BURA Collection:http://bura.brunel.ac.uk/handle/2438/40942024-03-28T12:00:10Z2024-03-28T12:00:10ZMock Circulatory Loops Used For Testing Cardiac Assist Devices: A Review Of Computational And Experimental ModelsCappon, FWu, TPapaioannou, TDu, XHsu, P-LKhir, AWhttp://bura.brunel.ac.uk/handle/2438/232022024-03-22T16:38:58Z2021-09-28T00:00:00ZTitle: Mock Circulatory Loops Used For Testing Cardiac Assist Devices: A Review Of Computational And Experimental Models
Authors: Cappon, F; Wu, T; Papaioannou, T; Du, X; Hsu, P-L; Khir, AW
Abstract: Heart failure is a major health risk, and with limited availability of donor organs, there is an increasing need for developing cardiac assist devices (CADs). Mock circulatory loops (MCL) are an important in-vitro test platform for CAD’s performance assessment and optimisation. The MCL is a lumped parameter model constructed out of hydraulic and mechanical components aiming to simulate the native cardiovascular system (CVS) as closely as possible. Further development merged MCLs and numerical circulatory models to improve flexibility and accuracy of the system; commonly known as hybrid MCLs. A total of 128 MCLs were identified in a literature research until 25 September 2020. It was found that the complexity of the MCLs rose over the years, recent MCLs are not only capable of mimicking the healthy and pathological conditions, but also implemented cerebral, renal and coronary circulations and autoregulatory responses. Moreover, the development of anatomical models made flow visualisation studies possible. Mechanical MCLs showed excellent controllability and repeatability, however, often the CVS was overly simplified or lacked autoregulatory responses. In numerical MCLs the CVS is represented with a higher order of lumped parameters compared to mechanical test rigs, however, complex physiological aspects are often simplified. In hybrid MCLs complex physiological aspects are implemented in the hydraulic part of the system, whilst the numerical model represents parts of the CVS that are too difficult to represent by mechanical components per se. This review aims to describe the advances, limitations and future directions of the three types of MCLs.2021-09-28T00:00:00ZCharacterising the evidence base for advanced clinical practice in the UK: a scoping review protocolEvans, CPoku, BPearce, REldridge, JHendrick, PKnaggs, RMcLuskey, JTomczak, PThow, RHarris, PConway, JCollier, Rhttp://bura.brunel.ac.uk/handle/2438/223552024-03-22T17:30:02Z2020-05-20T00:00:00ZTitle: Characterising the evidence base for advanced clinical practice in the UK: a scoping review protocol
Authors: Evans, C; Poku, B; Pearce, R; Eldridge, J; Hendrick, P; Knaggs, R; McLuskey, J; Tomczak, P; Thow, R; Harris, P; Conway, J; Collier, R
Abstract: Introduction A global health workforce crisis, coupled with ageing populations, wars and the rise of non-communicable diseases is prompting all countries to consider the optimal skill mix within their health workforce. The development of advanced clinical practice (ACP) roles for existing non-medical cadres is one potential strategy that is being pursued. In the UK, National Health Service (NHS) workforce transformation programmes are actively promoting the development of ACP roles across a wide range of non-medical professions. These efforts are currently hampered by a high level of variation in ACP role development, deployment, nomenclature, definition, governance and educational preparation across the professions and across different settings. This scoping review aims to support a more consistent approach to workforce development in the UK, by identifying and mapping the current evidence base underpinning multiprofessional advanced level practice in the UK from a workforce, clinical, service and patient perspective.
Methods and analysis This scoping review is registered with the Open Science Framework (https://osf.io/tzpe5). The review will follow Joanna Briggs Institute guidance and involves a multidisciplinary and multiprofessional team, including a public representative. A wide range of electronic databases and grey literature sources will be searched from 2005 to the present. The review will include primary data from any relevant research, audit or evaluation studies. All review steps will involve two or more reviewers. Data extraction, charting and summary will be guided by a template derived from an established framework used internationally to evaluate ACP (the Participatory Evidence-Informed Patient-Centred Process-Plus framework).
Dissemination The review will produce important new information on existing activity, outcomes, implementation challenges and key areas for future research around ACP in the UK, which, in the context of global workforce transformations, will be of international, as well as local, significance. The findings will be disseminated through professional and NHS bodies, employer organisations, conferences and research papers.2020-05-20T00:00:00ZSelf-optimized heterogeneous networks for energy efficiencyFan, STian, HSengul, Chttp://bura.brunel.ac.uk/handle/2438/223092024-03-22T17:36:59Z2015-12-01T00:00:00ZTitle: Self-optimized heterogeneous networks for energy efficiency
Authors: Fan, S; Tian, H; Sengul, C
Abstract: Explosive increase in mobile data traffic driven by the demand for higher data rates and ever-increasing number of wireless users results in a significant increase in power consumption and operating cost of communication networks. Heterogeneous networks (HetNets) provide a variety of coverage and capacity options through the use of cells of different sizes. In these networks, an active/sleep scheduling strategy for base stations (BSs) becomes an effective way to match capacity to demand and also improve energy efficiency. At the same time, environmental awareness and self-organizing features are expected to play important roles in improving the network performance. In this paper, we propose a new active/sleep scheduling scheme based on the user activity sensing of small cell BSs. To this end, coverage probability, network capacity, and energy consumption of the proposed scheme in K-tier heterogeneous networks are analyzed using stochastic geometry, accounting for cell association uncertainties due to random positioning of users and BSs, channel conditions, and interference. Based on the analysis, we propose a sensing probability optimization (SPO) approach based on reinforcement learning to acquire the experience of optimizing the user activity sensing probability of each small cell tier. Simulation results show that SPO adapts well to user activity fluctuations and improves energy efficiency while maintaining network capacity and coverage probability guarantees.2015-12-01T00:00:00ZThe Post-ICU Presentation Screen (PICUPS) and Rehabilitation Prescription (RP) for Intensive care survivors part II: Clinical engagement and future directions for the National Post-Intensive Care Rehabilitation CollaborativePuthucheary, ZBrown, CCorner, EWallace, SHighfield, JBear, DRehill, NMontgomery, HAitkin, LTurner-Stokes, Lhttp://bura.brunel.ac.uk/handle/2438/220572024-03-23T13:46:33Z2021-02-01T00:00:00ZTitle: The Post-ICU Presentation Screen (PICUPS) and Rehabilitation Prescription (RP) for Intensive care survivors part II: Clinical engagement and future directions for the National Post-Intensive Care Rehabilitation Collaborative
Authors: Puthucheary, Z; Brown, C; Corner, E; Wallace, S; Highfield, J; Bear, D; Rehill, N; Montgomery, H; Aitkin, L; Turner-Stokes, L2021-02-01T00:00:00Z