ライフサイエンスコーパス: multiscale

1 In particular, a multiscale 3D printing approach can seamlessly interweav

2 Our multiscale 3D whole-heart modeling framework integrates

3 ncreasing the retracting forces, and trapped multiscale air bubbles increasing the buoyancy and backp

4 The Community Multiscale Air Quality (CMAQ) model has the potential to

5 evel generation and emissions, the Community Multiscale Air Quality (CMAQ) model to simulate air qual

6 Using Community Multiscale Air Quality model estimated PM2.5 total and c

7 The Community Multiscale Air Quality Modeling System (CMAQ) and Downsc

8 erral region was based on modified Community Multiscale Air Quality models.

9 Mean DSC for the multiscale algorithm was 0.61 +/- 0.15 (standard deviati

10 uch changes affect communities, we performed multiscale analyses of seed dispersal networks on O'ahu,

11 Here, we employed multiscale analyses to identify and characterize type I

12 raightforward to complex and unintuitive for multiscale analysis and visualization of protein folding

13 s is here investigated through a 3D textural multiscale analysis of the vesicles contained in a MN te

14 Our multiscale analysis reveals a qualitative and underappre

15 A wavelet transform multiscale analysis shows these tumbles cause in-plane d

16 Through this multiscale analysis, synergistic mechanisms for biomass

17 ing k-nearest neighbors, kernel methods, and multiscale analysis.

18 This method enables rapid, multiscale, analysis and virtualization of large-volume,

19 scape alteration and climate change can have multiscale and interrelated effects on ecological system

20 pplied to fabricate high-performance bespoke multiscale and multidimensional architectures of functio

21 ChroMS will be an asset for multiscale and system-level studies in neuroscience and

22 Here, a multimaterial, multiscale, and multifunctional 3D printing approach is

23 subject-specific HR thresholds the RRIs show multiscale anticorrelations with both universal and indi

24 Here, we develop a multiscale approach combining numerous atomistic simulat

25 We employed a combined multiscale approach involving classical atomistic equili

26 Our multiscale approach is able to shed light on the reactio

27 The proposed multiscale approach provides a more detailed molecular c

28 This multiparametric, multiscale approach provides opportunities for studying

29 We used a multiscale approach to estimate the relationship between

30 A multiscale approach to examine effects of pollination mo

31 We employ a multiscale approach to provide the molecular mechanism o

32 This paper presents a multiscale approach to study the nonlinear vibration of

33 lesce to contribute to depression requires a multiscale approach, encompassing measures of brain stru

34 By means of a multiscale approach, we found that the cis and trans con

35 underscore the importance of replication and multiscale approaches in landscape genetics.

36 Underscoring the translational potential of multiscale approaches, the transcriptional correlates of

37 and in situ mechanical testing, we identify multiscale architectural designs within the exoskeleton

38 at simple organizing principles underlie the multiscale architecture of human structural brain networ

39 er with a flexible phase contributing to the multiscale architecture of the bacterial cellulose hydro

40 Kreibig-like broadening in a quintessential multiscale architecture: film-coupled nanoresonators, wi

41 erials: nanoparticle synthesis and assembly, multiscale assembly and patterning, and mechanical chara

42 complex system, we additionally formulate a multiscale asymptotic method for stochastic model reduct

43 provide a unified understanding of bacterial multiscale behavioral complexity in swarms.

44 hod to bridge spatial scales, we assembled a multiscale behavioral dataset of nonadherent planktonic

45 More generally, our multiscale behavioral-demographic framework demonstrates

46 the efficiency of stochastic simulations for multiscale biochemical networks.

47 essential for deciphering the complexity of multiscale biological and physical systems.

48 ties to overall cardiac function, we apply a multiscale biophysical biomechanics model of the heart t

49 nd/or acceleration, providing an extendable, multiscale, biophysical framework for understanding and

50 Our multiscale calculations reveal that injected currents ca

51 ld, quantum chemical calculations, and ONIOM multiscale calculations to study (a) how an external fie

52 of mechanistic models to disentangle complex multiscale cancer processes, such as treatment response,

53 age of the non-destructive time-efficient 3D multiscale capabilities of synchrotron Propagation-based

54 ize the complex nature of AD, we constructed multiscale causal networks on a large human AD multi-omi

55 framework is based on an on-lattice, hybrid, multiscale cellular automaton spanning three spatial dim

56 ally relevant iPSCs and be used to elucidate multiscale cellular changes (cell-cell interactions as w

57 The multiscale character of nanocomposites is crucial: nanoc

58 This multiscale characterization can serve as a starting poin

59 We present a multiscale characterization of aqueous solutions of the

60 of metal nanowire electronic devices, while multiscale characterization of the different fabrication

