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• Water retention curves (WRCs) of municipal solid wastes (MSWs) • Hysteresis of WRCs of MSWs with decomposition. • Effects of decomposition and paper content on the WRCs. • Unsaturated hydraulic and gas conductivity of MSWs. This paper investigates the drying and wetting water retention curves (WRCs) of municipal solid wastes (MSWs) with different paper contents, dry unit weights and degrees of biodegradation (DOBs). Fresh synthetic samples were prepared based on the field composition of the MSWs at Mugga Lane Landfill, the Australian Capital Territory (ACT), Australia. The degraded samples were prepared in simulators with MSWs of different initial dry unit weights and decomposition periods with leachate recirculation. The water retention curves (WRCs) of the MSWs were determined using pressure plate tests, in both drying and wetting phases. The outflow from MSWs was analysed using Gardner's method to obtain the unsaturated hydraulic conductivity. The results indicate that the WRCs of the MSWs are greatly affected by the DOB, paper content and dry unit weight. When DOB < 30 %, as DOB increases, the air-entry pressure of MSWs with paper increases, and the residual moisture content decreases regardless of paper content. With DOB > 30 %, the air entry pressure and residual water content depend on the balance between organic matter and highly decomposed organic constituents. The paper content affects the WRCs of MSWs due to its water retention capacity and change in the particle size distribution with decomposition. The increase in the dry unit weight of MSWs significantly increases the air entry pressure and residual moisture content, similar to the borehole samples with combined effects of biodegradation and increase in stress level from literature. Hysteresis effects have been observed during the drying and wetting of MSWs. The hysteresis of WRCs increases with the paper content and DOB. [ABSTRACT FROM AUTHOR]

As a trending mobility choice, e-scooters have become popular in many cities. A number of authorities have initiated shared e-scooter trial schemes to assess the feasibility of the vehicles prior to enacting official legalisation. This paper aims to provide an evidence review of shared e-scooters and investigate how existing evidence may inform long-term policies. This carries significant relevance for jurisdictions that are in a conflicting position with e-scooters, such as New South Wales (NSW), Australia whose context motivates this study. The evidence review focuses on three themes derived from experience with shared e-scooters within the broader micromobility landscape, namely: safety; where shared e-scooters fit into the modal landscape; and the environmental impacts. Findings confirm that ensuring the safety of shared e-scooters requires complex solutions, which may include a clear regulatory framework for e-scooters, safety education and skill training, innovative data collection and analysis methods, and an approach to safety management that is user-based, location-based, and time-based. In terms of modal fit policymakers should encourage first and last-mile combinations with public transport, with consideration of user characteristics; while climate impact is strongly correlated to the mode replaced by e-scooter trips. The paper provides insights for policymakers on the regulation and positioning of shared e-scooters. • Many jurisdictions are struggling to determine policies for e-scooters. • Existing e-scooter evidence sheds light on possible long-term policies. • Safety management should consider different users, locations, and times. • First and last-mile combinations with public transport should be encouraged. • Climate impact is strongly correlated to the mode replaced by e-scooter trips. [ABSTRACT FROM AUTHOR]

Loneliness contributes to mortality risk, comparable to the risks associated with smoking and obesity, although the causal determinants of loneliness remain less clear. This paper leverages mandatory stay-at-home orders in Australia as a natural experiment and employs data from a panel study to investigate the causal link between physical isolation and loneliness. By analyzing variations in the number of lockdown days experienced by respondents up until their interview dates, and utilizing difference-in-differences analyses with individual, region, and year fixed-effects estimations, we find, contrary to expectations, that the number of days in lockdown does not significantly impact loneliness. Our study examines cumulative, concurrent, and non-linear effects, and assesses external validity through community morale and peer effects during lockdowns using spatial analysis. Additionally, we delve into heterogeneous effects across various factors, such as income, age, personality, living arrangements, and remoteness, finding statistically and empirically insignificant effects. However, for extroverts and young people, we observe weak statistical significance. We investigate exclusion restrictions by analyzing factors including social contacts, internet access, job industry, and household characteristics in relation to loneliness; as well as time use and relationship satisfaction to better understand the underlying mechanism. Our study challenges the notion that 'being alone' and 'being lonely' are interchangeable concepts, providing the first empirical causal evidence of no links between the two. Furthermore, our findings refine earlier understandings of social isolation, highlighting that it likely encompasses factors beyond physical isolation. [ABSTRACT FROM AUTHOR]

• Driver preference of roadwork lane merging methods studied using a survey. • Early merge is preferred over Joint lane merge or Signalised merge. • Drivers with work zone experience prefer non-conventional merging strategies. • Experienced drivers prefer Signalised merge over Conventional merge. • Drivers with full license preferred Early merge over Conventional merge. Merging at work zones with lane closures is associated with delays and conflicts that often result in crashes. To minimize these undesirable effects of merging, researchers have studied and evaluated various merging strategies, such as Early Merge (EM), Late Merge (LM), Joint Lane Merge (JLM) and Signalized Merge (SM). While these studies provided important insights on the efficiency and safety aspects, a key gap exists in the literature where limited knowledge is available on driver preference and perceptions of the merging strategies. This paper aims to examine drivers' preferences of merging strategies and how demographic and travel characteristics influence their preference. Using an online survey of 455 drivers in Australia, data on these strategies and the Australian Conventional Merging (CM) setup were collected. This survey sample is equally split between drivers with and without work zone-related employment experience, thus capturing insights and viewpoints of both groups. Results from an ordered probit model showed that drivers with less driving experience drivers preferred CM more and SM less than the experienced drivers. The JLM strategy was less preferred by female drivers than male drivers. Non-conventional merging strategies like EM and SM were preferred over the CM strategy by those without any work zone-related employment experience than those who have such experience. These findings regarding drivers' merging strategy preferences have important implications for implementing merging strategies in future work zones, including potential improvement in driver compliance rates. [ABSTRACT FROM AUTHOR]

[Display omitted] • The geographic distribution of Rhipicephalus linnaei is much wider than previously known. • Rhipicephalus linnaei was recorded on a dingo. • The record of R. linnaei on a dingo suggest that dingoes might aid the spread of Ehrlichia canis in Australia. • We discuss possible incursion routes and how E. canis has apparently spread rapidly in Australia. The tropical brown dog tick, Rhipicephalus linnaei , is a tick of much medical, veterinary, and zoonotic importance. This tick has a nearly world-wide distribution due to its ability to survive and propagate in kennels and houses. Rhipicephalus linnaei is the vector of Ehrlichia canis , the causative agent of canine monocytic ehrlichiosis, an often debilitating disease of canids and, occasionally, humans. To prevent incursion of E. canis into Australia, dogs entering Australia have been required to have a negative immunofluorescence antibody test for E. canis. In May 2020 however, E. canis was detected in Western Australia. The detection of E. canis in Australia prompted disease investigation and concerted surveillance for R. linnaei and E. canis in regions across Australia. These investigations revealed that R. linnaei was established far beyond the previously recognised geographic range limits of this tick. In the present paper, using records from various collections, published data, and data from our network of veterinarian collaborators and colleagues, we update the current geographic range of R. linnaei in Australia. Our analyses revealed that the geographic range of R. linnaei in Australia is much wider than was previously supposed, particularly in Western Australia, and in South Australia. We also map, for the first time, where E. canis has been detected in Australia. Last, we discuss the possible routes of incursion and subsequently the factors which may have aided the spread of E. canis in Australia which led to the establishment of this pathogen in Australia. [ABSTRACT FROM AUTHOR]

Temperature cycling stability studies can be appropriately designed and utilized to ensure that drug product quality, efficacy, and safety are not compromised when materials are subjected to short term temperature excursions from intended storage that may occur during e.g., shipping, transport, or patient use. Some countries, such as Australia and Brazil, impose specific regulations that specify the need to conduct stability studies that are supportive of "real world" excursions as part of licensing approval requirements. These temperature cycling stability studies extend beyond what is described in ICH Guidelines Q1A(R2) and Q5C, and companies may be challenged in designing studies that not only satisfy country specific regulations, but also satisfy all global regulatory health authority expectations. This article focuses on responses to a cross-industry survey conducted within the International Consortium for Innovation and Quality (iqconsortium.org) member companies, regarding practices related to temperature cycling stability studies, in order to determine how these requirements are being interpreted and met. The results indicate that while there is no one-size-fits-all approach to performing temperature cycling stability studies, there are common and best practices that can be followed to satisfy global health authority regulatory guidelines and requirements. The purpose of this paper is to describe the outcome of an industry survey and common/best practices on temperature cycling stability studies performed on drug product (DP) to satisfy the requirements established for marketing authorizations in Australia and Brazil or any other countries that may have similar requirements. The framework is proposed within the context of late phase and commercial development of common biological and/or large molecule modalities, such as monoclonal antibodies (mAbs, including bispecific antibodies), fusion proteins, complex proteins, oligonucleotides, and antibody-drug conjugates (ADCs), but many of the general principles involved may be applied to other therapeutics, such as Virus Like Particles (VLP), gene or cell therapies (GTx or CTx), or vaccines. For the purposes of this paper, temperature cycling stability studies refer to studies that are designed, in part, to support short term temperature excursions that drug product may be subjected to during shipping and storage activities and is outside of the labeled storage condition of the product. [ABSTRACT FROM AUTHOR]

