Journal Guide

ACM, the world’s largest educational and scientific computing society, delivers resources that advance computing as a science and a profession. ACM provides the computing field's premier Digital Library and serves its members and the computing profession with leading-edge publications, conferences, and career resources.

AStA - Advances in Statistical Analysis, a journal of the German Statistical Society, is published quarterly and presents original contributions on statistical methods and applications and review articles.AStA - Advances in Statistical Analysis has three designated sections: Statistical Applications:The Statistical Application section provides a forum for innovative use of statistical modeling and analysis techniques in a wide range of application areas. Traditionally, economic and social science are at home at AStA, but submissions with other fields of application such as technology, engineering or ecology are also strongly encouraged. Statistical Methodology:The Statistical Methodology section publishes original articles on statistical theory and methodological developments. The contributions should provide novel material. Articles on probability or formal methods are welcome if they take a statistical or practical problem as a starting point. Statistical Reviews:The Statistical Review section welcomes

Computational mechanics, Theoretical and applied mechanics, Advanced modeling, Simulation of materials, Numerical analysis, CSMA

Applied Mathematical Modelling is a monthly publication focusing on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.Also please visit Applied Mathematical Modelling’s Electronic service at: http://www.elsevier.com/locate/apm.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

Applied Stochastic Models in Business and Industry (formerly Applied Stochastic Models and Data Analysis ) was first published in 1985, publishing contributions in the interface between stochastic modelling, data analysis and their applications in business, finance, insurance, management and production. The main objective is to publish papers, both technical and practical, presenting new results which solve real-life problems or have great potential in doing so. A second objective is to present new methods for solving such problems, i.e. optimization, data base management, knowledge acquisition, expert systems, computer-aided decision supports and neural computing. The scope of the journal is now broadened both in supporting topics and in appropriate methodology. Topics to be added include managerial processes, reliability, quality control, data analysis and data mining. New methodologies include wavelets, Markov-chain Monte Carlo methods and spatial statistics.

BMC Systems Biology is an open access journal publishing original peer-reviewed research articles in experimental and theoretical aspects of the function of biological systems at the molecular, cellular or organismal level, in particular those addressing the engineering of biological systems, network modeling, quantitative analyses and the integration of different levels of information.

BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.The categories and topics listed below are examples, the editors will be happy to comment on the relevance of other topics:Molecular EvolutionSelf-organizing and self-replicating systemsOrigins and evolution of the genetic mechanismBiological Information ProcessingMolecular recognitionCellular controlNeuromolecular computingBiological adaptabilityMolecular computing technologiesEvolutionary SystemsStochastic evolutionary algorithmsEvolutionary optimizationSimulation of genetic and ecological systemsApplications (neural nets, machine learning, robotics)Please bookmark this page as: http://www.elsevier.com/locate/bioFor more information/suggestions/comments please contact AuthorSupport@elsevier.com

Biology Direct considers original research articles, hypotheses, comments, discovery notes and reviews in selected subject areas, and will eventually cover the full spectrum of biology. Subject areas already launched include: Genomics, Bioinformatics and Systems Biology - Edited by Eugene Koonin, Laura Landweber, & David Lipman Immunology - Edited by Neil S Greenspan & David R Kaplan Mathematical Biology - Edited by Marek Kimmel

Biomechanics and Modeling in Mechanobiology promotes basic and applied research that integrate knowledge in the allied fields of biomechanics and mechanobiology. The journal highlights approaches that are experimental, theoretical, or computational and that address phenomena at the nano, micro, or macro levels. This journal focuses on investigations that quantify the mechanical environment in health, disease, or injury, or identify and quantify mechanosensitive responses and their mechanisms. The journal also focuses on papers that detail interrelations between mechanics and biological processes or report discoveries that advance therapeutic and diagnostic procedures. Analytical and computational models based on solid mechanics, fluid mechanics, or thermomechanics and their interactions are strongly emphasized. In addition, the journal encourages reports on new experimental methods that expand measurement capabilities and new mathematical methods that facilitate analysis.

