Functional model of the pancreatic islet of Langerhans with the HOT and COLD optimization methods
采用 HOT 和 COLD 优化方法的朗格汉斯胰岛功能模型
基本信息
- 批准号:15500126
- 负责人:
- 金额:$ 1.34万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (C)
- 财政年份:2003
- 资助国家:日本
- 起止时间:2003 至 2005
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This research is concerned with risk aversive structure and its function of the pancreatic islet of Langerhans constructed with the highly optimized tolerance (HOT) and the constrained optimization with limited deviations (COLD) models.At the first stage of the project, I developed software to generate HOT structures. The validity of the software was verified by applying the software to a toy problem of bio-terrorism in which the structure of a hypothetical bio-sensor network, as a defensive resource against bio-terrorism utilizing pathogenic virus, is optimized with the HOT modelAt the second stage, I utilized a cluster of pancreatic β-cells subject to Sherman's model to approximate an actual pancreatic islet. The performance of the cell-cluster was examined in terms of the fidelity in the permutation entropy of interspike time intervals of the membrane potential to that of actual cells in the islet. As a preliminary numerical experiment, the influence of statistical distribution of the cell parameters on complexity of the electrical activity was examined. Variances in the cell parameters lying between 10 and 15% about mean were found to be able to reproduce the permutation entropy of the actual dynamical behavior.At the final stage, under the assumption that the pancreatic α-cells and δ-cells form scale-free structure in the pancreatic islet, I got started with developing software to generate cell-deficiencies in a β-cell cluster to simulate the structure of an actual pancreatic islet where α-cells, β-cells and δ-cells are supposed to reside in the HOT state. This software is under development, which will reveal importance of the HOT state of the cell-arrangement.
本研究采用高度优化容差(HOT)和有限偏差约束优化(COLD)模型构建朗格汉斯胰岛的避险结构及其功能,在项目第一阶段开发了热结构生成软件。通过将该软件应用于一个生物恐怖玩具问题,利用热模型对假想的生物传感器网络的结构进行了优化,该生物传感器网络作为利用致病病毒进行生物恐怖的防御资源。在第二阶段,我利用符合谢尔曼模型的一群胰腺β细胞来逼近实际的胰岛。根据膜电位的棘波时间间隔的排列熵与胰岛中实际细胞的排列熵的保真度来检验细胞群的性能。作为初步的数值实验,考察了电池参数的统计分布对电活动复杂性的影响。在最后阶段,在假设胰腺α细胞和δ细胞在胰岛形成无标度结构的情况下,我开始开发软件来生成β细胞集群中的细胞缺陷,以模拟实际胰岛的结构,其中α细胞、β细胞和δ细胞应该位于热状态。该软件正在开发中,它将揭示电池布置热状态的重要性。
项目成果
期刊论文数量(69)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Designing the Structure of Sensor Networks with the Highly Optimized Tolerance Model
利用高度优化的容差模型设计传感器网络的结构
- DOI:
- 发表时间:2005
- 期刊:
- 影响因子:0
- 作者:T.Miyano;T.Tsutsui
- 通讯作者:T.Tsutsui
宮野尚哉, 山腰みゆき: "Highly Optimized Toleranceによるセンサ集団の最適配置構造の設計"電気学会論文誌C. (印刷中). (2004)
Naoya Miyano、Miyuki Yamakoshi:“通过高度优化公差设计传感器组的最佳排列结构”,日本电气工程师学会会刊 C.(出版中)。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Designing sensor networks by a generalized highly optimized tolerance model
通过广义高度优化的容差模型设计传感器网络
- DOI:
- 发表时间:2005
- 期刊:
- 影响因子:0
- 作者:T.Miyano;M.Yamakoshi
- 通讯作者:M.Yamakoshi
Highly Optimized Toleranceによるセンサ集団の最適配置構造の設計
使用高度优化公差设计传感器组的优化排列结构
- DOI:
- 发表时间:2004
- 期刊:
- 影响因子:0
- 作者:宮野尚哉;山腰みゆき
- 通讯作者:山腰みゆき
Generalized highly optimized tolerance modelによるセンサネットワークの設計
使用广义高度优化容差模型的传感器网络设计
- DOI:
- 发表时间:2004
- 期刊:
- 影响因子:0
- 作者:T.Miyano;M.Yamakoshi;宮野尚哉
- 通讯作者:宮野尚哉
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MIYANO Takaya其他文献
MIYANO Takaya的其他文献
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{{ truncateString('MIYANO Takaya', 18)}}的其他基金
Empirical study on integrated chaos-based stream cipher
基于混沌的集成流密码实证研究
- 批准号:
18H03307 - 财政年份:2018
- 资助金额:
$ 1.34万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Study on chaotic gas turbine and its applications
混沌燃气轮机及其应用研究
- 批准号:
22500214 - 财政年份:2010
- 资助金额:
$ 1.34万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Estimation of degrees of nonlinearity of the dynamics underlying complex behavior and its applications
复杂行为背后的动力学非线性程度估计及其应用
- 批准号:
12834002 - 财政年份:2000
- 资助金额:
$ 1.34万 - 项目类别:
Grant-in-Aid for Scientific Research (C)














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