Aprendizaje de algoritmia mediante desafíos de programación

Esta presentación describe las características de un sistema de autoevaluación de código, similar a los utilizados en los concursos de programación, que permite a los estudiantes aplicar los conocimientos teóricos de la disciplina de algoritmia para resolver problemas prácticos y, a la vez, reforzar las competencias generales de programación adquiridas en cursos previos. La experiencia de varios cursos en su aplicación demuestra que la utilización de un sistema competitivo introduce un aliciente adicional para la realización de los ejercicios.Peer Reviewe

Aprendizaje de algoritmia mediante desafíos de programación

Esta presentación describe las características de un sistema de autoevaluación de código, similar a los utilizados en los concursos de programación, que permite a los estudiantes aplicar los conocimientos teóricos de la disciplina de algoritmia para resolver problemas prácticos y, a la vez, reforzar las competencias generales de programación adquiridas en cursos previos. La experiencia de varios cursos en su aplicación demuestra que la utilización de un sistema competitivo introduce un aliciente adicional para la realización de los ejercicios

Aprendizaje de algoritmia mediante desafíos de programación

Esta presentación describe las características de un sistema de autoevaluación de código, similar a los utilizados en los concursos de programación, que permite a los estudiantes aplicar los conocimientos teóricos de la disciplina de algoritmia para resolver problemas prácticos y, a la vez, reforzar las competencias generales de programación adquiridas en cursos previos. La experiencia de varios cursos en su aplicación demuestra que la utilización de un sistema competitivo introduce un aliciente adicional para la realización de los ejercicios.Peer Reviewe

Alicante)

In this paper we will present the result of the interactive CLEF experiment at the University of Alicante. Our aim was to compare two interactive approaches: one based on passages (presented at the iCLEF 2002 [5]), and a new interactive approach based on syntactic semantic patterns. These patterns are composed by the main verb of a sentence plus its arguments, and they are extracted automatically from the passages. With this, these patterns show only the basic information of each sentence. The objective was to know which of these approaches is most useful and fast in the selection of relevant documents by the user in a language different than one of the query (and of the user). The results show that both approach are useful, but the approach based on syntactic semantic patterns is, in the majority of cases, more fast. Finally, with these approaches we avoid the use of Machine Translation systems, due to the problems that they have in Interactive Cross-Language Information Access tasks.

Characterization of the organic contamination pattern of a hyper-saline ecosystem by rapid screening using gas chromatography coupled to high-resolution time-of-flight mass spectrometry

In this paper, gas chromatography coupled to high-resolution time-of-flight mass spectrometry (GC–TOF MS) has been applied to evaluate organic pollution in a hyper-saline aquatic environment. Firstly, a target screening was made for a list of 150 GC-amenable organic micro-contaminants, including PAHs, octyl/nonyl phenols, PCBs, PBDEs, and a notable number of pesticides, such us insecticides (organochlorines, organophosphorus, carbamates and pyrethroids), herbicides (triazines and chloroacetanilides), fungicides and several transformation products. This methodology was applied to brine samples, with a salt content from 112 g/L to saturation, and to samples from Artemia populations (crustacean Anostraca) collected during 1 year from three sampling stations in saltworks bodies sited in the Ebro river delta. Around 50 target contaminants, belong to chemical families included in the list of priority substances within the framework on European water policy. Additionally, a non-target analysis was performed in both types of samples with the objective of investigating the presence of other non-selected organic compounds taking advantage of the potential of GC–TOF MS (high sensitivity in full-spectrum acquisition mode, accurate mass measurements) for searching unknowns. Organophosphorus pesticides were the contaminants more frequently detected in brine samples. Other compounds usually present in urban and industrial wastewaters, like caffeine, methylparaben, butylated-hydroxytoluene and N-butylbenzenesulfonamide were also detected in brines. The herbicide simazine and the insecticide chlorpyrifos were among the contaminants detected in Artemia samples. Results of this work reveal a potential threat to vulnerable populations inhabiting the hyper-saline ecosystem. The valuable contribution of GC–TOF MS in environmental analysis, allowing the rapid screening of a large number of organic contaminants, is also demonstrated in this paper