On the efficiency of cell-like and tissue-like recognizing membrane systems
✍ Scribed by Miguel A. Gutiérrez-Naranjo; Mario J. Pérez-Jiménez; Agustín Riscos-Núñez; Francisco J. Romero-Campero
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 170 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
✦ Synopsis
Cell-like recognizing membrane systems are computational devices in the framework of membrane computing inspired from the structure of living cells, where biological membranes are arranged hierarchically. In this paper tissue-like recognizing membrane systems are presented. The idea is to consider that membranes are placed in the nodes of a graph, mimicking the cell intercommunication in tissues. In this context, polynomial complexity classes associated with recognizing membrane systems can be defined. We recall the definition for cell-like systems, and we introduce the corresponding complexity classes for the tissue-like case. Moreover, in this paper two efficient solutions to the satisfiability problem are analyzed and compared from a complexity point of view.
📜 SIMILAR VOLUMES
## Abstract In guided bone regeneration (GBR), a semipermeable membrane is placed over an osseous defect to create a secluded environment in which bone formation can proceed without ingrowth of connective tissue cells from the overlaying soft tissue. Although the cell‐occlusive property of GBR memb
The distribution of the myomodulin-like and buccalin-like immunoreactivities in the central nervous system and peripheral tissues associated with feeding was examined in the pteropod mollusc Clione limacina by using wholemount immunohistochemical techniques. Immunoreactive neurons and cell clusters