A umbu-cajazeira (Spondias sp.) é uma frutífera nativa do Semiárido brasileiro, ainda em fase de domesticação, cujos frutos apresentam excelentes perspectivas de aproveitamento comercial. O objetivo deste trabalho foi caracterizar a variabilidade genética entre acessos de umbu-cajazeira pertencentes ao Banco Ativo de Germoplasma de Fruteiras Tropicais da Embrapa Mandioca e Fruticultura, por meio de marcadores moleculares ISSR (Inter Simple Sequence Repeat). Foram analisados 17 acessos de umbu-cajazeira, com 25 marcadores ISSR, os quais produziram um total de 249 bandas, sendo 201 bandas polimórficas e 48 monomórficas. As dissimilaridades genéticas entre os acessos variaram de 0,247 a 0,665, com base no coeficiente de Jaccard. O método UPGMA (Unweighted Pair-Group Method Average) agrupou os acessos em cinco grupos, sendo que 'Preciosa' e 'Suprema' foram os acessos mais similares. A maior dissimilaridade foi observada entre os acessos 'Esperança' e 'Pomar'. O alto grau de polimorfismo encontrado demonstrou a eficiência dos marcadores ISSR, indicando que estes podem ser utilizados com sucesso na caracterização molecular de germoplasma e em futuros trabalhos de melhoramento genético dessa frutífera. Existe considerável variabilidade genética entre os acessos de umbu-cajazeira presentes no BAG Fruteiras Tropicais, que pode ser explorada para a conservação e o melhoramento da espécie.

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Different studies investigate the use of waste glass in Portland cement compounds, either as aggregates or as supplementary cementitious materials. Nevertheless, it seems that there is no consensus about the influence of particle color and size on the behavior of the compounds. This study addresses the influence of cement replacement by 10 and 20% of the colorless and amber soda-lime glass particles sized around 9.5 m on the performance of Portland cement mortars. Results revealed that the partial replacement of cement could contribute to the production of durable mortars in relation to the inhibition of the alkali-aggregate reaction. This effect was more marked with 20% replacement using amber glass. Samples containing glass microparticles were more resistant to corrosion, in particular those made of colorless glass. The use of colorless and amber glass microparticles promoted a reduction in wear resistance.

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Data analysis of public transportation data in large cities is a challenging problem. Managing data ingestion, data storage, data quality enhancement, modelling and analysis requires intensive computing and a non-trivial amount of resources. In EUBra-BIGSEA (Europe-Brazil Collaboration of Big Data Scientic Research Through Cloud-Centric Applications), we address such problems in a comprehensive and integrated way. EUBra-BIGSEA provides a platform for building up data analytic workows on top of elastic cloud services without requiring skills related to either programming or cloud services. The approach combines cloud orchestration, Quality of Service and automatic parallelisation on a platform that includes a toolbox for implementing privacy guarantees and data quality enhancement as well as advanced services for sentiment analysis, trac jam estimation and trip recommendation based on estimated crowdedness. All developments are available under Open Source licenses (