A dynamically reconfigurable automotive control system architecture

This paper proposes a vehicular control system architecture that supports self-configuration. The architecture is based on dynamic mapping of processes and services to resources to meet the challenges of future demanding use-scenarios in which systems must be flexible to exhibit context-aware behaviour and to permit customization. The architecture comprises a number of low-level services that provide the required system functionalities, which include automatic discovery and incorporation of new devices, self-optimisation to best-use the processing, storage and communication resources available, and self-diagnostics. The benefits and challenges of dynamic configuration and the automatic inclusion of users' Consumer Electronic (CE) devices are briefly discussed. The dynamic configuration and control-theoretic technologies used are described in outline and the way in which the demands of highly flexible dynamic configuration and highly robust operation are simultaneously met without compromise, is explained. A number of generic use-cases have been identified, each with several specific use-case scenarios. One generic use-case is described to provide an insight into the extent of the flexible reconfiguration facilitated by the architecture.

Molecular biology of cancer: mechanisms, targets, and therapeutics

1: Introduction 2: DNA structure and stability: mutations vs. repair 3: Regulation of gene expression 4: Growth factor signaling and oncogenes 5: The cell cycle 6: Growth inhibition and tumor suppressor genes 7: Apoptosis 8: Stem cells and differentiation 9: Metastasis 10: Infections and inflammation 11: Nutrients, hormones, and gene interactions 12: The Cancer Industry: drug development and clinical trial design 13: Cancer in the future: focus on diagnostics and immunotherapy