Perceptionis a scholarly journal reporting experimental results and theoretical ideas ranging over the fields of human. animal. and machine perception. Topics covered include physiological mechanisms and clinical neurological disturbances; psychological data on pattern and object perception in animals and man; the role of experience in developing perception; skills. such as driving and flying; effects of culture on perception and aesthetics; errors. illusions. and perceptual phenomena occurring in controlled conditions. with emphasis on their theoretical significance; cognitive experiments and theories relating knowledge to perception; development of categories and generalisations; strategies for interpreting sensory patterns in terms of objects by organisms and machines; special problems associated with perception of pictures and symbols; verbal and nonverbal skills; reading; philosophical implications of experiments and theories of perception for epistemology. aesthetics. and art.
*Perceptual and Motor Skills: experimental and theoretical articles dealing with perception or motor skills, especially as affected by experience; articles on general methodology; special reviews.*Submitted manuscripts are all subject to rigorous peer review by outside experts chosen for their knowledge in the particular topic and/or general expertise in design, method, and analysis. An attempt is made to balance critical editing with specific suggestions from the peer reviewers to meet high standards.*Controversial material of scientific merit is welcomed.
Performance Enhancement & Health is an international, peer-reviewed journal that critically explores the health implications of pharmacological, genetic, psychological and other technological enhancements of the human being. The journal is multi-disciplinary, examining the implications of performance enhancement on the human condition. Performance enhancement may be linked to productivity, identity, social capital or pleasure, while health is envisaged broadly as absence of disease, optimal functioning, and (personal or community) well-being.Manuscripts are submitted online via http://ees.elsevier.com/peh
Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions:Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniquesProvide new insights into the performance of computing and communication systemsIntroduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools.More specifically, common application areas of interest include the performance of:Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management)System architecture, design and implementationCognitive radioVANETsSocial networks and mediaEnergy efficient ICTEnergy harvestingData centersData centric networksSystem reliabilitySystem tuning and capacity planningWireless and sensor networksAutonomic and self-organizing systemsEmbedded systemsNetwork scienceFurther, common performance evaluation tools of interest include:queueing theoryscheduling theorysimulation methodsdata analysismeasurement techniques (e.g. software and hardware monitors) and workload characterizationstochastic geometrylarge deviationsmean-field theorygame theory and equilibrium analysisNote that the above lists are not all inclusive or restrictive and submissions with creative applications of performance evaluation tools outside of those above and/or applications outside of those above are also welcome.A variety of types of submissions are possible, including: original work, tutorials & surveys, news items and short communications.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com
Performance Measurement and Metrics is a leading double-blind refereed, international journal, charting new developments and techniques for libraries, museums and archives to assess their performance, value and impact.
Performance Research is a specialist journal that promotes a dynamic interchange between scholarship and practice in an expanding field of performance. Interdisciplinary in vision and international in scope, its emphasis is on research in contemporary performance arts within changing cultures.Performance Research is published in English and welcomes submissions in other languages. The Editors encourage work that challenges boundaries between disciplines and media. Each issue contains articles, documents, interviews, reviews as well as illustrations and original artworks.Performance Research acknowledges support from Centre for Performance Research, University of Aberystwyth; Dartington College of Arts, Devon, UK; Institute for Digital Arts & Technology (i-DAT), University of Plymouth.Disclaimer for scientific, technical and social science publications:Taylor & Francis makes every effort to ensure the accuracy of all the information (the 8220;Content8221;) contained in its publications. However, Taylor & Francis and its agents and licensors make no representations or warranties whatsoever as to the accuracy, completeness or suitability for any purpose of the Content and disclaim all such representations and warranties whether express or implied to the maximum extent permitted by law. Any views expressed in this publication are the views of the authors and are not the views of Taylor & Francis.