the main objective of the present study is to investigate the feasibility of using carboxymethyl chitosan magnetic nanoparticles (ccmn) for the adsorption of cd2+. the study also reports important parameters, which affect the adsorption process, i.e., ph, adsorbent dose, contact time and concentration of cd2+, using box-behnken designs. firstly, functional carboxymethyl chitosan magnetic nanopa...

perlite or pearl stone is a natural glass which has formed by rapid cooling of viscous lava or magma. perlite is mainly composed of silica, aluminum, potassium and sodium. in this experiment, perlite was used as a low-cost source of si and al to synthesis of sodalite zeolite using the alkaline hydrothermal treatment. a statistical taguchi design of experiments was employed to evaluate the effec...

background a potential treatment for healing hepatic tissue is delivering isolated hepatic cells to the site of injury to promote hepatic cells formation. in this technology, providing an appropriate injectable system for delivery of hepatic cells is an important issue. in this regard, fibrin scaffolds were designed with many advantages over other scaffolds like cell delivery vehicles for biode...

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In this chapter we draw connections between two seemingly opposing approaches to probability and statistics: evidential probability on the one hand and objective Bayesian epistemology on the other.

The degree of empirical support of a priori plausible structures on the cointegration vectors has a central role in the analysis of cointegration. Historically, this question has been answered by classical testing of over-identifying restrictions on the cointegration space. This paper introduces an exact finite sample Bayesian procedure to calculate the posterior probability of restrictions on ...

In this paper joint mean and variance beta regression models are proposed. The proposed models are fitted applying Bayesian methodology and assuming normal prior distribution for the regression parameters. An analysis of structural and real data is included, assuming the proposed model, together with a comparison of the result obtained assuming joint modeling of the mean and precision parameters.

A key step in “Designing for the Consequences of Hazard” is choosing which hazards to design for. This paper argues that the Bayesian perspective is the rational and prudent framework.