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SPIRES-BOOKS: FIND KEYWORD BIOLOGY DATA PROCESSING *END*INIT* use /tmp/qspiwww.webspi1/4217.35 QRY 131.225.70.96 . find keyword biology data processing ( in books using www Cover
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Call number:9783319459011:ONLINE Show nearby items on shelf
Title:First Complex Systems Digital Campus World E-Conference 2015
Author(s):
Date:2017
Size:1 online resource (VIII, 424 p. 120 illus., 96 illus. in color p.)
Contents:Welcome to CS-DC’15 -- Reconstructing multi-scale dynamics -- Machine learning methods -- A formal model to compute uncertain continuous data -- Knowledge maps -- Analysis of a Planetary Scale Scientific Collaboration Dataset Reveals
Novel Patterns -- Epistemology of integrative and predictive sciences -- Information science and the complexity: are we orientated to a transdisciplinary science? -- Synthesis of ecology, biology and ethnographic data -- Bayesian
Causalities, Mappings, and Phylogenies: A Social Science Gateway for Modeling Complexity in Ethnographic, Archaeo-, Eco- and Bio-logical Variables -- Multi-level modeling -- Statistical and dynamical properties of networks -- Community
detection as an efficient way to attack real networks -- From particles to complex matter -- Chemical garden -- Assembly of molecular metal oxides from the nano to the macroscale via chemical gardens -- Physics of complex systems --
Viscosity scaling in hydrodynamic instabilities in porous media -- A general approach to the linear stability analysis of miscible viscous fingering in porous media -- From individual to social cognition -- From individual to social
cognition: Piaget, Jung and commons -- Ecological approach of sport and sport education -- Ecological Dynamics: a theoretical framework for understanding sport performance, physical education and physical -- Emerging dance movements
under ecological constraints in Contact Improvisation dancers with different background -- Emerging collective shared behaviors from individual exploration in football small-sided games -- Adaptability in swimming pattern: how do
swimmers adapt propulsive action as a function of speed? -- Backstroke start performance prediction -- Flexible perception-action strategies for follow-the-leader coordination -- Dynamic process of pulmonary data analysis: from the
athlete mouth to the coach’s hands -- From processing units to computational ecosystems to the cloud -- A multi-agent system approach to load-balancing and resource allocation for distributed computing -- Integrative science of
education -- POEM-COPA Collaborative Open Peer Assessment -- Implications of agent-based computational modeling and simulation for preventive education in children with ADHD -- MOOC as a complex system -- From fields to territories to
the planet -- Integrative logistics -- Logistics and Territory integrative approach -- Process modeling of an international transport chain through the simulation tool SIMPROCESS -- Dynamic emissions reduction from vehicles with
technical and behavioral approach -- 4p-factories (e-lab) -- Is the Lean Organisation a complex system? -- An artificial immune ecosystem model for hybrid cloud supervision -- Engineering of territory sustainability -- Spatialisation
of Soil Erosion Susceptibility Using USLE Model -- Social patterns in multicultural environments Matrimonial patterns and trans-ethnic entities -- Economics as a complex evolutionist system -- A study of heterogeneity in a stock market
simulator based on a model of agents that learn from experience in a market with multiple stocks -- Are innovation systems complex systems? -- From molecules to ecosphere -- Ocean biogeochemical dynamics -- Frontal systems as
mechanisms of fish aggregation -- Lagrangian approach to phytoplankton mesoscale biogeography in the Kerguelen region -- Lyapunov exponents and oceanic fronts.
ISBN:9783319459011
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Data mining , System theory , Computational intelligence , Complexity, Computational , Physics , Complex Systems , Complex Systems , Complexity , Data Mining and Knowledge Discovery , Computational Intelligence , Biological and Medical Physics, Biophysics
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Call number:9783319458090:ONLINE Show nearby items on shelf
Title:Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry
Author(s):
Date:2017
Size:1 online resource (VIII, 295 p. 106 illus., 83 illus. in color p.)
Contents:Transformation, normalization and batch effect in the analysis of mass spectrometry data for omics studies -- Automated Alignment of Mass Spectrometry Data Using Functional Geometry -- The analysis of peptide-centric mass spectrometry
data utilizing information about the expected isotope distribution -- Probabilistic and likelihood-based methods for protein identification from MS/MS data -- An MCMC-MRF Algorithm for Incorporating Spatial Information in IMS Data
Processing -- Mass Spectrometry Analysis Using MALDIquant -- Model-based analysis of quantitative proteomics data with data independent acquisition mass spectrometry -- The analysis of human serum albumin proteoforms using
compositional framework -- Variability Assessment of Label-Free LC-MS Experiments for Difference Detection -- Statistical approach for biomarker discovery using label-free LC-MS data - an overview -- Bayesian posterior integration for
classification of mass spectrometry data -- Logistic regression modeling on mass spectrometry data in proteomics case-control discriminant studies -- Robust and confident predictor selection in metabolomics -- On the combination of
omics data for prediction of binary Outcomes -- Statistical analysis of lipidomics data in a case-control study
ISBN:9783319458090
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Statistics , Analytical chemistry , Mathematical statistics , Bioinformatics , Biostatistics , Metabolism , Statistics , Statistics for Life Sciences, Medicine, Health Sciences , Biostatistics , Metabolomics , Computational Biology/Bioinformatics , Analytical Chemistry , Probability and Statistics in Computer Science
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Call number:SPRINGER-2016-9783319285887:ONLINE Show nearby items on shelf
Title:Computational Diffusion MRI MICCAI Workshop, Munich, Germany, October 9th, 2015
Author(s):
Date:2016
Size:1 online resource (63 p.)
