Canine-human transmission of Gastrospirillum hominis

We report electron microscopic evidence of transmission from a pet dog to a 12-year-girl of Gastrospirillum hominis which caused gastric disease in both that was eradicable with treatment. © 1994.

"Okay girl, it's up to you": a case study of the use of a seizure alert dog to improve the wellbeing of a student with epilepsy

The relationship between student well-being and the other vital outcomes of school is unequivocal. Improved outcomes in all aspects of student well-being are positively associated with improved outcomes in all other aspects of schooling. This educational imperative only serves to strengthen and support the moral imperative for schools and schooling to be inclusive, supportive and nurturing in order to maintain and support student well-being. (Fraillon 2005, p. 12)

When and how to treat pulmonary non-tuberculous mycobacterial diseases

Nontuberculous mycobacteria are ubiquitous environmental organisms that have been recognised as a cause of pulmonary infection for over 50 years. Traditionally patients have had underlying risk factors for development of disease; however the proportion of apparently immunocompetent patients involved appears to be rising. Not all patients culture-positive for mycobacteria will have progressive disease, making the diagnosis difficult, though criteria to aid in this process are available. The two main forms of disease are cavitary disease (usually involving the upper lobes) and fibronodular bronchiectasis (predominantly middle and lingular lobes). For patients with disease, combination antibiotic therapy for 12-24 months is generally required for successful treatment, and this may be accompanied by drug intolerances and side effects. Published success rates range from 30-82%. As the progression of disease is variable, for some patients, attention to pulmonary hygiene and underlying diseases without immediate antimycobacterial therapy may be more appropriate. Surgery can be a useful adjunct, though is associated with risks. Randomised controlled trials in well described patients would provide stronger evidence-based data to guide therapy of NTM lung diseases, and thus are much needed.

A dog of a QCAT : collateral effects of mandated English assessment in the Torres Strait

This paper critiques a 2008 Queensland Studies Authority (QSA) assessment initiative known as Queensland Comparable Assessment Tasks, or QCATs. The rhetoric is that these centrally devised assessment tasks will provide information about how well students can apply what they know, understand and can do in different contexts (QSA, 2009). The QCATs are described as ‘authentic, performance-based assessment’ that involves a ‘meaningful problem’, ‘emphasises critical thinking and reasoning’ and ‘provides students with every opportunity to do their best work’ (QSA, 2009). From my viewpoint as a teacher, I detail my professional concerns with implementing the 2008 middle primary English QCAT in one case study Torres Strait Island community. Specifically I ask ‘QCATs: Comparable with what?’ and ‘QCATs: Whose authentic assessment?’. I predict the possible collateral effects of implementing this English assessment in this remote Indigenous community, concluding, rather than being an example of quality assessment, colloquially speaking, it is nothing more than a ‘dog’.

Bayesian methodology for genetics of complex diseases

Genetic research of complex diseases is a challenging, but exciting, area of research. The early development of the research was limited, however, until the completion of the Human Genome and HapMap projects, along with the reduction in the cost of genotyping, which paves the way for understanding the genetic composition of complex diseases. In this thesis, we focus on the statistical methods for two aspects of genetic research: phenotype definition for diseases with complex etiology and methods for identifying potentially associated Single Nucleotide Polymorphisms (SNPs) and SNP-SNP interactions. With regard to phenotype definition for diseases with complex etiology, we firstly investigated the effects of different statistical phenotyping approaches on the subsequent analysis. In light of the findings, and the difficulties in validating the estimated phenotype, we proposed two different methods for reconciling phenotypes of different models using Bayesian model averaging as a coherent mechanism for accounting for model uncertainty. In the second part of the thesis, the focus is turned to the methods for identifying associated SNPs and SNP interactions. We review the use of Bayesian logistic regression with variable selection for SNP identification and extended the model for detecting the interaction effects for population based case-control studies. In this part of study, we also develop a machine learning algorithm to cope with the large scale data analysis, namely modified Logic Regression with Genetic Program (MLR-GEP), which is then compared with the Bayesian model, Random Forests and other variants of logic regression.