Theory of remote entanglement via quantum-limited phase-preserving amplification

We show that a quantum-limited phase-preserving amplifier can act as a which-path information eraser when followed by heterodyne detection. This 'beam splitter with gain' implements a continuous joint measurement on the signal sources. As an application, we propose heralded concurrent remote entanglement generation between two qubits coupled dispersively to separate cavities. Dissimilar qubit-cavity pairs can be made indistinguishable by simple engineering of the cavity driving fields providing further experimental flexibility and the prospect for scalability. Additionally, we find an analytic solution for the stochastic master equation, a quantum filter, yielding a thorough physical understanding of the nonlinear measurement process leading to an entangled state of the qubits. We determine the concurrence of the entangled states and analyze its dependence on losses and measurement inefficiencies.Comment: Main text (11 pages, 5 figures), updated to the published versio

Transition induced by linear and nonlinear perturbation growth in flow past a compressor blade

Flow past a NACA 65 blade at chord-based Reynolds number 138;500 is studied using stability analysis, generalised (spatially weighted) transient growth analysis and direct numerical simulations (DNS). The mechanisms of transition on various sections of the blade observed in previous work (Zaki et al. 2010) are examined, with a focus on the pressure side around the leading edge. In this region, the linearly most energetic perturbation has spanwise wavenumber 40π (five boundary layer thicknesses) and is tilted against the mean shear to take advantage of the Orr mechanism. In a DNS, the nonlinear development of this optimal perturbation induces ˄ structures, which are further stretched to hairpin vortices before breaking down to turbulence. At higher spanwise wavenumber, e.g. 120π, a free-stream optimal perturbation is obtained upstream of the leading edge, in the form of streamwise vortices. During its nonlinear evolution, this optimal perturbation tilts the mean shear and generates spanwise periodic high and low-speed streaks. Then through a nonlinear lift-up mechanism, the low-speed streaks are lifted above the high speed ones. This layout of streaks generates a mean shear with two in inflectional points, and activates secondary instabilities, namely inner and outer instabilities previously reported in the literature

The Vertical Profile of Nitrate in Pinang Dalam Oxbow Lake Buluh China Village Siak Hulu Sub District Kampar District Riau Province

This research has been done in Pinang Dalam Oxbow Lake from Maret 2014. Thisresearch aims to understand the vertical profile of nitrate in Pinang Dalam oxbow lake. Theresearch used survey method. Sample were taken in three stations, namely station 1, station 2 andstation 3. Sampling vertical based transparency, at surface, 2,5 secchi disk, and in the bottom.The parameters of water quality measured nitrate, phosphate, temperature, transparancy, depth,pH, free carbon dioxide (CO) and dissolved oxygen (DO). The result shown nitrate range 0,020- 0,337 mg/L, phosphate 0,037 – 0,710 mg/L, temperature 28,3-28,7 oC, transparancy 27,3-28,5cm, depth 145-302 cm, pH 5, free carbon dioxide 5,33 - 9,32 mg/L, and dissolved oxygen 2,40- 6,83 mg/L. The vertical profile of nitrate showed increased with the increment of depth. Theparameters of water quality were observed still support the aquatic organisms

High-precision calculations of In I and Sn II atomic properties

We use all-order relativistic many-body perturbation theory to study 5s^2 nl configurations of In I and Sn II. Energies, E1-amplitudes, and hyperfine constants are calculated using all-order method, which accounts for single and double excitations of the Dirac-Fock wave functions.Comment: 10 pages, accepted to PRA; v2: Introduction changed, references adde

QSAR analyses of Octahydroquinazolinone for insecticidal activity against spodoptera litura and its in-silico validation using molecular Docking study.

In order to establish a quantitative structure-activity relationship (QSAR) for Insecticide activity against spodoptera litura, we have, first, studied a series of 14 substituted Octahydroquinazolinone and derivatives by using Density functional theory calculations (DFT) .To get insights into the structure and property information for this series of molecules and to better understanding the relationship between structure and activity, we have used Molecular Docking method.  Descriptors such as total energy, Gap energy, HOMO and LUMO energies, dipole moment (µ), electronegativity (χ), global hardness (η), softness (σ), electrophilicity index, partition coefficient, repulsion energy, ovality, log P, boiling point, cluster count and Molecular weight, provide vital information about the insecticide activity of substituted Octahydroquinazolinone, The MLR has served to select those descriptors and also to propose a quantitative model  based on such calculated parameters to predict insect mortality (S. litura) by contact and feeding methods, and the % growth inhibition index against Spodoptera litura. After, we try to interpret these types of activities. The topological and the electronic descriptors were computed with ACD/ChemSketch and Gaussian 03W program, respectively.

The possible protective effect of L-arginine against 5-fluorouracil-induced nephrotoxicity in male albino rats

5-fluorouracil (5-FU) is a potent antineoplastic agent used for the treatment of various malignancies. The L-arginine nitric oxide (NO) pathway involved in the pathogenesis of chemotherapy induced kidney damage. This work investigated the beneficial mechanism of L-arginine supplementation in 5-FU induced nephropathy. Eighty male Wistar rats were divided into four equal groups: control group; L-arginine group (378 mg/rat/day for 4 weeks); 5-FU group (189 mg/rat/week for 4 weeks) and L-arginine for 1 week before and 4 weeks concomitant with 5-FU group. At the end of experiment, the kidney functions were assessed and kidneys specimens were processed for paraffin sections and stained with haematoxylin and eosin (H&E), Masson’s trichome (MT) and periodic acid-Schiff (PAS) stains. Other sections were processed for immunohistochemical demonstration of caspase-3 and inducible NO synthase (iNOS). Image analyser was used to analyse the results morphometrically and statistically. L-arginine administration to 5-FU treated animals elicited significant reduction in serum urea and creatinine levels, urine volume, urinary protein excretion and kidney/body weight ratio in comparison to fluorouracil treated group. L-arginine improved glomeruloscelerosis, degeneration of convoluted tubules and interstitial fibrosis in 5-FU treated animals. L-arginine attenuated effectively some biochemical and histological changes in 5-FU nephrotoxicity