Note:10.1007/978-3-319-28588-7
Contents:An Efficient Finite Element Solution of the Generalised Bloch-Torrey Equation for Arbitrary Domains: L. Beltrachini et al -- Super-Resolution Reconstruction of Diffusion-Weighted Images using 4D Low-Rank and Total Variation: Feng Shi et al -- Holist ic Image Reconstruction for Diffusion MRI: V. Golkov et al -- Alzheimer’s Disease Classification with Novel Microstructural Metrics from Diffusion-Weighted MRI: T. M. Nir et al -- Brain Tissue Micro-Structure Imaging from Diffusion MRI Using Least Squar es Variable Separation: H. Farooq et al -- Multi-Tensor MAPMRI: How to Estimate Microstructural Information from Crossing Fibers: M. Zucchelli et al -- On the Use of Antipodal Optimal Dimensionality Sampling Scheme on the Sphere for Recovering Intra-Voxel Fibre Structure in Diffusion MRI: A.P. Bates et al -- Estimation of Fiber Orientations Using Neighborhood Information: C. Ye et al -- A framework for creating population specific multimodal brain atlas using clinical T1 and diffusion tensor
images: V. Gupta et al -- Alignment of Tractograms as Linear Assignment Problem: N. Sharmin -- Accelerating Global Tractography Using Parallel Markov Chain Monte Carlo: H. Wu et al -- Adaptive Enhancement in Diffusion MRI Through Propagator Sharpeni ng: T. Dela Haije et al -- Angular Resolution Enhancement of Diffusion MRI Data Using Inter-Image Information Transfer: Geng Chen et al -- Crossing versus Fanning: Model Comparison Using HCP Data: A. Ghosh et al -- White Matter Fiber Set Simplification by Redundancy Reduction with Minimum Anatomical Information Loss: G. Zimmerman Moreno et al -- A Temperature Phantom to Probe the Ensemble Average Propagator Asymmetry: an In-Silico Study: M. Pizzolato et al -- Registration Strategies for Whole-Body Diffusi on-Weighted MRI Stitching: J. Ceranka et al -- HARDI Feature Selection, Registration and Atlas Building for A$\beta$ Pathology Classification: E. Schwab et al -- Reliability of Structural Connectivity Examined with Four Different Diffusion
Reconstruction Methods at Two Different Spatial and Angular Resolutions: J. E. Villalon-Reina et al
ISBN:9783319285887
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer simulation , Image processing , Bioinformatics , Computer mathematics , Visualization , Statistics , Mathematics , Visualization , Computational Biology/Bioinformatics , Computational Science and Engineering , Simulation and Modeling , Image Processing and Computer Vision , Statistics for Life Sciences, Medicine, Health Sciences
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Call number:SPRINGER-2014-9781461488361:ONLINE Show nearby items on shelf
Title:Solid-State Electronic Devices [electronic resource] : An Introduction
Author(s): Christo Papadopoulos
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:A modern and concise treatment of the Solid-State Electronic Devices that are fundamental to electronic systems and information technology is provided in this book. The main devices that comprise semiconductor integrated circuitsare covered in a clea r manner accessible to the wide range of scientific and engineering disciplines that are impacted by this technology. As the field of electronic materials and devices becomes more interdisciplinary, catering to awider audience is becoming increasingly imp ortant with applications in biology, chemistry and electro-mechanical devices (to name a few) becoming more prevalent. Updated and state-of-the-art advancements are included along withemerging trends in electronic devices and their applications. In additi on, an appendix containing the relevant physical background is included to assist readers from diff erent disciplines and provide a review for those more familiarwith the area. Readers of this book can expect to derive a strong foundation for understandin g modern electronic devices and also be prepared for future developments and advancements in this far-reaching area of science andtechnology
Contents:Preface
Chapter 1 Introduction
Chapter 2 Junctions and Diodes
Chapter 3 Bipolar transistors
Chapter 4 Field Effect Transistors
Chapter 5
Emerging Devices for Electronics and Beyond
Appendix I
A.1 Quantum mechanics
A.2 Semiconductor physics
A.3 Outline of semiconductor planar processing
Appendix II Useful data
Bibliography
List of Symbols
Index
ISBN:9781461488361
Series:eBooks
Series:SpringerLink
Series:Undergraduate Lecture Notes in Physics, 2192-4791
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering , Electronics
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Call number:SPRINGER-2013-9783642328824:ONLINE Show nearby items on shelf
Title:Mathematical Modeling and Validation in Physiology [electronic resource] : Applications to the Cardiovascular and Respiratory Systems
Author(s): Jerry J Batzel
Mostafa Bachar
Franz Kappel
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume synthesizes theoretical and practical aspects of both the mathematical and life scienceviewpoints needed for modeling ofthe cardiovascular-respiratory system specifically andphysiological systems generally.Theoretical points include model design,model complexity and validation in the light of available data, as well as control theory approachesto feedback delayand Kalman filter applications toparameter identification. State ofthe art approaches using parameter sensitivity are discussed fo renhancing modelidentifiability through joint analysis ofmodel structure and data. Practical examples illustratemodel development at various levels of complexitybased on given physiological information. The sensitivity-based approaches for examining model identifiability are illustrated by means of specific modeling examples. The themes presented address the current problem ofpatient-specific model adaptation in the clinical setting, where data is typically limited
Note:Springer eBooks
Contents:1 Merging Mathematical and Physiological Knowledge: Dimensions and Challenges
2 Mathematical Modeling of Physiological Systems
3Parameter Selection Methods in Inverse Problem Formulation
4 Application of the Unscented Kalman Filtering to Parameter Estimation
5 Integrative and Reductionist Approaches to Modeling of Control of Breathing
6 Parameter Identification in a Respiratory Control System Model with Delay
7 Experimental Studies of Respiration and Apnea
8 Model Validation and Control Issues in the Respiratory System
9 Experimental Studies of the Baroreflex
10 De
ISBN:9783642328824
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Mathematics, 0075-8434 : v2064
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Human physiology , Biology Data processing
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Call number:SPRINGER-2012-9789400713666:ONLINE Show nearby items on shelf
