Etrace Express: software for risk analysis of trace elements in inorganic fertilizers - user's manual and reference guide.

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Minimal Absent Words in Four Human Genome Assemblies

Minimal absent words have been computed in genomes of organisms from all domains of life. Here, we aim to contribute to the catalogue of human genomic variation by investigating the variation in number and content of minimal absent words within a species, using four human genome assemblies. We compare the reference human genome GRCh37 assembly, the HuRef assembly of the genome of Craig Venter, the NA12878 assembly from cell line GM12878, and the YH assembly of the genome of a Han Chinese individual. We find the variation in number and content of minimal absent words between assemblies more significant for large and very large minimal absent words, where the biases of sequencing and assembly methodologies become more pronounced. Moreover, we find generally greater similarity between the human genome assemblies sequenced with capillary-based technologies (GRCh37 and HuRef) than between the human genome assemblies sequenced with massively parallel technologies (NA12878 and YH). Finally, as expected, we find the overall variation in number and content of minimal absent words within a species to be generally smaller than the variation between species

Minimal Absent Words in Prokaryotic and Eukaryotic Genomes

Minimal absent words have been computed in genomes of organisms from all domains of life. Here, we explore different sets of minimal absent words in the genomes of 22 organisms (one archaeota, thirteen bacteria and eight eukaryotes). We investigate if the mutational biases that may explain the deficit of the shortest absent words in vertebrates are also pervasive in other absent words, namely in minimal absent words, as well as to other organisms. We find that the compositional biases observed for the shortest absent words in vertebrates are not uniform throughout different sets of minimal absent words. We further investigate the hypothesis of the inheritance of minimal absent words through common ancestry from the similarity in dinucleotide relative abundances of different sets of minimal absent words, and find that this inheritance may be exclusive to vertebrates

Etrace Express: programa para análise de risco de elementos-traço em fertilizantes inorgânicos - manual e guia de referência.

bitstream/item/77787/1/doc-290.pd

Artificial neural network model applied to a PEM fuel cell

This study proposes the simulation of PEM fuel cell polarization curves using artificial neural networks (ANN). Fuel cell performance can be affected by numerous parameters, namely, reactants pressure, humidification temperature, stoichiometric flow ratios and fuel cell temperature. In this work, the influence of relative humidity (RH) of the gases, as well as gases and fuel cell temperatures was studied. A feedforward ANN with three layers was applied to predict the influence of those parameters, simulating the voltage of a fuel cell of 25 cm(2) area. Different ANN models were tested, varying the number of neurons in the hidden layer (1 to 6). The model performance was evaluated using the Pearson correlation coefficient (R) and the index of agreement of the second order (d(2)). The results showed that feedforward ANN can be used with success in order to obtain the optimal operating conditions to improve PEM fuel cell performance

Monitoramento de qualidade de água das atividades aquícolas em reservatórios continentais brasileiros.

Introdução. Impactos da aquicultura na qualidade de água de reservatórios. O processo de eutrofização. Particularidades dos ciclos biogeoquímicos em reservatórios. O fósforo nas águas. Dinâmica do nitrogênio nos ecossistemas aquáticos. Parâmetros de qualidade de água, periodicidade e pontos de coleta para monitoramento da aquicultura em reservatórios continentais segundo a legislação. Processos hidrodinâmicos em reservatórios continentais. Metodologia para avaliação da área de influência de atividade aquícola - Estudo de Caso do Reservatório da PCH Lagoa Grande. Coletas de Água em Campo. Análises laboratoriais. Interpretação de dados de qualidade de água da aquicultura em reservatórios continentais. Análise Temporal de Qualidade de Água. Análise Espacial de Qualidade de Água. Índices de qualidade de água comumente utilizados para reservatórios. Índice de Estado Trófico - IET. Índice de Qualidade de Água para Reservatórios ? IQAR. Índice da Comunidade Zooplanctônica para Reservatórios (ICZ RES). Considerações finais. Referências.bitstream/item/157277/1/CNPASA-2016-dc32.pd

Sustainable development, poverty eradication and reducing inequalities

This chapter takes sustainable development as the starting point and focus for analysis. It considers the broad and multifaceted bi-directional interplay between sustainable development, including its focus on eradicating poverty and reducing inequality in their multidimensional aspects, and climate actions in a 1.5°C warmer world. These fundamental connections are embedded in the Sustainable Development Goals (SDGs). The chapter also examines synergies and trade-offs of adaptation and mitigation options with sustainable development and the SDGs and offers insights into possible pathways, especially climate-resilient development pathways towards a 1.5°C warmer world

ROBO2 is a stroma suppressor gene in the pancreas and acts via TGF-β signalling.

Whereas genomic aberrations in the SLIT-ROBO pathway are frequent in pancreatic ductal adenocarcinoma (PDAC), their function in the pancreas is unclear. Here we report that in pancreatitis and PDAC mouse models, epithelial Robo2 expression is lost while Robo1 expression becomes most prominent in the stroma. Cell cultures of mice with loss of epithelial Robo2 (Pdx1Cre;Robo2F/F) show increased activation of Robo1+ myofibroblasts and induction of TGF-β and Wnt pathways. During pancreatitis, Pdx1Cre;Robo2F/F mice present enhanced myofibroblast activation, collagen crosslinking, T-cell infiltration and tumorigenic immune markers. The TGF-β inhibitor galunisertib suppresses these effects. In PDAC patients, ROBO2 expression is overall low while ROBO1 is variably expressed in epithelium and high in stroma. ROBO2low;ROBO1high patients present the poorest survival. In conclusion, Robo2 acts non-autonomously as a stroma suppressor gene by restraining myofibroblast activation and T-cell infiltration. ROBO1/2 expression in PDAC patients may guide therapy with TGF-β inhibitors or other stroma /immune modulating agents