The equity raw-score matrix - a multi-dimensional indicator of potential disadvantage in higher education

Issues surrounding student participation, transition, retention and successful completion in higher education are topical. While the Australian federal government has identified broad groupings of under-represented students, these do not shed light on the complexities underlying the issues of the educationally disadvantaged, such as the compounding problems of multiple equity-group membership or the overlay of the acute or chronic effects of equity sub-group membership. This paper details the Equity Raw-Score Matrix. The matrix is a multi-dimensional indicator of potential disadvantage in learners, created for the specific purposes of diagnosing the complexities of educational disadvantage and creating pre-emptive strategies for the participation, transition and retention of students who are disadvantaged. The paper also describes the qualitative research study that was the catalyst for the creation of the matrix.

Understanding the multidimensional nature of student disadvantage to better inform the provision of 'glocal' learning

There are growing calls to make equity a focus of research concern in Australian higher education. In turn such research will, it is anticipated, inform the planning, delivery and implementation of education in an era of rapid global and technological change. Yet to undertake such research requires generating a greater understanding of the complex and multidimensional nature of educational disadvantage for the purposes of equity. This paper explores the Equity Raw-Score Matrix as a means of capturing economic, geographic and social disadvantage.

Outcomes of population based language promotion for slow to talk toddlers at ages 2 and 3 years: let’s learn language cluster randomised controlled trial

Objective To determine the benefits of a low intensity parent-toddler language promotion programme delivered to toddlers identified as slow to talk on screening in universal services.
Design Cluster randomised trial nested in a population based survey.
Setting Three local government areas in Melbourne, Australia.
Participants Parents attending 12 month well child checks over a six month period completed a baseline questionnaire. At 18 months, children at or below the 20th centile on an expressive vocabulary checklist entered the trial.
Intervention Maternal and child health centres (clusters) were randomly allocated to intervention (modified “You Make the Difference” programme over six weekly sessions) or control (“usual care”) arms.
Main outcome measures The primary outcome was expressive language (Preschool Language Scale-4) at 2 and 3 years; secondary outcomes were receptive language at 2 and 3 years, vocabulary checklist raw score at 2 and 3 years, Expressive Vocabulary Test at 3 years, and Child Behavior Checklist/1.5-5 raw score at 2 and 3 years.
Results 1217 parents completed the baseline survey; 1138 (93.5%) completed the 18 month checklist, when 301 (26.4%) children had vocabulary scores at or below the 20th centile and were randomised (158 intervention, 143 control). 115 (73%) intervention parents attended at least one session (mean 4.5 sessions), and most reported high satisfaction with the programme. Interim outcomes at age 2 years were similar in the two groups. Similarly, at age 3 years, adjusted mean differences (intervention−control) were −2.4 (95% confidence interval −6.2 to 1.4; P=0.21) for expressive language; −0.3 (−4.2 to 3.7; P=0.90) for receptive language; 4.1 (−2.3 to 10.6; P=0.21) for vocabulary checklist; −0.5 (−4.4 to 3.4; P=0.80) for Expressive Vocabulary Test; −0.1 (−1.6 to 1.4; P=0.86) for externalising behaviour problems; and −0.1 (−1.3 to 1.2; P=0. 92) for internalising behaviour problems.
Conclusion This community based programme targeting slow to talk toddlers was feasible and acceptable, but little evidence was found that it improved language or behaviour either immediately or at age 3 years.

Alteration of the pharmacokinetics of COL-3, a matrix metalloproteinase inhibitor, due to actue gastrointestinal tosicity of doxorubicin

Purpose Combination of COL-3, a matrix metalloproteinase inhibitor, and doxorubicin (DOX) might be a promising anticancer regimen. The present study was to examine the potential pharmacokinetic interactions and toxicity profile following their coadministration in rats.
Methods Normal rats were treated with single agent or different combinations with oral or intravenous COL-3 and DOX, and the bile-duct cannulated (BDC) rats received oral COL-3 plus DOX. In a separate disposition study, the effects of DOX on the biliary, urinary, and fecal excretion of COL-3 were examined. In addition, the effects of DOX on in vitro protein binding, metabolism, and transport of COL-3 across Caco-2 monolayers were investigated.
Results COL-3 did not affect the pharmacokinetics of DOX in rats. However, treatment with DOX significantly decreased the oral absorption, and prolonged the elimination, of COL-3 in the normal rats, but not in the BDC rats. DOX did not alter the biliary and urinary excretion of COL-3, but significantly decreased the fecal excretion of COL-3. DOX significantly enhanced the basolateral to apical flux of COL-3 across Caco-2 monolayers, but had no apparent effects on the protein binding and metabolism of COL-3. The combination of DOX with oral COL-3 did not significantly (p > 0.05) increase the acute diarrhea score and intestinal damage compared to rats receiving DOX alone.
Conclusions These results indicated that DOX altered the oral absorption and elimination of COL-3, largely resulting from gastrointestinal toxicity caused by biliary excretion of DOX. Further studies are required to explore the efficacy and optimized dosage regimen of this promising combination.

Efficient subwindow search with submodular score functions

Subwindow search aims to find the optimal subimage which maximizes the score function of an object to be detected. After the development of the branch and bound (B&B) method called Efficient Subwindow Search (ESS), several algorithms (IESS [2], AESS [2], ARCS [3]) have been proposed to improve the performance of ESS. For nn images, IESS's time complexity is bounded by O(n³) which is better than ESS, but only applicable to linear score functions. Other work shows that Monge properties can hold in subwindow search and can be used to speed up the search to O(n³), but only applies to certain types of score functions. In this paper we explore the connection between submodular functions and the Monge property, and prove that sub-modular score functions can be used to achieve O(n³) time complexity for object detection. The time complexity can be further improved to be sub-cubic by applying B&B methods on row interval only, when the score function has a multivariate submodular bound function. Conditions for sub-modularity of common non-linear score functions and multivariate submodularity of their bound functions are also provided, and experiments are provided to compare the proposed approach against ESS and ARCS for object detection with some nonlinear score functions.

Perceived fairness of pay among people with and without disabilities: a propensity score matched analysis of working Australians

OBJECTIVES: Equity and fairness at work are associated with a range of organizational and health outcomes. Past research suggests that workers with disabilities experience inequity in the workplace. It is difficult to conclude whether the presence of disability is the reason for perceived unfair treatment due to the possible confounding of effect estimates by other demographic or socioeconomic factors. METHODS: The data source was the Household, Income, and Labor Dynamics in Australia (HILDA) survey (2001-2012). Propensity for disability was calculated from logistic models including gender, age, education, country of birth, and father's occupational skill level as predictors. We then used nearest neighbor (on propensity score) matched analysis to match workers with disabilities to workers without disability. RESULTS: Results suggest that disability is independently associated with lower fairness of pay after controlling for confounding factors in the propensity score matched analysis; although results do suggest less than half a standard deviation difference, indicating small effects. Similar results were apparent in standard multivariable regression models and alternative propensity score analyses (stratification, covariate adjustment using the propensity score, and inverse probability of treatment weighting). CONCLUSIONS: Whilst neither multivariable regression nor propensity scores adjust for unmeasured confounding, and there remains the potential for other biases, similar results for the two methodological approaches to confounder adjustment provide some confidence of an independent association of disability with perceived unfairness of pay. Based on this, we suggest that the disparity in the perceived fairness of pay between people with and without disabilities may be explained by worse treatment of people with disabilities in the workplace.