19683 research outputs found
Sort by
What is the economic and social return on investment for telephone cancer information and support services in Australia? An evaluative social return on investment study protocol
No full textIntroduction: Over 50% of people affected by cancer report unmet support needs. To address unmet information and psychological needs, non-government organisations such as Cancer Councils (Australia) have developed state-based telephone cancer information and support services. Due to competing demands, evidence of the value of these services is needed to ensure that future investment makes the best use of scarce resources. This research aims to determine the costs and broader economic and social value of a telephone support service, to inform future funding and service provision. Methods and analysis: A codesigned, evaluative social return on investment analysis (SROI) will be conducted to estimate and compare the costs and monetised benefits of Cancer Council Victoria's (CCV) telephone support line, 13 11 20, over 1-year and 3-year benefit periods. Nine studies will empirically estimate the parameters to inform the SROI and calculate the ratio (economic and social value to value invested): step 1 mapping outcomes (in-depth analysis of CCV's 13 11 20 recorded call data; focus groups and interviews); step 2 providing evidence of outcomes (comparative survey of people affected by cancer who do and do not call CCV's 13 11 20; general public survey); step 3 valuing the outcomes (financial proxies, value games); step 4 establishing the impact (Delphi); step 5 calculating the net benefit and step 6 service improvement (discrete choice experiment (DCE), € what if' analysis). Qualitative (focus groups, interviews) and quantitative studies (natural language processing, cross-sectional studies, Delphi) and economic techniques (willingness-to-pay, financial proxies, value games, DCE) will be applied. Ethics and dissemination: Ethics approval for each of the studies will be sought independently as the project progresses. So far, ethics approval has been granted for the first two studies. As each study analysis is completed, results will be disseminated through presentation, conferences, publications and reports to the partner organisations.</p
Boundary-crossing ICT use – A scoping review of the current literature and a road map for future research
No full textResearch on the use of digital devices to conduct tasks across work and non-work domains (i.e., boundary-crossing ICT use) grows rapidly. To gain an overview of this expanding field, we conducted a systematic search in 14 databases (e.g., WoS, PsycINFO) for studies examining the outcomes of performing 1) work-related tasks during non-work time and 2) non-work tasks during work time. After screening 17,388 abstracts, 398 were read in full text, and 159 publications were included. Most studies used cross-sectional interviews or self-report survey data of employees in high-income countries. The work-family interface, individual work and health outcomes were commonly studied, while family and organizational outcomes received little attention. Moreover, research with a multilevel perspective and studies examining objective outcomes (e.g., divorce, sick leave) were scarce and the performance of non-work tasks during work time was often ignored. Despite the burgeoning literature, there is an urgent need to arrive at a common conceptualization and operationalization of boundary-crossing ICT use to be able to compare findings across studies and disciplines. We suggest a new definition and future agenda to contribute to a deeper understanding of the field
Comparison of Future Design Rainfall with Current Design Rainfall: A Case Study in New South Wales, Australia
No full textClimate change impacts have the potential to alter the design rainfall estimates around the world. Decreasing trends in the summer and winter rainfall in New South Wales (NSW), Australia have already been observed due to climate variability and change. The derivation of design rainfall from historical rainfall, which is required for the design of stormwater management infrastructure, may be ineffective and costly. It is essential to consider climate change impacts in estimating design rainfall for the successful design of stormwater management infrastructure. In this study, the probability of the occurrence of daily extreme rainfall has been assessed under climate change conditions. The assessment was performed using data from 29 meteorological stations in NSW, Australia. For the evaluation of future design rainfall, the probability of the occurrence of extreme rainfall for different recurrence intervals was developed from daily extreme rainfall for the periods of 2020 to 2099 and compared with the current Australian Bureau of Meteorology (BoM) design rainfall estimates. The historical mean extreme rainfall across NSW varied from 37.71 mm to 147.3 mm, indicating the topographic and climatic influences on extreme rainfall. The outcomes of the study suggested that the future design rainfall will be significantly different from the current BoM estimates for most of the studied stations. The comparison of the results showed that future rainfall in NSW will change from −4.7% to +60% for a 100-year recurrence interval. However, for a 2-year recurrence interval, the potential design rainfall change varies from an approximately 8% increase to a 40% decrease. This study revealed that the currently designed stormwater management infrastructure will be idle in the changing climate