61 Multiscale chiral geometries and the structural versatil

62 ging of Nucleome Architectures that measures multiscale chromatin folding, copy numbers of numerous R

63 ted correlation network analysis (WGCNA) and Multiscale Clustering of Geometric Network (MEGENA), wer

64 By using a multiscale coarse-grained molecular dynamics approach, w

65 We found that multiscale coevolution analysis is significantly more bi

66 Here we characterize a consensus multiscale community organization of the functional cort

67 we present the SCOUT pipeline for automated multiscale comparative analysis of intact cerebral organ

68 We perform a multiscale comparison of the AD and HC networks in terms

69 have further implications for understanding multiscale complexity of biomineralization and show a pr

70 A multiscale computational approach integrating first-prin

71 In the present work, we employ a multiscale computational approach to decipher the phosph

72 In this study, we apply a multiscale computational framework to establish a mechan

73 Here, we employed an iterative multiscale computational modeling and quantitative exper

74 In a recent study, Liou and colleagues used multiscale computational modeling to gain mechanistic in

75 study goes all the way from resource-light, multiscale computational predictions of crucial hotspot

76 length scale, in agreement with models from multiscale computational simulations.

77 ds expanding to incorporate hierarchical and multiscale conceptions of uncertainty and to incorporate

78 It helps explain how multiscale cooperation from the community to the watersh

79 We present here a multiscale, correlative imaging procedure that achieves

80 ssion, which, despite the complexity of this multiscale correspondence, can be described by a sparse

81 using a mathematical framework combined with multiscale data gives us insight into the relative roles

82 Such integration would provide complementary multiscale data to bridge the gap between molecular and

83 A multiscale deep learning method for traumatic hemoperito

84 stic instabilities and subsequently complex, multiscale deformation patterns.

85 A multiscale description of the efficiency of THF:water pr

86 Here we develop a computable multiscale description of the ROS stress response in Esc

87 tomation-efficient synthesis of an optimized multiscale design with microstructure homogenization ena

88 In this pilot study, we show how multiscale differential dynamic microscopy (multi-DDM) c

89 nnovative module for cell detection based on multiscale directional filters and a segmentation routin

90 By measuring the multiscale distribution of the antibody-dye conjugate, t

91 odel predictions quantitatively describe the multiscale dynamical results from microscopic nanometer

92 ational, and conceptual investigation of the multiscale dynamics of social interaction.

93 isition and analysis techniques suitable for multiscale dynamics.

94 model will enable biophysical evaluation of multiscale electrophysiological signatures and computati

95 Multiscale engineering fully exploits the multi-synergy

96 mplexity of glucose dynamics, as measured by multiscale entropy (MSE) analysis, in diabetes in humans

97 ing detrended fluctuation analysis (DFA) and multiscale entropy (MSE) and linear HRV parameters were

98 Spectral power and multiscale entropy (MSE) measures show that left-hemisph

99 ing detrended fluctuation analysis (DFA) and multiscale entropy (MSE) were analyzed.

100 Nonlinear features, including multiscale entropy and recurrence quantitative analysis,

101 Using multiscale exciton modeling, we show that the dominance

102 Here, we combine multiscale experiment and simulation, high-performance c

103 Hydra expressing fluorescent proteins and a multiscale experimental and numerical approach.

104 ckle this issue with a unique combination of multiscale experimental approaches, machine-learning-ass

105 Multiscale extractions of single-cell scale outputs natu

106 Multiscale finite element analyses indicate that the hie

107 f wetland GHG emissions, and the efficacy of multiscale flux measurement to overcome challenges of we

108 These data also validate our multiscale gene networks by demonstrating how the networ

109 Based on this insight, we explore a multiscale generalization of the algorithm that is capab

110 essed sensing, we have developed a two-stage multiscale generative adversarial neural network to comp

111 Our approach, 'Multiscale Graph Correlation' (MGC), is a dependence tes

112 ems produce brilliant color displays through multiscale, hierarchical assembly of structures that com

113 erred through hierarchical assembly of their multiscale (i.e., atomic- to macroscale) architectures a

114 cal materials realize this objective through multiscale (i.e., atomic- to macroscale) mechanisms that

115 We present a multiscale imaging approach to characterize the structur

116 These studies highlight the importance of multiscale imaging of HIV-1-infected tissues and are ada

117 Here, through a multiscale imaging workflow that combines biosensor imag

118 ion on the same sample, enabling correlative multiscale imaging.

