ライフサイエンスコーパス: complex system

1 of multiple timescales in the evolution of a complex system.

2 nd indirect interactions in a representative complex system.

3 ly represent the structure of a multilayered complex system.

4 changes of whole protein forms <30 kDa in a complex system.

5 or clinical feature will adequately define a complex system.

6 to reconstruct the full internal state of a complex system.

7 ion to describe the emergent properties of a complex system.

8 t 254 nm to demonstrate the methodology on a complex system.

9 organization and function of this apparently complex system.

10 ut not limited to the study of the lung as a complex system.

11 initio calculations intractable for large or complex systems.

12 ivers is a difficult endeavor in such highly complex systems.

13 manipulate alternative pathway activation in complex systems.

14 cal significance of genomic heterogeneity in complex systems.

15 principle for measuring diversity in large, complex systems.

16 al test-beds for theoretical descriptions of complex systems.

17 uncovered signatures of the organization of complex systems.

18 insights into the function of interconnected complex systems.

19 ion potential of nanomaghemite for metals in complex systems.

20 owing down as a strategy applicable to other complex systems.

21 y hindered by the reliance on chloride-based complex systems.

22 be potentially adapted to various real-world complex systems.

23 motif or be increasingly constrained in more complex systems.

24 standing regulatory mechanisms in biological complex systems.

25 ng toward the investigation of more and more complex systems.

26 nctional features do not define the state of complex systems.

27 systematic inaccuracies when applied to more complex systems.

28 nding and controlling collective dynamics in complex systems.

29 lity to identify novel regulatory regions in complex systems.

30 ing will impact the creation of functions in complex systems.

31 ilar Zn sorption processes may occur in more complex systems.

32 aningful regularities in the organization of complex systems.

33 llustrate important, universal properties of complex systems.

34 ar motions, enabling studies of increasingly complex systems.

35 ependent nature of the taxonomies describing complex systems.

36 terogeneity in supercooled liquids and other complex systems.

37 to be very useful in modeling the action of complex systems.

38 her biological or manmade spatially embedded complex systems.

39 can elucidate resilience and shifts in other complex systems.

40 nd interactions of these often frustratingly complex systems.

41 states ("regime shifts") in a wide range of complex systems.

42 gs offer tools to explore control in various complex systems.

43 f orthogonality for developing sophisticated complex systems.

44 on the evolution of adaptation mechanisms in complex systems.

45 ew insights into the dynamics and control of complex systems.

46 ventions should be heavy tailed, as in other complex systems.

47 ion functions of non-Markovian or nonergodic complex systems.

48 our affects population processes in socially complex systems.

49 entions should be viewed as interventions in complex systems.

50 cally seen in both theoretical and empirical complex systems.

51 nown structures, remains for compositionally complex systems.

52 widely applicable to the modelling of other complex systems.

53 e power of 3D localization for understanding complex systems.

54 obal understanding of three-dimensional (3D) complex systems.

55 hology-to enable their integration into more complex systems.

56 arly warning for impending tipping points in complex systems.

57 ccessible paradigm to study the evolution of complex systems.

58 eful in differentiating metabolite routes in complex systems.

59 community formation and module structures in complex systems.

60 hat emerge from cross-disciplinary models of complex systems.

61 to accurately reconstruct TRNs in biological complex systems.

62 toms, molecules, semiconductor materials and complex systems.

63 s is essential for understanding dynamics of complex systems.

64 sical approach and show its applicability to complex systems.

65 hanges occur, is a defining property of many complex systems.

66 recursors for future supramolecular actinide complexing systems.

67 for deriving some general rules and laws for complexing systems.

68 ip among nodes and the evolving process of a complex system, a Bose-Einstein hypernetwork is proposed

69 In complex systems, a critical transition is a shift in a s

70 Estimating the critical points at which complex systems abruptly flip from one state to another

71 from the perspectives of Innovation systems, Complex systems, Adaptive systems, and Political systems

72 sistent theory of dynamical perturbations in complex systems, allowing us to systematically separate

73 Brain connectomes are topologically complex systems, anatomically embedded in 3D space.

74 ults presented remain valid for an arbitrary complex system and collective phenomena if their dynamic

75 redator slowed host-virus coevolution in the complex system and that the virus' effect on the overall

76 y facilitate in depth understanding of these complex systems and enable systematic formulation of cul

77 However, its role as a module in more complex systems and in synergy with other factors remain

78 dimensionality reduction approaches to model complex systems and motivates the search for a small set

79 h is of benefit to analysts and designers of complex systems and networks.

