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1 Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney;... I Implementation Science 2023, i B 18(2): b SP a sp Mitchell Sarkies and Hossai Gul contributed equally to this paper SP b sp Andrew Baillie, Lauren Christie, Caleb Ferguson, Julie Gawthorne, Helen Goldsmith, Nicolette Hodyl, Natasha Howard, Karen Hutchinson, Marlena Klaic, Joanna Moullin, Nicole Nathan, Sanne Peters, Nicole Rankin, Ben Smith, Serene Yoong. Only one study reported facilitators to the IMPLEMENTATION of CDS systems, none reported on barriers to the implementation of CDS systems and none reported any information on successful strategies to MAINTAIN implementation of CDS systems. B Methods b A sequence of three studies were conducted via a mixed method methodology and structured by the process model Implementation Mapping (IM) to guide the development of implementation strategies. B Conclusions b Process mapping successfully identifies site-specific variation in complex clinical processes and facilitates a shared understanding of the current systems and factors that affect implementation. [Extracted from the article]

This paper examines the impact of daylight saving time (DST) on fatal road crashes in Australia. I exploit within year transitions to and from DST in a regression discontinuity in time framework. To examine the long run effect of the policy, I use trials of DST implemented in various states, and a DST extension due to the Sydney Olympics. Neither the transition to or out of DST, nor the long run effects of DST have an impact on fatalities on the road. However, there is evidence of reallocation of accidents over the day due to ambient light. [ABSTRACT FROM AUTHOR]

In Australia and internationally, domestic violence is a major cause of homelessness for women and children and yet provision for accommodation for this user-group is not well documented or understood. When designing emergency accommodation, the concerns, preferences, and perspectives of individuals who access refuge services must be sought in order to create spaces that are conducive to the needs of this diverse and vulnerable group. An empathic 'lens' can provide meaningful insights that can inform the design of refuge services specifically targeted at addressing these needs. This paper describes an authentic interdisciplinary learning experience for nursing, architecture and landscape students at a university in Sydney, Australia, and presents the results of a study designed to measure the impact of this initiative on participants' empathy towards women and children who access refuge services as a result of homelessness and/or domestic violence. Empathy levels were measured using the Comprehensive State Empathy Scale, a validated measurement tool. The learning experience consisted of collaborative meetings with stakeholders from the refuge sector, fieldwork, individual research, exchanging ideas and problem-solving in teams. Students then developed design guides for refuges that demonstrated their emerging understanding of the specific needs and perspectives of the issues faced by women and children who had experienced violence and found themselves homeless. Pre-post Comprehensive State Empathy Scale results indicated that the empathy levels of nursing and landscape students increased and those of architecture students decreased, however, these results were not statistically significant. The significance of the results from this study include an ability to compare the changes in empathy in students working collaboratively on a project and to ascertain possible reasons for this using a validated measurement tool. As empathy is one of the strongest negative correlates of prejudice, authentic teaching and learning activities, such as the one described in this paper, have the potential to positively impact the lived experience of women and children leaving situations of domestic violence. [ABSTRACT FROM AUTHOR]

In the terminological apparatus of sociolinguistics, there are many unambiguous and ambiguous concepts that refer to the non-first language of different social groups. In line with the new European tendency, Bulgarian sociolinguistics names the language of Bulgarian emigrants around the world using terms offered in the theoretical papers of famous authors or schools working in the field of sociolinguistic emigration. The text proposed here is an attempt to redefine all these concepts and summarize them into one which indicates the hereditary Bulgarian emigrant language that is characteristic of the language of the Bulgarian immigrant community in Australia. [ABSTRACT FROM AUTHOR]

