Western Australian primary school teachers knowledge about childhood asthma and its management

A total of 164 primary school teachers from Perth, Western Australia anonymously completed a survey of their knowledge and attitudes about asthma. These teachers were active in assisting children with asthma management but most (91.5%) felt that they did not know enough about asthma. Attitudes toward children with asthma were positive; 97% agreed that such children should be encouraged to participate in sporting activities. Specific knowledge about asthma management and medications was, however, poor. This large sample of Western Australian teachers knew more than their European counterparts but asthma training is needed and should be targeted at improving knowledge of both regular and emergency treatments for asthma.

Capillary network models for transport in packed beds: Considerations of pore aspect ratio

The conventional analysis for the estimation of the tortuosity factor for transport in porous media is modified here to account for the effect of pore aspect ratio. Structural models of the porous medium are also constructed for calculating the aspect ratio as a function of porosity. Comparison of the model predictions with the extensive data of Currie (1960) for the effective diffusivity of hydrogen in packed beds shows good agreement with a network model of randomly oriented intersecting pores for porosities upto about 50 percent, which is the region of practical interest. The predictions based on this network model are also found to be in better agreement with the data of Currie than earlier expressions developed for unconsolidated and grainy media.

Neuroleptic management of schizophrenia: A survey and commentary on Australian psychiatric practice

Objective: We seek to assess Australian psychiatrists' views and practices concerning provision of neuroleptic medication to patients with schizophrenia, and to determine whether such management strategies are likely to have changed over time and the extent to which they correspond to published treatment guidelines. Method: A sample of 139 psychiatrists based in three Australian capital cities was derived, with respondents completing a brief questionnaire by choosing from a limited-option answer set. Co-authors of this paper comment on the extent to which responses are in line with contemporary recommendations driven by experts or empirical studies. Results: Overall, survey findings indicate that there has been considerable change in clinical practice over the last decade and provide some estimate of the extent to which Australian management practices are congruent with contemporary recommendations. We identify a number of issues of concern (more in relation to dose levels of neuroleptic medication rather than treatment duration) revealed by survey data and make recommendations for addressing a number of practical clinical issues. Conclusions: As this report focuses on central issues involved in managing schizophrenia, and integrates a number of treatment guidelines, we suggest that it should be of assistance for practice review by clinicians.

Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network

Motivation: Prediction methods for identifying binding peptides could minimize the number of peptides required to be synthesized and assayed, and thereby facilitate the identification of potential T-cell epitopes. We developed a bioinformatic method for the prediction of peptide binding to MHC class II molecules. Results: Experimental binding data and expert knowledge of anchor positions and binding motifs were combined with an evolutionary algorithm (EA) and an artificial neural network (ANN): binding data extraction --> peptide alignment --> ANN training and classification. This method, termed PERUN, was implemented for the prediction of peptides that bind to HLA-DR4(B1*0401). The respective positive predictive values of PERUN predictions of high-, moderate-, low- and zero-affinity binder-a were assessed as 0.8, 0.7, 0.5 and 0.8 by cross-validation, and 1.0, 0.8, 0.3 and 0.7 by experimental binding. This illustrates the synergy between experimentation and computer modeling, and its application to the identification of potential immunotheraaeutic peptides.