80 for NPC studies are extendable to additional complex systems and pathways within cells.

81 is increasingly essential for understanding complex systems and processes.

82 vides an attractive approach for analysis of complex systems and some models may prove useful in syst

83 t living organisms were specific examples of complex systems and, as such, they should display charac

84 rategy, developed a novel polbeta-host-guest complex system, and determined eight crystal structures

85 olutionary changes in the configuration of a complex system, and generates intervals accordingly.

86 variables, simulation studies and models of complex systems, and sensitivity analyses of model biase

87 major advance in the description of natural complex systems, and their study has shed light on new p

88 Calls for the adoption of complex systems approaches, including agent-based modeli

89 , an index of the degree to which nodes of a complex system are organized into discrete communities,

90 A large variety of interacting complex systems are characterized by interactions occurr

91 Complex systems are characterized by many independent co

92 Although many complex systems are constructed using conventional organ

93 solated networks, while the vast majority of complex systems are formed by multilayer networks.

94 Most complex systems are intrinsically dynamic in nature.

95 ective on the synthesis of materials.Natural complex systems are often constructed by sequential asse

96 Many natural, complex systems are remarkably stable thanks to an absen

97 provocative paper challenging whether 'large complex systems [are] stable' various hypotheses have be

98 ethods provide essential tools to study this complex system as a whole and to identify key elements t

99 m currently pervading scientific research on complex systems, as understanding and modeling the struc

100 m of aphid-ant relationships by showcasing a complex system at the evolutionary interface between coo

101 ure of the catalytic active site embedded in complex systems at the atomic level is critical to devel

102 oaches enable the global characterization of complex systems at the DNA, RNA and protein levels.

103 cient modelling of X-ray-driven processes in complex systems at ultrahigh intensities is feasible.

104 t of the field's accomplishments in building complex systems based on microbial transcription and met

105 Spin models are used in many studies of complex systems because they exhibit rich macroscopic be

106 s, especially those that are associated with complex systems, become more constrained as they unfold,

107 ophysiology that results from disrupting the complex systems biology between the kidney, skeleton, an

108 to elucidate the molecular dynamics of these complex systems both inside the cell and in solutions wi

109 Simulation models can evaluate such complex systems but have not been applied in this contex

110 Biofilms are recognized as complex systems but their physical properties have been

111 sophisticated analysis and sampling of these complex systems by culture-independent methods.

112 ds restrict the design and assembly of truly complex systems by placing unnecessary emphasis on compl

113 A complex system can be represented and analyzed as a netw

114 Causal interactions within complex systems can be analyzed at multiple spatial and

115 dologies suggest that the controllability of complex systems can be predicted solely from the graph o

116 The analysis and optimization of complex systems can be reduced to mathematical problems

117 Many complex systems can be represented as networks consistin

118 ynamic features hidden in the time series of complex systems can be uncovered if we analyze them in a

119 Complex systems cannot be understood in terms of the beh

120 stem whose simple parts self-organize into a complex system capable of directing the multistep transf

121 e discovery of two distinct control modes in complex systems: centralized versus distributed control.

122 l submodules, using statistical mechanics of complex systems combined with a fitness-based approach i

123 A complex system comprised of regulatory factors and energ

124 The Crab is a complex system consisting of a central pulsar, a diffuse

125 offers a new path toward the organization of complex systems consisting of disparate materials.

126 th of small-molecule metabolite profiling in complex systems continue to advance rapidly, along with

127 lay between the topology and the dynamics of complex systems continues to elude us.

