7 results on '"Elena Wu"'
Search Results
2. What emergency department wait times do community members want to see displayed?
- Author
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Anne Loupis, Katie Walker, Melanie Stephenson, Elena Wu, and Beatrice Yip
- Subjects
Waiting Lists ,business.industry ,Emergency Medicine ,Humans ,Medicine ,Medical emergency ,Emergency department ,Triage ,Emergency Service, Hospital ,business ,medicine.disease - Published
- 2020
3. Displaying emergency patient estimated wait times: A multi-centre, qualitative study of patient, community, paramedic and health administrator perspectives
- Author
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Jennie Hutton, Katie Walker, Paul Buntine, Keith Joe, Anne Loupis, James Ho, Melanie Stephenson, Michael Ben-Meir, Gabriel Blecher, Judy Lowthian, Elena Wu, Kim Hansen, Ella Martini, Beatrice Yip, and Michael Stephenson
- Subjects
business.industry ,Qualitative interviews ,030208 emergency & critical care medicine ,Destinations ,medicine.disease ,Focus group ,Triage ,Wait time ,Variety (cybernetics) ,03 medical and health sciences ,0302 clinical medicine ,Emergency Medicine ,Anxiety ,Medicine ,030212 general & internal medicine ,Medical emergency ,Basic needs ,medicine.symptom ,Multi centre ,Psychology ,business ,Qualitative research - Abstract
BackgroundEmergency Departments have the potential ability to predict patient wait times and to display this to patients and other stakeholders. Little is known about whether consumers and stakeholders would want this information and how wait time predictions might be used. The aim of this study was to gain perspectives from consumer, referrer and health services personnel regarding the concept of emergency wait time visibility.MethodsIn 2019, 103 semi-structured interviews and one focus group were conducted with emergency medicine patients/families, paramedics, well community members and hospital/paramedic administrators. Nine emergency departments and multiple organisations in Victoria, Australia, contributed data. Transcripts were coded and themes are presented.ResultsConsumers and paramedics face physical and psychological difficulties when wait times aren’t visible. Consumers believe about a 2-hour wait is tolerable, beyond this most begin to consider alternative strategies for seeking care. Consumers want to see triage to doctor times; paramedics want door to off-stretcher times (for all possible transport destinations); with 47/50 consumers and 30/31 paramedics potentially using this information. Twenty-eight of 50 consumers would use times to inform facility or provider choice, 19/50 want information once in the waiting room. During prolonged waits, 1/52 consumers would consider not seeking care. Visibility of approximate waits would better inform decision-making, improve load-spreading, allow planning and access to basic needs and might reduce anxiety.ConclusionsConsumers and paramedics want wait time information visibility. They would use the information in a variety of ways, both pre-hospital and whilst waiting for care.
- Published
- 2020
4. Benchmarking Measures of Network Controllability on Canonical Graph Models
- Author
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Evelyn Tang, Danielle S. Bassett, Richard F. Betzel, Elena Wu-Yan, Shi Gu, and Fabio Pasqualetti
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Physics - Physics and Society ,Theoretical computer science ,Dynamical systems theory ,Applied Mathematics ,General Engineering ,Nonparametric statistics ,FOS: Physical sciences ,Physics and Society (physics.soc-ph) ,Disordered Systems and Neural Networks (cond-mat.dis-nn) ,Dynamical Systems (math.DS) ,Condensed Matter - Disordered Systems and Neural Networks ,Preferential attachment ,Network topology ,01 natural sciences ,Network controllability ,010305 fluids & plasmas ,Weighting ,010101 applied mathematics ,Controllability ,Modeling and Simulation ,0103 physical sciences ,FOS: Mathematics ,Topological graph theory ,Mathematics - Dynamical Systems ,0101 mathematics - Abstract
The control of networked dynamical systems opens the possibility for new discoveries and therapies in systems biology and neuroscience. Recent theoretical advances provide candidate mechanisms by which a system can be driven from one pre-specified state to another, and computational approaches provide tools to test those mechanisms in real-world systems. Despite already having been applied to study network systems in biology and neuroscience, the practical performance of these tools and associated measures on simple networks with pre-specified structure has yet to be assessed. Here, we study the behavior of four control metrics (global, average, modal, and boundary controllability) on eight canonical graphs (including Erdős–Rényi, regular, small-world, random geometric, Barábasi–Albert preferential attachment, and several modular networks) with different edge weighting schemes (Gaussian, power-law, and two nonparametric distributions from brain networks, as examples of real-world systems). We observe that differences in global controllability across graph models are more salient when edge weight distributions are heavy-tailed as opposed to normal. In contrast, differences in average, modal, and boundary controllability across graph models (as well as across nodes in the graph) are more salient when edge weight distributions are less heavy-tailed. Across graph models and edge weighting schemes, average and modal controllability are negatively correlated with one another across nodes; yet, across graph instances, the relation between average and modal controllability can be positive, negative, or nonsignificant. Collectively, these findings demonstrate that controllability statistics (and their relations) differ across graphs with different topologies and that these differences can be muted or accentuated by differences in the edge weight distributions. More generally, our numerical studies motivate future analytical efforts to better understand the mathematical underpinnings of the relationship between graph topology and control, as well as efforts to design networks with specific control profiles.