Wood utility poles are widely applied in power transmission and telecommunication systems in Australia. Because of a variety of external influence factors, such as fungi, termite and environmental conditions, failure of poles due to the wood degradation with time is of common occurrence with high degree uncertainty. The pole failure may result in serious consequences including both economic and public safety. Therefore, accurately and timely identifying the health condition of the utility poles is of great significance for economic and safe operation of electricity and communication networks. In this paper, a novel non-destructive evaluation (NDE) framework with advanced signal processing and artificial intelligence (AI) techniques is developed to diagnose the condition of utility pole in field. To begin with, the guided waves (GWs) generated within the pole is measured using multi-sensing technique, avoiding difficult interpretation of various wave modes which cannot be detected by only one sensor. Then, empirical mode decomposition (EMD) and principal component analysis (PCA) are employed to extract and select damage-sensitive features from the captured GW signals. Additionally, the up-to-date machine learning (ML) techniques are adopted to diagnose the health condition of the pole based on selected signal patterns. Eventually, the performance of the developed NDE framework is evaluated using the field testing data from 15 new and 24 decommissioned utility poles at the pole yard in Sydney. [ABSTRACT FROM AUTHOR]

Since the needs and expectations of communities towards their urban environments often vary, landscape management strategies can often be prone to fail in the absence of social considerations. It is therefore incumbent on policy-makers to investigate and attempt to reconcile diverse community perceptions toward the natural and built environment for more equitable governance. This is of particular interest when planning and managing nature-based solutions (NBS) for river protection. We considered this challenge in understanding human values, perceptions and behaviour in a multilayered ecosystem that includes waterways, NBS, green open spaces, and a built environment. This paper analyses perceptions and behaviour around a public urban park next to the Georges River in Sydney Australia, utilizing a proxy-based approach and a mixed-method comprising community surveys and behavioural mapping. The results showed that while users perceive the significance of the urban river environment differently, naturalistic (ecological), humanistic (recreational) and utilitarian (well-being) values are dominant. Urban river catchments are highly valued for recreational purposes, with a strong perception of potential flooding hazards. Through exploring the literature, we recognized that the dominancy of leisure-related values around urban river catchments can be generalized to similar cases worldwide. While NBS, as an urban stormwater management solution, address some user values (e.g., naturalistic) around urban river catchments, they may lack further delivery of humanistic and utilitarian values due to the poor integration with recreational and cultural spaces. It was also the case around the Georges River, where low prominence of cultural features was observed. We concluded that NBS development around Georges River and other urban river catchments should incorporate socio-cultural considerations and community values, in particular the ones related to leisure. The gaps between users' beliefs and behaviour do not greatly challenge governance, provided that the decision-makers utilise these gaps for optimising management actions. • We used mixed-method approach to show community values in urban environment. • Behavioural mapping was a complementary process in value perception analysis. • Study highlighted the importance of ecological, recreational and utilitarian values. • Existing NBS addresses naturalistic values, but lacks cultural, recreational values. • Management actions need to consider socio-cultural values and landscape integration. [ABSTRACT FROM AUTHOR]

Introduction: In Australia there has been a sharp increase in the proportion of older people who live alone. Living alone increases the risk of being socially isolated or experiencing loneliness. Older people who are lonely have an increased risk of dying sooner and are more likely to experience a decline in their mobility [1]. Understanding if and how social isolation/loneliness impacts on managing health conditions and use of health services is important in providing quality care and preventing premature mortality. Living alone is not necessarily a predictor of social isolation/loneliness, rather lack of time spent with family or friend may be a better indicator. More supportive social relationships are related to a decreased mortality risk [2]. Research has been undertaken on the determinants of isolation/loneliness (individual, social, community and environment), however less emphasis has occurred on the medical determinants and how these might be mitigated. Using our existing data linkage resource, the Central and Eastern Sydney Primary and Community Health Cohort/Resource (CES-P&CH), which includes questionnaire data, primary care records, prescribing information, hospital records, emergency department records, cancer registry, and vital statistics on over 30,000 participants in CES aged 45 years and over we explored patterns of service use in people who are socially isolated. Methods: A record linkage study using 45 and Up Study questionnaire data, MBS claims, hospitalisations and deaths was undertaken. Social isolation was defined using a combination of baseline questionnaire data on living arrangements, family and friend support, and health issues that impacted on work/daily activities. Participant characteristics and health conditions at baseline (2006-2009) and health service use (including GP presentations, care plan use, and number and frequency of hospitalisations over the next 10 years) were compared for those who were defined as socially isolated versus those who were not using multivariate/time series models. Results and Discussion: At baseline 20% of participant lived alone; 30.8% had no partner; 18.5% had no children; 44.3% were not working; 4.9% regularly need help with daily tasks; 12.0% had severe physical limitations; 8.8% did not have support from family or friends; 9.6% were urinary incontinent, and 11.3% had depression or anxiety. These participants were included in the socially isolated group for the analysis if they had multiple risks. This paper will discuss the different algorithms that were developed to describe social isolation. This paper will also provide the results from the multivariate/time series models and how this information is being/can be used to better understand and provide person-centred quality care in CES. Limitations and suggestions for future research: Because the research study used an existing record linkage resource we were limited to the items that were included in the questionnaire to define social isolations. This research study would benefit from sensitivity testing of the resultant social isolation algorithm. [ABSTRACT FROM AUTHOR]

