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The quality of family relationships in dementia: Mixed methods to unravel mixed feelings
Get PDFObjective: Close relationships influence health and quality of life outcomes for people with dementia and their families. Yet, we know little on the role of different relationship domains with quantitative methods having proved to have limitations in this research field. We aimed to study these relationship domains over time, contrasting the views of people with dementia and their family carers, making use of both quantitative and qualitative approaches.Methods: A convergent mixed methods design was adopted, analysing longitudinal data (four time points over three years) from 66 dyads of Portuguese community-dwelling people with dementia and their primary carers, from the EU-Actifcare project sample. Quantitative assessments used sociodemographic and clinical variables, and Positive Affect Index scores, with descriptive and inferential analyses. Qualitative data, collected through individual and joint semi-structured interviews, were explored using thematic analysis.Results: Both quantitative and qualitative findings demonstrated that some domains of relationship quality are affected in different ways, with changes occurring at different stages. Some (e.g., ‘communication’) may even improve after initial decline. ‘Closeness’ was consistently altered over time, from carers’ perspectives, and played an important protective role regarding institutionalisation. Overall, changes in the relationship quality were perceived differently by people with dementia and their carers, and these divergent perspectives often led to tension. Qualitative data revealed that ‘mixed feelings’ (ambivalence) involve complex experiences, arguably more difficult to manage than negative feelings alone. Furthermore, perceived informal support, particularly from the extended family, and receiving formal services’ assistance, seemed to facilitate positive (re)appraisals of the relationship.Conclusions: A deeper understanding of relationship quality and its domains as dementia progresses may help tailoring interventions to tackle modifiable aspects of relationships, meeting the needs and cherishing the resources of dyads and families. Timely assessments could identify relationships at risk and need for support, including for alternative caring arrangements
Time Delay Signature Extraction of Optical-Feedback-Induced Chaos With Reservoir Computing
Get PDFThe time delay signature is a crucial secure key for chaos communication using optical feedback semiconductor lasers. Herein, we propose a single node-based photonic reservoir computing method for extracting the time delay signature of optical-feedback-induced chaos. Through drawing the phase diagram of the chaotic time series and its delayed copies, we transform the time delay signature into the shape feature of the obtained two-dimensional image. After training the optimized photonic reservoir with these two-dimensional images, we numerically demonstrate that our method can achieve an overall extraction accuracy rate of 97.3% for different optical feedback semiconductor lasers. Considering its good performance and simple configuration, we believe that this single node-based photonic reservoir computing offers a hardware-friendly solution for time delay signature extraction
Pitching business school researcher profiles
Get PDFPurpose The authors passively apply a researcher profile pitch (RPP) template tool in accounting and across a range of Business School disciplines. Design/methodology/approach The authors document a diversity of worked examples of the RPP. Using an auto-ethnographic research design, each showcased researcher reflects on the exercise, highlighting nuanced perspectives drawn from their experience. Collectively, these examples and associated independent narratives allow the authors to identify common themes that provide informative insights to potential users. Findings First, the RPP tool is helpful for accounting scholars to portray their essential research stream. Moreover, the tool proved universally meaningful and applicable irrespective of research discipline or research experience. Second, it offers a distinct advantage over existing popular research profile platforms, because it demands a focused “less”, that delivers a meaningful “more”. Further, the conciseness of the RPP design makes it readily amenable to iteration and dynamism. Third, the authors have identified specific situations of added value, e.g. initiating research collaborations and academic job market preparation. Practical implications The RPP tool can provide the basis for developing a scalable interactive researcher exchange platform. Originality/value The authors argue that the RPP tool potentially adds meaningful incremental value relative to existing popular platforms for gaining researcher visibility. This additional value derives from the systematic RPP format, combined with the benefit of easy familiarity and strong emphasis on succinctness. Additionally, the authors argue that the RPP adds a depth of nuanced novel information often not contained in other platforms, e.g. around the dimensions of “data” and “tools”. Further, the RPP gives the researcher a “personality”, most notably through the dimensions of “contribution” and “other considerations”
The Impact of Housing Tenure on Financial Wellbeing Among Elderly Australians
Get PDFHomeownership rates are declining in many countries and the potential impact on financial wellbeing is largely unknown. Additionally, the potential impact may be expected to be larger for women than men, as women tend to value homeownership more than men. Finally, financial literacy may play a role on financial wellbeing via a positive effect onto housing tenure (i.e., renter, mortgagor, outright homeowner). On the basis of a community sample of older Australians (N = 2608), we tested a model with housing tenure as a predictor of financial wellbeing, controlling for the effects of wealth, income, age, and marital status. Housing tenure yielded a significant, positive, unique effect onto financial wellbeing. We failed to find evidence that the effect of housing tenure on financial wellbeing was larger for women than men. Finally, financial literacy was associated positively with financial wellbeing; and, the effect was entirely mediated positively by housing tenure, wealth and income. We conclude that outright homeownership may accord approximately 10% greater financial wellbeing than renting (and ≈ 6% greater than mortgaged) in Australian seniors. Furthermore, higher levels of financial literacy may play a unique role in facilitating better housing tenure
Students’ sense of belonging and their socio-economic status in higher education: a quantitative approach
