Topology of biological networks and reliability of information processing

Biological systems rely on robust internal information processing: Survival depends on highly reproducible dynamics of regulatory processes. Biological information processing elements, however, are intrinsically noisy (genetic switches, neurons, etc.). Such noise poses severe stability problems to system behavior as it tends to desynchronize system dynamics (e.g. via fluctuating response or transmission time of the elements). Synchronicity in parallel information processing is not readily sustained in the absence of a central clock. Here we analyze the influence of topology on synchronicity in networks of autonomous noisy elements. In numerical and analytical studies we find a clear distinction between non-reliable and reliable dynamical attractors, depending on the topology of the circuit. In the reliable cases, synchronicity is sustained, while in the unreliable scenario, fluctuating responses of single elements can gradually desynchronize the system, leading to non-reproducible behavior. We find that the fraction of reliable dynamical attractors strongly correlates with the underlying circuitry. Our model suggests that the observed motif structure of biological signaling networks is shaped by the biological requirement for reproducibility of attractors.Comment: 7 pages, 7 figure

Automatic assembly design project 1968/9: report of technical survey committee

An Industrial survey has been carried out to determine the desired features of an automatic as machine. A questionnaire was circulated to industry and the results of the 38% response obtained were analysed and plotted. From these, conclusions were drawn as to the industrial requirements of an assembly machine

The Self Organised Learning Environment (SOLE) School Support Pack.

This document is designed to support the implementation of Sugata Mitra’s Self Organised Learning Environment (SOLE) into multiple school contexts. It contains ‘whole school’ related information for Head Teachers and senior staff in addition to teaching and learning support for teachers and support staff. A kindle version of Sugata Mitra's "Beyond the Hole in the Wall: Discover the Power of Self-Organized Learning" is available here http://goo.gl/iaL4B

A Component-Based Approach for Scientific Services for Education and Research (Scientific SEARCH)

Today’s challenge for retrieving digital information by users such as “students,” educators,” or “researchers” is coping, more than ever before, with the excessive data and information available. The problem is further compounded because of the way scientific knowledge is structured, in terms of expert interviews, articles, conference coverage, journal scans etc. Great progress has been made in digital library research. The NSF/NSDL through their initiatives has assembled a great set of tools and techniques that hold significant potential. Many projects are now underway applying these tools and techniques to meet the information needs of different user communities. The primary focus of Scientific SEARCH project is enhancing access to high quality learning materials and resources, modules, and other digital objects targeted towards scientific consumer and scientific producer. The project will use a multi-phased approach to achieve the objective. The paper describes the first-phase work submitted to NSF 04-542 solicitation

Noam Chomsky on Where Artificial Intelligence Went Wrong

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Delphi Austria - An Example of Tailoring Foresight to the Needs of a Small Country

The world-wide diffusion and recognition of Technology Foresight suggests that it is of value for quite diverse types of economies and societies. Its merit as an important tool of strategic intelligence for policy-making also in small countries and transition economies depends on a careful tailoring to specific needs. Practice of Foresight is rather diverse also among small countries, but approaches tend to be more selective in scope, have more specific goals, and put greater emphasis on demand aspects than in bigger countries. Austria’s first systematic Foresight programme (completed in 1998) is an example of an innovative approach adapted to the needs of a small country. This contribution shows how Delphi Austria was tailored to a small economy which had undergone a successful catch-up process and how the Foresight process as well as its results have been utilised.Technology Foresight, Delphi method, small country, Austria, innovation, technology policy, implementation