Comparing local energy cascade rates in isotropic turbulence using structure function and filtering formulations

Two common definitions of the spatially local rate of kinetic energy cascade at some scale $\ell$ in turbulent flows are (i) the cubic velocity difference term appearing in the generalized Kolmogorov-Hill equation (GKHE) (structure function approach), and (ii) the subfilter-scale energy flux term in the transport equation for subgrid-scale kinetic energy (filtering approach). We perform a comparative study of both quantities based on direct numerical simulation data of isotropic turbulence at Taylor-scale Reynolds number of 1250. While observations of negative subfilter-scale energy flux (backscatter) have in the past led to debates regarding interpretation and relevance of such observations, we argue that the interpretation of the local structure function-based cascade rate definition is unambiguous since it arises from a divergence term in scale space. Conditional averaging is used to explore the relationship between the local cascade rate and the local filtered viscous dissipation rate as well as filtered velocity gradient tensor properties such as its invariants. We find statistically robust evidence of inverse cascade when both the large-scale rotation rate is strong and the large-scale strain rate is weak. Even stronger net inverse cascading is observed in the ``vortex compression'' $R>0$, $Q>0$ quadrant where $R$ and $Q$ are velocity gradient invariants. Qualitatively similar, but quantitatively much weaker trends are observed for the conditionally averaged subfilter scale energy flux. Flow visualizations show consistent trends, namely that spatially the inverse cascade events appear to be located within large-scale vortices, specifically in subregions when $R$ is large

Effect of subchronic intake of green tea extract on liver of albino rat histomorphometric, ultrastructural and biochemical study

Background: There are conflicting reports on the effect of green tea extract (GTE) on the liver of animals. Some studies failed to show any adverse hepatic effects following administration of GTE to mice, rats, and dogs. Others reported severe hepatic necrosis, resulting in death in female Swiss-Webster mice following its administration. The aim of the study was to examine the subchronic toxicity of GTE on the liver of the adult male albino rats. Materials and methods: Forty male adult Wistar albino rats were used in the study. The rats were divided into four groups; group I (control), group II (low-dose green tea), group III (medium-dose green tea) and group IV (high-dose green tea). Histological, biochemical and histomorphometric analyses were done. Results: Mild hepatic affections were observed in group II. The affections were severe in groups III and IV. The central veins and hepatic sinusoids were congested. The hepatocytes were degenerated. Hypertrophy of the hepatic arteries, dilation of the bile ducts and cellular infiltration were clearly observed in the last two groups. Mild degenerative changes were observed in the hepatocytes in rat’s group II; the cytoplasm was rarefied and vacuolated. Some mitochondria were ruptured. The blood sinusoids were congested. The rough endoplasmic retinaculum was fragmented in group III. More degenerative changes were observed in group IV; the hepatic architectures were lost with disruption of cell membranes. Most of the cell organelles were degenerated and most of mitochondria were ballooned. As compared to that of the control groups: the total serum protein values in groups II, III and IV showed a statistically significant decrease (12%, 20% and 21%, respectively), the mean area per cent of collagen fibres in groups III and IV increased 5 and 7 folds. Conclusions: Subchronic administration of GTE resulted in structural and functional affection of the rats’ liver. The dose of 250 mg/kg/day seemed to be safe, while the doses of 500 mg/kg/day and 1000 mg/kg/day had deleterious effect being more evident in the latter dose

Interactions between (4Z)-hex-4-en-1-ol and 2-methylbutyl 2-methylbutanoate with olfactory receptors using computational methods

The first step in the perception of an odor is the activation of one or more olfactory receptors (ORs) following binding of the odorant molecule to the OR. The compounds (4Z)-hex-4-en-1-ol and 2-methylbutyl 2-methylbutanoate are two important odorants molecules known as food flavor. In this research, we investigate the potential targets for this two molecules and try to interpret the type of binding with different ORs models and their relationship with the retention/release property. We used the SWISS-MODEL modelling server to predict the three-dimensional (3D) structure of the ORs. We then used the Autodock vina and Autodock tools to predict the binding site and binding energy for the ligands to these receptors. The results indicate that the molecule (4Z)-hex-4-en-1-ol has given more hydrogen bonds with the majority of these receptors and the 2-methylbutyl 2-methylbutanoate molecule mainly has given Pi bonds interaction type

Cost-sensitive learning classification strategy for predicting product failures

In the current era of Industry 4.0, sensor data used in connection with machine learning algorithms can help manufacturing industries to reduce costs and to predict failures in advance. This paper addresses a binary classification problem found in manufacturing engineering, which focuses on how to ensure product quality delivery and at the same time to reduce production costs. The aim behind this problem is to predict the number of faulty products, which in this case is extremely low. As a result of this characteristic, the problem is reduced to an imbalanced binary classification problem. The authors contribute to imbalanced classification research in three important ways. First, the industrial application coming from the electronic manufacturing industry is presented in detail, along with its data and modelling challenges. Second, a modified cost-sensitive classification strategy based on a combination of Voronoi diagrams and genetic algorithm is applied to tackle this problem and is compared to several base classifiers. The results obtained are promising for this specific application. Third, in order to evaluate the flexibility of the strategy, and to demonstrate its wide range of applicability, 25 real-world data sets are selected from the KEEL repository with different imbalance ratios and number of features. The strategy, in this case implemented without a predefined cost, is compared with the same base classifiers as those used for the industrial problem