158,774 research outputs found

    RooStats for Searches

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    The RooStats toolkit, which is distributed with the ROOT software package, provides a large collection of software tools that implement statistical methods commonly used by the High Energy Physics community. The toolkit is based on RooFit, a high-level data analysis modeling package that implements various methods of statistical data analysis. RooStats enforces a clear mapping of statistical concepts to C++ classes and methods and emphasizes the ability to easily combine analyses within and across experiments. We present an overview of the RooStats toolkit, describe some of the methods used for hypothesis testing and estimation of confidence intervals and finally discuss some of the latest developments.Comment: Contributed to "PHYSTAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding

    Parallelization of an object-oriented FEM dynamics code: influence of the strategies on the Speedup

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    This paper presents an implementation in C++ of an explicit parallel finite element code dedicated to the simulation of impacts. We first present a brief overview of the kinematics and the explicit integration scheme with details concerning some particular points. Then we present the OpenMP parallelization toolkit used in order to parallelize our FEM code, and we focus on how the parallelization of the DynELA FEM code has been conducted for a shared memory system using OpenMP. Some examples are then presented to demonstrate the efficiency and accuracy of the proposed implementations concerning the Speedup of the code. Finally, an impact simulation application is presented and results are compared with the ones obtained by the commercial Abaqus explicit FEM code

    Comprehensive Cancer Control Branch Program evaluation toolkit

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    The Comprehensive Cancer Control Branch (CCCB) is part of the Centers for Disease Control and Prevention's (CDC's) Division of Cancer Prevention and Control (DCPC). CCCB developed this toolkit to help funded programs meet the evaluation requirements established for their cooperative agreements. This toolkit provides general guidance on evaluation principles and techniques, as well as practical templates and tools; therefore, grantees can continue to use the toolkit to support their evaluation efforts even as the program evolves and priorities change.Toolkit overview -- 1. Evaluation primer -- 2. How to evaluate your CCC program -- 3. Glossary of evaluation terms -- 4. For further study -- 5. Toolkit evaluation: we want your feedback -- 6. References -- Appendix A. Key contacts and toolkit development -- Appendix B. Evaluation plan template -- Appendix C. Sample logic model"June 2010."Also available via the World Wide Web as an Acrobat .pdf file (3.79 MB, 81 p.).Includes bibliographical references (p. 65)

    Report on the theoretical framework and empirical toolkit for analysing literacy case-studies

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    In this report, we present a theoretical framework for the analysis and assessment of literacy practices and (socio)cultural participation (see section 1). In addition to this theoretical framework, we also present and evaluate a set of methodological tools. In order to evaluate this toolkit, C&E discusses the application of these methods for data collection and analysis, as well as their theoretical grounding (see section 2). Based on a case study of the developers’ discourse on social media platforms, we present part of the outcome generated with the methodological tools (see section 3). In the closing section of this report, we provide an overview of the affordances and limitations of the toolkit and briefly discuss how these issues will be addressed in the case studies that are now in progress. (see section 4)

    Culture and disaster risk management - synthesis of citizens’ reactions and opinions during 6 Citizen Summits : Romania, Malta, Italy, Germany, Portugal and the Netherlands

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    The analyses and results in this document are based on the data collected during six Citizen Summits held in A) Romania (Bucharest) on July 9th, 2016 B) Malta on July 16th, 2016 C) Italy (Rome) on June 17th, 2017 D) Germany (Frankfurt) on June 24th, 2017 E) Portugal (Lisbon) April 14th, 2018 F) The Netherlands (Utrecht)on May 12th, 2018. All Citizen Summits were designed as one-day events combining public information with feedback gathering through different methods of data collection, as laid out in Deliverable D5.1 (Structural design & methodology for Citizen Summits). A total of 619 citizens participated in the six events. In the morning session, the Citizen Summits started with a presentation of the CARISMAND project and its main goals and concepts. Then, several sets of questions with pre-defined answer options were posed to the audience and responses collected via an audience response system. All questions in this part of the event aimed to explore citizens’ attitudes, perceptions, and intended behaviours related to disasters and disaster risks. Between these sets of questions, additional presentations were held that informed the audience about state-of-the-art disaster preparedness and response topics (e.g., large-scale disaster scenario exercises, use of social media and mobile phone apps), as well as CARISMAND research findings. Furthermore, the last round of Citizen Summits (CS5 in Lisbon and CS6 in Utrecht) were organised and designed to additionally discuss and collect feedback on recommendations for citizens, which have all been formulated on the basis of Work Packages 2-10 results and in coordination with the Work Package 11 brief. These Toolkit recommendations will form one of the core elements of the Work Package 9 CARISMAND Toolkit. In the afternoon session of each event, small moderated group discussions (with 8-12 participants each) of approximately 2 hours’ duration were held, which aimed to gather citizens’ direct feedback on the topics presented in the morning sessions, following a detailed discussion guideline. For a detailed overview of all questions asked and topics discussed, please see Appendices A-1 to A-3. The rest of this report is structured in six main sections: After the executive summary and this introduction, the third section will present an overview of the different methods applied. The fourth section will provide a synthesis of quantitative and qualitative data collected during all Citizen Summits. The fifth section will present the evaluation of CARISMAND Toolkit recommendations for citizens, followed by a final concluding chapter.The project was co-funded by the European Commission within the Horizon2020 Programme (2014-2020).peer-reviewe

