1.

Record Nr.

UNINA9910968409703321

Titolo

Clinical context for evidence-based nursing practice / / edited by Bridie Kent and Brendan McCormack

Pubbl/distr/stampa

Chichester, West Sussex ; ; Ames, Iowa, : Blackwell Pub., : Sigma Theta Tau International, 2010

ISBN

9786613402349

9781118786628

1118786629

9781118275894

1118275896

9781283402347

1283402343

9781118275887

1118275888

Edizione

[1st ed.]

Descrizione fisica

1 online resource (229 p.)

Collana

The evidence-based nursing series

Altri autori (Persone)

KentBridie

McCormackBrendan

Disciplina

610.73

Soggetti

Evidence-based nursing

Context effects (Psychology)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Context: overview and application / Bridie Kent and Brendan McCormack -- Making context work in primary health care / John Rosenberg and Debbie Kralik -- Making context work in acute care / Alison Hutchinson and Tracey Bucknall -- Making context work in paediatrics / Valerie Wilson -- Making context work in the perioperative setting / Victoria M. Steelman -- Midwifery in the context of new and developing technologies / Marlene Sinclair -- Making context work in mental health / Dawn Freshwater and Jane Cahill -- Making context work in aged care / Nadine Janes -- Enabling context with policy / Gill Harvey -- Context in context / Bridie Kent and Brendan McCormack.



Sommario/riassunto

The Evidence-Based Nursing Series is co-published with Sigma Theta Tau International (STTI). The series focuses on implementing evidence-based practice in nursing and midwifery and mirrors the remit of Worldviews on Evidence-Based Nursing, encompassing clinical practice, administration, research and public policy. Clinical Context for Evidence-Based Practice provides insights into the key contextual issues to be considered in the implementation and assessment of evidence-based practice. Increasingly, implementation research is demonstrating that for evidence to be successfully

2.

Record Nr.

UNINA9911019946103321

Titolo

Case studies in reliability and maintenance / / edited by Wallace R. Blischke, D.N. Prabhakar Murthy

Pubbl/distr/stampa

Hoboken, NJ, : John Wiley, 2003

ISBN

9786610366286

9781280366284

1280366281

9780470232750

0470232757

9780471458739

0471458732

9780471393009

0471393002

Descrizione fisica

1 online resource (691 p.)

Collana

Wiley series in probability and statistics

Altri autori (Persone)

BlischkeW. R. <1934->

MurthyD. N. P

Disciplina

620/.00452

Soggetti

Reliability (Engineering)

Maintainability (Engineering)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Case Studies in Reliability and Maintenance; Contents; Contributors;



Preface; 1. Introduction and Overview; 1.1. Introduction; 1.2. Reliability, Maintenance, Maintainability, and Quality; 1.3. History of Reliability and Maintainability; 1.4. Applications; 1.5. Life Cycle Concepts; 1.6. Tools and Techniques for the Study of Reliability; 1.7. Reliability and Maintenance Data and Analysis; 1.8. Issues in Reliability and Maintenance; 1.9. Case Studies: An Overview; References; PART A. CASES WITH EMPHASIS ON PRODUCT DESIGN; 2. Space Interferometer Reliability-Based Design Evaluation

2.1. Introduction 2.2. Problem Description; 2.3. Alternative Optical Interferometer Designs; 2.4. Evaluation of Alternative Designs; 2.5. Interpretations, Conclusions, and Extensions; References; Exercises; Acronyms; 3. Confidence Intervals for Hardware Reliability Predictions; 3.1. Introduction; 3.2. Approach; 3.3. Problem Description; 3.4. Reliability Modeling; 3.5. Subassembly Hardware Reliability Prediction; 3.6. Construction of Component Failure Rate Database; 3.7. Comparing Field Reliability Results with Predictions; 3.8. Implementation; 3.9. Conclusions; References; Exercises

4. Allocation of Dependability Requirements in Power Plant Design 4.1. Introduction; 4.2. System Characterization; 4.3. Modeling Dependability and Requirements; 4.4. Allocation of Requirements; 4.5. Continued Allocation in the Fault Tree; 4.6. Conclusions; References; Exercises; PART B. CASES WITH EMPHASIS ON DEVELOPMENT AND TESTING; 5. The Determination of the Design Strength of Granite Used as External Cladding for Buildings; 5.1. Introduction; 5.2. Properties of Granite; 5.3. Reliability Criteria; 5.4. Current Practices; 5.5. Case Study; 5.6. Conclusions; References; Exercises

Appendix A. Rosa Antico Data Appendix B. White Berrocal Data; 6. Use of Sensitivity Analysis to Assess the Effect of Model Uncertainty in Analyzing Accelerated Life Test Data; 6.1. Introduction; 6.2. Weibull Distribution and Initial Data Analysis; 6.3. Response Surface Model Analysis; 6.4. Effect of Stroke Displacement on Spring Life; 6.5. Concluding Remarks; References; Exercises; Appendix A. SPLIDA Commands for the Analyses; Appendix B. Spring-Accelerated Life Test Data; 7. Virtual Qualification of Electronic Hardware; 7.1. Introduction; 7.2. Automotive Module Case Study; 7.3. Summary

References Exercises; 8. Development of a Moisture Soak Model for Surface-Mounted Devices; 8.1. Introduction; 8.2. Experimental Procedure and Results; 8.3. The Moisture Soak Model; 8.4. Discussion; References; Exercises; 9. Construction of Reliable Software in Resource-Constrained Environments; 9.1. Introduction; 9.2. Constrained Development; 9.3. Model and Metrics; 9.4. Case Studies; 9.5. Summary; References; Exercises; 10. Modeling and Analysis of Software System Reliability; 10.1. Introduction; 10.2. NHPP Software Reliability Growth Models; 10.3. Case Study; 10.4. Problems and Alternatives

10.5. Case Study (Continued)

Sommario/riassunto

Introducing a groundbreaking companion book to a bestselling reliability text Reliability is one of the most important characteristics defining the quality of a product or system, both for the manufacturer and the purchaser. One achieves high reliability through careful monitoring of design, materials and other input, production, quality assurance efforts, ongoing maintenance, and a variety of related decisions and activities. All of these factors must be considered in determining the costs of production, purchase, and ownership of a product. Case Studies in Reliability