Journal Guide

Stem cell research, cloning, GMOs ... How do regulations affect such emerging technologies? What impact do new technologies have on law? And can we rely on technology itself as a regulatory tool?

Leonardo, founded in 1968, has become an international channel of communication for artists who use science and developing technologies in their work. With emphasis on the artists' writings, Leonardo is the leading international journal for readers interested in the application of contemporary science and technology in their work. The companion annual journal, Leonardo Music Journal (LMJ) features the latest in music, multimedia art, sound science and technology.

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The International Journal of Automation and Computing (IJAC) publishes papers on original theoretical and experimental research and development in automation and computing. The scope of the journal is extensive. Topics include but are not limited to: Artificial intelligence, Automatic control, Bio-informatics, Computer science, Information technology, Modelling and simulation, Networks and communications, Optimization and decision, Pattern recognition, Robotics, Signal processing, Systems engineering.

Sponsored by the International Association for Pattern Recognition, this journal publishes high-quality, technical contributions in machine vision research and development. Machine Vision and Applications features coverage of all applications and engineering aspects of image-related computing, including original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision. The journal places particular emphasis on the engineering and technology aspects of image processing and computer vision. It includes coverage of the following aspects of machine vision applications: algorithms, architectures, VLSI implementations, AI techniques and expert systems for machine vision, front-END sensing, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization.

Materials Advances is an international, gold open access journal, publishing high-quality research across the breadth of materials science. The journal accepts experimental or theoretical studies that report new understanding, applications, properties and synthesis of materials, building on and complementing the materials content already published across the Royal Society of Chemistry journal portfolio. Submissions are handled by our high profile associate editors, all of whom also look after submissions to Journal of Materials Chemistry A, B & C. The Materials Advances publishing experience comes with the reputation, standards, commitment and expertise you would expect from an RSC journal, plus the visibility boost that comes from being open access and part of the Journal of Materials Chemistry family.

Mathematical and Computer Modelling provides a medium of exchange for the diverse disciplines utilizing mathematical or computer modelling as either a theoretical or working tool. Equal attention is given to the mechanics, methodology and theory of modelling with an attempt to advocate either mathematical or computer modelling, or a combination of the two, in an integrative form. While the unifying aspect of the journal is its adherence to quantitative models, it seeks diversity by being concerned with a variety of disciplines, including engineering, biological, medical, environmental, social, behavioural and other sciences. Both theoretical and applied works which employ mathematical or computer modelling will be considered for publication. Papers dealing with experiments shall be considered when the results are presented as an integral part of the modelling process.

The analysis and improvement of performance in complex systems, the adaptation of plants to new demands or conditions, and the design of 'optimal' systems are a few of the challenges confronting engineers and systems scientists today. In many cases solutions to problems in areas such as these may be found through the use of appropriate mathematical models. The dynamic case, whether continuous time, discrete time of discrete-event, deterministic or stochastic, presents special challenges, and derivation of an appropriate solution depends strongly on the proper initial formulation of the goals and constraints. Increasingly this demands an interdisciplinary approach to modelling. Models can take the form of sets of equations, graphs or nets, or some combination of elements such as these. The derivation, combination, simplification and validation of models and sub-models are the main topics of Mathematical and Computer Modelling of Dynamical Systems, which provides an international forum for the presentation of new ideas in modelling and for the exchange of experience and knowledge through descriptions of specific applications. Original work will be published as regular papers or short notes dealing with a range of topics including the following:Processes and methods for model formulation, identification, development, reduction and validation etc. (including guidelines and check lists)Automation of modelling and software aid for modellingThe relationship between computational/simulation methods, the underlying mathematical formulation and real-world modelling problemsQualitative modelling including fuzzy and iterative approaches to modellingModular modelling (especially applied to interdisciplinary fields such as mechatronic or controlled environmental systems)Learning networks in modellingUncertainties in modellingThe relationship between the modelling approach and problem solutionsComparisons of methods for modelling, model reduction and model validationeffects of modelling errors on overall performance of engineering system (e.g. relationship between modelling and control design)Applications in the field of engineering systemsApplications in other fields (such as environmental systems, biotechnology etc.) provided the methods or ideas presented are relevant in a number of areas or are of interest from a theoretical point of viewCase studies allowing a comparison of ideas or methods Consequently, computer simulation and description of mathematical methods and/or algorithms are restricted to the field of modelling and to the consequences of modelling. Only the most important facts about the latter should be discussed but not all the details of modelling languages or about mathematical methods and/or algorithms which is used to solve the task for which the (simulation) model was created. Modelling of the task including the modelling of the dynamic system, of restrictions, of goals etc. and the implications of the model used on solution and on solution methods are of primary interest.Therefore, papers dealing with applications are accepted only when the purpose of the model, the assumptions (explicit and implicit) made in its development and the precise process of model validation are discussed carefully. Authors are requested to concentrate an those aspects which are of interest to a large community of engineers and scientists and to organize the paper so that it is stimulating and easily readable for engineers and scientists working in a wide range of application areas. Further, a manuscript should be self-contained without being lengthy i.e. its contents should be able to be understood by readers that are not experts in that specific area of application and without consulting many articles in the literature.INCREASED 2009 5-year Impact Factor: 0.623169; 2010 Thomson Reuters, 2009 Journal Citation Reports174;ReadershipEngineers - especially electrical and control engineers, aerospace engineers, mechanical engineers, marine and offshore engineers, chemical engineers, safe engineers and civil engineers, mathematicians and computer scientists who are involved with applications of mathematical and computer modelling in the physical sciences, in biology, in medicine, in ecology and in other fields such as economics. All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.DisclaimerTaylor & 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.

