The Thermal Degradation of Polymethacrylonitrile

Abstract Not Provided

Evaluation of the off-state base-emitter voltage requirement of the SiC BJT with a regenerative proportional base driver circuit and their application in an inverter

A strong candidate device for use in high-efficiency and high-density power converters is the SiC bipolar junction transistor, which requires a continuous gate (base) current to maintain its on-state. A base driver circuit with regenerative collector current feedback using a current transformer, and a negative off-state base-emitter voltage is presented in this article. The off-state base-emitter voltage required to prevent simultaneous conduction of a commercially available device when subjected to dv/dt's is assessed. The device is then utilized in a three-phase dc-To-Ac power converter where the efficacy of using the proposed base driver is evaluated. The off-state base-emitter voltage used is informed by the dv/dt tests. The converter is supplied from a 600-V dc rail, switches at 50 kHz and supplies a 4.1-kW load at a modulation index of 0.9. An efficiency of 97.4% was measured

Augmented reality–assisted microsurgical resection of brain arteriovenous malformations: illustrative case

Background: Arteriovenous malformations (AVMs) of the brain are vessel conglomerates of feeding arteries and draining veins that carry a risk of spontaneous and intraoperative rupture. Augmented reality (AR)-assisted neuronavigation permits continuous, real-time, updated visualization of navigation information through a heads-up display, thereby potentially improving the safety of surgical resection of AVMs. Observations: The authors report a case of a 37-year-old female presenting with a 2-year history of recurrent falls due to intermittent right-sided weakness and increasing clumsiness in the right upper extremity. Magnetic resonance imaging, magnetic resonance angiography, and cerebral angiography of the brain revealed a left parietal Spetzler-Martin grade III AVM. After endovascular embolization of the AVM, microsurgical resection using an AR-assisted neuronavigation system was performed. Postoperative angiography confirmed complete obliteration of arteriovenous shunting. The postsurgical course was unremarkable, and the patient remains in excellent health. Lessons: Our case describes the operative setup and intraoperative employment of AR-assisted neuronavigation for AVM resection. Application of this technology may improve workflow and enhance patient safety

Mediterranean-type diet and brain structural change from 73 to 76 years in a Scottish cohort

STUDY FUNDING The data were collected by a Research into Ageing programme grant; research continues as part of the Age UK–funded Disconnected Mind project. The work was undertaken by The University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology, part of the cross-council Lifelong Health and Wellbeing Initiative (MR/K026992/1), with funding from the BBSRC and Medical Research Council. Imaging and image analysis was performed at the Brain Research Imaging Centre (sbirc.ed.ac.uk/), Edinburgh, supported by the Scottish Funding Council SINAPSE Collaboration. Derivation of mean cortical thickness measures was funded by the Scottish Funding Council’s Postdoctoral and Early Career Researchers Exchange Fund awarded by SINAPSE to David Alexander Dickie. L.C.A.C. acknowledges funding from the Scottish Government's Rural and Environment Science and Analytical Services (RESAS) division.Peer reviewedPublisher PD

Mediterranean-type diet and brain structural change from 73 to 79 years in the Lothian Birth Cohort 1936

Acknowledgements: We thank the LBC1936 members and project staff. Study Funding: The LBC1936 and this research are supported by Age UK (Disconnected Mind project), the UK Medical Research Council [MRC; G0701120, G1001245, MR/M013111/1, MR/R024065/1], and the University of Edinburgh. SRC, MEB, and IJD were also supported by a National Institutes of Health (NIH) research grant R01AG054628. JMW, IJD are also supported by a Wellcome Trust Strategic Award (Ref 104036/Z/14/Z). MCVH is funded by the Row Fogo Charitable Trust (grant No. BROD.FID3668413). SRC was also supported by a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (Grant Number 221890/Z/20/Z). Imaging and image analysis was performed at the Brain Research Imaging Centre (http://www.sbirc.ed.ac.uk/), Edinburgh, supported by the Scottish Funding Council SINAPSE Collaboration. LCAC acknowledges 4 Luciano funding from the Scottish Government’s Rural and Environment Science and Analytical Services (RESAS) division. MVH is funded by the Row Fogo Charitable Trust Centre for Research into Ageing and the Brain (Ref No: AD.ROW4.35. BRO-D.FID3668413). JMW received funding from the UK Dementia Research Institute which receives its funding from DRI Ltd, funded by the UK Medical Research Council, Alzheimer’s Society and Alzheimer’s Research UK.Peer reviewedPublisher PD