• The typical stripper in the PCC is replaced by an innovative solar stripper (So-St). • The conceptual design for direct solvent regeneration in the solar field is analysed. • A design protocol to calculate So-St segments and modules layout is developed. • The length and diameter of subsequent segments to the overall design is optimized. • The process control for the pressure drop and enhanced heat transfer is maintained. This paper presents an advanced thermodynamic analysis to design a solar stripper (So-St) field to replace the conventional desorption unit in a post-combustion carbon capture (PCC) plant. By eliminating the large, complex, and costly stripper, a solar collector field (SCF) consisting of a number of So-St arrays is sized to directly release the CO 2 gas from the rich solvent under transient conditions. In this study, a design protocol has been developed to address the key design challenges for the evolving two-phase flow in the solar receiver tube analysing the instantaneous flow regime, pressure drop, and vapour molar fraction (VMF) to enhance the heat transfer. This design protocol optimizes the physical properties of the So-St components and eventually leads to the whole So-St field sizing based on the nominal capture capacity. A case-study is demonstrated to capture 1.5M tonne CO2 /y from a representative 660 MW e coal-fired power plant in Sydney/Australia. It is found that 22 rich solvent loops that each consists of an array of 6 parallel So-St modules, where each module consists of 6 segments in series is needed. The length/diameter of these So-St segments/modules are optimized for this case-study, and the design procedures are clarified and simplified which can be easily applied for other case-studies. Techno-economic validation of this novel So-St technology is an essential step-forward to fully solarize and autonomies carbon capture industry. [ABSTRACT FROM AUTHOR]

Due to their large range across diverse habitats, flying-foxes are potential bioindicator species for environmental metal exposure. To test this hypothesis, blood spots, urine, fur, liver and kidney samples were collected from grey-headed flying-foxes (Pteropus poliocephalus) and black flying-foxes (P. alecto) from the Sydney basin, Australia. Concentrations of arsenic, cadmium, copper, lead, mercury and zinc and 11 other trace metals were determined using inductively coupled plasma mass spectrometry. As predicted, kidney and fur lead concentrations were lower compared to concentrations found in flying-foxes in the early 1990's, due to reduced environmental lead emissions. Tissue cadmium concentrations in flying-foxes were higher compared to previous studies of flying-foxes and other bat species, suggesting that flying-foxes were exposed to unrecognized cadmium sources. Identification of these sources should be a focus of future research. Urine concentrations of arsenic, cadmium, mercury, and lead were proportional to kidney concentrations. Given that urine can be collected from flying-foxes without handling, this demonstrates that many flying-foxes can be assessed for metal exposure with relative ease. The analysis of blood spots was not viable because of variable metal concentrations in the filter paper used. Fur concentrations of metals correlated poorly with tissue concentrations at the low levels of metals found in this study, but fur could still be a useful sample if flying-foxes are exposed to high levels of metals. Lastly, heat inactivation had minimal impact on metal concentrations in kidney and liver samples and should be considered as a tool to protect personnel working with biohazardous samples. • The utility of flying-foxes as bioindicators of metal pollution was explored. • Tissue lead concentrations were reduced compared to flying-foxes sampled in the 1990s. • Evidence of chronic cadmium exposure was found. • Urine concentrations of lead and cadmium reflected those found in tissues. [ABSTRACT FROM AUTHOR]

