Measurement of the b-hadron production cross section using decays to D*+ μ − X final states in pp collisions at √s = 7 TeV with the ATLAS detector

The b-hadron production cross section is measured with the ATLAS detector in pp collisions at √s = 7 TeV, using 3.3 pb−1 of integrated luminosity, collected during the 2010 LHC run. The b-hadrons are selected by partially reconstructing D*+μ−X final states. Differential cross sections are measured as functions of the transverse momentum and pseudorapidity. The measured production cross section for a b-hadron with pT > 9 GeV and |η| < 2.5 is 32.7±0.8(stat.)+4.5−6.8(syst.) μb, higher than the next-to-leadingorder QCD predictions but consistent within the experimental and theoretical uncertainties

ATLAS search for new phenomena in dijet mass and angular distributions using pp collisions at s\sqrt{s}=7 TeV

Mass and angular distributions of dijets produced in LHC proton-proton collisions at a centre-of-mass energy $\sqrt{s}$=7 TeV have been studied with the ATLAS detector using the full 2011 data set with an integrated luminosity of 4.8/fb. Dijet masses up to 4.0 TeV have been probed. No resonance-like features have been observed in the dijet mass spectrum, and all angular distributions are consistent with the predictions of QCD. Exclusion limits on six hypotheses of new phenomena have been set at 95% CL in terms of mass or energy scale, as appropriate. These hypotheses include excited quarks below 2.83 TeV, colour octet scalars below 1.86 TeV, heavy W bosons below 1.68 TeV, string resonances below 3.61 TeV, quantum black holes with six extra space-time dimensions for quantum gravity scales below 4.11 TeV, and quark contact interactions below a compositeness scale of 7.6 TeV in a destructive interference scenario.publishedVersio

Search for the standard model Higgs boson in the diphoton decay channel with 4.9fb -1 of pp collision data at √s=7TeV with atlas

A search for the standard model Higgs boson is performed in the diphoton decay channel. The data used correspond to an integrated luminosity of 4.9  fb-1 collected with the ATLAS detector at the Large Hadron Collider in proton-proton collisions at a center-of-mass energy of √s=7  TeV. In the diphoton mass range 110–150 GeV, the largest excess with respect to the background-only hypothesis is observed at 126.5 GeV, with a local significance of 2.8 standard deviations. Taking the look-elsewhere effect into account in the range 110–150 GeV, this significance becomes 1.5 standard deviations. The standard model Higgs boson is excluded at 95% confidence level in the mass ranges of 113–115 GeV and 134.5–136 GeV

Search for the standard model Higgs boson in the diphoton decay channel with 4.9fb -1 of pp collision data at √s=7TeV with atlas

A search for the standard model Higgs boson is performed in the diphoton decay channel. The data used correspond to an integrated luminosity of 4.9  fb-1 collected with the ATLAS detector at the Large Hadron Collider in proton-proton collisions at a center-of-mass energy of √s=7  TeV. In the diphoton mass range 110–150 GeV, the largest excess with respect to the background-only hypothesis is observed at 126.5 GeV, with a local significance of 2.8 standard deviations. Taking the look-elsewhere effect into account in the range 110–150 GeV, this significance becomes 1.5 standard deviations. The standard model Higgs boson is excluded at 95% confidence level in the mass ranges of 113–115 GeV and 134.5–136 GeV

