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Investigating the effect strength of positive risk-taking barriers on discharge decisions in occupational therapy intermediate care: A factorial survey
Get PDFIntroduction:
Positive risk-taking in occupational therapy intermediate care is a requirement, yet little is known about how positive risk-taking barriers influence discharge decisions at different experience levels.
Method:
A factorial survey was used to investigate positive risk-taking barriers (Limited Capacity, Risk Averse Family, Blame Culture and No Support). Participants self-categorised their experience level into Novice or Semi-expert or Expert before analysing four vignettes relating to recommending a home discharge for an older adult. Data were analysed using Multiple Regression and One-Way Analysis of Variance.
Results:
Seventy-four participants responded to two hundred eighty-one vignettes. The barriers that reduced the likelihood to recommend a home discharge for an older adult were ‘No Support’, Novices (β = −0.315, p = 0.002), Semi-experts (β = −0.313, p = 0.001) Experts (β = −0.254, p = 0.009); ‘Limited Capacity’, Novices (β = −0.305, p < 0.003), Semi-experts (β = −0.254, p = 0.006) Experts (β = −0.376, p = 0.001) and ‘Blame Culture’ Semi-experts (β = −0.240, p = 0.010). Novices were found to be less likely to recommend a home discharge by comparison.
Conclusion:
The ‘Limited Capacity’, ‘No Support’ and ‘Blame Culture’ barriers had the strongest effect and Novices were less likely to recommend a home discharge overall. These findings could inform future research and pre-registration Occupational Therapy education
Predicting depressive symptoms in middle-aged and elderly adults using sleep data and clinical health markers: a machine learning approach
Get PDFObjectives: Comorbid depression is a highly prevalent and debilitating condition in middle-aged and elderly adults, particularly when associated with obesity, diabetes, and sleep disturbances. In this context, there is a growing need to develop efficient screening methods for cases based on clinical health markers for these comorbidities and sleep data. Thus, our objective was to detect depressive symptoms in these subjects, considering general biomarkers of obesity and diabetes and variables related to sleep and physical exercise through a machine learning approach. Methods: National Health and Nutrition Examination Survey (NHANES) 2015-2016 data were used and eighteen variables on self-reported physical activity, self-reported sleep habits, sleep disturbance indicative, anthropometric measurements, sociodemographic characteristics and plasma biomarkers of obesity and diabetes were selected as predictors. A total of 2,907 middle-aged and elderly subjects were eligible for the
study. Supervised learning algorithms such as Lasso penalized Logistic Regression (LR), Random forest (RF) and Extreme Gradient Boosting (XGBoost) were implemented. Results: XGBoost provided greater accuracy and precision (87%), with a proportion of hits in cases with depressive symptoms above 80%. In addition, daytime sleepiness was the most significant predictor variable for predicting depressive symptoms. Conclusions: Sleep and physical activity variables, in addition to obesity and diabetes biomarkers, together assume significant importance to predict, with accuracy and precision of 87%, the occurrence of depressive symptoms in middle- aged and elderly individuals
Post-bleaching alterations in coral reef communities
Get PDFWe explored the extent of post-bleaching impacts, caused by the 2014–2016 El Niño Southern Oscillation (ENSO) event, on benthic community structure (BCS) and herbivores (fish and sea urchins) on seven fringing reefs, with differing protection levels, in Zanzibar, Tanzania. Results showed post-bleaching alterations in BCS, with up to 68 % coral mortality and up to 48 % increase in turf algae cover in all reef sites. Herbivorous fish biomass increased after bleaching and was correlated with turf algae increase in some reefs, while the opposite was found for sea urchin densities, with significant declines and complete absence. The severity of the impact varied across individual reefs, with larger impact on the protected reefs, compared to the unprotected reefs. Our study provides a highly relevant reference point to guide future research and contributes to our understanding of post-bleaching impacts, trends, and evaluation of coral reef health and resilience in the region
Hybrid photocathode based on a Ni molecular catalyst and Sb2Se3 for solar H2 production
Get PDFWe report a H2 evolving hybrid photocathode based on Sb2Se3 and a precious metal free molecular catalyst. Through the use of a high surface area TiO2 scaffold, we successfully increased the Ni molecular catalyst loading from 7.08 ± 0.43 to 45.76 ± 0.81 nmol cm−2, achieving photocurrents of 1.3 mA cm−2 at 0 V vs. RHE, which is 81-fold higher than the device without the TiO2 mesoporous layer
Making Meanings Out of Me: Reading Researcher’s and Participants’ Bodies through Poetry
Get PDFThis article offers autoethnographic reflections on the experience of qualitative research that account for the embodied subjectivity of interviewing as a research practice and the embodied practice of research outside of a traditional ‘field’. The article reflects on the ways in which the author was underprepared for the shifting power relations and shared vulnerabilities within research interactions to be experienced in an embodied way. This article then reflects on the process of experiencing research in the body during the writing-up process. The article draws on data collection experiences and fieldwork notes from a research project on trans and intersex activist relationships undertaken by a trans researcher with a history of LGBTI+ and trans activism. Furthermore, this research project was undertaken by a disabled scholar who had to negotiate a complex web of access needs and decisions over in/visibilising disabilities in order to complete the research. This early career scholar experienced a lack of research methods teaching and training on the complexities of in-community/insider research for those who may be members