Rainwater harvesting (RWH) has become a popular water saving and conservation means across the globe. In many cities, a pre-determined rainwater tank size is generally selected without a detail water balance modelling at the location on interest. However, to achieve maximum benefit from a RWH system at a given location, it is desirable to design the system based on the site specific conditions (e.g. local rainfall and loss characteristics) and other relevant design parameters. There have been limited studies on regionalization of RWH system, which can account for the spatial variability in rainfall, loss and water demand characteristics over a given region to provide site-specific design of RWH system. This paper presents a RWH regionalization approach to develop a set of design curves, which assist in the selection of an adequate RWH system at a given location. We use rainfall data from 159 rain gauges across the Greater Sydney region in Australia to develop and test the proposed regionalization approach. It has been found that there is a significant variation in rainfall characteristics across Greater Sydney region and that a common tank size across this region does not present an adequate solution. It has been found that a 5 kL tank can achieve a reliability (i.e. percentage of days the RWH can meet the given demand) of 31–93% for four people depending on the location in the Greater Sydney region and the types of water use. The developed regional design curves could result in increased water savings across Greater Sydney. The proposed regionalization approach can be adapted to other cities across Australia and the world which present a high rainfall gradient. • Water savings by rainwater harvesting at 159 locations in Sydney are evaluated. • Reliability of a rainwater tank is moderately correlated with mean annual rainfall. • A set of design curves is developed for Sydney to enhance rainwater harvesting. [ABSTRACT FROM AUTHOR]

Volatile organic compounds (VOCs) are important precursors to the formation of ozone and fine particulate matter, the two pollutants of most concern in Sydney, Australia. Despite this importance, there are very few published measurements of ambient VOC concentrations in Australia. In this paper, we present mole fractions of several important VOCs measured during the campaign known as MUMBA (Measurements of Urban, Marine and Biogenic Air) in the Australian city of Wollongong (34°S). We particularly focus on measurements made during periods when clean marine air impacted the measurement site and on VOCs of biogenic origin. Typical unpolluted marine air mole fractions during austral summer 2012-2013 at latitude 34°S were established for CO2 (391.0 ± 0.6 ppm), CH4 (1760.1 ± 0.4 ppb), N2O (325.04 ± 0.08 ppb), CO (52.4 ± 1.7 ppb), O3 (20.5 ± 1.1 ppb), acetaldehyde (190 ± 40 ppt), acetone (260 ± 30 ppt), dimethyl sulphide (50 ± 10 ppt), benzene (20 ± 10 ppt), toluene (30 ± 20 ppt), C8H10 aromatics (23 ± 6 ppt) and C9H12 aromatics (36 ± 7 ppt). The MUMBA site was frequently influenced by VOCs of biogenic origin from a nearby strip of forested parkland to the east due to the dominant north-easterly afternoon sea breeze. VOCs from the more distant densely forested escarpment to the west also impacted the site, especially during two days of extreme heat and strong westerly winds. The relative amounts of different biogenic VOCs observed for these two biomes differed, with much larger increases of isoprene than of monoterpenes or methanol during the hot westerly winds from the escarpment than with cooler winds from the east. However, whether this was due to different vegetation types or was solely the result of the extreme temperatures is not entirely clear. We conclude that the clean marine air and biogenic signatures measured during the MUMBA campaign provide useful information about the typical abundance of several key VOCs and can be used to constrain chemical transport model simulations of the atmosphere in this poorly sampled region of the world. [ABSTRACT FROM AUTHOR]