119 Employing multiscale in silico modeling, we propose switching mole

120 The proposed three-dimensional, multiscale, in-silico model of dynamically coupled angio

121 However, achieving such multiscale integration is challenging as it requires the

122 organization of animal behavior emerges from multiscale interactions between their neural and mechani

123 Herein, we found that multiscale interactions of OPACs with the dentin matrix

124 tures that characterize the contributions of multiscale intratumour heterogeneity to malignant progre

125 t differing spatial scales, which requires a multiscale investigation.

126 at offers an appealing material platform for multiscale ion regulation.

127 standing of the fragmentation processes on a multiscale level of aged polymers.

128 ystem on parallel multiparametric imaging at multiscale levels ranging from surface morphology to hyd

129 ances made over the past decade have enabled multiscale, longitudinal measurements ('snapshots') of h

130 These results characterize in a multiscale manner the dynamic nature of the mechanical e

131 We propose a statistical multiscale mapping approach to identify microscopic and

132 Taking advantage of these tunable multiscale materials warrants development of novel desig

133 ve manufacturing are enabling realization of multiscale materials with intricate spatially varying mi

134 his end, we present, to our knowledge, a new multiscale mathematical model of arterial contractility

135 tter understand this relationship, we used a multiscale mathematical model that integrates data from

136 In this study we created and validated a multiscale mathematical model to investigate the impact

137 rning of single-cell transcriptomic data and multiscale mathematical modeling to analyze transitions

138 Here, we have used multiscale mathematical modelling to demonstrate that th

139 Here, using multiscale MD simulation-based predictions and FRET sens

140 thod and results exemplify a new paradigm of multiscale measurement, wherein one can observe and prob

141 on, offering advantages for high-resolution, multiscale measures of in vivo brain function.

142 Multiscale mechanical tests such as nanoindentation and

143 In this progress report, multiscale mechanics understanding of cellulose, includi

144 patterning provide unique insights into the multiscale mechanisms that connect gene regulation and 3

145 e effect of CotB2 mutations is studied using multiscale mechanistic docking, machine learning, and X-

146 , the function of hierarchy in conch shell's multiscale microarchitectures is explicated.

147 Using multiscale microstructural and mechanical characterisati

148 Complex multiscale microstructures including defects, domains, a

149 ation, high electronic-band degeneracy, rich multiscale microstructures, and low lattice thermal cond

150 he Earth's bow shock from the Magnetospheric Multiscale mission.

151 The Magnetospheric Multiscale (MMS) spacecraft encounter an electron diffus

152 e as recently observed by the Magnetospheric Multiscale (MMS) spacecraft.

153 owledge, novel and computationally efficient multiscale model accounting for multibond kinetics and h

154 In this study, we describe a multiscale model by linking atomistic molecular dynamics

155 A hybrid-multiscale model combining molecular, cellular and tissu

156 is proposed and embedded in a heterogeneous multiscale model framework for a GPF.

157 We present a multiscale model framework to predict electrotoxicity in

158 This multiscale model incorporates stochastic simulation of i

159 Here, we present a stochastic-mechanical multiscale model of an endothelial cell monolayer and sh

160 profiling, to personalize parts of a complex multiscale model of breast cancer treated with chemother

161 We developed a multiscale model of fibrinolysis that includes the main

162 A multiscale model of transcranial electrical stimulation

163 We extend an agent-based multiscale model of vascular tumour growth and angiogene

164 An experimentally constrained multiscale model shows that a minimal branched actin net

165 his question, we here present an agent-based multiscale model that integrates three-dimensional morph

166 We use a multiscale model to create dyadic structure-function rel

167 les to validate the results of the developed multiscale model.

168 lefins (MTO) process is investigated using a multiscale modeling approach where more than 100 ab init

169 Thus, our multiscale modeling correlates cytoskeletal filament siz

170 take advantage of computational advances and multiscale modeling for the analysis of complex, high-de

171 A three-dimensional multiscale modeling framework is developed to analyze th

172 work appears to demonstrate the potential of multiscale modeling in exploring the action of G protein

173 concepts, approaches, tools, and outcomes of multiscale modeling used to design and optimize the curr

174 Here we employ multiscale modeling within classical and quantum dynamic

175 estigate this process using a combination of multiscale modeling, ribosome profiling, and gene ontolo

176 y, small-angle X-ray diffraction (SAXRD) and multiscale modeling, to draw a detailed picture of the d

177 synthetic biology, single cell genomics, and multiscale modeling, which, when synthesized, provide a

178 tics of triple junctions in graphene using a multiscale modelling approach based on combining the pha

179 scientific community of systems medicine and multiscale modelling, data science and computing, to pro

180 Different kinds of multiscale models are discussed and demystified with a p

181 presentations of subcellular dynamics within multiscale models of epithelial tissues.

