ライフサイエンスコーパス: chaos

1 r irregularity in successional trajectories (chaos).

2 y depressed in the cpSRP43-deficient mutant (chaos).

3 le solution behaviour, quasi-periodicity and chaos.

4 also organized to a large extent by secular chaos.

5 lve chaotically, driven primarily by secular chaos.

6 fluid transformations rather than enhancing chaos.

7 o understand patient factors associated with chaos.

8 03 to -1.15]) was associated with lower life chaos.

9 nse curves and create periodic states out of chaos.

10 limit cycle) predator-prey system generates chaos.

11 lex paper-based systems to expensive digital chaos.

12 s and some highly complex dynamics including chaos.

13 es, that irregular EAD behavior is dynamical chaos.

14 g search for quantum signatures of classical chaos.

15 for dynamical entanglement as a signature of chaos.

16 ns, which undergo a subsequent transition to chaos.

17 ents the nervous system from descending into chaos.

18 ality enhancement can lead to periodicity or chaos.

19 evolution can either be towards stability or chaos.

20 ed regime or at the border between order and chaos.

21 gether with a list of anchor points found by CHAOS.

22 equilibrium but can include oscillations and chaos.

23 r, such as multi-stability, oscillations and chaos.

24 stable, regular motion embedded in a sea of chaos.

25 tterns bifurcate to states of spatiotemporal chaos.

26 tidal community with dynamics at the edge of chaos.

27 y imply an underlying deterministic model or chaos.

28 ce of period doubling bifurcations preceding chaos.

29 viour in both space and time--spatiotemporal chaos.

30 ss growth, generating nonlinear dynamics and chaos.

31 ogical soft matter positioned at the edge of chaos.

32 shown the possibility of communication with chaos.

33 tem where the message was recovered from the chaos.

34 ility over time, suggesting a weaker form of chaos.

35 rovide convincing evidence of transitions to chaos.

36 , which is robust to random noise, to detect chaos.

37 nduce bifurcations on the route to molecular chaos.

38 ongly suggest the existence of deterministic chaos.

39 c responses, quasi-periodic oscillations and chaos.

40 ring, collective motion, and spatio-temporal chaos.

41 lassical systems thermalize due to dynamical chaos.

42 rce step decreases with increasing levels of chaos.

43 ch as the transition from torus breakdown to chaos.

44 along with distinct transitional routes into chaos.

45 emphasize the sonographic findings found in CHAOS.

46 ansmission rates, resulting in deterministic chaos.

47 these nonequilibrium dynamics to the edge of chaos.

48 f random scatterings, e.g., due to classical chaos.

49 at fibrillation is a form of spatio-temporal chaos, a finding that implies new therapeutic approaches

50 between macroscopic behavior and microscopic chaos, a simple far-from-equilibrium spatially extended

51 uffering from varying degrees of temperature chaos: A superior performance of quantum annealers over

52 systems, the drift term vanishes and strong chaos again leads to Brownian motion.

53 The theory shows that the chaos among the jovian planets results from the overlap

54 We recommended against using case-chaos analysis during outbreak investigations.

55 thus developed as a way of alleviating this chaos and allowing a larger role to the preferences of b

56 cent work elucidating the physics of secular chaos and applying it to Mercury and to hot Jupiters.

57 Because nonlinearity is a prerequisite for chaos and because we can detect nonlinearity more reliab

58 he 7-point checklist, the 3-point checklist, chaos and clues, and CASH (color, architecture, symmetry

59 instability including periodic oscillation, chaos and complex dynamics are predicted.

60 ation diagrams show period doubling route to chaos and crises.

61 sion identified the association between life chaos and CVD-medication nonadherence.

62 trained functional sites compared to BLASTZ, CHAOS and DIALIGN for local alignment and compared to AV

63 izes the previously developed combination of CHAOS and DIALIGN to achieve both speed and alignment ac

64 The Society believes that the chaos and dysfunction that characterize today's medical

65 linear vocal sounds, including deterministic chaos and frequency jumps.