Background: Much has been written about the use of evidence in policy; however, there is still little known about whether and how research is engaged with and used in policy development or the impact of reported barriers and facilitators. This paper aims to (1) describe the characteristics of 131 policy documents, (2) describe the ways in which research was engaged with (e.g. was searched for, appraised or generated) and used (e.g. to clarify understanding, persuade others or inform a policy) in the development of these policy documents, and (3) identify the most commonly reported barriers and facilitators and describe their association with research engagement and use.Methods: Six health policy and program development agencies based in Sydney, Australia, contributed four recently finalised policy documents for consideration over six measurement periods. Structured, qualitative interviews were conducted with the policymakers most heavily involved in developing each of the 131 policy documents. Interviews covered whether and how research was engaged with and used in the development of the policy product and any barriers or facilitators related to this. Interviews were scored using the empirically validated SAGE tool and thematically analysed. Descriptive statistics were calculated for all key variables and comparisons made between agencies. Multiple regression analyses were used to estimate the impact of specific barriers and facilitators on research engagement and use.Results: Our data shows large variations between policy agencies in the types of policy documents produced and the characteristics of these documents. Nevertheless, research engagement and use was generally moderate across agencies. A number of barriers and facilitators to research use were identified. No barriers were significantly associated with any aspects of research engagement or use. Access to consultants and relationships with researchers were both associated with increased research engagement but not use. Thus, access to consultants and relationships with researchers may increase the extent and quality of the evidence considered in policy development.Conclusions: Our findings suggest that those wishing to develop interventions and programs designed to improve the use of evidence in policy agencies might usefully target increasing access to consultants and relationships with researchers in order to increase the extent and quality of the research considered, but that a greater consideration of context might be required to develop strategies to increase evidence use. [ABSTRACT FROM AUTHOR]

Background: Major trauma patients-such as patients who have experienced road injury, high-impact falls or violence-require complex, intense and rapid resuscitation from a multidisciplinary team of clinicians. These 'flash teams' must form quickly and function effectively, often having never met before. There is evidence that multidisciplinary teamwork training improves the performance of the trauma team in simulation. However, the translation of learnt resuscitation teamwork skills from simulation into clinical practice has had modest and variable effects. This paper outlines a method for developing an intervention designed to translate the teaching from a simulated training environment into clinical practice using the theoretical domains framework, behaviour change wheel and behaviour change techniques as the theoretical and empirical basis for the process.Methods: The data used to inform the intervention development process were collected during an implementation evaluation study of the trauma team training programme at the busiest level 1 trauma centre in Sydney, Australia. A detailed barrier and enabler assessment were conducted using qualitative and quantitative data. The theoretical domains framework was used to integrate the results. Implementation interventions were selected using the behaviour change wheel.Results: Twenty-three facilitators and 19 barriers were identified to influence the implementation of trauma team training in the clinical setting. The facilitators and barriers corresponded to all 14 domains of the theoretical domains framework. Seven intervention functions and four policy categories of the behavioural change wheel were selected to address the target behaviours, and a multimodal relaunch of the revised trauma team training programme was developed.Conclusions: This study offers a framework for deductively employing the theoretical domains framework, behaviour change wheel and behaviour change techniques to assess and develop intervention strategies to improve the functioning of trauma resuscitation teams. [ABSTRACT FROM AUTHOR]

