ライフサイエンスコーパス: fluid dynamic

1 ferent climatic conditions via computational fluid dynamics.

2 time points through the use of computational fluid dynamics.

3 ing simulation models based on computational fluid dynamics.

4 es for pulmonary diseases involving abnormal fluid dynamics.

5 ta assimilation, for example, in geophysical fluid dynamics.

6 ns can be well described using computational fluid dynamics.

7 of the beam power distribution to the local fluid dynamics.

8 annel, which were confirmed by computational fluid dynamics.

9 tion, graft apposition, and tissue interface fluid dynamics.

10 surface tension, gravity, and incompressible fluid dynamics.

11 essential yet long-neglected by traditional fluid dynamics.

12 ments of interest (n=142) with computational fluid dynamics.

13 rgent properties determined by the resulting fluid dynamics.

14 n incorrect application of the principles of fluid dynamics.

15 Two-dimensional electro-fluid-dynamic (2-D EFD) devices, in which both electric

16 ally be used to monitor how the interstitial fluid dynamics affect cancer microenvironment and plasti

17 a local workstation by using a computational fluid dynamics algorithm.

18 Computational fluid dynamic analysis demonstrated increased velocity a

19 ng Fontan can be calculated by computational fluid dynamic analysis using 3-dimensional MRI anatomic

20 We used computational fluid dynamics analysis to assess hemodynamic parameters

21 ssure calculations, using both computational fluid dynamics and a newly developed method from empiric

22 ultiscale mathematical model that integrates fluid dynamics and an intracellular insulin signaling pa

23 odel relied on the coupling of computational fluid dynamics and biochemical kinetics, and was validat

24 Fluid dynamics and evolutionary biology independently pr

25 haracteristics in humans using computational fluid dynamics and frequency-domain optical coherence to

26 Recent advances in computational fluid dynamics and image-based modeling now permit deter

27 A coupled computational fluid dynamics and mass transfer model was applied to pr

28 The analysis describes the characteristic fluid dynamics and mass transport effects occurring in a

29 model that provides a deep understanding of fluid dynamics and mass transport in the EOPPP method, a

30 odelling the coupling between heat transfer, fluid dynamics and surface reaction kinetics.

31 tic field, and study the micro-environmental fluid dynamics and their effect on tumor growth by accou

32 ll organs, responsible for maintaining organ fluid dynamics and tissue homeostasis.

33 Here we present data from computational fluid dynamics and video endoscopy in suspension-feeding

34 ation of vapour in liquids, is ubiquitous in fluid dynamics, and is often implicated in a myriad of i

35 We draw on the fields of biomechanics, fluid dynamics, and robotics to demonstrate that there i

36 A computational fluid dynamics approach was taken, solving the Navier-St

37 The three-dimensional intracochlear fluid dynamics are coupled to a micromechanical model of

38 of a major life history event in response to fluid-dynamic attributes of a target environment.

39 Computational fluid dynamics based on finite element analysis was used

40 the dual-pulse to control the plasma-driven fluid dynamics by adjusting the axial offset of the two

41 sing first-principle chemistry, physics, and fluid dynamics, calibrated from depuration experiments.

42 Intraventricular fluid dynamics can be assessed clinically using imaging.

43 Computational fluid dynamic (CFD) simulations using the libraries of O

44 By use of computational fluid dynamic (CFD) software with turbulence modeling, t

45 r feeding is inconsistent with computational fluid dynamics (CFD) and analytical estimates.

46 We present a computational fluid dynamics (CFD) model for the swimming of micro org

47 Here, we used a computational fluid dynamics (CFD) model of rat nasal cavity to simula

48 two-dimensional moving domain computational fluid dynamics (CFD) model, providing new insights into

49 I was used in conjunction with computational fluid dynamics (CFD) modeling to investigate the hemodyn

50 al tumor capillary models, and Computational Fluid Dynamics (CFD) modeling.

51 We performed computational fluid dynamics (CFD) simulations to calculate the wall s

52 We performed computational fluid dynamics (CFD) simulations to determine the variat

53 re confirmed by fully resolved computational fluid dynamics (CFD) simulations.

