Experience with the Open Source based implementation for ATLAS Conditions Data Management System

Conditions Data in high energy physics experiments is frequently seen as every data needed for reconstruction besides the event data itself. This includes all sorts of slowly evolving data like detector alignment, calibration and robustness, and data from detector control system. Also, every Conditions Data Object is associated with a time interval of validity and a version. Besides that, quite often is useful to tag collections of Conditions Data Objects altogether. These issues have already been investigated and a data model has been proposed and used for different implementations based in commercial DBMSs, both at CERN and for the BaBar experiment. The special case of the ATLAS complex trigger that requires online access to calibration and alignment data poses new challenges that have to be met using a flexible and customizable solution more in the line of Open Source components. Motivated by the ATLAS challenges we have developed an alternative implementation, based in an Open Source RDBMS. Several issues were investigated land will be described in this paper: -The best way to map the conditions data model into the relational database concept considering what are foreseen as the most frequent queries. -The clustering model best suited to address the scalability problem. -Extensive tests were performed and will be described. The very promising results from these tests are attracting the attention from the HEP community and driving further developments.Comment: 8 pages, 4 figures, 3 tables, conferenc

Integrated bioprocess approach for the production of xylooligosaccharides

The demand of prebiotic ingredients has been growing over the years as consumers pay more attention to their health. Xylooligosaccharides (XOS) are considered emergent and competitively priced prebiotics, presenting high potential as food ingredients. As a result, the industry is focused on developing new approaches to improve their production efficiency to meet the increasing demand while reducing costs. Hence, the main purpose of this work was to develop an integrated bioprocess, based on one-step fermentation, for the production of prebiotic XOS, towards the simplification and cost reduction of the process. The one-step fermentation of 13 agro-residues was done using two Trichoderma species. The most promising results were found for T. reesei using brewers spent grain (BSG) as substrate. BSG is an inexpensive and abundant agroindustrial residue that was proven interesting for the production of arabino-xylooligosaccharides (AXOS). In order to reduce the production time obtained with T. reesei (3 d), the Bacillus subtilis 3610 wild type (wt) was successfully used to produce AXOS through direct fermentation of BSG, reducing the production time to 12 h. Genetic engineering was used to further optimize the microorganism performance, by cloning the T. reesei xylanase gene coupled with a secretion tag into the B. subtilis chromosome (B. subtilis 3610 clone 2). This strategy led to a yield increase of 33 % comparing to the wt, and 29 % comparing to the T. reesei. B. subtilis 3610 clone 2 was also selected for downscale production of XOS by direct fermentation of commercial beechwood xylan. The maximum production yield, 306 ± 4 mg/g (XOS/xylan), was achieved after 8 h of fermentation operating under one-time impulse fed-batch regimen. In vitro studies using human fecal inocula were performed to evaluate and compare the potential prebiotic effect of commercial lactulose and the XOS herein produced. The significant increase in the production of short chain fatty acids and CO2, added to the reduction of pH and ammonia concentration suggest that the XOS hold potential functional properties for human health. The results gathered provide important insights for the development of new integrated strategies for XOS production from agro-residues.info:eu-repo/semantics/publishedVersio

Hamiltonian embedding of the massive noncommutative U(1) theory

We show that the massive noncommutative U(1) can be embedded in a gauge theory by using the BFFT Hamiltonian formalism. By virtue of the peculiar non-Abelian algebraic structure of the noncommutative massive U(1) theory, several specific identities involving Moyal commutators had to be used in order to make the embedding possible. This leads to an infinite number of steps in the iterative process of obtaining first-class constraints. We also shown that the involutive Hamiltonian can be constructed.Comment: 8 pages, Revtex (multicol

Diversidade genética entre genótipos de bananeira detectada por marcadores SSR.

A bananicultura é uma atividade de elevada importância econômica e social, responde pela produção de alimento básico para as populações carentes de diversos países. O uso de técnicas que apresentem elevada reprodutibilidade e que sejam estáveis, como os microssatélites, são importantes, pois auxiliam na caracterização de espécies economicamente importantes como bananeiras e na criação de perfis moleculares de variedades (1)

Qualidade da água para consumo humano.

Água em quantidade e qualidade e de forma permanente; Doenças relacionadas à água; Valores de referência de qualidade da água; Formas de tratamento da água para consumo humano; Transporte e armazenamento da água no meio rural.bitstream/CPATSA/35649/1/SDC196.pd

Identificação dos tipos de rúcula comercializados no varejo do Distrito Federal.

bitstream/CNPH-2009/33441/1/bpd_34.pd

Caracterização dos maços de rúcula comercializados no Distrito Federal e estimativas de perdas.

bitstream/CNPH-2009/33444/1/bpd_35.pd

Comparison between cluster methods using simultaneous analysis of qualitative and quantitative data in bananas.

Understanding the genetic variability in germplasm banks is essential to genetic breeding programs. Usually quantification of the variability is carried out using quantitative and qualitative data separately, which may not be enough to infer about the similarity between the genotypes evaluated