The following institutions are supporting MOR in various ways: The Technion, IBM Research Division, Alfred Renyi Institute, Tel Aviv University, Stanford University, Tokyo Institute of Technology, University of Washington.

Ongoing developments in mechanical, aeronautical and civil engineering and major changes brought about by advances in instrumentation and associated computing power necessitate the application and integration of techniques involving systems theory, signal processing, control theory and statistics. Mechanical Systems and Signal Processing (MSSP) provides a forum for the discussion of research covering these disciplines with an emphasis not only on fundamental theoretical advances but also balancing theoretical and experimental demonstration of new methodologies and techniques.MSSP publishes refereed papers of the highest quality reflecting the activities and interests of workers in academic and industrial research and development establishments. Especially sought are papers that include both theoretical and experimental aspects, or that include theoretical material of high relevance to practical applications. Papers showing mainly applications of established approaches will rarely be considered.It is a leader in its field, and the research areas covered include:• Diagnostics of mechanical systems/machines/components• Diagnostics/prognostics/machine learning• Structural dynamics, modal analysis (theoretical and experimental)• Structural health• Sensing/measurements/data acquisition• Signal processing: advances relevant to mechanical systems• System modeling and identification• Uncertainty and robust reliability of mechanical systems• Vibration monitoring and control• Rotor dynamics, rotating machinery• Noise source location and noise cancellation• Dynamic loading and force identification• Inverse problems• Machine and material dynamics, meta materials• Vibro-acoustic modeling, simulation, testing and validation• Automotive research.

This international journal provides a medium of communication between engineers and scientists engaged in research and development within the fields of knowledge embraced by IFToMM, the International Federation for the Promotion of Mechanism and Machine Science.The main topics are: • Design Theory and Methodology; • Haptics and Human-Machine-Interfaces; • Robotics, Mechatronics and Micro-Machines; • Mechanisms, Mechanical Transmissions and Machines; • Kinematics, Dynamics, and Control of Mechanical Systems;• Applications to Bioengineering and Molecular Chemistry.Methodologically, this includes theoretical, experimental, and/or historical approaches, along with their practical application, including education. Substantially, the journal aims at covering all subjects related to mechanisms and machines in general, such as: design theory and methodology, kinematics of mechanisms, rotor dynamics, computational kinematics, multibody dynamics, dynamics of machinery, nonlinear vibrations, linkages and cams, gearing and transmissions, transportation machinery, control and reliability of mechanical systems, including hydraulic and pneumatic systems, experimental test techniques, robots and robotic technologies, mechatronics, micromachines, human-machine interfaces, haptics, among others. Prospective fields of application of mechanism and machine science to other scientific areas such as bioengineering and molecular chemistry are also welcome.For more information on IFToMM, visit their home page on the Internet at www.iftomm.org.

Mechatronics is the synergistic combination of precision mechanical engineering, electronic control and systems thinking in the design of products and manufacturing processes. It relates to the design of systems, devices and products aimed at achieving an optimal balance between basic mechanical structure and its overall control. The purpose of this journal is to provide rapid publication of topical papers featuring practical developments in mechatronics. It will cover a wide range of application areas including consumer product design, instrumentation, manufacturing methods, computer integration and process and device control, and will attract a readership from across the industrial and academic research spectrum. Particular importance will be attached to aspects of innovation in mechatronics design philosophy which illustrate the benefits obtainable by an a priori integration of functionality with embedded microprocessor control. A major item will be the design of machines, devices and systems possessing a degree of computer based intelligence. The journal seeks to publish research progress in this field with an emphasis on the applied rather than the theoretical. It will also serve the dual role of bringing greater recognition to this important area of engineering.Mechatronics publishes the following types of papers:• Regular Articles should describe original research of high quality in the field of Mechatronics.• Review Articles will generally be specially commissioned, however, suggestions for topics and authors are welcomed by the Editor-in-Chief.•Technical Notes provide rapid publication of important new contributions.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