128 cators of natural transformation systems are complex systems critical for the uptake of free DNA and

129 The development of a complex system depends on the self-coordinated action of

130 ry gland and could be used as part of a more complex system describing amino acid metabolism in the w

131 Brain is an immensely complex system displaying dynamic and heterogeneous meta

132 gative appraisal or reappraisal styles; that complex systems do not always change in linear fashion;

133 ogical systems are frequently categorized as complex systems due to their capabilities of generating

134 a promises to provide access to increasingly complex systems, especially semiconductor nanoparticles,

135 being indirect, noncoordinated divergence of complex systems evolving in isolation.

136 ions are generally easier to manipulate than complex systems exhibiting a large number of subtle inte

137 solution to an inverse problem in physics of complex systems favors the application of network latent

138 Saccharomyces cerevisiae has a complex system for switching the mating type of haploid

139 Thus, the Igh locus has evolved a complex system for the regulation of V(D)J rearrangement

140 etic fields with optical fields that require complex systems for frequency control and stabilization.

141 ethod to infer the microscopic dynamics of a complex system from observations of its response to exte

142 Their rhythms are generated by complex systems, generally involving interlocked regulat

143 These complex systems generate response dynamics that are ofte

144 utility of ES-DMA-APM by studying two model complex systems (gold nanoparticle-bovine serum albumin

145 The understanding of complex systems has become a central issue because such

146 The understanding of cascading failures in complex systems has been hindered by the lack of realist

147 The study of complex systems has provided a useful approach for the e

148 The simulation of complex systems has received increasing attention as a u

149 Efficient complex systems have a modular structure, but modularity

150 Many complex systems have been found to exhibit critical tran

151 and state parameters of a multi-dimensional complex system, helping us derive effective one-dimensio

152 latform has been tested with several protein complex systems (homooligomers, a heterooligomer, and a

153 Biological agents are the most complex systems humans have to model and predict.

154 earch suggests that the mammalian brain is a complex system, implying that damage to even a single fu

155 imate and abundant life is arguably the most complex system in the known universe.

156 ucts, thus permitting access to functionally complex systems in a single flask without the need for f

157 The same idea of representing complex systems in different resolutions in both time an

158 d regulation of social species, and adaptive complex systems in general.

159 Complex networks can model a wide range of complex systems in nature and society, and many algorith

160 damental tool for understanding and modeling complex systems in physics, biology, neuroscience, engin

161 number of instabilities are ubiquitous among complex systems in science and engineering, including cl

162 d to provide a helpful tool for the study of complex systems in synthetic chemistry.

163 omputational models can provide insight into complex systems in which multiple inputs determine discr

164 parent heterogeneity may be a feature of the complex systems in which such interventions operate.

165 incorporating noisy observational data from complex systems including non-Gaussian features.

166 o play a major role in modeling of even more complex systems, including cells and collections of cell

167 ablished tool for studying the robustness of complex systems, including modelling the effect of loss

168 ngly common approach to studying dynamics of complex systems, including supercooled liquids.

169 e nature of network theory: the mapping of a complex system into an abstract geometry for easier anal

170 Although a more nuanced understanding of the complex systems involved in the conduct, writing, and pu

171 it-solvent molecular dynamics simulations of complex systems involving RNA.

172 A quantitative description of a complex system is inherently limited by our ability to e

173 zation, but extracting that knowledge from a complex system is often challenging.

174 A powerful way to deal with a complex system is to build a coarse-grained model capabl

175 The evolution of a dynamic complex system is typically represented as a sequence of

176 Our ability to control complex systems is a fundamental challenge of contempora

177 Controlling complex systems is a fundamental challenge of network sc

178 Control of these complex systems is a grand challenge, for example, in mi

179 Dynamics of complex systems is often driven by large and intricate n

180 ification of directed dynamical influence in complex systems is relevant to significant problems of c

181 between the CD1 and major histocompatibility complex systems is that all humans express nearly identi

182 ructural information at the atomic level for complex systems is uniquely important for deeper and gen

183 The brain is a paradigmatic example of a complex system: its functionality emerges as a global pr

184 knowledge needed to understand and manage a complex system, knowledge coproduction approaches offer

185 s a powerful tool for both understanding the complex system-level properties of the highly coordinate

186 esholds are important for generating various complex systems-level behaviors, including bistability a

187 elements can be field programmed to deliver complex, system-level functionalities.

188 Microbial metabolism involves complex, system-level processes implemented via the orch

189 ry is essential to the development of highly complex systems like the neocortex.

