The first seven years of RXTE monitoring of Seyfert 1 active galactic nuclei have been systematically analyzed to yield five homogeneous samples of 2–12 keV light curves, probing hard X-ray variability on successively longer durations from ∼1 day to ∼3.5 years. 2–10 keV variability on time scales of ∼1 day, as probed by ASCA, are included. All sources exhibit stronger X-ray variability towards ...

Utilizing ASCA archival data of about 300 objects of elliptical galaxies, groups, and clusters of galaxies, we performed systematic measurements of the X-ray properties of hot gas in their systems, and compiled them in this paper. The steepness of the luminosity–temperature (LT) relation, LX ∝ (kT ), in the range of kT =1.5–15 keV is α= 3.17± 0.15, consistent with previous measurements. In the ...

Various scaling methods such as relative viscosity, Peclet and Reynolds scaling were used to find the best scaling law. Scaling and modeling of the flow curves of various model emulsions consist of Tragacanth Gum (TG) (0.5, 1 % wt), Oleic acid (5, 10% v/v) and WPI (2, 4 % wt) were investigated and the best models were selected. As these emulsions are non-Newtonian, they do not obey the usual...

study of the spatial variability of infiltration characteristics is essential to estimating infiltration parameters on a local scale. the objectives of the present study were to scale the parameters of a philip two-term model for infiltration and survey the variability of infiltration characteristics geostatistically using wastewater in the bajgah catchment. infiltration was measured at 30 poin...

tumor growth has a number of features in common with a physical process known as molecular beam epitaxy (mbe). so using the same equations for tumor growth is sensible. however, tumor substrate unlike mbe is not planar that makes necessary a geometrical treatment of the growth equations. a variety of mathematical models have been proposed to describe tumor growth. the justification for these mo...

We introduce the use of Fabry-Perot (FP) lasers as potential neuromorphic computing machines with parallel processing capabilities. With optical injection between a master FP laser and slave under feedback we demonstrate for scaling up power at longitudinal mode granularity perform real-time signal equalization in 25 Gbaud intensity modulation direct detection communication systems. improvement...

three antituberculosis medications are investigated in this work consist of rifampicin, isoniazid and pyrazinamide. the ultra violet (uv) spectra of these compounds are overlapped, thus use of suitable chemometric methods are helpful for simultaneous spectrophotometric determination of them. a generalized version of net analyte signal standard addition method (gnassam) was used for determinatio...

We apply object detection techniques based on Convolutional Neural Networks to jet reconstruction and identification at the CERN Large Hadron Collider. In particular, we focus CaloJet reconstruction, representing each event as an image composed of calorimeter cells using a Single Shot Detection network, called Jet-SSD. The model performs simultaneous localization classification additional regre...

Gyrokinetic simulation of tokamak transport has evolved sufficiently to allow direct comparison of numerical results with experimental data. It is to be emphasized that only with the simultaneous inclusion of many distinct and complex effects can this comparison realistically be made. Until now, numerical studies of tokamak microturbulence have been restricted to either (a) flux tubes or (b) el...

Stylised facts for univariate high–frequency data in finance are well–known. They include scaling behaviour, volatility clustering, heavy tails, and seasonalities. The multivariate problem, however, has scarcely been addressed up to now. In this paper, bivariate series of high–frequency FX spot data for major FX markets are investigated. First, as an indispensable prerequisite for further analy...