• We examined panic buying and hoarding at the onset of the COVID-19 outbreak. • Perceived scarcity was the strongest predictor of panic buying. • Intolerance of uncertainty was the strongest predictor of hoarding. • Buying restrictions imposed by retailers may reduce panic buying. The COVID-19 pandemic led to panic buying in many countries across the globe, preventing vulnerable groups from accessing important necessities. Some reports inaccurately referred to the panic buying as hoarding. Although hoarding is a separate issue characterised by extreme saving behaviour, the two problems may be influenced by similar factors. Participants from Australia and the United States (final N = 359) completed online self-report measures of panic buying, hoarding, shopping patterns, perceived scarcity, COVID-19 illness anxiety, selfishness, and intolerance of uncertainty. Our findings showed that panic buying was related to hoarding symptoms (r 's =.23 -.36), and yet, both were uniquely associated with different psychological factors. Whilst panic buying was most strongly related to greater perceived scarcity (r 's =.38 -.60), hoarding was most related to a general intolerance of uncertainty (r 's =.24 -.57). Based on our findings, future strategies to prevent panic buying should focus on reducing perceived scarcity cues in the community, as this seems to be the primary driver of panic buying. Another preventative strategy to reduce excessive acquiring and saving may be to implement educational programs to increase people's ability to tolerate distress and uncertainty. [ABSTRACT FROM AUTHOR]

A dedicated grid-tied offshore hybrid energy system for hydrogen production is a promising solution to unlock the full benefit of offshore wind and solar energy and realize decarbonization and sustainable energy security targets in electricity and other sectors. Current knowledge of these offshore hybrid systems is limited, particularly in the integration, component control, and allocation aspects. Therefore, a grid-integrated analytical model with a power dispatch allocation strategy between the grid and electrolyzer for the co-production of hydrogen from the offshore hybrid energy system is developed in this paper. While producing hydrogen, the proposed offshore hybrid energy system supplies a percentage of its capacity to the onshore grid facility, and the amount of the electricity is quantified based on the electricity market price and available total offshore generation. The detailed controls of each component are discussed. A case study considers a hypothetical hybrid offshore energy system of 10 MW situated in a potential offshore off the NSW of Australia based on realistic metrological data. A grid-scale proton-exchange membrane electrolyzer stack is used and a model predictive power controller is implemented on the distributed hydrogen generation scheme. The model is helpful for the assessment or optimization of both the economics and feasibility of the dedicated offshore hybrid energy farm for hydrogen production systems. • Modeling of a grid-integrated analytical model of an OHES for hydrogen co-production. • Development of a power dispatch allocation strategy for the proposed OHES. • Development of detailed controls of each component used in the proposed OHES. • Demonstrations of a case study considering 10 MW OHES situated in offshore off the NSW of Australia. [ABSTRACT FROM AUTHOR]

Travel Demand Management (TDM) initiatives are widely applied by transport planners to establish and enable appropriate use of critical transport infrastructure. Less attention has been given to the specific case of TDM in an education precinct (university) context. Travel Plans have been promoted as a means for an organisation to encourage sustainable travel choices by their employees, visitors and customers. This paper offers an empirical contribution to the literature through a comparative qualitative evaluation of selected University Sustainable Travel Plans (USTPs) in Australia to identify the most important questions that a USTP should address explicitly. The evaluation comprised identification of a set of evaluation questions, completion of a template for each USTP considered and application of a simple scoring exercise. We also identify TDM measures that have been introduced as part of a USTP in response to the typical travel patterns exhibited in university settings. A contribution of this paper is to create a means of comparison of USTPs and to establish the components of a comprehensive travel plan. • Conducts a comparative analysis of University Sustainable Travel Plans. • Explores international experience of Travel Demand Management (TDM) in an education precinct context. • Key components of University Sustainable Travel Plans are identified. • The important role of regular surveys of staff and student travel behaviour is highlighted. [ABSTRACT FROM AUTHOR]

Significant advances have been made in artificial intelligence technology in recent years. Many health care applications have been investigated to assist clinicians and the technology is close to being integrated into routine clinical practice. The high prevalence of cardiac disease in Australia places overwhelming demands on the existing health care system, challenging its capacity to provide quality patient care. Artificial intelligence has emerged as a promising solution. This discussion paper provides an Australian perspective on the current state of artificial intelligence in cardiology, including the benefits and challenges of implementation. This paper highlights some current artificial intelligence applications in cardiology, while also detailing challenges such as data privacy, ethical considerations, and integration within existing health infrastructures. Overall, this paper aims to provide insights into the potential benefits of artificial intelligence in cardiology, while also acknowledging the barriers that need to be addressed to ensure safe and effective implementation into an Australian health system. [ABSTRACT FROM AUTHOR]

This paper explores the skills landscape of the emerging green hydrogen industry in Australia drawing on data collected from a study that gathered insights on training gaps from a range of hydrogen industry participants. A total of 41 industry participants completed a survey and 14 of those survey respondents participated in industry consultations. The findings revealed widespread perceptions of training and skilling as being very important to the industry, but under-provisioned across the sector. Data were analysed to consider the problem of skilling the green hydrogen industry and the barriers and enablers as perceived by industry stakeholders. In this paper we argue that urgent cross-sector attention needs to be paid to hydrogen industry training and skill development systems in Australia if the promise of green hydrogen as a clean energy source is to be realised. • Cross-sector collaboration is needed to support education and training on hydrogen energy. • Insufficient training is available to support skill development in hydrogen energy. • Training on electrolysers, fuel cells, hydrogen storage and refuelling stations is most needed. [ABSTRACT FROM AUTHOR]

Green hydrogen, produced from renewable electricity, can be transported long distances in multiple mediums. In this paper, a Techno-economic model is proposed to show the economic viability of global green hydrogen transport along 15 major regional routes such as Australia to Asia and Europe for the first time. A Monte Carlo-based technique is presented to assess the levelised cost of green hydrogen for different regions for the next 30 years. Depending on the specific route, green hydrogen can be transported in different forms, including ammonia, Liquid Organic Hydrogen Carrier (LOHC), Hydrogen Slush, compressed or liquefied hydrogen, etc. form and using different modes including shipping, truck, train, and pipeline. A linear programming analysis has been conducted for different regions, showing that among the global projected 300Mt of green hydrogen demand in 2050, 85% will need to be transported between regions to achieve the most economically optimal distribution. • Techno-economic analysis of green H 2 export via 15 worldwide regional trade routes. • Export model includes H2 generation, conversion, transport, and carbon prices. • In 2030, North America will be the largest exporter, followed by Australia. • Higher carbon prices allow for rapid growth in the green hydrogen industry. • Shipping is the most likely and cheapest H 2 export mode for distant transport. [ABSTRACT FROM AUTHOR]

Supporters of hydrogen energy urge scaling up technology and reducing costs for competitiveness. This paper explores how hydrogen energy technologies (HET) are perceived by Australia's general population and considers the way members of the public imagine their role in the implementation of hydrogen energy now and into the future. The study combines a nationally representative survey (n = 403) and semi-structured interviews (n = 30). Results show age and gender relationships with self-reported hydrogen knowledge. Half of the participants obtained hydrogen information from televised media. Strong support was observed for renewable hydrogen, while coal (26%) and natural gas (41%) versions had less backing. Participants sought more safety-related information (41% expressed concern). Most felt uncertain about influencing hydrogen decisions and did not necessarily recognise they had agency beyond their front fence. Exploring the link between political identity and agency in energy decision-making is needed, with energy democracy a potentially productive direction. • Hydrogen's strongest appeal to Australians is its benefit for climate change mitigation. • Although widely accepted, there is limited knowledge about hydrogen in terms of how it is produced or used. • The more people know about hydrogen, the more willing they are to participate in the decision-making process. [ABSTRACT FROM AUTHOR]