190 ithout challenges, agent-based modeling (and complex systems methods broadly) represent a promising n

191 e interbrain level, the mutually interacting complex systems model may also be applied to study the d

192 Experience with complex systems more primitive than the brain teaches im

193 Using a new modelling approach for complex systems, namely the agent-based modelling (ABM)

194 he encapsulation of labile compounds in more complex systems needs to be carefully studied and adapte

195 Due to the plasticity of this highly complex system, new aspects continue to be discovered.

196 taining the existence of hidden objects in a complex system, objects that cannot be observed from the

197 of acute inflammation, we now know that this complex system of approximately 50 endogenous chemokine

198 is when parents are learning to navigate the complex system of autism services.

199 Recently the study of the complex system of connections in neural systems, i.e. th

200 s a unique opportunity to directly address a complex system of exposures and health outcomes in the c

201 Purinergic signaling is a highly complex system of extracellular communication involved i

202 eruse of health-care services occur within a complex system of health-care production, with a multipl

203 on level of free cholesterol, when tested on complex system of human serum.

204 ring metazoan development is controlled by a complex system of interactions between transcription fac

205 Our brain is a complex system of interconnected regions spontaneously o

206 In a complex system of interrelated reactions, the heart conv

207 view of early imitation as the product of a complex system of language, cognitive, social, and motor

208 hemical genetic approaches to understand the complex system of microbial metabolism.

209 Mitochondrial dynamics are regulated by a complex system of proteins representing the mitochondria

210 find the most accurate representation of the complex system of PT/BRI and identify key variables for

211 with carefully controlled agroforestry and a complex system of water retention and redistribution.

212 ta-driven simulations can be applied to more complex systems of collective cell movement without prio

213 For realistic complex systems of small sizes, this law breaks down whe

214 GREEN BIOREFINERIES [GBR's] are complex systems of sustainable, environment- and resourc

215 Recent studies on the controllability of complex systems offer a powerful mathematical framework

216 obably also societal, political and economic complex systems on a shorter time scale and lower cost t

217 In complex systems, parameters characterizing the pathways,

218 ehaviours that are expected or observed in a complex system, providing a baseline upon which sensitiv

219 has enabled us to achieve new insights into complex systems ranging from coagulation to therapeutic

220 ts regulation would shed light on many other complex systems relevant to biological and medical resea

221 , yet the precise nature of dynamics in this complex system remains elusive.

222 Incomplete understanding of these complex systems remains an obstacle to progress in biote

223 nificance, delineating filopodia function in complex systems remains challenging and is particularly

224 mical system is important in a wide range of complex systems research.

225 Many complex systems reveal a small-world topology, which all

226 rgy and Infectious Disease (NIAID) workshop 'Complex Systems Science, Modeling and Immunity' and subs

227 n terms of some of the key dynamic traits of complex systems: self-organization, modularity and struc

228 Cross-disciplinary approaches to complex system structures and changes, such as dynamical

229 in stability (BS) is a universal concept for complex systems studies, which focuses on the volume of

230 In evolving complex systems such as air traffic and social organisat

231 versatility of the TERS approach toward more complex systems such as biological membranes or energy c

232 tool for the exploration of the dynamics of complex systems such as biomolecules, liquids, and glass

233 Many real world complex systems such as critical infrastructure networks

234 merged as a principle technique for studying complex systems such as intrinsically disordered protein

235 oninvasive characterization of heterogeneous complex systems such as paintings.

236 of the three pathogens was demonstrated for complex systems such as the Arabidopsis thaliana plant a

237 versally used to describe a large variety of complex systems such as the brain or the Internet.

238 sess the susceptibilities of spatio-temporal complex systems such as the Earth's climate to volcanic

239 do not naturally reproduce the hallmarks of complex systems such as the scale-free degree distributi

240 n takes place in various types of real-world complex systems such as urban traffic, social services i

241 erstanding quantum phase transitions in more complex systems, such as cold atoms and strongly correla

242 However, in complex systems, such as financial systems, correlations

243 een competing species are used to model many complex systems, such as in genetics, evolutionary biolo

244 and has resulted in its application to many complex systems, such as social networks, traffic flow n

245 dynamic interactions within other chemically complex systems, such as those found in counterfeit or i

246 ions that satisfy requirements in demanding, complex systems, such as wireless, skin-compatible elect

247 These results highlight an original and complex system targeting the host immunoglobulins, playi

248 the eukaryotic cytoskeleton is an even more complex system than previously considered.

