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Introduction: One in six people live with disability in Australia with higher levels of disability of people from diverse communities, such as those with culturally and linguistically diverse (CALD) backgrounds. In Australia, CALD refers to people from diverse ethnicity and cultures, nationalities, societal structures and religions that may or may not speak a language other than English. This study employs researchers with lived experience of disability and peer support to study the impact of peer support for people with disability, including people from CALD backgrounds, in two peer-led organisations in New South Wales (NSW) Australia., Methods and Analysis: This study uses participatory action research and inclusive research design with researchers with lived experience, having lived experience of disability and a peer in the disability community, leading the research.Over three years, three different groups will be recruited through Community Disability Alliance Hunter (CDAH) and Diversity and Disability Alliance (DDAlliance): (1) peers with disability, (2) peer leaders with disability and (3) researchers with lived experience of disability and peer support. Data collection and creation methods include semistructured interviews, surveys and focus groups. Qualitative data will be analysed using thematic analysis through the lens of the researchers with lived experience., Ethics and Dissemination: Ethical approval was granted by the University of Newcastle Human Research Ethics Committee (Approval No: H-2021-0088). Dissemination includes peer-reviewed publications, presentations at local, national and international conferences and written reports for user-led organisations, disability service providers, disability agencies and people with disability., Competing Interests: Competing interests: All authors have completed the ICMJE uniform disclosure at http://www.icmje.org/disclosure-of-interest/ and declare: financial support for the submitted work from the Australian Government Department of Social Services, Information Linkages and Capacity Building Program; MT has received an honorarium from DDAlliance and CDAH for academic input; CH was a consultant contracted by DDAlliance and CDAH to be a research adviser and project manager; JD, JM, DY, CW and FR were paid a casual salary as researchers with lived experience from DDAlliance; SP, AF, SS and OB-P were paid a casual salary as researchers with lived experience from CDAH., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Aiming at the problems of high stochasticity and volatility of power loads as well as the difficulty of accurate load forecasting, this paper proposes a power load forecasting method based on CEEMDAN (Completely Integrated Empirical Modal Decomposition) and TCN-LSTM (Temporal Convolutional Networks and Long-Short-Term Memory Networks). The method combines the decomposition of raw load data by CEEMDAN and the spatio-temporal modeling capability of TCN-LSTM model, aiming to improve the accuracy and stability of forecasting. First, the raw load data are decomposed into multiple linearly stable subsequences by CEEMDAN, and then the sample entropy is introduced to reorganize each subsequence. Then the reorganized sequences are used as inputs to the TCN-LSTM model to extract sequence features and perform training and prediction. The modeling prediction is carried out by selecting the electricity compliance data of New South Wales, Australia, and compared with the traditional prediction methods. The experimental results show that the algorithm proposed in this paper has higher accuracy and better prediction effect on load forecasting, which can provide a partial reference for electricity load forecasting methods. [ABSTRACT FROM AUTHOR]

The Upper Hunter Valley is a major coal mining area in New South Wales (NSW), Australia. Due to the ongoing increase in mining activities, PM10 (air-borne particles with an aerodynamic diameter less than 10 micrometres) pollution has become a major air quality concern in local communities. The present study was initiated to quantitatively examine the spatial and temporal variability of PM10 pollution in the region. An earlier paper of this study identified two air quality subregions in the valley. This paper aims to provide a holistic summarisation of the relationships between elevated PM10 pollution in two subregions and the local- and synoptic-scale meteorological conditions for spring and summer, when PM10 pollution is relatively high. A catalogue of twelve synoptic types and a set of six local meteorological patterns were quantitatively derived and linked to each other using the self-organising map (SOM) technique. The complex meteorology–air pollution relationships were visualised and interpreted on the SOM planes for two representative locations. It was found that the influence of local meteorological patterns differed significantly for mean PM10 levels vs. the occurrence of elevated pollution events and between air quality subregions. In contrast, synoptic types showed generally similar relationships with mean vs. elevated PM10 pollution in the valley. Two local meteorological patterns, the hot–dry–northwesterly wind conditions and the hot–dry–calm conditions, were found to be the most PM10 pollution conducive in the valley when combined with a set of synoptic counterparts. These synoptic types are featured with the influence of an eastward migrating continental high-pressure system and westerly troughs, or a ridge extending northwest towards coastal northern NSW or southern Queensland from the Tasman Sea. The method and results can be used in air quality research for other locations of NSW, or similar regions elsewhere. [ABSTRACT FROM AUTHOR]

To solve the problem of feature selection and error correction after mode decomposition and improve the ability of power load forecasting models to capture complex time series information, a two-stage short-term power load forecasting method based on recursive feature elimination with a cross validation (RFECV) algorithm and time convolution network–efficient channel attention mechanism–long short-term memory network (TCN–ECA–LSTM) is presented. First, the load sequence is decomposed into a relatively stable set of modal components using variational mode decomposition. Then, the RFECV-based method filters the feature set of each modal component to construct the best feature set. Finally, a two-stage prediction model based on TCN–ECA–LSTM is established. The first stage predicts each modal component and the second stage reconstructs the load forecast based on the predicted value of the previous stage. This paper takes actual data from New South Wales, Australia, as an example, and the results show that the method proposed in this paper can build the feature set reliably and efficiently and has a higher accuracy than the conventional prediction model. [ABSTRACT FROM AUTHOR]

Background: Aboriginal and Torres Strait Islander Australians are disproportionately impacted by blood-borne viruses (BBVs) and sexually transmissible infections (STIs). Stigma remains one of the key barriers to testing and treatment for BBVs and STIs, particularly among Aboriginal and Torres Strait Islander people. The Deadly Liver Mob (DLM) is a peer-delivered incentivised health promotion program by and for Aboriginal and Torres Strait Islander Australians. The program aims to increase access to BBV and STI education, screening, treatment, and vaccination for Aboriginal and Torres Strait Islander Australians in recognition of the systemic barriers for First Nations people to primary care, including BBV- and STI-related stigma, and institutional racism. This paper presents routinely collected data across nine sites on the 'cascade of care' progression of Aboriginal and Torres Strait Islander clients through the DLM program: hepatitis C education, screening, returning for results, and recruitment of peers. Methods: Routinely collected data were collated from each of the DLM sites, including date of attendance, basic demographic characteristics, eligibility for the program, recruitment of others, and engagement in the cascade of care. Results: Between 2013 and 2020, a total of 1787 Aboriginal and Torres Strait Islander clients were educated as part of DLM, of which 74% went on to be screened and 42% (or 57% of those screened) returned to receive their results. The total monetary investment of the cascade of care progression was approximately $56,220. Data highlight the positive impacts of the DLM program for engagement in screening, highlighting the need for culturally sensitive, and safe programs led by and for Aboriginal and Torres Strait Islander people. However, the data also indicate the points at which clients 'fall off' the cascade, underscoring the need to address any remaining barriers to care. Conclusions: The DLM program shows promise in acting as a 'one stop shop' in addressing the needs of Aboriginal and Torres Strait Islander people in relation to BBVs and STIs. Future implementation could focus on addressing any potential barriers to participation in the program, such as co-location of services and transportation. [ABSTRACT FROM AUTHOR]

Background: Anxiety and depressive disorders typically emerge in adolescence and can be chronic and disabling if not identified and treated early. School-based universal mental health screening may identify young people in need of mental health support and facilitate access to treatment. However, few studies have assessed the potential harms of this approach. This paper examines some of the potential mental health-related harms associated with the universal screening of anxiety and depression administered in Australian secondary schools. Methods: A total of 1802 adolescent students from 22 secondary schools in New South Wales, Australia, were cluster randomised (at the school level) to receive either an intensive screening procedure (intervention) or a light touch screening procedure (control). Participants in the intensive screening condition received supervised self-report web-based screening questionnaires for anxiety, depression and suicidality with the follow-up care matched to their symptom severity. Participants in the light touch condition received unsupervised web-based screening for anxiety and depression only, followed by generalised advice on help-seeking. No other care was provided in this condition. Study outcomes included the increased risk of anxiety, depression, psychological distress, decreased risk of help-seeking, increased risk of mental health stigma, determined from measures assessed at baseline, 6 weeks post-baseline, and 12 weeks post-baseline. Differences between groups were analysed using mixed effect models. Results: Participants in the intensive screening group were not adversely affected when compared to the light touch screening condition across a range of potential harms. Rather, participants in the intensive screening group were found to have a decreased risk of inhibited help-seeking behaviour compared to the light touch screening condition. Conclusions: The intensive screening procedure did not appear to adversely impact adolescents' mental health relative to the light touch procedure. Future studies should examine other school-based approaches that may be more effective and efficient than universal screening for reducing mental health burden among students. Trial registration Australian and New Zealand Clinical Trials Registry (ACTRN12618001539224) https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=375821. [ABSTRACT FROM AUTHOR]

