19683 research outputs found
Sort by
Legacy effects of historical gold mining on floodplains of an Australian river
No full textThe gold rush at the end of the nineteenth century in south-eastern Australia resulted in the mobilization and re-deposition of vast quantities of tailings that modified the geomorphology of the associated river valleys. Previous studies of contamination risk in these systems have either been performed directly on mine wastes (e.g., battery sand) or at locations close to historical mine sites but have largely ignored the extensive area of riverine alluvial deposits extending downstream from gold mining locations. Here we studied the distribution of contaminant metal(loids) in the Loddon River catchment, one of the most intensively mined areas of the historical gold-rush period in Australia (1851–1914). Floodplain alluvium along the Loddon River was sampled to capture differences in metal and metalloid concentrations between the anthropogenic floodplain deposits and the underlying original floodplain. Elevated levels of arsenic up to 300 mg-As/kg were identified within the anthropogenic alluvial sediment, well above sediment guidelines (ISQG-high trigger value of 70 ppm) and substantially higher than in the pre-mining alluvium. Maximum arsenic concentrations were found at depth within the anthropogenic alluvium (plume-like), close to the contact with the original floodplain. The results obtained here indicate that arsenic may pose a significantly higher risk within this river catchment than previously assessed through analysis of surface floodplain soils. The risks of this submerged arsenic plume will require further investigation of its chemical form (speciation) to determine its mobility and potential bioavailability. Our work shows the long-lasting impact of historical gold mining on riverine landscapes
The politics of epidemics: From the local to the global
No full textIt is impossible to write about these two epidemics without reflecting on their direct impact on our lives. At the same time, they produced significant social, cultural and political shifts, which are often ignored in the emphasis in treating them as health emergencies. In the early 2000s, there was some interest in understanding HIV through the lens of human security, and there is an even greater urgency to bring that analysis to bear on COVID-19, which underlines the importance of expanding conventional notions of national security to include issues such as climate change and epidemic disease. </p
Identifying prey capture events of a free-ranging marine predator using bio-logger data and deep learning
No full textMarine predators are integral to the functioning of marine ecosystems, and their consumption requirements should be integrated into ecosystem-based management policies. However, estimating prey consumption in diving marine predators requires innovative methods as predator-prey interactions are rarely observable. We developed a novel method, validated by animal-borne video, that uses tri-axial acceleration and depth data to quantify prey capture rates in chinstrap penguins (Pygoscelis antarctica). These penguins are important consumers of Antarctic krill (Euphausia superba), a commercially harvested crustacean central to the Southern Ocean food web. We collected a large data set (n = 41 individuals) comprising overlapping video, accelerometer and depth data from foraging penguins. Prey captures were manually identified in videos, and those observations were used in supervised training of two deep learning neural networks (convolutional neural network (CNN) and V-Net). Although the CNN and V-Net architectures and input data pipelines differed, both trained models were able to predict prey captures from new acceleration and depth data (linear regression slope of predictions against video-observed prey captures = 1.13; R 2 ≈ 0.86). Our results illustrate that deep learning algorithms offer a means to process the large quantities of data generated by contemporary bio-logging sensors to robustly estimate prey capture events in diving marine predators
Grain Yield and Quality Losses Caused by Tan Spot in Wheat Cultivars in Australia
No full textTan spot (TS), known in Australia as yellow leaf spot, is caused by the fungal pathogen Pyrenophora tritici-repentis, a major foliar disease of wheat. Four experiments were conducted between 2016 and 2017 in two different climatic zones of southeastern Australia to determine the impact of TS on grain yield and quality in six wheat cultivars with different resistance ratings. In each experiment, high and low TS disease scenarios were applied to each cultivar. Disease severity was assessed as either whole-plot percentage leaf area affected (%LAA) or top three leaf (flag to flag-2) %LAA. Whole-plot %LAA was analyzed using both repeated measurements and area under the disease progress curve (AUDPC). For whole-plot %LAA, the repeated measurements identified differences in epidemic progression at key growth stages not identified through AUDPC. Both AUDPC and end-of-season flag to