249 The city is a complex system that evolves through its inherent social

250 macromolecules assemble and organize into a complex system that responds to forces.

251 This work advances the aim of engineering complex systems that achieve specific human-designed goa

252 tant controls) and seamlessly generalises to complex systems that are subject to multiple component s

253 mputation have been integrated to yield more complex systems that can both process and record informa

254 kinetically when desired are key to creating complex systems that can mimic dynamic biological system

255 cial, economic, infrastructural, and spatial complex systems that exist in similar but changing forms

256 cellular membranes, and cells have developed complex systems that exploit and defend against this vul

257 More complex systems that involve the cooperative action of t

258 In this complex system, the I centering gives rise to a 2-fold i

259 gly, only a basic understanding of the least complex system, the tetrahydrofolate-dependent aryl deme

260 The application of complex systems theory to physiology and medicine has pr

261 , the importance of multilevel selection and complex systems theory, and utopic versus dystopic scena

262 In many complex systems, there are indirect interactions between

263 As researchers try to understand ever more complex systems, there is a continual need for software

264 For more complex systems these results indicate that too long tre

265 the fundamental role observability plays in complex systems, these results offer avenues to systemat

266 ates the potential for directed reactions in complex systems to allow modification of N-H bonds that

267 Moreover, resilience of complex systems to change currently lacks clear operatio

268 draw on the theoretical insights from other complex systems, to build a framework to aid in decipher

269 s in the modelled transition energies of the complex systems under consideration.

270 state transition or "tipping point" at which complex systems undergo a sudden qualitative shift.

271 alizable to quantitative operando studies of complex systems using a wide variety of X-ray and electr

272 These results demonstrated that a complex system was formed by coupling the animals' brain

273 The formulation of such complexes system was to be induced through the assistanc

274 structure that underlies such a dynamic and complex system, we carried out mutagenic, biochemical, h

275 Our results reveal a complex system where few single ancillary parameters cha

276 ich open up the potential of charge-transfer complex system where the magnetism and optoelectronics i

277 so be applied to study the dynamics of other complex systems where scale-free cross-correlations have

278 t-mediated effects drove the dynamics in the complex system, where host-virus coevolution facilitated

279 ation is a valuable tool in the study of any complex system, where measurements are incomplete, uncer

280 avior could be used in the context of a more complex system, where released guests serve as signals t

281 reated interfacial architecture is a typical complex system, where SPR response is formed by the stoc

282 Deterministic thermodynamic models of the complex systems, which control gene expression in metazo

283 al stochastic model for mutually interacting complex systems, which suggests a physiologically motiva

284 Obtaining high-resolution information from a complex system, while maintaining the global perspective

285 al pitfalls, however, when representing this complex system with a simple, first-order model.

286 ever, recreating the function of a naturally complex system with simple modular parts can increase fr

287 rther, STXM results scale to the mm scale in complex systems with an approximate geospatial range of

288 pplied science require efficiently exploring complex systems with high dimensionality.

289 However, in complex systems with interacting oscillators such as the

290 which may be expected from investigation of complex systems with many chromophores, as opposed to av

291 s and/or metals ions in order to obtain more complex systems with new properties.

292 roblem of controlling collective dynamics in complex systems with potential applications in social, e

293 nsights into the flow dynamics in small-size complex systems with significant implications for the st

294 In complex systems with stochastic components, systems laws

295 a fundamental problem for understanding many complex systems with unknown interaction structures.

296 namics and heterogeneity of tumors (or other complex systems), with reduced reagents and time, offeri

297 networks is an effective means for analyzing complex systems, with applications in diverse areas such

298 in topological analysis of brain networks as complex systems, with researchers often using neuroimagi

299 ications of systems biology methods to study complex systems, within the context of diagnosis and mon

300 ative to understand the origin of scaling in complex systems without the recourse to multiplicative,