of communities made vulnerable by society and a lack of training on the expectations of embodied fieldwork practice. This article does not offer teaching or support suggestions to fill this gap although those are illustrated in detail by Pearce’s (2020) ‘methodology for the marginalised’. Instead, the article invites early career scholars, and those teaching research methods, to imagine research and imagine fieldwork with embodied researchers in mind. The article uses poetry to take readers on a journey of the embodied research of one trans and disabled scholar in the hopes it may speak to other scholars with a range of diverse identities and experiences who may be made vulnerable by society and those who have the privilege of teaching them. The article uses poetry as a means to express these embodied reflections drawing on Richardson’s (1999, 2002) creative analytic practice of ethnographic poetry and Anderson’s (2001) embodied writing. The poetic reflections are offered as an interruption to the body of the text with an embodied poetry to touch the reader in a different way. Although these poems deliberately interrupt the body of the text, they can be read in their locations as reflections on their closest sections or a collection of poetic reflections after reading the article
Enhancing Free-Living Fall Risk Assessment: Contextualizing Mobility Based IMU Data
Get PDFFall risk assessment needs contemporary approaches based on habitual data. Currently, inertial measurement unit (IMU)-based wearables are used to inform free-living spatio-temporal gait characteristics to inform mobility assessment. Typically, a fluctuation of those characteristics will infer an increased fall risk. However, current approaches with IMUs alone remain limited, as there are no contextual data to comprehensively determine if underlying mechanistic (intrinsic) or environmental (extrinsic) factors impact mobility and, therefore, fall risk. Here, a case study is used to explore and discuss how contemporary video-based wearables could be used to supplement arising mobility-based IMU gait data to better inform habitual fall risk assessment. A single stroke survivor was recruited, and he conducted a series of mobility tasks in a lab and beyond while wearing video-based glasses and a single IMU. The latter generated topical gait characteristics that were discussed according to current research practices. Although current IMU-based approaches are beginning to provide habitual data, they remain limited. Given the plethora of extrinsic factors that may influence mobility-based gait, there is a need to corroborate IMUs with video data to comprehensively inform fall risk assessment. Use of artificial intelligence (AI)-based computer vision approaches could drastically aid the processing of video data in a timely and ethical manner. Many off-the-shelf AI tools exist to aid this current need and provide a means to automate contextual analysis to better inform mobility from IMU gait data for an individualized and contemporary approach to habitual fall risk assessment
Topology Design for Data Center Networks Using Deep Reinforcement Learning
Get PDFThis paper is concerned with the topology design of data center networks (DCNs) for low latency and fewer links using deep reinforcement learning (DRL). Starting from a Kvertex-connected graph, we propose an interactive framework with single-objective and multi-objective DRL agents to learn DCN topologies for given node traffic matrices by choosing link matrices to represent the states and actions as well as using the average shortest path length together with action penalty terms as reward feedback. Comparisons with commonly used DCN topologies are given to show the effectiveness and merits of our method. The results reveal that our learned topologies could achieve lower delay compared with common DCN topologies. Moreover, we believe that the method can be extended to other topology metrics, e.g., throughput, by simply modifying the reward functions
Limited impact of Thwaites Ice Shelf on future ice loss from Antarctica
Get PDFThwaites Ice Shelf (TWIS), the floating extension of Thwaites Glacier, West Antarctica, is changing rapidly and may completely disintegrate in the near future. Any buttressing that the ice shelf provides to the upstream grounded Thwaites glacier will then be lost. Previously, it has been argued that this could lead to onset of dynamical instability and the rapid demise of the entire glacier. Here we provide the first systematic quantitative assessment of how strongly the upstream ice is buttressed by TWIS and how its collapse affects future projections. By modeling the stresses acting along the current grounding line, we show that they deviate insignificantly from the stresses after ice shelf collapse. Using three ice-flow models, we furthermore model the transient evolution of Thwaites Glacier and find that a complete disintegration of the ice shelf will not substantially impact future mass loss over the next 50 years
The impact of social media marketing and brand credibility on Higher Education Institutes’ brand equity in emerging countries
Get PDFSocial media marketing facilitated prospective students to communicate and collaborate to gather information relevant to higher education institutions and their respective brand equity. More complex and dynamic models focusing on customer-based brand equity often lack empirical support in higher education sectors, particularly from more than one country. Drawing from the elaboration likelihood model, this study empirically investigated how higher education institutions can develop brand equity using social media marketing. The quantitative findings from 936 undergraduates from Sri Lanka and Vietnam indicated social media marketing influences the brand equity of higher education institutions through brand credibility. Taking into the comparison between two emerging countries, Vietnamese students are more concerned about brand credibility through social media marketing activities to form brand equity compared to their Sri Lankan counterparts. The findings provide some practical implications for educational marketers to promote their higher education institutions