- Published
- 2018
5. Novel insights into the isolation of extracellular vesicles by anion exchange chromatography
- Author
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Leon F. Koch, Tatjana Best, Elena Wüstenhagen, Klaus Adrian, Oliver Rammo, and Meike J. Saul
- Subjects
extracellular vesicles ,ion-exchange chromatography ,isolation ,Eshmuno® Q ,downstream processing ,scalability ,Biotechnology ,TP248.13-248.65 - Abstract
Extracellular vesicles (EVs) are membrane structures enclosed by a lipid bilayer that are released into the extracellular space by all types of cells. EVs are involved in many physiological processes by transporting biologically active substances. Interest in EVs for diagnostic biomarker research and therapeutic drug delivery applications has increased in recent years. The realization of the full therapeutic potential of EVs is currently hampered by the lack of a suitable technology for the isolation and purification of EVs for downstream pharmaceutical applications. Anion Exchange Chromatography (AEX) is an established method in which specific charges on the AEX matrix can exploit charges on the surface of EVs and their interactions to provide a productive and scalable separation and purification method. The established AEX method using Eshmuno® Q, a strong tentacle anion exchange resin, was used to demonstrate the principal feasibility of AEX-based isolation and gain insight into isolated EV properties. Using several EV analysis techniques to provide a more detailed insight into EV populations during AEX isolation, we demonstrated that although the composition of CD9/63/81 remained constant for tetraspanin positive EVs, the size distribution and purity changed during elution. Higher salt concentrations eluted larger tetraspanin negative vesicles.
- Published
- 2024
- Full Text
- View/download PDF
6. Informing the Global Data Future: Benchmarking Data Governance Frameworks
- Author
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Sara Marcucci, Natalia González Alarcón, Stefaan G. Verhulst, and Elena Wüllhorst
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data governance ,data protection ,international development ,policy ,responsible data use ,Information technology ,T58.5-58.64 ,Political institutions and public administration (General) ,JF20-2112 - Abstract
Data has become a critical trans-national and cross-border resource. Yet, the lack of a well-defined approach to using it poses challenges to harnessing its value. This article explores the increasing importance of global data governance due to the rapid growth of data, and the need for responsible data practices. The purpose of this paper is to compare approaches and identify patterns in the emergent data governance ecosystem within sectors close to the international development field, ultimately presenting key takeaways and reflections on when and why a global data governance framework may be needed. Overall, the paper provides information about the conditions when a more holistic, coordinated transnational approach to data governance may be needed to responsibly manage the global flow of data. The report does this by (a) considering conditions specified by the literature that may be conducive to global data governance, and (b) analyzing and comparing existing frameworks, specifically investigating six key elements: purpose, principles, anchoring documents, data description and lifecycle, processes, and practices. The article closes with a series of final recommendations, which include adopting a broader concept of data stewardship to reconcile data protection and promotion, focusing on responsible reuse of data to unlock socioeconomic value, harmonizing meanings to operationalize principles, incorporating global human rights frameworks to provide common North Stars, unifying key definitions of data, adopting a data lifecycle approach, incorporating participatory processes and collective agency, investing in new professions with specific roles, improving accountability through oversight and compliance mechanisms, and translating recommendations into practical tools.
- Published
- 2023
- Full Text
- View/download PDF
7. ADAM17-dependent signaling is required for oncogenic human papillomavirus entry platform assembly
- Author
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Snježana Mikuličić, Jérôme Finke, Fatima Boukhallouk, Elena Wüstenhagen, Dominik Sons, Yahya Homsi, Karina Reiss, Thorsten Lang, and Luise Florin
- Subjects
microdomains ,entry receptor complex ,oncogenic Papillomavirus ,growth factors ,ADAM17 ,tetraspanin ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
Oncogenic human papillomaviruses (HPV) are small DNA viruses that infect keratinocytes. After HPV binding to cell surface receptors, a cascade of molecular interactions mediates the infectious cellular internalization of virus particles. Aside from the virus itself, important molecular players involved in virus entry include the tetraspanin CD151 and the epidermal growth factor receptor (EGFR). To date, it is unknown how these components are coordinated in space and time. Here, we studied plasma membrane dynamics of CD151 and EGFR and the HPV16 capsid during the early phase of infection. We find that the proteinase ADAM17 activates the extracellular signal-regulated kinases (ERK1/2) pathway by the shedding of growth factors which triggers the formation of an endocytic entry platform. Infectious endocytic entry platforms carrying virus particles consist of two-fold larger CD151 domains containing the EGFR. Our finding clearly dissects initial virus binding from ADAM17-dependent assembly of a HPV/CD151/EGFR entry platform.
- Published
- 2019
- Full Text
- View/download PDF
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