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Many researchers have focussed their efforts in developing collaborative recommender systems. It has been proved that the use of collaboration in such systems improves its performance, but what is not known is how this collaboration is done and what is more important, how it has to be done in order to optimise the information exchange. The collaborative(More)
BACKGROUND This research investigated the proposal that children with autism are impaired in processing information in its context. To date, this proposal rests almost exclusively on evidence from verbal tasks. Given evidence of visuo-spatial proficiency in autism in other areas of functioning, it is possible that the ability to use context is spared in the(More)
We introduce a case-based system, BOLERO, that learns both plans and goal states. The major aim is that of improving the performance of a rule-based diagnosis system by adapting its behavior using the most recent information available about a patient. On the one hand BOLERO gets knowledge from cases in the form of diagnostic plans that are represented as(More)
An in-house mycobacteriophage amplification assay for detecting rifampin-resistant Mycobacterium tuberculosis showed 100% sensitivity, 97.7% specificity, and 95.2% predictive value for resistance in a test of 129 isolates from a hot spot area of multidrug-resistant M. tuberculosis. The applicability of the test was demonstrated in the routine work flow of a(More)
The identification of mycobacterial species in clinical isolates is essential for making patient care decisions. Polymerase chain reaction (PCR) restriction enzyme analysis (PRA) is a simple and rapid identification method, based on amplification of 441 bp of the hsp65 gene and restriction with BstEII and HaeIII. As a contribution to the validation of PRA,(More)
Trust is one of the most important social concepts that helps human agents to cope with their social environment and is present in all human interaction. Like in real world, agents should rely in some agents and mistrust in other ones to achieve a purpose. In this paper we develop a model of trust in the collaborative world as a new approach of recommender(More)
Recommender systems help users to identify particular items that best match their tastes or preferences. When we apply the agent theory to this domain, a standard centralized recommender system becomes a distributed world of recommender agents. Therefore, due to the agent's world, a new information filtering method appears: the opinion-based filtering(More)
The tuberculosis (TB) epidemic is fueled by a parallel Human Immunodeficiency Virus (HIV) epidemic, but it remains unclear to what extent the HIV epidemic has been a driver for drug resistance in Mycobacterium tuberculosis (Mtb). Here we assess the impact of HIV co-infection on the emergence of resistance and transmission of Mtb in the largest outbreak of(More)
Novel multifunctional compounds have been designed, synthesized, and evaluated as potential drugs for the treatment of Alzheimer's disease (AD). With an L-glutamic moiety as a suitable biocompatible linker, three pharmacophoric groups were joined: (1) an N-benzylpiperidine fragment selected to inhibit acetylcholinesterase by interacting with the catalytic(More)
The ability to express and recognise emotions is a fundamental element of human social interaction. With regard to web services, user requirements can be forgotten and forsaken when the user's emotional needs are satisfied. The question, then, is how to improve recommender systems, and make them more pleasant to the user through the perception of his/her(More)