Stages for the More Sustainable Farm

Currently, agricultural farm units are faced with a double and most times contradictory challenge, in order to be successful: on the one hand the invested capital has to be profitable and the economic performance has to be maximised. On the other hand, given the socio-environmental situation, it is necessary to preserve and to protect the environment and natural resources. Given the potential conflict of the two aims, since the satisfaction of one implies the underperformance of the other (and vice versa), the question then is: which is the solution to choose? We intend, in this work, to formulate a farm plan with the purpose of reconciling the criteria of environmental sustainability with that of economic competitiveness. For this achievement we proceed to the comparative study of sustainability of different groups of farms identified in the study area (first evaluation cycle) through MESMIS (“Marco para la Evaluación de Sistemas de Manejo de Recursos Naturales Mediante Indicadores de Sustentabilidad” - Framework for Evaluation of Natural-Resource Systems Handling through Sustainability Indicators) methodology, that allowed to select the more sustainable group of farms. Based on the found potentialities and weakness on these production systems, we stepped to the planning of a production unit of bovine meat, which obeys simultaneously to economic and environmental objectives, using Multicriteria Decision. We finished the work with the sustainability evaluation between groups of farms identified previously and the planned farms (second evaluation cycle), based, again, in the MESMIS methodology, to confirm (or not) the greatest sustainability of the last ones. Analyses of the results allow us to confirm the greatest relative sustainability of the planned farm, for the diverse traced scenarios.Decision taking, planning, sustainability, Environmental Economics and Policy, Farm Management,

Character-level Intra Attention Network for Natural Language Inference

Natural language inference (NLI) is a central problem in language understanding. End-to-end artificial neural networks have reached state-of-the-art performance in NLI field recently. In this paper, we propose Character-level Intra Attention Network (CIAN) for the NLI task. In our model, we use the character-level convolutional network to replace the standard word embedding layer, and we use the intra attention to capture the intra-sentence semantics. The proposed CIAN model provides improved results based on a newly published MNLI corpus.Comment: EMNLP Workshop RepEval 2017: The Second Workshop on Evaluating Vector Space Representations for NL

Chinese–Spanish neural machine translation enhanced with character and word bitmap fonts

Recently, machine translation systems based on neural networks have reached state-of-the-art results for some pairs of languages (e.g., German–English). In this paper, we are investigating the performance of neural machine translation in Chinese–Spanish, which is a challenging language pair. Given that the meaning of a Chinese word can be related to its graphical representation, this work aims to enhance neural machine translation by using as input a combination of: words or characters and their corresponding bitmap fonts. The fact of performing the interpretation of every word or character as a bitmap font generates more informed vectorial representations. Best results are obtained when using words plus their bitmap fonts obtaining an improvement (over a competitive neural MT baseline system) of almost six BLEU, five METEOR points and ranked coherently better in the human evaluation.Peer ReviewedPostprint (published version

UPC-BMIC-VDU system description for the IWSLT 2010: testing several collocation segmentations in a phrase-based SMT system

This paper describes the UPC-BMIC-VMU participation in the IWSLT 2010 evaluation campaign. The SMT system is a standard phrase-based enriched with novel segmentations. These novel segmentations are computed using statistical measures such as Log-likelihood, T-score, Chi-squared, Dice, Mutual Information or Gravity-Counts. The analysis of translation results allows to divide measures into three groups. First, Log-likelihood, Chi-squared and T-score tend to combine high frequency words and collocation segments are very short. They improve the SMT system by adding new translation units. Second, Mutual Information and Dice tend to combine low frequency words and collocation segments are short. They improve the SMT system by smoothing the translation units. And third, Gravity- Counts tends to combine high and low frequency words and collocation segments are long. However, in this case, the SMT system is not improved. Thus, the road-map for translation system improvement is to introduce new phrases with either low frequency or high frequency words. It is hard to introduce new phrases with low and high frequency words in order to improve translation quality. Experimental results are reported in the Frenchto- English IWSLT 2010 evaluation where our system was ranked 3rd out of nine systems.Postprint (published version

Using collocation segmentation to augment the phrase table

This paper describes the 2010 phrase-based statistical machine translation system developed at the TALP Research Center of the UPC1 in cooperation with BMIC2 and VMU3. In phrase-based SMT, the phrase table is the main tool in translation. It is created extracting phrases from an aligned parallel corpus and then computing translation model scores with them. Performing a collocation segmentation over the source and target corpus before the alignment causes that di erent and larger phrases are extracted from the same original documents. We performed this segmentation and used the union of this phrase set with the phrase set extracted from the nonsegmented corpus to compute the phrase table. We present the con gurations considered and also report results obtained with internal and o cial test sets.Postprint (published version

Superando el concepto de nativo digital. Análisis de las prácticas digitales del estudiantado universitario

A lo largo de la última década, niños y jóvenes han sido etiquetados como nativos digitales. Se considera que cualquier persona nacida a partir de la década de los 80 es hablante nativo de una lengua digital basada en el uso de los ordenadores, los videojuegos e Internet. De todos modos, algunos autores cuestionan este concepto ¿se trata realmente de jóvenes que aprenden de modo distinto, o simplemente incorporan algunas herramientas y procedimientos nuevos a su forma de acceder a la información y socializarse? El artículo presenta los resultados de una investigación (Usos de las TIC entre los estudiantes universitarios: perspectiva académica y social de los procesos de aprendizaje mediados. EDU2009-12125) centrada en el uso de las TIC que hacen los jóvenes universitarios de las diferentes universidades de Cataluña. Los resultados revelan distintos usos de las tecnologías, diferenciados por los ámbitos de uso y se alinean en las visiones críticas del concepto de nativo digital. La relevancia de los resultados apuntan a lineas emergentes de investigación para seguir mejorando la educación superior

Evolução da Sustentabilidade nas Regiões Vitícolas do Norte eAlentejo

The wine sector currently lacks nuclear fea-tures, which makes Portugal’s producing per-formance drift away from the frontline world-wide wine producers. The aim of this paper is to evaluate the evolution of the Portuguese wine industry’s performance through the world and national available statistical data. Also, this work tries to evaluate the sustainability dyna-mic regarding theNorth and Alentejo, using the Portuguese Farm Accountancy Data Network from 2001 to 2012. From the sustain-nability indicators, the results show that Alente-jo presents the best performance in terms of environmental sustainability. The North has an increasing economic dimension of sustainabil-ity and good social performance. The conclu-sions suggest that academic research can im-prove the wine industry’s overall orientation to sustainability.O setor vitivinícola carece atualmente de ca-racterísticas nucleares que fazem o desempenho produtivo do país afastar-se dos líderes da pro-dução mundial de vinho. O objetivo deste traba-lho consiste em avaliar a evolução do desempe-nho do setor vitivinícola português através dos dados estatísticos disponíveis, a nível mundial e nacional. Pretende-se ainda avaliar a dinâmica da sua sustentabilidade, no Norte e Alentejo, através dos dados da Rede de Informação de Contabilidade Agrícola de 2001 a 2012. Dos indicadores de sustentabilidade obtidos verifi-ca-se que o Alentejo obtém o melhor desempe-nho em termos de sustentabilidade ambiental. O Norte tem uma tendência para melhorar a di-mensão económica da sustentabilidade e revela bom desempenho social. As conclusões suge-rem que a investigação académica pode melho-rar a orientação geral desta indústria para a sua sustentabilidade.info:eu-repo/semantics/publishedVersio