000 04287nam a22004451i 4500
999 _c119196
_d119196
_x1
001 119196
003 ES-MaUEC
005 20230207040637.0
006 a|||| o|||| 00| 0
007 cr nn nnnaamaa
008 200224s2020 gw | o |||| 0|eng d
020 _a9783030378493
024 7 _a10.1007/978-3-030-37849-3
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
041 0 _aeng
050 4 _aRK652.5
_b2020 EB
100 1 _aFok, Alex
_eautor
_9673394
245 1 0 _aMathematical Models for Dental Materials Research
_cby Alex Fok, Hooi Pin Chew
250 _aFirst edition 2020
264 1 _aCham, Switzerland
_bSpringer International Publishing
_c2020
300 _a1 recurso en línea (XIV, 77 páginas)
_b41 ilustraciones, 40 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aArchivo de texto
_bPDF
490 0 _aBiomedical and Life Sciences (Springer-11642)
505 0 _aChapter 1 - Systematic Errors in Longitudinal Measurements -- Chapter 2 - Endodontic Treatment and Vertical Root Fracture -- Chapter 3 - Debonding of Resin Composite Restorations -- Chapter 4 - Attenuation of Curing Light through Resin Composite Restorations -- Chapter 5 - Release of Ions or Molecules from Dental Restorations -- Chapter 6 - Heat Generated from Dental Resin Composites during Curing -- Chapter 7 - Mechanical Failure of Dental Restorations - The Weakest-Link Theory -- Chapter 8 - Stability of Dental Implants -- Chapter 9 - Kinetics of Photo-polymerization -- Index.
520 3 _aThis book presents a mechanistic approach-mathematical modeling-for carrying out dental materials research. This approach allows researchers to go beyond the null hypothesis and obtain a solution that is more general and therefore predictive for conditions other than those considered in a study. Hence it can be used either on its own or to complement the commonly used statistical approach. Through a series of practical problems with wide-ranging application, the reader will be guided on: How to construct a mathematical model for the behavior of dental materials by making informed assumptions of the physical, chemical, or mechanical situation How to simplify the model by making suitable simplifications How to calibrate the model by calculating the values of key parameters using experimental results How to refine the model when there are discrepancies between predictions and experiments Only elementary calculus is required to follow the examples and all the problems can be solved by using MS Excel© spreadsheets. This is an ideal book for dental materials researchers without a strong mathematical background who are interested in applying a more mechanistic approach to their research to give deeper insight into the problem at hand. Advance praise for Mathematical Models for Dental Materials Research: "This is a nice addition for research students on how to conduct their work and how to manage data analysis. It brings together a number of important aspects of dental materials investigations which has been missing in the literature. The practical examples make it much easier to understand." - Michael F. Burrow, Clinical Professor in Prosthodontics, The University of Hong Kong "The great strengths of this volume are the real world examples of dental materials research in the successive chapters. In turn, this is an outcome of the outstanding expertise of both authors. I warmly recommend this book to the dental biomaterials community worldwide." - David C. Watts, Professor of Biomaterials Science, University of Manchester, UK.
988 _aSpringer_BiomedLife_31032020
650 7 _2embne
_aMateriales dentales
_9142326
650 7 _2embne
_aModelos matemáticos
_9405064
700 1 _aChew, Hooi Pin
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9674028
710 2 _aSpringerLink (Online service)
776 0 8 _iPrinted edition:
_z9783030378486
776 0 8 _iPrinted edition:
_z9783030378509
776 0 8 _iPrinted edition:
_z9783030378516
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://dx.doi.org/10.1007/978-3-030-37849-3
942 _2lcc
_cLE
_n0
998 _b04/2020
_dz
_eb
_zSI