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Non-profit Journal: MIC is operated as a non-profit journal and the journal is to a large extent based on voluntary contributions from the editors and reviewers. Any income generated by the journal from author contributions and sponsors are only meant to cover the costs associated with running the journal. From 2009 the MIC articles are available for free download on the Internet, and MIC loses the income source from subscriptions. To compensate for this loss of income, MIC currently requires an author contribution of NOK 1000 per published article. Each author will receive a complimentary issue of the printed edition of MIC where the article appears. The publication fee will be adjusted annually to balance out the costs of running the journal.Review: Each submitted article will initially be reviewed by the editor and/or the editorial secretary. If the article passes the initial review, it will be reviewed in a second step by the closest discipline editor and two internationally recognised experts in the field. All reviews in MIC are anonymous and the journal strives to avoid any conflict of interest in the review process.

Modelling and Simulation in Engineering aims at providing a forum for the discussion of formalisms, methodologies and simulation tools that are intended to support the new, broader interpretation of Engineering. Competitive pressures of Global Economy have had a profound effect on the manufacturing in Europe, Japan and the USA with much of the production being outsourced. In this context the traditional interpretation of engineering profession linked to the actual manufacturing needs to be broadened to include the integration of outsourced components and the consideration of logistic, economical and human factors in the design of engineering products and services.Modelling and Simulation in Engineering intends to report leading-edge scientific contributions from mathematics, computer science, various sub-disciplines of engineering, management, psychology and cross-cultural communication, all of which focus on the modelling and simulation of human-centred engineering systems.Subject areas of Modelling and Simulation in Engineering include (but are not limited to):Mathematical formalisms of system modelling AnalyticalStochasticFuzzyGranularSet-membershipSimulation methodologies and tools Continuous simulationDiscrete and combined simulationStochastic simulationsGame and fuzzy game theoryFinite automataSimulation modellingOptimisation, verification and testingAgent-based simulationKnowledge and culture mining/processing Computation with information described in NLOntologies and knowledge modellingModel morphismsNL discourse analysisComplex systems modelling Qualitative modellingMulti-resolution modelling and simulationModelling abstractionsNumerical methods, algorithms and simulationsComputational Intelligence Neural networksFuzzy logicEvolutionary techniquesSoft computing for human interactionAmbient intelligence and ubiquitous computingSymbolic processingSimulation Visualisation Visualisation algorithmsVirtual and augmented realityVirtual prototypingTools and systems for visualisationFrontiers in HCMS Computational and physical limitationsApplications Interoperability of systems and applicationsCase studies and best practicesSocio-technical simulation (logistics, transportation, etc.).

Serving the multidisciplinary materials community, the journal aims to publish new research work that advances the understanding and prediction of material behaviour at scales from atomistic to macroscopic through modelling and simulation.Subject coverageModelling and/or simulation across materials science that emphasizes fundamental materials issues advancing the understanding and prediction of material behaviour. Interdisciplinary research that tackles challenging and complex materials problems where the governing phenomena may span different scales of materials behaviour, with an emphasis on the development of quantitative approaches to explain and predict experimental observations. Material processing that advances the fundamental materials science and engineering underpinning the connection between processing and properties. Covering all classes of materials, and mechanical, microstructural, electronic, chemical, biological, and optical properties.

An international, multidisciplinary, academic journalMolecular Simulation covers all aspects of research related to, or of importance to, molecular modelling and simulation (including informatics, theoretical and experimental work).Molecular Simulation exists to bring together the most significant papers concerned with applications of simulation methods, and original contributions to the development of simulation methodology from biology and biochemistry, chemistry, chemical engineering, materials and nanomaterials, medicine, physics and information science. The aim is to provide a forum in which cross fertilization between application areas, methodologies, disciplines, as well as academic and industrial researchers can take place and new developments can be encouraged.Molecular Simulation is of interest to all researchers using or developing simulation methods (for example those based on statistical mechanics) and to those experimentalists, theorists and information scientists who wish to use simulation data or address a simulation audience.All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymized refereeing by at least two expert referees.DisclaimerTaylor & Francis makes every effort to ensure the accuracy of all the information (the "Content") 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.

Molecular systems biology is an integrative discipline that seeks to explain the properties and behaviour of complex biological systems in terms of their molecular components and their interactions.Molecular Systems Biology is a peer-reviewed author-pays online journal that publishes full-length papers and accompanying synopses describing original research in the field of molecular systems biology and which focuses on the analysis, integration and modeling of molecular and cellular phenomena. Since molecular systems biology relies on a variety of computational and high-throughput technologies, the journal makes full use of the online to allow reader interaction with data and models presented in the published articles.Topics falling within the scope of the journal include, but are not limited to:* Proteomics* Metabolomics* Functional genomics* Structural genomics* Transcriptomics* Computational biology* Bioinformatics* Theoretical biology* Synthetic biologyMolecular Systems Biology aims to provide:The most integrative coverage: Molecular Systems Biology facilitates the integration of the individual subject areas that make up the overall field of molecular systems biology by ensuring that all research papers are accessible to all readers. This is done in three main ways:* All papers have a brief 'synopsis', which explains the findings and significance of the research. These will be written by the authors, with help from in-house editorial staff* Many papers are covered by News and Views articles. These are written by experts in the field and aim to place the research in a broader context* Rich linking from papers allows readers access to related databases and other web resourcesA forum for setting standards: The world-class Senior Editors and editorial board of Molecular Systems Biology will enable the journal to become a forum for the publication of papers that set the standards in this emerging field. Papers that aim to do this will be given special consideration, and readers will be encouraged to comment on the journal's 'feedback forum'.Unparalleled editorial support: No other journal in the field of systems biology offers the same level of editorial support as Molecular Systems Biology. Our in-house PhD-qualified editorial staff will work with the authors of all research papers to ensure that the synopses and manuscripts are as accessible and readable as possible, and they will commission accompanying 'News & Views' and review articles.The latest technological developments: Molecular Systems Biology is first journal from the Nature Publishing Group stable to accept data in the systems biology mark-up language (SBML) format. The journal also features:* RSS alerts for instant notification when new papers are published.