CPT: Pharmacometrics & Systems Pharmacology is a cross-disciplinary journal devoted to publishing advances in quantitative (e.g. modeling and simulation) methods as applied in pharmacology, physiology and therapeutics in humans. The journal welcomes original research articles in the following areas: pharmacometrics, modeling and simulation as applied to the design and evaluation of clinical trials, systems pharmacology modeling, particularly with a mechanistic link to human physiology, disease modeling, “population” or mixed-effects pharmacokinetics and pharmacodynamics modeling, physiologically-based pharmacokinetics (PBPK), model-based meta-analyses of clinical trials, pharmacokinetic-pharmacodynamic modeling, computational pharmacology, comparative efficacy, effectiveness and cost-effectiveness. Systems pharmacology may involve the application of systems biology approaches to study drug activities, targets and effects. The discipline is often defined with reference to engineering and pharmacological principles as the quantitative analysis of the dynamic interactions between drugs and a biologic system that aims to understand the behavior of the system as a whole. The common focus will be on quantitative methods that improve our understanding of pharmacology and therapeutics in humans.

The international journal Celestial Mechanics and Dynamical Astronomy is concerned with the broad topic of celestial mechanics and its applications, as well as with peripheral fields. The papers published in Celestial Mechanics and Dynamical Astronomy include treatments of the mathematical, physical and computational aspects of planetary theory, lunar theory, general and special perturbation theory, ephemerides, resonance theory, geodesy of the Earth and the planets, dynamics, the 3-body problem, the n-body problem, space mechanics, ring systems, galactic dynamics, reference frames, time, relativity, nongravitational forces, computer methods, computer languages for analytical developments, and database management. Celestial Mechanics and Dynamical Astronomy is the journal of record in its field and is an indispensable component of reference libraries on Dynamical Astronomy, Astrodynamics and Dynamical Systems.

The field of cellular and molecular bioengineering seeks to understand, so that we may ultimately control, the mechanical, chemical, and electrical processes of the cell.  A key challenge in improving human health is to understand how cellular behavior arises from molecular-level interactions.  CBME, an official journal of the Biomedical Engineering Society, publishes original research and review papers in the following seven general areas:

Molecular: DNA-protein/RNA-protein interactions, protein folding and function, protein-protein and receptor-ligand interactions, lipids, polysaccharides, molecular motors, and the biophysics of macromolecules that function as therapeutics or engineered matrices, for example.

Cellular: Studies of how cells sense physicochemical events surrounding and within cells, and how cells transduce these events into biological responses.  Specific cell processes of interest include cell growth, differentiation, migration, signal transduction, protein secretion and

Clinical Simulation in Nursing is an international, peer reviewed journal published online monthly. Clinical Simulation in Nursing is the official journal of the International Nursing Association for Clinical and Simulated Learning (INACSL) and the Association of Standardized Patient Educators (ASPE). The journal will review and accept articles from other health provider disciplines, if they are determined to be of interest to our readership. The journal accepts manuscripts meeting one or more of the following criteria:Research articles and systematic reviews using simulation and/or standardized patients;Practice articles using simulation and/or standardized patients;Innovative teaching/learning strategies developed through simulation and technology;Innovative implementation and management strategies for simulation within practice and academic centers; andArticles updating knowledge, guidelines, regulations, and legislative policies that impact nursing and health care education and practice.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

Coastal Engineering Journal is a peer-reviewed medium for the publication of research achievements and engineering practices in the fields of coastal, harbor and offshore engineering. The CEJ editors welcome original papers and comprehensive reviews on waves and currents, sediment motion and morphodynamics, as well as on structures and facilities. Reports on conceptual developments and predictive methods of environmental processes are also published. Topics also include hard and soft technologies related to coastal zone development, shore protection, and prevention or mitigation of coastal disasters. The journal is intended to cover not only fundamental studies on analytical models, numerical computation and laboratory experiments, but also results of field measurements and case studies of real projects.

Combustion Theory and Modelling is devoted to the application of mathematical modelling, numerical simulation and experimental techniques to the study of combustion. Experimental studies that are published in the Journal should be closely related to theoretical issues, by highlighting fundamental theoretical questions or by providing a sound basis for comparison with theory. Articles can cover a wide range of topics, such as: premixed laminar flames, laminar diffusion flames, turbulent combustion, fires, chemical kinetics, pollutant formation, microgravity, materials synthesis, vapour deposition, catalysis, droplet and spray combustion, detonation dynamics, thermal explosions, ignition, energetic materials and propellants, burners and engine combustion. A wide range of mathematical methods may also be used, including large scale numerical simulation, hybrid computational schemes, front tracking, adaptive mesh refinement, optimized parallel computation, asymptotic methods and singular perturbation techniques, bifurcation theory, optimization methods, dynamical systems theory, cellular automata and discrete methods and probabilistic and statistical methods.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.