Deterministic Chaos in Blood Pressure Signals During Different Physiological Conditions

Several coupled and nonlinear controlling mechanisms are involved in the regulation of blood pressure. The possible presence of chaos in physiological signals has been the subject of some research. In this study, blood pressure signals were analysed using a range of nonlinear time series analysis techniques. Individual effectors of blood pressure were either experimentally removed or enhanced, so that the controlling mechanisms that are responsible for the chaotic nature of the signals may be identified by chaotic analysis of the signals. The level of chaos varied across the different experimental conditions, showing a distinct decrease from control conditions to all other experimental conditions

Deterministic Chaos in Blood Pressure Signals During Different Physiological Conditions

Several coupled and nonlinear controlling mechanisms are involved in the regulation of blood pressure. The possible presence of chaos in physiological signals has been the subject of some research. In this study, blood pressure signals were analysed using a range of nonlinear time series analysis techniques. Individual effectors of blood pressure were either experimentally removed or enhanced, so that the controlling mechanisms that are responsible for the chaotic nature of the signals may be identified by chaotic analysis of the signals. The level of chaos varied across the different experimental conditions, showing a distinct decrease from control conditions to all other experimental conditions

Perspectives on Enabling Education for Indigenous Students at Three Comprehensive Universities in Regional Australia

Daniels, CR ORCiD: 0000-0002-0672-0450Indigenous students, particularly those from regional and remote areas, are under-represented in both higher education and vocational education in Australia. Enabling programs seek to address this under-representation. They offer pathways to higher education, are important in lifting participation rates and potentially encourage mobility between the sectors. However, strategic development of enabling programs is based on little evidence about student or staff experiences. This chapter presents a qualitative research project underpinned by the strengths-based approach of conscientisation, exploring how Indigenous learning journeys via enabling programs can respect and grow cultural identity, while simultaneously developing study skills. The research considered interpretations of ‘success’ from the perspectives of students and teachers participating in enabling courses. The research found that enabling programs were an ‘important’ and ‘exciting journey’ for students that brought about transformation of the inner self through the building of ‘resilience’, ‘strength’, ‘confidence’, ‘self-esteem’, ‘self-worth’, ‘cultural understanding’ and ‘identity’. Success was experienced across multiple dimensions of students’ lived experience including ‘cultural identity’, ‘voice’, self-realisation, self-acceptance and ‘pride’. Staff suggested that enabling programs imparted an ‘underlying layer’ of skills. Recognition of Indigenous people as ‘yarners’ and ‘story tellers’, along with ways of incorporating ‘both-ways’ methodologies, need to be considered when developing the curriculum. This chapter reports on research which will be used to inform the development of a best-practice framework for Indigenous education enabling programs in Australia, particularly in regional and comprehensive education settings

Household Responses to School Closure Resulting from Outbreak of Influenza B, North Carolina

Parents accepted school closure during an outbreak, but children’s presence in other public settings has implications for pandemic planning

Demand-side characterisation of the smart city for energy modelling.

AbstractThis paper presents a new methodology for characterising the energy performance of buildings suitable for city-scale, top-down energy modelling. Building properties that have the greatest impact on simulated energy performance were identified via a review of sensitivity analysis studies. The methodology greatly simplifies the description of a building to decrease labour and simulation processing overheads. The methodology will be used in the EU FP7 INDICATE project which aims to create a master-planning tool that uses dynamic simulation to facilitate the design of sustainable, energy efficient smart cities