Title:Numerical Methods with Worked Examples: Matlab Edition [electronic resource]
Author(s): C Woodford
C Phillips
Date:2012
Edition:Second Edition
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book is for students following an introductory course in numerical methods, numerical techniques or numerical analysis. It introduces MATLAB as a computing environment for experimenting with numerical methods. It approachesthe subject from a pra gmatic viewpoint theory is kept at a minimum commensurate with comprehensive coverage of the subject and it contains abundant worked examples which provide easy understanding through a clear and concisetheoretical treatment. This edition places even great er emphasis on learning by doing than the previous edition. Fully documented MATLAB code for the numerical methods described in the book will be available as supplementarymaterial to to the book on http://extras.springer.com
Note:Springer eBooks
Contents:1. Basic Matlab
2. Linear Equations
3.Nonlinear Equations
4.Curve Fitting
5.Numerical Integration
6.Numerical Differentiation
7. Linear Programming
8.Optimization
9.Ordinary Differential Equations
10.Eigenvalues and Eigenvectors
11. Statistics
ISBN:9789400713666
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Chemistry , Biology Data processing , Engineering mathematics
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Call number:SPRINGER-2012-9780817648015:ONLINE Show nearby items on shelf
Title:Parametric Statistical Change Point Analysis [electronic resource] : With Applications to Genetics, Medicine, and Finance
Author(s): Jie Chen
Arjun K Gupta
Date:2012
Edition:Second Edition
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Overall, the book gives a clear and systematic presentation of models and methods. It will be an excellent source for theoretical and applied statisticians who are interested in research on change-point analysis and itsapplications to many areas. Mat hematical Reviews (Review of the First Edition) Revised and expanded, Parametric Statistical Change Point Analysis, Second Edition is an in-depth study of the change point problem from a generalpoint of view, and a deeper look at change point analysis of the most commonly used statistical models. For some time, change point problems have appeared throughout the sciences in such disciplines as economics, medicine, psychology,signal processing, and geology more recently, they havealso been found extensively in applications related to biomedical imaging data, array Comparative Genomic Hybridization (aCGH) data, and gene expression data. These areas ofinterestnew and oldhave motivated substantial research on change point problems and led to a significant body of literature in the field. The present monograph stands as a valuable contribution to this literature. Key featuresand topics: * Clear and systematic exposition with a great deal of introductory material included * Different models in each chapter, incl uding gamma and exponential models, rarely examined thus far in the literature *Extensive examples to emphasize key concepts and different methodologies used, namely the likelihood ratio criterion as well as the Bayesian and information criterion approach es * An up-to-date comprehensive bibliography and twoindices. New to the Second Edition: * New examples of change point analysis in modern molecular biology and other fields such as finance and air traffic control * Two new sections of applications of the underlying change pointmodels in analyzing the array Comparative Genomic Hybridization (aCGH) data for DNA copy number changes * A new chapter on change points in the
Note:Springer eBooks
Contents:Preface
Preliminaries
Introduction
Univariate Normal Model
Multivariate Normal Model
Regression Model
Gamma Model
Exponential Model
Change Point Model for the Hazard Function
Discrete Models
Other Models
Bibliography
Author Index
Subject Index
ISBN:9780817648015
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematics , Distribution (Probability theory) , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2011-9783642194955:ONLINE Show nearby items on shelf
Title:Fundamentals of Scientific Computing [electronic resource]
Author(s): Bertil Gustafsson
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book of nature is written in the language of mathematics -- Galileo Galilei How is it possible to predict weather patterns for tomorrow, with access solely to todays weather data? And how is it possible to predict theaerodynamic behavior of an a ircraft that has yet to be built? The answer is computer simulations based on mathematical models sets of equations that describe the underlying physical properties. However, these equations areusually much too complicated to solve, either by the smarte st mathematician or the largest supercomputer. This problem is overcome by constructing an approximation: a numerical model with a simpler structure can be translated into aprogram that tells the computer how to carry out the simulation. This book conveys the fundamentals of mathematical models, numerical methods and algorithms. Opening with a tutorial on mathematical models and analysis, it proceeds tointroduce the most important classes of numerical methods, with finite element, finite difference and sp ectral methods as central tools. The concluding section describes applications in physics and engineering, including wavepropagation, heat conduction and fluid dynamics. Also covered are the principles of computers and programming, including MATLAB
Note:Springer eBooks
Contents:Part I Models and elementary mathematics
Part II Fundamentals in numerical analysis
Part III Numerical methods for differential equations
Part IV Numerical methods for algebraic equations
Part V Applications
References
Index
ISBN:9783642194955
Series:e-books
Series:SpringerLink (Online service)
Series:Texts in Computational Science and Engineering, 1611-0994 : v8
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer simulation , Biology Data processing , Computer science Mathematics , Computer science , Engineering mathematics
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Call number:SPRINGER-2011-9783642178412:ONLINE Show nearby items on shelf
Title:Chemometrics with R [electronic resource] : Multivariate Data Analysis in the Natural Sciences and Life Sciences
Author(s): Ron Wehrens
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Chemometrics with R offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a complete description of the general data analysis paradigm, from exploratory analysis tomodeling to validation. Se veral more specific topics from the area of chemometrics are included in a special section. The corresponding R code is provided for all the examples in the book scripts, functions and data are available in aseparate, publicly available R package. For res earchers working in the life sciences, the book can also serve as an easy-to-use primer on R