66 e of a system displaying competition between chaos and order.

67 Chaos and oscillations continue to capture the interest

68 connect the equations of general relativity, chaos and quantum mechanics via a universal geodesic equ

69 Mathematical chaos and related concepts are used to explain and resol

70 The genomic chaos and resulting resistance to apoptosis of myeloma,

71 display chaotic advection; when this happens chaos and segregation compete with each other, giving ri

72 work unveils an important interplay between chaos and stochasticity in the energy assisted switching

73 onent suggests the onset of spatial-temporal chaos and the existence of chaotic attractors.

74 y arises as the result of a tumor's "genetic chaos" and the more contemporary cancer stem cell (CSC)

75 The author explores the nexus of 'climate chaos' and how this intersects with and exacerbates the

76 nalysis of EEG signals, non-linear dynamics (chaos), and intelligent engineered systems.

77 (ii) information theory, (iii) deterministic chaos, and (iv) application of a Gaussian equation.

78 ve controls (35.9% versus 10.2%, P<0.0001 in CHAOS, and 18.1% versus 8.7%, P<0.02 in CHAOS II).

79 exity, robust balance with SP at the edge of chaos, and improved input separability.

80 ynamical behaviors including multistability, chaos, and phase synchronisation.

81 nonlinear dynamics, including deterministic chaos, and that such cardiac chaos may be a useful physi

82 chaos in all standard bifurcation routes to chaos; and (ii) gives a relative measure of chaos intens

83 data-driven approach of arbitrary Polynomial Chaos (aPC) Expansion is then used to quantify the uncer

84 sion model coupled with arbitrary Polynomial Chaos (aPC) to assess the impact of uncertainties in the

85 on of light, all previous studies on optical chaos are based on either static imaging or spectral mea

86 at ventricular fibrillation is deterministic chaos arising from quasiperiodicity.

87 from equilibrium to quasiperiodic cycles to chaos as adult-stage recruitment rates were experimental

88 nt a universal, data-driven decomposition of chaos as an intermittently forced linear system.

89 NA genes brings order to otherwise potential chaos as it allows unambiguous communication about each

90 t the dynamics transition from shot noise to chaos as the photon rate increases and that the entropy

91 pin-glass theory that recognize 'temperature chaos' as the underlying mechanism responsible for the c

92 l patterns, such as spiral waves and spatial chaos, as a result of the reaction-diffusion dynamics th

93 ous homodyne detection, we uncover transient chaos associated with quantum trajectories.

94 The onset of chaos at discrete voltages is observed as a large increa

95 s each reported on their perceived household chaos at Time 1 (ages 14-15).

96 Both signal-to-noise and spatial chaos-based measures performed highly with a correlation

97 We find that transient chaos, besides being a physically meaningful phenomenon

98 ed regime or at the border between order and chaos but does not appear to be chaotic.

99 s to the so-called route to Shilnikov spiral chaos but gives rise to a "double spiral attractor".

100 in the classical regime the system exhibits chaos but in the corresponding quantum regime the motion

101 mbling, entanglement, ergodicity and quantum chaos (butterfly effect).

102 cancer cells in culture for the presence of chaos by comparing the micromotion of two related rat pr

103 Their findings lend order to chaos by revealing how molecularly and functionally defi

104 ting multiple steady states, oscillation, or chaos by virtue of their reaction graphs.

105 hloroplast, which encodes cpSRP54 (ffc), and chaos (cao) loci, respectively.

106 In the first study (CHAOS), cases consisted of 298 unrelated patients with p

107 and entropic characterization quantifies the chaos complexity at 60 fJ intracavity energies.

