590 research outputs found

    An analysis of risk factors for arterial hypertension in adolescent students

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    The objective of the study was to evaluate some risk factors for increases in systemic arterial blood pressure. This transversal study was carried out with 145 individuals from 12 to18 years of age at two state schools in the city of Pico in the state of Piauí in Brazil. The majority were female (62.8%). The median age was 14.8 years (±3.19). It was ascertained that 13 of the subjects (9.0%) were overweight [CI% 73.0-86.0]. Elevations in waist circumference were found in 31 (21.4%) and 76 (52.4%) had elevated arterial blood levels. There was no statistically-significant association between the above-cited risk factors and gender (p=0.088; 0.999; 0.204, respectively). However, 44.8% of the adolescents had at least one risk factor associated with arterial hypertension; 15.9% had two, and 2.1% had three. The study confirms the influence of the risk factors on arterial pressure values among adolescents. Being aware of these factors means that nurses can intervene with health education measures.El objetivo fue evaluar de los algunos factores de riesgo para aumento de los niveles de presión arterial sistémica. Estudio transversal con 145 personas de 12 a 18 años de dos escuelas públicas de la ciudad de Picos-PI. La mayoría eran mujeres (62,8%). La edad media fue de 14,8 años (±3.19). Se encontró 13 (9,0%) tenían exceso de peso [IC% 73,0 a 86,0]. Elevaciones de la circunferencia de cintura se encontraron en 31 (21,4%) y 76 (52,4%) con niveles elevados de presión arterial. No hubo asociación estadísticamente significativa de los factores de riesgo mencionados anteriormente investigado con el sexo (p=0,088, 0,999, 0,204, respectivamente). Sin embargo, 44,8% de los jóvenes tenían al menos un factor; 15,9% dos y 2,1% tres factores relacionados con la hipertensión. Confirma la influencia de factores de riesgo en los valores de presión arterial en la juventud. Delante del conocimiento de estos factores, la enfermería podrá intervenir con medidas de educación en salud.O objetivo do estudo foi avaliar alguns fatores de risco para aumento dos níveis de pressão arterial sistêmica. Trata-se de estudo transversal, desenvolvido com 145 indivíduos de 12 a 18 anos, de duas escolas públicas da cidade de Picos, PI. A maioria era composta por mulheres (62,8%). A média de idade foi de 14,8 anos (±3,19). Verificou-se que 13 (9,0%) apresentavam excesso de peso [IC% 73,0-86,0]. Elevações da circunferência abdominal foram encontradas em 31 (21,4%), e 76 (52,4%) tinham elevação nos níveis de pressão arterial. Não houve associação estatisticamente significante dos fatores de risco investigados citados anteriormente com o sexo (p=0,088; 0,999; 0,204, respectivamente). No entanto, 44,8% dos adolescentes tinham pelo menos um fator, 15,9% dois e 2,1%, três fatores associados indicativos de hipertensão arterial. Confirma-se a influência de fatores de risco sobre os valores da pressão arterial em adolescentes. Diante do conhecimento desses fatores, a enfermagem poderá intervir com medidas de educação em saúde

    Measurement of the t(t)over-bar production cross section in the dilepton channel in pp collisions at √s=8 TeV

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    The top-antitop quark (t (t) over bar) production cross section is measured in proton-proton collisions at root s = 8 TeV with the CMS experiment at the LHC, using a data sample corresponding to an integrated luminosity of 5.3 fb(-1). The measurement is performed by analysing events with a pair of electrons or muons, or one electron and one muon, and at least two jets, one of which is identified as originating from hadronisation of a bottom quark. The measured cross section is 239 +/- 2 (stat.) +/- 11 (syst.) +/- 6 (lum.) pb, for an assumed top-quark mass of 172.5 GeV, in agreement with the prediction of the standard model

    Automatic prediction of catalytic residues by modeling residue structural neighborhood

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    Background: Prediction of catalytic residues is a major step in characterizing the function of enzymes. In its simpler formulation, the problem can be cast into a binary classification task at the residue level, by predicting whether the residue is directly involved in the catalytic process. The task is quite hard also when structural information is available, due to the rather wide range of roles a functional residue can play and to the large imbalance between the number of catalytic and non-catalytic residues.Results: We developed an effective representation of structural information by modeling spherical regions around candidate residues, and extracting statistics on the properties of their content such as physico-chemical properties, atomic density, flexibility, presence of water molecules. We trained an SVM classifier combining our features with sequence-based information and previously developed 3D features, and compared its performance with the most recent state-of-the-art approaches on different benchmark datasets. We further analyzed the discriminant power of the information provided by the presence of heterogens in the residue neighborhood.Conclusions: Our structure-based method achieves consistent improvements on all tested datasets over both sequence-based and structure-based state-of-the-art approaches. Structural neighborhood information is shown to be responsible for such results, and predicting the presence of nearby heterogens seems to be a promising direction for further improvements.Journal ArticleResearch Support, N.I.H. Extramuralinfo:eu-repo/semantics/publishe

