Journal Guide

Founded in 1963, Medical & Biological Engineering & Computing (MBEC) continues to serve the biomedical engineering community, covering the entire spectrum of biomedical and clinical engineering. The journal presents exciting and vital experimental and theoretical developments in biomedical science and technology, and reports on advances in computer-based methodologies in these multidisciplinary subjects. The journal also incorporates new and evolving technologies including cellular engineering and molecular imaging. MBEC publishes original research articles as well as reviews and technical notes. Its Rapid Communications category focuses on material of immediate value to the readership, while the Controversies section provides a forum to exchange views on selected issues, stimulating a vigorous and informed debate in this exciting and high profile field.MBEC is an official journal of the International Federation of Medical and Biological Engineering (IFMBE).

Recent advances in wireless technology have led to mobile computing, a new dimension in data communication and processing. Many predict a new emerging, gigantic market with millions of mobile users carrying small, battery-powered terminals equipped with wireless connection, and as a result, the way people use information resources is predicted to be radically transformed.Mobile Information Systems (MIS) presents visionary concepts and stimulating ideas in mobile information systems at both the theory and application levels. The objectives of the journal are to be a source for mobile information systems research and development, and to serve as an outlet for facilitating communication and networking among mobile information systems researchers, practitioners, and professionals across academics, government, industry and students. The journal is published multiple times a year, with the purpose of providing a forum for state-of-the-art development and research, as well as current innovative activities in mobile information systems. The main goal will be to provide timely dissemination of information.

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.

Aims and Scope Download Flyer Molecular Informaticsis a peer-reviewed. international forum for publication of high-quality. interdisciplinary research on all molecular aspects of bio/cheminformatics and computer-assisted molecular design.Molecular InformaticssucceededQSAR and Combinatorial Science(2009 Journal Impact Factor: 3.027) in 2010. Molecular Informaticspresents methodological innovations that will lead to a deeper understanding of ligand-receptor interactions. macromolecular complexes. molecular networks. design concepts and processes that demonstrate how ideas and design concepts lead to molecules with a desired structure or function. preferably including experimental validation. The journal"s scope includes but is not limited to the fields of drug discovery and chemical biology. protein and nucleic acid engineering and design. the design of nanomolecular structures. strategies for modeling of macromolecular assemblies. molecular networks and systems. pharmaco- and chemogenomics. computer-assisted screening strategies. as well as novel technologies for the de novo design of biologically active molecules. As a unique featureMolecular Informaticspublishes so-called 'Methods Corner' review-type articles which feature important technological concepts and advances within the scope of the journal. ISSN: 1868-1743 (print). 1868-1751 (online). Volume 30. 12 Issues in 2011. Masthead Masthead(PDF) –[Show history][Hide history] How to cite:To make sure that references to this journal are correctly recorded and resolved (for example in CrossRef or ISI Web of Science). please use the following abbreviated title in any citations: 'Mol. Inf.' (punctuation may vary according to the style of the citing journal).

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.

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.

Natural Computing refers to computational processes observed in nature, and human-designed computing inspired by nature. When complex natural phenomena are analyzed in terms of computational processes, our understanding of both nature and the essence of computation is enhanced. Characteristic for human-designed computing inspired by nature is the metaphorical use of concepts, principles and mechanisms underlying natural systems. Natural computing includes evolutionary algorithms, neural networks, molecular computing and quantum computing. The journal Natural Computing provides a forum for discovery in natural computing, offering links among researchers and insight into trends in an emerging specialty. The journal reports on theory, experiments, and applications, and covers natural computing from a very broad perspective, including use of algorithms to consider evolution as a computational process, and neural networks in light of computational trends in brain research. Now indexed in ISI.

Launched in January 2017, Nature Biomedical Engineering publishes original research, reviews and commentary of high significance to the biomedical engineering community, including bench scientists interested in devising materials, methods, technologies or therapies to understand or combat disease; engineers designing or optimizing medical devices and procedures; and clinicians leveraging research outputs in biomedical engineering to assess patient health or deliver therapy across a variety of clinical settings and healthcare contexts.

