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Record Nr. |
UNINA9910783395703321 |
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Autore |
Corazza Eros |
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Titolo |
Reflecting the mind [[electronic resource] ] : indexicality and quasi-indexicality / / Eros Corazza |
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Pubbl/distr/stampa |
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Oxford, : Clarendon |
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New York, : Oxford University Press, 2004 |
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ISBN |
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1-281-90666-2 |
9786611906665 |
0-19-153363-7 |
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Descrizione fisica |
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1 online resource (383 p.) |
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Disciplina |
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Soggetti |
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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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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. [351]-362) and indexes. |
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Nota di contenuto |
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Contents; Introduction; Chapter 1: Language and Context; Chapter 2: Thought and Context; Chapter 3: A Multiple-Proposition Approach; Chapter 4: Demonstratives, Pure Indexicals, and Essential Indexicals; Chapter 5: The First-Person Pronoun; Chapter 6: Perspectival Thoughts and Psychological Explanation; Chapter 7: Empathy, Imagination, and Reports; Chapter 8: Anaphora, Logophoricity, and Quasi-Indexicality; Chapter 9: Quasi-Indexicality and Puzzling Reports; Conclusion; Bibliography; Index of Names; Index of Subjects |
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Sommario/riassunto |
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Eros Corazza presents a fascinating investigation of the role that indexicals (e.g. 'I', 'she', 'this', 'today', 'here') play in our thought. Indexicality is crucial to the understanding of such puzzling issues as the nature of the self, the nature of perception, social interaction, psychological pathologies, and psychological development. Corazza draws on work from philosophy, linguistics, and psychology to illuminate this key aspect of the relation between mind and world. By highlighting how indexical thoughts are irreducible and intrinsically perspectival, Corazza shows how we can depict so |
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2. |
Record Nr. |
UNINA9910409691203321 |
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Titolo |
Modern Trends in Diatom Identification : Fundamentals and Applications / / edited by Gabriel Cristóbal, Saúl Blanco, Gloria Bueno |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (294 pages) |
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Collana |
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Developments in Applied Phycology, , 2543-0602 ; ; 10 |
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Disciplina |
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Soggetti |
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Freshwater ecology |
Marine ecology |
Water |
Hydrology |
Plants - Evolution |
Biophysics |
Freshwater and Marine Ecology |
Plant Evolution |
Bioanalysis and Bioimaging |
Diatomees |
Taxonomia (Biologia) |
Llibres electrònics |
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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 contenuto |
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Part 1: Fundamentals -- Chapter 1: Introduction -- Chapter 2: Diatom Classifications: What Purpose Do They Serve? -- Chapter 3: Diatom Taxonomy And Identification Keys -- Chapter 4: Teratologies/Life Cycle/Ecotoxicology -- Part 2: Sensing -- Chapter 5: Microscope Lighting Techniques -- Chapter 6: Microscope Filtering Techniques -- Chapter 7: Automatization Techniques. Slide Scanning -- Part 3: Analysis -- Chapter 8: Segmentation -- Chapter 9: Feature Extraction And Classification -- Chapter 10: Multifocus And Hdr -- Chapter 11: 3d Imaging -- Chapter 12: Morphometrics -- Part 4: Applications -- Chapter 13: Water Quality Assessment -- Chapter 14: Diatoms In |
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Forensic Analysis -- Chapter 15: Benthic Foraminifera And Diatoms As Ecological Indicators. |
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Sommario/riassunto |
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High-resolution images of phytoplankton cells such as diatoms or desmids, which are useful for monitoring water quality, can now be provided by digital microscopes, facilitating the automated analysis and identification of specimens. Conventional approaches are based on optical microscopy; however, manual image analysis is impractical due to the huge diversity of this group of microalgae and its great morphological plasticity. As such, there is a need for automated recognition techniques for diagnostic tools (e.g. environmental monitoring networks, early warning systems) to improve the management of water resources and decision-making processes. Describing the entire workflow of a bioindicator system, from capture, analysis and identification to the determination of quality indices, this book provides insights into the current state-of-the-art in automatic identification systems in microscopy. . |
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