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1. |
Record Nr. |
UNINA9910461143603321 |
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Titolo |
After Montaigne : contemporary essayists cover the essays / / edited by David Lazar and Patrick Madden |
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Pubbl/distr/stampa |
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Athens : , : University of Georgia Press, , [2015] |
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©2015 |
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ISBN |
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Descrizione fisica |
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1 online resource (269 p.) |
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Altri autori (Persone) |
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MontaigneMichel de <1533-1592.> |
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Disciplina |
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Soggetti |
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American essays - 21st century |
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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Cover; Contents; Acknowledgments; Introduction; 1. To the Reader, Sincerely; 2. Of Liars; 3. Of the Education of Children; 4. Of Prayers; 5. Of Thumbs; 6. Of Smells; 7. Of Cannibals; 8. How the Soul Discharges Its Emotions Against False Objects When Lacking Real Ones; 9. Of Constancy; 10. Of Giving the Lie; 11. Of Friendship; 12. Of Idleness; 13. Against Idleness; 14. Of the Affection of Fathers for Their Children; 15. Of Wearing My Red Dress [after "Of the Custom of Wearing Clothes"]; 16. Of the Power of the Imagination; 17. That Our Mind Hinders Itself; 18. Of Books and Huecos |
19. Of Diversion20. Of Sex, Embarrassment, and the Miseries of Old Age [after "On Some Verses of Virgil"]; 21. Of Sleep; 22. Of the Inconvenience of Greatness; 23. Of Solitude; 24. Of Age; 25. Of Practice; 26. The Ceremony of the Interview of Princes; 27. We Can Savour Nothing Pure; 28. Experience Necessary; Notes; A Note on the Translations; Contributors; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; P; Q; R; S; T; V; W; Y |
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Sommario/riassunto |
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Writers of the modern essay can trace their chosen genre all the way back to Michel de Montaigne (1533-92). But save for the recent notable best seller How to Live: A Life of Montaigne by Sarah Bakewell, Montaigne is largely ignored. After Montaigne -a collection of twenty-four new personal essays intended as tribute- aims to correct this collective lapse of memory and introduce modern readers and writers |
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to their stylistic forebear. Though it's been over four hundred years since he began writing his essays, Montaigne's writing is still fresh, and his use of the form as a means of self-explora |
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2. |
Record Nr. |
UNISA996466407003316 |
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Titolo |
Statistical analysis of microbiome data / / Somnath Datta and Subharup Guha, editors |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, , [2021] |
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©2021 |
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ISBN |
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Descrizione fisica |
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1 online resource (348 pages) |
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Collana |
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Frontiers in probability and the statistical sciences |
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Disciplina |
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Soggetti |
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Microbiology - Statistical methods |
Microbiologia |
Estadística matemàtica |
Microorganismes |
Genètica microbiana |
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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Intro -- Preface -- Acknowledgments -- Contents -- Part I Preprocessing and Bioinformatics Pipelines -- Denoising Methods for Inferring Microbiome Community Content and Abundance -- 1 Introduction -- 2 Common Algorithmic Denoising Strategies -- 3 Model-Based Denoising -- 3.1 Hierarchical Divisive Clustering -- 3.2 Finite Mixture Model -- 3.3 Denoising Long-Read Technology -- 4 Model Assessment -- 4.1 With Known Truth -- 4.1.1 Accuracy in ASV Identification -- 4.1.2 Accuracy in Read Assignments -- 4.2 With Unknown Truth -- 4.2.1 Assessment with UMIs -- 4.2.2 Clustering Stability -- 5 Conclusions -- References -- Statistical and Computational Methods for Analysis of Shotgun Metagenomics Sequencing Data -- 1 Introduction -- 2 Methods for Species |
