Modelling Regional Scenarios for the Enlarged Europe : European Competitiveness and Global Strategies
The aim of this book is to tackle the question of what the European territory will look like over the next fifteen years by providing quali-quantitative territorial scenarios for the enlarged Europe, under different assumptions on future globalisation strategies of BRIC (Brazil, Russia, India and China) and East and West European countries. The approach is as neutral as possible vis-à-vis the results, leaving to a new forecasting model, the MASST model, built by the authors, to produce the tendencies and behavioural paths of regional GDP and population growth in each individual European region under alternative assumptions on the competitiveness strategies of different blocks of countries. The results are accompanied by strong policy messages intended to encourage long-term strategic thinking among a wide range of actors, scientists and policy makers in response to the risks and opportunities that the European territory will face.
Modelli Dinamici Discreti = Discrete Dynamic Models
Discrete mathematical modeling is one of the driving factors in modern mathematics research, and has played a role of synthesis between different disciplines, becoming a tool for qualitative and quantitative analysis in applied sciences. This volume provides an introduction to the analysis of discrete dynamic systems, following a modeling approach. An examination of a wide range of examples, models, and motivations drawn from Biology, Demography, Engineering and Economics, is followed by the presentation of the tools for the study of linear and non-linear scalar dynamical systems, with particular attention to stability analysis. The linear difference equations are studied in detail and an elementary introduction to the Z and DFT transforms is provided. One chapter is devoted to the study of bifurcations and chaotic dynamics. One-step vector dynamical systems and the applications of Markov chains are the subject of three chapters.
Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis
DEA is computational at its core and this book by Zhu and Cook deals with the micro aspects of handling and modeling data issues in modeling DEA problems. DEA's use has grown with its capability of dealing with complex "service industry" and the "public service domain" types of problems that require modeling both qualitative and quantitative data. It is a handbook treatment dealing with specific data problems including the following: (1) imprecise data, (2) inaccurate data, (3) missing data, (4) qualitative data, (5) outliers, (6) undesirable outputs, (7) quality data, (8) statistical analysis, (9) software and other data aspects of modeling complex DEA problems. In addition, the book demonstrates how to visualize DEA results when the data is more than 3-dimensional, and how to identify efficiency units quickly and accurately.
Modeling Complex Living Systems : A Kinetic Theory and Stochastic Game Approach
Using tools from mathematical kinetic theory and stochastic game theory, this work deals with the modeling of large complex systems in the applied sciences, particularly those comprised of several interacting individuals whose dynamics follow rules determined by some organized, or even "intelligent" ability. Traditionally, methods of mathematical kinetic theory have been applied to model the evolution of large systems of interacting classical or quantum particles. This book, on the other hand, examines the modeling of living systems as opposed to inert systems.
Modeling biological systems : Principles and applications
This extensively revised second edition of Modeling Biological Systems: Principles and Applications describes the essentials of creating and analyzing mathematical and computer simulation models for advanced undergraduates and graduate students. It offers a comprehensive understanding of the underlying principle, as well as details and equations applicable to a wide variety of biological systems and disciplines. Students will acquire from this text the tools necessary to produce their own models. The text contains two major sections: Principles and Applications. The first section discusses the principles of biological systems with a thorough description of the essential modeling activities of formulation, implementation, validation, and analysis. These activities are illustrated by a set of example models taken from recent and classical literature, chosen for their breadth of coverage and current timeliness. The new edition updates extensively many of these topics, especially quantitative model formulation, validation and model discrimination using information theory measures and Bayesian probability, and stability analysis and non-dimensionalization.
Model-Based Demography: Essays on Integrating Data, Technique and Theory
This book shows how demography can build a strong theoretical edifice on its broad and deep empirical foundation by adoption of the model-based approach to science. But the full-fruits of this approach will require demographers to make greater use of computer modeling [both macro- and micro-simulation], in the statement and manipulation of theoretical ideas, as well as for numerical computation.
