Sao Paulo State University

About: Sao Paulo State University is a education organization based out in São Paulo, Brazil. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 55715 authors who have published 100436 publications receiving 1375332 citations.

Performance and Intestinal Mucosa Development of Broiler Chickens Fed Diets Containing Saccharomyces cerevisiae Cell Wall

Abstract: UNESP, Fac Ciencias Agr & Vet, Dept Morfol & Fisiol Anim, BR-14870000 Jaboticabal, SP, Brazil

Environmental training in organisations: From a literature review to a framework for future research

Abstract: Although the research on the relationship between human factors and environmental sustainability is slowly progressing, environmental training has attracted the most attention from researchers and practitioners. However, there remains a lack of research that integrates and systematises the available knowledge on organisational environmental training. Environmental training is fundamental to any successful activity of environmental management, conservation and recycling of resources. Thus, the aim of this paper was to present the results of a systematic literature review on environmental training in organisations. The main studies in this area were classified and coded, and a research agenda with 9 recommendations that may advance the field was presented. As a result of the gaps in the current literature, a framework was proposed aiming guide and strengthens the state-of-the-art research on environmental training. Additionally, results show that more research is needed on environmental training, combining training and green human resource management and defining/measuring the objectives of the environmental training actions. Future studies should also consider mixed methodologies and comparative perspectives.

Searches for long-lived charged particles in pp collisions at sqrt(s) = 7 and 8 TeV

Abstract: Results of searches for heavy stable charged particles produced in pp collisions at sqrt(s) = 7 and 8 TeV are presented corresponding to an integrated luminosity of 5.0 inverse femtobarns and 18.8 inverse femtobarns, respectively. Data collected with the CMS detector are used to study the momentum, energy deposition, and time-of-flight of signal candidates. Leptons with an electric charge between e/3 and 8e, as well as bound states that can undergo charge exchange with the detector material, are studied. Analysis results are presented for various combinations of signatures in the inner tracker only, inner tracker and muon detector, and muon detector only. Detector signatures utilized are long time-of-flight to the outer muon system and anomalously high (or low) energy deposition in the inner tracker. The data are consistent with the expected background, and upper limits are set on the production cross section of long-lived gluinos, scalar top quarks, and scalar tau leptons, as well as pair produced long-lived leptons. Corresponding lower mass limits, ranging up to 1322 GeV for gluinos, are the most stringent to date.

Escherichia coli phylogenetic group determination and its application in the identification of the major animal source of fecal contamination.

Abstract: Background: Escherichia coli strains are commonly found in the gut microflora of warm-blooded animals. These strains can be assigned to one of the four main phylogenetic groups, A, B1, B2 and D, which can be divided into seven subgroups (A0, A1, B1, B22, B23, D1 and D2), according to the combination of the three genetic markers chuA, yjaA and DNA fragment TspE4.C2. Distinct studies have demonstrated that these phylo-groups differ in the presence of virulence factors, ecological niches and life-history. Therefore, the aim of this work was to analyze the distribution of these E. coli phylo-groups in 94 human strains, 13 chicken strains, 50 cow strains, 16 goat strains, 39 pig strains and 29 sheep strains and to verify the potential of this analysis to investigate the source of fecal contamination. Results: The results indicated that the distribution of phylogenetic groups, subgroups and genetic markers is nonrandom in the hosts analyzed. Strains from group B1 were present in all hosts analyzed but were more prevalent in cow, goat and sheep samples. Subgroup B2 3 was only found in human samples. The diversity and the similarity indexes have indicated a similarity between the E. coli population structure of human and pig samples and among cow, goat and sheep samples. Correspondence analysis using contingence tables of subgroups, groups and genetic markers frequencies allowed the visualization of the differences among animal samples and the identification of the animal source of an external validation set. The classifier tools Binary logistic regression and Partial least square -- discriminant analysis, using the genetic markers profile of the strains, differentiated the herbivorous from the omnivorous strains, with an average error rate of 17%. Conclusions: This is the first work, as far as we are aware, that identifies the major source of fecal contamination of a pool of strains instead of a unique strain. We concluded that the analysis of the E. coli population structure can be useful as a supplementary bacterial source tracking tool.