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Identification and Quantification of Microorganisms -- 3 Metagenome Assembly and Applications -- 3.1 de Bruijn Assembly of a Single Genome -- 3.2 Modification for Metagenome and Metagenome-Assembled Genomes -- 3.3 Compacted de Bruijn Graph -- 4 Estimation of Growth Rates for Metagenome-Assembled Genomes (MAGs) -- 5 Methods for Identifying Biosynthetic Gene Clusters -- 5.1 A Hidden Markov Model-Based Approach -- 5.2 A Deep Learning Approach -- 5.3 BGC Identification Based on Metagenomic Data -- 6 Future Directions -- References -- Bioinformatics Pre-Processing of Microbiome Data with An Application to Metagenomic Forensics -- 1 Introduction -- 2 Bioinformatics Pipeline -- 2.1 Microbiome Data -- 2.2 Quality Control -- 2.3 Taxonomic Profiling -- 2.3.1 MetaPhlAn2 -- 2.3.2 Kraken2 -- 2.3.3 Kaiju -- 2.4 Computing facilities -- 3 Methodology -- 3.1 Pre-Processing and Feature Selection -- 3.2 Exploration of Candidate Classifiers -- 3.3 The Ensemble Classifier -- 3.4 Class Imbalance -- 3.5 Performance Measures -- 3.6 Data Analysis -- 4 Results -- 5 Discussion -- 6 Data Acknowledgement -- 7 Code Availability. |
References -- Part II Exploratory Analyses of Microbial Communities -- Statistical Methods for Pairwise Comparison of Metagenomic Samples -- 1 Introduction -- 2 Microbial Community Comparison Methods Based on OTU Abundance Data -- 3 Microbial Community Comparison Measures Based on a Phylogenetic Tree -- 3.1 The Fst Statistic and Phylogenetic Test for Comparing Communities -- 3.2 UniFrac, W-UniFrac, VAW-UniFrac, and Generalized UniFrac for Comparing Microbial Communities -- 3.3 VAW-UniFrac for Comparing Communities -- 4 Alignment-Free Methods for the Comparison of Microbial Communities -- 5 A Tutorial on the Use of UniFrac Type and Alignment-Free Dissimilarity Measures for the Comparison of Metagenomic Samples -- 5.1 Analysis Steps for UniFrac, W-UniFrac, Generalized UniFrac, and VAW-UniFrac -- 5.2 Analysis Steps for the Comparison of Microbial Communities Based on Alignment-Free Methods -- 6 Discussion -- References -- Beta Diversity and Distance-Based Analysis of Microbiome Data -- 1 Introduction -- 2 Quantifying Dissimilarity: Common Beta Diversity Metrics -- 3 Ordination and Dimension Reduction -- 3.1 Principal Coordinates Analysis -- 3.2 Double Principal Coordinate Analysis -- 3.3 Biplots -- 3.4 Accounting for Compositionality -- 3.5 Model-Based Ordination Using Latent Variables -- 4 Distance-Based Hypothesis Testing -- 4.1 Permutation Tests -- 4.2 Kernel Machine Regression Tests -- 4.3 Sum of Powered Score Tests -- 4.4 Adaptive Tests -- 4.5 Comparison of Distance-Based Tests -- 5 Strengths, Weaknesses, and Future Directions -- References -- Part III Statistical Models and Inference -- Joint Models for Repeatedly Measured Compositional and Normally Distributed Outcomes -- 1 Introduction -- 2 Motivating Data -- 3 Statistical Models -- 3.1 The Multinomial Logistic Mixed Model (MLMM) -- 3.2 Dirichlet-Multinomial Mixed Model (DMMM). |
3.3 Goodness of Fit -- 4 Simulation Studies -- 4.1 Simulation Setting -- 4.2 Simulation Results -- 5 Data Analysis -- 6 Discussion -- 7 Software -- Appendix -- References -- Statistical Methods for Feature Identification in Microbiome Studies -- 1 Introduction -- 2 Differential Abundance Analysis -- 2.1 Compositional Methods -- 2.2 Count-Based Methods -- 2.3 Additional Notes -- 3 Mediation Analysis -- 4 Feature Identification Adjusting for Confounding -- 4.1 Covariate Adjustment -- 4.2 Model-Based Standardization -- 5 Summary -- References -- Statistical Methods for Analyzing Tree-Structured Microbiome Data -- 1 Introduction -- 2 Modeling Multivariate Count Data -- 2.1 Dirichlet-Multinomial Model -- 2.2 Dirichlet-Tree Multinomial Model -- 2.3 |
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Implementation and Illustration -- 3 Estimating Microbial Compositions -- 3.1 Empirical Bayes Normalization -- 3.2 Phylogeny-Aware Normalization -- 3.3 Statistical Analysis of Compositional Data -- 3.4 Implementation and Illustration -- 4 Regression with Compositional Predictors -- 4.1 Constrained Lasso and Log-Ratio Lasso -- 4.2 Subcomposition Selection -- 4.3 Phylogeny-Aware Subcomposition Selection -- 4.4 Linear Regression and Variable Fusion -- 5 Additional References -- 6 Discussion -- References -- A Log-Linear Model for Inference on Bias in Microbiome Studies -- 1 Introduction -- 2 Methods -- 2.1 The Brooks' Data -- 2.2 Setup and Estimation -- 2.3 Inference -- 2.4 Testability of the Hypothesis -- 2.4.1 Example: Testable Hypotheses for Main Effects -- 2.4.2 Example: Testable Hypotheses for Interaction Effects -- 3 Simulations -- 3.1 Main Effect Simulation -- 3.2 Interaction Effect Simulation Based on the Brooks Data -- 4 Results -- 4.1 Simulation Results -- 4.2 Do Interactions Between Taxa Affect Bias in the Brooks' Data? -- 4.3 Plate and Sample Type Effects in the Brooks' Data -- 5 Discussion -- Appendix. |
References -- Part IV Bayesian Methods -- Dirichlet-Multinomial Regression Models with Bayesian Variable Selection for Microbiome Data -- 1 Introduction -- 2 Methods -- 2.1 Dirichlet-Multinomial Regression Models for Compositional Data -- 2.2 Variable Selection Priors -- 2.3 Network Priors -- 2.3.1 Unknown G -- 2.4 Dirichlet-Tree Multinomial Models -- 2.5 Posterior Inference -- 3 Simulated Data -- 3.1 Simulation Study for DM Regression Models -- 3.2 DM Sensitivity Analysis -- 3.3 Simulation Study for DTM Regression Models -- 3.4 DTM Sensitivity Analysis -- 4 Applications -- 4.1 Multi-omics Microbiome Study-Pregnancy Initiative (MOMS-PI) -- 4.2 Gut Microbiome Study -- 5 Conclusion -- References -- A Bayesian Approach to Restoring the Duality Between Principal Components of a Distance Matrix and Operational Taxonomic Units in Microbiome Analyses -- 1 Introduction -- 1.1 Motivating Datasets -- 1.2 Nonlinear or Stochastic Distances -- 1.3 Limitations of SVD-Based Approaches -- 2 A Bayesian Formulation -- 2.1 Posterior Density -- 3 Model Sum of Squares and Biplots -- 4 Posterior Inference -- 4.1 Gibbs Sampler -- 4.2 Dimension Reduction: Skinny Bayesian Technique -- 4.2.1 Subsetted Data Matrix -- 4.2.2 Lower Dimensional Parameters and Induced Posterior -- 4.2.3 Faster Inference Procedure -- 4.3 Model Parameter Estimates -- 5 Simulation Study -- 5.1 Generation Strategy -- 6 Data Analysis -- 6.1 Tobacco Data -- 6.2 Subway Data -- 7 Data Acknowledgement -- 8 Discussion -- Supplementary Materials -- Appendix -- Proof of Lemma 1 -- References -- Part V Special Topics -- Tree Variable Selection for Paired Case-Control Studies with Application to Microbiome Data -- 1 Introduction -- 2 Gini Index -- 2.1 Simulation Analysis -- 3 Multivariate Gini Index -- 3.1 Conditional Gini Index -- 4 Variable Importance -- 5 Analysis of Obesity Using Microbiome Data. |
6 Discussion -- Appendix -- References -- Networks for Compositional Data -- 1 Introduction -- 2 Methods -- 2.1 Learning Networks from Marginal Associations -- 2.1.1 ReBoot -- 2.1.2 SparCC -- 2.1.3 CCLasso -- 2.1.4 COAT -- 2.2 Learning Networks from Conditional Associations -- 2.2.1 SPIEC-EASI -- 2.2.2 gCoda -- 2.2.3 SPRING -- 3 Data-Generating Models -- 3.1 Null Models -- 3.2 Copula Models -- 3.3 Logistic-Normal Model -- 4 Results -- 4.1 Spurious (Partial) Correlations -- 4.2 Performance in Network Discovery -- 4.3 Case Studies in R -- 5 Future Directions -- References -- Index. |
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3. |
Record Nr. |
UNINA9910626155703321 |
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Titolo |
IEEE geoscience and remote sensing magazine |
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Pubbl/distr/stampa |
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New York, NY : , : Institute of Electrical and Electronics Engineers |
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ISSN |
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Descrizione fisica |
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Disciplina |
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Soggetti |
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Earth sciences - Remote sensing |
Periodicals. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Periodico |
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Note generali |
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4. |
Record Nr. |
UNINA9910699193703321 |
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Titolo |
Caring for someone with Alzheimer's Bathing tips [[electronic resource]] |
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Pubbl/distr/stampa |
