Spatio-temporal design : advances in efficient data acquisition / / edited by Jorge Mateu, Werner G. Muller

• Record Nr.: UNINA9910825994603321
• Pubbl/distr/stampa: Chichester, West Sussex, U.K., : Wiley, 2013
• ISBN: 9781118441862; 1118441869; 9781299187313; 1299187315; 9781118441893; 1118441893; 9781118441886; 1118441885
• Descrizione fisica: 1 online resource (379 p.)
• Collana: Statistics in practice
• Classificazione: MAT029000
• Altri autori (Persone): MateuJorge; MüllerW. G (Werner G.)
• Disciplina: 001.4/33
• Soggetti: Sampling (Statistics); Spatial analysis (Statistics)
• 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: Spatio-temporal design; Contents; Contributors; Foreword; Chapter 1 Collecting spatio-temporal data; 1.1 Introduction; 1.2 Paradigms in spatio-temporal design; 1.3 Paradigms in spatio-temporal modeling; 1.4 Geostatistics and spatio-temporal random functions; 1.4.1 Relevant spatio-temporal concepts; 1.4.2 Properties of the spatio-temporal covariance and variogram functions; 1.4.3 Spatio-temporal kriging; 1.4.4 Spatio-temporal covariance models; 1.4.5 Parametric estimation of spatio-temporal covariograms; 1.5 Types of design criteria and numerical optimization; 1.6 The problem set: Upper Austria1.6.1 Climatic data; 1.6.2 Grassland usage; 1.7 The chapters; Acknowledgments; References; Chapter 2 Model-based frequentist design for univariate and multivariate geostatistics; 2.1 Introduction; 2.2 Design for univariate geostatistics; 2.2.1 Data-model framework; 2.2.2 Design criteria; 2.2.3 Algorithms; ; 2.2.4 Toy example; 2.3 Design for multivariate geostatistics; 2.3.1 Data-model framework; 2.3.2 Design criteria; 2.3.3 Toy example; 2.4 Application: Austrian precipitation data network; 2.5 Conclusions; References; Chapter 3 Model-based criteria heuristics for second-phase spatial sampling3.1 Introduction; 3.2 Geometric and geostatistical designs; 3.2.1 Efficiency of spatial sampling designs; 3.2.2 Sampling spatial variables in a geostatistical context; 3.2.3 Sampling designs minimizing the kriging variance; 3.3 Augmented designs: Second-phase sampling; 3.3.1 Additional sampling schemes to maximize change in the kriging variance; 3.3.2 A weighted kriging variance approach; 3.4 A simulated annealing approach; 3.5 Illustration; 3.5.1 Initial sampling designs; 3.5.2 Augmented designs; 3.6 Discussion; ReferencesChapter 4 Spatial sampling design by means of spectral approximations to the error process; 4.1 Introduction; 4.2 A brief review on spatial sampling design; 4.3 The spatial mixed linear model; 4.4 Classical Bayesian experimental design problem; 4.5 The Smith and Zhu design criterion; 4.6 Spatial sampling design for trans-Gaussian kriging; 4.7 The spatDesign toolbox; 4.7.1 Covariance estimation and variography software; 4.7.2 Spatial interpolation and kriging software; 4.7.3 Spatial sampling design software; 4.8 An example session; 4.8.1 Preparatory calculations; 4.8.2 Optimal design for the BSLM4.8.3 Design for the trans-Gaussian kriging; 4.9 Conclusions; References; Chapter 5 Entropy-based network design using hierarchical Bayesian kriging; 5.1 Introduction; 5.2 Entropy-based network design using hierarchical Bayesian kriging; 5.3 The data; 5.4 Spatio-temporal modeling; 5.5 Obtaining a staircase data structure; 5.6 Estimating the hyperparameters Hg and the spatial correlations between gauge stations; 5.7 Spatial predictive distribution over the 445 areas located in the 18 districts of Upper Austria; 5.8 Adding gauge stations over the 445 areas located in the 18 districts of Upper Austria
• Sommario/riassunto: "A state-of-the-art presentation of optimum spatio-temporal sampling design - bridging classic ideas with modern statistical modeling concepts and the latest computational methods.Spatio-temporal Design presents a comprehensive state-of-the-art presentation combining both classical and modern treatments of network design and planning for spatial and spatio-temporal data acquisition. A common problem set is interwoven throughout the chapters, providing various perspectives to illustrate a complete insight to the problem at hand.Motivated by the high demand for statistical analysis of data that takes spatial and spatio-temporal information into account, this book incorporates ideas from the areas of time series, spatial statistics and stochastic processes, and combines them to discuss optimum spatio-temporal sampling design.Spatio-temporal Design: Advances in Efficient Data Acquisition: Provides an up-to-date account of how to collect space-time data for monitoring, with a focus on statistical aspects and the latest computational methods Discusses basic methods and distinguishes between design and model-based approaches to collecting space-time data. Features model-based frequentist design for univariate and multivariate geostatistics, and second-phase spatial sampling. Integrates common data examples and case studies throughout the book in order to demonstrate the different approaches and their integration. Includes real data sets, data generating mechanisms and simulation scenarios. Accompanied by a supporting website featuring R code. Spatio-temporal Design presents an excellent book for graduate level students as well as a valuable reference for researchers and practitioners in the fields of applied ; mathematics, engineering, and the environmental and health sciences"--

Nanobioceramics for Bone Tissue Engineering and Regenerative Biomedicine : Tunable Biological Characteristics / / by Reza Gholami, Seyed Morteza Naghib

• Record Nr.: UNINA9910983300003321
• Autore: Ghulāmī Riz̤ā
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• ISBN: 9789819600410; 9819600413
• Edizione: [1st ed. 2025.]
• Descrizione fisica: 1 online resource (X, 282 p. 36 illus., 30 illus. in color.)
• Collana: Biological and Medical Physics, Biomedical Engineering, , 2197-5647
• Disciplina: 610.153
• Soggetti: Medical physics; Regenerative medicine; Biomaterials; Biomedical engineering; Biophysics; Nanoscience; Composite materials; Medical Physics; Regenerative Medicine and Tissue Engineering; Biomedical Materials; Biomedical Engineering and Bioengineering; Nanoscale Biophysics; Composites
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Introduction -- Bone -- Bone Cells -- Bone Extracellular Matrix -- Bone ECM Proteins Part I -- Bone ECM Proteins Part II -- Bioactivity and Osteogenic Features -- Nano-Bioceramics -- Composites for BTE.
• Sommario/riassunto: This book presents the tunable biological characteristics of ; nanobioceramics and focuses on some challenges in bone tissue engineering and regenerative medicine. Synthetic composite-based materials and scaffolds should be biodegradable, biocompatible and supply sufficient structural aid for cell migration, along with oxygen, waste, and nutrient carriage to accelerate bone regeneration process and remodeling in defects. These properties may be reached by functioning tunable physical features, including absorption rate, degradation rate, modulus, porosity, and swelling by adjustments with the addition of ceramic phases and copolymers as synthetic composite scaffolds. Synthetic bioceramics seek to imitate the natural hydroxyapatite (HA) crystal creation located in bone. These ceramics, particularly calcium phosphates, have exhibited great osteoinductivity, osteoconductivity, and biocompatibility. Lately, silicon-based glass-ceramics have been investigated as a substitution of calcium phosphates. Several members of this collection exhibit high bioactivity, have attractive mechanical strength, and are known to increase cell proliferation, adhesion, and mineralization of extracellular matrix. Moreover, antibacterial properties of some nanostructured bioceramics established significant interests in avoiding implants rejection in surgery and biomedicine.