Asymptotic and numerical study of flow in thin domains

We consider the nonstationary flow of a viscous fluid inside a thin tube with elastic walls. The problem depends on two parameters which measures the ratio between the diameter and length of the tube, and which measures the stiffness of the walls. This development is justified by estimates of error and a priori estimates. The principal terms of the asymptotic solution are compared with the solution of a Poiseuille flow in a tube with rigid walls. In the critical case = 3 for the displacement, we obtain a differential equation of sixth order non-classical. The main idea of the M.A.P.D.D. is to construct an asymptotic solution to the problem of flow to describe and justify the application of M.A.P.D.D. This analysis confirms the location of boundary layer effects near the transition zones and the convergence of the asymptotic solution to a solution inside the tubes. The proposed numerical justification here is the application of this method to simulate a process of non-Newtonian flow. Indeed, the method is to solve the initial problem of flow over a small part of the domain (generally corresponding to a neighborhood or boundary layers appear) and simplify the problem on a subdomain using the particular form of the asymptotic solutionOn considère l'écoulement non stationnaire d'un fluide visqueux à l'intérieur d'un tube mince à parois élastiques. Le problème dépend de deux paramètres qui mesure le rapport entre le diamètre et la longueur du tube, ainsi que qui mesure la rigidité des parois. Ce développement est justifié par des estimations d'erreur et des estimations a priori. Les termes principaux de la solution asymptotique sont comparés à ceux de la solution d'un écoulement de Poiseuille dans un tube à parois rigides. Dans le cas critique =3, pour le déplacement, on obtient une équation différentielle non classique du sixième ordre. L'idée principale de la M.A.P.D.D. consiste à construire une solution asymptotique pour le problème d'écoulement afin de décrire et de justifier l'application de la M.A.P.D.D. Cette analyse confirme la localisation des effets de couches limites au voisinage des zones de transition ainsi que la convergence de la solution asymptotique vers une solution à l'intérieur des tubes. La justification numérique proposée ici, est l'application de cette méthode pour simuler un procédé d'écoulement non newtonien. En effet, la méthode consiste à résoudre le problème initial d'écoulement sur une petite partie du domaine (correspondant généralement à un voisinage ou les couches limites apparaissent) et de simplifier le problème sur un sous domaine en utilisant la forme particulière de la solution asymptotiqueST ETIENNE-Bib. électronique (422189901) / SudocSudocFranceF

Asymptotic partial domain decomposition in thin tube structures: numerical experiments

International audienceThe method of asymptotic partial domain decomposition for thin tube structures (finite unions of thin cylinders) is revisited. Its application to the Newtonian and non-Newtonian flows in large systems of vessels is considered. The possibility of a parallelization of its algorithm is discussed for linear and nonlinear models

Evaluation of the bacteriostatic properties of essential oils and their potential applications in food microbiology

The purpose of this study was to evaluate in vitro the bacteriostatic properties of seven food-compatible essential oils: thyme (Thymus vulgaris), oregano (Origanum compactum), saro (Cinnamosma fragrans), helichryse (Helichrysum gymnocephalum), ravensare (Ravensara aromatica), cinnamon (Cinnamomum zeylanicum) leaf and cinnamon bark. The laboratory experiments were conducted on eight strains of five bacterial species relevant in food microbiology (either pathogens or spoilage species): Staphylococcus aureus, Listeria innocua, Bacillus cereus (two strains), Salmonella sp (two strains) and Escherichia coli (two strains). After preliminary “spot-on” experiments, aiming to delimit the panel of concentrations to be tested, agar dilution assays were performed, in double, for each bacterial strain and for each essential oil. In this experiment, 300 CFU of bacteria were plated on Plate Count Agar plates containing different concentrations (0% - 1%) of EO. After 48h incubation at 37°C, the colonies were enumerated on the plates and the MIC were determined as the minimal concentrations of essential oil at which no colonies were observed

Breast Mass Tumor Classification using Deep Learning

© 2020 IEEE. This study presents pre-trained Convolutional Neural Network (CNN) models to classify pre-segmented mammogram mass tumors as benign or malignant. Transfer learning, particular pre-processing and data augmentation were applied to overcome the limitation of the scarcity of available training dataset. The proposed models are based on modified versions of Inception V3 and ResNet50 to tackle the classification problem mentioned above. The proposed architectures have been tested on the Digital Database for Screening Mammography (DDSM) dataset, and it achieved an accuracy of 0.796, precision of 0.754, and a recall of 0.891 on InceptionV3-like CNN model. On the other hand, an accuracy of 0.857, precision of 0.857, and a recall rate of 0.873 have been achieved with the ResNet50-like CNN network. Overall, the proposed ResNet50-like model achieved a 5% improvement in accuracy compared to the existing state-of-the-art method for this dataset

Alteration of vitrified intermediate level radioactive wastes in alkaline media: Effect of cementitious materials, pH and temperature

International audienc

Search for pair-produced massive coloured scalars in four-jet final states with the ATLAS detector in proton-proton collisions at s\sqrt{s} = 7 TeV

A search for pair-produced massive coloured scalar particles decaying to a four-jet final state is performed by the ATLAS experiment at the LHC in proton-proton collisions at $\sqrt{s}$ = 7 TeV. The analysed data sample corresponds to an integrated luminosity of 4.6 /fb. No deviation from the Standard Model is observed in the invariant mass spectrum of the two-jet pairs. A limit on the scalar gluon pair production cross-section of 70 pb (10 pb) is obtained at the 95% confidence level for a scalar gluon mass of 150 GeV (350 GeV). Interpreting these results as mass limits on scalar gluons, masses ranging from 150 GeV to 287 GeV are excluded at the 95% confidence level