known Cahn-Hilliard equation

285 Individual assay values were combined mathematically to yield an MDDScore.

286 These results provide a mathematically tractable example of how collective pheno

287 ree distributions are reproduced in a simple mathematically tractable model introduced and analyzed i

288 These isolated flagella are a unique, mathematically tractable model system for the physics of

289 Here a suite of mathematically tractable models with nontrivial eddy dif

290 c development of simple test models that are mathematically tractable yet capture key features of ani

291 ntial growth emerges in nonlinear systems is mathematically unclear.

292 We demonstrated this approach mathematically using stochastic modeling, and applied it

293 tally (using particle image velocimetry) and mathematically (using computational fluid dynamics and a

294 We demonstrate this principle mathematically, using stochastic modeling, and experimen

295 template" patterning mechanism we observe is mathematically very different from the well-known Turing

296 Mathematically, we count the number of mapped reads on e

297 Mathematically, we describe this type of learning as a d

298 being open curves in which the knots are not mathematically well defined; knotting can only be identi

299 hin the set of SNPs under investigation in a mathematically well-controlled manner into account.

300 ther, these results show that GNM provides a mathematically well-founded unified framework for modeli