108 of these models produces period-doubling and chaos, consistent with constant pacing experiments, when

109 -dynamical control techniques, also known as chaos control, have been used with great success to cont

110 risk factors, we demonstrated that the case-chaos design yields risk estimations for which the odds

111 a novel case series method dubbed the "case-chaos" design was proposed as an alternative to case-con

112 ream and downstream bifurcations can lead to chaos; despite its simplicity, our model generates surpr

113 attributable to the underlying subthreshold chaos-deterministic chaos-rather than to a stochastic no

114 thermal (energy) diffusivity that describes chaos diffusivity.

115 nd molecular systems, as well as perhaps new chaos-driven states of ultracold matter.

116 analysis with the existing methods based on chaos, DWT, Tribonacci transformation (TT), and Fibonacc

117 We also identified increased microbial chaos early after allogeneic BMT as a potential risk fac

118 o-species ecosystem is capable of exhibiting chaos even in the absence of external environmental vari

119 urthermore, the dynamics at the threshold of chaos exhibit a self-similar behavior that is demonstrat

120 The karyotypic chaos exhibited by human epithelial cancers complicates

121 The proposed non-smooth polynomial chaos expansion (nsPCE) method is an extension of tradit

122 terest were studied by the use of polynomial chaos expansions built non-intrusively with a least-squa

123 We use spectral polynomial chaos expansions to represent statistics of the system d

124 Here we realize non-KAM chaos experimentally by exploiting the quantum propertie

125 shown that species interactions can generate chaos, field evidence of chaos in natural ecosystems is

126 xemplifying the "quasiperiodic transition to chaos" first suggested by Ruelle and Takens.

127 parameters characterizing many-body quantum chaos for a critical Fermi surface without quasiparticle

128 re results in quasi-periodicity and possible chaos for certain ranges of these variables.

129 What are the consequences of chaos for how such networks encode streams of temporal s

130 rengths and complexity entropy, a measure of chaos for spiking neural data.

131 ed to accurately characterize transitions to chaos for the Kuramoto-Sivashinsky equation.

132 al signals generated from temporal intensity chaos from external-cavity semiconductor lasers (ECSL) t

133 We use the Frequency Chaos Game Representation (FCGR) to create images from s

134 rted this alignment-free subdomain in 1990, 'Chaos Game Representation'.

135 transformer architecture with a new modified chaos game representation.

136 cell-wide gene expression through inhibiting chaos-generating motifs.

137 m to uncover quintessential architectures of chaos generation and the underlying physics.

138 Deterministic chaos has been implicated in numerous natural and man-ma

139 However, persistent deterministic chaos has never been observed, in part because sufficien

140 Chaos has revolutionized the field of nonlinear science

141 hell is insufficient to produce the observed chaos heights, and no single plume can create matrix dom

142 ht yield networks exhibiting fully developed chaos, hence producing unreliable computations.

143 Chaos, however, also motivates the assumption of ergodic

144 In the second study (CHAOS II), the cases were 249 patients with recent myoca

145 1 in CHAOS, and 18.1% versus 8.7%, P<0.02 in CHAOS II).

146 nitial conditions, the hallmark signature of chaos, implying long-term unpredictability of delta netw

147 amatic manifestation of underlying classical chaos in a quantum system.

148 faithfully tracks the onset of deterministic chaos in all standard bifurcation routes to chaos; and (

149 Attempts to detect and characterize chaos in biological systems are of considerable interest

150 merged as a powerful tool for characterizing chaos in black holes(1-4).

151 f nonlinear heart rate dynamics and possible chaos in developing human infants and its loss in brain

152 te sets of unstable periodic orbits underlie chaos in dissipative systems; accordingly, the new metho

153 surface is a particularly important route to chaos in fluid dynamics.

154 more difficult to understand spatiotemporal chaos in high-dimensional systems, despite abundant data

155 nizing system by the Green Revolution caused chaos in irrigation and devastating losses from pests.

156 ctions can generate chaos, field evidence of chaos in natural ecosystems is rare.

