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

4 nse curves and create periodic states out of chaos.

5 limit cycle) predator-prey system generates chaos.

6 lex paper-based systems to expensive digital chaos.

7 s and some highly complex dynamics including chaos.

8 es, that irregular EAD behavior is dynamical chaos.

9 g search for quantum signatures of classical chaos.

10 for dynamical entanglement as a signature of chaos.

11 ns, which undergo a subsequent transition to chaos.

12 ents the nervous system from descending into chaos.

13 ality enhancement can lead to periodicity or chaos.

14 evolution can either be towards stability or chaos.

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

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

17 equilibrium but can include oscillations and chaos.

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

19 tterns bifurcate to states of spatiotemporal chaos.

20 y imply an underlying deterministic model or chaos.

21 ce of period doubling bifurcations preceding chaos.

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

23 ss growth, generating nonlinear dynamics and chaos.

24 shown the possibility of communication with chaos.

25 tem where the message was recovered from the chaos.

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

27 rovide convincing evidence of transitions to chaos.

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

29 nduce bifurcations on the route to molecular chaos.

30 ongly suggest the existence of deterministic chaos.

31 along with distinct transitional routes into chaos.

32 ansmission rates, resulting in deterministic chaos.

33 these nonequilibrium dynamics to the edge of chaos.

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

35 le solution behaviour, quasi-periodicity and chaos.

36 also organized to a large extent by secular chaos.

37 lve chaotically, driven primarily by secular chaos.

38 fluid transformations rather than enhancing chaos.

39 emphasize the sonographic findings found in CHAOS.

40 o understand patient factors associated with chaos.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

58 Chaos and oscillations continue to capture the interest

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

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

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

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

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

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

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

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

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

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

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

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

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

72 at ventricular fibrillation is deterministic chaos arising from quasiperiodicity.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

94 freely available at http://dialign.gobics.de/chaos-dialign-submission.

95 The CHAOS/DIALIGN software is freely available at http://dia

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

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

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

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

100 The karyotypic chaos exhibited by human epithelial cancers complicates

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

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

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

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

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

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

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

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

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

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

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

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

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

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

115 Chaos has revolutionized the field of nonlinear science

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

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

118 1 in CHAOS, and 18.1% versus 8.7%, P<0.02 in CHAOS II).

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

142 Temporal chaos introduces spatial heterogeneity in terms of gaps

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

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

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

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

147 Spatiotemporal chaos is best characterized statistically, and methods f

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

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

150 Because chaos is inherently a dynamical phenomenon, special sign

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

170 Case-chaos methodology identified the outbreak vehicle 3 out

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

195 As chaos quartile increased, patients exhibited more nonadh

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

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

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

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

200 Life chaos screenings could identify those at risk for nonadh

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

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

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

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

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

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

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

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

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

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

211 o the diverse morphologies and topography of chaos terrains.

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

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

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

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

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

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

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

219 ncludes the use of Kolmogorov complexity and Chaos Theory.

220 delling techniques, potentially derived from chaos theory.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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