484 research outputs found

    A Relational Database Model for Managing Accelerator Control System Software At Jefferson Lab

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    The operations software group at the Thomas Jefferson National Accelerator Facility faces a number of challenges common to facilities managing a large body of software developed in-house. Developers include members of the software group, operators, hardware engineers and accelerator physicists. One management problem has been ensuring that all software has an identified maintainer who is still working at the lab. In some cases, locating source code for 'orphaned' software has also proven to be difficult. Other challenges include enforcing minimal standards for versioning and documentation, segregating test software from operational software, encouraging better code reuse, consolidating input/output file storage and management, and tracking software dependencies. This paper will describe a relational database model for tracking the information necessary to solve the problems above. The instantiation of that database model provides the foundation for various productivity- and consistency- enhancing tools for automated (or at least assisted) building, versioning, documenting and installation of software.Comment: ICALEPCS, 2001 PSN#WEAP07

    Low temperature tunneling current enhancement in silicide/Si Schottky contacts with nanoscale barrier width

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    The low temperature electrical behavior of adjacent silicide/Si Schottky contacts with or without dopant segregation is investigated. The electrical characteristics are very well modeled by thermionic-field emission for non-segregated contacts separated by micrometer-sized gaps. Still, an excess of current occurs at low temperature for short contact separations or dopant-segregated contacts when the voltage applied to the device is sufficiently high. From two-dimensional self-consistent non-equilibrium Green's function simulations, the dependence of the Schottky barrier profile on the applied voltage, unaccounted for in usual thermionic-field emission models, is found to be the source of this deviation

    Adherence to the Obeid coronal malalignment classification and a residual malalignment below 20 mm can improve surgical outcomes in adult spine deformity surgery

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    Adult spinal deformity; Coronal alignment; Mechanical complicationsDeformidad espinal del adulto; Alineación coronal; Complicaciones mecánicasDeformitat espinal de l'adult; Alineació coronal; Complicacions mecàniquesPurpose Coronal balance is a major factor impacting the surgical outcomes in adult spinal deformity (ASD). The Obeid coronal malalignment (O-CM) classification has been proposed to improve the coronal alignment in ASD surgery. Aim of this study was to investigate whether a postoperative CM < 20 mm and adherence to the O-CM classification could improve surgical outcomes and decrease the rate of mechanical failure in a cohort of ASD patients. Methods Multicenter retrospective analysis of prospectively collected data on all ASD patients who underwent surgical management and had a preoperative CM > 20 mm and a 2-year follow-up. Patients were divided in two groups according to whether or not surgery had been performed in adherence to the guidelines of the O-CM classification and according to whether or not the residual CM was < 20 mm. The outcomes of interest were radiographic data, rate of mechanical complications and Patient-Reported Outcome Measures. Results At 2 years, adherence to the O-CM classification led to a lower rate of mechanical complications (40 vs. 60%). A coronal correction of the CM < 20 mm allowed for a significant improvement in SRS-22 and SF-36 scores and was associated with a 3.5 times greater odd of achieving the minimal clinical important difference for the SRS-22. Conclusion Adherence to the O-CM classification could reduce the risk of mechanic complications 2 years after ASD surgery. Patients with a residual CM < 20 mm showed better functional outcomes and a 3.5 times greater odd of achieving the MCID for the SRS-22 score.Open Access funding enabled and organized by Projekt DEAL. None

    L’Indice de biodiversité potentielle (IBP) en région méditerranéenne

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    L’IBP est un outil pour évaluer la biodiversité taxonomique ordinaire des peuplements forestiers. Rapide et simple à utiliser, il est basé sur l’estimation indirecte de la biodiversité au travers de l’évaluation de la capacité d’accueil en espèces et en communautés, à l’échelle du peuplement forestier. Il consiste à apprécier un ensemble de dix facteurs parmi ceux qui sont habituellement reconnus comme les plus favorables à la diversité interne des peuplements. Un score de 0, 2 ou 5 est donné sur le terrain à chacun des facteurs selon une échelle de valeurs seuils et leur somme donne l’IBP. L’IBP est adapté à toutes les forêts des domaines atlantique et continental. L’extension à la région méditerranéenne est à l’étude depuis 2009. Le domaine d’utilisation de l’IBP « méditerranée » a été précisé, tant au niveau géographique qu’au niveau des formations végétales concernées. Les facteurs et les seuils ont été revus pour tenir compte des caractéristiques des forêts méditerranéennes. La problématique des incendies est également étudiée à travers les relations entre la biodiversité taxonomique et les feux de forêt, car la forêt méditerranéenne est particulièrement concernée

