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Carbon farming presents an opportunity for the land sector to generate income and transition to more sustainable land management practices. In Australia, establishing a carbon project and earning carbon credits is complex, with project proponents needing to satisfy eligibility requirements and adhere to rigorous measurement, verification, and reporting protocols of approved methods. To address these challenges, a human centered design (HCD) approach was used to deliver a digital solution, serving landowners' needs related to method discovery and reconfiguring how the methodological and scientific complexity of abatement potentials was delivered. The solution, called LOOC-C (pronounced "Look-see"), supports the discovery of abatement methods that are available for a given land area and provides an initial estimate of the potential quantum of carbon sequestered/emitted and the nature of co-benefits associated with each eligible method. Reporting on LOOC-C development and its observed impact demonstrates the role that human centered digital tools have in promoting land management actions that are both sustainable and reasonable to undertake. It equally demonstrates the power of integrating environmental market and user requirements with a robust design methodology. With similar opportunities in environmental markets globally, additional applications of an HCD approach are proposed. In 2012, the Australian government established the Emissions Reduction Fund (ERF) to reward landowners (via awarding Australian Carbon Credit Units, or ACCUs) for the implementation of management practices that either sequester carbon and/or reduce emissions of greenhouse gases. Rigorous eligibility and method requirements are intended to provide confidence in abatement outcomes, but they introduce significant complexity that participants must overcome. 11 years later, uncertainties in the implementation and ACCU generation potential of ERF projects and implications on productivity/co-benefits have limited uptake and the quantum of ACCU generation of land sector enterprises. Digital tools that support the discovery of options and provide estimated potential outcomes, such as the LOOC-C tool described in this paper (), can generate interest and empowerment, helping to initiate decisions toward market participation. [ABSTRACT FROM AUTHOR]

Background: Splenectomy is an effective intervention in primary immune thrombocytopenia (ITP). Attempts to define pre‐clinical predictors of platelet response to splenectomy are inconsistent. Based on international studies defining the likelihood of platelet response using platelet sequestration, patients with relapsed/refractory ITP being considered for splenectomy at a regional Australian hospital were assessed with 111indium‐labelled autologous platelet sequestration (ILAPS) studies. Aims: To audit the use of ILAPS in an Australian setting and define its role in predicting response to splenectomy. Methods: A retrospective review of all patients referred for an ILAPS study at a regional hospital was performed. Results for each patient were expressed as an 'R' value (spleen/ liver uptake ratio) to quantify the platelet sequestration pattern and outcome post‐splenectomy, based on platelet counts. Results: A total of 45 patients was identified: 13 underwent splenectomy and 32 were medically managed. Patients with favourable ILAPS scans (pure or predominant splenic sequestration) demonstrated a superior response post‐splenectomy (100% overall response rate (ORR); 83.5% complete remission (CR)) compared with those with unfavourable ILAPS scans (mixed or pure hepatic sequestration) (71.4% ORR; 57.1% CR) over 12 months. Conclusions: The use of ILAPS in the Australian setting is feasible and this experience confirms larger international studies demonstrating its utility as a predictor of response to splenectomy in ITP. An unfavourable ILAPS scan could be considered a negative predictor of response prompting consideration for other emerging ITP treatments such as thrombopoietin‐receptor agonists or B‐cell depleting therapy such as Rituximab. [ABSTRACT FROM AUTHOR]

We study the level and quality of value‐at‐risk (VaR) disclosure at Australian banks. We find that Australian banks have increased disclosure about their VaR recently, reaching a level post‐crisis that is similar to other regulatory jurisdictions. We find that the actual VaR estimates produced by banks are generally rejected by standard backtesting procedures. During quiet periods bank VaRs are too high, while during high volatility stress periods bank VaRs are too low. We are able to reject the null hypothesis that the daily VaRs for two banks are the 1st percentile using a quantile regression‐based test. [ABSTRACT FROM AUTHOR]

There are no published data on Australian adult cystic fibrosis (CF) patient outcomes post bronchial arterial embolisation (BAE). We report 20 years of experience of BAE at a major Australian tertiary adult CF centre, where 46 patients underwent 100 BAE during this period. Mortality rate was comparable to previous studies (4% per year) and most who died had repeat BAE requirements. A higher proportion (9 out of 45) of patients were transplanted compared to previous publications. Repeat BAE was common and significantly higher in patients already on tranexamic acid. [ABSTRACT FROM AUTHOR]

Vulnerability models for housing during extreme wind events are a critical part of modern catastrophe modelling used to inform insurance pricing, policy-making, emergency management, etc. Historically, the most robust vulnerability model development has taken place in the US. However, since structural systems in the US differ significantly, it is important that Australia-specific models are available and fully described in the literature. Development in Australia has continuously progressed since early works of the 1970s, although much of the research exists in unpublished format. Models from unpublished studies have been used broadly in academia, insurance and by policymakers, in many cases without a clear understanding of underlying assumptions and limitations. The aim of this paper is to provide a review and clarification of these models and introduce the Vulnerability and Adaption to Wind Simulation (VAWS) model, which takes an engineering-based approach. An overview of VAWS program logic and engineering assumptions is presented in addition to a comparison of outputs for one cyclonic region house type with existing models and insurance claims data. For the housing style considered, results suggest that VAWS can provide a better estimate of vulnerability than existing Australian models and those from abroad, not specific to Australian construction. [ABSTRACT FROM AUTHOR]

