607 research outputs found

    Editorial

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    Tizard Learning Disability Review 19 (2)

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    A national UK survey of peripatetic support teams for children and adults with intellectual and developmental disability who display challenging behaviour

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    Background: The service provision model of peripatetic support teams for people with intellectual disabilities who present challenging behaviour has been well established in the United Kingdom, with a small but growing evidence base. The current context in the UK would appear to indicate an ever-increasing role for such teams, in order to support people in their own communities and reduce the reliance on out-of-area placements. This study sought to establish the current position of such teams within the UK. Method and materials: 46 teams were given the opportunity to complete an online questionnaire regarding the team's day to day functioning. Results: 20 services responded to the survey providing a range of data. The results suggested that the services were mainly targeted towards adults, had a range of working practices and therapeutic orientations, with broadly successful outcomes (albeit self reported). The data would also suggest that this type of provision had diminished in recent years. Conclusions: The implications of the survey are discussed within the context of the current policy in the UK. In particular, the lack of provision for children, the use of evidence based practice and what appears to be a diminishing resource just at the time when it is most needed are explored

    Tizard Learning Disability Review Editorial 19 (3)

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    Derivation of surface properties from Magellan altimetry data

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    The fit of the Hagfors model to the Magellan altimetry data provides a means to characterize the surface properties of Venus. However, the derived surface properties are only meaningful if the model provides a good representation of the data. The Hagfors model provides a good representation of the data. The Hagfors model is generally a realistic fit to surface scattering properties of a nadir-directed antenna such as the Magellan altimeter; however, some regions of the surface of Venus are poorly described by the existing model, according to the goodness of fit parameter provided on the ARCDR CD-ROMs. Poorly characterized regions need to be identified and fit to new models in order to derive more accurate surface properties for use in inferring the geological processes that affect the surface in those regions. We have compared the goodness of fit of the Hagfors model to the distribution of features across the planet, and preliminary results show a correlation between steep topographic slopes and poor fits to the standard model, as has been noticed by others. In this paper, we investigate possible relations between many classes of features and the ability of the Hagfors model to fit the observed echo profiles. In the regions that are not well characterized by existing models, we calculate new models that compensate for topographic relief in order to derive improved estimates of surface properties. Areas investigated to date span from longitude 315 through 45, at all latitudes covered by Magellan. A survey of those areas yields preliminary results that suggest that topographically high regions are well suited to the current implementation of the Hagfors model. Striking examples of such large-scale good fits are Alpha Regio, the northern edges of Lada Terra, and the southern edge of Ishtar Terra. Other features that are typically well fit are the rims of coronae such as Heng-O and the peaks of volcanos such as Gula Mons. Surprisingly, topographically low regions, such as the ubiquitous plains areas, are modeled poorly in comparison. However, this generalization has has exceptions: Lakshmi Planum is an elevated region that is not well fit compared to the rest of neighboring Ishtar, while the southern parts of topographically low Guinevere Planitia are characterized quite well by the Hagfors model. Features that are candidates for improved models are impact craters, coronae, ridges of significant scale, complex ridged terrains, moderate-sized mountains, and sharp terrain boundaries. These features are chosen because the goodness of fit is likely to be most affected either by departures from normal incidence angles or by sharp changes in terrain type within a single footprint. Most large features that are elevated with respect to their surroundings will suffer from steep slope effects, and smaller coronae and impact craters will probably suffer due to rapid changes in their appearance within a single footprint (10-20 km)

    Ongoing astrometric microlensing events from VVV and Gaia

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    6 pages, 2 figures, accepted MNRAS LettersWe extend predictive microlensing event searches using the Vista Variables in the Via Lactea survey and the second Gaia data release. We identify two events with maxima in 2019 that require urgent follow-up. First, we predict that the nearby M2 dwarf L 338-152 will align with a background source with a closest approach of 35−23+3535^{+35}_{-23} mas on 2019 November 16−27+2816^{+28}_{-27} d. This will cause a peak astrometric shift and photometric amplification of the background source of 2.7−1.5+3.52.7^{+3.5}_{-1.5} mas and 5.6−5.2+143.25.6^{+143.2}_{-5.2} mmag respectively. This event should be astrometrically detectable by both the Hubble Space Telescope (HST) and the Spectro-Polarimetric High-contrast Exoplanet Research instrument on the Very Large Telescope. Secondly, we predict the likely K dwarf NLTT 45128 will lens a background source with a closest approach of 105.3−11.7+12.2105.3^{+12.2}_{-11.7} mas on 2019 September 26−15+1526^{+15}_{-15} d. This will produce a peak astrometric shift of 0.329−0.059+0.0650.329^{+0.065}_{-0.059} mas. NLTT 45128 is only 3.6 magnitudes brighter than the background source which makes it an excellent candidate for follow-up with HST. Characterisation of these signals will allow direct gravitational masses to be inferred for both L 338-152 and NLTT 45128 with an estimated precision of ∼9\sim9 and ∼13\sim13 per cent respectively.Peer reviewedFinal Published versio
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