Model Based Inference in the Life Sciences : A Primer on Evidence
The abstract concept of "information" can be quantified and this has led to many important advances in the analysis of data in the empirical sciences. This text focuses on a science philosophy based on "multiple working hypotheses" and statistical models to represent them. The fundamental science question relates to the empirical evidence for hypotheses in this set—a formal strength of evidence. Kullback-Leibler information is the information lost when a model is used to approximate full reality. Hirotugu Akaike found a link between K-L information (a cornerstone of information theory) and the maximized log-likelihood (a cornerstone of mathematical statistics). This combination has become the basis for a new paradigm in model based inference. The text advocates formal inference from all the hypotheses/models in the a priori set—multimodel inference.
Mix-Design and Application of Hydraulic Grouts for Masonry Strengthening
Provides guidance for the rational design and application of hydraulic grouts, based on a series of specific data (type of masonry, voids' width, targeted strength and durability level, available materials, etc.). To this end, the basic characteristics of a grout, i.e. its injectability (penetrability, fluidity and stability), its strength and durability, are taken into account by means of rational models and quantified expressions of all grout-design parameters. Thus, a holistic, rational mix design methodology for optimization of grout composition is given, permitting the preliminary design of grouts, without having to resort to multiple tests in advance.
Mindful Universe : Quantum Mechanics and the Participating Observer
This book is a bold and original attack on the problem of consciousness and free will based on the openings provided by the laws of quantum mechanics. This is a serious and interesting attack on a truly fundamental problem.
Mind, Matter and the Implicate Order
Pylkkänen's eclectic approach combines new physics-based insights with those of analytical philosophy, phenomenology, cognitive science and neuroscience and he proposes a view in which the mechanistic framework of classical physics and neuroscience is complemented by a more holistic underlying framework in which conscious experience finds its place more naturally.
Mid-infrared Semiconductor Optoelectronics
Mid-infrared Semiconductor Optoelectronics is an overview of the current status and technological development in this rapidly emerging area. It is composed of four parts. First, the basic physics and some of the main problems facing the design engineer (together with a comparison of possible solutions) are laid out. Next, there is a consideration of the multifarious lasers used as sources for mid-infrared technology, including an inspection of current approaches to the lack of such a source in the 3–4 µm region. Part III reviews recent work in light-emitting diodes and detectors and also deals with negative luminescence. The final part of the book is concerned with applications and highlights, once more, the diversity and technological importance of the mid-infrared spectral region.
Microscopy of Semiconducting Materials 2007 ; Proceedings of the 15th Conference, 2-5 April 2007, Cambridge, UK
The conference focused upon the most recent advances in the study of the structural and electronic properties of semiconducting materials by the application of transmission and scanning electron microscopy, scanning probe microscopy and X-ray-based methods. Conference sessions concentrated on key topics including state-of-the-art studies in high resolution imaging and analytical electron microscopy, advanced scanning probe microscopy, scanning electron microscopy and focused ion beam applications, novel epitaxial layer phenomena, the properties of quantum nanostructures, III-nitride developments, GeSi/Si for advanced devices, metal-semiconductor contacts and silicides and the important effects of critical device processing treatments.
Methods for measuring greenhouse Gas balances and evaluating mitigation options in smallholder agriculture
This book provides standards and guidelines for quantifying greenhouse gas emissions and removals in smallholder agricultural systems and comparing options for climate change mitigation based on emission reductions and livelihood trade-offs. Globally, agriculture is directly responsible for about 11% of annual greenhouse gas (GHG) emissions and induces an additional 17% through land use change, mostly in developing countries. Farms in the developing countries of sub-Saharan Africa and Asia are predominately managed by smallholders, with 80% of land holdings smaller than ten hectares. However, little to no information exists on greenhouse gas emissions and mitigation potentials in smallholder agriculture.
