the present study is aimed at the overall improvement in the efficacy, reduced toxicity and enhancement of therapeutic index of cisplatin. nanocapsules of cisplatin containing ethylcellulose have been prepared using solvent evaporation technique under ambient conditions. the prepared nanocapsules were used for controlled drug release of anticancer agents with gold and iron oxide nanoparticles. ...

a watershed management program is usually based on the results of watershed modeling. accurate modeling results are decided by the appropriate parameters and input data. precipitation is the most important input for watershed modeling. precipitation characteristics usually exhibit significant spatial variation, even within small watersheds. therefore, properly describing the spatial variation o...

The research considers the properties of a number of statistical measures of volatility, extending from the common standard deviation metric to less widely used range-based measures. Prior research in this field, which has typically featured the use of data series generated by Monte Carlo simulation within the theoretical framework of Geometric Brownian Motion, has tended towards the conclusion...

We propose a generalized class of estimators to estimate general population parameters susceptible research variables using additional auxiliary information in SRSWOR. The constants such as the coefficient variation, mean, standard deviation, and mean square are defined conventional estimator. expression for errors proposed is derived up first order approximation. To compare effectiveness estim...

To estimate a time series model for multiple individuals, a multilevel model may be used. In this paper we compare two estimation methods for the autocorrelation in Multilevel AR(1) models, namely Maximum Likelihood Estimation (MLE) and Bayesian Markov Chain Monte Carlo. Furthermore, we examine the difference between modeling fixed and random individual parameters. To this end, we perform a sim...

Nonparametric kernel estimators are mostly used in a variety of statistical research fields. Nadaraya-Watson estimator (NWK) is one the most important nonparametric that often regression models with fixed bandwidth. In this article, we consider four new Proposed Adaptive Kernel Regression Estimators (Interquartile Range, Standard Deviation, Mean Absolute Devotion, and Median Deviation) rather t...