{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":3,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":54,"n_cols":5,"rows_kept":54,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[4,2,4,3],[7,2,7,3],[8,2,8,3],[9,2,9,3],[11,2,11,3],[12,2,12,3],[17,2,17,3],[20,2,20,3],[20,4,20,5],[21,2,21,3],[21,4,21,5],[22,2,22,3],[22,4,22,5],[23,2,23,3],[24,2,24,3],[25,2,25,3],[26,2,26,3],[27,2,27,3],[28,2,28,3],[29,2,29,3],[35,2,35,3],[36,2,36,3],[38,2,38,3],[41,2,41,3],[41,4,41,5],[42,2,42,3],[42,4,42,5],[43,2,43,3],[43,4,43,5],[44,2,44,3],[46,2,46,3],[47,2,47,3],[48,2,48,3],[49,2,49,3],[51,2,51,3],[52,2,52,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910452232503321"]
[null,null,"Autore",null,"Fisher Jennifer <1949->"]
[null,null,"Titolo",null,"\"Nutcracker\" nation [[electronic resource] ] : how an Old World ballet became a Christmas tradition in the New World / / Jennifer Fisher"]
[null,null,"Pubbl/distr/stampa",null,"New Haven, : Yale University Press, c2003"]
[null,null,"ISBN",null,"1-281-72301-0"]
[{"$nulls":4},"9786611723019"]
[{"$nulls":4},"0-300-13343-X"]
[null,null,"Descrizione fisica",null,"1 online resource (253 p.)"]
[null,null,"Disciplina",null,"792.8/4"]
[null,null,"Soggetti",null,"Christmas - United States"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 213-219) and index."]
[{"$nulls":4},"Filmography: p. 219."]
[null,null,"Nota di contenuto",null,"Front matter -- Contents -- Preface -- Acknowledgments -- One. The Early Years -- Two. Making Friends at Christmastime -- Three. Fitting In -- Four. Experiences and Relationships -- Five. The Meaning of Life -- Notes -- Bibliography -- Index -- Photo Credits"]
[null,null,null,"Sommario/riassunto","The Nutcracker is the most popular ballet in the world, adopted and adapted by hundreds of communities across the United States and Canada every Christmas season. In this entertainingly informative book, Jennifer Fisher offers new insights into the Nutcracker phenomenon, examining it as a dance scholar and critic, a former participant, an observer of popular culture, and an interviewer of those who dance, present, and watch the beloved ballet. Fisher traces The Nutcracker's history from its St. Petersburg premiere in 1892 through its emigration to North America in the mid-twentieth century to the many productions of recent years. She notes that after it was choreographed by another Russian immigrant to the New World, George Balanchine, the ballet began to thrive and variegate: Hawaiians added hula, Canadians added hockey, Mark Morris set it in the swinging sixties, and Donald Byrd placed it in Harlem. The dance world underestimates The Nutcracker at its peril, Fisher suggests, because the ballet is one of its most powerfully resonant traditions. After starting life as a Russian ballet based on a German tale about a little girl's imagination, The Nutcracker has become a way for Americans to tell a story about their communal "]
[{"$nulls":4},"values and themselves."]
[null,"2.","Record Nr.",null,"UNISA996416847203316"]
[null,null,"Autore",null,"Denuit Michel"]
[null,null,"Titolo",null,"Effective Statistical Learning Methods for Actuaries III [[electronic resource] ] : Neural Networks and Extensions / / by Michel Denuit, Donatien Hainaut, Julien Trufin"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019"]
[null,null,"ISBN",null,"3-030-25827-0"]
[null,null,"Edizione",null,"[1st ed. 2019.]"]
[null,null,"Descrizione fisica",null,"1 online resource (258 pages) : illustrations"]
[null,null,"Collana",null,"Springer Actuarial Lecture Notes, , 2523-3289"]
[null,null,"Disciplina",null,"368.01"]
[null,null,"Soggetti",null,"Actuarial science"]
[{"$nulls":4},"Statistics "]
[{"$nulls":4},"Neural networks (Computer science) "]
[{"$nulls":4},"Actuarial Sciences"]
[{"$nulls":4},"Statistics for Business, Management, Economics, Finance, Insurance"]
[{"$nulls":4},"Mathematical Models of Cognitive Processes and Neural Networks"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Preface. - Feed-forward Neural Networks. - Byesian Neural Networks and GLM. - Deep Neural Networks -- Dimension-Reduction with Forward Neural Nets Applied to Mortality. - Self-organizing Maps and k-means clusterin in non Life Insurance. - Ensemble of Neural Networks -- Gradient Boosting with Neural Networks. - Time Series Modelling with Neural Networks -- References."]
[null,null,null,"Sommario/riassunto","Artificial intelligence and neural networks offer a powerful alternative to statistical methods for analyzing data. This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance. The third volume of the trilogy simultaneously introduces the relevant tools for developing and analyzing neural networks, in a style that is mathematically rigorous and yet accessible. The authors proceed by successive generalizations, requiring of the reader only a basic knowledge of statistics. Various topics are covered from feed-forward networks to deep learning, such as Bayesian learning, boosting methods and Long Short Term Memory models. All methods are applied to claims, mortality or time-series forecasting. This book is written for masters students in the actuarial sciences and for actuaries wishing to update their skills in machine "]
[{"$nulls":4},"learning. ."]
[null,"3.","Record Nr.",null,"UNINA9910795028003321"]
[null,null,"Autore",null,"Sabando Suarez Pedro"]
[null,null,"Titolo",null,"Así se creó el Sistema Nacional de Salud (SNS) / / Pedro Sabando Suarez"]
[null,null,"Pubbl/distr/stampa",null,"Madrid : , : Ediciones Diaz de Santos S.A., , [2020]"]
[{"$nulls":4},"©2020"]
[null,null,"ISBN",null,"84-9052-240-5"]
[null,null,"Descrizione fisica",null,"1 online resource (261 pages)"]
[null,null,"Disciplina",null,"362.10946"]
[null,null,"Soggetti",null,"Public health - Spain - History"]
[{"$nulls":4},"National health services - Spain - History"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]