157 period bifurcation cascade near the onset of chaos in nonlinear systems, suggesting it is part of a l

158 phenomenon found in nature, 'spiral defect' chaos in Rayleigh-Benard convection, in which we find th

159 A conclusion is that the presence of strong chaos in recurrent networks need not exclude precise enc

160 strating numerically that the spatiotemporal chaos in several simple models is extensive (the number

161 sensitive, specific, and robust detection of chaos in short noisy data without the need for intensive

162 Here, we report the generation of dynamical chaos in silicon-based monolithic optomechanical oscilla

163 rate is greatly enhanced by the presence of chaos in the classical dynamics.

164 The transient behavior is consistent with chaos in the classical limit, while the long term evolut

165 Kolmogorov entropy to measure the degree of chaos in the system and the transfer entropy to quantify

166 on, in which we find that the spatiotemporal chaos in this state is extensive and characterized by ab

167 oordinated processes beyond the dysregulated chaos in which sepsis was once perceived.

168 , periodic islands can appear in an ocean of chaos, in a manner reminiscent of other dynamical system

169 ow-dimensional dynamics--and, in particular, chaos--in biological systems.

170 iteracy, and financial status, a 1-unit life chaos increase was associated with a 7% increase (odds r

171 based on systems' angular momentum deficit, chaos indicators, and parametrized fits to numerical int

172 imentally show that low-dimensional magnetic chaos induced by alternating spin torque can strongly in

173 shows how topology drives complex behaviour: chaos, information, and weak or strong synchronisation;

174 chaos; and (ii) gives a relative measure of chaos intensity.

175 bations by the other bodies, however, inject chaos into this otherwise stable configuration.

176 Temporal chaos introduces spatial heterogeneity in terms of gaps

177 nding the interplay of order and disorder in chaos is a central challenge in modern quantitative scie

178 CHAOS is a fast database search tool that creates a list

179 plex crystal structures suggest that quantum chaos is a good description for thermalization processes

180 On the one hand, chaos is a strong source of randomness, suggesting that

181 which an instrument designed to measure life chaos is associated with CVD-medication nonadherence.

182 Spatiotemporal chaos is best characterized statistically, and methods f

183 In classical physics, chaos is characterized by hypersensitivity of the time e

184 The way in which their interplay creates chaos is explained with instructive illustrations but wi

185 Because chaos is inherently a dynamical phenomenon, special sign

186 These models also elucidate how quantum chaos is not universally related to scrambling: We const

187 These findings suggest that cardiac chaos is prevalent in healthy heart, and a decrease in s

188 Just as secular chaos is reorganizing the solar system today, so it has

189 Congenital high airway obstruction syndrome (CHAOS) is a rare fetal anomaly characterized by obstruct

190 For example, dynamical chaos itself cannot occur in an isolated quantum system,

191 For anisotropic systems, strong chaos leads to diffusive behavior (Brownian motion with

192 havior (Brownian motion with drift) and weak chaos leads to superdiffusive behavior (Levy processes w

193 of near starvation as a war refugee, postwar chaos, life in several countries, and relative affluence

194 rogresses (according to theory) to aperiodic chaos-like behavior.

195 heart rhythm into fibrillation (a chaotic or chaos-like sequence) can proceed via several classical r

196 cal alignment algorithm that is based on the CHAOS local alignment algorithm and the LAGAN global ali

197 a sense analogous to that in which dynamical chaos makes classical thermalization possible.

198 ect populations, we show quantitatively that chaos manifests itself as a tapestry of identifiable and

199 We compared case-chaos matched odds ratios with their respective case-con

200 g deterministic chaos, and that such cardiac chaos may be a useful physiological marker for the diagn

201 Our results suggest that life chaos may be an important determinant of medication adhe

202 ent in healthy heart, and a decrease in such chaos may be indicative of CHF.

203 f a chaotic Hopf oscillator and suggest that chaos may be responsible for the high sensitivity and ra

204 e following were associated with higher life chaos: medication nonadherence (beta=1.86; 95% confidenc

205 While the proposers of the case-chaos method view it as a useful adjunct, we show that i

206 urrent work was to further evaluate the case-chaos method.