182 However, a major barrier for multiscale models to predict treatment outcomes in indiv

183 stematic integration of data into realistic, multiscale models.

184 tifying associated costs to healthcare using multiscale models.

185 Multiscale molecular dynamics simulations confirm proton

186 In this study, we employed multiscale molecular dynamics simulations to access the

187 Multiscale molecular modeling and (31)P-NMR experiments

188 Multiscale molecular-dynamics simulations were used to s

189 We do this through a multiscale Monte Carlo approach which permits the consid

190 We present a mathematical model using a multiscale, multicellular approach to simulate avascular

191 Multiscale, multimethod-and ideally multinational-studie

192 Here we describe our development of Multiscale Multiobjective Systems Analysis (MiMoSA), a m

193 Conceptual frameworks, including multiscale, multiphysics modeling of this complexity, ar

194 amics principles to derive a coarse-graining multiscale myofilament model that can describe the thin-

195 x chemistry inside nanocapsules, we design a multiscale nanoreactor simulation approach.

196 The semiporous, multiscale nature of these antennae influences how odor

197 ecise definition of its multidimensional and multiscale nature yields overlooked testable predictions

198 m brain transcriptome studies by employing a multiscale network biology approach to delineate the gen

199 otation, visualization, and interrogation of multiscale network communities, accessible within the po

200 of this sequence, which ruptured an unmapped multiscale network of interlaced orthogonal faults.

201 The human brain comprises a multiscale network with multiple levels of organization.

202 More precisely, we analyze the multiscale neural growth data obtained from label-free q

203 onsider a central, overarching goal of these multiscale neuroscience studies of human brain connectiv

204 eld and discuss recent findings of exemplary multiscale neuroscience studies that illustrate the impo

205 his review, we discuss the emerging trend of multiscale neuroscience, the multidisciplinary field tha

206 Differences were found between these multiscale nonlinear measures in the two groups at all s

207 We explored the multiscale organization of human connectomes using datas

208 s to be a powerful tool to mimic the complex multiscale organization of living tissues including skin

209 perconducting nanostructures with prescribed multiscale organization using DNA-based self-assembly me

210 Empirical optimization of the multiscale parameters underlying chromatographic and mem

211 we also consider the intricate and striking multiscale-patterned edge in certain brachiopods.

212 Our approach combines insights of multiscale pharmaceutical information by constructing a

213 perties that arise from long-range order and multiscale phenomena.

214 and ~ 100 million cells reveals quantitative multiscale "phenotypes" for organoid development, cultur

215 to the three-dimensional (3D), dynamic, and multiscale phenotyping challenge they pose.

216 onvergence, "phonon-glass electron-crystal", multiscale phonon scattering, resonant states, anharmoni

217 The multiscale physical and chemical characterization of the

218 This multiscale picture emphasizes that fracturing and erosio

219 Here, we use multiscale population-growth and 3D-morphometric analyse

220 The multiscale pores of SEBS substrates, with characteristic

221 A multiscale poromechanics framework was applied to cement

222 This property is inherited from multiscale porous polystyrene-block-poly(ethylene-ran-bu

223 W.m(-2) Other desired properties, rooted in multiscale porous SEBS substrates, include high breathab

224 de via spray printing of silver nanowires on multiscale porous SEBS substrates.

225 th analytics and numerics, and applicable to multiscale problems-that reintroduces the electronic len

226 onal demands and thus become impractical for multiscale problems.

227 wever, the success of this approach requires multiscale procedures, imposing considerable challenges

228 We model this multiscale process in filamentary organs for an arbitrar

229 enome encapsulated by a shell assembled by a multiscale process, starting from an integer multiple of

230 ess this hypothesis by examining the role of multiscale processes impacting monarchs during autumn, a

231 Mechanistically studying such multiscale processes in the laboratory presents a consid

232 challenging by the complex, interacting, and multiscale processes needed to understand Earth's behavi

233 Herein, recent trends in combining multiscale processes to enable the design of the next ge

234 , highlighting the importance of cooperative multiscale processes.

235 ecular HOSs and opens vast opportunities for multiscale programmable structures.

236 re distances are not Euclidean, predicts the multiscale properties of connectomes, including self-sim

237 nderstanding of connective tissues and their multiscale properties to better inform the design and tr

238 ide a LeafVeinCNN software package to enable multiscale quantification of leaf vein networks, facilit

239 ss linked to the Q reduction, we employ here multiscale quantum and classical molecular simulations.

