ライフサイエンスコーパス: dynamical

1 In this work, the spatiotemporal patterns of dynamical actin assembly accompanying the branching-indu

2 e a novel way to generate whole-brain neural dynamical activity at the millisecond scale from fMRI si

3 The receptor capsule displays dynamical adaptability features similar to those observe

4 We outline relevant tools from dynamical analysis and hierarchical modeling and argue f

5 measurement noise, pose a challenge for the dynamical analysis of these Brownian movies.

6 s that offer scope to incorporate underlying dynamical and biological processes into global carbon cy

7 iciency to be constant over time so that its dynamical and collective aspects remain poorly understoo

8 act-binary shape was preserved by the benign dynamical and collisional environment of the cold classi

9 Dynamical and collisional modeling of a recently produce

10 form uniquely enables us to characterize the dynamical and computational properties of this hardware

11 Our study outlines the dynamical and functional properties of feature-specific

12 strate the prospect of better characterising dynamical and functional regions of more challenging mac

13 and the more fundamental distinction between dynamical and representational accounts of enactivism.

14 Here we develop a dynamical approach to analyze the time evolution of RRI

15 DDA revealed significant nonlinear dynamical architecture related to auditory information p

16 We also highlight two concepts, dynamical arrest and heterotypic buffering, that are key

17 we suggest an interesting common pathway for dynamical arrest in all crystallin proteins, with potent

18 The dynamical arrest of attractive colloidal particles into

19 a(H) crystallin from dilute conditions up to dynamical arrest, combining dynamic light scattering, sm

20 Dynamical aspect of such large responses is an important

21 ally localized waves that arise from complex dynamical balances in far-from-equilibrium nonlinear sys

22 ement between the experimental and simulated dynamical behavior is found, with spiral wave chimeras e

23 develop a mechanism for this new and unusual dynamical behavior.

24 ree DNA reaction networks exhibiting complex dynamical behavior.

25 ular dynamic simulations to reveal conserved dynamical behaviors in four prokaryotic actin homologs:

26 , whose aims are to (1) predict the emergent dynamical behaviors of highly heterogeneous systems in u

27 We observe a heterogeneous dynamical behaviour where the intensity correlation func

28 ctures within gene networks that drive these dynamical behaviours, such as autoregulation or feedback

29 SmB(6) centered on the hitherto unrecognized dynamical bonding effect: the coexistence of two Sm-B bo

30 nted opportunities for close scrutinizing of dynamical cellular processes.

31 tative assessment of the stimulus dependent, dynamical cellular response.

32 ns in time-series experiments to observe the dynamical changes and a possible recovery.

33 is high for large-scale temperature signals, dynamical changes in atmospheric circulation are very un

34 to be accompanied by several structural and dynamical changes of the system, such as large-scale cor

35 This complex and highly dynamical chemical process involves assembly and disasse

36 y previous multi site approximations such as dynamical cluster approximation (DCA).

37 Our results, which span both static and dynamical community properties, demonstrate the limitati

38 was computed in n = 818 healthy people via a dynamical conditional correlation model.

39 By combining the degree of dynamical confinement with the molecular size of the pro

40 To address the structural and dynamical consequences of amino-acid attachment at 2'- o

41 decision that affects interpretation of the dynamical consequences of inducible defences.

42 Using fluid dynamical considerations and nucleation thermodynamics,

43 Our results establish the dynamical constraints on the choice of the SPG index and

44 Tunable metasurfaces enable dynamical control of the key constitutive properties of

45 ndicates a counter-intuitive organization of dynamical correlations, where functional similarity deco

46 iometric, and ultrafast pump-probe transient dynamical data demonstrate that a combination of a stron

47 h electronic spectroscopic and excited-state dynamical data, further underscoring the dramatic Fe met

48 qubit by means of strong pulses to achieve a dynamical decoupling of the qubit from its environment.

