26013 research outputs found
Sort by
Link Prediction in Complex Hyper-Networks Leveraging HyperCentrality.
Get PDFIn complex networks, predicting the formation of new connections, or links, within complex networks has been a central challenge, traditionally addressed using graph-based models. These models, however, are limited in their ability to capture higher-order interactions that exist in many real-world networks, such as social, biological, and technological systems. To account for these multi-node interactions, hyper-networks have emerged as a more flexible framework, where hyperedges can connect multiple nodes simultaneously. Traditional link prediction methods often treat all common neighbors equally, overlooking the fact that not all nodes contribute uniformly to the formation of future links. Each node within a network holds a distinct level of importance, which can influence the likelihood of link formation among its neighbors. To address this, we introduce a link prediction approach leveraging hypercentrality measures adapted from traditional centrality metrics such as degree, clustering coefficient, betweenness, and closeness to capture node significance and improve link prediction in hyper-networks. We propose the Link Prediction Based on HyperCentrality in hyper-networks (LPHC) model, which enhances traditional common neighbor and jaccard coefficient of hyper-network frameworks by incorporating centrality scores to account for node importance. Our approach is evaluated across multiple real-world hyper-networks datasets, demonstrating its superiority over traditional link prediction methods. The results show that link prediction in hypercentrality-based models, particularly those utilizing hyperdegree and hyperclustering coefficients for common neighbor and jaccard coefficent approaches in hyper-networks, consistently outperform existing methods in terms of both F1-score and Area Under the Precision-Recall Curve (AUPR), offering a more precise understanding of potential link formations in hyper-networks. The proposed LPHC model consistently outperforms the existing HCN and HJC models across all datasets, achieving an overall improvement of 69% compared to HCN and 68% compared to HJC
124 A mixed methods cross sectional service evaluation of physiotherapist and kmotivational Interviewing (MI) perspectives in musculoskeletal (MSK) service delivery [abstract only]
No full text417 The role of AHP support workers as co-educators within student education: a service improvement project [abstract only]
Get PDFExploring Differences in Stroke Treatment Between Urban and Rural Hospitals: A Thematic Analysis of Practices in Canada.
Get PDFBackgroundTreatment of acute ischemic stroke is highly time dependent, which relies heavily on each hospital's ability and capacity. Designated stroke centers have been established across Canada, but there is still a divide between urban and rural hospitals. This study aims to understand the similarities and differences in their stroke treatment process workflow, incorporation of best practices and data collection.MethodsInterviews were conducted with clinicians in stroke centers across Canada to identify similarities and differences between provinces and hospital treatment capability. Semi-structured interviews were completed from September 15 to November 3, 2023, with clinicians and stroke coordinators using snowball and purposive sampling techniques. The interviews were analyzed using thematic analysis.ResultsFourteen participants were interviewed with representatives from four primary stroke centers and three comprehensive stroke centers across five provinces. Five primary themes were identified: 1) management of resources, 2) standardization of tasks, 3) data collection, 4) tool integration into workflow and 5) teamwork and experience. Participants in primary centers described limited resources to follow the patient through the entire treatment process, reliance on pre-notification times to prospectively search necessary patient information, using software to aid in calculating National Institute of Health Stroke Scale and being more cautious toward treating thrombolytics. Both center types discussed challenges with complete and accurate data collection.ConclusionsThe overall stroke treatment process and information required across primary and comprehensive centers are similar. However, differences occur in the process due to limitations in resources, pre-arrival notification time, completeness and accuracy of data collected and comfort in treating with thrombolytics
Reliability of running gait variability measures calculated from inertial measurement units
Get PDFChanges to the variability within biomechanical signals may reflect a change in the health of the human system. However, for running gait variability measures calculated from wearable device data, it is unknown whether a between-day difference reflects a shift in system dynamics reflective of a change in human health or is a result of poor between-day reliability of the measurement device or the biomechanical signal. This study investigated the reliability of stride time and sacral acceleration variability measures calculated from inertial measurement units (IMUs). Nineteen runners completed six treadmill running trials on two occasions seven days apart. Stride time and sacral acceleration signals were obtained using IMUs. Stride time variability and complexity were calculated using the coefficient of variation (CV) and detrended fluctuation analysis (DFA), respectively. Sacral acceleration regularity was quantified using sample entropy with a range of input parameters m (vector length) and r (similarity threshold). Between-day reliability was assessed using the intraclass correlation coefficient (ICC), standard error of measurement (SEM) and minimum detectable change. Stride time CV displayed moderate relative reliability (ICC = 0.672), but with a large absolute minimum detectable change = 0.525 %, whilst stride time DFA-α displayed poor relative reliability (ICC = 0.457) and yielded large minimum detectable changes (≥ 0.208). Sample entropy displayed good relative reliability in mediolateral and resultant sacral acceleration signals for certain combinations of the parameters m and r, although again with large minimum detectable changes. Researchers should be cognisant of these reliability metrics when interpreting changes in running gait variability measures in clinical contexts
Fostering Entrepreneurship and Innovation in Nigerian Universities
No full textThis chapter explores the essential characteristics and features of a university fostering entrepreneurship and innovation within the context of weak infrastructural support and the lack of policy mechanisms. It presents an analysis of institutional ambitions, change measurement, ongoing initiatives, and their sustainability. Our study employed semi-structured interviews and focus group discussions of relevant stakeholders (staff and students) from four major Nigerian universities. Findings were categorised into two main dimensions. First, certain essential elements such as the strength of networks, entrepreneurial culture, and modelling good practices were identified as independent of management, constituting the bedrock of successful university entrepreneurial ecosystems. These elements, fundamental for fostering innovation, are intrinsic components of vibrant entrepreneurial environments within academic institutions. Secondly, the study illuminates features influenced by management, stakeholder engagement, and personalized relationships. These elements, encompassing aspects like infrastructure, funding, quality control management, and state-level policies, act as catalysts for development but are not obligatory. They function as path-dependent variables, leading to varying outputs. Despite their variability, these management-driven factors are indispensable for the evolution and scaling of university entrepreneurial ecosystems, forming the backbone of innovation within higher education institutions in Nigeria
Multimodality, Transmediality, and Ethics in Post-Postmodernist Fictions of the Digital
No full textThis article proposes and examines the new generic category of post-postmodernist fictions of the digital (PPFDs): contemporary print fictions that imitate, incorporate, and/or utilize digital media, and also display thematic concerns for the digitally mediated worlds in which they are set. We situate them within a broader post-postmodern context of contemporary fiction in which self-reflexive devices, associated with postmodernism, are repurposed to make an ethical point about the digitally mediated world outside of the text. We offer a new typology of multimodal and transmedial PPFDs by adapting and schematizing the concepts of visual modality, paratext, and remediation to theorize 6 subtypes; a new methodology for analyzing PPFDs using a medium-specific approach and hypothetical intentionalism; and new analyses of two works which exemplify the ways in which multimodality and transmediality can be used synthetically and thematically in PPFDs. We conclude that while PPFDs use self-reflexive and potentially estranging techniques, they make serious ethical points about the digitally mediated world they represent such that they urge their readers to oscillate between (joyful) immersion and (critical) reflection