A novel integer sorting technique was proposed replacing bucket sort, distribution counting sort and address calculation sort family of algorithms which requires only constant amount of additional memory. The technique was inspired from one of the ordinal theories of “serial order in behavior” and explained by the analogy with the three main stages in the formation and retrieval of memory in co...

The theoretical study of the relational model of data is ongoing and highly developed. Yet the vast majority of real databases include incomplete data, and the incomplete data is widely modelled using special values called nulls. As noted many times by Date and others, the inclusion of special values is not compatible with the relational model and invalidates many of the theoretical results. In...

In the first place, a novel, yet straightforward in-place integer value-sorting algorithm is presented. It sorts in linear time using constant amount of additional memory for storing counters and indices beside the input array. The technique is inspired from the principal idea behind one of the ordinal theories of “serial order in behavior” and explained by the analogy with the three main stage...

Information theory - in particular mutual information- has been widely used to investigate neural processing in various brain areas. Shannon mutual information quantifies how much information is, on average, contained in a set of neural activities about a set of stimuli. To extend a similar approach to single stimulus encoding, we need to introduce a quantity specific for a single stimulus. Thi...

Retirees represent a strategic issue for rural areas as their numbers grow in proportion to the total population. In order to assess their impact on economic development, a hybrid model, a mixture of Keynesian and economic base theories, was constructed. It was applied to three communities of the South of France. The model was adapted to estimate the impact of a particularly heterogeneous popul...

In recent years a wealth of studies have focused on the role of the Hippocampus in spatial learning and navigation, triggered by the finding of place sensitive cells in this area. These cells have been interpreted as being responsible for coding a representation of space [9, 10]. Even though the term place cell suggests that location is the unique determinant of firing of hippocampal cells, the...

AUTHOR'S NOTE: I would like to thank all those at my research site, particularly the programmers in Administrative Computing Services (ACS), for putting up with my questions, and for letting me 'hang around' during what had to be the busiest and most chaotic six month period in the department's history. I would also like to acknowledge the support of the UK Economic & Social Research Council (E...

This paper describes a computational model of spatial learning and localization. The model is based on the suggestion (based on a large body of experimental data) that rodents learn metric spatial representations of their environments by associating sensory inputs with dead-reckoning based position estimates in the hippocampal place cells. Both these sources of information have some uncertainty...

The next generation of control systems are likely to be characterised by much higher integration, where common / shared computer resources perform multiple system functions. It is possible to reconfigure such systems to provide continued functionality when an element of the system fails. To achieve this aim a number of pre-requisites must be in-place: the ability to determine when a failure has...

What is the interaction between competition, R&D investments, and the financing choices of R&D-intensive firms? Motivated by existing theories, we hypothesize that as competition increases, R&D-intensive firms will: (1) increase R&D investment relative to assets-in-place that support existing products; (2) carry more cash; and (3) maintain less net debt. We provide causal evidence supporting th...