Like all Nature-branded journals, Nature Biomedical Engineering is run by a dedicated team of professional editors, and provides fair and rigorous peer review, high standards of copy-editing and production, swift publication and editorial independence.

NHM is a quarterly publication in March, June, September and December. It is now online only. To submit, send a pdf directly to the Editor in Chief, Benedetto Piccoli, at nhmaims@camden.rutgers.edu. NHM offers a strong combination of three features: Interdisciplinary character, specific focus, and deep mathematical content. Also, the journal aims to create a link between the discrete and the continuous communities, which distinguishes it from other journals with strong PDE orientation. NHM publishes original contributions of high quality in networks, heterogeneous media and related fields. NHM is thus devoted to research work on complex media arising in mathematical, physical, engineering, socio-economical and bio-medical problems. NHM is covered in Science Citation Index Expanded, CompuMath Citation Index, Current Contents/Engineering, Computing, and Technology ISI Alerting Services.

Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered.Neurocomputing welcomes theoretical contributions aimed at winning further understanding of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition.Neurocomputing covers practical aspects with contributions on advances in hardware and software development environments for neurocomputing, including, but not restricted to, simulation software environments, emulation hardware architectures, models of concurrent computation, neurocomputers, and neurochips (digital, analog, optical, and biodevices).Neurocomputing reports on applications in different fields, including, but not restricted to, signal processing, speech processing, image processing, computer vision, control, robotics, optimization, scheduling, resource allocation and financial forecasting.Neurocomputing publishes reviews of literature about neurocomputing and affine fields.Neurocomputing reports on meetings, including, but not restricted to, conferences, workshops and seminars.Neurocomputing reports on functionality/availability of software, on comparative assessments, and on discussions of neurocomputing software issues.Now also including: Neurocomputing Letters - for the rapid publication of special short communications.

Recognizing the world is full of vagueness and uncertainty, this journal has chosen three very focused areas of research:

The New Review of Hypermedia and Multimedia provides a focus for research and a source of information on practical and theoretical developments in hypermedia, hypertext, interactive multimedia and related technologies. These highly innovative systems allow the integration of images, sound, text and data to form powerful tools for information retrieval; by linking multimedia with mass storage, they can provide users with a more diverse and richly textured information environment. The New Review of Hypermedia and Multimedia covers the following key themes: the conceptual basis of hypertext systems; cognitive aspects; design strategies; intelligent and adaptive hypermedia; automatic authoring; personalisation, knowledge organization systems and services; the semantic web; Web 2.0; link metrics; link dynamics; time and synchronisation; multimedia authoring tools; navigation and browsing; search systems; content-based retrieval; studies of information seeking behaviour; testing and evaluation; user interfaces; multi-modal interaction; experience design; web accessibility; physical hypermedia; virtual environments; literary and creative hypermedia; applications in e-learning, information management, digital libraries, social networking, publishing, commerce, the professions and public administration.The New Review of Hypermedia and Multimedia appears in both print and digital format.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.

Nonlinear Analysis: Hybrid Systems welcomes all important research and expository papers in the area of hybrid dynamic systems, i.e., systems involving the interplay between discrete and continuous dynamic behaviors.Computer and embedded reactive control systems which includes discrete switching logic and event-driven interactions with continuous systems are ubiquitous in everyday life. These systems become increasingly complex and difficult to design and to verify while the requirements for dynamics performances and safety are also increasing. The development of systematic methods for efficient and reliable design of hybrid systems is a key issue in control technology and industrial information, and thus it is currently of high interest to control engineers, computer scientists and mathematicians in research institutions as well as in many industrial sectors.Contributions are invited in all areas pertaining to hybrid dynamic systems including: Modeling, modeling languages and specification; Analysis, computability and complexity; Stochastic systems; Impulsive systems; Verification; Abstraction; Optimization; Control synthesis and real-time control; Computation and control over networks; Neural or fuzzy approaches to hybrid systems; Synchronization of oscillators and chaotic systems; Fault diagnosis and dependability; Simulation, implementation and tools.Contributions on applications of hybrid dynamic systems methods are also encouraged. Fields of interest include: process industry, automotive, avionics, communication networks, energy systems, transportation networks, embedded systems, biology and other sciences, manufacturing and robotics.