ライフサイエンスコーパス: complex system

1 ctions of multiple small GTPases in a single complex system.

2 es) is of critical importance to influence a complex system.

3 lar level, operons are classic examples of a complex system.

4 -the natural enemies themselves constitute a complex system.

5 dels reveals the challenges of modeling this complex system.

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

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

8 nd indirect interactions in a representative complex system.

9 se population of neurons resulting in a more complex system.

10 and identified a wetting transition for this complex system.

11 es that are characteristic of nonequilibrium complex systems.

12 derstanding of hydrogen transfer dynamics in complex systems.

13 Activity cascades are found in many complex systems.

14 media, but have rarely been studied in other complex systems.

15 gely due to its apparent ubiquity in various complex systems.

16 e the identification of large proteoforms in complex systems.

17 nderstanding of higher-order interactions in complex systems.

18 llular development and morphogenesis in more complex systems.

19 shapes the composition and function of these complex systems.

20 acids, peptides, and proteins, especially in complex systems.

21 y distinguish and quantify source impacts in complex systems.

22 plications for the structure and dynamics of complex systems.

23 y external triggers and internal dynamics in complex systems.

24 to other ultrafast photoinduced reactions in complex systems.

25 narity typically associated with macroscopic complex systems.

26 led characterization is necessary with these complex systems.

27 initio calculations intractable for large or complex systems.

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

29 ery, prediction, and control of increasingly complex systems.

30 lity to identify novel regulatory regions in complex systems.

31 can elucidate resilience and shifts in other complex systems.

32 nown structures, remains for compositionally complex systems.

33 widely applicable to the modelling of other complex systems.

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

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

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

37 arly warning for impending tipping points in complex systems.

38 ccessible paradigm to study the evolution of complex systems.

39 eful in differentiating metabolite routes in complex systems.

40 community formation and module structures in complex systems.

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

42 to accurately reconstruct TRNs in biological complex systems.

43 toms, molecules, semiconductor materials and complex systems.

44 s is essential for understanding dynamics of complex systems.

45 sical approach and show its applicability to complex systems.

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

47 d computational method to handle arbitrarily complex systems.

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

49 manipulate alternative pathway activation in complex systems.

50 cal significance of genomic heterogeneity in complex systems.

51 principle for measuring diversity in large, complex systems.

52 uncovered signatures of the organization of complex systems.

53 insights into the function of interconnected complex systems.

54 be the information-theoretical properties of complex systems.

55 ion potential of nanomaghemite for metals in complex systems.

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

57 o study individual RNA subpopulations within complex systems.

58 likely to be pervasive across all realistic complex systems.

59 most potent analysis tools for the study of complex systems.

60 iological phenomena or abstract mechanics of complex systems.

61 iodic variation of atomic structure in these complex systems.

62 dynamics of evolution and potentially other complex systems.

63 ed assessment of specific neuron subtypes in complex systems.

64 response rates (gamma) of randomly generated complex systems.

65 tand risks and benefits of treatments within complex systems.

66 copy to probe the composition or dynamics of complex systems.

67 be a considerably enhanced understanding of complex systems.

68 s required for better understanding of these complex systems.

69 the latent and elusive structure of dynamic complex systems.

70 rful yet straightforward approach to probing complex systems.

71 in detecting significant state variations of complex systems.

72 ployment in harsh environments or chemically complex systems.

73 ing order in the zoo of strongly interacting complex systems.

74 standing the vulnerability and robustness of complex systems.

75 to evaluate the trade-offs inherent in these complex systems.

76 erstand how this contributes biologically to complex systems.

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

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

79 le, which describes the observation that, in complex systems, a minority of the components (or inputs

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

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

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

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

84 sights into the dynamics and interactions of complex systems and in recent years, several modelling a

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

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

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

88 is increasingly essential for understanding complex systems and processes.

89 ple interdependent network model of aging in complex systems and show that it exhibits cascading fail

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

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

92 Models are simplifications of complex systems, and often simulate specific processes a

93 construct the fundamental structure of these complex systems, and simultaneously highlight their most

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

95 ial environments, but guidance on applying a complex systems approach to inform qualitative research

96 A "complex systems approach" has been advocated to account

97 level have been investigated, while the more complex, systems approach remains unexplored.