• Innovative phenotype-genotype association analysis for categorical genomic data having non-ignorable missing values. • Statistical learning method of random forest is used for variable selection in the analysis. • Weighted logistic ridge regression with EM algorithm is used for missing data imputation in the analysis. • Linear statistical hypothesis testing is used for determining the missingness mechanism in the analysis. • An application to analyzing real data from Australia breast cancer genome-wide association study (GWAS). Genomic data arising from a genome-wide association study (GWAS) are often not only of large-scale, but also incomplete. A specific form of their incompleteness is missing values with non-ignorable missingness mechanism. The intrinsic complications of genomic data present significant challenges in developing an effective and efficient procedure of phenotype-genotype association analysis by a statistical variable selection approach. In this paper we develop a coherent procedure of categorical phenotype-genotype association analysis, in the presence of missing values with non-ignorable missingness mechanism in genomic data. It is developed by integrating the statistical learning methods of random forest for variable selection, joint weighted logistic ridge regression with EM algorithm for missing data imputation, and linear statistical hypothesis testing for determining the missingness mechanism. Two simulated genomic datasets are used to undertake the phenotype-genotype association analysis by the proposed procedure, with the performance validated. The proposed procedure is then applied to analyze a real data set from breast cancer GWAS. [ABSTRACT FROM AUTHOR]

This paper examines the role of socioeconomic status (SES) in affecting access to care and the survival of acute myocardial infarction (AMI) patients in Australia's universal health care system. We jointly model the probabilities of patients being admitted to a catheterisation-capable hospital, receiving invasive coronary angiography (ICA), and surviving 30 days post discharge as a recursive system of probit equations. We further investigate the role of capacity and whether the access gap between SES groups widens when capacity becomes limited. Our study shows that SES plays a significant role in affecting the survival of AMI patients, both directly and indirectly through healthcare access. We find that socioeconomically disadvantaged patients are less likely to gain access to crucial services like catheterisation hospitals and ICA, which indirectly affects their survival probability in addition to the adverse direct impact of SES. While healthcare capacity showed no overall effect on access, its interplay with SES exacerbates the access disparity in situations of limited capacity. Our findings suggest that, to reduce inequality in health outcomes, public health strategy needs to focus not only on enhancing access but also addressing the direct consequences of SES. [ABSTRACT FROM AUTHOR]

To clarify and elaborate on the choices that were made in the development of the Patient Scale of the Patient and Observer Scar Assessment Scale 3.0 (POSAS 3.0), based upon the rich information obtained from patients during focus groups and pilot tests. The discussions described in this paper are a reflection of the focus group study and pilot tests that were conducted in order to develop the Patient Scale of the POSAS3.0. The focus groups took place in the Netherlands and Australia and included 45 participants. Pilot tests were performed with 15 participants in Australia, the Netherlands, and the United Kingdom. We discussed the selection, wording and merging of 17 included items. Additionally, the reason for exclusion of 23 characteristics are given. Based upon the unique and rich material of patient input obtained, two versions of the Patient Scale of the POSAS3.0 were developed: the Generic version, and the Linear scar version. The discussions and decisions taken during the development are informative for a good understanding of the POSAS 3.0 and are indispensable as a background for future translations and cross-cultural adaptations. • The Patient Scale was meant to be concise, readily assessable, quick, and user-friendly instrument assessing the key attributes of scar quality. • Two versions have been developed, the Generic version (total of 16 items), and the Linear scar version (total of 17 items). • Eight of the identified characteristics were merged into three included items. • Twenty-three characteristics were excluded during different phases of the development process for multiple reasons. [ABSTRACT FROM AUTHOR]

Green steel, produced using renewable energy and hydrogen, presents a promising avenue to decarbonize steel manufacturing and expand the hydrogen industry. Australia, endowed with abundant renewable resources and iron ore deposits, is ideally placed to support this global effort. This paper's two-step analytical approach offers the first comprehensive assessment of Australia's potential to develop green steel as a value-added export commodity. The Economic Fairways modelling reveals a strong alignment between prospective hydrogen hubs and current and future iron ore operations, enabling shared infrastructure development and first-mover advantages. By employing a site-based system optimization that integrates both wind and solar power sources, the cost of producing green steel could decrease significantly to around AU$900 per tonne by 2030 and AU$750 per tonne by 2050. Moreover, replacing 1% of global steel production would require 35 GW of well-optimized wind and solar photovoltaics, 11 GW of hydrogen electrolysers, and 1000 square kilometres of land. Sensitivity analysis further indicates that iron ore prices would exert a long-term influence on green steel prices. Overall, this study highlights the opportunities and challenges facing the Australian iron ore industry in contributing to the decarbonization of the global steel sector, underscoring the crucial role of government support in driving the growth and development of the green steel industry. [Display omitted] • Australia could produce low-cost green steel for value-added export • Strong correlation between hydrogen hubs and iron ore operations • Existing infrastructure supports the roll-out of the industry • Optimized generation mix reduces storage, curtailment and production costs • Iron ore prices substantially influence green steel prices in the long term [ABSTRACT FROM AUTHOR]

Developing a thriving hydrogen industry will depend on public and community support. Past research, mainly focusing on the acceptance of hydrogen fuelling stations and cars, suggests that people generally support hydrogen energy technology (HET). Few studies have, however, considered how people think about other components of the hydrogen supply chain (i.e., technologies required to make, store, transport and use hydrogen). Moreover, there has been limited research investigating how people interpret and develop beliefs about HET after being presented with technical information. This paper attempts to address these research gaps by presenting the findings from four face-to-face focus group discussions conducted in Australia. The findings suggest that people have differing views about HET, which depends on the type of technology, and these views influence levels of support. The study also revealed concerns about a range of other factors that have yet to be considered in hydrogen acceptance research (e.g., perceived water use, efficiency and indirect benefits). The findings highlight the value of qualitative research for identifying salient beliefs that shape attitudes towards HET and provide recommendations for future research and how to effectively communicate with the public and communities about an emerging hydrogen industry. • Focus group discussions with Australians about whole hydrogen supply chain. • Generally positive, but tentative, attitudes toward hydrogen overall. • Stronger support for industrial applications over domestic/household applications. • Concerns raised about hydrogen's efficiency and its conflict with other technologies. • Support for more research and pilot projects to provide tangible evidence. [ABSTRACT FROM AUTHOR]

Hydrogen supplying to industrial users is currently the major hydrogen business worldwide and the demand for hydrogen is almost entirely supplied from fossil fuels. In the last years a widespread interest on hydrogen has grown as energy vector for the decarbonization of multiple sectors, including industry, transport and buildings. Nevertheless, the impact of natural gas and other fossil fuels substitution with hydrogen is highly affected by the mix of different technologies and energy sources applied for hydrogen generation. The paper aims to investigate current CO 2 emissions related with hydrogen generation in Australia and Italy by means of PEM and alkaline technologies; and to evaluate the potential impact considering cell characteristics variation and 3 scenarios based on energy mix. A sensitivity analysis is performed to identify the critical parameters. Based on experimental data, the energy consumption for hydrogen production using PEM technology is more sensitive to cell voltage compared to current density, which indicates the importance of cell manufacturing and electrolyte resistance. In addition, by performing sensitivity analysis regarding energy sources scenarios it is found that carbon dioxide emission in Australia is more sensitive to renewable energy sources rather than Italy. [Display omitted] • Importance of manufacturing and electrolyte resistance because of high PEM energy consumption sensitivity to cell voltage. • Predicted emission in 2030 is 5–10 kg CO 2 using PEM/alkaline technology in Italy. • 18% reduction of national electricity grid CO 2 emission in Australia is predicted. (In 2030 in comparison to 2019). [ABSTRACT FROM AUTHOR]

While many countries have experienced more than one wave of the pandemic throughout 2020, Australia has been able to contain the virus in a way that makes it a stand out (with New Zealand) in the way that it has been contained, with an exception in Victoria linked to failed quarantine procedures for travellers returning from overseas. Through descriptive analysis, this paper builds on earlier papers by the authors on the Australian response, with a focus on the changing dynamics of travel activity, concern with public transport, and attitudes surrounding activity given the perception of risk of COVID-19 and the level of public support for regulatory intervention and restrictions on movement. We find that Australia continues to suppress travel, particularly that for commuting, that comfort in completing day-to-day activities continues to rise (with the exception of Victoria where confidence feel significantly), and while support for intervention measures remains high, there has been an erosion in sentiment. As with previous work, we discuss what this might mean for future transport policy, and attempt to draw lessons from the Australian experience. [Display omitted] [ABSTRACT FROM AUTHOR]