Background: A growing body of evidence suggest an association between physical activity levels and students psychological well-being. A number of research studies have evaluated playground interventions that aim to increase physical activity levels, decrease conflict and bullying, and improve students behaviour. The HAPPY Study will evaluate the success of an intervention combining environmental modifications, teacher development, and peer support that can culminate in an easy to implement, low cost and effective model for increasing physical activity, and improving psychological well-being for children.Methods/design: Data will be collected at six New South Wales (NSW) primary schools, on physical activity levels, on-task time during classes, and social support for physical activity during a 12 month Cluster Controlled Trial (CT). Three quantitative data collection tools will be used to capture student's physical activity levels during lunch and recess breaks (the SOPARC tool), student's on-task behaviour during classes following recess and lunch breaks (the BOSS tool) and where students receive the most encouragement to be physically active from (the Physical Activity Social Support Scale survey). Baseline data will be analysed against follow-up data, collected after an intervention that is rolled out in all schools as part of a stepped wedge CT design.Discussion: A review of relevant Australian and New Zealand literature suggests that playground interventions can be successful at increasing physical activity levels, increasing social and conflict resolution skills in students, and decreasing incidences of bullying. This study will investigate any correlation between physical activity levels, and student behaviour during classes following breaks.Trial Registration: Australian and New Zealand Clinical Trials Register ACTRN12616000575437 , registered May 2016. [ABSTRACT FROM AUTHOR]

This paper presents a method to analyze and improve the set of equations constituting a rainfall‐runoff model structure based on a combination of a data assimilation algorithm and polynomial updates to the state equations. The method, which we have called "Data Assimilation Informed model Structure Improvement" (DAISI) is generic, modular, and demonstrated with an application to the GR2M model and 201 catchments in South‐East Australia. Our results show that the updated model generated with DAISI generally performed better for all metrics considered included Kling‐Gupta Efficiency, NSE on log transform flow and flow duration curve bias. In addition, the elasticity of modeled runoff to rainfall is higher in the updated model, which suggests that the structural changes could have a significant impact on climate change simulations. Finally, the DAISI diagnostic identified a reduced number of update configurations in the GR2M structure with distinct regional patterns in three sub‐regions of the modeling domain (Western Victoria, central region, and Northern New South Wales). These configurations correspond to specific polynomials of the state variables that could be used to improve equations in a revised model. Several potential improvements of DAISI are proposed including the use of additional observed variables such as actual evapotranspiration to better constrain internal model fluxes. Plain Language Summary: This paper presents a data‐driven method to improve rainfall‐runoff models used to generate future water resources scenario in climate change studies. The method, which we have called "Data Assimilation Informed model Structure Improvement" (DAISI) is generic, modular, and demonstrated with an application to monthly streamflow simulations over a large data set of catchments in South‐East Australia. Our results show that DAISI improves model performance for a wide range of metrics and increases the sensitivity of the model to climate inputs, which is critical in climate change scenarios. Finally, the improvements identified by DAISI take a simple mathematical form with distinct regional patterns in three sub‐regions of the study domain (Western Victoria, central region, and Northern New South Wales). Several improvements of DAISI are discussed including the inclusion of additional observed variables such as evapotranspiration to better constrain model simulations. Key Points: Data Assimilation Informed model Structure Improvement method diagnoses hydrological model structures by combining data assimilation with a polynomial update of state equationsThe method was applied to the GR2M rainfall‐runoff model with significantly improved streamflow simulations in 201 Australian catchmentsThe method identified updates to state equations with marked regional characteristics that could guide future improvement of GR2M [ABSTRACT FROM AUTHOR]

The Upper Hunter Valley is a major coal mining area containing approximately 40% of the currently identified total coal reserves in New South Wales (NSW), Australia. Due to the ongoing increase in mining activities, PM10 (airborne particles with an aerodynamic diameter of less than 10 micrometres) pollution has become a major air quality concern in local communities. This paper summarises the spatial and temporal variability modes of PM10 pollution in the region, based on long-term multi-site monitoring data and the application of the rotated principal component analysis (RPCA) and wavelet analysis techniques. RPCA identified two distinct air quality clusters/subregions in the valley: one in the west/northwest and the other in the southeast. Wavelet analysis revealed the annual cycle to be the most persistent temporal mode of PM10 variability in both subregions, with intermittent signals also observed at time scales of around 120, 30~90, and under 30 days. How these variation modes are related to the effects of local PM10 emissions and the influence of meteorology at different time scales deserves further attention in future work. The findings will be used in air quality reporting and forecasting in NSW. The methodology and results can also be useful for air quality research in similar regions elsewhere. [ABSTRACT FROM AUTHOR]

The Deadly Liver Mob (DLM) is a peer-delivered incentivised health promotion program by and for Aboriginal and Torres Strait Islander Australians, and was introduced in response to the disproportionate number of Aboriginal and Torres Strait Islander Australians who are impacted by blood borne viruses (BBVs) and sexually transmitted infections (STIs). The goal of the program is to increase access to BBV and STI education, screening, treatment, and vaccination in recognition and response to the systemic barriers that Aboriginal and Torres Strait Islander peoples face in accessing health care. This commentary introduces a series of papers that report on various aspects of the evaluation of the Deadly Liver Mob (DLM) program. In this paper, we explain what DLM is and how we constructed an evaluation framework for this complex health promotion intervention. [ABSTRACT FROM AUTHOR]

Using rock art conservation as a focus, this paper outlines the levels of legislated protection afforded to designated natural and cultural areas/sites in Australia and describes the co-management approach adopted in 1998 in relation to Mutawintji National Park in western New South Wales. The park encompasses four different protection categories: a Historic Site, a Nature Reserve, a National Park, and a State Conservation Area. Known for more than a century, the Historic Site is a major area of rock art containing Aboriginal engravings, paintings and stencils. Management of the Historic Site is a key concern, given the tourist interest and associated potential for accelerated deterioration of cultural heritage. The Mutawintji Plan of Management pointed to the importance of Mutawintji for Aboriginal people to connect with the country, and the co-management model encouraged tourism development as a means of providing employment opportunities as Aboriginal guides. No special legislative requirements in relation to rock art conservation, beyond those already in existence, were applied to the co-management system. Using field knowledge involving rock art research and early guide training programs at Mutawintji and literature sources, this paper suggests possible future approaches to rock art conservation in the Mutawintji Lands. [ABSTRACT FROM AUTHOR]

Resilient healthcare (RHC) emphasises the importance of adaptive capacity to respond to unanticipated crises such as the global coronavirus disease 2019 (COVID-19) pandemic but there are few examples of RHC research focusing on the decisions taken by macro level policy makers. The Smaggus et al paper analyses the actions of two governments in Canada and Australia as described in media releases from a resilience perspective. The paper clearly articulates the need for conceptual clarity when analysing system resilience, and integrates three theoretical perspectives to understand the types of government responses and how they were related to resilience. The paper makes a valuable contribution to the developing RHC evidence base, but challenges remain in identifying conceptual frameworks, researching macro level resilience, including identifying and accessing reliable macro level data sources, analysing interactions between macro, meso and micro system levels, and understanding how resilience manifests at different temporal and spatial scales. [ABSTRACT FROM AUTHOR]