    HIGH-LEVEL APPLICATION FRAMEWORK FOR LCLS*

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    each other easily. Also, many components such as Help, A framework for high level accelerator application Search, Cut, Copy and Paste are seamlessly integrated software is being developed for the Linac Coherent Light through the Eclipse framework. Source (LCLS). The framework is based on plug-in technology developed by an open source project, Eclipse. Many existing functionalities provided by Eclipse are available to high-level applications written within this framework. The framework also contains static data storage configuration and dynamic data connectivity. Because the framework is Eclipse-based, it is highly compatible with any other Eclipse plug-ins. The entire infrastructure of the software framework will be presented. Planned applications and plug-ins based on the framework are also presented

    Early Diagnosis, Treatment and Follow-Up of Cystic Echinococcosis in Remote Rural Areas in Patagonia: Impact of Ultrasound Training of Non-Specialists

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    Cystic echinococcosis (CE) is an important and widespread disease that affects sheep, cattle, and humans living in areas where sheep and cattle are raised. CE is highly endemic in rural sections of Rio Negro, Argentina, where our group is based. However, it requires continuous monitoring of both populations with human disease best assessed by means of ultrasound (US) screening. This is challenging in remote rural areas due to the shortage of imaging specialists. To overcome this hurdle, we set up a two-day training program of Focused Assessment with Sonography for Echinococcosis (FASE) on CE for family medicine practitioners with no previous experience in US. After the course, they were equipped with portable US scanners and dispatched to remote rural areas in Rio Negro where they screened patients, located and staged the cysts and decided on the treatment with the help of surgeons and radiologists in local tertiary care centers

    SOFTWARE TOOLS FOR OPERATIONS AND MAINTENANCE PLANNING AT JEFFERSON LAB*

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    Abstract Time for maintenance, repair and testing is a precious commodity. A queue of pre-planned work is critical to taking advantage of unplanned repair downtime to squeeze in extra work. Jefferson Lab has a web-based tool called ATLis (Accelerator Task List) that collects work plans and routes them for review

    A feasibility randomised controlled trial of the New Orleans intervention of infant mental health: a study protocol

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    Child maltreatment is associated with life-long social, physical, and mental health problems. Intervening early to provide maltreated children with safe, nurturing care can improve outcomes. The need for prompt decisions about permanent placement (i.e., regarding adoption or return home) is internationally recognised. However, a recent Glasgow audit showed that many maltreated children “revolve” between birth families and foster carers. This paper describes the protocol of the first exploratory randomised controlled trial of a mental health intervention aimed at improving placement permanency decisions for maltreated children. This trial compares an infant's mental health intervention with the new enhanced service as usual for maltreated children entering care in Glasgow. As both are new services, the trial is being conducted from a position of equipoise. The outcome assessment covers various fields of a child’s neurodevelopment to identify problems in any ESSENCE domain. The feasibility, reliability, and developmental appropriateness of all outcome measures are examined. Additionally, the potential for linkage with routinely collected data on health and social care and, in the future, education is explored. The results will inform a definitive randomised controlled trial that could potentially lead to long lasting benefits for the Scottish population and which may be applicable to other areas of the world

    Challenges in dengue research: A computational perspective

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    This is the final version of the article. Available from Wiley via the DOI in this record.The dengue virus is now the most widespread arbovirus affecting human populations, causing significant economic and social impact in South America and South-East Asia. Increasing urbanization and globalization, coupled with insufficient resources for control, misguided policies or lack of political will, and expansion of its mosquito vectors are some of the reasons why interventions have so far failed to curb this major public health problem. Computational approaches have elucidated on dengue's population dynamics with the aim to provide not only a better understanding of the evolution and epidemiology of the virus but also robust intervention strategies. It is clear, however, that these have been insufficient to address key aspects of dengue's biology, many of which will play a crucial role for the success of future control programmes, including vaccination. Within a multiscale perspective on this biological system, with the aim of linking evolutionary, ecological and epidemiological thinking, as well as to expand on classic modelling assumptions, we here propose, discuss and exemplify a few major computational avenues—real-time computational analysis of genetic data, phylodynamic modelling frameworks, within-host model frameworks and GPU-accelerated computing. We argue that these emerging approaches should offer valuable research opportunities over the coming years, as previously applied and demonstrated in the context of other pathogens.JL, AW and SG received funding from the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013) / ERC grant agreement no. 268904 - DIVERSITY. MR was supported by a Royal Society University Research Fellowship. NRF by a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (grant number 204311/Z/16/Z). WT has received funding from a doctoral scholarship from the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership
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