Air-sea interactions play an important role in atmospheric circulation and boundary layer conditions through changing convection processes and surface heat fluxes, particularly in coastal areas. These changes can affect the concentrations, distributions, and lifetimes of atmospheric pollutants. In this Part II paper, the performance of the Weather Research and Forecasting model with chemistry (WRF/Chem) and the coupled WRF/Chem with the Regional Ocean Model System (ROMS) (WRF/Chem-ROMS) are intercompared for their applications over quadruple-nested domains in Australia during the three following field campaigns: The Sydney Particle Study Stages 1 and 2 (SPS1 and SPS2) and the Measurements of Urban, Marine, and Biogenic Air (MUMBA). The results are used to evaluate the impact of air-sea interaction representation in WRF/Chem-ROMS on model predictions. At 3, 9, and 27 km resolutions, compared to WRF/Chem, the explicit air-sea interactions in WRF/Chem-ROMS lead to substantial improvements in simulated sea-surface temperature (SST), latent heat fluxes (LHF), and sensible heat fluxes (SHF) over the ocean, in terms of statistics and spatial distributions, during all three field campaigns. The use of finer grid resolutions (3 or 9 km) effectively reduces the biases in these variables during SPS1 and SPS2 by WRF/Chem-ROMS, whereas it further increases these biases for WRF/Chem during all field campaigns. The large differences in SST, LHF, and SHF between the two models lead to different radiative, cloud, meteorological, and chemical predictions. WRF/Chem-ROMS generally performs better in terms of statistics and temporal variations for temperature and relative humidity at 2 m, wind speed and direction at 10 m, and precipitation. The percentage differences in simulated surface concentrations between the two models are mostly in the range of ±10% for CO, OH, and O3, ±25% for HCHO, ±30% for NO2, ±35% for H2O2, ±50% for SO2, ±60% for isoprene and terpenes, ±15% for PM2.5, and ±12% for PM10. WRF/Chem-ROMS at 3 km resolution slightly improves the statistical performance of many surface and column concentrations. WRF/Chem simulations with satellite-constrained boundary conditions (BCONs) improve the spatial distributions and magnitudes of column CO for all field campaigns and slightly improve those of the column NO2 for SPS1 and SPS2, column HCHO for SPS1 and MUMBA, and column O3 for SPS2 at 3 km over the Greater Sydney area. The satellite-constrained chemical BCONs reduce the model biases of surface CO, NO, and O3 predictions at 3 km for all field campaigns, surface PM2.5 predictions at 3 km for SPS1 and MUMBA, and surface PM10 predictions at all grid resolutions for all field campaigns. A more important role of chemical BCONs in the Southern Hemisphere, compared to that in the Northern Hemisphere reported in this work, indicates a crucial need in developing more realistic chemical BCONs for O3 in the relatively clean SH. [ABSTRACT FROM AUTHOR]

Air pollution and associated human exposure are important research areas in Greater Sydney, Australia. Several field campaigns were conducted to characterize the pollution sources and their impacts on ambient air quality including the Sydney Particle Study Stages 1 and 2 (SPS1 and SPS2), and the Measurements of Urban, Marine, and Biogenic Air (MUMBA). In this work, the Weather Research and Forecasting model with chemistry (WRF/Chem) and the coupled WRF/Chem with the Regional Ocean Model System (ROMS) (WRF/Chem-ROMS) are applied during these field campaigns to assess the models' capability in reproducing atmospheric observations. The model simulations are performed over quadruple-nested domains at grid resolutions of 81-, 27-, 9-, and 3-km over Australia, an area in southeastern Australia, an area in New South Wales, and the Greater Sydney area, respectively. A comprehensive model evaluation is conducted using surface observations from these field campaigns, satellite retrievals, and other data. This paper evaluates the performance of WRF/Chem-ROMS and its sensitivity to spatial grid resolutions. The model generally performs well at 3-, 9-, and 27-km resolutions for sea-surface temperature and boundary layer meteorology in terms of performance statistics, seasonality, and daily variation. Moderate biases occur for temperature at 2-m and wind speed at 10-m in the mornings and evenings due to the inaccurate representation of the nocturnal boundary layer and surface heat fluxes. Larger underpredictions occur for total precipitation due to the limitations of the cloud microphysics scheme or cumulus parameterization. The model performs well at 3-, 9-, and 27-km resolutions for surface O3 in terms of statistics, spatial distributions, and diurnal and daily variations. The model underpredicts PM2.5 and PM10 during SPS1 and MUMBA but overpredicts PM2.5 and underpredicts PM10 during SPS2. These biases are attributed to inaccurate meteorology, precursor emissions, insufficient SO2 conversion to sulfate, inadequate dispersion at finer grid resolutions, and underprediction in secondary organic aerosol. The model gives moderate biases for net shortwave radiation and cloud condensation nuclei but large biases for other radiative and cloud variables. The performance of aerosol optical depth and latent/sensible heat flux varies for different simulation periods. Among all variables evaluated, wind speed at 10-m, precipitation, surface concentrations of CO, NO, NO2, SO2, O3, PM2.5, and PM10, aerosol optical depth, cloud optical thickness, cloud condensation nuclei, and column NO2 show moderate-to-strong sensitivity to spatial grid resolutions. The use of finer grid resolutions (3- or 9-km) can generally improve the performance for those variables. While the performance for most of these variables is consistent with that over the U.S. and East Asia, several differences along with future work are identified to pinpoint reasons for such differences. [ABSTRACT FROM AUTHOR]