ライフサイエンスコーパス: automaton

1 e as an excitable automaton network (F-actin automaton).

2 s until there is a draw or a victory for the automaton.

3 )which, in turn, affect the evolution of the automaton.

4 ng that simulates a one-dimensional cellular automaton.

5 can become established within the evolutive automaton.

6 As a quantum-mechanical cellular automaton, a discrete-time quantum walk is defined to in

7 and multiply small numbers, and a molecular automaton able to diagnose Ebola and Marburg virus seque

8 Modified cellular automaton and diffusion reaction models demonstrate prot

9 lso has some of the properties of a cellular automaton and shows an unexpected emergence of spatial p

10 lattice-Boltzmann (LB) method is a cellular automaton approach to simulating fluid flow with many ad

11 The employed cellular automaton-based computer model examines the life history

12 umour cells are modelled by using a cellular automaton (CA) approach, where each cell has its own int

13 We extended a two-dimensional cellular automaton (CA) Daisyworld to include mutation of optimal

14 Cellular automaton (CA) simulations are performed with Mathematic

15 We describe a molecular automaton, called MAYA, which encodes a version of the g

16 The automaton cannot be defeated because it implements a per

17 We set up a cellular automaton computational model that simulates ECM penetra

18 dic control valve technology, a microfluidic automaton consisting of a two-dimensional microvalve cel

19 The automaton covers all possible responses to two consecuti

20 nsumption of a limiting nutrient; a cellular automaton describing cell migration, proliferation, and

21 tal simulation is based on a hybrid cellular automaton design using genetic rules to determine each c

22 An efficient deterministic finite automaton (DFA) based model is then developed to search

23 arios is all the more remarkable because the automaton does not include many important physical proce

24 plemented on a PDMS-based microfluidic chip (automaton), followed by single nucleic acid fluorescence

25 biologically driven discrete hybrid cellular automaton (HCA) model of bone metastatic prostate cancer

26 This automaton in turn controls the differentiation of the ce

27 The automaton is a Boolean network of deoxyribozymes that in

28 rategy that can be encoded by a finite state automaton is a possible mutant.

29 onstructing a discrete model like a cellular automaton is a powerful method for understanding various

30 A computer-based evolutive automaton is used to explore possible evolutionary scena

31 e directly compared with a previous cellular automaton model and experimental measurements made at th

32 our primary scientific interests: a cellular automaton model for earthquakes, a multifractal random w

33 We present a stochastic cellular automaton model for the behavior of limb bud precartilag

34 y simulating the RF response with a cellular automaton model immune system, we demonstrate that patho

35 A hybrid cellular automaton model is described and used to simulate early

36 , discrete/continuous computational cellular automaton model of a generalised stem-cell driven tissue

37 I show that an empirically derived cellular automaton model of a rocky intertidal mussel bed based o

38 vel and versatile three-dimensional cellular automaton model of brain tumor growth.

39 We present a cellular automaton model of clonal evolution in cancer aimed at i

40 developed a two-dimensional hybrid cellular automaton model of early brain tumor growth that couples

41 We propose a cellular automaton model of solid tumour growth, in which each ce

42 Using a two-dimensional hybrid cellular automaton model of tumour growth, we evaluate the effect

43 In this paper, we introduce a cellular automaton model of viral propagation based on the known

44 our arguments in an elasto-plastic model, an automaton model similar to those used in depinning, but

45 We develop a cellular automaton model that tracks the temporal evolution of th

46 report the development of a hybrid cellular automaton model to mimic the growth of avascular tumours

47 We propose a cellular automaton model where local rules focus on fertilization

48 a filamentous actin molecule as an excitable automaton network (F-actin automaton).

49 Computer simulations using a novel cellular-automaton network model provide quantitative insights in

50 We implemented the cellular automaton on a two-dimensional (2D) square lattice to em

51 Our microfluidic automaton provides a fully automated, portable microflui

52 The cycle of human player input and automaton response continues until there is a draw or a

53 Based on cellular automaton simulations we argue that the effect of group

54 findings are supported by explicit cellular automaton simulations, which justify the mean-field trea

55 ive microvessels as components of a cellular automaton state vector.

56 uild a multipurpose reprogrammable molecular automaton that goes beyond single-purpose 'hard-wired' m

57 The final output of a molecular automaton that successfully completes its analysis is th

58 describe a novel application of finite-state automaton to map Illumina short-read sequence data for i

59 lls are considered as elements of a cellular automaton, whose evolution rules are inspired by the dif

60 A combination of a state automaton with stochastic local rules and a set of diffe