Quantifying Quantum Correlations in Fermionic Systems using Witness Operators

We present a method to quantify quantum correlations in arbitrary systems of indistinguishable fermions using witness operators. The method associates the problem of finding the optimal entan- glement witness of a state with a class of problems known as semidefinite programs (SDPs), which can be solved efficiently with arbitrary accuracy. Based on these optimal witnesses, we introduce a measure of quantum correlations which has an interpretation analogous to the Generalized Robust- ness of entanglement. We also extend the notion of quantum discord to the case of indistinguishable fermions, and propose a geometric quantifier, which is compared to our entanglement measure. Our numerical results show a remarkable equivalence between the proposed Generalized Robustness and the Schliemann concurrence, which are equal for pure states. For mixed states, the Schliemann con- currence presents itself as an upper bound for the Generalized Robustness. The quantum discord is also found to be an upper bound for the entanglement.Comment: 7 pages, 6 figures, Accepted for publication in Quantum Information Processin

Discovery of a single male Aedes aegypti (L.) in Merseyside, England

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Efeito de fertilizantes nitrogenados na produtividade de melão

Em Petrolina, PE, foi realizado um estudo com a cultura do melão (Cucumis melo L.), Valenciano Amarelo, num Latossolo, para avaliar o efeito de fontes de fertilizantes nitrogenados e de suas combinações. O delineamento experimental foi em blocos casualizados com arranjo em faixa, com quatro repetições e nove tratamentos englobando a testemunha e os fertilizantes nitrogenados na dose de 80 kg/ha de N, aplicados no solo e, ou, via água de irrigação, por um período de 42 dias após a germinação. Esses tratamentos foram: Uréia e Sulfato de Amônio isolados; Uréia (15 dias) + Nitrato de Potássio (16-42 dias); Uréia (15 dias) + Sulfato de Amônio (16-42 dias); Uréia (30 dias) + Nitrato de Potássio (31-42 dias); Uréia (15 dias) + Sulfato de Amônio (16-30 dias) + Nitrato de Potássio (31-42 dias). A uréia aplicada via fertirrigação até 42 dias proporcionou maior rendimento (31,14 t/ha), embora não estatisticamente diferente dos demais tratamentos. A testemunha e o sulfato de amônio mostraram-se menos produtivos, com rendimentos de 25,06 e 24,65 t/ha, respectivamente. O peso médio do fruto variou de 1,63 a 1,84 kg/fruto, e o teor de sólidos solúveis totais, de 12,1 a 13,1 ºBrix; não se verificaram diferenças estatísticas

TRY plant trait database – enhanced coverage and open access

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives