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Materials World is specifically devoted to the engineering materials cycle, from mining and extraction, through processing and application, to recycling and recovery. Editorially, it embraces the whole spectrum of materials and minerals – metals, plastics, polymers, rubber, composites, ceramics and glasses – with particular emphasis on advanced technologies, latest developments and new applications, giving prominence to the topics that are of fundamental importance to those in industry.

Materials and Manufacturing Processes deals with issues that result in better utilization of raw materials and energy, integration of design and manufacturing activities requiring the invention of suitable new manufacturing processes and techniques, unmanned production dependent on efficient and reliable control of various processes including intelligent processing, introduction of new materials in industrial production necessitating new manufacturing process technology, and more. Information is offered in various formats, including research articles, letter reports, review articles, conference papers, applied research, book and conference reviews, patent reports, and entire issues devoted to symposia. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

Materials at High Temperatures publishes peer reviewed contributions relating to high temperature applications in the power, chemical, engine, processing and furnace industries.

169;2010 Thomson Reuters, 2009 Journal Citation Reports174; ranks Mathematical Population Studies in the Demography (social science), Mathematical Methods (social science), Mathematics, Interdisciplinary Applications (science) and Statistics & Probability (science) categories.Mathematical Population Studies has been selected for the Social Sciences Citation Index, Science Citation Index Expanded, CC/Social & Behavioral Sciences, and the CompuMath Citation Index.Mathematical Population Studies publishes carefully selected research papers in the mathematical and statistical study of human populations. In addition, papers that deal with mathematical approaches to population science in broader contexts are welcome if they are, or should be, of interest to demographers. The journal is thus strongly interdisciplinary and invites contributions by mathematicians, demographers, (bio)statisticians, sociologists, economists, biologists, epidemiologists, actuaries, geographers, and others who are interested in the mathematical formulation of population-related questions.The scope covers both theoretical and empirical work. The journal serves as a forum for the exchange of views between researchers in academia, international organizations, research institutes, and statistical offices throughout the world. Short notes, letters, and reviews of computer software are welcome. Manuscripts should be sent in triplicate to any one of the editors (or to the Coordinating Editor), who after an initial screening, will have them reviewed. The editors have final say on the suitability for publication.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.

The international mathematics education community is maturing at a rapid and exciting rate. Although this community has developed its own research perspectives and theoretical frameworks, it continues to expand its horizons by drawing upon new theories and research in mathematics, psychology, sociology, philosophy, anthropology, and information technology. Mathematical Thinking and Learning is directed at researchers interested in mathematics education from any of these perspectives, with a particular focus on mathematical thinking, reasoning, and learning.This journal seeks high-quality articles that address one or more of the following topics: interdisciplinary studies on mathematical learning, reasoning or thinking, and their developments at all ages; technological advances and their impact on mathematical thinking and learning; studies that explore the diverse processes of mathematical reasoning; new insights into how mathematical understandings develop across the life span, including significant transitional periods; changing perspectives on the nature of mathematics and their impact on mathematical thinking and learning in both formal and informal contexts; studies that explore the internationalization of mathematics education, together with other cross-cultural studies of mathematical thinking and learning; and studies of innovative instructional practices that foster mathematical learning, thinking, and development. In addition to receiving research articles, the journal invites articles that present theoretical and philosophical analyses of issues related to the previous topics.Related Book: Handbook ofInternational Research in Mathematics Education (2nd Edition)Peer Review Policy: All research articles in this journal have undergone rigorous peer review based on initial editor screening and anonymous review by at least three reviewers.Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

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 articles in Measurement and Evaluation in Counseling and Development (MEC) range from theoretical and other problems of the measurement specialist to those directed to the administrator, the counselor, or the personnel worker--in schools and colleges, public and private agencies, business, industry, and government. All articles clearly describe implications for the counseling field and for practitioners in assessment, measurement, and evaluation.

Measurement in Physical Education and Exercise Science (MPEES) covers a wide variety of subjects in the area of measurement research in physical education and exercise science. Each journal section is devoted to theoretical and methodological issues in measurement and statistics. This journal is essential reading for anyone who has a use for quality measurement information in the fields of physical education and exercise science. Measurement in Physical Education and Exercise Science presents the best research, test reviews, tutorials, commentaries, and discussion of theoretical and methodological issues in measurement and statistics as they apply to this field of study.Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

Measurement is devoted to the interdisciplinary study of measurement in the human sciences. Each issue of the journal features a focus article, along with commentaries that embody dialogue and debate across multiple perspectives. The journal’s overarching theme is to promote the development, critique, and enrichment of the concepts and practices of measurement. Through peer commentary and authors’responses, Measurement provides an opportunity for discussion that is largely unavailable outside the specific authors and reviewers of a particular manuscript.

