The Medics - "Foundations"

The Medics “Foundations” is a full-length album of popular music completed over a 13-month period and released in 2012, with work taking place in Byron Bay’s 301 studios and Brisbane’s Airlock studios. “Foundations” contributes to studies in the field of music production, as well as furthering research into the place of Indigenous youth culture within contemporary rock music. The music draws on elements of folk, post rock and hardcore to create a dynamic and cinematic sound, framed by lyrics that focus on spirituality, nature and a connection to the land. Artists such as At the Drive In and Mars Volta were referenced in the production of the record. Scholars such as Joe Bennett have argued that the relationship between songwriting practice and song product is an under-explored area in popular musicology, and, by using a practice-led research methodology, the production of “Foundations” extends these creative inquiries. “Foundations” was produced with the assistance of a competitive grant, the Cultural Minister’s Council Breakthrough initiative, which assists emerging Indigenous contemporary musicians. The album was well received and positively reviewed, resulting in the band signing a record deal with Warner Music and a publishing deal with Albert’s Music. It was album of the week on Triple J and several singles were placed on high rotation. A review on Themusic.com.au highlighted the production work: “Producer Yanto Browning has captured the impassioned live intent the band have built their reputation on and bottled it into 11 impeccable tracks, the album maintaining their onstage vigour while polishing it just enough to allow it to burn brightly through the speakers.” As a result of the record, The Medics were invited to play Splendour in the Grass, the national Big Day Out tour and a series of shows in South America.

Beyond ethnography: Engagement and reciprocity as foundations for design research out here

This paper explores an emerging paradigm for HCI design research based primarily upon engagement, reciprocity and doing. Much HCI research begins with an investigatory and analytic ethnographic approach before translating to design. Design may come much later in the process and may never benefit the community that is researched. However in many settings it is difficult for researchers to access the privileged ethnographer position of observer and investigator. Moreover rapid ethnographic research often does not seem the best or most appropriate course of action. We draw upon a project working with a remote Australian Aboriginal community to illustrate an alternative approach in Indigenous research, where the notion of reciprocity is first and foremost. We argue that this can lead to sustainable designs, valid research and profound innovation. This paper received the ACM CHI Best Paper Award, which is awarded to the top 1% of papers submitted to the ACM CHI conference.

Statistical analysis of reduction in tensile strength of cotton strips as a measure of soil microbial activity

The cotton strip assay (CSA) is an established technique for measuring soil microbial activity. The technique involves burying cotton strips and measuring their tensile strength after a certain time. This gives a measure of the rotting rate, R, of the cotton strips. R is then a measure of soil microbial activity. This paper examines properties of the technique and indicates how the assay can be optimised. Humidity conditioning of the cotton strips before measuring their tensile strength reduced the within and between day variance and enabled the distribution of the tensile strength measurements to approximate normality. The test data came from a three-way factorial experiment (two soils, two temperatures, three moisture levels). The cotton strips were buried in the soil for intervals of time ranging up to 6 weeks. This enabled the rate of loss of cotton tensile strength with time to be studied under a range of conditions. An inverse cubic model accounted for greater than 90% of the total variation within each treatment combination. This offers support for summarising the decomposition process by a single parameter R. The approximate variance of the decomposition rate was estimated from a function incorporating the variance of tensile strength and the differential of the function for the rate of decomposition, R, with respect to tensile strength. This variance function has a minimum when the measured strength is approximately 2/3 that of the original strength. The estimates of R are almost unbiased and relatively robust against the cotton strips being left in the soil for more or less than the optimal time. We conclude that the rotting rate X should be measured using the inverse cubic equation, and that the cotton strips should be left in the soil until their strength has been reduced to about 2/3.

Field validation of controlled Monte Carlo data generation for statistical damage identification employing Mahalanobis squared distance

This article presents the field applications and validations for the controlled Monte Carlo data generation scheme. This scheme was previously derived to assist the Mahalanobis squared distance–based damage identification method to cope with data-shortage problems which often cause inadequate data multinormality and unreliable identification outcome. To do so, real-vibration datasets from two actual civil engineering structures with such data (and identification) problems are selected as the test objects which are then shown to be in need of enhancement to consolidate their conditions. By utilizing the robust probability measures of the data condition indices in controlled Monte Carlo data generation and statistical sensitivity analysis of the Mahalanobis squared distance computational system, well-conditioned synthetic data generated by an optimal controlled Monte Carlo data generation configurations can be unbiasedly evaluated against those generated by other set-ups and against the original data. The analysis results reconfirm that controlled Monte Carlo data generation is able to overcome the shortage of observations, improve the data multinormality and enhance the reliability of the Mahalanobis squared distance–based damage identification method particularly with respect to false-positive errors. The results also highlight the dynamic structure of controlled Monte Carlo data generation that makes this scheme well adaptive to any type of input data with any (original) distributional condition.