This paper (Part 2 in the paper series), building on earlier studies examining the Australian response, extends on findings related to travel activity, commuting, and attitudes towards COVID-19 measures (Part 1 in the paper series). In this paper we focus in detail on the impact of, and experiences with, working from home (WFH), perhaps the largest of the positive unintended consequence of the pandemic, with respect to transport, and a key lens through which the changing patterns in travel activity and attitudes discussed in Part 1 need to be understood. We conclude that through the widespread adoption of WFH as a result of nationwide public health orders, there is evidence emerging that WFH is now seen as an appealing instrument of change by employees and employers, there is growing support to continue to support WFH into the future. This represents a significant potential contribution to the future management of the transport network, especially in larger metropolitan areas. We also discuss policy implications of this result and what the international community may take from the Australian experience. [ABSTRACT FROM AUTHOR]

Hydrogen is a potential future solution addressing global warming, climate change, and energy security challenges. It efficiently allows for storing excess renewable energy and generating heat and electricity without increasing greenhouse gas emissions. It can create a practical pathway to replace fossil fuel vehicles and move toward a net-zero transport sector. Various hydrogen strategies and industry roadmaps have been developed to identify key goals, set targets for progress, and develop strategic plans to remove barriers. As identified through these documents, the development of consistent national and international codes and standards and the creation of clear procedures and regulations are essential for the safe implementation and adaptation of hydrogen systems, leading to the successful process of hydrogen sector. This paper provides a comprehensive and critical review of the different aspects of hydrogen safety to advance hydrogen regulations, codes, and standards. While it summarises the key international hydrogen frameworks, the main focus of the paper is on Australian plans, progress, and working groups for hydrogen deployment that will help future green energy society. • The safety developments affect the cost of Australian hydrogen scaling targets. • Training and safety developments are essential to achieve public trust in Australia. • Better community engagement is needed to move from hydrogen planning to its development. • Data-based tools assist the development of hydrogen safety procedures in Australia. [ABSTRACT FROM AUTHOR]

Accurate land valuation is necessary for tax purposes, land resources allocation, real estate management and urban development and planning. Since various factors from different domains affect land prices through non-linear relationships, automating the land valuation process on a large scale is a complex task. Advanced technologies in big data analysis and artificial intelligence have demonstrated superior capabilities in knowledge extraction in such cases. Accordingly, this paper develops and compares the performance of four Automated Valuation Models (AVMs) based on machine learning and deep learning techniques utilizing physical, geographical, socio-economic, environmental, legal and planning factors in Melbourne Metropolitan, Australia. According to the results, the eXtreme Gradient Boosting (XGBoost) method outperforms other algorithms of Support Vector Regression (SVR), random forest and Deep Neural Network (DNN). This method has achieved the coefficient of determination (R2) of 0.862, Mean Absolute Percentage Error (MAPE) of 0.139, and normalized Root Mean Square Error (nRMSE) of 0.281. The achieved high accuracy is due to incorporating a wide range of driving factors and applying innovative feature selection and hyperparameter tuning procedures evaluating various possible feature sets and hyperparameters. Accordingly, this paper can contribute to research, governmental and industry-based activities in terms of developing AVMs for mass land valuation. • Automated land valuation models using machine learning and deep learning • Comprehensive feature set and hybrid feature selection process for robust model performance • Spatial mapping of land values in large urban areas • Contribution to fair housing policies and urban development by accurate land valuation • Practical insights for housing affordability strategies in terms of land management [ABSTRACT FROM AUTHOR]

• A novel approach for modelling subsidence induced by fluid extraction from coal seams. • Transient groundwater and subsidence models are linked. • Coal shrinkage induced by gas desorption can significantly impact subsidence. Several coal seams are contained within the formations of Great Artesian Basin (GAB), the largest natural underground water reservoir in Australia and the world. The extraction of coal seam gas (CSG) and its associated water from thousands of wells within the coal measures of the GAB has led to tens of millimetres of subsidence in CSG development areas. Since highly developed farming systems located in these areas rely on very low slope landforms, even this scale of subsidence has caused significant community concern about the potential for CSG extraction to impair farming operations and productivity through changes in land slope and drainage. Coal seam compaction associated with dewatering and gas extraction has two key components: poromechanical compaction and desorption-induced bulk shrinkage. The former results from pore pressure depletion (due to dewatering and gas extraction) and an increase of vertical effective stress, while the latter is induced by gas desorption from the coal matrix, leading to further deformation. While poromechanical compaction of fluid-bearing formations has been extensively addressed in the literature, relatively little research has been conducted on the role of coal shrinkage in CSG-induced subsidence. This paper introduces an innovative practical modelling approach for assessing CSG-induced subsidence at a subregional/regional scale. The approach utilises an analytical model for CSG-induced subsidence derived from constitutive stress–strain relations for poroelastic-sorptive media. This is a novel approach in the context of CSG-induced subsidence which considers both poromechanical compaction and desorption-induced shrinkage. A further distinction to previous work is the integration of the geomechanical-sorptive subsidence model with a numerical groundwater model. Based on this approach, this paper examines the effect of coal shrinkage on subsidence, and its proportions with respect to total compaction for one of the major coal measures in the Surat Basin. Input data are derived from three-dimensional geological, geomechanical, and groundwater models, as well as methane adsorption and desorption reports. Results show that (a) the impact of coal shrinkage on CSG-induced subsidence is likely to be significant in the study area and (b) the contribution of coal shrinkage to CSG-induced subsidence depends on gas content, Langmuir isotherm, shrinkage strain parameters, and the saturation state of coal. This study provides important insights into CSG-induced subsidence and lays the foundation for the development of robust, efficient, and localised predictive models to support environmental impact assessment and management. [ABSTRACT FROM AUTHOR]

The aim of this paper is to investigate the empirical correlations between inter-city population distribution, intra-city urban economic structures, and networked inter-city relationships to propose a conceptual classification framework for the Australian urban system. This paper sets the pre-COVID-19 benchmark for future research which will investigate the impact of COVID-19 on the economic geography of the Australian urban system. This research confirms that the form of Australia's urban structure is informed by a combination of population distribution, economic concentration, specialisation and diversity of industries and occupations, and networks between cities. Based on these results, we propose an urban structure framework characterised by hierarchical sub-systems and typologies of cities. The framework consists of standalone regional centres and larger cities which form a networked megaregion. Additionally, we propose five typologies of cities based on their functional roles. The Australian urban system presents a unique hybrid economic geography where its structure of networked megaregions of cities and standalone regional centres each with its complementary functional roles, presents itself an interesting case study to inform population policies for other geographies. • This study proposes a method to synthesise city size, economic structure and their networked relationships. • Principles of economic agglomeration mostly apply within the Australian context however, there are nuances and exceptions. • Proximity has a role to play when determining the economic roles of cities and the strength of interactions between cities. • Two urban sub-systems exist in Australia: standalone regional centres and megaregions. • Five city types in Australia which considers their size, economic structure and geography. [ABSTRACT FROM AUTHOR]

• Qualitative study with participants in Australia's largest Connected Intelligent Transportation Systems field trial. • Participants were generally positive towards the system and expressed interest in future adoption of the technology. • Participants expressed desire for increased personalisation of system settings. • Participants expressed some concerns about timing and accuracy of some information provided. • Participants expressed desire for appropriate data privacy and confidentiality controls and use of the data. The Ipswich Connected Vehicle Pilot (ICVP) was the largest on-road trial of connected vehicle technology in Australia. In the ICVP, 355 privately-owned vehicles were outfitted with connected vehicle technology and driven for 9 months with 326 participant vehicles remaining in the study until completion. User acceptance is as a key determinant of the future effectiveness of connected and co-operative Intelligent Transport systems (C-ITS) given it impacts likely uptake of these vehicles and the optimal functioning of such systems is contingent on widespread uptake by the public. This paper presents the findings of two qualitative studies conducted as part of the ICVP, comprising 53 individual interviews and 14 focus groups/interviews with 47 participants. The purpose of the qualitative studies was to understand users' perceptions of the system as well as their acceptance of C-ITS in general. Overall, participants were generally positive towards the system, could appreciate the safety benefits it offers, and expressed interest in adopting the technology presuming future systems would be refined. Some participants reported that they missed the warnings provided by the system once the technology had been removed. Participants wanted the system to be seamlessly integrated in their vehicle and have features that enabled personalisation. Participants identified that some of the warnings, most notably the advanced red light warning, were presented too late or at inaccurate times indicating that these issues must be remedied to ensure successful future implementation of C-ITS. Participants appreciated that data sharing would optimise the system but wanted controls to be put in place to guard against misuse; participants did not want their data to be used for sales or marketing purposes. Users' experience and perceptions are key to ensuring wider-spread adoption of C-ITS. The findings thus have important implications for future C-ITS implementation to ensure that the benefits of C-ITS are optimised to facilitate wide-spread penetration of the technology. [ABSTRACT FROM AUTHOR]

