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数字化细胞
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作者 Erica Klarreich 徐金会 朱天慧 《世界科学》 2003年第7期18-19,共2页
通过含有特殊程序的细胞在人的血管中监测血糖浓度、关注胆固醇的积累等,这些设想虽还处于科幻阶段,但将计算机程序移植入生物体内的日子或许并不会太遥远。
关键词 细胞机器人 数字化细胞 遗传电路 细胞逻辑门 反相器 计算机程序
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Optimization and Synthesis of RF CMOS Polyphase Filters with Layout Considerations
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作者 张子三 马向鹏 +1 位作者 Kolnsberg Stephan Kokozinski Rainer 《Journal of Semiconductors》 EI CAS CSCD 北大核心 2004年第12期1612-1617,共6页
A novel software tool for optimization and synthesis of RF CMOS polyhase filters(PPFs),PPFOPTIMA,is developed.In the optimization engine,genetic algorithm is adopted to avoid local optima.Experiments on PPFOPTIMA demo... A novel software tool for optimization and synthesis of RF CMOS polyhase filters(PPFs),PPFOPTIMA,is developed.In the optimization engine,genetic algorithm is adopted to avoid local optima.Experiments on PPFOPTIMA demonstrate that it is an efficient design aid for design and optimization of RF CMOS PPFs. 展开更多
关键词 RF CMOS polyphase filters quadrature signal generation genetic algorithms analog CAD
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GA-BASED MAXIMUM POWER DISSIPATION ESTIMATION OF VLSI SEQUENTIAL CIRCUITS OF ARBITRARY DELAY MODELS
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作者 Lu Junming Lin Zhcnghui (LSI Research Institute, Shanghai Jiaotong University, Shanghai 200030) 《Journal of Electronics(China)》 2002年第4期378-386,共9页
In this paper, the glitching activity and process variations in the maximum power dissipation estimation of CMOS circuits are introduced. Given a circuit and the gate library, a new Genetic Algorithm (GA)-based techni... In this paper, the glitching activity and process variations in the maximum power dissipation estimation of CMOS circuits are introduced. Given a circuit and the gate library, a new Genetic Algorithm (GA)-based technique is developed to determine the maximum power dissipation from a statistical point of view. The simulation on 1SCAS-89 benchmarks shows that the ratio of the maximum power dissipation with glitching activity over the maximum power under zero-delay model ranges from 1.18 to 4.02. Compared with the traditional Monte Carlo-based technique, the new approach presented in this paper is more effective. 展开更多
关键词 CMOS sequential circuits Maximum power dissipation estimation Genetic algorithm Logic simulation Monte-Carlo technique
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Development of a Genetic Algorithm for Evaluating the Performance of Overhead Power Distribution Lines and Proposing Solutions to Improve Distribution Line Safety
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作者 Fabio Romero Alden U. Antunes +4 位作者 Dario Takahata Andre Meffe Carlos C. B. Oliveira Femando L. Lange Hamilton Souza 《Journal of Energy and Power Engineering》 2015年第1期78-82,共5页
This paper aims to present and discuss the use of a power flow methodology based on Gauss elimination method to evaluate the performance of distribution network taking into account the neutral conductor absence at spe... This paper aims to present and discuss the use of a power flow methodology based on Gauss elimination method to evaluate the performance of distribution network taking into account the neutral conductor absence at specific sections, and a development of a methodology based on GA (genetic algorithm) capable of evaluating alternative solutions in different bars of the feeder, in order to propose appropriate solutions to improve the distribution network safety. Besides the technical aspects, the proposed GA methodology takes into account the economic feasibility analysis. The results of power flow simulations have shown that the presence of single-phase transformers along with the absence of the neutral conductor at specific sections of the MV (medium voltage) network may increase the Vng (neutral-to-ground voltage) levels of the feeders involved, jeopardizing the system's safety. On the other hand, the solutions proposed by the GA methodology may reduce the network Vng levels and improve the safety conditions, providing values close to the ones found before the neutral conductor theft. 展开更多
关键词 Genetic algorithm power flow distribution line safety power flow simulation
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合成生物学应用于微生物群体感应的研究进展 被引量:1
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作者 徐梅婷 程珂珂 +2 位作者 曾艳华 周进 陈国福 《中国科学:生命科学》 CSCD 北大核心 2023年第1期64-81,共18页
细菌是一种单细胞生物,在自然环境中具有群体特征与组织化特性.群体感应信号(quorum sensing,QS)是细菌适应环境变化、调控基因表达和协调群体行为的通讯语言.QS系统广泛存在于各类微生物(细菌、真菌、古菌)并调控多种生理行为,包括生... 细菌是一种单细胞生物,在自然环境中具有群体特征与组织化特性.群体感应信号(quorum sensing,QS)是细菌适应环境变化、调控基因表达和协调群体行为的通讯语言.QS系统广泛存在于各类微生物(细菌、真菌、古菌)并调控多种生理行为,包括生物发光、生物被膜(biofilm)的形成、毒力因子的产生和共生关系的建立等.然而,鉴于自然界中微生物群落结构的多样性和功能的复杂性,QS介导下的调控网络和生态机制依然存在未知领域.近年来,合成生物学的蓬勃发展为认识QS效应提供了新的契机.合成生物学在设计遗传元件库、组装生物装置、设计遗传电路和创建预见性群落行为等方面取得了卓越的研究成果;该方法也为研究QS在调节微生物群落的组成和功能上提供了重要工具.鉴于此,本文尝试对最新的进展作一综述.首先介绍了QS系统及其主要功能作用和信号传导途径;其次,讨论了如何利用合成生物学来设计QS过程信号通路和遗传电路,并减少感应通路的串扰;最后,评估了合成感应系统的方法以及该方法在微生物种内和种间通讯中的表现.本文旨在梳理合成生物学的先进理念,加深对基于微生物QS系统构建计算工具、调控种群密度和代谢流等方面的理解,拓展合成生物学手段操纵QS领域的应用范围. 展开更多
关键词 群体感应 合成生物学 信号通 遗传电路 合成菌群
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