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1. |
Record Nr. |
UNINA9910779437603321 |
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Autore |
Lang Kenneth R. |
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Titolo |
The life and death of stars / / Kenneth R. Lang [[electronic resource]] |
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Pubbl/distr/stampa |
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Cambridge : , : Cambridge University Press, , 2013 |
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ISBN |
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9781139612227 |
9781107016385 |
1-139-61036-8 |
1-107-23516-2 |
1-139-60877-0 |
1-139-61222-0 |
1-139-61594-7 |
1-139-06102-X |
1-139-62524-1 |
1-283-87048-7 |
1-139-62152-1 |
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Descrizione fisica |
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1 online resource (xiv, 332 pages) : digital, PDF file(s) |
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Classificazione |
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Disciplina |
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Soggetti |
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Stars - Formation |
Stars - Evolution |
Stellar dynamics |
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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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Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
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Nota di bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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Light of the Sun -- Gravity and Motion -- Atomic and Subatomic Particles -- Transmutation of the Elements -- What Makes the Sun Shine? -- The Extended Solar Atmosphere -- Comparisons of the Sun with Other Stars -- The Lives of Stars -- The Material Between the Stars -- New Stars Arise from the Darkness -- Stellar End States -- A Larger, Expanding Universe -- Birth, Life, and Death of the Universe. |
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Sommario/riassunto |
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In this well-illustrated text, Kenneth R. Lang explains the life cycle of stars, from the dense molecular clouds that are stellar nurseries to the enigmatic nebulae some stars leave behind in their violent ends. Free of mathematical equations and technical jargon, Lang's lively and accessible text provides physical insights into how stars such as our |
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Sun are born, what fuels them and keeps them bright, how they evolve and the processes by which they eventually die. The book demonstrates the sheer scope and variety of stellar phenomena in the context of the universe as a whole. Boxed focus elements enhance and amplify the discussion for readers looking for more depth. Featuring more than 150 figures, including color plates, The Life and Death of Stars is a modern and up-to-date account of stars written for a broad audience, from armchair astronomers and popular science readers to students and teachers of science. |
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2. |
Record Nr. |
UNINA9910357851003321 |
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Titolo |
Advanced Data Mining and Applications : 15th International Conference, ADMA 2019, Dalian, China, November 21–23, 2019, Proceedings / / edited by Jianxin Li, Sen Wang, Shaowen Qin, Xue Li, Shuliang Wang |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (XVII, 893 p. 382 illus., 262 illus. in color.) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 11888 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer networks |
Computer engineering |
Computers |
Application software |
Artificial Intelligence |
Computer Communication Networks |
Computer Engineering and Networks |
Computing Milieux |
Computer and Information Systems Applications |
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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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Data Mining Foundations -- Classification and Clustering Methods -- Recommender Systems -- Social Network and Social Media -- Behavior Modeling and User Profiling -- Text and Multimedia Mining -- Spatial-Temporal Data -- Medical and Healthcare Data/Decision Analytics -- Other Applications. |
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Sommario/riassunto |
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This book constitutes the proceedings of the 15th International Conference on Advanced Data Mining and Applications, ADMA 2019, held in Dalian, China in November 2019. The 39 full papers presented together with 26 short papers and 2 demo papers were carefully reviewed and selected from 170 submissions. The papers were organized in topical sections named: Data Mining Foundations; Classification and Clustering Methods; Recommender Systems; Social Network and Social Media; Behavior Modeling and User Profiling; Text and Multimedia Mining; Spatial-Temporal Data; Medical and Healthcare Data/Decision Analytics; and Other Applications. |
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