1,720,966 research outputs found
The leading order strange quark-connected contribution to the muon anomalous magnetic moment from lattice QCD
No full textI present a calculation of the leading strange quark-connected contribution to the anomalous magnetic moment of the muon, αμ(2)had,s , using lattice QCD. The calculation is performed on two ensembles with lattice extents of 483 x 96 and 643 x 128 with associated inverse lattice spacings of 1:730(4)GeV and 2:359(7)GeV. These were generated with the Iwasaki gauge action and 2+1 dynamical quark flavours, which, along with the valence quarks, are represented on the lattice using the Möbius domain wall fermion action. To account for a slight mistuning in the strange quark mass I use both unitary and partially quenched measurements on each ensemble.I principally use the hybrid method to determine αμ(2)had,s , and I implement several variations of the method in order to quantify a systematic error associated with the selection of any particular variation. In addition, I use a Fourier transformation to compute the hadronic vacuum polarisation (HVP) at momenta not accessible on the lattice, a technique called sine cardinal interpolation (SCI). All these techniques produce results that are highly consistent with one another. Finite volume corrections are expected to be negligible, since G-parity prevents the strange vector current from coupling to pions in the isospin limit. My final result isαμ(2)had,s = 53.1(9)(+1-3) x 10-10where the first error is statistical and the second is systematic. The total error on this result (roughly 2%) is dominated by the statistical uncertainty, which suggests that the methods used here to compute αμ(2)had,s in the case of the strange HVP are robust
A home-based FES system for upper-limb stroke rehabilitation with iterative learning control
No full textMultiple model adaptive ILC for human movement assistance
No full textA switched multiple model iterative learning control framework is developed which guarantees robust stability and performance bounds under the assumption that the true plant belongs to a plant uncertainty set that is specified by the designer. In addition, the framework automatically adapts the reference trajectory according to the action of an existing internal control loop that is assumed to be embedded in the plant structure. The framework is inspired by the needs of stroke rehabilitation where assistive technology must support the remaining, weak volitional effort of the patient. Exploiting the multiple model based switching between models and reference trajectories, the framework is also able to potentially eliminate the need for identification and tuning and hence meet the demanding needs of clinical application
Understanding the relationship between engagement in upper limb activity and expectation of motor recovery
No full textOver 75% of people post stroke are left with some degree of upper limb (UL) impairment. Regular UL activity can help to promote neuroplasticity and motor recovery. Clinical guidelines suggest that people with stroke should receive a minimum of 45 minutes of rehabilitation, 5 days a week, although the dose and intensity of activity are person-dependent. However, there is a lack of engagement with UL activity, despite expectation for improved function. Research objective: To shed light on this disconnect, the current research investigates the relationship between UL activity engagement and expectations for UL motor recovery in stroke. Data collection: Ten chronic stroke participants and four carers were recruited for a series of individual interviews to explore perceptions of UL stroke rehabilitation. Semi-structured interviews were conducted at the University of Southampton by an experienced researcher. Data analysis: Data were analysed from two sets of interviews using mixed methods. Data from interview 1 showed that people with chronic stroke want to regain more function in their UL, and this motivates them to undertake UL activities. Participants were confident that they could undertake their own UL physical activity plan every day (M= 8.18/10) and persevere to make progress from their stroke (M= 8.45/10). However, despite this, only 2/10 participants engaged in more than 4 hours a week of UL activity. Thus, people with stroke are not engaging in enough UL physical activity. Thematic analysis revealed that reasons cited for not undertaking UL activity were physical (e.g. lack of UL function, spasticity, difficulty fitting external devices); and psychosocial (e.g. mood, motivation, frustration). Interview 2 (underway) will present data exploring their understanding of motor learning and the role of UL activity. Quality and validity of data and analysis: Themes were generated through discussion by two researchers and reached saturation. Theoretical and empirical context: The current findings are consistent with previous research into facilitators and barriers of stroke rehabilitation.Conclusion: This research will provide further understanding into factors affecting engagement in UL activity following stroke, and may provide insight into how engagement in UL activity can be increased.<br/
Exploring stroke patients' expectations for upper limb motor recovery and the barriers to achieving those expectations
No full textFabric based wearable technology for stroke rehabilitation
No full textSMARTmove project is funded by the Medical Research Council, which brings together a multidisciplinary team with expertise in materials, direct-write fabrication, control algorithms, electronics, sensors, user interfacing and end-user engagement. The project will deliver a wearable training system that employs functional electrical stimulation (FES) for upper limb rehabilitation following stroke
Low-cost personalised instrumented clothing with integrated FES electrodes for upper limb rehabilitation
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
- …