Multivariate statistical analysis of hydrochemical data to assess alluvial aquifer–stream connectivity during drought and flood : Cressbrook Creek, southeast Queensland, Australia

A catchment-scale multivariate statistical analysis of hydrochemistry enabled assessment of interactions between alluvial groundwater and Cressbrook Creek, an intermittent drainage system in southeast Queensland, Australia. Hierarchical cluster analyses and principal component analysis were applied to time-series data to evaluate the hydrochemical evolution of groundwater during periods of extreme drought and severe flooding. A simple three-dimensional geological model was developed to conceptualise the catchment morphology and the stratigraphic framework of the alluvium. The alluvium forms a two-layer system with a basal coarse-grained layer overlain by a clay-rich low-permeability unit. In the upper and middle catchment, alluvial groundwater is chemically similar to streamwater, particularly near the creek (reflected by high HCO3/Cl and K/Na ratios and low salinities), indicating a high degree of connectivity. In the lower catchment, groundwater is more saline with lower HCO3/Cl and K/Na ratios, notably during dry periods. Groundwater salinity substantially decreased following severe flooding in 2011, notably in the lower catchment, confirming that flooding is an important mechanism for both recharge and maintaining groundwater quality. The integrated approach used in this study enabled effective interpretation of hydrological processes and can be applied to a variety of hydrological settings to synthesise and evaluate large hydrochemical datasets.

Plasma foundations and nanoscience : the plasma-plasmonics junction

Plasma science and plasmonics are connected by very similar physics, in particular, the notion of collective plasma waves and oscillations. This article provides a brief history of the junction between plasmas and plasmonics as well as highlights a few fundamental physical links.

A statistical approach to quantify the impact on voltage quality caused by PV generators

A probabilistic method is proposed to evaluate voltage quality of grid-connected photovoltaic (PV) power systems. The random behavior of solar irradiation is described in statistical terms and the resulting voltage fluctuation probability distribution is then derived. Reactive power capabilities of the PV generators are then analyzed and their operation under constant power factor mode is examined. By utilizing the reactive power capability of the PV-generators to the full, it is shown that network voltage quality can be greatly enhanced.

Performance Measurement in Perspective: An exploratory study of Australian foundations’ approaches to performance measurement

Performance measurement in Australian philanthropic foundations is a hot topic. Foundation staff and board members are concerned with striking the right balance between their need for information with which to assess the effectiveness of their grant-making programs, and the costs in both time and money for grantees. Influenced by normative pressures, the increasing size and professionalism of the Australian philanthropic sector, and trends from the U.S.A and the U.K, foundations are talking amongst themselves, seeking expert advice and training, consulting with grantees and trying different approaches. Many resources examine methods of data collection, measurement or analysis. Our study instead treads into less charted but important territory: the motivations and values that are shaping the debate about performance measurement. In a series of 40 interviews with foundations from Queensland, New South Wales, Victoria and South Australia, we asked whether they felt under pressure to measure performance and if so, why. We queried whether everyone in the foundation shared the same views on the purposes of performance measurement; and the ways in which the act of performance measurement changed their grant-making, their attitude to risk, their relationship with grantees and their collaborations with other funders. Unsurprisingly, a very diverse set of approaches to performance measurement were revealed.

The social foundations of risk

Ulrich Beck's argument about risk society emphasises, among other things, the pervasiveness of risk. As a feature of the human condition in the contemporary, globalised, world that distinguishes the present from the past, risk is widespread across society and affects all social strata. While Beck has gestured towards the irregular distribution of contemporary risks, nonetheless he has suggested that traditional structural entities – class and wealth – no longer provide the key interpretive frameworks for the calculation of susceptibility. In short, the tentacles of risk are long and almost no one is out of reach. Yet, while the risk society thesis has generated a large theoretical literature, there is very little in the way of research that marries theorising to original data collection. This paper represents an attempt to address this gap by using empirical data to investigate whether risk is more textured than Beck's account suggests. Focusing on health as a domain of risk, the paper uses data from a national sample survey of the Australian electorate to investigate the extent to which social divisions structure perceptions of risk within the general population. The findings suggest that various aspects of social stratification, such as income, occupation and education, do indeed play a role in shaping perceptions of risk.