Preparation and evaluation of Fuller's Earth Beads for removal of Cesium from waste streams

This work deals with removal of Cesium (radioactive waste) in dilute aqueous phase by adsorption. Fullers earth was used as an adsorbent. The adsorption capacity of Fullers earth with respect to Cesium was found to be high, 26.3 mg / g of adsorbent.

Microbicide delivery: formulation technologies and strategies

Purpose of review: The aim of this article is to summarize the latest information on microbicide formulations for prevention of sexual transmission of HIV infection in women. Recent findings: Although early microbicide formulations were conventionally coitally dependent gel products, new technologies are being developed for vaginal delivery of anti-HIV agents. Intravaginal rings for delivery of microbicides, for example, are being developed and evaluated clinically. Safety and acceptability data are available for many microbicide gels and for one microbicide intravaginal ring. Other microbicide formulations in development for once daily or other vaginal administration strategies include films, tablets, and ovules. Various microbicide formulations for rectal administration are also in development. Summary: New microbicide formulations in development are addressing many of the issues with the original gels such as coital dependency, frequency of use, acceptability, compliance, cost, and adaptability to large-scale production. All of these dosage forms are promising options for safe, effective, and acceptable microbicide products.

System oriented neural networks - Problem formulation, methodology and application

A novel methodology is proposed for the development of neural network models for complex engineering systems exhibiting nonlinearity. This method performs neural network modeling by first establishing some fundamental nonlinear functions from a priori engineering knowledge, which are then constructed and coded into appropriate chromosome representations. Given a suitable fitness function, using evolutionary approaches such as genetic algorithms, a population of chromosomes evolves for a certain number of generations to finally produce a neural network model best fitting the system data. The objective is to improve the transparency of the neural networks, i.e. to produce physically meaningful

Use of the Child Health Questionnaire in Children with Cerebral Palsy: A Systematic Review and Evaluation of the Psychometric Properties

Objective: To review the psychometric performance of the Child Health Questionnaire (CHQ) in samples ofchildren with cerebral palsy (CP).

Method: Four search terms were applied to five databases in a search forpapers published between 1993 and January 2007.

Results: A total of 13 papers were identified, providingdata on 1229 unique children aged 2–18 years old. Three studies reported on the reliability of the CHQ(internal consistency), whilst six studies provided evidence on various dimensions of validity (concurrent;discriminant and item discriminant validity).

Conclusions: This review identified a number ofpsychometric issues that need to be addressed. These include the assessment of additional types of reliability;an examination of the factor structure of the CHQ within the CP population; and the development ofnormative data using substantial representative samples, particularly in Europe. Until these issues areaddressed, researchers utilizing the CHQ in children with CP should be cautious about its interpretation.

TDM modelling and evaluation of different domain transforms for LSI

Latent semantic indexing (LSI) is a popular technique used in information retrieval (IR) applications. This paper presents a novel evaluation strategy based on the use of image processing tools. The authors evaluate the use of the discrete cosine transform (DCT) and Cohen Daubechies Feauveau 9/7 (CDF 9/7) wavelet transform as a pre-processing step for the singular value decomposition (SVD) step of the LSI system. In addition, the effect of different threshold types on the search results is examined. The results show that accuracy can be increased by applying both transforms as a pre-processing step, with better performance for the hard-threshold function. The choice of the best threshold value is a key factor in the transform process. This paper also describes the most effective structure for the database to facilitate efficient searching in the LSI system.