54 In this paper, a computational fluid dynamics (CFD) study was conducted in a nondetermi

55 This paper uses Computational Fluid Dynamics (CFD) to conduct a parametric study to en

56 ch pairing experimentation and computational fluid dynamics (CFD) was selected to provide comprehensi

57 M) and hemodynamic effects via computational fluid dynamics (CFD).

58 nd WSS were quantified with 3D computational fluid dynamics (CFD).

59 cted theoretical and experimental studies on fluid dynamic characteristics of laminar flows in wideni

60 n the cloudy atmosphere, and a computational fluid dynamics code for the Richtmyer-Meshkov instabilit

61 mediating platelet aggregation under varying fluid dynamic conditions, and modify the current interpr

62 When grown under intravascular-magnitude fluid dynamic conditions, K. pneumoniae spontaneously de

63 sperm response may be tuned to meet specific fluid-dynamic constraints, shear could act as a critical

64 Fluid dynamic design considerations are discussed, espec

65 To correlate intraoperative interface fluid dynamics during Descemet stripping automated endot

66 y capture technique-dependent differences in fluid dynamics during DSAEK.

67 suggest that neither polysaccharide altered fluid dynamics during infection since GXM behaved in sol

68 pex myocardial perfusion gradient indicating fluid dynamic effects of diffuse coronary artery narrowi

69 anding how this adhesive bond can oppose the fluid dynamic effects of rapidly flowing blood to initia

70 scular endothelial cells in vivo occurs in a fluid dynamic environment due to blood flow, but the rol

71 These fluid dynamic events could be important to induce shear

72 Using both experimental assays and fluid-dynamic finite element simulation models, we direc

73 Living systems rely on fluid dynamics from embryonic development to adulthood.

74 The laws of fluid dynamics govern vortex ring formation and precede

75 capillary expansions, but the details of the fluid dynamics have not been elucidated.

76 Mathematical models including detailed fluid dynamics have previously been used to understand b

77 It was found that complex coupled fluid dynamics, heat transfer, and electrostatic phenome

78 ter technique, showing through computational fluid dynamics how the mixing efficiency strongly depend

79 We report the direct observation of fluid dynamics in a single zinc oxide nanotube with the

80 These observations hint at the polariton fluid dynamics in conditions of extreme intensities and

81 o our knowledge, this is the first time that fluid dynamics in diagnostic membranes have been analyze

82 The fluid dynamics in this regime are very different from th

83 erimental access to questions of microscopic fluid dynamics in vivo.

84 These results also show that fluid dynamic interactions alone are sufficient to gener

85 by flexible medusan bell margins relies upon fluid dynamic interactions between entrained flows at th

86 al area according to minimal level of thermo-fluid-dynamic irreversibility.

87 ery low Reynolds number, the regime in which fluid dynamics is governed by Stokes equations, a helix

88 Computational fluid dynamics is used to determine the flow pattern wit

89 heric sulfate aerosols) from the Geophysical Fluid Dynamics Laboratory and Hadley Centre climate mode

90 Using the Geophysical Fluid Dynamics Laboratory comprehensive Earth System Mod

91 imate (A2 and B1 IPCC emissions; Geophysical Fluid Dynamics Laboratory General Circulation Models) on

92 e an earth system model from the Geophysical Fluid Dynamics Laboratory to investigate regional impact

93 ns on filling and to assess whether impaired fluid dynamics may be a source of diastolic dysfunction.

94 rphologic data support the potential role of fluid dynamic mechanical factors in atherogenesis and ha

95 computed tomography to create computational fluid dynamics model cones.

96 The computational fluid dynamics model is used to determine the shape of a

97 dam environments, we combine a computational fluid dynamics model of the flow field at a dam and a be

98 perimental results are compared to a complex fluid dynamics model showing an agreement between the tw

99 Here we simulate stratocumulus clouds with a fluid dynamics model that includes detailed treatments o

100 We use a computational fluid dynamics model to show that this frequency-invaria

101 two-dimensional heterogeneous computational fluid dynamics model was developed and validated to stud

102 sed on full- and reduced-order computational fluid dynamic modeling, as well as artificial intelligen

103 intravascular ultrasound) and computational fluid dynamics modeling for WSS calculation.