Note:Springer eBooks
Contents:Introduction
Part I Preliminaries: Data
Preprocessing
Part II Exploratory Analysis: Principal Component Analysis
Self
Organizing Maps
Clustering
Part III Modelling: Classification
Multivariate Regression
Part IV Model Inspection: Validation
Variable Selection
Part V Applications: Chemometric
Part VI Appendices: R packages Used in This Book
References
Index
ISBN:9783642178412
Series:e-books
Series:SpringerLink (Online service)
Series:Use R
Series:Mathematics and Statistics (Springer-11649)
Keywords: Life sciences , Chemistry , Bioinformatics , Biology Data processing , Statistics
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Call number:SPRINGER-2010-9783642112997:ONLINE Show nearby items on shelf
Title:Elements of Scientific Computing [electronic resource]
Author(s): Aslak Tveito
Hans Petter Langtangen
Bjrn Frederik Nielsen
Xing Cai
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Science used to be experiments and theory, now it is experiments, theory and computations. The computational approach to understanding nature and technology is currently flowering in many fields such as physics, geophysics,astrophysics, chemistry, bi ology, and most engineering disciplines. This book is a gentle introduction to such computational methods where the techniques are explained through examples. It is our goal to teach principles and ideas thatcarry over from field to field. You will learn basic methods and how to implement them. In order to gain the most from this text, you will need prior knowledge of calculus, basic linear algebra and elementary programming
Note:Springer eBooks
Contents:Computing Integrals
Differential Equations: The First Steps
Systems of Ordinary Differential Equations
Nonlinear Algebraic Equations
The Method of Least Squares
About Scientific Software
The Diffusion Equation
Analysis of the Diffusion Equation
Parameter Estimation and Inverse Problems
A Glimpse ofParallel Computing
Index
ISBN:9783642112997
Series:e-books
Series:SpringerLink (Online service)
Series:Texts in Computational Science and Engineering, 1611-0994 : v7
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Biology Data processing , Computer science Mathematics , Computer science , Engineering
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Call number:SPRINGER-2009-9781441900838:ONLINE Show nearby items on shelf
Title:Computer Simulation and Data Analysis in Molecular Biology and Biophysics [electronic resource] : An Introduction Using R
Author(s): Victor Bloomfield
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book provides an introduction, suitable for advanced undergraduates and beginning graduate students, to two important aspects of molecular biology and biophysics: computer simulation and data analysis. It introduces tools toenable readers to lea rn and use fundamental methods for constructing quantitative models of biological mechanisms, both deterministic and with some elements of randomness, including complex reaction equilibria and kinetics, populationmodels, and regulation of metabolism and d evelopment to understand how concepts of probability can help in explaining important features of DNA sequences and to apply a useful set of statistical methods to analysis of experimentaldata from spectroscopic, genomic, and proteomic sources. These quan titative tools are implemented using the free, open source software program R. R provides an excellent environment for general numerical and statistical computing andgraphics, with capabilities similar to Matlab. Since R is increasingly used in bioinforma tics applications such as the BioConductor project, it can serve students as their basic quantitative, statistical, and graphics tool as theydevelop their careers
Note:Springer eBooks
Contents:Part I: The Basics of R. Calculating with R. Plotting with R. Functions and Programming. Data and Packages
Part II: Simulation of Biological Processes. Equilibrium and Steady State Calculations. Differential Equations and Reaction Kinetics. Population Models. Compartmental Models. Regulation of Metabolism. Regulation ofTranscription and Development
Part III: Analyzing DNA and Protein Sequences. Probability, Stochastic Processes, and Markov Chains. DNA Sequence Analysis
Part IV: Statistical Analysis in Molecular Biology and Biophysics. Statistical Analysis of Data
Microarrays
ISBN:9781441900838
Series:e-books
Series:SpringerLink (Online service)
Series:Biological and Medical Physics, Biomedical Engineering, 1618-7210
Series:Physics and Astronomy (Springer-11651)
Keywords: Bioinformatics , Biochemistry , Cytology , Biology Data processing , Biomedical engineering
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Call number:SPRINGER-2009-9781402099274:ONLINE Show nearby items on shelf
Title:Polygons, Polyominoes and Polycubes [electronic resource]
Author(s): Anthony J Guttman
Date:2009
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This unique book gives a comprehensive account of new mathematical tools used to solve polygon problems. In the 20th and 21st centuries, many problems in mathematics, theoretical physics and theoretical chemistry and morerecently in molecular biolog y and bio-informatics can be expressed as counting problems, in which specified graphs, or shapes, are counted. One very special class of shapes is that of polygons. These are closed, connected paths inspace. We usually sketch them in two-dimensions, but they can exist in any dimension. The typical questions asked include how many are there of a given perimeter?, how big is the average polygon of given perimeter?, andcorresponding questions about the area or volume enclosed. That is to say how many enclo sing a given area? and how large is an average polygon of given area? Simple though these questions are to pose, they are extraordinarilydifficult to answer. They are important questions because of the application of polygon, and the related problems of p olyomino and polycube counting, to phenomena occurring in the natural world, and also because the study of theseproblems has been responsible for the development of powerful new techniques in mathematics and mathematical physics, as well as in computer sc ience. These new techniques then find application more broadly. The book brings togetherchapters from many of the major contributors in the field. An introductory chapter giving the history of the problem is followed by fourteen further chapters describin g particular aspects of the problem, and applications to biology, tosurface phenomena and to computer enumeration methods
Note:Springer eBooks
ISBN:9781402099274
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Physics, 0075-8450 : v775
