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[null,"1.","Record Nr.",null,"UNINA9910452168403321"]
[null,null,"Autore",null,"Cowan Brian William <1969->"]
[null,null,"Titolo",null,"The social life of coffee [[electronic resource] ] : the emergence of the British coffeehouse / / Brian Cowan"]
[null,null,"Pubbl/distr/stampa",null,"New Haven [Conn.], : Yale University Press, c2005"]
[null,null,"ISBN",null,"1-281-72271-5"]
[{"$nulls":4},"9786611722715"]
[{"$nulls":4},"0-300-13350-2"]
[null,null,"Descrizione fisica",null,"1 online resource (384 p.)"]
[null,null,"Classificazione",null,"NN 7500"]
[null,null,"Disciplina",null,"647.9509"]
[null,null,"Soggetti",null,"Coffeehouses - History"]
[{"$nulls":4},"Coffee - History"]
[{"$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","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 265-354) and index."]
[null,null,"Nota di contenuto",null,"Front matter -- Contents -- Acknowledgments -- A Note on Styles and Conventions -- Introduction -- 1. An Acquired Taste -- 2. Coffee and Early Modern Drug Culture -- 3. From Mocha to Java -- 4. Penny Universities? -- 5. Exotic Fantasies and Commercial Anxieties -- 6. Before Bureaucracy -- 7. Policing the Coffeehouse -- 8. Civilizing Society -- Conclusion -- Notes -- Bibliography -- Index"]
[null,null,null,"Sommario/riassunto","What induced the British to adopt foreign coffee-drinking customs in the seventeenth century? Why did an entirely new social institution, the coffeehouse, emerge as the primary place for consumption of this new drink? In this lively book, Brian Cowan locates the answers to these questions in the particularly British combination of curiosity, commerce, and civil society. Cowan provides the definitive account of the origins of coffee drinking and coffeehouse society, and in so doing he reshapes our understanding of the commercial and consumer revolutions in Britain during the long Stuart century. Britain's virtuosi, gentlemanly patrons of the arts and sciences, were profoundly interested in things strange and exotic. Cowan explores how such virtuosi spurred initial consumer interest in coffee and invented the social template for the first coffeehouses. As the coffeehouse evolved, rising to take a central role in British commercial and civil society, the virtuosi were also transformed by their own invention."]
[null,"2.","Record Nr.",null,"UNINA9910143415403321"]
[null,null,"Titolo",null,"Knowledge discovery in bioinformatics [[electronic resource] ] : techniques, methods, and applications / / edited by Xiaohua Hu,  Yi Pan"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, N.J., : Wiley-Interscience, c2007"]
[null,null,"ISBN",null,"1-280-90018-0"]
[{"$nulls":4},"9786610900183"]
[{"$nulls":4},"0-470-12464-4"]
[{"$nulls":4},"0-470-12463-6"]
[null,null,"Descrizione fisica",null,"1 online resource (405 p.)"]
[null,null,"Collana",null,"Wiley Series in Bioinformatics"]
[null,null,"Disciplina",null,"570.285"]
[{"$nulls":4},"570/.285"]
[{"$nulls":4},"572.80285"]
[null,null,"Soggetti",null,"Bioinformatics"]
[{"$nulls":4},"Computational biology"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,"Nota di contenuto",null,"KNOWLEDGE DISCOVERY IN BIOINFORMATICS; CONTENTS; Contributors; Preface; 1 Current Methods for Protein Secondary-Structure Prediction Based on Support Vector Machines; 1.1 Traditional Methods; 1.1.1 Statistical Approaches; 1.1.2 Machine Learning Approaches; 1.2 Support Vector Machine Method; 1.2.1 Introduction to SVM; 1.2.2 Encoding Profile; 1.2.3 Kernel Functions; 1.2.4 Tertiary Classifier Design; 1.2.5 Accuracy Measure of SVM; 1.3 Performance Comparison of SVM Methods; 1.4 Discussion and Conclusions; References; 2 Comparison of Seven Methods for Mining Hidden Links"]
[{"$nulls":4},"2.1 Analysis of the Literature on Raynaud's Disease2.2 Related Work; 2.3 Methods; 2.3.1 Information Measures; 2.3.2 Ranking Methods; 2.3.3 Seven Methods; 2.4 Experiment Results and Analysis; 2.4.1 Data Set; 2.4.2 Chi-Square, Chi-Square Association Rule, and Mutual Information Link ABC Methods Compared; 2.4.3 Chi-Square ABC Method: Semantic Check for Mining Implicit Connections; 2.4.4 Chi-Square and Mutual Information Link ABC Methods; 2.5 Discussion and Conclusions; Acknowledgments; References; 3 Voting Scheme-Based Evolutionary Kernel Machines for Drug Activity Comparisons"]
[{"$nulls":4},"3.1 Granular Kernel and Kernel Tree Design3.1.1 Definitions; 3.1.2 "]
[{"$nulls":4},"Granular Kernel Properties; 3.2 GKTSESs; 3.3 Evolutionary Voting Kernel Machines; 3.4 Simulations; 3.4.1 Data Set and Experimental Setup; 3.4.2 Experimental Results and Comparisons; 3.5 Conclusions and Future Work; Acknowledgments; References; 4 Bioinformatics Analyses of Arabidopsis thaliana Tiling Array Expression Data; 4.1 Tiling Array Design and Data Description; 4.1.1 Data; 4.1.2 Tiling Array Expression Patterns; 4.1.3 Tiling Array Data Analysis; 4.2 Ontology Analyses; 4.3 Antisense Regulation Identification"]
[{"$nulls":4},"4.3.1 Antisense Silencing4.3.2 Antisense Regulation Identification; 4.4 Correlated Expression Between Two DNA Strands; 4.5 Identification of Nonprotein Coding mRNA; 4.6 Summary; Acknowledgments; References; 5 Identification of Marker Genes from High-Dimensional Microarray Data for Cancer Classification; 5.1 Feature Selection; 5.1.1 Taxonomy of Feature Selection; 5.1.2 Evaluation Criterion; 5.1.3 Generation Procedure; 5.2 Gene Selection; 5.2.1 Individual Gene Ranking; 5.2.2 Gene Subset Selection; 5.2.3 Summary of Gene Selection; 5.3 Comparative Study of Gene Selection Methods"]
[{"$nulls":4},"5.3.1 Microarray Data Descriptions5.3.2 Gene Selection Approaches; 5.3.3 Experimental Results; 5.4 Conclusions and Discussion; Acknowledgments; References; 6 Patient Survival Prediction from Gene Expression Data; 6.1 General Methods; 6.1.1 Kaplan-Meier Survival Analysis; 6.1.2 Cox Proportional-Hazards Regression; 6.2 Applications; 6.2.1 Diffuse Large-B-Cell Lymphoma; 6.2.2 Lung Adenocarcinoma; 6.2.3 Remarks; 6.3 Incorporating Data Mining Techniques to Survival Prediction; 6.3.1 Gene Selection by Statistical Properties; 6.3.2 Cancer Subtype Identification via Survival Information"]
[{"$nulls":4},"6.4 Selection of Extreme Patient Samples"]
[null,null,null,"Sommario/riassunto","The purpose of this edited book is to bring together the ideas and findings of data mining researchers and bioinformaticians by discussing cutting-edge research topics such as, gene expressions, protein/RNA structure prediction, phylogenetics, sequence and structural motifs, genomics and proteomics, gene findings, drug design, RNAi and microRNA analysis, text mining in bioinformatics, modelling of biochemical pathways, biomedical ontologies, system biology and pathways, and biological database management."]