49 a: see text] pulse we can generate different dynamical decoupling sequences that preserve high fideli

50 he long memory time are usually achieved via dynamical decoupling technique involving decoupling of t

51 exible rings is not only fundamental for the dynamical description of polymer rings, but also key to

52 understand how predictions from alternative dynamical descriptions compare.

53 In particular, we introduce dynamical detrended fluctuation analysis and dynamical p

54 p of suitable theoretical approaches such as dynamical DFT techniques and the recently developed Grap

55 tional biophysics to quantify structural and dynamical differences between SCR7 isoforms that contrib

56 We analyzed the dynamical distribution of phagolysosomal pH in murine an

57 ther for reasons that are not directly fluid dynamical (e.g., to stay near surfaces where the concent

58 l increases in a warmer atmosphere; however, dynamical effects may result in more significant diversi

59 the involvement of spatially defined protein dynamical effects that further tune the donor/acceptor d

60 the successful results by a combined AI with dynamical EIT imaging results in single and multiple poi

61 structural distortions are often ascribed to dynamical electronic correlations within a universal, sy

62 f third-order complexity (for example, three dynamical electrophysical processes)(5), but there have

63 along the reaction pathway to determine the dynamical ensemble for the active state and transition s

64 Proteins are dynamical entities that undergo a plethora of conformati

65 physical tool to investigate a wide range of dynamical events spanning multiple spatial and temporal

66 These dynamical features had distinct functional roles in spee

67 These dynamical features may help to direct the cells to corre

68 However, dynamical features of integrations across a broad range

69 that VLPO lesion (model of insomnia) alters dynamical features of theta and delta rhythms, and leads

70 meter values, and makes false predictions of dynamical features such as ultrasensitivity, bistability

71 Extending these dynamical features to disease prediction, we find that a

72 ve processes underlying their mechanical and dynamical features(1).

73 nsory cortices display a suite of ubiquitous dynamical features, such as ongoing noise variability, t

74 e time-points, ignoring complex higher-order dynamical features.

75 dynamics have been invoked to explain these dynamical features.

76 We observed dynamical fermionization, where the momentum distributio

77 This approach flexibly uncovers diverse dynamical firing patterns, including pulsatile responses

78 tic effects on the phase transition owing to dynamical fluctuations of the elastic strain, which have

79 supervised learning algorithm to detect the dynamical footprints of (re-)emergence present in epidem

80 a coexistence of liquid-like and solid-like dynamical fraction at all temperatures during the transi

81 to be essential for cooperativity provide a dynamical framework with which we address the origins of

82 s and subsequent merger, possibly because of dynamical friction and collisions within the cloud or la

83 Our results provide new dynamical, functional, and ultrastructural characterizat

84 k was analysed for motifs capable of driving dynamical gene expression, including oscillations.

85 Understanding the dynamical gene regulation of cell adhesion molecules (CA

86 AS), which helps to explore the mechanism of dynamical genetic control for complex longitudinal trait

87 largely proportional to subsurface nonlinear dynamical heating (NDH) along the equatorial Pacific the

88 e the way for the examination of the role of dynamical heterogeneities in heterogeneous and solution-

89 provide compelling evidence that the extreme dynamical heterogeneity of water molecules is preserved

90 he intramonomeric disulfides triggers marked dynamical heterogeneity, interfacial wettability, and as

91 the rate of calcium clearance as well as the dynamical implications on overall blood flow.

92 nge regulation strategies are homeostatic or dynamical in response to increasing c(a), as well as evo

93 ility regions of the liquid, (ii) there is a dynamical incubation period in which the mobility of the

94 n be used to capture detailed structural and dynamical information about the molecular machinery in p

95 ein-ligand interactions is obtained, whereas dynamical information is often required for deeper under

96 We report spectral and dynamical information on ground- and excited-state vibra

97 l for obtaining site-specific structural and dynamical information on IDPs/IDRs, and recent efforts h

98 mp/soft-X-ray-probe spectra exhibit detailed dynamical information, including a time-domain signature

99 e generic, more robust, and better preserves dynamical information.

100 gns of deficiency in functions that required dynamical interaction among cortical neurons.

