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Protein assemblies with a high degree of repetitiveness and organization are known to induce strong immune responses. For that reason they have been postulated for the design of subunit vaccines by means of protein engineering. The enzyme lumazine synthase from…

Can dialogue reveal hidden truths? This is what prompted Bronwen Rees and
Andrew Armitage to experiment with the dialogical process to explore how
realities and knowledge about our organisations are created.

Nutrigenomics covers disparate fields of nutrition science and has been defined in many different ways. In fact, this emerging field of science has multiple facets, many of which do not generate the same ethical issues. In particular, different ethical issues…

This research explored the role of extra-therapeutic variables contributing to recovery
from chronic Post Traumatic Stress Disorder (PTSD). Within the context of dramatherapy
treatment, those variables were identified as three crucial concepts: 'Client, Post
Traumatic' (C.PT), ‘Imaginary Existence Zone’ (IEZ)…

In this work, non-equilibrium molecular dynamics simulations are used to generate the flow of linear polymer chains (monomer-springs with FENE potential) and a Lennard-Jones fluid (Newtonian fluid) through a con traction-expansion (4:1:4) geometry. An external force field simulating a constant…

If we are to understand how we can build machines capable of broad purpose learning and reasoning, we must first aim to build systems that can represent, acquire, and reason about the kinds of commonsense knowledge that we humans have…

Three important trends - unrelenting globalization, growing worldwide electronic connectivity, and increasing knowledge intensity of economic activity - are creating new opportunities for global politics, with challenging demands for information access, interpretation, provision and overall use. This has serious implications…

This paper analyzes the suitability of reinforcement learning (RL) for both programming and adapting situated agents. We discuss two RL algorithms: Q-learning and the Bucket Brigade. We introduce a special case of the Bucket Brigade, and analyze and compare its…

The Phase Space is a powerful tool for representing and reasoning about the qualitative behavior of nonlinear dynamical systems. Significant physical phenomena of the dynamical system---periodicity, recurrence, stability and the like---are reflected by outstanding geometric features of the trajectories in…