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    The diverse group of authors is proactively working in the LCA field, in methodology development, data provision, data compiling, or product optimization and communication.

    The authors' respective affiliations apply, assess, and support LCA; they use it as a decision support and communication tool in their organizations or along value and process chains and to discuss with stakeholders.

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    For most Java Script apps, runtime type casting is all you need. Static typing was designed for the good old days when network interaction was an afterthought in programming.

    Life cycle assessment (LCA) is recognized as a trustworthy, scientific while understandable approach to address the environmental sustainability of human activities.

    In SGML applications, it's common (and the point of using SGML in the first place) to define custom DTDs containing application-specific grammar and processing rules, including for generic HTML applications such as outlining, metadata extraction, search result formatting, paging, templating, etc.

    With several thousand datasets relating to society, both historical and contemporary, our Archive is a vital resource for researchers, teachers and learners.

    We acquire high quality data from the academic, public, and commercial sectors, providing continuous access to these data while we also support existing and emerging and communities of data users.

    However, LCA application in practice must fulfill three basic criteria: (1) It must be reliable in order to ensure the credibility of information and results generated, (2) it must fit into existing information routines and practices in business to ensure applicability, and (3) it must provide quantitative and relevant information to inform decision makers.

    Over the last two decades, LCA methodology and related data have become a suitable and professional tool to address and beneficially influence environmental aspects of sustainability of virtually all anthropogenic activities.

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