A Revisit to Sunk Cost Fallacy for Two-Stage Stochastic Binary Decision Making
No full textThis paper undertakes a revisit of the sunk cost fallacy, which refers to the tendency of people to persist investing resources into something, even if it is destined to have no good outcome. We emphasize that the utilities associated with different alternatives are not static for decision makers, which is exactly opposite to the traditional perspective. This paper argues that the utility of an option may change due to the choice of another option, suggesting that decisions considered irrational by the traditional analytical method, i.e., sunk cost fallacy, may be rational. We propose a novel analytical method for decision making with sunk cost when considering the utility change and validate the effectiveness of this method through mathematical modeling and computational experiments. This paper mathematically describes such decision-making problems, analyzing the impact of changes in the utilities across different alternatives on decision making with a real-world example. Furthermore, we develop a two-stage stochastic optimization model for such decision-making problems and employ the sample average approximation (SAA) method to solve them. The results from computational experiments indicate that some decisions traditionally considered irrational are, in fact, rational when the utility of an option changes as a result of choosing another option. This paper, therefore, highlights the significance of incorporating utility changes into the decision-making process and stands as a valuable addition to the literature, offering a refreshed and effective decision-making method for improved decision making
A heterogeneous graph-based semi-supervised learning framework for access control decision-making
No full textFor modern information systems, robust access control mechanisms are vital in safeguarding data integrity and ensuring the entire system’s security. This paper proposes a novel semi-supervised learning framework that leverages heterogeneous graph neural network-based embedding to encapsulate both the intricate relationships within the organizational structure and interactions between users and resources. Unlike existing methods focusing solely on individual user and resource attributes, our approach embeds organizational and operational interrelationships into the hidden layer node embeddings. These embeddings are learned from a self-supervised link prediction task based on a constructed access control heterogeneous graph via a heterogeneous graph neural network. Subsequently, the learned node embeddings, along with the original node features, serve as inputs for a supervised access control decision-making task, facilitating the construction of a machine-learning access control model. Experimental results on the open-sourced Amazon access control dataset demonstrate that our proposed framework outperforms models using original or manually extracted graph-based features from previous works. The prepossessed data and codes are available on GitHub,facilitating reproducibility and further research endeavors
Identification of the RSX interactome in a marsupial shows functional coherence with the Xist interactome during X inactivation
No full textThe marsupial specific RSX lncRNA is the functional analogue of the eutherian specific XIST, which coordinates X chromosome inactivation. We characterized the RSX interactome in a marsupial representative (the opossum Monodelphis domestica), identifying 135 proteins, of which 54 had orthologues in the XIST interactome. Both interactomes were enriched for biological pathways related to RNA processing, regulation of translation, and epigenetic transcriptional silencing. This represents a remarkable example showcasing the functional coherence of independently evolved lncRNAs in distantly related mammalian lineages
Consensus methods in patellofemoral pain: how rigorous are they? A scoping review
No full textOBJECTIVE: Clinicians treating patients with patellofemoral pain (PFP) rely on consensus statements to make the best practice recommendations in the absence of definitive evidence on how to manage PFP. However, the methods used to generate and assess agreement for these recommendations have not been examined. Our objective was to map the methods used to generate consensus-based recommendations for PFP and apply four novel questions to assess the rigour of consensus development. DESIGN: Scoping review. DATA SOURCES: We searched Medline, SPORTDiscus, CINAHL and Embase from inception to May 2022 to identify consensus-derived statements or practice guidelines on PFP. The Joanna Briggs Institute Manual for Evidence Synthesis was followed to map the existing evidence. We measured the consensus methods based on four sets of questions addressing the panel composition, application of the consensus method chosen, agreement process