Investment in the hydrogen economy is increasing at unprecedented rates. To ensure a swift transition, understanding the diverse perspectives of and how to work collaboratively with all sectors of society is needed. In doing so, how industry stakeholders understand community perceptions and view their role in mediating perceived issues needs to be better understood. Therefore, this study aims to investigate how industry assumptions of community perspectives of hydrogen technologies compare and contrast with those in an Australian context. Using inductive thematic analysis, this exploratory project analysed 45 publicly-available submissions received in 2019 for the National Hydrogen Strategy from the industry perspective, and 62 public submissions received in 2019–2020 for the Victorian Green Hydrogen Discussion Paper from the community perspective. Results show that industry stakeholder assumptions about community concerns tended to reflect specific technical issues as opposed to those reported by the community: moral obligations to climate, environment, and future generations. Findings indicate that further work is needed to better align industry understandings and characterisations of the broader public. Several practical implications for the energy sector are noted. First, hydrogen is unlikely to be immune to community concerns faced by other energy projects; therefore, a robust plan for community inclusion that considers a range of complex, contextual factors is required. Second, there is an opportunity for the formation of a more collaborative approach, which integrates industry and community goals and values. Third, industry and government may benefit from viewing the community as an under-utilised, valuable partnership or resource rather than an object to be managed as part of a development process. We contend that a collaborative framework, including approaches such as co-design and shared identity formation may be critical to furthering the hydrogen agenda. • This study explores community and industry perspectives to advance hydrogen economy. • Worldviews and values informed perspectives of industry and community stakeholders. • Community perspectives were driven by future and greenhouse gas emission concerns. • Industry assumed community would be most concerned about the safety of hydrogen. • Results indicate that community and industry should be involved in unison. [ABSTRACT FROM AUTHOR]

Computed tomography coronary angiography (CTCA) is a non-invasive diagnostic modality that provides a comprehensive anatomical assessment of the coronary arteries and coronary atherosclerosis, including plaque burden, composition and morphology. The past decade has witnessed an increase in the role of CTCA for evaluating patients with both stable and acute chest pain, and recent international guidelines have provided increasing support for a first line CTCA diagnostic strategy in select patients. CTCA offers some advantages over current functional tests in the detection of obstructive and non-obstructive coronary artery disease, as well as for ruling out obstructive coronary artery disease. Recent randomised trials have also shown that CTCA improves prognostication and guides the use of guideline-directed preventive therapies, leading to improved clinical outcomes. CTCA technology advances such as fractional flow reserve, plaque quantification and perivascular fat inflammation potentially allow for more personalised risk assessment and targeted therapies. Further studies evaluating demand, supply, and cost-effectiveness of CTCA for evaluating chest pain are required in Australia. This discussion paper revisits the evidence supporting the use of CTCA, provides an overview of its implications and limitations, and considers its potential role for chest pain evaluation pathways in Australia. [ABSTRACT FROM AUTHOR]

This is the fourth in a series of papers that provides an historical record in this journal of contributions made by the most influential figures in the field of stuttering. Ann Packman is an Australian researcher who will retire shortly. This paper reflects on her long and productive career, and her contributions to the field. With a background in literature, linguistics, philosophy, psychology, and the brain and language, she became well equipped to contribute to understanding stuttering causality. That work, and an accompanying collection of basic and applied clinical research, was constantly grounded with the thoughts and feelings of those who stutter in the community. • Ann Packman is an Australian researcher who will retire shortly. • This paper reflects on her career and her contributions to the field. • Her work was grounded with the thoughts and feelings of those who stutter. [ABSTRACT FROM AUTHOR]

The understanding of the stratigraphic evolution of marine rift basins is important for both "pure" scientific and economic reasons. From a hydrocarbon exploration point of view the main goal is to develop tools to predict reservoir location, quality, and extent. Stratigraphic models try to do that, and only historical cases can be used to test those models. On the other hand, depositional model cannot precisely predict reservoir location as factors unique to the specific basin under analysis affect sediment distribution (basin physiography, type of flows, among others). This aspect can be assessed only on a case-by-case basis and can be used for initial hypothesis generation based on analogues. This paper shows a case history study based on the integration of well logs, and 3D seismic data across the Eastern Dampier sub-basin, Northwester Shelf of Australia. Advanced seismic interpretation techniques, calibrated to well data, enable the definition of a chrono-stratigraphic framework of the late syn-rift sequence (Late Jurassic) of the Lewis Trough, and the description of the sediment distribution through the interpretation of geomorphological features. During the Late Jurassic three different channel systems deliver sandstones to the deep-water part of the basin through multiple entry points. The timing of the sediment input seems to be linked to variation of sediment input as during that time relative sea-level was slowly rising. The location of the entry points is related to local physiography and defies any attempt of prediction based on general "rules." From a stratigraphic point view, the findings of the study support the idea that, in rift basin, mechanical subsidence is the primary control for accommodation space, with episodic pulses of extension followed by longer periods of tectonic quiescence. It is during these episodic movements along the basin's bounding faults that space for sedimentation is created. This interpretation is in striking contrast with the basic assumptions of the conventional sequence stratigraphy model. • Understanding the stratigraphic evolution of marine rift basins allows to predict reservoir location and extent. • The present paper analyzes the late syn-rift succession of the Lewis Trough to reconstruct the stratigraphic evolution of the basin infill. • Accommodation space in the Lewis Trough is primarily controlled by mechanical subsidence related to asymmetrical fault movement. • Turbiditic sedimentation occurs during sea-level rise, and it is related to an Increase in sediment supply. • IConventional sequence stratigraphic modeling cannot be applied to rift-basins. [ABSTRACT FROM AUTHOR]

This paper reports on an energy/exergy analysis of a standalone solar-hydrogen system with a metal hydride (MH) system thermally managed using a phase change material (PCM). This is a self-contained thermal management arrangement that stores the heat released from the MH unit, when it is being charged and transfers it back to the MH while discharging hydrogen. The first and second laws of thermodynamics were used to develop a mathematical model in MATLAB to simulate this system and quality its performance from the energy and exergy viewpoints. The model was then applied on a passive standalone house, with ∼3.8 MWh/year electricity demand, located in southeast Australia. The exergy efficiencies of the solar PV, electrolyser, fuel cell and the whole solar hydrogen system were found to be 6.5%, 88%, 50.6%, and 3.74%, respectively. The paper also provides the detailed entropy generation and exergy analysis on the MH hydrogen storage unit together with its PCM-based thermal management arrangement. The results show that the annual entropy generation, exergy destruction and exergy efficiency of the MH hydrogen storage unit were 173 Wh/K, 51.5 kWh, and 98.8%, respectively. • Exergy analysis of phase change material used for metal hydride thermal management in solar hydrogen system. • The energy and exergy efficiencies of the solar PV are around 6.1% and 6.5%, respectively. • Energy and exergy of solar-hydrogen system were 3.48% and 3.74%, respectively. • Exergy efficiency of the MH thermal management using PCM was 98.8%. [ABSTRACT FROM AUTHOR]

This paper examines the relationship between locus of control (LOC) and the demand for supplementary health insurance (SUPP). Drawing on longitudinal data from Germany, we document robust evidence that individuals internal LOC increases the take up of supplementary private health insurance (SUPP). We find that the effect of one standard deviation increase in the measure of internal LOC on the probability of SUPP purchase is equivalent to a 14 percent increase in household income. Second, we find that the positive association between self-reported health and SUPP becomes small and insignificant when we control for LOC. These results suggest that LOC might be an unobserved individual trait that can partly explain previously documented evidence of advantageous selection into SUPP. Third, we find comparable results using data from Australia, which enhances the external validity of our results. [ABSTRACT FROM AUTHOR]

