| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910143308103321 |
|
|
Autore |
Kahnberg Karl-Erik |
|
|
Titolo |
Bone grafting techniques for maxillary implants [[electronic resource] /] / Karl-Erik Kahnberg ; with contributions from Lars Rasmusson, Göran Zellin |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Oxford ; ; Ames, Iowa, : Blackwell Munksgaard, 2005 |
|
|
|
|
|
|
|
ISBN |
|
1-280-74837-0 |
9786610748372 |
0-470-76221-7 |
0-470-75957-7 |
1-4051-7161-8 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (112 p.) |
|
|
|
|
|
|
Altri autori (Persone) |
|
RasmussonLars <1962-> |
ZellinGöran <1962-> |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
|
|
Soggetti |
|
Maxilla - Surgery |
Implants, Artificial |
Bone-grafting |
Electronic books. |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references (p. 79-88) and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Biological principles of bones -- Implant integration in normal bone and bone grafts -- Grafting procedures -- Onlay bone grafting -- Inlay bone grafting -- Segmental osteotomy for bone augmentation procedure -- Distraction osteogenesis for augmentation of the alveolar process -- Complications -- Bone substitutes in maxillary reconstruction procedures. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
This book explores the potential of bone grafting techniques to rehabilitate the maxilla through the placement of dental implants. As implant dentistry becomes increasingly well established and sophisticated, this book will help experienced surgeons to involve implant solutions as part of more challenging reconstructions in the upper jaw. Starting with a recap on principles of bone biology, the book |
|
|
|
|
|
|
|
|
|
|
|
|
|
then considers implant integration in normal bone and with bone grafts. Grafting procedures are presented depicting a variety of bone harvest sites, followed by onlay and inlay grafting technique |
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910141601803321 |
|
|
Titolo |
Multidisciplinary design optimization in computational mechanics [[electronic resource] /] / edited by Piotr Breitkopf, Rajan Filomeno Coelho |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
London, : ISTE |
|
Hoboken, N.J., : Wiley, 2010 |
|
|
|
|
|
|
|
|
|
ISBN |
|
1-118-60015-0 |
1-118-60002-9 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (573 p.) |
|
|
|
|
|
|
Collana |
|
|
|
|
|
|
Altri autori (Persone) |
|
BreitkopfPiotr |
CoelhoRajan Filomeno |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Engineering design |
Engineering mathematics |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
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 |
|
Cover; Multidisciplinary Design Optimization in Computational Mechanics; Title Page; Copyright Page; Table of Contents; Foreword; Notes for Instructors; Acknowledgements; Chapter 1. Multilevel Multidisciplinary Optimization in Airplane Design; 1.1. Introduction; 1.2. Overview of the traditional airplane design process and expected MDO contributions; 1.3. First step toward MDO: local dimensioning by mathematical optimization; 1.4. Second step toward MDO: multilevel multidisciplinary dimensioning; 1.5. Elements of an MDO process; 1.6. Choice of optimizers; 1.6.1. Deterministic algorithms |
1.6.2. Stochastic algorithms1.7. Coupling between levels; 1.7.1. Reduction of mathematical models; 1.7.2. Simplified physical models; 1.8. Post-processing; 1.8.1. Lagrange multipliers; 1.8.2. Pareto fronts; 1.8.3. Self-organizing maps; 1.9. Conclusion; Chapter 2. Response |
|
|
|
|
|
|
|
|
|
|
|
Surface Methodology and Reduced Order Models; 2.1. Introduction; 2.2. Introducing some more notations; 2.3. Linear regression; 2.3.1. Introduction to linear regression; 2.3.2. Leverage; 2.3.3. Generalized linear regression; 2.3.4. An implicit reduced order model: moving least-squares (MLS) method |
2.3.5. Bias-variance trade-off2.4. Non-linear regression; 2.4.1. Neural networks as an example of non-linear models; 2.4.2. Another example of a non-linear model: parametrized RBFs; 2.4.3. Gradient algorithms; 2.4.4. Second-order methods; 2.5. Kriging interpolation; 2.5.1. Recall on Gaussian regression; 2.5.2. Basic principles of kriging algorithms; 2.5.3. Trend estimation; 2.5.4. Covariance estimation; 2.6. Non-parametric regression and kernel-based methods; 2.6.1. Introduction to non-parametric methods; 2.6.2. Parzen window regression; 2.6.3. Radial basis functions (RBFs) |
2.6.4. EM estimation of a mixture2.6.5. How RBFs are used in this book; 2.7. Support vector regression; 2.7.1. Variational formulation of SVR; 2.7.2. Dual formulation of SVR; 2.7.3. Computation of SVR models; 2.7.4. Self-reproducing Hilbert space; 2.7.5. Regularizing properties of the kernel; 2.7.6. Margin selection and ν-regression; 2.7.7. Large databases and recursive learning; 2.8. Model selection; 2.8.1. Estimating generalization error; 2.8.2. Cross-validation methods; 2.8.3. Leverage methods; 2.9. Introduction to design of computer experiments (DoCE); 2.9.1. Classical techniques |
2.9.2. Input space sampling2.9.3. Adaptive learning and sequential design; 2.10. Bibliography; Chapter 3. PDE Metamodeling using Principal Component Analysis; 3.1. Principal component analysis (PCA); 3.2. Truncation rank and projector error; 3.3. Application: POD reduction of velocity fields in an engine combustion chamber; 3.4. Reduced-basis methods, numerical analysis; 3.4.1. POD-Galerkin projection method; 3.4.2. Dual approach POD-Petrov-Galerkin; 3.5. Intrusive/non-intrusive aspects; 3.6. Double reduction in both space and parameter dimensions; 3.7. The weighted residual method |
3.8. Non-linear problems |
|
|
|
|
|
|
Sommario/riassunto |
|
This book provides a comprehensive introduction to the mathematical and algorithmic methods for the Multidisciplinary Design Optimization (MDO) of complex mechanical systems such as aircraft or car engines. We have focused on the presentation of strategies efficiently and economically managing the different levels of complexity in coupled disciplines (e.g. structure, fluid, thermal, acoustics, etc.), ranging from Reduced Order Models (ROM) to full-scale Finite Element (FE) or Finite Volume (FV) simulations. Particular focus is given to the uncertainty quantification and its impact on the robus |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
3. |
Record Nr. |
UNINA9910894160003321 |
|
|
Titolo |
Anuarul Universității "Petre Andrei" din Iași : = Yearbook "Petre Andrei" University from Iasi . [...] Fascicula Drept, Științe Economice, Științe Politice = series Law, Economic Science, Political Sciences |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Iași, : Ed. Lumen |
|
Frankfurt, M., : CEEOL, 2010- |
|
|
|
|
|
|
|
|
|
Descrizione fisica |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
|
|
Soggetti |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Periodico |
|
|
|
|
|
Note generali |
|
|
|
|
|
| |