Journal Guide

Free online access: Inaugural issue Taylor & Francis to launch International Journal of Image and Data Fusion from January 2010 International Journal of Image and Data Fusion provides a single source of information for all aspects of image and data fusion methodologies, developments, techniques and applications. Image and data fusion techniques are important for combining the many sources of satellite, airborne and ground based imaging systems, and integrating these with other related data sets for enhanced information extraction and decision making.Image and data fusion aims at the integration of multi-sensor, multi-temporal, multi-resolution and multi-platform image data, together with geospatial data, GIS, in-situ, and other statistical data sets for improved information extraction, as well as to increase the reliability of the information. This leads to more accurate information that provides for robust operational performance, i.e. increased confidence, reduced ambiguity and improved classification enabling evidence based management.This journal focuses on the theory, methodology and applications of image and data fusion, and encourages submission on a broad range of topics such as concept studies, new fusion techniques at different processing level, image and data fusion architectures, algorithms, and novel applications. Papers addressing fusion needs for data from new or planned platforms and sensors are specifically invited.The journal welcomes original research papers, review papers, shorter letters and technical articles in all areas of image and data fusion including, but not limited to, the following aspects and topics: Automatic registration/geometric aspects of fusing images with different spatial, spectral, temporal resolutions; phase information; or acquired in different modes;Pixel, feature and decision level fusion algorithms and methodologiesData Assimilation: fusing data with modelsMulti-source classification and information extractionIntegration of satellite, airborne and terrestrial sensor systemsFusing temporal data sets for change detection studies (e.g. for Global Change studies)Data fusion applications in fields such as mapping, natural hazard monitoring, environmental security, etc. Image and data mining from multi-platform, multi-source, multi-scale, multi-temporal data sets (e.g. geometric information, topological information, statistical information, etc.) All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees. STARTaylor & Francis/Routledge are committed to the widest possible dissemination of its journals to non-profit institutions in developing countries. Our STAR initiative offers individual researchers in Africa, South Asia and many parts of South East Asia the opportunity to gain one month's free online access to 1,300 Taylor & Francis journals. For more information, please visit the STAR website. 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.

Socio-Economic Planning Sciences is an international journal devoted exclusively to research in this important, but under-represented area. It provides a medium for research that might not appear in more specialized journals, either because of the interdisciplinary or applied character of the study, or the mathematical/quantitative nature of the research. The journal thus serves as a focus for investigations that have hitherto appeared in widely-scattered sources and/or less-than-appropriate sources.

Socio-Economic Planning Sciences strongly encourages contributions dealing with applications of quantitative models and techniques to important decision problems in the service and public sectors. Of particular interest are accounts of such studies carried out in developing countries and economically emerging regions of the world. Review articles in important methodological and substantive areas are also of interest.

The principal criterion used in evaluating a manuscript submitted to the journal is: uniqueness or innovation of the work in terms of the methodology being developed, and/or its application to a problem of particular importance in the public or service sector and/or the setting within which the effort is being made, e.g. an emerging region of the world. That is to say, of the model/methodology itself, the application, and the problem context, at least one of these must be unique and important.

Additional criteria considered in reviewing a submitted paper are its accuracy, the organization/presentation (i.e. logical flow), and writing quality.

Representative of the topic areas included in the journal are the following:

Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.

Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.

Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.

The Journal for General Philosophy of Science is a forum for the discussion of a variety of attitudes concerning the philosophy of science. It has as its subject matter the philosophical, especially methodological, ontological, epistemological, anthropological, and ethical foundations of the individual sciences. Particular emphasis is laid on bringing both the natural, the cultural, and the technical sciences into a philosophical context, within which the historical presuppositions and conditions of the current problems of the philosophy of science are also included in the discussion.

The Journal for General Philosophy of Science has been successful in its attempt to serve as a forum that bridges the gap between the different sciences, especially the natural, cultural, and social sciences. One of its purposes is to discuss and contrast the common as well as the different specific methodological and philosophical foundations of the individual sciences, taking into account all currently relevant positions of the philosophy of science.

In recent years considerable insight has been gained into the problems of current philosophy of science by considering the historical dimension of the sciences. This is why more intensive efforts will be made in the future towards the integration of historical and systematic considerations.

The journal contains:articles
discussions
reports on the state of the philosophy of science in individual countries
reviews
a bibliography of the major journals in the field of the history and philosophy of science. The journal is of interest to philosophers, especially philosophers of science, as well as to scholars from the field of the natural, cultural, social and technical sciences who are interested in becoming aware of the philosophical implications of their disciplines and in being stimulated by the transfer of methods, leading ideas, concepts and theories from other fields.<, br/>

Connection Science is an interdisciplinary scientific and technical journal that has, since 1989, been a focus for research on connectionist modelling and neural network learning in both living and artificial systems with an emphasis on cognition and AI. Papers on these traditional themes are still strongly encouraged. However, in 2002, in response to exciting new work in evolutionary methods and adaptive robotics, its scope was broadened to include computational research on all biologically inspired adaptive mechanisms as well as all areas of biologically inspired robotics research. Papers submitted to the journal may be of a practical nature including, but not restricted to, new adaptive methods, novel implementations of existing methods as well as empirical work that has a strong modelling or theoretical component in psychology, biology, neuroscience or biologically inspired robotics. Submissions may also be theoretical or philosophical. Review papers are welcomed and authors are encouraged to consult with the Editor-in-Chief if they are considering a submission. Disclaimer Taylor & 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.

American journal of Agricultural and Biological Sciences is a peer reviewed broad multidisciplinary journal that publish research/ review articles relating to general biology and agriculture.

physical activity, ageing, biomedical, behaviour