• Evaluate the effect of uncertain operating and market conditions on dispatch planning. • Apply Model Predictive Control (MPC) for dispatch scheduling of CSP plants. • Monte-Carlo simulation is to evaluate the MPC performance for a case-study in Australia. • The plant profitability from electricity sales under spot prices is assessed. The aim at dispatch scheduling for concentrating solar power plants is to utilize thermal storage to maximize profit from electricity generation. The dispatching plan, however, must contend with significant uncertainty in both weather forecasts (particularly solar irradiation) and, in some locations, real-time electricity prices governed by potentially volatile markets. This paper proposes a Model-Predictive Control (MPC) which employs a novel similarity-based forecast for weather variables and exploits the predictions of electricity prices provided by the market operator. A Monte-Carlo simulation is developed to evaluate true performance of the proposed MPC against two benchmarks, with perfect knowledge (PK) forecasts and day-ahead optimized using prototypical weather (DAPW). A case study is performed on a 115 MW Solar Tower plant with 8-hour storage, hypothetically located in South Australia, and operates under either a fixed-price or a real-time spot price scenario. A Monte-Carlo simulation is conducted for 150 tests for January (summer) and August (winter). The results show in fixed-price scenario MPC achieves 82.4 % of optimal profit (i.e. obtained via PK) in January and 72.4 % in August whereas that in DAPW falls to 71.5 % and 56.9 % of optimal, respectively. In the spot market scenario, MPC reaches 71.3 % and 63.6 % of optimal profit in January and August, whereas that for DAPW reaches 61.4 % and 55.1 %, respectively. In conclusion, PK forecast assumption in dispatch planning over-estimates the achievable profit by ∼ 28–40 % particularly in spot market scenario. Moreover, MPC can mitigate the influence of uncertainties on the plant economic performance by 8.5 %–15.5 % compared to DAPW benchmarks. [ABSTRACT FROM AUTHOR]

This paper examines the strategies that speakers employ in response to children's crying in the remote Aboriginal community of Wadeye, in northern Australia. Drawing on spontaneous interactions amongst Murrinhpatha speaking families, we analyse instances of crying by children aged 0;6 to 8;11 years, and the ways in which they are responded to. Results indicate that adult Murrinhpatha speakers manage children's distress through a variety of verbal and non-verbal strategies, and multimodal combinations thereof. The selection of strategies directly relates to the developmental stage of the crier. Adult caregivers respond differently to the crying of infants, of children who can walk unaided but are producing little if any language, of children who can talk intelligibly, and children more advanced again who have a degree of social independence. In the particular strategies that caregivers apply, they guide children towards a developmentally appropriate self-sufficiency. Caregivers encourage autonomy in ways that reflect a child's current abilities, be it physical, linguistic, emotional, or social. By exploring responses to crying in an under-researched cultural and linguistic context, this paper offers a unique perspective on the pragmatics of managing distress and what this reveals about local constructions of personhood within the context of carer-child interaction. • Analysis examines responses to children's crying in a remote Australian Aboriginal community. • Methods utilize multimodal analysis of spontaneous crying events in early childhood. • Findings show how caregiver responses are situated in relation to local expectations of children across developmental stages. [ABSTRACT FROM AUTHOR]

This paper examines the strategies that speakers employ in response to children's crying in the remote Aboriginal community of Wadeye, in northern Australia. Drawing on spontaneous interactions amongst Murrinhpatha speaking families, we analyse instances of crying by children aged 0;6 to 8;11 years, and the ways in which they are responded to. Results indicate that adult Murrinhpatha speakers manage children's distress through a variety of verbal and non-verbal strategies, and multimodal combinations thereof. The selection of strategies directly relates to the developmental stage of the crier. Adult caregivers respond differently to the crying of infants, of children who can walk unaided but are producing little if any language, of children who can talk intelligibly, and children more advanced again who have a degree of social independence. In the particular strategies that caregivers apply, they guide children towards a developmentally appropriate self-sufficiency. Caregivers encourage autonomy in ways that reflect a child's current abilities, be it physical, linguistic, emotional, or social. By exploring responses to crying in an under-researched cultural and linguistic context, this paper offers a unique perspective on the pragmatics of managing distress and what this reveals about local constructions of personhood within the context of carer-child interaction. • Analysis examines responses to children's crying in a remote Australian Aboriginal community. • Methods utilize multimodal analysis of spontaneous crying events in early childhood. • Findings show how caregiver responses are situated in relation to local expectations of children across developmental stages. [ABSTRACT FROM AUTHOR]

The major metropolitan airports in Australia have become increasingly congested, resulting in substantial increases in operational costs and waiting time at these airports. This paper assesses the effectiveness of subsidy programs in shifting airfreight from metropolitan airports to regional airports assuming the vehicle routing problem approach is used to optimise the downstream (i.e., road) logistics. We analyse the freight distribution network structure and logistics decisions under two (government) subsidy scenarios. We develop a mixed integer linear programming model incorporating the time-window and release-time constraints. A case study in Australia is used to illustrate the application of the proposed framework. The results show that introducing subsidies can effectively reduce the total costs from the prospective of industries involved in the airfreight distribution. The subsidy program under a non-linear subsidy provides a better performance from the economic and delivery time perspectives. However, if the primary goal is to reduce the volume of cargo traffic at the metropolitan airport, a linear subsidy program is preferred. • Subsidy programs are proposed to shift airfreights from metropolitan airports to regional airports. • The vehicle routing problem model is used to evaluate the effects of the subsidy schemes. • A case study of Australia is presented. • A non-linear subsidy provides a better performance from the economic and delivery time perspectives. • A linear subsidy is preferred to reduce cargo traffic at metropolitan airports. [ABSTRACT FROM AUTHOR]

This paper analyzes the relationship between interest rates, inflation expectations and inflation rates in Australia using the approach suggested by Toda and Yamamoto (1995) to test for Granger causality. The empirical evidence reported here suggests that uni-directional Granger causality is running from medium- and long-term government bond yields to short-term inflation expectations as measured by a survey among consumers. Moreover, there is bidirectional Granger causality among short-term interest rates and short-term inflation expectations among consumers. Additionally, interest rates and the sentiment data measuring inflation expectations can help to predict inflation rates. These findings are supportive for the Fisher effect and also seem to indicate that the bond market is quite efficient predicting inflation rates. Furthermore, some problems of more traditional tests of the Fisher hypothesis are discussed. In this context the role of financial deregulation in Australia is examined. Thus, the Lucas critique seems to be of some relevance testing the Fisher effect (see Lucas, 1976). [ABSTRACT FROM AUTHOR]

• Features, factors, and facets of solar pond design and construction. • El Paso Solar Pond experience as the basis for design specifications. • Design and planning ensure solar pond reliable and sustainable operation. • Purpose of solar ponds provides focus for design and configuration. Over the last four decades, salinity gradient solar pond (SGSP) science and technologies have advanced in practical projects. In this work, we show that understanding a salinity gradient solar pond's purpose provides the focus for preparing a preliminary design and physical configuration. This paper aims to share lessons learned in designing and constructing the El Paso Solar Pond. Features, factors, and facets of solar pond design and construction are presented straightforwardly to inform and guide planning for future work. Emphasis is on sodium chloride-based ponds, the base salt used for the El Paso Solar Pond. However, lessons learned are pertinent to additional salt source configurations. Reference to solar ponds operating in Australia and Israel provides design and construction insights. Careful design and planning prior to construction ensure the solar pond operates reliably and sustainably. [ABSTRACT FROM AUTHOR]

[Display omitted] • Adults produce more absorbent hygiene product (AHP) waste than infants in Australia. • In Australia, the majority of used AHPs go to landfill as municipal solid waste. • Our results recommend more sustainable management of waste from all AHPs. The environmental issues relating to disposable of infant nappies have received considerable attention. However, adult absorbent hygiene products (AHPs) receive less attention, despite having comparable or greater environmental impact. Here we quantify and compare current and future flows of continence related AHPs entering waste streams from both infant and adult populations. Importantly our study accounts for current waste management and landfilling practices across Australia and the environmental implications of AHP disposal. Absorbent hygiene product use from infants and adults was modelled from 2020 to 2030 for Australia, and it's predicted that AHP waste generated by adults will account for between 4 and 10 times that of infants by 2030 due to an aging population. Our results indicate that 50% of used AHPs end up in landfill with both leachate and biogas collection, the remainder going to landfills without biogas collection or without both leachate and biogas collection, based on the most recent national data set, which is over a decade old. The average composition of used absorbent hygiene product (including 60% urine and faeces by mass) is estimated to contain 20% non-biodegradable material, which may complicate the biodegradability of absorbent hygiene products in landfill. Without additional regulatory incentive, the current waste management practices in Australia are likely to continue, with absorbent hygiene products typically entering landfill as municipal solid waste, rather than industrial composting or recycling facilities. More accurate estimation of environmental implications from these disposal pathways requires further work including biodegradation experiments currently unavailable in the literature. [ABSTRACT FROM AUTHOR]