207 Case-chaos methodology identified the outbreak vehicle 3 out

208 Case-chaos methodology is a proposed alternative to case-cont

209 Case-chaos methodology missed the outbreak source 2 of 5 time

210 Using case-chaos methodology, we calculated odds ratios 1,000 times

211 ifferences, spatially variable dynamics, and chaos might also reduce or eliminate metapopulation sync

212 Thus, the comparative analysis of ch1-2 and chaos mutants provides new evidence for the flexible org

213 ons in LHCI-deficient mutants, the ch1-2 and chaos mutants were used to assess the influence of varyi

214 key role played by low-dimensional magnetic chaos near saddle equilibria in enhancement of the switc

215 ph is prone to fork collapse and topological chaos near the terminus of DNA replication.

216 d things that are always true, emerge out of chaos, not the other way around.

217 ble to experimentally modulate the degree of chaos observed in the hair bundle dynamics in vitro.

218 y to learn and remember would be lost in the chaos of daily experiential change.

219 o we begin to extract order from the elegant chaos of natural ecosystems?

220 trol underlies the nonlinearity and possible chaos of normal heart rhythms.

221 e much simpler and more predictable than the chaos of short-term weather.

222 the levels of synchrony, dimensionality, and chaos of the inferior olive code by analyzing in vivo re

223 zing its goals of bringing order to the past chaos of the MIS and GI fellowship situation.

224 lly difficult to contemplate in the chemical chaos of the prebiotic world.

225 nately, conventional methods for identifying chaos often yield equivocal results when applied to biol

226 The complex dynamics, such as chaos, often displayed by such continuous-state models h

227 ene expression from periodic oscillations to chaos on demand.

228 The influence of life chaos on medication adherence is unknown.

229 ntinuous time, without the need to introduce chaos or an exponentially growing energy.

230 planations invoke concepts such as fractals, chaos, or self-organized criticality, mainly because the

231 is found to be universally related to these chaos parameters; i.e., the relationship is independent

232 Using polynomial chaos (PC) methods, we propagate uncertainties in physic

233 dynamics are considered: nonlinear dynamics (chaos), phase transitions, and criticality.

234 rcomplexes were not formed in both ch1-2 and chaos plants.

235 shing a topological commonality between wave chaos, polymers and turbulent Bose-Einstein condensates.

236 ctivates HSF1 and thereby provokes proteomic chaos, presented as protein destabilization, aggregation

237 Just as "chaos" prevents accurate weather forecasts, so model err

238 As chaos quartile increased, patients exhibited more nonadh

239 underlying subthreshold chaos-deterministic chaos-rather than to a stochastic noise source.

240 re chaotic or stochastic, or whether cardiac chaos represents normal or abnormal behaviour.

241 In this scenario, chaos results from the interaction of multiple causally

242 mparison illuminates the connections between chaos, reversibility and predictability.

243 Life chaos screenings could identify those at risk for nonadh

244 ilarities to the quasiperiodic transition to chaos seen in fluid turbulence.

245 rker position characterized by deterministic chaos (sensitivity to initial conditions).

246 solutions alternate with periodic ones after chaos sets in, and we show the existence of a period six

247 ble to explain why features such as Conamara Chaos stand above surrounding terrain and contain matrix

248 Signatures of low-dimensional chaos such as subharmonic bifurcations have been reporte

249 By contrast, 'non-KAM' chaos switches on and off abruptly at critical values of

250 the boundary roughness and corresponding ray chaos, taking advantage of Anderson localization in angu

251 he technique, which we have called the "case-chaos" technique, appeared to be useful in this setting.

252 uasi-circular areas of ice disruption called chaos terrains are unique to Europa, and both their form

253 The data suggest that chaos terrains form above liquid water lenses perched wi

254 o the diverse morphologies and topography of chaos terrains.