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[Bethesda, Md.] : , : National Institutes of Health, , [between 2000 and 2009?] |
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Altri autori (Persone) |
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Soggetti |
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Alzheimer's disease - Patients - Care |
Baths |
Documentary films. |
Streaming videos. |
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Lingua di pubblicazione |
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Formato |
Videoregistrazione |
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Livello bibliografico |
Monografia |
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Note generali |
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Available as both streaming video (47 sec., WMV file, sd., col.) and downloadable video (47 sec., WMV file, sd., col.) files. |
Title from NIH SeniorHealth Videos table of contents page (viewed Oct. 6, 2009). |
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Accompanied by transcript in HTML format. |
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Sommario/riassunto |
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Cynthia D. Steele, RN, MPH, Johns Hopkins University Alzheimer's Disease Center, describes techniques for bathing Alzheimer's patients. |
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5. |
Record Nr. |
UNINA9910792353103321 |
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Autore |
Thomas Biju |
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Titolo |
OCA [[electronic resource] ] : Oracle database 11g administrator certified associate study guide (1Z0-051 and 1Z0-052) / / Biju Thomas |
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Pubbl/distr/stampa |
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Indianapolis, Ind., : Wiley Pub., 2009 |
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ISBN |
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1-118-05942-5 |
1-282-55025-X |
9786612550256 |
0-470-48834-4 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (1158 p.) |
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Collana |
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Disciplina |
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Soggetti |
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Electronic data processing personnel - Certification |
Database management - Examinations |
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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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Nota di contenuto |
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OCA Oracle® Database 11g Administrator Certified Associate Study Guide; Acknowledgments; About the Author; Contents at a Glance; Contents; Introduction; SQL Fundamentals I Assessment Test; Answers to SQL Fundamentals I Assessment Test; Administration I Assessment Test; Answers to Administration I Assessment Test; Part I: Oracle Database 11g: SQL Fundamentals I; Chapter 1: Introducing SQL; SQL Fundamentals; Writing Simple Queries; Accepting Values at Runtime; Summary; Exam Essentials; Untitled; Review Questions; Answers to Review Questions; Chapter 2: Using Single-Row Functions |
Single-Row Function FundamentalsUsing Single-Row Character Functions; Using Single-Row Numeric Functions; Using Single-Row Date Functions; Using Single-Row Conversion Functions; Using Other Single-Row Functions; Summary; Exam Essentials; Review Questions; Answers to Review Questions; Chapter 3: Using Group Functions; |
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Group-Function Fundamentals; Utilizing Aggregate Functions; Summary; Exam Essentials; Review Questions; Answers to Review Questions; Chapter 4: Using Joins and Subqueries; Writing Multiple-Table Queries; Using Set Operators; Subqueries; Summary; Exam Essentials; Review Questions |
Answers to Review QuestionsChapter 5: Manipulating Data; Using DML Statements; Understanding Transaction Control; Summary; Exam Essentials; Review Questions; Answers to Review Questions; Chapter 6: Creating Tables and Constraints; Database Objects Overview; Built-in Datatypes; Creating Tables; Modifying Tables; Managing Constraints; Summary; Exam Essentials; Review Questions; Answers to Review Questions; Chapter 7: Creating Schema Objects; Creating and Modifying Views; Creating and Managing Sequences; Creating and Managing Synonyms; Creating and Managing Indexes; Summary; Exam Essentials |