Series:Physics and Astronomy (Springer-11651)
Keywords: Chemistry Mathematics , Electronic data processing , Algorithms , Combinatorics , Mathematical physics , Engineering
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Call number:SPRINGER-2009-9781402091438:ONLINE Show nearby items on shelf
Title:Complex Dynamics in Physiological Systems: From Heart to Brain [electronic resource]
Author(s): Syamal K Dana
Prodyot K Roy
Jrgen Kurths
Date:2009
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Nonlinear dynamics has become an important field of research in recent years in many areas of the natural sciences. In particular, it has potential applications in biology and medicine nonlinear data analysis has helped todetect the progress of cardi ac disease, physiological disorders, for example episodes of epilepsy, and others. This book focuses on the current trends of research concerning the prediction of sudden cardiac death and the onset ofepileptic seizures, using the nonlinear analysis based on ECG and EEG data. Topics covered include the analysis of cardiac models and neural models. The book is a collection of recent research papers by leading physicists,mathematicians, cardiologists and neurobiologists who are actively involved in using th e concepts of nonlinear dynamics to explore the functional behaviours of heart and brain under normal and pathological conditions. This collectionis intended for students in physics, mathematics and medical sciences, and researchers in interdisciplinary a reas of physics and biology
Note:Springer eBooks
Contents:Data Analysis
A Unified Approach to Attractor Reconstruction
Multifractal Analysis of Physiological Data: A Non
Subjective Approach
Direction of Information Flow Between Heart Rate, Blood Pressure and Breathing
Cardiovascular Physics: Modelling
The Mathematical Modelling of Inhomogeneities in Ventricular Tissue
Controlling Spiral Turbulence in Simulated Cardiac Tissue by Low
Amplitude Traveling Wave Stimulation
Suppression of Turbulent Dynamics in Models of Cardiac Tissue by Weak Local Excitations
Synchronization Phenomena in Networks of Oscillatory and Excitable Luo
Ru
ISBN:9781402091438
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Medicine , Biology Data processing , Biomedical engineering , Statistics , Engineering
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Call number:SPRINGER-2009-9780387848587:ONLINE Show nearby items on shelf
Title:The Elements of Statistical Learning [electronic resource] Data Mining, Inference, and Prediction
Author(s): Trevor Hastie
Robert Tibshirani
Jerome Friedman
Date:2009
Edition:Second Edition
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge ofunderstanding these data ha s led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are oftenexpressed with different terminology. This book d escribes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples aregiven, with a liberal use of color graphics. It is a valuable resource f or statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervisedlearning. The many topics include neural networks, support vector machines, classification tre es and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in theoriginal, including graphical models, random forests, ensemble methods, least angle regression and path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for``wide'' data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in thisarea: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling softw are and environment in R/S-PLUS and invented principal curves andsurfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inve
Note:Springer eBooks
Contents:Overview of Supervised Learning
Linear Methods for Regression
Linear Methods for Classification
Basis Expansions and Regularization
Kernel Smoothing Methods
Model Assessment and Selection
Model Inference and Averaging
Additive Models, Trees, and Related Methods
Boosting and Additive Trees
Neural Networks
Support Vector Machines and Flexible Discriminants
Prototype Methods and Nearest
Neighbors
Unsupervised Learning
Random Forests
Ensemble Learning
Undirected Graphical Models
High
Dimensional Problems: p ? N
ISBN:9780387848587
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Artificial intelligence , Bioinformatics , Biology Data processing , Mathematical statistics
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Call number:SPRINGER-2009-9780387709840:ONLINE Show nearby items on shelf
Title:Mathematical Biology [electronic resource] : An Introduction with Maple and Matlab
Author(s): Ronald W Shonkwiler
James Herod
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This text presents mathematical biology as a field with a unity of its own, rather than only the intrusion of one science into another. It updates an earlier successful edition and greatly expands the concept of the computerbiology laboratory, giving students a general perspective of the field before proceeding to more specialized topics. The book focuses on problems of contemporary interest, such as cancer, genetics, and the rapidly growing field ofgenomics. It includes new chapters on parasites, ca ncer, and phylogenetics, along with an introduction to online resources for DNA, protein lookups, and popular pattern matching tools such as BLAST. In addition, the emerging field ofalgebraic statistics is introduced and its power illustrated in the conte xt of phylogenetics. A unique feature of the book is the integration of a computer algebra system into the flow of ideas in a supporting but unobtrusive role.Syntax for both the Maple and Matlab systems is provided in a tandem format. The use of a compute r algebra system gives the students the opportunity to examine what if scenarios, allowing them to investigate biological systems in away never before possible. For students without access to Maple or Matlab, each topic presented is complete. Graphic visu alizations are provided for all mathematical results. Mathematical Biology includes extensive exercises, problemsand examples. A year of calculus with linear algebra is required to understand the material presented. The biology presented proceeds from the study of populations down to the molecular level no previous coursework in biology isnecessary. The book is appropriate for undergraduate and graduate students studying mathematics or biology and for scientists and researchers who wish to study the appli cations of mathematics and computers in the natural sciences
Note:Springer eBooks
Contents:Biology, Mathematics and a Mathematical Biology Laboratory
Some Mathematical Tools
Reproduction of the Drive for Survival
Interactions Between Organisms and Their Environment
Age
Dependent Population Structures
Random Movements in Space and Time
