Trajectory of performance: The role of selection criteria on student achievement in a Bachelor of Oral Health programme.

Background: To determine whether discontinuing the Undergraduate Medicine and Health Sciences Admissions Test (UMAT) in 2011 for selection and changes to the South Australian Certificate of Education (SACE) requirements in 2012 when the new Australian Tertiary Admissions Rank (ATAR) was introduced impacted on students' accumulative level of achievement and performance in the Bachelor of Oral Health (BOH) programme.

Methods: Board of Examiner's course results for end of year performance were collected for BOH cohorts from 2006 to 2017 (n = 347). Overall performance and achievement level attained were calculated and formed the dependent variables, Performance and Achievement.

Income trajectories affect treatment of dental caries from childhood to young adulthood: a birth cohort study.

We aimed to analyze the effects of family income trajectories on the increase in dental caries from childhood to young adulthood. Data from the 1993 Pelotas (Brazil) birth cohort study, in which dental caries was measured at ages 6, 12, and 18 years, were analyzed. Family income of 302 participants was assessed at birth, and at 4, 11, 15, and 18 years of age.

Preventive benefit of access to fluoridated water for young adults.

Unlabelled: Water fluoridation has been repeatedly associated with lower caries experience in children but uncertainty still exists on strength and extent of the association into adulthood.

Objective: To analyze the preventive effect of access to fluoridated water on dental caries among young adults.

Methods: In 1991/92 a cross-section of South Australian children aged 5-17 were recruited.

Discrete-time analogs for a class of continuous-time recurrent neural networks.

This paper is concerned with the problem of local and global asymptotic stability for a class of discrete-time recurrent neural networks, which provide discrete-time analogs to their continuous-time counterparts, i.e., continuous-time recurrent neural networks with distributed delay.

On stability of recurrent neural networks--an approach from volterra integro-differential equations.

The uniform asymptotic stability of recurrent neural networks (RNNs) with distributed delay is analyzed by comparing RNNs to linear Volterra integro-differential systems under Lipschitz continuity of activation functions. The stability criteria obtained have unified and extended many existing results on RNNs.