With rapid growth of urban environments worldwide, there is an increasing need to develop more innovative and efficient land administration systems. In Australia, various jurisdictions are currently in the process of implementing 3D cadastre to support better land administration services to the wider community. The 'Cadastre 2034 Strategy' published by the Intergovernmental Committee on Surveying and Mapping (ICSM) for Australia in 2014 indicates that a digital cadastre will be implemented as part of that strategy. As part of development of 3D cadastre, State of New South Wales has used the ePlan model based on LandXML for digital lodgement and validation of cadastral plans. This initiative aims to replace PDF cadastral plans with the digital format of LandXML. However, with the introduction of LandXML as the chosen formats for digital cadastral plans in NSW, there has been a significantly low level of Strata Plan digital capture and submission in LandXML format by the surveying industry. The research aims to identify the main challenges and explore a suitable method to improve the adoption of the digital format for Strata Plan submission and development of 3D cadastre in NSW. In this research paper, a mixed method research approach has been used by integrating both qualitative and quantitative data. The primary data was collected using online questionnaires and surveys of different stakeholders from government and the private surveying industry. The data allowed for the assessment of the effectiveness and implications of the digital system currently maintained by the NSW LRS (Land Registry Services). A case study was used for the creation, validation and lodgement of an existing strata plan using LandXML format. This paper demonstrates that implementation of 3D digital cadastral plans needs to be more structured in order to satisfy all stakeholders involved. More investment into the representation of complex 3D geometric models and classification for validation will improve the uptake by surveyors. The paper concludes with a discussion on the implications of the proposed strata plan implementation strategy and proposes future research within the topic of strata plan validation in NSW, Australia. [ABSTRACT FROM AUTHOR]

This paper introduces an innovative framework for wind power prediction that focuses on the future of energy forecasting utilizing intelligent deep learning and strategic feature engineering. This research investigates the application of a state-of-the-art deep learning model for wind energy prediction to make extremely short-term forecasts using real-time data on wind generation from New South Wales, Australia. In contrast with typical approaches to wind energy forecasting, this model relies entirely on historical data and strategic feature engineering to make predictions, rather than relying on meteorological parameters. A hybrid feature engineering strategy that integrates features from several feature generation techniques to obtain the optimal input parameters is a significant contribution to this work. The model's performance is assessed using key metrics, yielding optimal results with a Mean Absolute Error (MAE) of 8.76, Mean Squared Error (MSE) of 139.49, Root Mean Squared Error (RMSE) of 11.81, R-squared score of 0.997, and Mean Absolute Percentage Error (MAPE) of 4.85%. Additionally, the proposed framework outperforms six other deep learning and hybrid deep learning models in terms of wind energy prediction accuracy. These findings highlight the importance of advanced data analysis for feature generation in data processing, pointing to its key role in boosting the precision of forecasting applications. [ABSTRACT FROM AUTHOR]

Indigenous peoples in Australia have been heavily documented in colonial archives and collections. The past two decades have seen significant materials from Galleries, Libraries, Archives and Museums (GLAM) institutions being returned to Indigenous communities in Australia through physical or digital repatriation of materials. The digital return of materials requires both appropriate systems for returning both the digital collections, metadata and contextual information that relates to them, and agreements, policies, and procedures for meaningfully engaging with Indigenous communities throughout the process. Importantly, the information returned needs to be accessible, readable, and usable in local community contexts based on understanding local community needs. This paper discusses priorities around engaging with Indigenous peoples to reshape and build archival information systems and access points that support community requirements for digital return and management of cultural heritage materials in local settings. The paper discusses future priorities for designing archival information systems to support Indigenous sovereignty, including data stewardship and preservation approaches. These concerns are discussed and raised as part of the research and development of the global Mukurtu Content Management System (CMS) project, including within the New South Wales (NSW) Australian Mukurtu Hub. [ABSTRACT FROM AUTHOR]

Background: Care pathways are generally paper-based and can cause communication failures between multidisciplinary teams, potentially compromising the safety of the patient. Computerized care pathways may facilitate better communication between clinical teams. This study aimed to investigate whether an electronic care pathway (e-pathway) reduces delays in surgery and hospital length of stay compared to a traditional paper-based care pathway (control) in hip fracture patients.Methods: A single-centre evaluation with a retrospective control group was conducted in the Orthogeriatric Ward, Nepean Hospital, New South Wales, Australia. We enrolled patients aged > 65 years that were hospitalized for a hip fracture in 2008 (control group) and 2012 (e-pathway group). The e-pathway provided the essential steps in the care of patients with hip fracture, including examinations and treatment to be carried out. Main outcome measures were delay in surgery and hospital length of stay; secondary outcomes were in-hospital mortality and discharge location.Results: A total of 181 patients were enrolled in the study (129 control; 54 e-pathway group). There was a significant reduction in delay to surgery in the e-pathway group compared to control group in unadjusted (OR = 0.19; CI 0.09-0.39; p < 0.001) and adjusted (OR = 0.22; CI 0.10-0.49; p < 0.001) models. There were no significant differences between groups for length of stay (median 11 vs 12 days; p = 0.567), in-hospital mortality (1 vs 7 participants; p = 0.206) or discharge location (p = 0.206).Conclusions: This pilot study suggests that, compared to a paper-based care pathway, implementation of an e-pathway for hip fracture patients results in a reduction in total number of delays to surgery, but not hospital length of stay. Further evaluation is warranted using a larger cohort investigating both clinical and patient-reported outcome measures. [ABSTRACT FROM AUTHOR]

There is opportunity for universities to actively engage with Aboriginal communities to participate, conduct and ideally lead responsible research that attends to community priorities and issues. The Health from the Grassroots (Grassroots) project sought to address an ongoing mismatch between university-defined and community-defined priorities in rural northern New South Wales (NSW), Australia. Grassroots, led by Aboriginal staff of the University Centre for Rural Health (UCRH), aimed at engaging Aboriginal communities in conversations to inform research priorities. The Grassroots project was a true representation of collaborative research led by and for Aboriginal people. The team designed a local survey conducted yarning sessions with community members and used this information to visualize report findings. Community members were highly engaged in the consultation process and the "rich picture" continues to be used to further conversations about evolving health and research priorities. The Aboriginal research team identified strengths and challenges faced by communities and health services in the region and centred community in decision-making for project design and direction. Challenges encountered include limited resources and time for team members to devote to the project outside of their substantive paid positions. This paper describes the project vision, implementation, and research team lessons in the first years. Meaningful consultation to inform research action arose from the team's deep-rooted relationships and identities as members of the community in which we live and work. Research priorities identified through the Grassroots project have been integrated into the ongoing work of the UCRH. [ABSTRACT FROM AUTHOR]

The Consolidated Framework for Implementation Research (CFIR) is a well-established framework for systematically identifying key factors influencing the implementation of programs. To enhance the classification of existing CFIR definitions, as well as its +2/-2 scoring system, this study incorporated the views of relevant experts to: i) improve how themes are scored; and ii) utilise more information regarding the frequency with which themes are identified. This structured, frequency-based approach to the CFIR's scoring process has been trialled as the CFIR-frequency (CFIR-f). Researchers thematically analysed semi-structured interview data from four groups of policy and program experts (N = 24) delivering two family-based therapies in New South Wales (NSW), Australia. Themes identified by less than 50% were excluded from further analysis. Themes identified by 50% or more of expert participants in the four groups were classified as enablers or barriers using clearly defined criteria. Each theme was allocated a score according to how many experts identified it as an enabler or barrier, and then mapped back onto the latest adaptation of the CFIR comprising 67 constructs. The CFIR-f successfully determined three enablers of, and six barriers to, implementation. Enablers included the family-based therapy programs, therapist training and participant monitoring systems. Barriers included referral, data collection and staffing difficulties, NSW adaptation issues and the suitability and safety of the programs for Aboriginal families. The same enablers and barriers were identified using both the CFIR-f and the original scoring approach, and the identified themes were successfully mapped to almost all CFIR constructs (65/67). This paper proposes a more frequency-based approach to CFIR's scoring process (the CFIR-f). By specifically utilising the frequency with which these barriers and enablers are identified, the CFIR-f engenders a list of ranked themes that service providers and policymakers can use to inform their decisions about program modification and implementation. [ABSTRACT FROM AUTHOR]