255 , NTRK1 and MET exhibiting greater levels of chaos than KRAS, paxillin and EGFR.

256 s paper is a simplification of the organized chaos that constitutes the structure of the actual testi

257 her hand, recent work shows that the type of chaos that occurs in spiking networks can have a surpris

258 re symptomatic of a critical slowing down of chaos that sits at the root of our statistical understan

259 Attributable, in part, to the scene chaos that undoubtedly exists, poor triage and missed di

260 ic rings that host fully developed classical chaos, the amplitudes of PCs are of the same order of ma

261 realization of a common paradigm for quantum chaos-the quantum kicked top- and the observation direct

262 loped for nonlinear time series analysis and chaos theory to EEG data collected from 32 men who had p

263 ory, network theory, instability mechanisms, chaos theory, and catastrophe theory, offer potent model

264 The relations to chaos theory, including sensitivity to initial condition

265 delling techniques, potentially derived from chaos theory.

266 ncludes the use of Kolmogorov complexity and Chaos Theory.

267 Non-KAM chaos therefore provides a mechanism for controlling the

268 Transient chaos thus serves as a bridge for the quantum-classical

269 plexes, indicating a lack of mobile LHCII in chaos Thus, the comparative analysis of ch1-2 and chaos

270 gly driven into chaotic motion and transfers chaos to other weakly driven optical modes via a common

271 of recent techniques that take advantage of chaos to produce a narrow band laser output.

272 more evident before the conversion from VF (chaos) to a more regular arrhythmia (periodicity).

273 ing this memory loss across an integrability-chaos transition under a perturbation obeying no selecti

274 From this chaos, two principles emerged: first, the need for a sta

275 odynamics and the exponential sensitivity of chaos unconditionally protect this scheme against any po

276 uch reliable detection and quantification of chaos under severe conditions of relatively low signal-t

277 e, we show the presence of stable cycles and chaos under strong anticonformity and the presence of ne

278 r appears to correspond to a special case of chaos, uniform phase chaotic amplitude.

279 red (for example, weak localization, quantum chaos, universal conductance fluctuations), fundamental

280 The transition to chaos usually occurs by the gradual destruction of stabl

281 was to determine whether the transition from chaos (ventricular fibrillation, VF) to periodicity (ven

282 However, the lack of a definitive test of chaos vs. random noise in experimental time series has l

283 In contrast, phosphorylated LHCII in chaos was observed to be exclusively associated with PSI

284 Earlier, CHAOS was thought to be incompatible with life; however,

285 f nonlinear chemical kinetics also linked to chaos, wave propagation and Turing patterns.

286 e can detect nonlinearity more reliably than chaos, we concentrated on a series of measures that quan

287 Because IDPs lie between order and chaos, we explore the possibility that they can be model

288 here appears to be no signature of classical chaos whatsoever in the corresponding quantum system, ge

289 ifurcate to other states such as period 2 or chaos when alternans or EADs occur in pathological condi

290 The resulting genetic chaos, which has widespread effects on many genes throug

291 s confer community stability at the "edge of chaos" while creating a wide distribution of opportuniti

292 edback, it is far more difficult to suppress chaos with common input into each neuron than through in

293 e model approximations have strong intrinsic chaos with ergodic behavior.

294 Generally, these exhibit chaos with increasingly wild population fluctuations dri

295 ced and studied here that exhibits intrinsic chaos with many degrees of freedom as well as increased

296 : In this case study, we report two cases of CHAOS with one showing laryngeal atresia and the other,

297 Periodontitis can be described as chaos with the level of the host immune response determi

298 ild-type genes demonstrate varying levels of chaos, with BRAF, NTRK1 and MET exhibiting greater level

299 tained by ecologically driven spatiotemporal chaos, with no assumptions about niches or other special

300 brillation is a transition to spatiotemporal chaos, with similarities to the quasiperiodic transition