Founded in 1890, Monatshefte für Mathematik is devoted to research in mathematics in its broadest sense.The journal publishes research papers of general interest in all areas of mathematics. Surveys of significant developments in the fields of pure and applied mathematics and mathematical physics may be occasionally included. The journal is of interest to all research mathematicians.

The journal publishes original papers of high scientific value in all areas of computational mathematics and cybernetics at the interface between applied mathematics, numerical computation, and applications. Papers that describe and analyze new computational techniques for solving scientific or engineering problems are especially welcome.

The journal publishes original articles and brief communications in various areas of theoretical and applied mathematics including mathematical analysis: theory of functions and functional analysis: algebra, geometry and topology: differential equations: mathematical physics: numerical mathematics: probability theory, mathematical statistics: random processes: optimal control: mathematical logic: theory of algorithms: numbers theory: discrete mathematics: and mathematical cybernetics.

Multibody System Dynamics provides a unique single vehicle for reporting significant developments in all areas of multibody system dynamics. The journal explores theoretical and computational methods in rigid and flexible multibody systems, their applications, and experimental procedures used to validate the theoretical foundations. The journal’s research papers address the issues of new formulations, solution algorithms, computational efficiency, analytical and computational kinematics, synthesis, flexibility effects, control, optimization, real-time simulation, parallel computations, workspace and path planning, reliability, and durability. Fields such as vehicle dynamics, aerospace technology, robotics and mechatronics, machine dynamics, crashworthiness, biomechanics, computer graphics, and system identification are also examined when the topic is relevant to multibody system dynamics.

Multidimensional Systems and Signal Processing publishes research and selective surveys papers ranging from the fundamentals to important new findings. The journal responds to and provides a solution to the widely scattered nature of publications in this area, offering unity of theme, reduced duplication of effort, and greatly enhanced communication among researchers and practitioners in the field.A partial list of topics addressed in the journal includes multidimensional control systems design and implementation;  multidimensional stability and realization theory; prediction and filtering of multidimensional processes; Spatial-temporal signal processing; multidimensional filters and filter-banks; array signal processing; and applications of multidimensional systems and signal processing to areas such as healthcare and 3-D imaging techniques.

An international journal for the latest research and developments on multidiscipline modelling in materials and structures from both traditional and interdisciplinary subject areas

Centered around multiscale phenomena, Multiscale Modeling and Simulation (MMS) is an interdisciplinary journal focusing on the fundamental modeling and computational principles underlying various multiscale methods. By its nature, multiscale modeling is highly interdisciplinary, with developments occurring independently across fields. A broad range of scientific and engineering problems involve multiple scales. Traditional monoscale approaches have proven to be inadequate, even with the largest supercomputers, because of the range of scales and the prohibitively large number of variables involved. Thus, there is a growing need to develop systematic modeling and simulation approaches for multiscale problems. MMS will provide a single broad, authoritative source for results in this area. MMS bridges the growing gap in communication between mathematics, chemistry, physics, engineering, computer science, environmental science, and more.

Multivariate Behavioral Research (MBR) publishes a variety of substantive, methodological, and theoretical articles in all areas of the social and behavioral sciences. Most MBR articles fall into one of two categories. Substantive articles report on applications of sophisticated multivariate research methods to study topics of substantive interest in personality, health, intelligence, industrial/organizational, and other behavioral science areas. Methodological articles present and/or evaluate new developments in multivariate methods, or address methodological issues in current research. We also encourage submission of integrative articles related to pedagogy involving multivariate research methods, and to historical treatments of interest and relevance to multivariate research methods. Please email your manuscript as an attachment in either, Microsoft Word (.doc) or pdf file format to: jrodgers@ou.edu. Alternatively, you may also mail a disk copy to: Joseph Lee Rodgers, Department of Psychology, 455 West Lindsey Street, University of Oklahoma, Norman, OK 73019, USA. For queries about submitting, call (+1) 405-325-4591 or email Joseph Lee Rodgers at the email adress above. RELATED LINKS * Research Methods books * Research Methods conferences * Join the Psychology Press Research Methods mailing list!Peer Review Policy: All review papers in this journal have undergone editorial screening and peer review. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.