Soil organic carbon (SOC) storage and redistribution across the landscape (through erosion and deposition) are linked to soil physicochemical properties and can affect soil quality. However, the spatial and temporal variability of soil erosion and SOC remains uncertain. Whether soil redistribution leads to SOC gains or losses continues to be hotly debated. These considerations cannot be modelled using conventional soil carbon models and digital soil mapping. This paper presents a coupled-model combining RothPC-1 which considers soil carbon (C) down to 1 m and a soil redistribution model. The soil redistribution component is based on a cellular automata technique using the multi-direction flow (FD8) algorithm. With the optimized input values based on land use, we simulated SOC changes upon soil profiles to 1 m across the Lower Hunter Valley area (11,300 ha) in New South Wales, Australia from the 1970s to 2016. Results were compared to field observations and showed that erosion was predicted mostly in upslope areas and deposition in low-lying areas. We further simulated SOC trends from 2017 until ~2045 in the area under three climate scenarios and five land use projections. The variation in the magnitude and direction of SOC change with different projections shows that the main factors influencing SOC changes considering soil redistribution are climate change which controlled the trend of SOC stocks, followed by land use change. Neglecting soil erosion in carbon models could lead to an overestimation of SOC stocks. This paper provides a framework for incorporating soil redistribution into the SOC dynamics modelling and also postulates the thinking that soil erosion is not just a removal process by surface runoff. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has demonstrated how a stochastic disruptive event can dramatically alter community soundscapes. Whilst religious bells have symbolism in many worldwide faiths, the sound emanating from church bells can be considered public domain and therefore, is not exclusive to the church. Pandemic-related interruption of these sounds impacts not only the church involved, but both the surrounding soundscape and any members of the community who ascribe value to these sounds. This paper examines the soundscape of Christian churches in the states of New South Wales and Victoria, to give an Australian perspective one year after the declaration of the COVID-19 pandemic in March 2020. It provides an update of the situation in Australia, building on our previous work from August of that year. In doing so, it explores the activity of church tower bell ringing, and how this "non-essential" activity has been affected, both during and subsequent to the heavy community restrictions applied in Australia. The paper also explores what lengths bellringers have undertaken to be permitted to conduct such activities, such as the use of adaptive measures due to "social distancing", and considers what implications this enforced silence has in similar soundscapes elsewhere in the world. [ABSTRACT FROM AUTHOR]

Transport infrastructure systems are very complex and expensive. Projects to procure such systems are costly, long and complex to manage. The procurement context usually includes many collaborating organizations but often with different concerns and priorities, and many interactions to other parties. This makes the procurement very complex and entangled. DoDAF, MoDAF and TRAK are three architecture frameworks (AF) that model the whole enterprise/system life cycle that includes system procurement. They are expressed as metamodels. In this paper, we analyse various procurements strategies and identify the concerns that AFs should address. The TRAK AF is then applied to a Rail procurement case study in collaboration with Transport for New South Wales (NSW) in Australia to assess its effectiveness in meeting the procurement needs. In all stages of the study, TRAK is mapped and compared to DoDAF and MoDAF to examine whether DoDAF or MoDAF can cover the inadequacies of TRAK. This paper shows that there is a considerable number of procurement needs which are overlooked by these architecture frameworks. It proposes a metamodel driven expansion to these frameworks to improve their completeness and expressiveness. [ABSTRACT FROM AUTHOR]

This paper addresses the optimal pre-cooling problem for air conditioners (AC) used in Internet of Things (IoT)-enabled smart homes while ensuring that user-defined thermal comfort can be achieved. The proposed strategy utilises renewable energy generation periods and moves some of the air conditioning loads to these periods to reduce the electricity demand. In particular, we propose a multi-stage approach which maximises the utilisation of renewable energy at the first stage to satisfy air conditioning loads, and then schedules residual energy consumption of these loads to low price periods at the second stage. The proposed approach is investigated for the temperature and renewable generation data of NSW, Australia, over the period 2012–2013. It is shown that the approach developed can significantly reduce the energy consumption and cost associated with AC operation for nearly all days in summer when cooling is required. Specifically, the proposed approach was found to achieve a 24% cost saving in comparison to the no pre-cooling case for the highest average temperature day in January, 2013. The analysis also demonstrated that the proposed scheme performed better when the thermal insulation levels in the smart home are higher. However, the optimal pre-cooling scheme can still achieve reduced energy costs under lower thermal insulation conditions compared to the no pre-cooling case. [ABSTRACT FROM AUTHOR]

Background: The Deadly Liver Mob (DLM) program is a peer-led health promotion program that aims to improve access to screening and treatment for blood borne viruses and sexually transmissible infections for Aboriginal and Torres Strait Islander Australians. In this paper, we used client and staff insights to explore the successes and challenges of implementing the DLM program according to the RE-AIM framework, which explores real-world implementation of interventions according to reach, effectiveness, adoption, implementation, and maintenance. Methods: Clients and staff were recruited through the DLM program. Semi-structured interviews were conducted with four Aboriginal and Torres Strait Islander and 11 non-Aboriginal or Torres Strait Islander health workers, as well as 33 Aboriginal and Torres Strait Islander clients of the program. Results: Findings show the positive effects of the DLM program, in creating a culturally safe and sensitive environment for Aboriginal and Torres Strait Islander clients to access care. In particular, the employment of frontline Aboriginal and Torres Strait Islander workers to deliver the education was touted as one of the primary successes of the program, in enabling workers to build trust between clients and mainstream health systems, which has the flow on effect of encouraging clients to go through to screening. The use of the RE-AIM framework illustrates the challenges of implementing real-world interventions across various locations, such as the difficulties in delivering DLM in regional and remote areas due to covering large geographic areas with minimal public transport available. Conclusions: The data emphasise the need for interventions to be adaptable and flexible, altering elements of the program to suit local and community needs, such as by offering mobile and outreach services to enable access across regional and rural areas. The findings of this evaluation have been used to develop tools so that the learnings from DLM can be shared with others who may be hoping to implement DLM or other similar programs. [ABSTRACT FROM AUTHOR]

Ambient PM2.5 (particles less than 2.5 μm in diameter) is monitored in many countries including Australia. Occasionally PM2.5 instruments may report negative measurements, although in realty the ambient air can never contain negative amounts of particles. Some negative readings are caused by instrument faults or procedural errors, thus can be simply invalidated from air quality reporting. There are occasions, however, when negative readings occur due to other factors including technological or procedural limitations. Treatment of such negative data requires consideration of factors such as measurement uncertainty, instrument noise and risk for significant bias in air quality reporting. There is very limited documentation on handling negative PM2.5 data in the literature. This paper demonstrates how a threshold is determined for controlling negative hourly PM2.5 readings in the New South Wales (NSW) air quality data system. The investigation involved a review of thresholds used in different data systems and an assessment of instrument measurement uncertainties, zero air test data and impacts on key reporting statistics when applying different thresholds to historical datasets. The results show that a threshold of −10.0 μg/m3 appears optimal for controlling negative PM2.5 data in public reporting. This choice is consistent with the measurement uncertainty estimates and the zero air test data statistics calculated for the NSW Air Quality Monitoring Network, and is expected not to have significant impacts on key compliance reporting statistics such as data availability and annual average pollution levels. The analysis can be useful for air quality monitoring in other Australian jurisdictions or wider context. [ABSTRACT FROM AUTHOR]

A strong First Nations health workforce is necessary to meet community needs, health rights, and health equity. This paper reports the findings from a national survey of Australia's First Nations people employed in health services to identify enablers and barriers to career development, including variations by geographic location and organisation type. A cross-sectional online survey was undertaken across professions, roles, and jurisdictions. The survey was developed collaboratively by Aboriginal and non-Aboriginal academics and Aboriginal leaders. To recruit participants, the survey was promoted by key professional organisations, First Nations peak bodies and affiliates, and national forums. In addition to descriptive statistics, logistic regression was used to identify predictors of satisfaction with career development and whether this varied by geographic location or organisation type. Of the 332 participants currently employed in health services, 50% worked in regional and remote areas and 15% in Aboriginal Community-Controlled Health Organisations (ACCHOs) with the remainder in government and private health services. All enablers identified were associated with satisfaction with career development and did not vary by location or organisation type. "Racism from colleagues" and "lack of cultural awareness," "not feeling supported by their manager," "not having role models or mentors," and "inflexible human resource policies" predicted lower satisfaction with career development only for those employed in government/other services. First Nations people leading career development were strongly supported. The implications for all workplaces are that offering even a few career development opportunities, together with supporting leadership by Aboriginal and Torres Strait Islander staff, can make a major difference to satisfaction and retention. Concurrently, attention should be given to building managerial cultural capabilities and skills in supporting First Nations' staff career development, building cultural safety, providing formal mentors and addressing discriminatory and inflexible human resources policies. [ABSTRACT FROM AUTHOR]