101 Raman spectroscopy reveals a highly dynamical lattice similar to MAPbBr(3) and consistent wi

102 cm(-1), a feature that is characteristic of dynamical lattices, high anharmonicity, and dissipative

103 This work reports a dynamical Markov state model of CLC-2 "fast" (pore) gati

104 ow dualities can enhance the symmetries of a dynamical matrix (or Hamiltonian), enabling the design o

105 ce of the correspondence we establish to the dynamical MCC solution concept when the underlying evolu

106 st optical spectroscopy and state-of-the-art dynamical mean-field theory to show the importance of th

107 d difficult to interpret, and the underlying dynamical mechanisms are still largely unknown.

108 ctron cryo-tomography imaging, we reveal the dynamical mechanisms by which these lattices self-assemb

109 it is generally difficult to understand its dynamical mechanisms of action.

110 We shed light on new dynamical mechanisms responsible for altered RS-FC in ep

111 and computational modeling suggest identical dynamical mechanisms responsible for desirable qualitati

112 However, the dynamical mechanisms underlying these changes are still

113 tissues often display pronounced spatial and dynamical metabolic heterogeneity.

114 We illustrate the application of a dynamical methodology to the bending movements of shoots

115 We examine a nonreciprocally coupled dynamical model of a mixture of two diffusing species.

116 This dynamical model promises to increase our quantitative un

117 ely used conceptual framework via a stylized dynamical model.

118 mization principles using a simple two-state dynamical model.

119 Here, we use single-cell tracking and dynamical modeling to develop and validate a revised mod

120 entify coherent groups of organoids and (iv) dynamical modeling using point distribution models to ex

121 along the different directions using several dynamical models and find that hydrodynamic correlations

122 First, we used dynamical models of antibiotic resistance to predict the

123 Dynamical models show that the high eccentricity is most

124 riability, whereas population ecologists use dynamical models that incorporate physical indicators as

125 ay to achieve effective HMI is by developing dynamical models utilizing dynamical motor primitives (D

126 which is comparable to the skill of current dynamical models.

127 be easily generalized to other open quantum dynamical models.

128 ork of DNA and proteins whose characteristic dynamical modes facilitate compaction and rearrangement

129 We observe two dynamical modes for the helix.

130 atinum layer depends on the chirality of the dynamical modes of the antiferromagnet, which is selecti

131 provide a means of imbuing a reversible and dynamical modulation of the phase transformation.

132 ugh not structurally modular, is composed of dynamical modules driving different aspects of whole-net

133 This suggests that common neural dynamical motifs may underlie movement of arm and speech

134 is by developing dynamical models utilizing dynamical motor primitives (DMPs) of human multiagent co

135 troduce a theoretical framework modeling the dynamical mutual coupling between the neuronal and neuro

136 The growth rate of the artworks, the dynamical network of social interactions, and the intera

137 roach, but also characterizes and quantifies dynamical network properties for measuring node importan

138 y of V (m) Modeling shows that estimation of dynamical network properties from neuronal inputs is mos

139 cessary for modeling and controlling complex dynamical networks (CDNs) that exhibit long-term memory.

140 We use evolutionary game theory and dynamical networks to demonstrate how the specificity an

141 or optimal driven node selection for complex dynamical networks with long-term memory and by leveragi

142 The large-scale organization of dynamical neural activity across cortex emerges through

143 These results provide new insights into the dynamical neural processes that underline motor control

144 n used widely to investigate the presence of dynamical nonlinearities, an essential ingredient of det

145 suffer from too-weak NDH and too-weak linear dynamical ocean-atmosphere coupling.

146 copic flexural vibrations of graphene induce dynamical optical phonon softening.

147 used as synthetic protocells that mimic the dynamical organization of membrane-free organelles in li

148 on of cortical dynamics resulting in altered dynamical parameters of theta- and delta-bursts and sign

149 dynamical detrended fluctuation analysis and dynamical partial autocorrelation functions, which are a

150 , cluster and model differences among unique dynamical paths that define diverse final shapes, thus e

151 i) dimensionality reduction to differentiate dynamical paths, (iii) time series clustering to identif

152 osing their incidence energy by traversing a dynamical pathway to equilibrium.

