45 research outputs found

    Mixture formation and heat release in diesel engines

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    Imperial Users onl

    Enabling Cyber Physical Systems with Wireless Sensor Networking Technologies

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    [[abstract]]Over the last few years, we have witnessed a growing interest in Cyber Physical Systems (CPSs) that rely on a strong synergy between computational and physical components. CPSs are expected to have a tremendous impact on many critical sectors (such as energy, manufacturing, healthcare, transportation, aerospace, etc) of the economy. CPSs have the ability to transform the way human-to-human, human-toobject, and object-to-object interactions take place in the physical and virtual worlds. The increasing pervasiveness of Wireless Sensor Networking (WSN) technologies in many applications make them an important component of emerging CPS designs. We present some of the most important design requirements of CPS architectures. We discuss key sensor network characteristics that can be leveraged in CPS designs. In addition, we also review a few well-known CPS application domains that depend on WSNs in their design architectures and implementations. Finally, we present some of the challenges that still need to be addressed to enable seamless integration of WSN with CPS designs.[[incitationindex]]SCI[[booktype]]ç´™

    Mixture formation and heat release in diesel engines

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    Imperial Users onl

    Learning practices of experienced healthcare teams and dyads in acute care settings: a scoping review

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    Objectives To map the evidence on learning practices currently used by experienced healthcare teams and dyads. The hypothesis is that through reviewing the literature we will identify the number and array of current learning practices. Through the lens of collaboration, the authors’ goal is to map current practice to guide future research, policy and practice.Setting The review included studies from North America, Europe, Australasia and Asia. All studies were conducted in acute care settings such as operating rooms, emergency rooms, intensive care units and simulation centres.Participants The participants were experienced healthcare professionals who work in acute care settings of any age or any sex. The group was interprofessional including two or more disciplines and/or professions. Characteristics of the participants who were excluded were students, novices, healthcare professionals who work in non-acute care settings and single profession studies.Primary and secondary outcome measures Aligned to the protocol quantitative and qualitative analyses were conducted. Thematic analysis was used to evaluate and categorise the study findings. Secondary outcome measures were the different types of learning practices used together to produce excellence.Results Most empirical studies were qualitative studies (46%), 31% were mixed methods and 23% were quantitative studies. There were also 24 reviews and 10 commentaries. The most frequent learning practices were structured observation and case scenarios (21%) followed by audio/video analysis and surveys (17%). Next was interviews and didactic presentations (12%) followed by prebriefing/debriefing and checklists (11%). Other learning practices accounted for less than 10%. Overall, 84 of the 86 publications, examined learning practices of teams larger than two participants.Conclusions While the quality of studies was high, and there was a broad range of empirical studies, reviews and commentaries, there was no consensus on best practice in determining which learning practices to use and measurement of the effect of these practices

    Optimising expert dyad performance in acute care settings: a scoping review protocol

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    Introduction When there is miscommunication and poor coordination between experienced clinician dyads, teamwork suffers. Research on expert learning practices for the smallest team, and arguably the most important team, the healthcare dyad, is limited. The objective of this study is to map the extent and range of evidence available on learning practices which experienced dyads use, to achieve excellent performance, and to identify the gaps in effective practice. This will guide future research, policy and practice.Methods and analysis We are using the JBI methodology for scoping reviews and the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Reviews Extension Fillable Checklist, searching for literature that meets the inclusion criteria. The searches will be conducted using Maastricht University’s Libsearch, which includes MEDLINE, Education Resources Information Center and PsycINFO and a second search on Web of Science online databases. We will search grey literature and references of selected sources. Search limits include sources from 2016 to 2021, using English language only. A data extraction tool was developed, and charting will use a thematic analysis approach.Implications and dissemination This review will be the first to examine the learning practices that experienced dyads use, which ensures excellent performance in acute care settings. The findings will be used to develop best-practices and shared with New York City hospital system. Dissemination will occur through peer-reviewed publications and at healthcare conferences
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