There is little research to understand reasons for suboptimal influenza vaccination uptake among Aboriginal people of different ages in Australia. This study aimed to better understand the communication needs and preferences of Aboriginal families (Phase 2) in New South Wales, Australia, and their health service providers (Phase 1), to inform future interventions to improve influenza immunisation coverage in Aboriginal communities. This paper reports from Phase 1 of the study. Aboriginal and non-Aboriginal researchers designed and conducted the study, with cultural governance provided by Aboriginal health care professionals and other community members working within health departments or community healthcare settings across Australia. In Phase 1 we conducted interviews and focus groups with 18 Aboriginal immunisation providers and mainstream immunisation co-ordinators from three geographic areas in New South Wales. We used group-based thematic analysis with a cultural lens and sought participants' feedback prior to finalising results. We identified four themes, framed as opportunities for improvement: better supporting Aboriginal Medical Services as providers of influenza vaccinations; improving the accessibility and appropriateness of mainstream services for Aboriginal families; improving health providers' knowledge of Aboriginal people' influenza risk and their willingness to recommend vaccination; and engaging communities to design influenza vaccination resources. To achieve optimal influenza vaccination coverage, all health services must take responsibility for providing culturally responsive clinical care to Aboriginal families. We suggest that, where possible, mainstream services incorporate elements of the family-centred and broader model of health used by Aboriginal Medical Services. This includes creating a welcoming environment, appropriately identifying and getting to know Aboriginal patients, taking a preventative approach, and opportunistically offering and strongly encouraging influenza vaccination to the individual and their family. [ABSTRACT FROM AUTHOR]

[Display omitted] • Mathematical modeling of membrane distillation considering concentration polarization. • Integration of membrane distillation into a liquid desiccant air conditioning system. • The hybrid system driven by solar energy with a batch-wise operation. • Feasibility analysis of the hybrid system in a hot and humid climate area. • System performance evaluation in terms of air dehumidification and water production. Membrane distillation (MD) is a promising method for liquid desiccant (LD) regeneration as it can mitigate LD carryover and produce freshwater as a by-product. Previous research on MD regeneration was mainly focused on performance evaluation and optimization of the regenerator itself. This paper proposed a hybrid solar-driven direct contact MD (DCMD) regeneration-assisted liquid desiccant air conditioning (LDAC) system for air dehumidification, cooling, and freshwater production. A mathematical model for the DCMD regenerator was first developed by considering both temperature and concentration polarizations. This model was validated against the experimental data in terms of the outlet channel temperature and LD solution concentration in the feed tank with relative deviations of ± 9.8 % and ± 0.5 %, respectively. The DCMD model was further integrated into an LDAC system with a batch-wise operation. To investigate the technical feasibility of the proposed system, a one-week simulation was conducted in a residential house during summer in a tropical climate area of Australia. The results showed that the latent heat load was effectively removed from the process air and the regenerated liquid desiccant solution can meet the dehumidification requirement with a concentration over 30.0 wt%. The dehumidification rate and regeneration rate were at 0.49–1.25 kg/h and 0.95–4.25 kg/h, respectively. Solar energy contributed to 52 %-78 % of the total system thermal energy consumption. Furthermore, this system can produce 11.0–12.8 kg of water daily. [ABSTRACT FROM AUTHOR]

Building operations use 45% of the total energy in Australia, and Net-Zero Energy Buildings (NZEBs) are instrumental in achieving net zero emissions by 2050. However, research reveals that various factors hinder NZEB adoption in Australia, and it is imperative to contextualise the barriers, thereby highlighting clear gaps that can be addressed to enhance the implementation of NZEB in Australia. This study presents a systematic literature review and bibliometric analysis to examine the barriers that hinder the implementation of NZEB contextualised within the Australian building industry. The paper's novelty resides in its contextualisation of barriers to NZEB thereby highlighting clear gaps that can be addressed to enhance the implementation of NZEB in Australia. Emergent results reveal the most impactful barriers experienced and the inter-relatedness between barriers and their effects on each other. These identified barriers are also compared with comparable countries, including the UK, China, Italy and the US. New insight and knowledge acquired provide a basis for assessing potential solutions to the main barriers. Findings show that a lack of knowledge, climate issues, and cost issues, in addition to government policy factors, are considered primary barriers encountered by the industry, hindering the achievement of NZEBs. It is imperative that future studies and initiatives counteract these impacts to realise a better implementation of NZEB in the Australian context. [ABSTRACT FROM AUTHOR]

Power grid damage and blackouts are increasing with climate change. Load forecasting methods that integrate climate resilience are therefore essential to facilitate timely and accurate network reconfiguration during periods of extreme stress. Our paper proposes a generalised Wildfire Resilient Load Forecasting Model (WRLFM) to predict electricity load based on operational data of a Distribution Network (DN) in Australia during wildfire seasons in 2015–2020. We demonstrate that load forecasting during wildfire seasons is more challenging than during non-wildfire seasons, motivating an imperative need to improve forecast performance during wildfire seasons. To develop the robust WRLFM, comprehensive comparative analyses were conducted to determine proper Machine Learning (ML) forecast structures and methods for incorporating multiple factors. Bi-directional Gated Recurrent Unit (Bi-GRU) and Vision Transformer (ViT) were selected as they performed the best among all 13 recently trending ML methods. Multi-factors were incorporated to contribute to forecast performance, including input sequence structures, calendar information, flexible correlation-based temperature conditions, and categorical Fire Weather Index (FWI). High-resolution categorical FWI was used to build a forecasting model with climate resilience for the first time, significantly enhancing the average stability of forecast performances by 42%. A sensitivity analysis compared data set patterns and model performances during wildfire and non-wildfire seasons. The improvement rate of load forecasting performance during wildfire seasons was more than two times greater than in non-wildfire seasons. This indicates the significance and effectiveness of applying the WRLFM to improve forecast accuracy under extreme weather risks. Overall, the WRLFM reduces the Mean Absolute Percentage Error (MAPE) of the forecast by 14.37% and 20.86% for Bi-GRU and ViT-based models, respectively, achieving an average forecast MAPE of around 3%. • Novel climate-resilient load forecast model for use during extreme wildfire seasons. • Bi-GRU and ViT outperform 11 recently trending machine learning models. • Categorical FWI with high resolution enhances forecast stability by 42%. • Optimised calendar, temperature and FWI input reduce errors by 17.6%. • Forecast improvement during wildfires is twice that in non-wildfire seasons. [ABSTRACT FROM AUTHOR]

Turritelline gastropod-dominated assemblages (TDAs) are common in siliciclastic facies from the mid-Cretaceous to the Recent, but their distribution in carbonate facies has been thought to be limited to the Cretaceous and Paleogene, except for "cool-water" carbonates from the Miocene of Australia. This paper describes a TDA in a Pliocene limestone in northern Chile, the only known Neogene TDA limestone from outside Australia. This Chilean TDA probably formed in conditions of relative low temperatures and high productivity, and thus appears to support the hypothesis that TDAs largely disappeared from warm waters after the Oligocene. It is also possible, however, that it formed in conditions of warmer temperatures associated with upwelling during the Early Pliocene warm interval. • A turritelline gastropod-dominated assemblage from Chile is Early or Late Pliocene. • The limestone assemblage is a rarity in the Neogene, when most are in siliciclastics. • The assemblage formed under high-productivity conditions. • If Late Pliocene, conditions were cool water upwelling, unusual for a limestone. • If Early Pliocene, they were non-uniformitarian warm water upwelling in a warm ocean. [ABSTRACT FROM AUTHOR]

Kakadu plum (Terminalia ferdinandiana) is a plant species endemic to northern Australia, attracting increasing consumer interest due to its multiple nutritional qualities. As a consumer product at a premium price point, the Kakadu plum may be susceptible to food fraud. This paper determines the prevalence of food fraud in the e-commerce Kakadu plum market. We applied stable isotope analysis (SIA) and elemental profiling using X-ray fluorescence (XRF) through Itrax to evaluate the authenticity of 13 commercially available Kakadu plum powdered samples purchased from Australian and overseas suppliers against four powdered samples directly provided by First Nations harvesters. Overseas and Australian-sourced powders were found to have distinct isotopic and elemental profiles. All overseas powders showed highly enriched δ13C values indicating they are fakes, not derived from Kakadu plum. Non-metric multi-dimensional scaling (nMDS) of elements also displayed distinct groupings between Australian-sourced and overseas powders, whilst analysis of similarity percentages (SIMPER) differentiated the elemental composition between groups. It was also observed that 89% of overseas products sold as Kakadu plum were deceptively labelled as other products. These results showed food fraud occurred along the supply chain of overseas-sourced product. Given the complexities of multi-national food systems, utilising a combination of stable isotopes and elemental profiling are straightforward applications for detecting fraudulent products. [ABSTRACT FROM AUTHOR]

