This article uses grounded theory methods to research the history of a therapeutic community and highlights the possibilities of ‘being able to learn’ as an aim for history of medicine research. For this case study, processes of research and learning allow consideration of the ‘dilemma of paternalism’ and the interaction between history, policy and practice. How can students enter into discours...

We develop distributed algorithms for self-reconfiguring sensor networks that respond to directing a target through a region. The sensor network models the danger levels sensed across its area and has the ability to adapt to changes. It represents the danger areas as obstacles. A protocol that combines the artificial potential field of the sensors with the goal location for the moving object gu...

Computing fire danger and fire risk on a spatio-temporal scale is of crucial importance in fire management planning, and in the simulation of fire growth and development across a landscape. However, due to the complex nature of forests, fire risk and danger potential maps are considered one of the most difficult thematic layers to build up. Remote sensing and digital terrain data have been intr...

landslide like phenomena such as earthquake, flood, and volcano eruption are considered as the important natural events which happen every year in the mountainous and the elevated regions of the country and incur substantial damages and losses. today, in the countries involved with the issue of earthquake sliding, there is an increasing tendency in evaluating and zoning of the danger and damage...

Existing artificial immune optimization algorithms reflect a number of shortcomings, such as premature convergence and poor local search ability. This paper proposes a danger-theory-based immune network optimization algorithm, named dt-aiNet. The danger theory emphasizes that danger signals generated from changes of environments will guide different levels of immune responses, and the areas aro...

This study looks at perceptions of safety and danger regarding crime in Medellín, Colombia. I used two different datasets to look at this issue in both the specific situations that incite fear of crime and in the broader context of perceived safety and danger across the city as a whole. The first dataset comes from 42 interviews that I conducted with university students in May of 2009. The inte...

A primary challenge from the relativist to the contextualist about epistemic modals is to explain eavesdropping data—i.e., why the eavesdropper is inclined to judge the speaker as having uttered an epistemic modal falsehood (when she is so inclined), even though the speaker’s utterance is true according to reasonable contextualist truth conditions. The issue turns in large part on the strength ...

We present future fire danger scenarios for the countries bordering the Mediterranean areas of Europe and north Africa building on a multi-model ensemble of state-of-the-art regional climate projections from the EU-funded project ENSEMBLES. Fire danger is estimated using the Canadian Forest Fire Weather Index (FWI) System and a related set of indices. To overcome some of the limitations of ENSE...