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

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

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

101 Most complex systems are intrinsically dynamic in nature.

102 Complex systems are made of parts that together perform

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

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

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

106 tive picture depicting correlated regions in complex systems as densely connected clusters.

107 discovery of rare phenomena in nonlinear and complex systems as well as new types of biomedical instr

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

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

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

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

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

113 can be used to perform Bayesian analysis of complex systems biology models.

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

115 Here we present complex systems built of achiral molecules that show fou

116 ructural studies where specific regions of a complex system can be highlighted, and others rendered i

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

118 ity, we show that highly correlated sites in complex systems can be inherently disconnected.

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

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

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

122 ed in vitro and in vivo for the poly ionomer complex system compared to PEG-PLL(-g-Ce6)-PLA/Dox due t

123 developed a novel pH-sensitive poly ionomer complex system composed of PEG-PLL(-g-Ce6) [Chlorin e6 g

124 A complex system comprised of regulatory factors and energ

125 All reported some utilization of complex systems concepts in the analysis of qualitative

126 study authors reporting their utilization of complex systems concepts, and subjective judgment from t

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

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

129 Moreover, mice in the complex system displayed more behaviours associated with

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

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

132 the foundation for a clear interpretation of complex systems during the increasingly popular in situ

133 fined for describing universality classes of complex systems, each characterized by a specific state

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

135 However, mice in the complex system established these clean and dirty sites i

136 Many complex systems exhibit large fluctuations both across s

137 Many complex systems experience damage accumulation, which le

138 ial, temporal, or spatiotemporal patterns in complex systems far from equilibrium.

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

140 ving been underestimated in the synthesis of complex systems for supramolecular chemistry.

141 ich dance communication truly matters amid a complex system full of redundancy can now be identified.

142 The stability of a complex system generally decreases with increasing syste

143 These complex systems generate response dynamics that are ofte

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

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

146 Efficient complex systems have a modular structure, but modularity

147 out time, operational laws and concepts from complex systems have been employed to quantitatively mod

148 atorial optimization problems over large and complex systems have many applications in social network

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

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

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

152 the present study is to assess the retromer complex system in DS.

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

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

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

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

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

158 Given the ubiquity of complex systems in the biosphere, understanding the evol

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

160 especially important for stability in highly complex systems, in which the probability of stability w

161 al side effects of Gd-lip were found using a complex system including general biomarkers of toxicity,

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

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

164 We also exploit this phenomenon in complex systems, including multiphase droplets, three-di

165 In 14 evaluations, the consideration of complex systems influenced intervention design, evaluati

166 rds on the patient interview; (2) effects of complex systems integration on e-prescribing; and (3) us

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

168 conclude that dysregulation of the retromer complex system is an early event in the development of t

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

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

171 topology linking the constituent units of a complex system is usually seen as a prerequisite for the

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

173 Imaging these complex systems is challenging because it requires high

174 simple method to monitor lipid oxidation in complex systems is essential to limit lipid oxidation du

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

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

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

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

179 The brain is possibly the most complex system known to mankind, and its complexity has

180 e of a copper-bis(oxazoline)-NaBARF catalyst complex system leads to formation of the major thiopyran

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

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

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

184 emerging as a powerful method to study these complex systems, most notably in combination with molecu

185 graph model corresponding to two real-world complex systems, namely (i) the chromosome interactions

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

187 nce metrics for studies of even larger, more complex systems, namely, membrane protein complexes and

188 State monitoring of the complex system needs a large number of sensors.

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

190 lately been increased interest in describing complex systems not merely as single networks but rather

191 exity in the transposable element biology of complex systems not previously observed.

192 lopment and highlight for the first time the complex system of canal closure and reopening.

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

194 athology conceptualizes mental disorder as a complex system of contextualized dynamic processes that

195 and adds two new players to the increasingly complex system of guard cell regulation.

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

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

198 Haemostasis is governed by a highly complex system of interacting proteins.

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

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

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

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

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

204 on periods because it is the first step in a complex system of reactions that leads to disinfectant l

205 Our results suggest a complex system of sink and source limitations to tree gr

206 ng information between spiking neurons via a complex system of synaptic connections.