Review QuestionsAnswers to Review Questions; Part II: Oracle Database 11g: Administration I; Chapter 8: Introducing Oracle Database 11g Components and Architecture; Oracle Database Fundamentals; Oracle 11g Architecture; Installing Oracle 11g; Summary; Exam Essentials; Review Questions; Answers to Review Questions; Chapter 9: Creating an Oracle 11g Database; Using DBCA to Create Oracle 11g Databases; Working with Oracle 11g Metadata; Managing Initialization-Parameter Files; Starting Up and Shutting Down an Oracle Instance; Monitoring the Database Alert Log; Summary; Exam Essentials |
Review QuestionsAnswers to Review Questions; Chapter 10: Allocating Database Storage and Creating Schema Objects; Tablespaces and Data Files Overview; Managing Tablespaces; Managing Data Files; Working with Schema Objects; Summary; Exam Essentials; Review Questions; Answers to Review Questions; Chapter 11: Understanding Network Architecture; Introducing Network Configurations; An Overview of Oracle Net Features; Configuring Oracle Net on the Server; Configuring Oracle Net for the Client; An Overview of Oracle Shared Server; Oracle Shared Server Infrastructure; Summary; Exam Essentials |
Review Questions |
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Sommario/riassunto |
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Candidates for the Oracle Certified Associate in Oracle Database 11g need to pass Exams 1Z0-051 and 1Z0-052 to achieve their certification-this guide prepares you for taking both those exams. This two-in-one study guide covers the Oracle Certified Associate certification for Oracle database 11g and reviews exam topics such as restricting and sorting data, using conversion functions and conditional expressions, displaying data from multiple tables, and exploring the Oracle database architecture. Plus, you'll learn how to create and maintain an Oracle database, perform database backups and recov |
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6. |
Record Nr. |
UNINA9910878781503321 |
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Titolo |
Journal of law and information science |
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Pubbl/distr/stampa |
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[Broadway, N.S.W.], : Faculties of Law, and Mathematical and Computing Sciences, New South Wales Institute of Technology, 1981-2021 |
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Descrizione fisica |
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Disciplina |
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Soggetti |
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Computers - Law and legislation - Australia |
Information storage and retrieval systems - Law - Australia |
Computers - Law and legislation |
Information storage and retrieval systems - Law |
Science and law |
Systèmes d'information - Droit (Science) - Australie |
Systèmes d'information - Droit (Science) |
Ordinateurs - Droit - Australie |
Ordinateurs - Droit |
Sciences et droit |
Informaticarecht |
Rechtsinformatica |
Periodicals. |
Australia |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Periodico |
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Note generali |
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7. |
Record Nr. |
UNIORUON00417692 |
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Autore |
SCHLEGEL, Friedrich |
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Titolo |
Philosophie des Lebens : in fünfzehn Vorlesungen gehalten zu Wien im Jahre 1827 und Philosophische Vorlesungen insbesondere über Philosophie der Sprache und des Wortes geschrieben und vorgetragen zu Dresden im Dezember 1828 und in den ersten Tagen des Januars 1829 / Friedrich Schlegel ; herausgegeben und eingeleitet von Ernst Behler |
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Pubbl/distr/stampa |
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München, Paderborn, Wien, : Ferdinand Schöningh ; Zürich, : Thomas-Verlag, 1969 |
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Descrizione fisica |
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LXXII, 560 p., [3] c. di tav. ; 23 cm. |
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Disciplina |
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Soggetti |
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Letteratura tedesca - Sec. 18.-19 |
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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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