The Biological Disposition of Drugs and Inorganic Toxins
Neurophysiology
The Biochemistry of Cells
The Biological Disposition of Drugs and Inorganic Toxins
A Biomathematical Approach to HIV and AIDS
Parasites and Their Diseases
Genetics
Genomics
Phylogenetics
ISBN:9780387709840
Series:e-books
Series:SpringerLink (Online service)
Series:Undergraduate Texts in Mathematics, 0172-6056
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Biology Data processing , Biology Mathematics , Distribution (Probability theory)
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Call number:SPRINGER-2008-9783540726302:ONLINE Show nearby items on shelf
Title:Visualization in Medicine and Life Sciences [electronic resource]
Author(s): Lars Linsen
Hans Hagen
Bernd Hamann
Date:2008
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Visualization technology is becoming increasingly important for medical and biomedical data processing and analysis. This technology complements traditional image processing methods as it allows scientists to visually interactwith large, high- resolu tion three-dimensional image data, for example. Further, an ever increasing number of new data acquisition methods are being used in medicine and the life sciences, in particular in genomics and proteomics. Thisbook discusses some of the latest visualizat ion techniques and systems for effective analysis of such diverse, large, complex, and multi-source data. Experts from all over the world had been invited to participate in a workshop held inJuly 2006 on the island Rgen in Germany. About 40 participants p resented state-of-the-art research on the topic. Research and survey papers have been solicited and carefully refereed, resulting in this collection. The topics coveredinclude Segmentation and Feature Detection, Surface Extraction, Volume Visualization, G raph and Network Visualization, Visual Data Exploration, Multivariate and Multidimensional Data Visualization, Large Data Visualization. The bookwill be of great interest to researchers, graduate students, and professionals dealing with visualization and its application in medicine and life sciences
Note:Springer eBooks
ISBN:9783540726302
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Visualization, 1612-3786
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer graphics , Computer vision , Biology Data processing , Computer science , Visualization
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Call number:SPRINGER-2008-9780387790541:ONLINE Show nearby items on shelf
Title:Introductory Statistics with R [electronic resource]
Author(s): Peter Dalgaard
Date:2008
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis andmethodological development. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples withliberal commenting of the code and the output, from t he computational as well as the statistical viewpoint. A supplementary R package can be downloaded and contains the data sets. The statistical methodology includes statisticalstandard distributions, one- and two-sample tests with continuous data, regressi on analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last sixchapters contain introductions to multiple linear regression analysis, linear models in general, logi stic regression, survival analysis, Poisson regression, and nonlinear regression. In the second edition, the text and code have beenupdated to R version 2.6.2. The last two methodological chapters are new, as is a chapter on advanced data handling. The in troductory chapter has been extended and reorganized as two chapters. Exercises have been revised and answersare now provided in an Appendix. Peter Dalgaard is associate professor at the Department of Biostatistics at the University of Copenhagen and has extensive experience in teaching within the PhD curriculum at the Faculty of HealthSciences. He has been a member of the R Core Team since 1997
Note:Springer eBooks
ISBN:9780387790541
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics and Computing, 1431-8784
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Bioinformatics , Biology Data processing , Mathematical statistics
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Call number:SPRINGER-2008-9780387772400:ONLINE Show nearby items on shelf
Title:Bioconductor Case Studies [electronic resource]
Author(s): Florian Hahne
Wolfgang Huber
Robert Gentleman
Seth Falcon
Date:2008
Edition:1
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments. Its application spans a broad field of technologies used in contemporary molecular biology. Inthis volume, the auth ors present a collection of cases to apply Bioconductor tools in the analysis of microarray gene expression data. Topics covered include * import and preprocessing of data from various sources * statisticalmodeling of differential gene expression * biolog ical metadata * application of graphs and graph rendering * machine learning for clustering and classification problems * gene set enrichment analysis Each chapter of this book describesan analysis of real data using hands-on example driven approaches. Sh ort exercises help in the learning process and invite more advanced considerations of key topics. The book is a dynamic document. All the code shown can be executedon a local computer, and readers are able to reproduce every computation, figure, and table . The authors of this book have longtime experience in teaching introductory and advanced courses to the application of Bioconductor software.Florian Hahne is a Postdoc at the Fred Hutchinson Cancer Research Center in Seattle, developing novel methodologi es for the analysis of high-throughput cell-biological data. Wolfgang Huber is a research group leader in the EuropeanMolecular Biology Laboratory at the European Bioinformatics Institute in Cambridge. He has wide-ranging experience in the development of methods for the analysis of functional genomics experiments. Robert Gentleman is Head of theProgram in Computational Biology at the Fred Hutchinson Cancer Research Center in Seattle, and he is one of the two authors of the original R system. Seth Falcon i s a member of the R core team and former project manager and developerfor the Bioconductor project
Note:Springer eBooks
Contents:The ALL Dataset
R and Bioconductor Introduction
Processing Affymetrix Expression Data
Two Color Arrays
Fold Changes, Log Ratios, Background Correction, Shrinkage Estimation, and Variance Stabilization
Easy Differential Expression
Differential Expression
Annotation and Metadata
Supervised Machine Learning
Unsupervised Machine Learning
Using Graphs for Interactome Data
Graph Layout
Gene Set Enrichment Analysis
Hypergeometric Testing Used for Gene Set Enrichment Analysis
Solutions to Exercises
ISBN:9780387772400
Series:e-books
Series:SpringerLink (Online service)
Series:Use R!