104 Using immunohistochemistry, computational fluid dynamics modeling, and patch clamp recording, we d

105 crocapillary flow, verified by computational fluid dynamics modelling.

106 V reactors as well as validate computational fluid dynamics models that are widely used to simulate U

107 behaviour relaxes the boundaries between the fluid dynamic niches of motile and non-motile phytoplank

108 riments help to explain how dogs exploit the fluid dynamics of the generated column.

109 impact of plasma dynamics and plasma-driven fluid dynamics on the flame growth of laser ignited mixt

110 ribs on the porous surface of a cone) cause fluid dynamic phenomena distinct from current biological

111 ient-specific assessment using computational fluid dynamics provides an estimate of local hemodynamic

112 ed from theories of biochemical oscillation, fluid dynamics, reaction-diffusion-based pattern instabi

113 icromotors, and along with the corresponding fluid dynamics, results in a highly efficient mobile CO2

114 esults suggest that pre-Fontan computational fluid dynamic simulation may be valuable for determining

115 Recently, fluid dynamic simulation models have identified distinct

116 ts of LPA stenosis motivated a computational fluid dynamic simulation study within 3-dimensional pati

117 A computational fluid dynamics simulation (CFD) was performed using our

118 the DropArray plate were quantified through fluid dynamics simulation and complete retention of susp

119 ows, validating the multiphase computational fluid dynamics simulation.

120 Using computational fluid dynamic simulations and in vivo thrombosis models,

121 Computational fluid dynamic simulations determined flow, velocity and

122 Computational fluid dynamic simulations of a basic monolithic structur

123 ngle, which is consistent with computational fluid dynamic simulations showing that different angles

124 Steady computational fluid dynamic simulations were performed at baseline con

125 Computational fluid dynamic simulations were performed on seven lower

126 ict the behavior of a two-phase system using fluid dynamic simulations with water-butanol and water-c

127 sual flow behavior, and verify computational fluid dynamic simulations.

128 ticle tracking velocimetry and computational fluid dynamics simulations to estimate the contractile f

129 l patterns can be predicted by computational fluid dynamics simulations with high experimental correl

130 spectroscopy velocimetry and finite element fluid dynamics simulations.

131 ts showing good agreement with computational fluid dynamics simulations.

132 dertaken using high-resolution computational fluid dynamic software.

133 Computational fluid dynamics software may be used to predict the influ

134 rainment of metal micro-particles to similar fluid dynamic studies in other fields of science will be

135 A fungal individual can be viewed as a fluid, dynamic system that is characterized by hyphal ti

136 By investigating the fluid dynamics that controls the transport of the MVP in

137 work now supports an evolving model of body fluid dynamics that integrates exchangeable Na(+) stores

138 Intravessel variations were consistent with fluid dynamic theory.

139 As fluid dynamics throughout the placenta are driven by a v

140 Here we apply a fundamental technique from fluid dynamics to an ecosystem model to show how fronts

141 In parallel, we used simulations of fluid dynamics to analyze our experimental data.

142 ed favorably to an analytical model based on fluid dynamics to describe the energy deposition.

143 consider the vascular/interstitial/lymphatic fluid dynamics to show that tumors with larger lymphatic

144 lli serve a mechanosensory function in which fluid dynamic torque is transmitted to the actin cytoske

145 ntum systems, which is suitable for encoding fluid dynamics transport phenomena within a lattice kine

146 Understanding fluid dynamics under extreme confinement, where device a

147 Computational fluid dynamics was used to model flow past multiple adhe

148 Computational fluid dynamics was used to simulate fluid flow inside fl

149 basis of flow measurements and computational fluid dynamics, we applied a tandem stenosis to the caro

150 iled three-dimensional analysis of the local fluid dynamics, we estimate a mean effective thickness o

151 fully couples the Navier-Stokes equations of fluid dynamics with an actuated, elastic body model.

152 Navier-Stokes equations using computational fluid dynamics with overset grids, and validate our resu

153 By combining computational fluid dynamics with physical-chemical characteristics of

154 riment and prediction based on computational fluid dynamics, with experiment generally showing only s