and the use of evidence mapping. ELIGIBILITY CRITERIA: All consensus statements or clinical guidelines on PFP were considered. RESULTS: Twenty-two PFP consensus statements were identified. Panel composition: 3 of the 22 (14%) consensus groups reported the panellists' experience, 2 (9%) defined a desired level of expertise, 10 (45%) reported panellist sex and only 2 (9%) included a patient. Consensus method: 7 of 22 (32%) reported using an established method of consensus measurement/development. Agreement process: 10 of 22 (45%) reported their consensus threshold and 2 (9%) acknowledged dissenting opinions among the panel. Evidence mapping: 6 of 22 (27%) reported using systematic methods to identify relevant evidence gaps. CONCLUSIONS: PFP consensus panels have lacked diversity and excluded key partners including patients. Consensus statements on PFP frequently fail to use recognised consensus methods, rarely describe how 'agreement' was defined or measured and often neglect to use systematic methods to identify evidence gaps.</p
Changes needed to reduce risk of musculoskeletal disorders
No full textMusculoskeletal disorders (MSDs) are the main contributor to disability levels, which are rising as populations age. Workplace hazard exposures are a major source of this problem, and current workplace risk management practices require substantial changes to tackle it more effectively. Most importantly, the current focus of risk management on “manual handling” tasks must broaden to encompass the whole job. This is necessary because a wide range of psychosocial hazards, most of which operate across the whole job rather than particular tasks, are significant contributors to risk. To ensure that risk-control actions are effective, a recurring risk management cycle that includes worker participation and addresses risk from both biomechanical and psychosocial hazards will be essential. Legislation that mandates workplace management of psychosocial hazards would be helpful. Amendment by regulatory bodies of MSD-related guidance and codes of practice so that they reflect current research evidence would also be helpful in communicating the need for change to workplace stakeholders.</p
A Fourier Series-Based Steady-State Thermal Resistance Model for Power Module
No full textThe finite-element method (FEM) is conventionally employed to evaluate the thermal performance of power modules (TPPM), but it demands substantial computational resources and time. This study introduces a novel approach for TPPM assessment through a Fourier series-based steady-state thermal resistance model (FSS-TRM), which offers enhanced computational efficiency and accuracy. The FSS-TRM integrates conduction and spreading resistance via a mathematical-physical method, explicitly focusing on redefining conduction resistance to optimize computational efficiency. The accuracy of the FSS-TRM is ensured by solving the heat conduction differential equation to obtain spreading resistance. To assess the reliability of the FSS-TRM, the model is tested across varying direct bonded copper (DBC) configurations and chip sizes. Experimental results reveal that the maximum error of the FSS-TRM compared with the conventional COMSOL approach is below 4%. In addition, the FSS-TRM's capability to predict TPPM is verified through testing a representative power module in a 34-mm package, demonstrating an error of only 0.9% compared with both COMSOL and experimental results. Notably, the computational efficiency of the FSS-TRM is significantly improved, exceling COMSOL by five orders of magnitude. Therefore, the proposed FSS-TRM provides an accurate and efficient alternative to FEM for TPPM estimation
Embracing biodiversity: multispecies population genomics of leafless Bossiaea species shows novel taxa, population dynamics and conservation strategies
No full textLeafless Bossiaea species are a unique group of plants endemic to Australia that present intriguing challenges in taxonomy and conservation because of their morphological simplicity and often small, disjunct populations. We employed whole genome reduced representation sequencing (DArTseq) to enhance our understanding of the population dynamics, diversity and taxonomy of leafless Bossiaea species. Our dataset comprised 52,539 single-nucleotide polymorphisms across 283 samples from 7 leafless Bossiaea species, including 6 listed threatened species. We examined population structure, phylogenetic relationships, kinship and gene flow within and among populations. On the basis of our population-genomic analyses, we propose recognition of the novel taxon Bossiaea vombata subsp. orientalis and a change in status from species (B. milesiae) to subspecies for B. fragrans subsp. milesiae. Additionally, we show extensive clonal reproduction across species and limited gene flow at distances of >1 km, shedding light on the challenges faced by these species. We advocate a coordinated approach to conservation, focusing on restoring self-sustaining populations and leveraging genetic rescue strategies. By addressing the population dynamics of multiple species simultaneously in taxonomically challenging lineages, we can make informed choices to safeguard biodiversity and evolutionary potential