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Bioinformatics , Biology Mathematics
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Call number:SPRINGER-2007-9781402063169:ONLINE Show nearby items on shelf
Title:Evolving Methods for Macromolecular Crystallography [electronic resource] : The Structural Path to the Understanding of the Mechanismof Action of CBRN Agents
Author(s): Randy J Read
Joel L Sussman
Date:2007
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:X-ray crystallography is the pre-eminent technique for visualizing the structures of macromolecules at atomic resolution. These structures are central to understanding the detailed mechanisms of biological processes, and todiscovering novel therapeut ics using a structure-based approach. As yet, structures are known for only a small fraction of the proteins encoded by human and pathogenic genomes. To counter the myriad modern threats of disease, there isan urgent need to determine the structures of th e thousands of proteins whose structure and function remain unknown. This volume draws on the expertise of leaders in the field of macromolecular crystallography to illuminate thedramatic developments that are accelerating progress in structural biology. Their contributions span the range of techniques from crystallization through data collection, structure solution and analysis, and show how modernhigh-throughput methods are contributing to a deeper understanding of medical problems
Note:Springer eBooks
Contents:Preface. Succeeding with Seeding: some practical Advice
Expression, Purification and Crystallisation of membrane Proteins
Macromolecular Cryo
Crystallography
Processing Diffraction Data with Mosfim
SAD Phasing: basic Concepts and High
Throughput
Likelihood
based experimental phasing in Phaser
Stochastic molecular Replacement
Likelihood
based molecular Replacement in Phaser
Automated Structure Determination with PHENIX
Density Modification in MAIN
Ab initio Phasing starting from Low Resolution
Structural Genomics of Mycobacterium tuberculosis
a Search for Functi
ISBN:9781402063169
Series:e-books
Series:SpringerLink (Online service)
Series:NATO Science Series, 1568-2609 : v245
Series:Physics and Astronomy (Springer-11651)
Keywords: Bioinformatics , Biology Data processing , Crystallography
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Call number:SPRINGER-2006-9783540334378:ONLINE Show nearby items on shelf
Title:Computing the Electrical Activity in the Heart [electronic resource]
Author(s): Joakim Sundnes
Glenn Terje Lines
Xing Cai
Bjrn Fredrik Nielsen
Kent-Andre Mardal
Aslak Tveito
Date:2006
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book describes mathematical models and numerical techniques for simulating the electrical activity in the heart. The book gives an introduction to the most important models of the field, followed by a detailed description ofnumerical techniques for the models. Particular focus is on efficient numerical methods for large scale simulations on both scalar and parallel computers. The results presented in the book will be of particular interest to researchersin bioengineering and computational biolog y, who face the challenge of solving these complex mathematical models efficiently. The book will also serve as a valuable introduction to a new and exciting field for computational scientistsand applied mathematicians
Note:Springer eBooks
ISBN:9783540334378
Series:e-books
Series:SpringerLink (Online service)
Series:Monographs in Computational Science and Engineering, 1863-0111 : v1
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Cardiology , Biology Data processing , Physiology Mathematics , Computer science , Engineering mathematics
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Call number:SPRINGER-2006-9781402049958:ONLINE Show nearby items on shelf
Title:Intelligent Algorithms in Ambient and Biomedical Computing [electronic resource]
Author(s): Wim Verhaegh
Emile Aarts
Jan Korst
Date:2006
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The rapid growth in electronic systems in the past decade has boosted research in the area of computational intelligence. As it has become increasingly easy to generate, collect, transport, process, and store huge amounts of data,the role of intellig ent algorithms has become prominent in order to visualize, manipulate, retrieve, and interpret the data. For instance, intelligent search techniques have been developed to search for relevant items in hugecollections of web pages, and data mining and inte rpretation techniques play a very important role in making sense out of huge amounts of biomolecular measurements. As a result, the added value of many modern systems is no longerdetermined by hardware only, but increasingly by the intelligent software th at supports and facilitates the user in realizing his or her objectives. This book is the outcome of a series of discussions at the Philips Symposium onIntelligent Algorithms, which was held in Eindhoven in December 2004. It contains many exciting and pra ctical examples of the use of intelligent algorithms in the areas of ambient and biomedical computing. It contains topics such asbioscience computing, database design, machine consciousness, scheduling, video summarization, audio classification, semantic reasoning, machine learning, tracking & localization, secure computing, and communication
Note:Springer eBooks
Contents:Part I Healthcare
1. Bioscience Computing and the Role of Computational Simulation in Biology
2. The Many Strands of DNA Computing
3. Bio
Inspired Data Management
4. An Introduction to Machine Consciousness
Part II Lifestyle
5. Optimal Selection of TV Shows for Watching and Recording
6. Movie
in
a
Minute: Automatically Generated Video Previews
7. Features for Audio Classification: Percussiveness References
8. Extracting the Key from Music
9. Approximate Semantic Matching of Music Classes on the Internet
10. Ontology
Based Information Extraction from the World Wid
ISBN:9781402049958
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Multimedia systems , Artificial intelligence , Biology Data processing , Algorithms
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Call number:SPRINGER-2006-9780387312620:ONLINE Show nearby items on shelf
Title:Computer Algebra Recipes [electronic resource] : An Introductory Guide to the Mathematical Models of Science
Author(s): Richard H Enns
George C McGuire
Date:2006
