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14.384  Articles
Healthy systems exhibit complex dynamics on the changing of information embedded in physiologic signals on multiple time scales that can be quantified by employing multiscale entropy (MSE) analysis. Here, we propose a measure of complexity, called entropy... see more

The presence of disability, an embodied form of extreme vulnerability that is socially enacted, introduces into complex systems such as education or society, a perturbation, embodied agents that are biologically and socially constructed as being 'unfit', ... see more

This work starts stating the great increase of pharmacological studies associated with pharmacogenetic studies without clear knowledge of their consequences. The first challenge is to find out whether pharmacogenetic studies have greater implications than... see more

In this work, a vision is proposed from a complexity viewpoint about the systematic implications of human genome manipulation. Evolution is the central biological process that helps us understand the diversity of the living world. Today, it is held as the... see more

In this paper, a biologically-inspired distributed intelligent control methodology is proposed to overcome the challenges, i.e., networked imperfections and uncertainty from the environment and system, in networked multi-Unmanned Aircraft Systems (UAS) fl... see more

For years, links between entropy and information of a system have been proposed, but their changes in time and in their probabilistic structural states have not been proved in a robust model as a unique process. This document demonstrates that increasemen... see more

The role of health research ethics committees (RECs) has evolved dramatically over the past few decades. Novel and specialised research, multicentre trials across borders and commercially sponsored research, coupled with a huge increase in the number and ... see more

Artificial neural networks are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons). Artificial neural networks may either be used to gain an understanding of biological neural networks, o... see more

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