207 tal implementation of SQUICH in a controlled complex system of ~262,000 oligonucleotides already redu

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

209 ics and systems biology is to understand how complex systems of factors assemble into pathways and st

210 oughout eukaryotic evolution of increasingly complex systems of such traffic required the acquisition

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

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

213 ical modeling of the MR signal based on more complex systems or provide multimodal approaches to bett

214 Additionally, like any model of a complex system, our model relies on simplifying assumpti

215 arch field that has transformed the study of complex systems over the last 2 decades.

216 t utilize qualitative methods that involve a complex systems perspective and proposes a framework for

217 study found no consensus on what bringing a complex systems perspective to public health process eva

218 that seek to assess changes over time from a complex systems perspective.

219 in water supplies was developed based on the complex system phenomena of skewed size abundance (decre

220 We conducted a systematic search to identify complex system process evaluations that involve qualitat

221 ive and proposes a framework for qualitative complex system process evaluations.

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

223 ral protein complex and ligand-bound protein complex systems ranging from 53 to 336 kDa.

224 grated mechanistic model for how these three complex systems relate, limiting our ability to understa

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

226 ore, quantifying the entropy production in a complex system requires detailed information about its d

227 Risk assessment for this complex system requires understanding the relationships

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

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

230 uced water, the low removal efficiencies and complex system setups are not desirable.

231 odels (HMMs) can facilitate inferences about complex system state dynamics that might otherwise be in

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

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

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

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

236 and multifractality exist in many real-world complex systems such as brain, genetic, geoscience, and

237 technique that allows for the simulation of complex systems such as consortia of mixed bacterial spe

238 way for future integrative studies of larger complex systems such as membrane proteins embedded in na

239 Imaging nano-objects in complex systems such as nanocomposites using time-of-fli

240 oninvasive characterization of heterogeneous complex systems such as paintings.

241 nerated, although notably some are from very complex systems such as soil and sediment.

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

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

244 ave enabled valuable insights, especially in complex systems such as the mouse embryo.

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

246 o dissect and evaluate cell heterogeneity in complex systems such as tumors.

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

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

249 ts and paves the way for SE(R)RS analysis in complex systems, such as protein-rich bio-solutions wher

250 hnique's suitability for characterizing more complex systems, such as rat brains ex vivo, was also ev

251 an architecture to advance understanding of complex systems, such as the brain.SIGNIFICANCE STATEMEN

252 d, there has yet to be a method to represent complex systems, such as the ternary microstructures, wh

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

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

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

256 (or future) links between two entities in a complex system that are not already connected.

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

258 uations of the human heart beat constitute a complex system that has been studied mostly under restin

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

260 ta analysis and pattern recognition tools to complex systems that achieve superhuman performance on v

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

262 We describe how the failure to consider the complex systems that characterize diverse real-world con

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

264 creates a new set of tools for studying the complex systems that form the heart of analytical chemis

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

266 questions in the study of three intertwined complex systems: the brain, human behavior, and symptoms

267 function is critical in the understanding of complex systems, their dynamics and their behavior.

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

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

270 lying biological mechanisms involved in such complex system, there is need of predicting biological r

271 In many complex systems, there are indirect interactions between

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

273 ernel (SimKern) concept using four synthetic complex systems-three biologically inspired models and o

274 opulation of epithelial cells functions as a complex system to orchestrate the response to virus infe

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

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

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

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

279 Roots form highly complex systems varying in growth direction and branchin

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

281 To deal with such complex system, we additionally formulate a multiscale a

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

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

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

285 More complex systems, where multiple product structures self-

286 data or data of multiple configurations of a complex system with large number of variables) and retur

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

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

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

290 l perspective, since gene circuit models are complex systems with many parameters.

291 metries include grooves, rails, or beams and complex systems with multiple air-liquid interfaces.

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

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

294 strategies for promoting longevity in aging complex systems with potential applications in therapeut

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

296 vides insight into the dynamical richness of complex systems with weak nonlinearities and local inter

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

298 Group 4 spiders had the most complex systems, with large laminae, medullae formed fro

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

300 ulated system complexity, the largest stable complex systems would be unstable if not for variation i