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                <text>The Internet, personal devices and multicore computers have greatly changed and enhanced our lives by allowing us to access information and entertainment ondemand anytime, anywhere. While these technologies are great on their own merit,&#13;
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Historically, text-based high-level programming languages provided the first&#13;
productive alternative to develop targeted applications. As more networked&#13;
computing platforms enter the mainstream, the programming complexities of text&#13;
based languages becomes a limiting factor, especially for domain experts who are&#13;
typically not programming or computer science experts. The G programming language provides the next generation programming alternative allowing users to develop interactive parallel programs whether they have extensive programming experience or not. It's graphical syntax and constructs allow researchers, teachers, students and even children to program complex devices and systems in minutes rather than hours, days or even months.&#13;
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other industries. In general, G is used in Science, Technology, Engineering and Math&#13;
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development environments. It is strictly a concise G syntax. Additionally, the user must have access to National Instruments LabVIEW and be familiar with LabVIEW basics. Nonetheless, the user should be able to read along to learn and understand the&#13;
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                <text>This module will enable you to understand various wireless technologies, especially&#13;
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                <text>Project success is widely covered, and the discourse on project complexity is proliferating. The purpose of this book is to merge and investigate the two concepts within the context of information system (IS) projects and understand the symbiosis between success and complexity in these projects. In this original and innovative research, exploratory modelling is employed to identify the aspects that constitute the success and complexity of projects based on the perceptions of IS project participants. This scholarly book aims at deepening the academic discourse on the relationship between the success and complexity of projects and to guide IS project managers towards improved project performance through the complexity lens. The research methodology stems from the realisation that the complexity of IS projects and its relationship to project success are under-documented. A post positivistic approach is applied in order to accommodate the subjective interpretation of IS-project participants through a quantitative design. The researchers developed an online survey strategy regarding literature concerning the success and complexity of projects. The views of 617 participants are documented. In the book, descriptive statistics and exploratory factor analysis pave the way for identifying the key success and complexity constructs of IS projects. These constructs are used in structural-equation modelling to build various validated and predictive models. Knowledge concerning the success and complexity of projects is mostly generic with little exposure to the field of IS project management. The contribution to current knowledge includes how the success of IS projects should be considered as well as what the complexity constructs of IS projects are. The success of IS projects encompasses strategic success, deliverable success, process success and the ‘unknowns’ of project success. The complexity of IS projects embodies organisational complexity, environmental complexity, technical complexity, dynamics and uncertainty. These constructs of success and complexity are mapped according to their underlying latent relationships to each other. The intended audience of this book is fellow researchers and project and IS specialists, including information technology managers, executives, project managers, project team members, the project management office (PMO), general managers and executives that initiate and conduct project-related work. The work presented in this first edition of the book is original and has not been plagiarised or presented before. It is not a revised version of a thesis or research previously published. Comments resulted from the blind peer review process were carefully considered and incorporated accordingly.</text>
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                <text> Carl Marnewick, </text>
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              <elementText elementTextId="7012">
                <text>Rika Zulfia</text>
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                <text>Writing, Medium, Machine: Modern Technographies is a collection of thirteen essays by leading scholars which explores the mutual determination of forms of writing and forms of technology in modern literature. The essays unfold from a variety of historical and theoretical perspectives the proposition that literature is not less but more mechanical than other forms of writing: a transfigurative ideal machine. The collection breaks new ground archaeologically, unearthing representations in literature and film of a whole range of decisive technologies from the stereopticon through census-and slot-machines to the stock ticker, and from the Telex to the manipulation of genetic code and the screens which increasingly mediate our access to the world and to each other. It also contributes significantly to critical and cultural theory by investigating key concepts which articulate the relation between writing and technology: number, measure, encoding, encryption, the archive, the interface. Technography is not just a modern matter, a feature of texts that happen to arise in a world full of machinery and pay attention to that machinery in various ways. But the mediation of other machines has beyond doubt assisted literature to imagine and start to become the ideal machine it is always aspiring to be. Contributors: Ruth Abbott, John Attridge, Kasia Boddy, Mark Byron, Beci Carver, Steven Connor, Esther Leslie, Robbie Moore, Julian Murphet, James Purdon, Sean Pryor, Paul Sheehan, Kristen Treen.</text>
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