    Performance of CMS muon reconstruction in pp collision events at sqrt(s) = 7 TeV

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    The performance of muon reconstruction, identification, and triggering in CMS has been studied using 40 inverse picobarns of data collected in pp collisions at sqrt(s) = 7 TeV at the LHC in 2010. A few benchmark sets of selection criteria covering a wide range of physics analysis needs have been examined. For all considered selections, the efficiency to reconstruct and identify a muon with a transverse momentum pT larger than a few GeV is above 95% over the whole region of pseudorapidity covered by the CMS muon system, abs(eta) < 2.4, while the probability to misidentify a hadron as a muon is well below 1%. The efficiency to trigger on single muons with pT above a few GeV is higher than 90% over the full eta range, and typically substantially better. The overall momentum scale is measured to a precision of 0.2% with muons from Z decays. The transverse momentum resolution varies from 1% to 6% depending on pseudorapidity for muons with pT below 100 GeV and, using cosmic rays, it is shown to be better than 10% in the central region up to pT = 1 TeV. Observed distributions of all quantities are well reproduced by the Monte Carlo simulation.Comment: Replaced with published version. Added journal reference and DO

    Performance of CMS muon reconstruction in pp collision events at sqrt(s) = 7 TeV

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    The performance of muon reconstruction, identification, and triggering in CMS has been studied using 40 inverse picobarns of data collected in pp collisions at sqrt(s) = 7 TeV at the LHC in 2010. A few benchmark sets of selection criteria covering a wide range of physics analysis needs have been examined. For all considered selections, the efficiency to reconstruct and identify a muon with a transverse momentum pT larger than a few GeV is above 95% over the whole region of pseudorapidity covered by the CMS muon system, abs(eta) < 2.4, while the probability to misidentify a hadron as a muon is well below 1%. The efficiency to trigger on single muons with pT above a few GeV is higher than 90% over the full eta range, and typically substantially better. The overall momentum scale is measured to a precision of 0.2% with muons from Z decays. The transverse momentum resolution varies from 1% to 6% depending on pseudorapidity for muons with pT below 100 GeV and, using cosmic rays, it is shown to be better than 10% in the central region up to pT = 1 TeV. Observed distributions of all quantities are well reproduced by the Monte Carlo simulation.Comment: Replaced with published version. Added journal reference and DO

    Networks of High Mutual Information Define the Structural Proximity of Catalytic Sites: Implications for Catalytic Residue Identification

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    Identification of catalytic residues (CR) is essential for the characterization of enzyme function. CR are, in general, conserved and located in the functional site of a protein in order to attain their function. However, many non-catalytic residues are highly conserved and not all CR are conserved throughout a given protein family making identification of CR a challenging task. Here, we put forward the hypothesis that CR carry a particular signature defined by networks of close proximity residues with high mutual information (MI), and that this signature can be applied to distinguish functional from other non-functional conserved residues. Using a data set of 434 Pfam families included in the catalytic site atlas (CSA) database, we tested this hypothesis and demonstrated that MI can complement amino acid conservation scores to detect CR. The Kullback-Leibler (KL) conservation measurement was shown to significantly outperform both the Shannon entropy and maximal frequency measurements. Residues in the proximity of catalytic sites were shown to be rich in shared MI. A structural proximity MI average score (termed pMI) was demonstrated to be a strong predictor for CR, thus confirming the proposed hypothesis. A structural proximity conservation average score (termed pC) was also calculated and demonstrated to carry distinct information from pMI. A catalytic likeliness score (Cls), combining the KL, pC and pMI measures, was shown to lead to significantly improved prediction accuracy. At a specificity of 0.90, the Cls method was found to have a sensitivity of 0.816. In summary, we demonstrate that networks of residues with high MI provide a distinct signature on CR and propose that such a signature should be present in other classes of functional residues where the requirement to maintain a particular function places limitations on the diversification of the structural environment along the course of evolution
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