Close-kin mark-recapture (CKMR) data can be used on their own to provide estimates of fish spawning stock biomass, adult mortality rate and fecundity-at-age. However, CKMR data can also be integrated directly into a stock assessment. We present a simplified example of integrating CKMR data within the Stock Synthesis assessment framework, and use simulation to evaluate management strategies based on the harvest control rule used to set catch limits for fish stocks off southeast Australia. The simulations are tailored to jackass morwong, Nemadactylus macropterus, a moderately-long lived (up to 46 years) fish species that is believed to have exhibited a regime-shift reduction in recruitment. We identify the sample sizes needed for a CKMR-based management strategy to achieve similar performance to an (optimistically parameterized) catch-per-unit-effort (CPUE)-based approach for this species. A CKMR-based management strategy can perform at least as well as a CPUE-based approach and CKMR data provide information to better estimate parameters such as adult natural mortality. Moreover, CKMR-based management strategies are not subject to the risk associated with CPUE-based approaches related to trends in catchability. The performances of CKMR-based assessment methods and management strategies are likely case-specific, but this paper shows the viability of including CKMR data in next generation stock assessments and harvest control rules. [ABSTRACT FROM AUTHOR]

The recent technological advances and their applications to agriculture provide leverage for the new paradigm of smart agriculture. Remote sensing applications can help optimise resources, making agriculture more ecological, increasing productivity and helping farmers to anticipate events that could not otherwise be avoided. Considering that losses caused by anomalies such as diseases, weeds and pests account for 20–40 % of overall agricultural productivity, a successful research effort in this area would be a breakthrough for agriculture. In this paper, we propose a methodology with which to discover and classify anomalies in images of crops, taken from a wide range of distances, using different Convolutional Neural Network architectures. This methodology also deals with several difficulties that usually appear in this kind of problems, such as class imbalance, the insufficient and small variety of images, overtraining or lack of models generalisation. We have implemented four convolutional neural network architectures in a high-performance computing environment, and propose a methodology based on data augmentation with the addition of Gaussian noise to the images to solve the above problems. Our approach was tested using two well-established open datasets that are unalike: DeepWeeds, which provides a classification of 8 weed species native to Australia using images that were taken at a distance of 1 m, and Agriculture-Vision, which classifies 6 types of crop anomalies using multispectral satellite imagery. Our methodology attained accuracies of 98 % and 95.3% respectively, improving the state-of-the-art by several points. In order to ease reproducibility and model selection, we have provided a comparison in terms of computational time and other metrics, thus enabling the choice between architectures to be made according to the resources available. The complete code is available in an open repository in order to encourage reproducibility and promote scientific advances in sustainable agriculture. • A convolutional deep learning model was developed for anomaly detection in agricultural images. • High and low-resolution imagery can be used as input for the model. • Data transformation and augmentation are part of our methodology. • Extensive experiments comparing 4 architectures and 2 datasets are shown. [ABSTRACT FROM AUTHOR]

• The energy and cost benefits of dynamic PV-integrated shading devices are assessed. • Both energy efficiency and on-site energy generation benefits are considered. • Optimal design and operation of PV-integrated shading systems are determined. • PV-integrated overhangs can allow office spaces to achieve net zero energy operation. • For Australian office buildings, PV-integrated shading systems are highly cost-effective. The paper summarizes a comprehensive analysis to determine the energy and cost benefits of static and dynamic photovoltaic (PV)-integrated shading devices when applied to windows of office spaces located in different climate zones across Australia. The evaluated dynamic shading systems consist of rotating overhangs placed above the windows and operated to minimize the annual energy demands of office spaces. For the first time, the study determines through optimization-based controls the best angle settings for the rotating overhangs on hourly, daily, or monthly basis to minimize the energy consumption of office spaces in Australia. The analysis results indicate that both optimally designed static and optimally operated dynamic PV-integrated overhangs have substantial potential to reduce the annual energy needs of office spaces for all Australian climates with annual energy savings ranging from 45% to over 100% depending on the building orientation, window size, glazing type, and overhang depth. This high energy benefits are attributed to the multi-function capability of the PV-integrated shading systems to minimize cooling and space thermal loads while maximizing on-site electricity generation. Unlike the case of static shading devices, it is found that dynamic PV-integrated overhangs allow office spaces to reach net-zero energy operation for certain climate zones in Australia. [ABSTRACT FROM AUTHOR]

Microgrids are extensively integrated into electrical systems due to their many technical, economic, and environmental advantages. However, they encounter a challenge as they experience high-frequency fluctuations caused by the stochastic nature of renewable energy generation, electric loads, and the presence of Electric Vehicles (EVs). Therefore, various techniques, algorithms, and controllers have been introduced to ensure effective Load Frequency Control (LFC) and maintain a stable power system in microgrids. These methods aim to ensure that the system's frequency remains stable and within an acceptable range, especially when faced with changing load demands and other factors. This paper presents a novel enhanced control approach, Particle Swarm Optimization-Trained Artificial Neural Network (PSO-TANN), to optimize the load frequency model of a microgrid with vehicle-to-grid integration. The results are then compared under various scenarios, including renewable energy integration, EV charging and discharging dynamics, and varying load demands. The comparative analysis involves assessing the performance of the conventional Proportional–Integral–Derivative (PID) controller, the PSO-PID controller, and the newly proposed controlling technique. The suggested controller attains 99.904% efficiency with a negligible mean squared error of 1.1112 × 10−7, decreasing the integrated time absolute error to 1.0 × 10−4. It shows rapid response, precise targeting, and quick peak output ability, with marginal overshoot and undershoot, and a transient time of 28.5626 s, efficiently controlling microgrid frequency. Stability analysis validates the effectiveness of the proposed PSO-TANN controller in ensuring stability within the microgrid's LFC system during uncertainties and disturbances. This establishes resilience, diminishes settling time, and maintains reliable performance while controlling frequency. • An investigation into an islanded microgrid's Load Frequency Control (LFC) model framework has been conducted, comprising diesel generator, solar PV system, wind turbine, and EVs operating in vehicle-to-grid mode to supply power to electric loads, consequently impacting the frequency dynamics of the microgrid system. • A novel enhanced control approach, Particle Swarm Optimization-Trained Artificial Neural Network (PSO-TANN) has been implemented to optimize the load frequency model of a microgrid. • An extensive comparative analysis with other controllers, including PID and PSO-PID, is conducted across diverse scenarios involving renewable energy integration and EV charging and discharging dynamics under various load disturbances to reduce settling time, control system frequency, and ensure reliable performance. • The stability analysis validates the efficiency of the proposed PSO-TANN controller in ensuring reliability during uncertainties and disturbances, maintaining overall robustness and stability of the LFC system within the microgrid. [ABSTRACT FROM AUTHOR]

Australia's prisons have a high chronic hepatitis C (HCV) prevalence (8 %). Antiviral therapies and prison-based hepatitis services are available, but only a minority of those eligible are being treated. Improving the HCV public health literacy of the prison sector via targeted education may overcome key barriers to scale-up treatment. This paper describes the: i) HCV public health literacy of the prison setting; ii) barriers and solutions for HCV education and service engagement; iii) HCV education program co-design and development processes; and iv) HepPEd resources. A national needs assessment was conducted to analyse the HCV public health literacy of the target audience groups in the prisons (healthcare providers; custodial officers; people in prison) to inform development of a prison-specific HCV education program (HepPEd). Structured interviews were conducted with key informants (n = 40). Three National Steering Committees, one for each target group, were convened to co-design and develop HepPEd. Only healthcare providers involved with hepatitis care were considered to have 'good' to 'very good' HCV health literacy (including knowledge, attitudes, and capabilities), with all other groups considered less favourably. Key barriers identified included being time poor (healthcare providers), poor motivation (custodial officers) and stigma (people in prison). Peer education delivery was considered a key facilitator for custodial officers and people in prison. A suite of multi-modal resources addressing the perceived gaps in HCV health literacy was developed, with a broad theme of 'Let's talk about hep C'. Delivery of HepPEd was designed to overcome key barriers and utilise facilitators for each group. Significant gaps in HCV health literacy were perceived amongst the target audience groups. The comprehensive co-design and development processes utilised in HepPEd suggest the program will be well-placed to improve the HCV public health literacy of the prison sector and thereby enhance HCV testing and treatment rates amongst people in prison. [ABSTRACT FROM AUTHOR]