【摘 要】
:
Blood vessel systems and leaf venations are typical biological transport networks. The energy consumption for such a system to perform its biological functions
【机 构】
:
ShanghaiJiaoTongUniversity
【出 处】
:
Workshop on Mathematical and Physical Methods for Biological
论文部分内容阅读
Blood vessel systems and leaf venations are typical biological transport networks. The energy consumption for such a system to perform its biological functions is determined by the network structure. In the first part of this talk, I will discuss the optimized structure of vessel networks, and show how the blood vessel system adapts itself to an optimized structure.
其他文献
A new algorithm is motivated by the similarities and differences between the Metropolis-Hastings (MH) algorithm and sampling importance/ resampling (SIR). B
Bacterial biofilms are surface-associated, multicellular, morphologically complex microbial communities. Much work has focused on factors affecting surface adhe
Cross-diffusion system is an important class of reaction-diffusion problems. At the individual level, the basic underlying assumption for cross-diffusion is tha
Descriptive analysis of sample survey data estimates means, totals and their variances in a design framework (see for example Haslett, 1985). When analysis
Representative Points (RP) have been considered by many people. It is a set of points that can retain majority of information about the population. Traditio
Cell migration plays a key role in many physiological processes, such as embryogenesis, wound repair, or metastasis formation. Cell migration is the result of a
Multiple phenotypic states often arise in a single cell with different gene-expression states that undergotranscription regulation with positive feedback. Recen
Active matter, which is a physical abstraction of running animals, flying birds, marching locusts, swimming bacteria, migrating cell and even cytoskeleton, has
Normal mixture regression models are one of the most important statistical data analysis tools in a heterogeneous population. When the data set under consid
The need to estimate structured covariance matrices arises in a variety of applications and the problem is widely studied in statistics. A new method is pro