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Record Nr. |
UNINA9910453690203321 |
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Autore |
Collette Carolyn P |
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Titolo |
In the thick of the fight : the writing of Emily Wilding Davison, militant suffragette / / Carolyn P. Collette |
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Pubbl/distr/stampa |
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Ann Arbor : , : University of Michigan Press, , [2013] |
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©2013 |
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ISBN |
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Descrizione fisica |
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1 online resource (258 p.) |
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Disciplina |
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Soggetti |
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Suffragists - Great Britain |
Women - Suffrage - Great Britain - History |
Electronic books. |
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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 and index. |
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Nota di contenuto |
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""Contents""; ""Preface""; ""Chapter 1. Seizing the Moment""; ""Chapter 2. Reading and Writing for the Cause""; ""Chapter 3. Visionary Women, Rebels for God's Laws""; ""Chapter 4. Paying the Price: Militancy, Prison, and Violence""; ""Chapter 5. Answering Point for Point: The 1911 Letters""; ""Afterword""; ""Appendix: Brief Biographical Index of Persons Emily Davison Refers to in Her Writing""; ""Further Reading"" |
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Sommario/riassunto |
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"One of the most memorable images of the British women's suffrage movement occurred on June 4, Derby Day, 1913. As the field of horses approached a turning at Epsom, militant suffragette Emily Wilding Davison ducked out from under the railing and ran onto the track, reaching for the bridle of the King's horse, and was killed in the collision. While her death transformed her into a heroine, it all but erased her identity. To identify what impelled Davison to suffer multiple imprisonments, to experience the torture of force-feedings and the insults of hostile members of the crowds who came to hear her speak, Carolyn P. Collette explores a largely ignored source--the writing to which Davison dedicated so much time and effort during the years from 1908 to 1913. Davison's writing is an implicit apologia for why she lived the life of a militant suffragette and where she continually revisits and restates the principles that guided her: that woman suffrage was |
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necessary to improve the lives of men, women, and children; that the freedom and justice women sought was sanctioned by God and unjustly withheld by humans whose opposition constituted a tyranny that had to be opposed; and that the evolution of human progress demanded that women become fully equal citizens of their nation in every respect-- politically, economically, and culturally. In the Thick of the Fight makes available for the first time the archive of published and unpublished writings of Emily Wilding Davison. Collette reorients both scholarly and public attention away from a single, defining event to the complexity of Davison's contributions to modern feminist discourse, giving the reader a sense of the vibrancy and diversity of Davison's suffrage writings"-- |
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2. |
Record Nr. |
UNINA9910455030403321 |
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Titolo |
Applications of fuzzy logic in bioinformatics [[electronic resource] /] / Dong Xu ... [et al.] |
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Pubbl/distr/stampa |
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London, : Imperial College Press |
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Hackensack, N.J., : Distributed by World Scientific, c2008 |
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ISBN |
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Descrizione fisica |
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1 online resource (248 p.) |
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Collana |
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Series on advances in bioinformatics and computational biology ; ; v. 9 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Bioinformatics |
Computational biology |
Fuzzy logic |
Fuzzy sets |
Electronic books. |
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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. 196-221) and index. |
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Nota di contenuto |
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Foreword; Preface; Contents; 1. Introduction to Bioinformatics; 1.1 What Is Bioinformatics; 1.2 A Brief History of Bioinformatics; 1.3 Scope of Bioinformatics.; 1.4 Major Challenges in Bioinformatics; 1.5 Bioinformatics and Computer Science; 2. Introduction to Fuzzy Set |
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Theory and Fuzzy Logic; 2.1 Where Does Fuzzy Logic Fit in Computational Science?; 2.2 Why Do We Need to Use Fuzziness in Biology?; 2.3 Brief History of the Field.; 2.4 Fuzzy Membership Functions and Operators.; 2.4.1 Membership functions; 2.4.2 Basic fuzzy set operators.; 2.4.3 Compensatory operators. |
2.5 Fuzzy Relations and Fuzzy Logic Inference.2.6 Fuzzy Clustering; 2.6.1 Fuzzy C-Means; 2.6.2 Extension to fuzzy C-Means.; 2.6.3 Possibilistic C-Means (PCM); 2.7 Fuzzy K-Nearest Neighbors; 2.8 Fuzzy Measures and Fuzzy Integrals.; 2.8.1 Fuzzy measures.; 2.8.2 Fuzzy integrals; 2.9 Summary and Final Thoughts; 3. Fuzzy Similarities in Ontologies.; 3.1 Introduction; 3.2 Definition of Ontology-Based Similarity; 3.3 Set-Based Similarity Measure.; 3.3.1 Pair-wise aggregation.; 3.3.2 Bag of words similarities.; 3.4 Fuzzy Measure Similarity |
3.5 Fuzzy Measure Similarity for Augmented Sets of Ontology Objects.3.6 Choquet Fuzzy Integral Similarity Measure.; 3.7 Examples and Applications of Fuzzy Measure Similarity Using GO Terms; 3.7.1 Lymphoma case study; 3.7.2 Gene clustering using Gene Ontology annotations.; 3.7.3 Gene summarization using Gene Ontology terms.; 3.8 Ontology Similarity in Data Mining; 3.9 Discussion and Summary.; 4. Fuzzy Logic in Structural Bioinformatics; 4.1 Introduction; 4.2 Protein Secondary Structure Prediction.; 4.3 Protein Solvent Accessibility Prediction. |
4.4 Protein Structure Matching Using Fuzzy Alignments 4.5 Protein Similarity Calculation Using Fuzzy Contact Maps; 4.6 Protein Structure Class Classification; 4.7 Summary.; 5. Application of Fuzzy Logic in Microarray Data Analyses.; 5.1 Introduction; 5.1.1 Microarray data description; 5.1.2 Microarray processing algorithms for gene selection and patient classification.; 5.1.3 Microarray processing algorithms for gene regulatory network discovery; 5.2 Clustering Algorithms; 5.2.1 (Dis)similarity measures for microarray data; 5.2.2 Fuzzy C-means (FCM); 5.2.3 Relational fuzzy C-means |
5.2.4 Fuzzy co-clustering algorithms 5.3 Inferring Gene Networks Using Fuzzy Rule Systems; 5.4 Discussion and Summary.; 6. Other Applications.; 6.1 Overview; 6.2 Applications in Biological Sequence Analyses; 6.2.1 Protein sequence comparison; 6.2.2 Application in sequence family classification; 6.2.3 Application in motif identification.; 6.2.4 Application in protein subcellular localization prediction.; 6.2.5 Genomic structure prediction; 6.3 Application in Computational Proteomics; 6.3.1 Electrophoresis analysis.; 6.3.2 Protein identification through mass-spec; 6.4 Application in Drug Design. |
6.5 Discussion and Summary. |
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Sommario/riassunto |
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Many biological systems and objects are intrinsically fuzzy as their properties and behaviors contain randomness or uncertainty. In addition, it has been shown that exact or optimal methods have significant limitation in many bioinformatics problems. Fuzzy set theory and fuzzy logic are ideal to describe some biological systems/objects and provide good tools for some bioinformatics problems. This book comprehensively addresses several important bioinformatics topics using fuzzy concepts and approaches, including measurement of ontological similarity, protein structure prediction/analysis, and |
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