153 y enabling the exploration of how brain-wide dynamical patterns give rise to complex behavioural stat

154 cs is sufficient to reproduce many nonlinear dynamical patterns observed in spreading and crawling ce

155 e hypothesis that perturbations in nonlinear dynamical patterns of HRV predict increased GC severity.

156 tudy emphasizes the importance of adopting a dynamical perspective on inhibitory mechanisms and provi

157 system allows us to probe the dependence of dynamical phase transitions on system size, initial stat

158 These observations can be linked to similar dynamical phases in related systems, including the Josep

159 tism, and report the observation of distinct dynamical phases of matter in this system.

160 systems also offer the opportunity to study dynamical phases of matter that are precluded from exist

161 on models, enabling us to bound the range of dynamical phenomena associated with hosts, based on thei

162 Related dynamical phenomena can be proposed to predict how P450s

163 Our analysis unites dynamical phenomena that occur in settings as diverse as

164 ce it can provide detailed information about dynamical photochemical processes with ultrafast resolut

165 of this photocycle provide a nonequilibrium dynamical picture of a possible mechanism for the format

166 or 3D space and time coherent imaging of the dynamical plasmonic phenomena on the nanofemto scale.

167 Affinity maturation is a complex dynamical process allowing the immune system to generate

168 ranslation that is capable of simulating the dynamical process of in vivo protein synthesis in a prok

169 tance for protein regulation, the underlying dynamical process of ligand (un)binding at one site, res

170 irect quantitative measurements of nanoscale dynamical processes associated with structural relaxatio

171 attosecond durations) to study photoinduced dynamical processes in atoms, molecules, nanostructures,

172 ay between three well-characterized internal dynamical processes in cytoskeletal bundles: filament as

173 on a model-free approach describing the main dynamical processes in the tissues and assessing the amp

174 Ocean-atmospheric dynamical processes influence the wave characteristics,

175 Here we report a study of the dynamical processes of interstitials in a 2D colloidal c

176 Yet very little is known about the detailed dynamical processes of these defects.

177 ns these thylakoid membranes undergo various dynamical processes that could be coupled to their energ

178 allowed for unprecedented insights into the dynamical processes within individual cells.

179 g an opportunity to elucidate the underlying dynamical processes.

180 graphs are underrepresented, suggesting that dynamical properties affect their prevalence, and thus t

181 Key dynamical properties are revealed at different timescale

182 Functional, structural, and dynamical properties of DeCLIC paralleled those of sTeLI

183 To study dynamical properties of elemental homeostasis, we apply

184 the identification of TFs which regulate the dynamical properties of human gene expression.

185 se results suggests that many structural and dynamical properties of local cortical networks are simp

186 s.SIGNIFICANCE STATEMENT Many structural and dynamical properties of local cortical networks are ubiq

187 thesized that many ubiquitous structural and dynamical properties of local cortical networks result f

188 tic transients to noninvasively estimate the dynamical properties of multiple functional regions alon

189 ue for rapidly fingerprinting structural and dynamical properties of proteins.

190 elucidating the microscopic description and dynamical properties of quantum materials.

191 stics of gas and dust clouds but display the dynamical properties of stellar-mass objects.

192 the role of single junction switching in the dynamical properties of the neuromorphic network.

193 the simulations is related to the collective dynamical properties of the original physical system tha

194 nd this allows us to explicitly describe the dynamical properties of the system.

195 We focus mainly on the dynamical properties responsible for a protein's ability

196 tremendous variability in their material and dynamical properties.

197 rdingly, the symmetry of ordered states is a dynamical property in active matter.

198 current injections (i.e., phasic firing), a dynamical property that can enhance the reliability and

199 he potential computational capabilities that dynamical quantum simulators do: We argue that practical

200 Analysis of dynamical quorum sensing in several cellular systems wit

201 ayers of signal integration could expand the dynamical range of ratio-sensing.

