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Record Nr. |
UNINA9910136792203321 |
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Autore |
Marder Michael <1980-, > |
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Titolo |
The Chernobyl herbarium : fragments of an exploded consciousness / / Michael Marder; with artworks by Anaïs Toudeur |
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Pubbl/distr/stampa |
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Open Humanities Press, 2016 |
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London : , : Open Humanities Press, , 2016 |
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©2016 |
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ISBN |
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Edizione |
[First edition.] |
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Descrizione fisica |
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1 online resource (73 pages) : illustrations |
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Collana |
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Disciplina |
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Soggetti |
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Plants (Philosophy) |
Environmental ethics |
Chernobyl Nuclear Accident, Chornobylʹ, Ukraine, 1986 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Sommario/riassunto |
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We entrust readers with thirty fragments of reflections, meditations, recollections, and images — one for each year that has passed since the explosion that rocked and destroyed a part of the Chernobyl nuclear power station in April 1986. The aesthetic visions, thoughts, and experiences that have made their way into this book hover in a grey region between the singular and self-enclosed, on the one hand, and the generally applicable and universal, on the other. Through words and images, we wish to contribute our humble share to a collaborative grappling with the event of Chernobyl. Unthinkable and unrepresentable as it is, we insist on the need to reflect upon, signify, and symbolize it, taking stock of the consciousness it fragmented and, perhaps, cultivating another, more environmentally attuned way of living. |
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2. |
Record Nr. |
UNINA9910483423303321 |
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Autore |
Armaghani Danial Jahed |
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Titolo |
Applications of Artificial Intelligence in Tunnelling and Underground Space Technology / / by Danial Jahed Armaghani, Aydin Azizi |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (IX, 70 p. 16 illus., 15 illus. in color.) |
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Collana |
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SpringerBriefs in Applied Sciences and Technology, , 2191-5318 |
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Disciplina |
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Soggetti |
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Engineering geology |
Statistical physics |
Geotechnical engineering |
Mathematical statistics |
Manufactures |
Engineering mathematics |
Geoengineering |
Statistical Physics |
Geotechnical Engineering and Applied Earth Sciences |
Mathematical Statistics |
Machines, Tools, Processes |
Engineering Mathematics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Chapter 1. An Overview of Field Classifications to Evaluate Tunnel Boring Machine Performance -- Chapter 2. Empirical, Statistical and Intelligent Techniques for TBM Performance Prediction. Chapter 3. Developing Statistical Models for Solving Tunnel Boring Machine Performance Problem -- Chapter 4. A Comparative Study of Artificial Intelligence Techniques to Estimate TBM Performance in Various Weathering Zones. |
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Sommario/riassunto |
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This book covers the tunnel boring machine (TBM) performance classifications, empirical models, statistical and intelligent-based techniques which have been applied and introduced by the researchers in this field. In addition, a critical review of the available TBM |
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performance predictive models will be discussed in details. Then, this book introduces several predictive models i.e., statistical and intelligent techniques which are applicable, powerful and easy to implement, in estimating TBM performance parameters. The introduced models are accurate enough and they can be used for prediction of TBM performance in practice before designing TBMs. . |
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