    Report by the RECOVEU Consortium (December 2016). RECOVEU: A participative approach to curriculum development for adults in addiction recovery across the European Union. Report for Deliverable 7.3: Evaluation Toolkit Feedback Review (Final). EU Lifelong Learning Project. Project No. 538955-LLP-1-2013-UK-GRUNDTVIG-GMP.

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    RECOVEU is aimed at producing a set of 'Access to Learning' materials for people in addiction recovery. A key factor in the project is the development of an Evaluation Toolkit, designed to support educators to assess the effectiveness of the ‘Access to Learning’ course materials and their impact. The Evaluation Tools were designed in a way to aid on-going evaluation of learning activities and are presented in the form of questionnaires to be completed by service users. The Evaluation Toolkit includes two different types of tools: 1. Four Psychological Evaluation Tools used to assess whether there are meaningful outcomes for participants: for example, an increase in self-efficacy for education and/or the contribution of learning activities to sustained participation in learning. a) Learning Self-Efficacy Questionnaire. b) Employability Self-Efficacy Questionnaire. c) Self-Esteem Questionnaire (Rosenberg Self-Esteem Scale; Rosenberg, 1965). d) Recovery Capital Questionnaire (Assessment of Recovery Capital: ARC; Groshkova, Best and White, 2013). 2. A Module Feedback Form designed to provide a generic assessment of the usefulness of the modules. These evaluation and feedback tools were completed by service users undertaking a pilot of the course materials. This review provides an analysis of the data provided by these participants. Also provided is an overview of service users’ qualitative feedback on use of the Evaluation Tools. The review forms part of a series of three reviews (the two others being Del. 7.1: Pilot Delivery Review and Del 7.2: Qualitative Feedback Review) which together give an overview of the effectiveness and impact of the pilot. The findings from these reviews were used to revise the course materials, Evaluation Tools and Facilitation Pack

    Architecture of collaborating frameworks: simulation, visualisation, user interface and analysis

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    The Anaphe project is an ongoing effort to provide an Object Oriented software environment for data analysis in HENP experiments. A range of commercial and public domain libraries is used to cover basic functionalities; on top of these libraries a set of HENP-specific C++ class libraries for histogram management, fitting, plotting and ntuple-like data analysis has been developed. In order to comply with the user requirements for a command-line driven tool, we have chosen to use a scripting language (Python) as the front-end for a data analysis tool. The loose coupling provided by the consequent use of (AIDA compliant) Abstract Interfaces for each component in combination with the use of shared libraries for their implementation provides an easy integration of existing libraries into modern scripting languages thus allowing for rapid application development. This integration is simplified even further using a specialised toolkit (SWIG) to create "shadow classes" for the Python language, which map the definitions of the Abstract Interfaces almost at a one-to-one level. This paper will give an overview of the architecture and design choices and will present the current status and future developments of the project

    Anaphe - OO Libraries and Tools for Data Analysis

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    The Anaphe project is an ongoing effort to provide an Object Oriented software environment for data analysis in HENP experiments. A range of commercial and public domain libraries is used to cover basic functionalities; on top of these libraries a set of HENP-specific C++ class libraries for histogram management, fitting, plotting and ntuple-like data analysis has been developed. In order to comply with the user requirements for a command-line driven tool, we have chosen to use a scripting language (Python) as the front-end for a data analysis tool. The loose coupling provided by the consequent use of (AIDA compliant) Abstract Interfaces for each component in combination with the use of shared libraries for their implementation provides an easy integration of existing libraries into modern scripting languages thus allowing for rapid application development. This integration is simplified even further using a specialised toolkit (SWIG) to create "shadow classes" for the Python language, which map the definitions of the Abstract Interfaces almost at a one-to-one level. This paper will give an overview of the architecture and design choices and will present the current status and future developments of the project
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