Necessidades de pesquisa e desenvolvimento no Brasil nas culturas da banana e do mamão - percepções das cadeias produtivas.

Para que as ações de pesquisa e desenvolvimento (P&D) de instituições públicas sejam melhor direcionadas às demandas do setor produtivo, é necessária interação direta com o mesmo. Em 2011 ocorreram no Brasil dois importantes encontros das cadeias produtivas da banana e do mamão: o Simpósio Internacional Promusa ? ISHS ? Bananas e Plátanos: Produção global sustentável e usos alternativos; o Papaya Brasil 2011 ? V Simpósio do Papaya Brasileiro. Os dois eventos reuniram uma série de especialistas, produtores, extensionistas, representantes dos setores de insumos e pesquisadores envolvidos com essas culturas

Brazilian vaccinia virus strains show genetic polymorphism at the ati gene.

Nucleotide sequence comparison of the internal region of the ati gene of members of the Orthopoxvirus genera revealed that this gene is variable among different species, although within members of the same species it is considered to be well conserved. Previous studies indicated that there is genetic variability in the ati gene among some Brazilian Vaccinia virus strains. To further investigate this variability, we performed molecular analysis of the internal region of the ati gene of eight Brazilian Vaccinia virus strains. While the internal region of this gene in one strain was similar to the Western Reserve strain, four strains presented two blocks of deletions in the analyzed region, and the ati gene was almost entirely deleted from three other strains. These findings demonstrate that there is genetic polymorphism within the ati gene among different Brazilian Vaccinia virus strains

Quality of different tropical fruit cultivars produced in the Lower Basin of the São Francisco Valley.

The present study evaluated the physical, physico-chemical and chemical characteristics of fruit from commercial cultivars of the mango, acerola, guava, atemoya and custard apple, produced in the Lower Basin of the São Francisco Valley. Fruit harvested in commercial areas of the region were evaluated for weight, length, diameter, colouration of the peel and pulp, firmness, pH, titratable acidity (TA), soluble solids (SS), SS to TA ratio, and levels of total soluble sugars, reducing sugars, starch and pectic substances. The data were subjected to descriptive statistical analysis. Fruits from cultivars of the guava (Paluma, Rica and Pedro Sato), the custard apple and atemoya display a high level of pectic substances, a characteristic which favours industrial use. In the mango, a high level of pectic substances was noted in fruit of the cultivars Kent, Espada, Tommy Atkins and Van Dyke. Fruits of the acerola cultivar Costa Rica show high SS content and a low AT, favouring consumption in natura

Mandibular osteolytic lesion associated with exuberant hyaline ring granuloma reaction

To report an unusual case of oral hyaline ring granuloma (HRG) that caused an extensive osteolytic lesion. A 22-year-old female was referred to our hospital with a large expansile cystic lesion in the left mandibular ramus associated with a clinically visible, partially erupted third molar. A diagnosis of paradental cyst was made. After marsupialization of the lesion, histopathological analysis of the surgical specimen showed an unusual exuberant HRG reaction supported by scarce fibrous stroma. This was a case of exuberant HRG reaction that caused extensive bone destruction25439139

Exploring the spectroscopic diversity of type Ia supernovae with DRACULA: a machine learning approach

The existence of multiple subclasses of type Ia supernovae (SNeIa) has been the subject of great debate in the last decade. One major challenge inevitably met when trying to infer the existence of one or more subclasses is the time consuming, and subjective, process of subclass definition. In this work, we show how machine learning tools facilitate identification of subtypes of SNeIa through the establishment of a hierarchical group structure in the continuous space of spectral diversity formed by these objects. Using Deep Learning, we were capable of performing such identification in a 4 dimensional feature space (+1 for time evolution), while the standard Principal Component Analysis barely achieves similar results using 15 principal components. This is evidence that the progenitor system and the explosion mechanism can be described by a small number of initial physical parameters. As a proof of concept, we show that our results are in close agreement with a previously suggested classification scheme and that our proposed method can grasp the main spectral features behind the definition of such subtypes. This allows the confirmation of the velocity of lines as a first order effect in the determination of SNIa subtypes, followed by 91bg-like events. Given the expected data deluge in the forthcoming years, our proposed approach is essential to allow a quick and statistically coherent identification of SNeIa subtypes (and outliers). All tools used in this work were made publicly available in the Python package Dimensionality Reduction And Clustering for Unsupervised Learning in Astronomy (DRACULA) and can be found within COINtoolbox (https://github.com/COINtoolbox/DRACULA).Comment: 16 pages, 12 figures, accepted for publication in MNRA