Cadastre 2034 is a National Strategy developed by the Intergovernmental Committee on Surveying and Mapping (ICSM) for cadastral reform and innovation for Australia and one of the goals is to develop a federated cadastral system. It states to define governance and administration on a federal level by unifying the existing systems with uniform standards, policies, guidelines and legislation and to allow further work towards a global cadastre. The aim of this research paper is to explore the behaviours and attitudes of New South Wales (NSW) cadastre towards a federated cadastral system assessing the best practice of federated cadastre global cases that may be applied locally in Australia. Mixed Methods Research (MMR) methodology was used, involving both quantitative and qualitative research to understand, identify and frame the cadastral data to determine and analyse the key issues and factors in implementing a federated cadastral system in New South Wales (NSW). A literature review, a questionnaire survey and interviews were used to collect the quantitative and qualitative data. A sequential MMR design framework was used a questionnaire survey followed by interviews. The questionnaire was sent out to 215 industry and government participants and resulted 71 completed surveys. Semi-structured interviews were conducted with 9 participants. The linking of quantitative and qualitative data occurred at the design-level, where results from the first phase were used to build the second phase of research design.It was explored that strong historical foundations, regressive reaction of governments and institutions, and a lack of understanding of the significance of cadastral reform were the key hindering factors to develop a federated cadastral system in NSW. The resulting analysis could be contributed to a better implementation of a federated cadastral system in NSW benefitting private, and public institutions. [ABSTRACT FROM AUTHOR]

Background: Implementation strategies are crucial to facilitate implementation success. To prepare and support implementation of a clinical pathway for screening, assessment and management of anxiety and depression in cancer patients (the ADAPT CP), six broad categories of implementation strategies; (1) Awareness campaigns, (2) Champions, (3) Education, (4) Academic Detailing and Support, (5) Reporting, (6) Technological Support, were developed. The aim of this paper is to describe the fidelity and acceptability of six categories of implementation strategies and any subsequent changes/adaptations made to those strategies. Methods: The ADAPT CP was implemented in twelve cancer services in NSW, Australia, as part of a cluster randomised controlled trial of core versus enhanced implementation strategies. Fidelity to and any subsequent changes to the delivery of the planned six categories of implementation strategies were captured using the ADAPT contact log, which recorded the contacts made between the ADAPT research team and services, engagement meetings and monthly meetings. To explore acceptability and awareness/engagement with the implementation strategies, interviews with a purposively selected staff sample across both study arms were held prior to implementation (T0), six months into implementation (T1) and at the end of the 12-month implementation period (T2). Interviews were thematically analysed across the six categories of strategies. Results: Delivery of all six categories of implementation strategies as planned was moderated by service context and resources and staff engagement. As such, for some implementation strategies, subsequent changes or adaptations to the content, mode of delivery, frequency and duration such as abbreviated training sessions, were made to optimise fidelity to and engagement with the strategies. Most strategies were perceived to be acceptable by service staff. Use of strategies prior to implementation of the ADAPT CP such as the engagement meetings and training sessions, positively impacted on ownership and preparedness to implement the ADAPT CP. Furthermore, ongoing support such as provision of additional training or monthly meetings facilitated increased awareness and engagement with the ADAPT program. Conclusion: Flexibility in delivering implementation strategies, and ensuring staff engagement with, and acceptability of those strategies, can support implementation of interventions within healthcare settings. Trial registration: The ADAPT CRCT was registered prospectively with the ANZCTR on 22/3/2017. Trial ID ACTRN12617000411347. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=372486&isReview=true [ABSTRACT FROM AUTHOR]

COVID-19 remains a significant public health problem in New South Wales, Australia. Although the NSW government is employing various control policies, more specific and compelling interventions are needed to control the spread of COVID-19. This paper presents a modified SEIR-X model based on a nonlinear ordinary differential equations system that considers the transmission routes from asymptomatic (Exposed) and symptomatic (Mild and Critical) individuals. The model is fitted to the corresponding cumulative number of cases in metropolitan and rural health districts of NSW reported by the Health Department and parameterised using the least-squares method. The basic reproduction number (R 0) , which measures the possible spread of COVID-19 in a population, is computed using the next generation operator method. Sensitivity analysis of the model parameters reveals that the transmission rate had an enormous influence on R 0 , which may be an option for controlling this disease. Two time-dependent control strategies, namely preventive (it refers to effort at inhibiting the virus transmission and prevention of case development from Exposed, Mild, Critical, Non-hospitalised and Hospitalised population) and management (it refers to enhance the management of Non-hospitalised and Hospitalised individuals who are infected by COVID-19) measures, are considered to mitigate this disease's dynamics using Pontryagin's maximum principle. The most sensible control strategy is determined through the cost-effectiveness analysis for the metropolitan and rural health districts of NSW. Our findings suggest that of the single intervention strategies, enhanced preventive strategy is more cost-effective than management control strategy, as it promptly reduces COVID-19 cases in NSW. In addition, combining preventive and management interventions simultaneously is found to be the most cost-effective. Alternative policies can be implemented to control COVID-19 depending on the policymakers' decisions. Numerical simulations of the overall system are performed to demonstrate the theoretical outcomes. [ABSTRACT FROM AUTHOR]

Background: The mental health impacts of workers within correctional settings has been of increasing focus over the past number of years. This paper outlines the study protocol for a trial that tests the efficacy of a brief resilience program, relative to a no intervention control in reducing general psychological distress and absenteeism in a cohort of correctional personnel in NSW, Australia. Methods: A, parallel, randomized controlled trial will be carried out in a small group format. Following informed consent, corrective personnel within prisons across NSW will volunteer to either attend a clinician delivered resilience program on stress management skills or not (N = 600). The primary outcome will be change in psychological distress including anxiety and depression at 2-months post intervention. Secondary outcomes include help-seeking behaviours and absenteeism. Discussion: This prevention focused treatment trial will assess whether a brief clinician delivered resilience program will reduce absenteeism and mitigate psychological distress in a cohort of corrective personnel within NSW, Australia. This study will yield insights into the role of a brief psychological program in mitigating the psychological distress reported by personnel in correctional settings. Trial registration: This trial was prospectively registered on the Australian New Zealand Clinical Trials Registry (ACTRN12622000029796). Ethics and dissemination: Ethics approval has been obtained from University of New South Wales Human Research Ethics Committee. Results of the trial will be submitted for publication in peer reviewed journals and findings presented at scientific conferences and to key service providers and policy makers. [ABSTRACT FROM AUTHOR]

Overweight and obesity has reach pandemic levels, with two-thirds (67%) of adult Australians classified as overweight or obese. As two of the most significant behavioral risk factors for obesity are modifiable (diet and exercise), there exists an opportunity for treatment through workplace health promotion initiatives. As one of Australia's largest industries with its own unique workplace factors, the mining industry has previously reported higher than population levels of overweight and obesity. This represented an opportune setting to test the RESHAPE workplace wellness program. RESHAPE is an eight-step framework (based on the WHO 'Health Workplace Framework and Model') which aims to provide a sustained approach to wellness in the workplace. This paper presents baseline findings from a pilot study that aimed to implement RESHAPE at three mine sites in NSW, Australia, and investigates the issue of overweight and obesity in the coal mining industry. Across three mine sites, 949 coal miners were examined cross-sectionally on a range of workplace, wellness, health, diet, and exercise factors using a paper-based survey. This was a predominantly male sample (90.4%) with the majority (59.2%) of participants aged 25–44 years. Self-reported height and weight measures indicated that less than 20 percent (18.9%) of participants were in a healthy BMI range, while there were effectively equal numbers of overweight (40.9%) and obese (39.1%) participants. Only 3.5% of participants met the daily recommendation for vegetables (5 serves) and shift-workers had greater association with elevated BMI compared to non-shift workers (B = 1.21, 95% CI: 0.23, 2.20, p = 0.016). Poor nutrition is likely to be a key component in elevated levels of overweight and obesity within this industry, with workplace factors compounding challenges workers face in implementing health behavior change. Future studies would benefit from assessing diet and physical activity knowledge in relation to recommendations and serving sizes. [ABSTRACT FROM AUTHOR]

