Perspectives of sporting opportunities for remote indigenous Cape York communities

The health outcomes for Indigenous peoples are well publicised as being poorer than that of the rest of the Australian population. The importance of physical activity as part of a balanced approach to health and wellbeing are well documented. Physical inactivity is a significant risk factor for many preventable diseases that many non-Indigenous, but specifically more Indigenous peoples die from. A recent report on Indigenous health indicated that only 23% of adults living in remote and very remote areas, such as Cape York, participated in regular physical activity. Physical activity initiatives in remote Indigenous communities on Cape York are commonly delivered by external agencies that ‘fly in and fly out’. While members of Indigenous communities may engage with the initiatives while they are being provided once the external agencies leave some of the benefits made may be quickly lost. There is no current published literature on the variety, prevalence and outcomes of ‘fly-in fly-out’ physical activity programs, or on the agencies that provide them. An understanding of these factors would facilitate a better understanding of the opportunities available to Indigenous communities on Cape York and provide important foregrounding to an investigation of community capacity for physical activity. The purpose of this study was to investigate the range of physical activity programs being offered by external agencies to Indigenous Cape York communities.

Methods: Five physical activity agencies that routinely engaged with Indigenous communities on Cape York were interviewed. The semi-structured interviews focussed on what activities were being conducted; by whom; when; and their concomitant outcomes. Interviews were recorded and professionally transcribed. Transcriptions were then analysed using content analysis to identify themes.

Results: Each physical activity agency had a variety of ways of engaging with community. The key initial focus point for each provider was the local school. Contacts within the school and opportunities to provide workshop opportunities for the students then facilitated wider community engagement.

Discussion: There were limited opportunities for these agencies to build community capacity to maintain their physical activities due to a variety of reasons that included: resources (both human and material); transient populations and an entrenched culture of ‘having things done to’ rather than with Indigenous people. In order to improve the physical activity outcomes of Indigenous people on Cape York community’s strategies that engage and empower the local population to take control of their needs should be employed.

Genetic algorithm based PI controller tuning for induction motor drive with ANN flux estimator

This paper presents a Genetic Algorithm (GA) based fast speed response controller for poly-phase induction motor drive. Here the proportional and integral gains of PI controller are optimized by GA to achieve quick speed response. An adaptive Recurrent Neural Network (RNN) with Real Time Recurrent Learning (RTRL) algorithm is proposed to estimate rotor flux. An online tuning scheme to update the weight of RNN is presented to overcome stator resistance variation problem. This tuning scheme requires torque estimator to calculate the torque error. Space vector modulation (SVM) technique is used to produce the motor input voltage. Simulation tests have been performed to study the dynamic performances of the drive system for both the classical PI and the genetic algorithm based PI controllers.

A colostrum trypsin inhibitor gene expressed in the Cape fur seal mammary gland during lactation

The colostrum trypsin inhibitor (CTI) gene and transcript were cloned from the Cape fur seal mammary gland and CTI identified by in silico analysis of the Pacific walrus and polar bear genomes (Order Carnivora), and in marine and terrestrial mammals of the Orders Cetartiodactyla (yak, whales, camel) and Perissodactyla (white rhinoceros). Unexpectedly, Weddell seal CTI was predicted to be a pseudogene. Cape fur seal CTI was expressed in the mammary gland of a pregnant multiparous seal, but not in a seal in its first pregnancy. While bovine CTI is expressed for 24-48h postpartum (pp) and secreted in colostrum only, Cape fur seal CTI was detected for at least 2-3months pp while the mother was suckling its young on-shore. Furthermore, CTI was expressed in the mammary gland of only one of the lactating seals that was foraging at-sea. The expression of β-casein (CSN2) and β-lactoglobulin II (LGB2), but not CTI in the second lactating seal foraging at-sea suggested that CTI may be intermittently expressed during lactation. Cape fur seal and walrus CTI encode putative small, secreted, N-glycosylated proteins with a single Kunitz/bovine pancreatic trypsin inhibitor (BPTI) domain indicative of serine protease inhibition. Mature Cape fur seal CTI shares 92% sequence identity with Pacific walrus CTI, but only 35% identity with BPTI. Structural homology modelling of Cape fur seal CTI and Pacific walrus trypsin based on the model of the second Kunitz domain of human tissue factor pathway inhibitor (TFPI) and porcine trypsin (Protein Data Bank: 1TFX) confirmed that CTI inhibits trypsin in a canonical fashion. Therefore, pinniped CTI may be critical for preventing the proteolytic degradation of immunoglobulins that are passively transferred from mother to young via colostrum and milk.

Development of a dynamic surface roughness monitoring system based on artificial neural networks (ANN) in milling operation

Dynamic surface roughness prediction during metal cutting operations plays an important role to enhance the productivity in manufacturing industries. Various machining parameters such as unwanted noises affect the surface roughness, whatever their effects have not been adequately quantified. In this study, a general dynamic surface roughness monitoring system in milling operations was developed. Based on the experimentally acquired data, the milling process of Al 7075 and St 52 parts was simulated. Cutting parameters (i.e., cutting speed, feed rate, and depth of cut), material type, coolant fluid, X and Z components of milling machine vibrations, and white noise were used as inputs. The original objective in the development of a dynamic monitoring system is to simulate wide ranges of machining conditions such as rough and finishing of several materials with and without cutting fluid. To achieve high accuracy of the resultant data, the full factorial design of experiment was used. To verify the accuracy of the proposed model, testing and recall/verification procedures have been carried out and results showed that the accuracy of 99.8 and 99.7 % were obtained for testing and recall processes.