Final-state read-out of exciton qubits by observing resonantly excited photoluminescence in quantum dots

We report on a new approach to detect excitonic qubits in semiconductor quantum dots by observing spontaneous emissions from the relevant qubit level. The ground state of excitons is resonantly excited by picosecond optical pulses. Emissions from the same state are temporally resolved with picosecond time resolution. To capture weak emissions, we greatly suppress the elastic scattering of excitation beams, by applying obliquely incident geometry to the micro photoluminescence set-up. Rabi oscillations of the ground-state excitons appear to be involved in the dependence of emission intensity on excitation amplitude.Comment: 4 pages, 4 figures, to appear in Appl. Phys. Let

Randomly Diluted e_g Orbital-Ordered Systems

Dilution effects on the long-range ordered state of the doubly degenerate $e_g$ orbital are investigated. Quenched impurities without the orbital degree of freedom are introduced in the orbital model where the long-range order is realized by the order-from-disorder mechanism. It is shown by the Monte-Carlo simulation and the cluster-expansion method that a decrease in the orbital ordering temperature by dilution is remarkable in comparison with that in the randomly diluted spin models. Tiltings of orbitals around impurity cause this unique dilution effects on the orbital systems. The present theory provides a new view point for the recent experiments in KCu$_{1-x}$Zn$_x$F$_3$.Comment: 4 pages, 4 figure

Forecasting the monthly inflow rate of the Palar-Porundalar dam in Tamil Nadu using SARIMA model

Dam inflow forecasting information is essential for planning and management of the dam system. Time series analysis is the most commonly employed technique to forecast the future values based on historical information. In this study, Palar-Porandalar dam in Tamil Nadu inflow series were forecasted in R software package using ARIMA model with seasonal factors. The monthly inflow series of the dam from 2003 January to 2017 December were used as an input source for modeling and forecasting process. Mann-Kendall’s trend test and various Stationarity test were performed to verify the Stationary nature of the data set. From the Correlogram plot, different models were identified; their parameters were optimized and residuals were diagnostically tested using Autocorrelation plot and Ljung Box test. Finally, the best model was selected based on minimum Akaike Information Criteria (AIC), BIC, RMSE and Theil’s U statistic values. From various models, SARIMA (0, 0, 1) (1, 0, 2)12 model was selected as the best one for forecasting the inflow series

Power aware routing in ad hoc wireless networks

Development of the efficient power aware protocol is the need of today s adhoc networks. Although developing battery efficient systems that have low cost and complexity, remains a crucial issue. In order to facilitate communication within a mobile adhoc network, an efficient routing protocol is required to discover routes between mobile nodes. Power is one of the most important design criteria for adhoc networks as batteries provide limited working capacity to the mobile nodes. Power failure of a mobile node not only affects the node itself but also its ability to forward packets on behalf of others and hence affects the overall network lifetime. Much research efforts have been devoted to develop energy aware routing protocols. In this paper we propose an efficient algorithm, which maximizes the network lifetime by minimizing the power consumption during the source to destination route establishment. As a case study proposed algorithm has been incorporated along with the route discovery procedure of AODV and by simulation it is observed that proposed algorithm s perperformance is better as compare to AODV and DSR in terms of various energy related parameters like Total Energy Consumption, Average Energy Left Per Alive Node, Node Termination Rate, and Network Lifetime for different network scenarios.Facultad de Informátic

Power aware routing in ad hoc wireless networks

Development of the efficient power aware protocol is the need of today s adhoc networks. Although developing battery efficient systems that have low cost and complexity, remains a crucial issue. In order to facilitate communication within a mobile adhoc network, an efficient routing protocol is required to discover routes between mobile nodes. Power is one of the most important design criteria for adhoc networks as batteries provide limited working capacity to the mobile nodes. Power failure of a mobile node not only affects the node itself but also its ability to forward packets on behalf of others and hence affects the overall network lifetime. Much research efforts have been devoted to develop energy aware routing protocols. In this paper we propose an efficient algorithm, which maximizes the network lifetime by minimizing the power consumption during the source to destination route establishment. As a case study proposed algorithm has been incorporated along with the route discovery procedure of AODV and by simulation it is observed that proposed algorithm s perperformance is better as compare to AODV and DSR in terms of various energy related parameters like Total Energy Consumption, Average Energy Left Per Alive Node, Node Termination Rate, and Network Lifetime for different network scenarios.Facultad de Informátic

Hepatoprotective and antioxidant activity of Murraya Koenigii leaves extract against paracetamol induced hepatotoxicity in Rats

Background: Many pharmacological substances are known to cause hepatic injuries and paracetamol is one out of them. This study was carried out to investigate the hepatoprotective and antioxidant activity of hydroalcoholic extract of Murraya koenigii leaves in paracetamol induced hepatotoxicity in Rats.Methods: Experimental animal used in this study were 30 healthy male albino Wistar rats of 10 to 12 wks weighing 180 ± 20 g. After acclimatization for a period of one week, the rats were randomized into five groups of six rats each. Safety profile and dose selection of extract was evaluated using acute toxicity studies. Five groups named as Normal control, Paracetamol induced hepatotoxicity, Murraya koenigii leaves extract 100 mg/kg bw, Murraya koenigii leaves extract 200 mg/kg bw and Silymarin group respectively. The doses of drugs and plant extract was calculated based on the body weight of each animal and administered orally for 7 days. On 8th day rats were sacrificed and blood samples were collected by cardiac puncture for biochemical estimation of biochemical parameters. Then abdomen was opened to get liver sample for antioxidant activity and histopathology.Results: Acute toxicity studies showed the non-toxic nature of Murraya koenigii leaves extract upto dose of 2000 mg/kg body weight. Murraya koenigii leaves extract in both doses showed a significant drop in the mean levels of AST, ALT, ALP, TP and TB when compared with toxic control group. The higher dose was found better than lower dose. Silymarin was found better than both the doses. Murraya koenigii leaves extract in both doses significantly reduced the TBARS level when compared to toxic control group. The activities of GSH, SOD and CAT in liver were significantly lower in Paracetamol induced hepatotoxicity rats compared to control rats. Murraya koenigii leaves extract at both doses showed a significant increase in GSH, SOD and CAT. The higher dose was found better than lower dose. Silymarin was found better than both the doses. Histopathology of Liver biopsy with higher dose of Murraya koenigii leaves extract showed reduced periportal inflammation with mild hepatic venous congestion and Silymarin treated rats showed no periportal inflammation with mild congestion in few central veins.Conclusions: Murraya koenigii leaves extract possesses significant Hepatoprotective property; this may be due to antioxidant activity. Further studies are required to determine the exact mechanism