There is a long history of coastal erosion caused by frequent storm surges in the coastal regions of Australia, which imposes great threats to communities and infrastructures alongside the beach. Old Bar Beach, New South Wales, Australia, is one such hotspot famous for its extreme coastal erosion. To apply remedial measures such as beach nourishment effectively and economically, estimating/reconstructing the subsurface hydrogeology over the coastal areas is essential. A geophysical tool such as a ground-penetrating radar (GPR) which works on the principle of reflecting electromagnetic (EM) waves, can be conveniently deployed to delineate the soil and rock profiling, water-table depth, bedrock depth, and the subsurface structural features. Here, DeepLabv3+ architecture based newly developed deep convolutional neural networks (DCNNs) were used to establish an inherent non-linear relationship between the GPR data and the EM wave velocity. The presented DCNNs have a lesser number of layers, a lesser number of trainable (learnable) parameters, a high convergence rate and, at the same time, achieve prediction accuracy comparable to that of well-established DeepLabv3+ networks, having high trainable parameters and a relatively low convergence rate. Here, firstly the DCNNs were trained and validated on small 1D datasets. Each dataset contains a 1D GPR trace and a corresponding EM velocity model. The DCNNs turned out to be quite promising in the 1D case, with training, validation, and testing accuracy of approximately 95%, 94%, and 95%, respectively. Secondly, 1D trained weights were applied to 2D synthetic GPR data for EM velocity prediction, and the accuracy of prediction achieved was approximately 95%. Seeing the excellent performance of the DCNNs in the 2D prediction case using 1D trained weights, a large amount of 1D synthetic datasets (approximately 1.2 million) were generated and gaussian noise was added to it to replicate the real field scenario. Thirdly, topographically corrected GPR data acquired over the Old Bar Beach were inverted using the DCNNs trained on 1.2 million 1D synthetic datasets to obtain the subsurface high-resolution, high-precision EM velocity, and ε r distribution information to understand the hydrogeology over the beach. The findings presented in this paper agree well with the previous hydrogeological studies carried out using GPR. Our findings show that DCNNs, along with GPR, can be successfully used in coastal environments for the quick and accurate hydrogeological investigation required for the implementation of coastal erosion mitigation methods such as beach nourishment. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to investigate the nature of public opposition (PO) to the siting of construction and demolition (C&D) waste management facilities in Australia. A qualitative case study of PO to the development proposal for the Gunnedah waste facility, in the state of New South Wales (NSW), was conducted. The waste facility is promised to process up to 250 kilotons of waste materials, much of which is C&D waste intended for use in road constructions after processing. Using a content analysis approach, the study analysed 86 public submissions that were lodged within the allocated development application exhibition period to systematically analyse the arguments used by the submitters about the establishment of the facility. The case study revealed five broad perceived risk classes to the siting of the Gunnedah waste facility, namely location, environmental, human health, financial and process risks. It was also shown that while not-in-my-back-yard (NIMBY) attitudes may have played a part in the PO to the sitting at the facility, the PO was heavily affected by the poor public participation process. The study outlines key strategies for an effective public participation process that may assist with the management of PO to the siting of C&D waste management facilities in Australia. The study contributes to the theory and practice of effective C&D waste management, enhancing the social acceptance of such facilities toward a more circular economy in the built environment. [ABSTRACT FROM AUTHOR]

Background: The current study aimed to further our understanding of second opinions among medical oncology patients by examining the proportion of patients who sought a second opinion about their cancer treatment, and why. Methods: The study was conducted between 2013 and 2015 in three medical oncology clinics located in public hospitals in Australia: in metropolitan New South Wales, metropolitan Queensland, and in Tasmania. Those patients who provide written informed consent were asked to complete a brief paper and pencil survey in the clinic containing questions on sociodemographic, disease and treatment characteristics. Approximately 1 month later, participants were mailed a second paper and pencil survey which contained questions about whether they had sought a second opinion and their motivation for doing so. Non-responders were followed up by letter at 3 and 6 weeks. Results: Of 823 patients screened for eligibility, 698 eligible patients, 612 provided consent. Of those who consented, 355 completed both the initial survey and the second survey and were included in the analyses. Of the 57 patients who sought a second opinion, the most frequent reasons given for doing so were the need for reassurance (49.1%) and the need to consider the range of treatment options (41.8%). Of the 297 (83.6%) participants who did not seek a second opinion, the main reason was confidence in the first doctor (88.7%). Only 3.1% patients did not know that they could ask for a second opinion. Occasionally the doctor will initiate the referral for a second opinion. Conclusions: Our study suggests that a minority of cancer patients seek a second opinion at some phase during their care. Most did so for reassurance or to ensure that they had covered all of the treatment options and not because of discomfort or distrust of their treating doctor. Few patients reported a lack of awareness of second opinions. This suggests that second opinions form part of a patient-centred approach to information provision about care options. Whether the second opinion improves the quality of care or indeed outcomes has been difficult to demonstrate. [ABSTRACT FROM AUTHOR]

This paper presents the findings of an observational study of 17 telephone interpreted lawyer-client interviews in New South Wales, Australia. It focuses on the lawyers' and interpreters' interactional management approaches when they work together remotely. The study highlights a number of issues pertaining to this particular mode of interpreting, including a distinct lack of briefing, ignorance of existing protocols, poor working conditions and at times technical problems. The study found mixed results relating to interpreters' compliance with the code of ethics. The vast majority of interpreters adhered to the normative practice by using the standard first-person pronoun, however instances of interpreters adopting extra roles were prevalent, which is most likely due to lack of training and adequate credentials. Interestingly, most interpreters were passive participants, who rarely initiated coordination functions. On the other hand, the lawyers seemed conversant with the role of the interpreter and demonstrated active coordination strategies to help interpreters overcome some of the inherent challenges of telephone interpreting. The paper concludes with a number of recommendations. [ABSTRACT FROM AUTHOR]

Introduction: This study investigated differences between rural Australian First Nations and non-First Nations survey respondents' perceptions of COVID-19-related risks and analysed other variables that could predict an exacerbation of anxiety related to COVID-19 harms.Methods: A cross-sectional online and paper survey of rural residents from the western regions of NSW, Australia, was conducted. Descriptive and multivariate statistical analyses were used to assess links between First Nations status and demographic measures including postcode, age, gender, education, rural or town/village location, proximity to medical services and living situation. The analysis included five items related to perceptions about COVID-19: perceived likelihood of contracting COVID-19 in the next 12 months, perceived harmfulness of the virus, how often people felt afraid, perception about respondents' ability to do something about the virus and perceived economic impacts of the pandemic.Results: There were significant differences between First Nations (n=60) and non-First Nations (n= 639) respondents across all sociodemographic categories. The results reflect a significantly higher level of anxiety among the First Nations Australians in the sample: they felt afraid more often, felt it was highly likely they would catch the virus and if they did catch the virus perceived that it would be very harmful. Living with children under eighteen years of age and in small rural towns were key factors linked to feeling afraid of COVID-19 and First Nations status.Conclusion: Health risk communication in pandemic response should include an equitable focus on rural areas, recognising that First Nations Australians are a significant proportion of the rural population with different risk factors and concerns than those of non-First Nations Australians. This principle of First Nations-led design is critical to all health policy and planning. The Australian Government should include rural areas in planning pandemic responses, recognising that First Nations populations are a significant proportion of the rural population creating syndemic conditions. [ABSTRACT FROM AUTHOR]

Background: Health organisations are increasingly implementing 'embedded researcher' models to translate research into practice. This paper examines the impact of an embedded researcher model known as the embedded Economist (eE) Program that was implemented in an Australian Primary Health Network (PHN) located in regional New South Wales, Australia. The site, participants, program aims and design are described. Insights into the facilitators, challenges and barriers to the integration of economic evaluation perspectives into the work of the PHN are provided.Methods: The eE Program consisted of embedding a lead health economist on site, supported by offsite economists, part-time, for fifteen weeks to collaborate with PHN staff. Evaluation of the eE at the PHN included qualitative data collection via semi-structured interviews (N= 34), observations (N=8) and a field diary kept by the embedded economists. A thematic analysis was undertaken through the triangulation of this data.Results: The eE Program successfully met its aims of increasing PHN staff awareness of the value of economic evaluation principles in decision-making and their capacity to access and apply these principles. There was also evidence that the program resulted in PHN staff applying economic evaluations when commissioning service providers. Evaluation of the eE identified two key facilitators for achieving these results. First, a highly receptive organisational context characterised by a work ethic, and site processes and procedures that were dedicated to improvement. Second was the development of trusted relationships between the embedded economist and PHN staff that was enabled through: the commitment of the economist to bi-directional learning; facilitating access to economic tools and techniques; personality traits (likeable and enthusiastic); and because the eE provided ongoing support for PHN projects beyond the fifteen-week embedding period.Conclusions: This study provides the first detailed case description of an embedded health economics program. The results demonstrate how the process, context and relational factors of engaging and embedding the support of a health economist works and why. The findings reinforce international evidence in this area and are of practical utility to the future deployment of such programs. [ABSTRACT FROM AUTHOR]

