121,925 research outputs found

    National models of ISR: Belgium

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    ERAWATCH country reports 2011 : Malta

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    Acknowledgement: The University of Malta would like to acknowledge its gratitude to the European Commission, Joint Research Centre for their permission to upload this work on OAR@UoM. Further reuse of this document can be made, provided the source is acknowledged. This work was made available with the help of the Publications Office of the European Union, Copyright and Legal Issues Section.The main objective of the ERAWATCH Annual Country Reports is to characterise and assess the performance of national research systems and related policies in a structured manner that is comparable across countries. EW Country Reports 2011 identify the structural challenges faced by national innovation systems. They further analyse and assess the ability of the policy mix in place to consistently and efficiently tackle these challenges. The annex of the reports gives an overview of the latest national policy efforts towards the enhancement of European Research Area and further assess their efficiency to achieve the targets. These reports were originally produced in November - December 2011, focusing on policy developments over the previous twelve months. The reports were produced by the ERAWATCH Network under contract to JRC-IPTS. The analytical framework and the structure of the reports have been developed by the Institute for Prospective Technological Studies of the Joint Research Centre (JRC-IPTS) and Directorate General for Research and Innovation with contributions from ERAWATCH Network Asblpeer-reviewe

    Psychologists Collaborating With Clergy

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    If a patient adheres to religious values and practices, should the treating psychologist get input from a clergyperson? How frequent is clergy-psychologist collaboration? What obstacles impede such collaboration? An exploratory survey questionnaire was sent to 200 clergy, 200 psychologists interested in religious issues, and 200 psychologists selected without regard to religious interests or values. Four themes were assessed: types of collaborative activities, frequency of collaboration, obstacles to collaboration, and ways to enhance collaboration. Strategies for promoting clergy-psychologist collaboration include challenging unidirectional referral assumptions, building trust through proximity and familiarity, and considering the importance of shared values and beliefs

    University of Brighton : Institutional Review by the Quality Assurance Agency for Higher Education

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    Beginning at the End: Reimagining the Dissertation Committee, Reimagining Careers

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    In this article, we forward a perspective on interdisciplinarity and diversity that reconsiders the notion of expertise in order to unstick discussions of graduate education reform that have been at an impasse for some fortyfive years. As research problems have become increasingly complex so has demand for scholars who specialize narrowly within a discipline and who understand the importance of contributions from other disciplines. In light of this, we reimagine the dissertation committee as a group of diverse participants from within and beyond the academy who contribute their knowledge and skills to train the next generation of scholars and researchers to be members of interdisciplinary teams. Graduate students, then, are not expected to be interdisciplinary themselves, but to work in interdisciplinary and diverse teams to discover new insights on their research areas and to prepare for careers interacting with a range of academic and non-academic stakeholders

    Using Genetic Algorithms for Building Metrics of Collaborative Systems

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    he paper objective is to reveal the importance of genetic algorithms in building robust metrics of collaborative systems. The main types of collaborative systems in economy are presented and some characteristics of genetic algorithms are described. A genetic algorithm was implemented in order to determine the local maximum and minimum points of the relative complexity function associated to a collaborative banking system. The intelligent collaborative systems based on genetic algorithms, representing the new generation of collaborative systems, are analyzed and the implementation of auto-adaptive interfaces in a banking application is described.Collaborative Systems, Genetic Algorithms, Metrics, Banking, Auto-Adaptive Interfaces

    Institutional audit : University of East London

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    Informatics Research Institute (IRIS) March 2007 newsletter

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    Collaborative Systems – Finite State Machines

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    In this paper the finite state machines are defined and formalized. There are presented the collaborative banking systems and their correspondence is done with finite state machines. It highlights the role of finite state machines in the complexity analysis and performs operations on very large virtual databases as finite state machines. It builds the state diagram and presents the commands and documents transition between the collaborative systems states. The paper analyzes the data sets from Collaborative Multicash Servicedesk application and performs a combined analysis in order to determine certain statistics. Indicators are obtained, such as the number of requests by category and the load degree of an agent in the collaborative system.Collaborative System, Finite State Machine, Inputs, States, Outputs
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