flag-2 %LAA were negatively correlated with grain yield and screenings. Increased rainfall impacting disease development and number of rain days above 5 mm increased TS severity across both climatic zones. Cultivar resistance ratings influenced grain yield loss, with moderately resistant, moderately susceptible, and susceptible cultivars losing up to 6, 18, and 24% grain yield, respectively. High disease significantly increased screenings by up to 1, 3, and 5% for moderately resistant, moderately susceptible, and susceptible cultivars, respectively. This study demonstrated that TS can cause significant grain yield losses in southeastern Australia, and a minimum cultivar rating of moderate resistance to moderate susceptibility was required to prevent severe TS and associated grain yield and quality losses. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license
Visual Data and Pattern Analysis for Smart Education: A Robust DRL-Based Early Warning System for Student Performance Prediction
No full textArtificial Intelligence (AI) and Deep Reinforcement Learning (DRL) have revolutionised e-learning by creating personalised, adaptive, and secure environments. However, challenges such as privacy, bias, and data limitations persist. E-FedCloud aims to address these issues by providing more agile, personalised, and secure e-learning experiences. This study introduces E-FedCloud, an AI-assisted, adaptive e-learning system that automates personalised recommendations and tracking, thereby enhancing student performance. It employs federated learning-based authentication to ensure secure and private access for both course instructors and students. Intelligent Software Agents (ISAs) evaluate weekly student engagement using the Shannon Entropy method, classifying students into either engaged or not-engaged clusters. E-FedCloud utilises weekly engagement status, demographic information, and an innovative DRL-based early warning system, specifically ID2QN, to predict the performance of not-engaged students. Based on these predictions, the system categorises students into three groups: risk of dropping out, risk of scoring lower in the final exam, and risk of failing the end exam. It employs a multi-disciplinary ontology graph and an attention-based capsule network for automated, personalised recommendations. The system also integrates performance tracking to enhance student engagement. Data are securely stored on a blockchain using the LWEA encryption method
Imperialism and social movement unionism in South African responses to the Just Transition
No full textIn November 2021, South Africa signed the first international Just Energy Transition Partnership (JETP). This unlocked 8.5 billion USD in donor funding (primarily loans) to decarbonise its economy. The processes and substance of this decarbonisation have been criticised by unions and by civil society. This article traces the stakeholder consultation process through which civil society encouraged marginal improvements while broadly legitimising the JETP, and it details the causes and implications of South African unions’ decreased engagement with the Just Transition. The article argues that the specifics of civil society’s engagement with multistakeholder consultations, and organised labour’s disengagement, work towards legitimising a donor- and market-led transition. In partially explaining why a powerful civil society and the labour movement have not demanded more radical change, the article highlights tensions between the ‘professional class’ that dominates responses to climate change and a workers’ movement where political power is deeply tied to identarian mobilisation
Role of Outdoor Air Pollution and Effects of Greenspace Exposure on Asthma among Children and Adolescents
No full textSubmitted in total fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Psychology and Public Health, La Trobe University, Victoria, Australia.</p
Outcomes of Best-Practice Guided Digital Mental Health Interventions for Youth and Young Adults with Emerging Symptoms: Part II. A Systematic Review of User Experience Outcomes
No full textAlthough many young people demonstrate resilience and strength, research and clinical evidence highlight an upward trend in mental health concerns among those aged 12 to 25 years. Youth-specific digital mental health interventions (DMHIs) aim to address this trend by providing timely access to mental health support for young people (12–25 years). However, there is a considerable gap in understanding young people user experiences with digital interventions. This review, co-designed with Australia’s leading mental health organization Beyond Blue, utilizes a systematic methodology to synthesize evidence on user experience in youth-oriented digital mental health interventions that are fully or partially guided. Five relevant online databases were searched for articles published from 2018 to 2023, yielding 22,482 articles for screening and 22 studies were included in the present analysis. User experience outcomes relating to satisfaction and engagement were