Exploring the dynamics of compliance with community penalties

In this paper, we examine how compliance with community penalties has been theorized hitherto and seek to develop a new dynamic model of compliance with community penalties. This new model is developed by exploring some of the interfaces between existing criminological and socio-legal work on compliance. The first part of the paper examines the possible definitions and dimensions of compliance with community supervision. Secondly, we examine existing work on explanations of compliance with community penalties, supplementing this by drawing on recent socio-legal scholarship on private individuals’ compliance with tax regimes. In the third part of the paper, we propose a dynamic model of compliance, based on the integration of these two related analyses. Finally, we consider some of the implications of our model for policy and practice concerning community penalties, suggesting the need to move beyond approaches which, we argue, suffer from compliance myopia; that is, a short-sighted and narrowly focused view of the issues

Disaster resilience in Australia: A geographic assessment using an index of coping and adaptive capacity

This paper reports a national-scale assessment of disaster resilience, using the Australian Disaster Resilience Index. The index assesses resilience at three levels: overall capacity for disaster resilience; coping and adaptive capacity; and, eight themes of disaster resilience across social, economic and institutional domains. About 32% of Australia's population (7.6 million people) live in an area assessed as having high capacity for disaster resilience. About 52% of Australia's population (12.3 million people) live in an area assessed as having moderate capacity for disaster resilience. The remaining 16% of Australia's population (3.8 million people) live in an area assessed as having low capacity for disaster resilience. Distribution of disaster resilience in Australia is strongly influenced by a geography of remoteness. Most metropolitan and inner regional areas were assessed as having high capacity for disaster resilience. In contrast, most outer regional, remote and very remote areas were assessed as having low capacity for disaster resilience, although areas of low capacity for disaster resilience can occur in metropolitan areas. Juxtaposed onto this distribution, themes of disaster resilience highlight strengths and barriers to disaster resilience in different communities. For example, low community capital and social cohesion is a disaster resilience barrier in many metropolitan areas, but higher community capital and social cohesion in outer regional and some remote areas supports disaster resilience. The strategic intent of a shared responsibility for disaster resilience can benefit from understanding the spatial distribution of disaster resilience, so that policies and programmes can address systemic influences on disaster resilience

The Australian Natural Disaster Resilience Index: Annual project report 2017-18

Natural hazard management policy directions in Australia – and indeed internationally – are increasingly being aligned to ideas of resilience. However, the definition and conceptualization of resilience in relation to natural hazards is keenly contested within academic literature (Klein et al., 2003; Wisner et al., 2004; Boin et al., 2010; Tierney, 2014). Broadly speaking, resilience to natural hazards is the ability of individuals and communities to cope with disturbances or changes and to maintain adaptive behaviour (Maguire and Cartwright, 2008). Building resilience to natural hazards requires the capacity to cope with the event and its aftermath, as well as the capacity to learn about hazard risks, change behaviour, transform institutions and adapt to a changing environment (Maguire and Cartwright, 2008). The Australian Natural Disaster Resilience Index is a tool for assessing the resilience of communities to natural hazards at a large scale. Using a top down approach, the assessment will provide input to macro-level policy, strategic planning, community planning and community engagement activities at National, State and local government levels. First, it is a snapshot of the current state of natural hazard resilience at a national scale. Second, it is a layer of information for use in strategic policy development and planning. Third, it provides a benchmark against which to assess future change in resilience to natural hazards. Understanding resilience strengths and weaknesses will help communities, governments and organizations to build the capacities needed for living with natural hazards. Design of the Australian Natural Disaster Resilience Index The Australian Natural Disaster Resilience Index will assess resilience based on two sets of capacities – coping capacity and adaptive capacity. We have used a hierarchical structure for the Australian Natural Disaster Resilience Index. Indicators provide the data for a theme – together the indicators measure the status of the theme. We collected approximately 90 indicators across the eight coping and adaptive capacity themes. Indicators were collected at Statistical Area 2 (SA2) resolution where possible. Results of the Australian Natural Disaster Resilience Index The results and initial trends in the eight themes of the Australian Natural Disaster Resilience Index are presented below. It should be noted that these interpretations and maps are subject to further change as the State of Disaster Resilience Report is developed. What is presented here is an overview of the pattern of index values. In all maps, lower index values in brown represent lower disaster resilience and higher index values in green represent higher disaster resilience. Each of the sections is an SA2 division of the ABS