Get PDFThis study aims to explore the main aspects of sense of belonging, including academic and social engagement, life satisfaction, thoughts of leaving university, demographic characteristics and socio-economic status by applying quantitative measurement. Having considered the concepts of disadvantaged or non-traditional groups deployed in previous studies, a survey questionnaire was designed to investigate how certain factors are related to students’ belonging. Statistical analysis of data from 380 participants reveals that students’ sense of belonging and retention are crucially influenced by both academic engagement and social engagement, but independently. This study also addresses a lack of research about how the critical factors for disadvantage operate to determine belonging and retention in higher education. The findings should prompt a re-evaluation what we consider to be the sources of ‘disadvantage’, such as social class, age and ethnicity
Empirical validation of ELM trained neural networks for financial modelling
Get PDFThe purpose of this work is to compare predictive performance of neural networks trained using the relatively novel technique of training single hidden layer feedforward neural networks (SFNN), called Extreme Learning Machine (ELM), with commonly used backpropagation-trained recurrent neural networks (RNN) as applied to the task of financial market prediction. Evaluated on a set of large capitalisation stocks on the Australian market, specifically the components of the ASX20, ELM-trained SFNNs showed superior performance over RNNs for individual stock price prediction. While this conclusion of efficacy holds generally, long short-term memory (LSTM) RNNs were found to outperform for a small subset of stocks. Subsequent analysis identified several areas of performance deviations which we highlight as potentially fruitful areas for further research and performance improvement
Attentional Bias towards Social Interactions during Viewing of Naturalistic Scenes
Get PDFHuman visual attention is readily captured by the social information in scenes. Multiple studies have shown that social areas of interest (AOIs) such as faces and bodies attract more attention than non-social AOIs (e.g., objects or background). However, whether this attentional bias is moderated by the presence (or absence) of a social interaction remains unclear. Here, the gaze of 70 young adults was tracked during the free viewing of 60 naturalistic scenes. All photographs depicted two people, who were either interacting or not. Analyses of dwell time revealed that more attention was spent on human than background AOIs in the interactive pictures. In non-interactive pictures, however, dwell time did not differ between AOI type. In the time-to-first-fixation analysis, humans always captured attention before other elements of the scene, although this difference was slightly larger in interactive than non-interactive scenes. These findings confirm the existence of a bias towards social information in attentional capture and suggest our attention values social interactions beyond the presence of two people
Establishing Self-Harm Registers: The Role of Process-Mapping to Improve Quality of Surveillance Data Globally
Get PDFSelf-harm registers (SHRs) are an essential means of monitoring rates of self-harm and evaluating preventative interventions, but few SHRs exist in countries with the highest burden of suicides and self-harm. Current international guidance on establishing SHRs recommends data collection from emergency departments, but this does not adequately consider differences in the provision of emergency care globally. We aim to demonstrate that process mapping can be used prior to the implementation of an SHR to understand differing hospital systems. This information can be used to determine the method by which patients meeting the SHR inclusion criteria can be most reliably identified, and how to mitigate hospital processes that may introduce selection bias into these data. We illustrate this by sharing in detail the experiences from a government hospital and non-profit hospital in south India. We followed a five-phase process mapping approach developed for healthcare settings during 2019-2020. Emergency care provided in the government hospital was accessed through casualty department triage. The non-profit hospital had an emergency department. Both hospitals had open access outpatient departments. SHR inclusion criteria overlapped with conditions requiring Indian medicolegal registration. Medicolegal registers are the most likely single point to record patients meeting the SHR inclusion criteria from multiple emergency care areas in India (e.g., emergency department/casualty, outpatients, other hospital areas), but should be cross-checked against registers of presentations to the emergency department/casualty to capture less-sick patients and misclassified cases. Process mapping is an easily reproducible method that can be used prior to the implementation of an SHR to understand differing hospital systems. This information is pivotal to choosing which hospital record systems should be used for identifying patients and to proactively reduce bias in SHR data. The method is equally applicable in low-, middle- and high-income countries.</p
The Metaverse: Surveillant Physics, Virtual Realist Governance, and the Missing Commons
Get PDFThis paper argues that there are value and design-based problems in current ambitions for the Metaverse. With the Metaverse deepening longstanding commercial surveillance practices, the paper focuses on data protection harms from biometric and emotion data, the gauging of first-person perspectives, and sensitivities around profiling of avatars. The paper advances two notions to address harms and data protection: surveillant physics and virtual realist governance. Surveillant physics refers to surveillance informing the laws of how that reality operates: this is a useful concept given the granular control that platforms have over virtual worlds and the laws by which they function. Virtual realist governance builds on the longstanding principle of virtual realism and David Chalmer’s recent theorising of Reality+ that demands that the virtual is taken to be real, meaning that experiences of virtual objects and what occurs in-world are treated as meaningful. The paper progresses to further consider governance questions, both around technical and ethical standards, but also data protection ideas such as personal data stores, and data trusts, that were not conceived as Metaverse-based ideas, but have greater chance of being realised as basic premises of the Metaverse are being designed. Although this paper is regretfully pessimistic, finding that a root problem of current ambitions for the Metaverse is that the public good and the commons are missing, it sees virtual realist scope for modes of resistance unseen in other digital realms