We consider an anisotropic swarm model with an attraction/repulsion function and study its aggregation properties. It is shown that the swarm members will aggregate and eventually form a cohesive cluster of finite siz...We consider an anisotropic swarm model with an attraction/repulsion function and study its aggregation properties. It is shown that the swarm members will aggregate and eventually form a cohesive cluster of finite size around the swarm center in a finite time. Moreover, we extend our results to more general attraction/repulsion functions. Numerical simulations demonstrate that all agents will eventually enter into and remain in a bounded region around the swarm center which may exhibit complex spiral motion due to asymmetry of the coupling structure. The model in this paper is more general than isotropic swarms and our results provide further insight into the effect of the interaction pattern on individual motion in a swarm system.展开更多
Agent-based models (ABMs) are capable of constructing individual system components at different levels of representation to describe non-linear relationships between those components. Compared to a traditional mathema...Agent-based models (ABMs) are capable of constructing individual system components at different levels of representation to describe non-linear relationships between those components. Compared to a traditional mathematical modeling approach, agent-based models have an inherent spatial component with which they can easily describe local interactions and environmental heterogeneity. Furthermore, agent-based model maps interactions among agents inherently to the biological phenomenon by embedding the stochastic nature and dynamics transitions, thereby demonstrating suitability for the development of complex biological processes. Recently, an abundance of literature has presented application of agent-based modeling in the biological system. This review focuses on application of agent-based modeling to progression in simulation of infectious disease in the human immune system and discusses advantages and disadvantages of agent-based modeling application. Finally, potential implementation of agent-based modeling in relation to infectious disease modeling in future research is explored.展开更多
根据微生物之间协同关系的微生态理论筛选、组合获得一种由6株功能菌组成的除臭复合菌剂,该复合菌剂对粪便原位除臭效果良好,对综合恶臭的平均去除率为54.97%,最大去除率为72.95%。通过16 S r DNA、18S r DNA和26S r DNA D1/D2区序列同...根据微生物之间协同关系的微生态理论筛选、组合获得一种由6株功能菌组成的除臭复合菌剂,该复合菌剂对粪便原位除臭效果良好,对综合恶臭的平均去除率为54.97%,最大去除率为72.95%。通过16 S r DNA、18S r DNA和26S r DNA D1/D2区序列同源性分析,菌剂中的6种微生物为罗伦隐球酵母菌(Cryptococcus laurentii)、Bacillus safensis、枯草芽孢杆菌(Bacillus subtilis)、卷枝毛霉(Mucor circinelloides)、发酵乳杆菌(Lactobacillus fermentum)和沼泽红假单胞菌(Rhodopseudomonas palustris),鉴定结果表明,复合菌剂中有酵母菌、芽孢杆菌、霉菌、乳酸菌及光合菌,这些功能菌属于当前生物除臭复合菌剂中的主流菌群。展开更多
基金This work was supported by the National Natural Science Foundation of China (No. 10372002,60274001) and the National Key Basic Research and Develop-ment Program (No.2002CB312200).
文摘We consider an anisotropic swarm model with an attraction/repulsion function and study its aggregation properties. It is shown that the swarm members will aggregate and eventually form a cohesive cluster of finite size around the swarm center in a finite time. Moreover, we extend our results to more general attraction/repulsion functions. Numerical simulations demonstrate that all agents will eventually enter into and remain in a bounded region around the swarm center which may exhibit complex spiral motion due to asymmetry of the coupling structure. The model in this paper is more general than isotropic swarms and our results provide further insight into the effect of the interaction pattern on individual motion in a swarm system.
文摘Agent-based models (ABMs) are capable of constructing individual system components at different levels of representation to describe non-linear relationships between those components. Compared to a traditional mathematical modeling approach, agent-based models have an inherent spatial component with which they can easily describe local interactions and environmental heterogeneity. Furthermore, agent-based model maps interactions among agents inherently to the biological phenomenon by embedding the stochastic nature and dynamics transitions, thereby demonstrating suitability for the development of complex biological processes. Recently, an abundance of literature has presented application of agent-based modeling in the biological system. This review focuses on application of agent-based modeling to progression in simulation of infectious disease in the human immune system and discusses advantages and disadvantages of agent-based modeling application. Finally, potential implementation of agent-based modeling in relation to infectious disease modeling in future research is explored.
文摘根据微生物之间协同关系的微生态理论筛选、组合获得一种由6株功能菌组成的除臭复合菌剂,该复合菌剂对粪便原位除臭效果良好,对综合恶臭的平均去除率为54.97%,最大去除率为72.95%。通过16 S r DNA、18S r DNA和26S r DNA D1/D2区序列同源性分析,菌剂中的6种微生物为罗伦隐球酵母菌(Cryptococcus laurentii)、Bacillus safensis、枯草芽孢杆菌(Bacillus subtilis)、卷枝毛霉(Mucor circinelloides)、发酵乳杆菌(Lactobacillus fermentum)和沼泽红假单胞菌(Rhodopseudomonas palustris),鉴定结果表明,复合菌剂中有酵母菌、芽孢杆菌、霉菌、乳酸菌及光合菌,这些功能菌属于当前生物除臭复合菌剂中的主流菌群。