The focus articles (which may be single papers or sets of linked papers) address important issues in the field, and may be in one of the following genres:

• a report and/or discussion of empirical research with a broader scope and/or implication than found in other measurement-associated journals;
• a significant theoretical article that systematizes or gives new perspectives on a body of theory, research, and/or practice in measurement;
• a novel interpretation, synthesis, or critique of measurement work;
• a summary and commentary on a field of application of measurement that either is a significant contribution to measurement in that field, or which contains an important message for measurement work in general;
• a rigorous, evidence-based critique of measurement theory and practices from outside the discipline, or from within measurement.

This journal is intended for social scientists with an interest in the study of measurement, and its theory, application, and criticism, including psychometricians, sociometricians, mathematical psychologists, clinical psychologists, educational curriculum developers, policy researchers, educational and psychological test developers and assessment designers, and medical and public health professionals.

Please email your manuscript as an attachment to the Managing Editor in a standard format (e.g., Microsoft Word) to: kdraney@berkeley.edu. Alternatively, mail a disk copy to: Karen Draney, Managing Editor, Measurement: Interdisciplinary Research and Perspectives, Graduate School of Education, University of California, Berkeley, CA 94720, USA.

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Other technical areas of interest include high-speed computing, numerical methods, structural optimization, variational methods, stability, fatigue and fracture mechanics, plasticity, and related basic applied mechanics and mechanics-based design. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

The central aim of Mechanics of Advanced Materials and Structures is to promote the dissemination of significant developments and publish state-of-the-art reviews and technical discussions of previously published papers dealing with mechanics aspects of advanced materials and structures. Refereed contributions describing analytical, numerical and experimental methods and hybrid approaches that combine theoretical and experimental techniques in the study of advanced materials and structures will be published along with critical surveys of the literature and discussions of papers in the field. Contributions will range from new theories and formulations to analyses and novel applications. Emphasis will be placed on mechanics aspects and aspects at the interface of materials and mechanics issues. The journal will publish manuscripts dealing with the mechanics aspects (for example, the mechanical characterization, mathematical modeling, novel applications, and numerical simulation) of advanced materials and structures. Contributions may range from new methods to novel applications of existing methods to gain understanding of the material and/or structural behavior of new and advanced. Typical topic areas are: * Materials: Adhesives, ceramics, metal-matrix composites, and polymer-based composites; processing and manufacturing of composite; actuator/sensor (smart) materials and electromagnetic materials; and damage and failure mechanisms in material. * Structures: Basic structural elements such as beams, plates, and shells; structures with actuators/sensors (smart structures); active and passive control of structures; aerospace, automotive, and underwater structures; and adhesively bonded structures. * Methodologies: Mathematical formulation of the kinematic, constitutive, and structural behavior of materials and structures; experimental methods directed toward mechanical characterization, damage evolution, and failures in materials and structures; computational methods for the solution of micro-, meso-, macro-mechanics mathematical models; methods dealing with the determination of local effects; and novel computational approaches for material and structural modeling of new and advanced materials. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

Published since 1974, Media Asia is a scholarly journal that shares research-based findings and critical insights addressing contemporary media issues and communication challenges in Asia. The journal welcomes articles in either the social scientific or humanistic tradition and in any disciplinary orientation. Research articles are double-blind reviewed. In addition to publishing completed research, Media Asia also includes essays and opinion pieces for academics and practitioners to share ideas and help shape the agenda for communication scholarship, practice and policy.

Media Asia is a journal of the  Asian Media Information and Communication Centre (AMIC). It is housed editorially at Hong Kong Baptist University’s Centre for Media and Communication Research.

AMIC is a non-profit membership organisation established in 1971. Registered in Singapore, AMIC currently operates out of Manila, through the Philippines Women’s University and the Asian Institute of Journalism and Communication consortium.

Peer Review Integrity
All research manuscripts are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. All peer review is double-blind and submission is online via email to journal@mediaasia.info. Essays and opinion pieces are generally by invitation of the Editor.

Media History is an interdisciplinary journal which welcomes contributions addressing media and society from the fifteenth century to the present. Its perspective is both historical and international. It will explore all forms of serial publication in manuscript, print and electronic media and will encourage work which crosses the boundaries of politics, culture and communications. The journal includes contributions covering a wide area of Media History, and welcomes contributions from across the globe. Contributors are encouraged to submit illustrations where appropriate.Peer Review Policy:All articles in this journal have undergone editorial screening and peer review.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.