Spatial and situational awareness could be decreased significantly under low visibility and adverse weather conditions. This could affect exponentially the reactions of the older drivers and increase dramatically their collision probability. To this end we developed a novel Head-Up Display interface that aims to reinstate the drivers’ vision which is predominantly hindered under these condition...

Graph languages defined by hyperedge replacement grammars can be NP-complete. We study predictive shift-reduce (PSR) parsing for a subclass of these grammars, which generalizes the concepts of SLR(1) string parsing to graphs. PSR parsers run in linear space and time. In comparison to the predictive top-down (PTD) parsers recently developed by the authors, PSR parsing is more efficient and more ...

This paper describes a series of experiments aimed at producing a bot tom-up parser that will produce partial parses suitable for use in robust interpretation and still be reasonably efficient. In the course of these experiments, we improved parse times by a factor of 18 over our first a t tempt, ending with a system that was twice as fast as our previous parser, which relied on strong top-down...

This paper highlights the need for carriers to be followed up by health professionals who understand the complexities of the BRCA syndrome. A BRCA carrier clinic has been established in London and regular follow up is an essential part of the care for families. An open door policy has been set up for patients who may meet or telephone the cancer genetic nurse specialist for support and care at ...

METHODS MEDLINE surveys were carried out and reference lists were cross-checked to identify publications on long-term outcome for dietary treatment of obesity. 898 papers were identified, 17 fulfilled our planned criteria for inclusion (dietary treatment; adults; follow-up period > or = 3 years; follow-up rate > or = 50% of original study group; information on one of the success criteria: maint...

We present a tabular interpretation for a class of 2{Stack Automata that may be used to describe bottom-up parsing strategies for TAGs. The results are also useful for tabulating other existing bottom-up automata models for this kind of languages.