assessed for each included intervention, with experience indicators relating to usefulness, usability, value, credibility, and desirability being examined. Elements associated with positive/negative outcomes were extracted. Elements shown to positively influence user experience included peer engagement, modern app-based delivery, asynchronous support, and personalized content. In contrast, users disliked static content, homework/log-keeping, the requirement for multiple devices, and social media integration. Asynchronous interventions showed high satisfaction but faced engagement issues, with combined asynchronous/synchronous interventions reporting better completion rates. DMHIs offer a promising platform for youth mental health support and has the potential to dramatically increase the reach of interventions through the adoption of technological and user experience best practices. While young people respond positively to many aspects of intervention modernization, such as interactive, app-based design, other concepts, such as social media integration, they need to be adopted by the field more cautiously to ensure trust and engagement. </p
Gender-sensitive community weight-loss programmes to address overweight and obesity in men: A scoping review
No full textObjectives: To examine how gender-sensitive community weight-loss programmes have been used to address overweight and obesity in men and to identify what can be learnt from this rapidly evolving field. Design: Scoping review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review checklist for reporting. Data sources A database search was conducted using EBSCOhost (Academic Search Complete, CINAHL Complete, Global Health, Health Source: Consumer Edition, Health Source: Nursing/Academic Edition and Medline Complete), Google, Google Scholar, Open Access Theses and Dissertations platform and Scopus. Eligibility criteria: All weight-loss programmes using a gender-sensitive approach to address men's overweight and obesity in community settings. Data extraction and synthesis: Narrative synthesis was conducted based on the research questions and objectives. Primary outcomes include operationalisation, context and concept of the gender-sensitive approach. Information was reviewed and extracted to Microsoft Excel by two reviewers. Results: A total of 40 studies (28 quantitative, eight mixed methods and four qualitative) were identified from 4617 records. Gender-sensitive approaches were undertaken in a range of settings and contexts including professional sports clubs (n=21), non-professional sporting clubs (n=16), workplace-based (n=2) and commercial organisation-based (n=1). The most common analysis approaches were evaluating the effect of the programmes (n=31) where positive impact was predominantly shown (eg, up to 3.9 kg weight reduction at 3-month follow-up). Programmes (ie, Football Fans in Training) were short-term cost-effective (eg, the cost was £862-£2228 per 5% weight reduction at 12-month follow-up). Qualitative evidence highlights factors that influenced men's participation (eg, camaraderie) and identifies areas for improvement. Conclusion: The findings demonstrate that gender-sensitive programmes for men's weight loss have been effectively applied using a range of different approaches and in a range of different contexts. Further evidence is needed to confirm the effectiveness of the programmes across diverse groups of men.</p
Extant and extinct bilby genomes combined with Indigenous knowledge improve conservation of a unique Australian marsupial
No full textNinu (greater bilby, Macrotis lagotis) are desert-dwelling, culturally and ecologically important marsupials. In collaboration with Indigenous rangers and conservation managers, we generated the Ninu chromosome-level genome assembly (3.66 Gbp) and genome sequences for the extinct Yallara (lesser bilby, Macrotis leucura). We developed and tested a scat single-nucleotide polymorphism panel to inform current and future conservation actions, undertake ecological assessments and improve our understanding of Ninu genetic diversity in managed and wild populations. We also assessed the beneficial impact of translocations in the metapopulation (N = 363 Ninu). Resequenced genomes (temperate Ninu, 6; semi-arid Ninu, 6; and Yallara, 4) revealed two major population crashes during global cooling events for both species and differences in Ninu genes involved in anatomical and metabolic pathways. Despite their 45-year captive history, Ninu have fewer long runs of homozygosity than other larger mammals, which may be attributable to their boom–bust life history. Here we investigated the unique Ninu biology using 12 tissue transcriptomes revealing expression of all 115 conserved eutherian chorioallantoic placentation genes in the uterus, an XY1Y2 sex chromosome system and olfactory receptor gene expansions. Together, we demonstrate the holistic value of genomics in improving key conservation actions, understanding unique biological traits and developing tools for Indigenous rangers to monitor remote wild populations