Magnetic Resonance Imaging (MRI) is an important diagnostic imaging tool that has
seen rapid expansion in recent years with a commensurate increase in the number of
radiographers undertaking MRI scans. This imaging modality is a complex one and the strong

The mucosal environment in mammals is highly tolerogenic; however, after exposure to pathogens or danger signals, it is able to shift towards an inflammatory response. Dendritic cells (DCs) orchestrate immune responses and are highly responsible, through the secretion of cytokines…

Purpose: A number of studies and writings have presented ideas about new working practices that might be embraced in the twenty-first century. Moreover, that, employers would seek to gain their commitment by adopting the high working practices of high performance…

The ability of building robust semantic space representations of environments is crucial for the development of truly autonomous robots. This task, inherently connected with cognition, is traditionally achieved by training the robot with a supervised learning phase. We argue that…

To demonstrate that parsimony analysis of endemicity (PAE) can be a method implementing the panbiogeographic approach, we analyzed two data matrices of 40/38 biogeographic provinces x 148 plant species from the Caribbean subregion of the Neotropical region, one where taxa…

The experimental results of diffraction efficiency as a function of the geometrical disposition of recording beams in bleached silver halide transmission thick-holographic gratings are presented. Two variables have been used to relate these results with certain geometric parameters. These variables…

A statistical model is used to study the formation of noise gratings in holograms and the mechanism that causes radiation scattering in them. The theoretical model presented describes noise scattering in terms of diffraction due to the high number of…

In real-time Multi-Agent Systems, Real-Time Agents merge intelligent deliberative techniques with real-time reactive actions in a distributed environment. CBR has been successfully applied in Multi-Agent Systems as deliberative mechanism for agents. However, in the case of Real-Time Multi-Agent Systems the…

This paper describes a multi-agent based simulation (MABS) framework to construct an artificial electric power market populated with learning agents. The artificial market, named TEMMAS (The Electricity Market Multi-Agent Simulator), explores the integration of two design constructs: i) the specification…

Drawing partly on personal experience, the author of this article seeks to unpack the expertise that service users bring to the design and delivery of mental health services. Service user involvement cannot be imposed by policy diktat from above, she…