240 evealed in the crystal structures, using the Multiscale Reactive Molecular Dynamics (MS-RMD) methodol

241 In this study, we used the multiscale reactive molecular dynamics method and free e

242 In this work, we report multiscale reactive molecular dynamics simulations that

243 In this study, extensive Multiscale Reactive Molecular Dynamics simulations with

244 n particular, for quantifying the effects of multiscale reconfigurability are quite limited.

245 These multiscale recordings capture single cell, multiunit, an

246 ms and modulate cell-fate choices, and these multiscale regulatory interactions ensure robust self-or

247 The intact heart undergoes complex and multiscale remodelling processes in response to altered

248 pproach can improve the understanding of the multiscale remodelling processes occurring in CVDs, and

249 e encourage landscape geneticists to utilize multiscale, replicated landscapes with both genetic dive

250 e type, highlighting the need for additional multiscale research.

251 lysis of focal and large-scale CNV events in multiscale resolution using either bulk or single-cell R

252 automatically discover and model objects, at multiscale resolutions, from repeated exposures to unlab

253 To assess multiscale responses to thermal perturbation of corals i

254 advances in the predictive understanding of multiscale self-assembly processes of both biological an

255 for X-ray scattering nanoprobes to image the multiscale signatures of criticality near a critical poi

256 In this perspective, we highlight the multiscale simulation models that are driving toward an

257 In this article, using a multiscale simulation technique, we provide multiple cri

258 supported by a combination of TEM, AFM, and multiscale simulation techniques.

259 Especially useful for multiscale simulation, this reduced model predicts throm

260 oteins subject to applied forces by means of multiscale simulation.

261 Here, using free energy techniques and multiscale simulations of numerous membrane proteins, we

262 on COVID-19 who are interested in performing multiscale simulations of the SARS-CoV-2 virion.

263 Validation based on substantial multiscale simulations supports the credibility of the T

264 We report here multiscale simulations that simulate experimental synthe

265 ctroscopy, small-angle x-ray scattering, and multiscale simulations, we have uncovered sequence featu

266 CaSpER integrates the multiscale smoothing of expression signal and allelic sh

267 -agriculture interface, it is essential that multiscale spatial patterns be addressed to avoid mistak

268 We present an open-source platform for multiscale spatiotemporal simulation of an epithelial ti

269 highlights the critical role of correlating multiscale spectroscopy and microscopy characterization

270 We show that these multiscale statistics clearly differentiate species' arc

271 rk for quantifying network architecture with multiscale statistics describing elongation ratios, circ

272 nting networks from images and in extracting multiscale statistics from subsequent network graph repr

273 Multiscale statistics then enabled the identification of

274 pecies in samples of up to 2 cm(2) , pairing multiscale statistics with traits representing axes of r

275 he resistance onset were characterized and a multiscale stochastic mathematical model was proposed to

276 We undertook a multiscale structural and functional investigation of SO

277 a model system, and through a combination of multiscale structural and mechanical characterization in

278 nity space to create advanced materials with multiscale structural control and hierarchical functiona

279 ties, confirming that our system can perform multiscale structural imaging of biological tissues, fro

280 nd provides unique capabilities to replicate multiscale structural organization, biological phenotype

281 ions necessary to alter significantly fibrin multiscale structure as observed in the literature.

282 pressing noise in predictions and extracting multiscale structure for hierarchical planning.

283 The multiscale structure of mixtures between the two prepara

284 The multiscale structure of the fibrins produced from those

285 Then, multiscale structure-function relationships in native so

286 tes is a major determining factor for fibrin multiscale structure.

287 of the influence of this parameter on fibrin multiscale structure.

288 Even multiscale structures with nanosized lines on the surfac

289 Our approach enables multiscale studies in models of congenital heart disease

290 ce and Technology (COST) Action CA15120 Open Multiscale Systems Medicine (OpenMultiMed) wish to engag

291 verage diagonal line (dlmax, dlmean) and the Multiscale time irreversibility asymmetry index.

292 nless steel sample is investigated through a multiscale tomography workflow spanning eight orders of

293 We adapted multiscale topology optimization, a mesh parametrization

294 mples of biomimetic designs that realize the multiscale toughening mechanisms in engineering material

295 cent advances that demonstrate that holistic multiscale translation is essential to biomimetic design

296 oscale of concussion, few have addressed the multiscale transmission of mechanical loading at thresho

297 properties, hold great potential for a truly multiscale understanding of the structure-function relat

298 al strength for fabrication and perfusion of multiscale vasculature and tri-leaflet valves.

299 utational cost is low, allowing their use in multiscale virtual-tissue simulations.

300 ials, generating mechanical metamaterials at multiscale with unique mechanical properties.