Purpose: Australian data regarding the management of patients with bronchiectasis is scarce. We sought to compare the management of adults with bronchiectasis attending tertiary Australian centres with recent national and international guidelines. Methods: The Australian Bronchiectasis Registry is a centralised database of patients with radiologically confirmed bronchiectasis unrelated to cystic fibrosis recruited from 14 tertiary Australian hospitals. We excluded children (<18 years) and those with incomplete data, leaving 589 adults for cross-sectional analyses. We compared the proportion of patients receiving certain therapies, as compared to the proportion eligible for those treatments according to the current guidelines and baseline clinical information available from the registry. Results: Pulmonary rehabilitation was attended by 22%, although it was indicated in 67% of the cohort. Airway clearance was undertaken in 52% of patients, although 71% reported chronic productive cough. Sputum bacterial culture results were available for 59%, and mycobacterial culture results were available for 29% of the cohort. Inhaled antibiotics were used in half of potentially eligible patients. Despite guideline recommendations against routine use, inhaled corticosteroids were used in 48% of patients. Long-term macrolides were used in 28% of participants. Conclusions: Discrepancies exist between guideline recommendations and real-world treatment of bronchiectasis in Australia, even in tertiary centres. These findings suggest the need for increased patient referral to pulmonary rehabilitation, increased attention to airway clearance, increased collection of sputum samples (especially for mycobacterial culture) and rationalisation of inhaled corticosteroid use. These findings encourage a review of treatment access and will inform ongoing education to promote evidence-based care for people living with bronchiectasis. [ABSTRACT FROM AUTHOR]

Musculoskeletal injuries are reported as burdening the military. An identified risk factor for injury is carrying heavy loads; however, soldiers are also required to wear their load as body armour. To investigate the effects of body armour on trunk and hip kinematics during military-specific manual handling tasks, 16 males completed 3 tasks while wearing each of 4 body armour conditions plus a control. Three-dimensional motion analysis captured and quantified all kinematic data. Average trunk flexion for the weightiest armour type was higher compared with control during the carry component of the ammunition box lift (p < 0.001) and sandbag lift tasks (p < 0.001). Trunk rotation ROM was lower for all armour types compared with control during the ammunition box place component (p < 0.001). The altered kinematics with body armour occurred independent of armour design. In order to optimise armour design, manufacturers need to work with end-users to explore how armour configurations interact with range of personal and situational factors in operationally relevant environments. Practitioner Summary:Musculoskeletal injuries are reported as burdening the military and may relate to body armour wear. Body armour increased trunk flexion and reduced trunk rotation during military-specific lifting and carrying tasks. The altered kinematics may contribute to injury risk, but more research is required. [ABSTRACT FROM AUTHOR]

This study examined the trunk postures and upper-body muscle activations during four physically demanding wildfire suppression tasks. Bilateral, wireless surface electromyography was recorded from the trapezius and erector spinae muscles of nine experienced, wildfire fighters. Synchronised video captured two retroreflective markers to allow for quantification of two-dimensional sagittal trunk flexion. In all tasks, significantly longer time was spent in the mild and severe trunk flexion (p≤  0.002) compared to the time spent in a neutral posture. Mean and peak muscle activation in all tasks exceeded previously established safe limits. These activation levels also significantly increased through the performance of each task (p<  0.001). The results suggest that the wildfire suppression tasks analysed impose significant musculoskeletal demand on firefighters. Fire agencies should consider developing interventions to reduce the exposure of their personnel to these potentially injurious musculoskeletal demands. Practitioner Summary:Wildfire fighters adopt high-risk trunk postures and utilise high levels of upper-body muscle activity to perform wildfire suppression tasks. This combination places these workers at elevated risk of musculoskeletal injury. Interventions should be developed to manage the injury exposure risk of this vital workforce. [ABSTRACT FROM AUTHOR]

The automated collection of data (e.g., through sensor networks) has led to amassive increase in the quantity of environmental and other data available. The sheer quantity of data and growing need for real-time ingestion of sensor data (e.g., alerts and forecasts from physical models) means that automated Quality Assurance/Quality Control (QA/QC) is necessary to ensure that the data collected is fit for purpose. Current automated QA/QC approaches provide assessments based upon hard classifications of the gathered data; often as a binary decision of good or bad data that fails to quantify our confidence in the data for use in different applications. We propose a novel framework for automated data quality assessments that uses Fuzzy Logic to provide a continuous scale of data quality. This continuous quality scale is then used to compute error bars upon the data, which quantify the data uncertainty and provide a more meaningful measure of the data's fitness for purpose in a particular application compared with hard quality classifications. The design principles of the framework are presented and enable both data statistics and expert knowledge to be incorporated into the uncertainty assessment. We have implemented and tested the framework upon a real time platform of temperature and conductivity sensors that have been deployed to monitor the Derwent Estuary in Hobart, Australia. Results indicate that the error bars generated from the Fuzzy QA/QC implementation are in good agreement with the error bars manually encoded by a domain expert. [ABSTRACT FROM AUTHOR]