202 al sequences represent an ideal and flexible dynamical regime for enabling downstream areas to read o

203 that the neocortical alternations reflect a dynamical regime in which a stable active state is inter

204 eural activity will deviate from its current dynamical regime to one in which there are significant s

205 terize the transitions between the different dynamical regimes -from the initial inviscid dynamics th

206 Different dynamical regimes can generate the enhancer-promoter con

207 hese networks influences transitions between dynamical regimes of virus diversification and host cont

208 r with a large set of simulated prototypical dynamical regimes, revealed that regimes with higher seq

209 dentify spatially resolved, catalysis-linked dynamical regions of enzymes.

210 mate and pollution on, and characterised the dynamical regulation strategy of, leaf gas exchange at m

211 an play an important role in determining the dynamical repertoire of neural circuits.

212 terized by velocity oscillations caused by a dynamical resistance whose origin is still unclear.

213 Although observational support for a dynamical response linking volcanic cooling to El Nino r

214 s sensors the time awareness that allows for dynamical responses and hence the better control of the

215 tions quantitatively describe the multiscale dynamical results from microscopic nanometer cage diffus

216 We show that clonal competition creates a dynamical 'rich-get-richer' effect: fitness advantages t

217 This work provides insight into the dynamical richness of complex systems with weak nonlinea

218 ic to adapt to many environments and reveals dynamical scaling behavior in the microscale mechanical

219 These results show how dynamical scaling laws of phylogenetic trees on long tim

220 reconstruction algorithms based on rigorous dynamical scattering theories, the thin-film-based X-ray

221 This work reveals the dynamical scenario of secondary phase evolution, helping

222 e present a quantitative model involving the dynamical screening of the Coulomb interaction and show

223 that produces this modular structure through dynamical self-organization in the MEC.

224 nd the M1-M2 antagonism and investigated the dynamical shaping of macrophage phenotypes within the M1

225 nd likely deterministic because the observed dynamical signatures (DSB mobility) can be explained sol

226 that neutrophil swarming experiments exhibit dynamical signatures consistent with the proposed signal

227 of the genome has been extensively studied, dynamical signatures of processes such as transcription

228 d phase transitions, but with structural and dynamical signatures that map onto known regions of wate

229 fusive and ATP-dependent and exhibits unique dynamical signatures, different from those of undamaged

230 Our approach is based on dynamical simulations of multispecies trophic communitie

231 encies, reaction paths, isotope effects, and dynamical simulations.

232 ories have been proposed for explaining this dynamical slowdown, the origin remains to date elusive.

233 ept based solely on fixed points, MCCs are a dynamical solution concept based on the Markov chain for

234 tellar formation environment, through either dynamical star-star interactions or external photoevapor

235 Importantly, depending on the dynamical state of the system, these broadband effects c

236 s activity requires near-critical dynamics-a dynamical state that emerges from networks with balanced

237 which no pairwise binaries exist) as the key dynamical state that ergodicizes a non-hierarchical trip

238 e encouraging for future applications of the dynamical statistical analysis in exercise physiology an

239 Our work holds promise for dynamical strain engineering and dynamical strain-mediat

240 promise for dynamical strain engineering and dynamical strain-mediated control of light-matter intera

241 setup allowing for the determination of the dynamical structure factor in different architectures, i

242 The dynamical structure factor is one of the experimental qu

243 ocal Hamiltonians are precisely inherited by dynamical structure factors and, hence, offer in the sam

244 that practically accessible variants of the dynamical structure factors are bounded-error quantum po

245 uld allow for the observation of features of dynamical structure factors of correlated quantum matter

246 ing affects the resilience of cooperation in dynamical structured communities.