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Accurate short-term load forecasting (STLF) is of positive significance to the effective management of power companies and the stable operation of society. In spite of many studies conducted in this field, there are few to consider the inherent disadvantages of an individual module, which results in sub-optimal forecasting accuracy. Therefore, by integrating data preprocessing module and optimization module into support vector regression (SVR) forecasting module, this paper successfully presents a novel model (AHO-Lasso-SVR). The data preprocessing module, which is comprised of feature construction and Lasso feature selection, is used to construct and select meaningful features. An adaptive hybrid optimization (AHO) algorithm is proposed by introducing two strategies on the basis of standard particle swarm optimization (PSO). The AHO algorithm inevitably increases the computational complexity of model learning, thus, this paper proposes a subsampling technology to improve the optimization efficiency of the algorithm based on the sparsity of SVR. The proposed model is used to forecast the load at 48 points in the next day. To verify the properties of the proposed model, power load data from New South Wales, Australia are adopted as a case study. The results reveal that our model positively exceeds all comparison models in terms of forecasting accuracy and stability. [ABSTRACT FROM AUTHOR]

Background: It seems to be a truth universally acknowledged that pathways to care for people with eating disorders are inconsistent and difficult to navigate. This may, in part, be a result of the complex nature of the illness comprising both mental and medical ill-health across a broad range of severity. Care therefore is distributed across all parts of the health system resulting in many doors into the system, distributed care responsibility, without well developed or integrated pathways from one part of the system to another. Efforts in many parts of the world to redesign health service delivery for this illness group are underway, each dependent upon the local system structures, geographies served, funding sources and workforce availability. Methods: In NSW—the largest populational jurisdiction in Australia, and over three times the size of the UK—the government embarked six years ago on a program of whole-of-health system reform to embed identification and treatment of people with eating disorders across the lifespan and across the health system, which is largely publicly funded. Prior to this, eating disorders had not been considered a 'core' part of service delivery within the health system, meaning many patients received no treatment or bounced in and out of 'doorways'. The program received initial funding of $17.6 million ($12.5 million USD) increasing to $29.5 million in phase 2 and the large-scale service and workforce development program has been implemented across 15 geographical districts spanning almost one million square kilometres servicing 7.75 million people. Conclusions: In the first five years of implementation there has been positive effects of the policy change and reform on all three service targets—emergency departments presentations, hospital admissions and community occasions of service as well as client hours. This paper describes the strategic process of policy and practice change, utilising well documented service design and change strategies and principles with relevance for strategic change within health systems in general. Plain English summary: This review outlines a $30 million health system reform to eating disorder treatment implemented by the NSW State Government six years ago which has seen large-scale service and workforce development across 15 geographical districts. This spans almost one million square kilometres and services 7.75 million people in Australia. The reform is very large in scale and is now in its second phase of implementation. Here outlined is the strategic process of policy and practice change of the entire reform and initial findings from an external review of phase one, which demonstrates positive effects on all three service targets—emergency departments presentations, hospital admissions and community occasions of service—including increased rates of treatment provision, improved perception of eating disorders amongst health professionals, improved pathway options and better communication within multidisciplinary teams. This type of whole-of-health system government led reform has relevance and learnings for health systems internationally. [ABSTRACT FROM AUTHOR]

Preserving and providing access to local archives is one of the roles performed by public libraries in New South Wales. This role is not mandated, nor is it a stated priority for public libraries. Local government records are regulated by legislation, but what of the other records documenting the lives of rural and city communities? In many cases the library’s local studies collection becomes the default home of the archives of local community organisations and of individuals whose personal papers are acquired by libraries. In some cases, the library shares the role of maintaining local archives with historical societies, museums and universities. The result is a functioning example of distributed custody, where public libraries and other local institutions take responsibility for local archives. This paper is a case study that draws on two major surveys of local studies collections undertaken by the State Library of NSW, the first in 1984 and the second in 2013–2014. It concludes that public libraries have been critical for over 50 years in ensuring that local archives have been acquired and managed, despite there being no explicit regulatory or policy frameworks for doing so. [ABSTRACT FROM AUTHOR]

The spread of COVID-19 has prompted Governments around the world to impose draconian restrictions on business activity, public transport, and public freedom of movement. The effect of these restrictions appears to vary from country to country and, in some cases, from one area to another within a country. This paper examines the impact of the COVID-19 restrictions imposed in New South Wales (NSW) by the State Government. We examine week-to-week changes in 13 categories of crime (and four aggregated categories) from 2 January 2017 to 28 June 2020. Rather than using the pre-intervention data to make a forecast and then comparing that with what is actually observed, we use a Box–Jenkins (ARIMA) approach to model the entire time series. Our results are broadly in accord with those of other studies, but we find no effect of the lockdown (upward or downward) on domestic assault. [ABSTRACT FROM AUTHOR]

The emergence of Building Information Modelling (BIM) has revolutionized the infrastructure construction industry by introducing real-time and collaborative information management tools to be used throughout the lifecycle of projects. The importance of BIM in this industry has been emphasized in previous research. However, strategies for the implementation of this system is still less explored, which requires more elaboration and validation. The purpose of this paper is to investigate such strategies considering all necessary dimensions of the BIM system in infrastructure construction projects. The findings are based on theoretical discussion and semi-structured interviews in a case study project in New South Wales, Australia. The results revealed that BIM integrates various elements of infrastructure construction, which include but are not limited to risk, time, cost, energy, safety, and sustainability. It was found that implementation strategies should focus on improving the contribution of the BIM system to infrastructure construction in terms of improved (1) integrity and automation, (2) collaboration, and (3) optimization. Identification of seven technical and managerial implementations strategies is the core contribution of this research. These strategies provide practitioners with insight into technical and managerial measures to be taken for the successful implementation of the BIM system. [ABSTRACT FROM AUTHOR]

A membrane-type vacuum consolidation system, including surcharge loading and prefabricated vertical drains, was applied to rapidly consolidate soft clay beneath a circular embankment located at the National Field Testing Facility (NFTF) at Ballina, New South Wales (NSW), Australia. Most previous studies were devoted to multidrain systems corresponding to an embankment strip loading in two-dimensional (2D) plane strain. So far, no case study has been investigated using vacuum consolidation via prefabricated vertical drains (PVDs) beneath a circular loaded area, where the system conforms to an axisymmetric problem. This paper outlines the site investigation, construction technique, and installation of a suite of instrumentation on this circular embankment. It also describes and discusses consolidation during and after the construction of this embankment in terms of settlement, excess pore water pressure, lateral deformation, and water flow relationships as they pertain to prediction embankment with vertical drains and surcharge only. The case study demonstrates that a loss of vacuum pressure can be prevented using the proposed approach in a membrane system. Treatment of water extracted using the vacuum consolidation technique, especially in acid-sulfate terrain, is also presented. [ABSTRACT FROM AUTHOR]

