Truckies and health promotion: A “hard-to-reach” group without a “proper” workplace.

This literature review was undertaken to inform a settings based health promotion research project, conducted by a public health research team at the Queensland University of Technology (QUT). The aim of this project is to identify how transport workplaces can support their truck drivers to access healthy food options and increase physical activity. Truck drivers in Australia are at increased risk of numerous chronic diseases, in part due to the restrictions placed upon them by the environment in which they work. Barriers to good health through adequate nutrition and physical activity are the result of a complex interaction between government regulations, corporate policies, the built environment and individual factors. Few interventions target this population in a meaningful and sustainable way, though evidence exists for interventions which can be translated into truck drivers working environment.

The quest for golden bananas: Investigating carotenoid regulation in a Fe’i group Musa cultivar

The regulation of carotenoid biosynthesis in a high-carotenoid-accumulating Fe’i group Musa cultivar, “Asupina”, has been examined and compared to that of a low-carotenoid-accumulating cultivar, “Cavendish”, to understand the molecular basis underlying carotenogenesis during banana fruit development. Comparisons in the accumulation of carotenoid species, expression of isoprenoid genes, and product sequestration are reported. Key differences between the cultivars include greater carotenoid cleavage dioxygenase 4 (CCD4) expression in “Cavendish” and the conversion of amyloplasts to chromoplasts during fruit ripening in “Asupina”. Chromoplast development coincided with a reduction in dry matter content and fruit firmness. Chromoplasts were not observed in “Cavendish” fruits. Such information should provide important insights for future developments in the biofortification and breeding of banana.

IMIA working group on health record banking - How complex systems can cooperate towards having individual's consolidated data

This workshop aims at discussing alternative approaches to resolving the problem of health information fragmentation, partially resulting from difficulties of health complex systems to semantically interact at the information level. In principle, we challenge the current paradigm of keeping medical records where they were created and discuss an alternative approach in which an individual's health data can be maintained by new entities whose sole responsibility is the sustainability of individual-centric health records. In particular, we will discuss the unique characteristics of the European health information landscape. This workshop is also a business meeting of the IMIA Working Group on Health Record Banking.

Modelling Cued-Target Recall using Quantum Inspired Models of Target Activation

This article presents and evaluates Quantum Inspired models of Target Activation using Cued-Target Recall Memory Modelling over multiple sources of Free Association data. Two components were evaluated: Whether Quantum Inspired models of Target Activation would provide a better framework than their classical psychological counterparts and how robust these models are across the different sources of Free Association data. In previous work, a formal model of cued-target recall did not exist and as such Target Activation was unable to be assessed directly. Further to that, the data source used was suspected of suffering from temporal and geographical bias. As a consequence, Target Activation was measured against cued-target recall data as an approximation of performance. Since then, a formal model of cued-target recall (PIER3) has been developed [10] with alternative sources of data also becoming available. This allowed us to directly model target activation in cued-target recall with human cued-target recall pairs and use multiply sources of Free Association Data. Featural Characteristics known to be important to Target Activation were measured for each of the data sources to identify any major differences that may explain variations in performance for each of the models. Each of the activation models were used in the PIER3 memory model for each of the data sources and was benchmarked against cued-target recall pairs provided by the University of South Florida (USF). Two methods where used to evaluate performance. The first involved measuring the divergence between the sets of results using the Kullback Leibler (KL) divergence with the second utilizing a previous statistical analysis of the errors [9]. Of the three sources of data, two were sourced from human subjects being the USF Free Association Norms and the University of Leuven (UL) Free Association Networks. The third was sourced from a new method put forward by Galea and Bruza, 2015 in which pseudo Free Association Networks (Corpus Based Association Networks - CANs) are built using co-occurrence statistics on large text corpus. It was found that the Quantum Inspired Models of Target Activation not only outperformed the classical psychological model but was more robust across a variety of data sources.