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摘要翻译：
微生物通过趋化作用聚集，对抗自身分泌的信号浓度梯度。我们数值研究了一个由具有细胞内动力学、具有状态依赖的周转率的随机游动和引诱剂分泌的元素组成的模型。研究了引诱剂的扩散和分解速率，得到了有聚集和无聚集以及部分聚集的三个相，并分析了细胞聚集的条件。结果表明，聚集簇的大小与细胞密度无关，与实验结果一致。
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英文标题：
《Conditions for Chemotactic Aggregation》
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作者：
Masayo Inoue and Kunihiko Kaneko
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最新提交年份：
2007
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分类信息：
一级分类：Physics 物理学
二级分类：Statistical Mechanics 统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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英文摘要：
Micro-organisms aggregate through chemotaxis against a concentration gradient of signals secreted by themselves. We have numerically studied a model consisting of elements with intracellular dynamics, random walks with a state-dependent turnover rate, and secretion of attractant. Three phases with and without aggregation, as well as partial aggregation, were obtained as to the diffusion and decomposition rates of the attractant, and conditions for cellular aggregation were analyzed. The size of aggregated clusters was shown to be independent of cell density, as is consistent with experiment.
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PDF链接：
https://arxiv.org/pdf/710.5599
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