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A novel translabial platform utilizing bioexcipients from Litchi chinesis for the delivery of rosiglitazone maleate

Acta Pharmaceutica Sinica B 2013年第6期3卷 408-415页

作者： N.V.Satheesh Madhav abhay pratap yadav Novel Drug Delivery Research Laboratory Faculty of PharmacyDehradun Institute of Technology UniversityDehradunUttarakhand 248009India

The aim of this study was to formulate drug-loaded bio-lipstrips using novel bioexcipients isolated from the fruit pulp of Litchi chinesis(biomaterial L)and to explore the potentiality of lip skin as a novel translabial drug delivery *** biomaterial,prepared by a simplified economical process and purified by hot dialysis,was subjected to various physicochemical evaluations along with spectral analysis including UV,FT-IR,Mass and ^(1)H *** lipstrip formulated with the novel bioexcipients was screened for its functional properties,including filmability using a film-casting method,and bio/mucoadhesitivity using a shear-stress method,the Park and Robinson method and a rotating cylinder ***-loaded bio-lipstrips were formulated by using biomaterial L as a strip former and dextrose as a *** formulated strips were subjected to various evaluations,including thickness,folding endurance,in-vitro release and in-vivo *** release of rosiglitazone maleate was maintained over 24 h,which was confirmed in in-vitro and in-vivo release *** results reveal that this biopolymer possesses promising stripability as well as *** formulated bio-lipstrips are feasible for delivering rosiglitazone maleate by translabial administration.

关键词： Translabial Rosiglitazone Litchi chinesis Strip Bio-polymer

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New Chain Imputation Methods for Estimating Population Mean in the Presence of Missing Data Using Two Auxiliary Variables

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Communications in Mathematics and Statistics 2023年第2期11卷 325-340页

作者： Shashi Bhushan abhay pratap Pandey Department of Mathematics and Statistics Dr.Shakuntala Misra National Rehabilitation UniversityLucknowIndia Department of Statistics Ramanujan College University of DelhiNew DelhiIndia

This article deals with some new chain imputation methods by using two auxiliary variables under missing completely at random(MCAR)*** proposed generalized classes of chain imputation methods are tested from the viewpoint of optimality in terms of *** proposed imputation methods can be considered as an efficient extension to the work of Singh and Horn(Metrika 51:267-276,2000),Singh and Deo(Stat Pap 44:555-579,2003),Singh(Stat A J Theor Appl Stat 43(5):499-511,2009),Kadilar and Cingi(Commun Stat Theory Methods 37:2226-2236,2008)and Diana and Perri(Commun Stat Theory Methods 39:3245-3251,2010).The performance of the proposed chain imputation methods is investigated relative to the conventional chain-type imputation *** theoretical results are derived and comparative study is conducted and the results are found to be quite encouraging providing the improvement over the discussed work.

关键词： Missing data Imputation MCAR

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