Anisotropic P‐wave attenuation measured from a multi‐azimuth surface seismic reflection survey

A system of aligned vertical fractures produces azimuthal variations in stacking velocity and amplitude variation with offset, characteristics often reported in seismic reflection data for hydrocarbon exploration. Studies of associated attenuation anisotropy have been mostly theoretical, laboratory or vertical seismic profiling based. We used an 11 common‐midpoint‐long portion of each of four marine surface‐seismic reflection profiles, intersecting each other at 45° within circa 100 m of a common location, to measure the azimuthal variation of effective attenuation, Q−1eff and stacking velocity, in a shallow interval, about 100 m thick, in which consistently orientated vertical fracturing was expected due to an underlying salt diapirism. We found qualitative and quantitative consistency between the azimuthal variation in the attenuation and stacking velocity, and published amplitude variation with offset results. The 135° azimuth line showed the least apparent attenuation (1000 Q−1eff= 16 ± 7) and the fastest stacking velocity, hence we infer it to be closest to the fracture trend: the orthogonal 45° line showed the most apparent attenuation (1000Q−1eff= 52 ± 15) and slowest stacking velocity. The variation of Q−1eff with azimuth φ is well fitted by 1000Q−1eff= 34 − 18cos[2(φ+40°)] giving a fracture direction of 140 ± 23° (±1SD, derived from ‘bootstrapping’ fits to all 114 combinations of individual common‐midpoint/azimuth measurements), compared to 134 ± 47° from published amplitude variation with offset data. The effects of short‐window spectral estimation and choices of spectral ratio bandwidth and offset ranges used in attenuation analysis, individually give uncertainties of up to ±13° in fracture direction. This magnitude of azimuthal variation can be produced by credible crack geometries (e.g., dry cracks, radius 6.5 m, aspect ratio 3 × 10−5, crack density 0.2) but we do not claim these to be the actual properties of the interval studied, because of the lack of well control (and its consequences for the choice of theoretical model and host rock physical properties) and the small number of azimuths available here

DICOM-Based Multidisciplinary Platform for Clinical Decision Support: Needs and Direction

Multi-disciplinary platform is created to store and integrate DICOM objects from various clinical disciplines. With artificial intelligence, clinical decision support system is built to assess risk of disease complications using the features extracted from the DICOM objects and their interrelationship. Diabetes Mellitus is considered as the disease of interest and the risks of its complications are assessed based on the extracted features. The synergy of the DICOM-based multi-disciplinary platform and the clinical decision support system provides promising functions for extracting and interrelating consistent features of clinical information

清涼飮料税論

The production of J/\).psi\) and $\psi(2S)$ was measured with the ALICE detector in Pb-Pb collisions at the LHC. The measurement was performed at forward rapidity 2.5 < y < 4 \() down to zero transverse momentum \(p_{\rm T} in the dimuon decay channel. Inclusive J/\).psi\) yields were extracted in different centrality classes and the centrality dependence of the average $p_{\rm T}$ is presented. The J/\).psi\) suppression, quantified with the nuclear modification factor $R_{\rm AA}$ , was studied as a function of centrality, transverse momentum and rapidity. Comparisons with similar measurements at lower collision energy and theoretical models indicate that the J/\).psi\) production is the result of an interplay between color screening and recombination mechanisms in a deconfined partonic medium, or at its hadronization. Results on the $\psi(2S)$ suppression are provided via the ratio of $\psi(2S)$ over J/\).psi\) measured in pp and Pb-Pb collisions

Optimization of Cellulase Production by Trichoderma Strains Using Crude Glycerol as a Primary Carbon Source with a 24 Full Factorial Design

This work focuses on the optimization of cellulase production by two Trichoderma strains. A 24 full factorial design was used to evaluate the effects of four factors in the optimization of cellulase production (filter paper assay—FPA): crude glycerol, microcrystalline cellulose, yeast extract and ammonium sulfate. In fermentation with Trichoderma CMIAT 054 strain the largest FPA (138.48 FPU L−1) occurred with 25.0 g L−1 of cellulose, 10.0 g L−1 of crude glycerol, 1.4 g L− 1 of yeast extract and 3.5 g L− 1 of ammonium sulfate in the culture medium. In tests with Trichoderma CMIAT 041 strain the highest FPA (89.35 FPU L−1) occurred with 25.0 g L−1 of cellulose, 20.0 g L−1 of crude glycerol, 0.6 g L−1 of yeast extract and 1.5 g L−1 of ammonium sulfate in the culture medium. ANOVA showed a correlation coefficient of 93 and 88% for Trichoderma CMIAT 054 and CMIAT 041 strains, respectively. Reduced regression models for the cellulase produced by these strains were obtained. © 2016, Springer Science+Business Media Dordrecht

Charged-particle multiplicities in proton–proton collisions at √s=0.9 to 8&nbsp;TeV

A detailed study of pseudorapidity densities and multiplicity distributions of primary charged particles produced in proton–proton collisions, at s= 0.9, 2.36, 2.76, 7 and 8 TeV, in the pseudorapidity range | η| &lt; 2 , was carried out using the ALICE detector. Measurements were obtained for three event classes: inelastic, non-single diffractive and events with at least one charged particle in the pseudorapidity interval | η| &lt; 1. The use of an improved track-counting algorithm combined with ALICE’s measurements of diffractive processes allows a higher precision compared to our previous publications. A KNO scaling study was performed in the pseudorapidity intervals | η| &lt; 0.5, 1.0 and 1.5. The data are compared to other experimental results and to models as implemented in Monte Carlo event generators PHOJET and recent tunes of PYTHIA6, PYTHIA8 and EPOS

Multi-strange baryon production in p-Pb collisions at root(NN)-N-S=5.02 TeV

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