247 oherent oceanic mesoscale eddies with unique dynamical structures have great impacts on ocean transpo

248 We applied dynamical system and Information Theory-based analyses t

249 uation where the variables of the underlying dynamical system are non-separable and weakly or moderat

250 main idea is that the dynamics of a chaotic dynamical system consisting of multiple time-series can

251 veloping and analyzing a [Formula: see text] dynamical system describing flow through a single pore t

252 odeled by a new three-dimensional autonomous dynamical system exhibiting very particular properties s

253 We derive a new nonlinear dynamical system for microbial dynamics, termed "composi

254 the structure and parameters of a nonlinear dynamical system from data.

255 nd autonomy assumptions ensure that the same dynamical system maps between all time points, not arbit

256 aradoxically, it is not clear how a neuronal dynamical system running in the fixed human anatomical c

257 approximate the single-cell time series as a dynamical system suffer from too restrictive assumptions

258 l interpretations considering the brain as a dynamical system suggest that prior to a seizure, record

259 ts are asymptotic behaviors of a much richer dynamical system.

260 s, form a stochastically activated nonlinear dynamical system.

261 t relevant directed catalytic cycle within a dynamical system.

262 somal acidification process was a stochastic dynamical system.

263 ery complicated, high-dimensional, nonlinear dynamical system.

264 ased on complex networks of weakly connected dynamical systems (Hindmarsh-Rose neurons or Kuramoto os

265 hed control subjects, we implemented a novel dynamical systems approach to infer patterns of regional

266 nto globally asymptotically stable monotonic dynamical systems based on Fowler-Nordheim quantum tunne

267 are adapted to their environments and random dynamical systems exposed to the same environment.

268 framework for implementing arbitrary linear dynamical systems in networks of integrate-and-fire neur

269 connected world, the resilience of networked dynamical systems is important in the fields of ecology,

270 Here we tested whether a dynamical systems model based on this hypothesis reprodu

271 imated in the fMRI data using a multivariate dynamical systems model.

272 Through dynamical systems modeling, we identified the underlying

273 Here, we start with a mathematical primer on dynamical systems theory and analytical tools necessary

274 Our research highlights how tools from dynamical systems theory may inform our understanding of

275 Concepts from dynamical systems theory, including multi-stability, osc

276 Dynamical systems thinking may provide useful tools to d

277 application of a phenomological analysis of dynamical systems underlying elemental metabolism, and e

278 ch algorithm rooted in the ergodic theory of dynamical systems which can accommodate complex geometri

279 n formalism, Conley's Fundamental Theorem of Dynamical Systems, and the core ingredients of dynamical

280 ods to associate the qualitative features of dynamical systems, as conveyed by 'bifurcation diagrams'

281 hes that have deep mathematical connections: dynamical systems, Bayesian inference and reinforcement

282 tively novel behaviours in non-linear neural dynamical systems, by virtue of a phenomenon mathematica

283 connection with Koopman operator theory for dynamical systems, KAF yields statistically optimal pred

284 ve recently shown potential for the study of dynamical systems.

285 ction of extreme events in complex turbulent dynamical systems.

286 larger class of phenomena in transitions of dynamical systems.

287 quantify this condensation spanning several dynamical systems.

288 ignal preceding many critical transitions in dynamical systems.

289 ies resulting from successful application of dynamical systems.

290 namical Systems, and the core ingredients of dynamical systems: fixed points, recurrent sets, periodi

291 the stability of this state by performing a dynamical test varying the intensity of the active forci

292 lity in working memory by tracing individual dynamical trajectories in a limited time scale, where th

293 The emergence of the new fast mode and the dynamical transitions are in marked departure from the g

294 ively decreased, the salty solution exhibits dynamical transitions from three modes to two modes and

295 atterns and emphasizes their crucial role in dynamical tropical-extratropical couplings.

296 is related to the coupling strength between dynamical units (modifying the level of synchronization)

297 odel requires incorporation of an unobserved dynamical variable and is biologically interpretable.

298 More recently, dynamical versions of divisive normalization have been s

299 This dynamical viewpoint gives predictive power that is beyon

300 effects of stimulation manifest at different dynamical working points.