Neurobilingualism research has failed to reveal significant language differences in the processing of affective content. However, the evidence to date derives mostly from studies in which affective stimuli are presented out of context, which is unnatural and fails to capture the complexity of everyday sentence-based communication. Here we investigated semantic integration of affectively salient stimuli in sentential context in the first- and second-language (L2) of late fluent Polish–English bilinguals living in the UK. The 19 participants indicated whether Polish and English sentences ending with a semantically and affectively congruent or incongruent adjective of controlled affective valence made sense while undergoing behavioral and electrophysiological recordings. We focused on the N400, a wave of event-related potentials known to index semantic integration. We expected N400 amplitude to index increased processing demands in L2 English comprehension and potential language–valence interactions to reveal differences in affective processing between languages. Contrary to our initial expectation, we found increased N400 for sentences in L1 Polish, possibly driven by greater affective salience of sentences in the native language. Critically, language interacted with affective valence, such that N400 amplitudes were reduced for English sentences ending in a negative fashion as compared to all other conditions. We interpreted this as a sign that bilinguals suppress L2 content embedded in naturalistic L2 sentences when it has negative valence, thus extending the findings of previous research on single words in clinical and linguistic research.

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Part 1: AlgorithmsInternational audienceDistribution companies, in order to maintain a competitive advantage, must demonstrate not only the quality of the offered goods, but also the speed of execution of orders. This article deals with the allocation of the available capacity of transport during the transportation of goods between companies. Solving the problem of optimization is offered by the chosen methods of an artificial intelligence, such as Tabu Search algorithm, greedy algorithm and Tabu Search using the results of the greedy algorithm. The results were compared with the actual results of one of the Dutch distribution companies

Part 4: Optimization, TuningInternational audienceThe paper presents genetic algorithms, their properties and capabilities in solving computational problems. Using a genetic algorithm an optimization task of transportation - production regard to the transport and processing of milk will be investigated. For the network of collection centers and processing plants (factories) the cost-optimal transportation plan regarding to raw materials to the relevant factories will be established. It is assumed that the functions defining the costs of processing are polynomials of the second degree. To solve the problem the program that uses genetic algorithms written in MATLAB will be used