Background: Law purports to regulate end-of-life care but its role in decision-making by doctors is not clear. This paper, which is part of a three-year study into the role of law in medical practice at the end of life, investigates whether law affects doctors' decision-making. In particular, it considers whether the fact that the law differs across Australia's three largest states - New South Wales (NSW), Victoria and Queensland - leads to doctors making different decisions about withholding and withdrawing life-sustaining treatment from adults who lack capacity. Methods: A cross-sectional postal survey of the seven specialties most likely to be involved in end-of-life care in the acute setting was conducted between 18 July 2012 and 31 January 2013. The sample comprised all medical specialists in emergency medicine, geriatric medicine, intensive care, medical oncology, palliative medicine, renal medicine and respiratory medicine on the AMPCo Direct database in those three Australian states. The survey measured medical specialists' level of legal compliance, and reasons for their decisions, concerning the withholding or withdrawal of lifesustaining treatment. Multivariable logistic regression was used to examine predictors of legal compliance. Linear regression was used to examine associations between the decision about life-sustaining treatment and the relevance of factors involved in making these decisions, as well as state differences in these associations. Results: Response rate was 32% (867/2702). A majority of respondents in each state said that they would provide treatment in a hypothetical scenario, despite an advance directive refusing it: 72% in NSW and Queensland; 63% in Victoria. After applying differences in state law, 72% of Queensland doctors answered in accordance with local law, compared with 37% in Victoria and 28% in NSW (p < 0.001). Doctors reported broadly the same decision-making approach despite differences in local law. Conclusions: Law appears to play a limited role in medical decision-making at the end of life with doctors prioritising patient-related clinical and ethical considerations. Different legal frameworks in the three states examined did not lead to different decisions about providing treatment. More education is needed about law and its role in this area, particularly where law is inconsistent with traditional practice. [ABSTRACT FROM AUTHOR]

Objective: To evaluate nurses' satisfaction and experiences of redeployment during COVID-19. Background: Redeployment to an unfamiliar environment can be challenging; however, it can also present an opportunity for staff to learn new skills. During the COVID-19 pandemic, the need to redeploy health professionals, particularly nurses, increased dramatically. Evaluating nurses' satisfaction and experiences related to redeployment during the pandemic is essential for future surge planning. Methods: A cross-sectional online survey consisting of single-choice and open-ended questions was conducted on a purposive sample of nurses (n=106) working in an acute hospital in New South Wales, Australia, from July to August 2020. Nurses who were redeployed to wards different from their regular workplaces were invited to participate in the survey. Areas of redeployment include various medical and surgical wards, intensive care units and the emergency department. Nurses' satisfaction was obtained through the survey question structured as a Likert scale ranging from very satisfied to very dissatisfied. Nurse experiences were captured through a single-choice question (positive or negative experience) and open-ended questions. The single- choice questions were analysed by summarising participant responses, and open-ended questions were analysed using an iterative thematic analysis approach. Results: A high proportion of nurses were either neutral (48.4%, n=45) or dissatisfied (44.1%, n=41) with redeployment, with only 7.5% (n=7) of nurses being satisfied. There was a mix of positive (43%, n=40) and negative (57%, n=53) redeployment experiences. Three main themes influence nurses' redeployment experience: "staff friendly and welcoming", "patient allocation", and "support". Conclusion: Redeployment of healthcare workers during a pandemic is inevitable. This study highlighted that despite close to half of the redeployed nurses reporting a positive redeployment experience, only a few were satisfied with redeployment. This indicated that more work is required to support nurses during redeployment to increase satisfaction. Future workforce redeployment needs to consider healthcare workers' needs and must strive to improve satisfaction to build a sustainable and resilient health system. Implications for research, policy, and practice: This study highlighted that although redeployment is challenging, staff can have a positive redeployment experience when supported. Elements that are associated with positive redeployment experience were explored in this study, which can inform policy and prepare nurses for future surge demand. What is already known about the topic? • Redeployment of nurses in the acute care sector during the COVID-19 pandemic is common. • Both the COVID-19 pandemic and redeployment can be challenging and stressful experiences for nurses. • There is a paucity of research examining the satisfaction and experiences of nurses working in the acute care sector during COVID-19 in Australia. What this paper adds: • This study provides evidence that many nurses working in the acute sector during COVID-19 in Australia had positive redeployment experiences. Despite this, very few were satisfied with redeployment. • This study has identified essential factors to a positive redeployment experience. • This study also highlighted the need to improve nurses' satisfaction with redeployment. [ABSTRACT FROM AUTHOR]

Introduction: Internationally, cultural factors are associated with vaccine uptake and completion in ethnic minority communities. Whilst Australia has achieved high human papillomavirus (HPV) vaccination, little is known about how culture or ethnicity influences HPV vaccination engagement. To address these gaps, we partnered with our Local Health District to explore how one culturally and linguistically diverse (CALD) community engages with school and HPV vaccination. Methods: We adapted a participatory research method (the World Café) to engage one local CALD community—the Macedonian community (Our bi‐cultural researcher and participants preferred the term 'Macedonia' rather than The Republic of North Macedonia as outlined in the 2018 Prespa agreement) in New South Wales (Australia)—to discuss HPV and school vaccination. Our qualitative analysis combined deductive codes taken from the Tailoring Immunization Programme framework, inductive codes guided by narrative inquiry (temporality, sociality and place) and previously known vaccination 'trust' frameworks. Results: In late 2019, 31 local Macedonian community members were purposely recruited for two World Cafés (n = 15 mothers/grandmothers and n = 16 young adults). Our themes reveal a community narrative grounded in historical vaccine experiences, family views on vaccination and a general trust in schools. Participants collectively discussed how 'increasing knowledge' and 'tailoring health communications' could strengthen community vaccine decision‐making. Conclusion: This study demonstrates how research partnerships and participatory methods can be applied in CALD community settings to research engagement with school and HPV vaccination. Our World Café dialogues highlight a positive narrative about vaccines, where community vaccination behaviours were built on multilayer trust relationships despite low vaccine knowledge. Our findings further knowledge around 'public trust' in school vaccination, highlighting the importance of existing (or missing) trust relationships when tailoring vaccine communication to local CALD communities. Patient or Public Contribution: Participants who took part in the World Cafes were all local Macedonian community parents or young adults who have been or will be exposed to the health services offered by school‐based HPV vaccination. Thus, all the data collected came from their personal experiences with the school vaccination programme, or how they expect to participate in the programme. To ensure our study design was culturally appropriate and tailored to the Macedonian community, we engaged with the relevant local health stakeholders (the bi‐cultural Multicultural Health Officer and Multicultural Health Service Manager Programme Director) to adapt and refine the World Café method for this context and setting. Our local health stakeholders also reviewed our preliminary findings, assisted with data interpretation and participated in manuscript editing. [ABSTRACT FROM AUTHOR]

Background: Optimal strategies to facilitate implementation of evidence-based clinical pathways are unclear. We evaluated two implementation strategies (Core versus Enhanced) to facilitate implementation of a clinical pathway for the management of anxiety and depression in cancer patients (the ADAPT CP). Methods: Twelve cancer services in NSW Australia were cluster randomised, stratified by service size, to the Core versus Enhanced implementation strategy. Each strategy was in place for 12 months, facilitating uptake of the ADAPT CP (the intervention being implemented). The Core strategy included a lead team with champions, staff training and awareness campaigns prior to implementation, plus access to feedback reports and telephone or online support during implementation. The Enhanced strategy included all Core supports plus monthly lead team meetings, and proactive, ongoing advice on managing barriers, staff training and awareness campaigns throughout implementation. All patients at participating sites were offered the ADAPT CP as part of routine care, and if agreeable, completed screening measures. They were allocated a severity step for anxiety/depression from one (minimal) to five (severe) and recommended management appropriate to their severity step. Multi-level mixed-effect regression analyses examined the effect of Core versus Enhanced implementation strategy on adherence to the ADAPT CP (binary primary outcome: adherent ≥ 70% of key ADAPT CP components achieved versus non-adherent < 70%), with continuous adherence as a secondary outcome. Interaction between study arm and anxiety/depression severity step was also explored. Results: Of 1280 registered patients, 696 (54%) completed at least one screening. As patients were encouraged to re-screen, there were in total 1323 screening events (883 in Core and 440 in Enhanced services). The main effect of implementation strategy on adherence was non-significant in both binary and continuous analyses. Anxiety/depression step was significant, with adherence being higher for step 1 than for other steps (p = 0.001, OR = 0.05, 95% CI 0.02–0.10). The interaction between study arm and anxiety/depression step was significant (p = 0.02) in the continuous adherence analysis only: adherence was significantly higher (by 7.6% points (95% CI 0.08–15.1%) for step 3 in the Enhanced arm (p =.048) and trending to significance for step 4. Discussion: These results support ongoing implementation effort for the first year of implementation to ensure successful uptake of new clinical pathways in over-burdened clinical services. Trial registration: ANZCTR Registration: ACTRN12617000411347 (Trial registered 22/03/2017; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=372486&isReview=true) [ABSTRACT FROM AUTHOR]