Méthodes mathématiques en chimie quantique : Une introduction = Mathematical methods in quantum chemistry : An introduction
This book presents the mathematical foundations of several models of quantum chemistry. It is intended for graduate students in mathematics (and possibly also for scientists from physics or chemistry interested in understanding the formal underpinnings of their models), and introduces techniques and methods from several mathematical fields, in particular variational techniques, nonlinear analysis, spectral theory and partial differential equations theory.
Membrane Computing ; Vol. 3850 ; 6th International Workshop, WMC 2005, Vienna, Austria, July 18-21, 2005, Revised Selected and Invited Papers
The papers in this volume cover all the main directions of research in membrane computing, ranging from theoretical topics in mathematics and computer science, to application issues, especially in biology. More specifically, these papers present research on topics such as: computational power and complexity classes, new types of P systems, relationships to Petri nets, quantum computing, and brane calculi, determinism vs. nondeterminism, hierarchies, the size of small families, algebraic approaches, and designing polynomial solutions to NP-complete problems through the use of membrane systems. Like the previous workshops,
Medicinal spice and condiment crops
Spices are used in small quantities to add flavor, aroma, color, and texture in food preparation. However, spices and condiments have also been recognized as having medicinal value. They have been used traditionally as curative and preventive agents, the bioactive compounds obtained from these plants are used in herbal drug formulations in modern times.
Medical data processing and analysis
Medical data can be defined as obtaining information from patients (such as signals, images, sounds, chemical components and their concentration, body temperature, respiratory rate, blood pressure, and different treatment measurements) to quantify the patient’s status and disease stage. Computer-aided diagnostic (CAD) systems use classical image processing, computer vision, machine learning, and deep learning methods for image analysis. Using image classification or segmentation algorithms, they find a region of interest (ROI) pointing to a specific location within the given image or an outcome of interest in the form of a label pointing to a diagnosis or prognosis. Computer science, with the evolution of artificial intelligence and machine learning techniques, facilitates the modeling and interpretation of results—from carrying out measurements to experiments and observations.
Mechanics : From Newton's Laws to Deterministic Chaos
This updated and revised fourth edition covers all topics in mechanics from elementary Newtonian mechanics, canonical and rigid body mechanics to relativistic mechanics and nonlinear dynamics. In particular, symmetries and invariance principles, geometrical structures and continuum mechanics play an important role. This book will enable the reader to develop general principles from which equations of motions may be derived, to understand the importance of symmetries as a basis for quantum mechanics and to get practice in using theoretical tools and concepts that are essential for all branches of physics. The book contains numerous problems with complete solutions, and some practical examples.This will be appreciated in particular by students using the text to accompnay lectures on mechanics. The book ends with some historical remarks on important pioneers in mechanics.
Meccanica quantistica : problemi scelti : 100 problemi risolti di meccanica quantistica = Quantum mechanics : chosen problems : 100 solved problems of quantum mechanics
This book is mainly dedicated to students preparing for the written exam of a Quantum Mechanics course. Consequently, this collection can also be very useful for teachers who have to propose problems to their students both in class and for exams. It is assumed that the contents of the course are substantially identical to those of a traditional course of Institutions of Theoretical Physics of the old systems of the degree course in Physics. In the new regulations, the same topics were, in general, spread over several courses.
Measuring the Value of Culture : Methods and Examples in Cultural Economics
Acknowledgement of the value of culture and cultural goods is increasing world-wide. So too is interest in finding methods to quantify this value so that governments and private sponsors can make efficient funding decisions. "Measuring the Value of Culture" documents methods that can be used to put a price on the arts and cultural goods, including theatre, heritage, cultural events (like arts festivals), museums, archaeological sites and libraries. The methods discussed include economic impact studies, which use market data, as well as non-market valuation techniques, like willingness to pay studies, and the newer choice experiments. In addition, advances in more qualitative valuation methods are considered.



