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Computer algebra systems are revolutionizing the teaching, the learning, and the exploration of science. Not only can students and researchers work through mathematical models more efficiently and with fewer errors than withpencil and paper, they can also easily explore, both analytically and numerically, more complex and computationally intensive models. Aimed at science and engineering undergraduates at the sophomore/junior level, this introductoryguide to the mathematical models of science is fill ed with examples from a wide variety of disciplines, including biology, economics, medicine, engineering, game theory, mathematics, physics, and chemistry. The topics are organizedinto the Appetizers dealing with graphical aspects, the Entrees concentrati ng on symbolic computation, and the Desserts illustrating numerical simulation. The heart of the text is a large number of computer algebra recipes based on theMaple 10 software system. These have been designed not only to provide tools for problem solvin g, but also to stimulate the readers imagination. Associated with each recipe is a scientific model or method and an interesting oramusing story (accompanied with a thought-provoking quote) that leads the reader through the various steps of the recipe. Th is text is the first of two volumes. The advanced guide, aimed at junior/senior/graduate level students,deals with more advanced differential equation models
Note:Springer eBooks
Contents:The Appetizers
The Pictures of Science
Deriving Model Equations
The Entrees
Algebraic Models. Part I
Algebraic Models. Part II
Linear ODE Models
Difference Equation Models
The Desserts
Monte Carlo Methods
Fractal Patterns
ISBN:9780387312620
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Algebra Data processing , Computer simulation , Computer software , Mathematical physics , Engineering mathematics
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Call number:SPRINGER-2005-9783540315445:ONLINE Show nearby items on shelf
Title:Tutorials in Mathematical Biosciences I [electronic resource] : Mathematical Neuroscience
Author(s): Alla Borisyuk
Avner Friedman
Bard Ermentrout
David Terman
Date:2005
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume introduces some basic theories on computational neuroscience. Chapter 1 is a brief introduction to neurons, tailored to the subsequent chapters. Chapter 2 is a self-contained introduction to dynamical systems andbifurcation theory, orient ed towards neuronal dynamics. The theory is illustrated with a model of Parkinson's disease. Chapter 3 reviews the theory of coupled neural oscillators observed throughout the nervous systems at all levels itdescribes how oscillations arise, what pattern they take, and how they depend on excitory or inhibitory synaptic connections. Chapter 4 specializes to one particular neuronal system, namely, the auditory system. It includes aself-contained introduction, from the anatomy and physiology of the inner ear to the neuronal network that connects the hair cells to the cortex, and describes various models of subsystems
Note:Springer eBooks
Contents:Preface
A. Friedman: Introduction to Neurons
D. Terman: An Introduction to Dynamical Systems and Neuronal Dynamics
B. Ermentrout: Neural Oscillators
A. Borisyuk: Physiology and Mathematical Modeling of the Auditory System
ISBN:9783540315445
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Mathematics, Mathematical Biosciences, 1617-9692 : v1860
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Biology Data processing , Neurobiology , Differential Equations , Differential equations, partial , Biology Mathematics , Computer science Mathematics
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Call number:SPRINGER-2005-9780387291437:ONLINE Show nearby items on shelf
Title:Measurement Errors and Uncertainties [electronic resource] : Theory and Practice
Author(s): Semyon G Rabinovich
Date:2005
Edition:Third Edition
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Measurement Errors and Uncertainties addresses the most important problems that physicists and engineers encounter when estimating errors and uncertainty. Building from the fundamentals of measurement theory, the author developsthe theory of accuracy of measurements and offers a wealth of practical recommendations and examples of applications. This new edition covers a wide range of subjects, including: - Basic concepts of metrology - Measuring instrumentscharacterization, standardization and calibra tion -Estimation of errors and uncertainty of single and multiple measurements - Modern probability-based methods of estimating measurement uncertainty With this new edition, the authorcompletes the development of the new theory of indirect measurements. This theory provides more accurate and efficient methods for processing indirect measurement data. It eliminates the need to calculate the correlation coefficient -a stumbling block in measurement data processing - and offers for the first time a way to o btain the confidence intervals. In other words, this new theory provides means to calculate a well-grounded estimate of measurement uncertaintyfor this complex but widely used type of measurements. Acclaim for previous editions: Extremely useful to metrol ogists and to anyone interested in measurement errors (MEASUREMENT SCIENCE AND TECHNOLOGY) I suggest that everytechnical library should own a copy of Measurement Errors. Serious experimentalists whose interests are broad will surely want to examine the bo ok with the intent of buying it. (Applied Mechanics Review)
Note:Springer eBooks
Contents:General information about measurements
Measuring instruments and their properties
Prerequisites for the analysis of the inaccuracy of measurements and for synthesis of their components
Statistical methods for experimental data processing
Direct measurements
Indirect measurements
Examples of Measurements and Measurement Data Processing
Combined measurements
Combining the results of measurements
Calculation of the errors of measuring instruments
Problems in the theory of calibration
Conclusions
ISBN:9780387291437
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Chemistry Mathematics , Biology Mathematics , Weights and measures
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Call number:SPRINGER-2005-9780387243689:ONLINE Show nearby items on shelf
Title:Structural Biology: Practical NMR Applications [electronic resource]
Author(s): Quincy Teng
Date:2005
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This textbook begins with an overview of NMR development and applications in biological systems. It describes recent developments in instrument hardware and methodology. Chapters highlight the scope and limitation of NMR methods.While detailed math a nd quantum mechanics dealing with NMR theory have been addressed in several well-known NMR volumes, chapter two of this volume illustrates the fundamental principles and concepts of NMR spectroscopy in a moredescriptive manner. Topics such as instrument s etup, data acquisition, and data processing using a variety of offline software are discussed. Chapters further discuss several routine stategies for preparing samples, especially formacromolecules and complexes. The target market for such a volume includ es researchers in the field of biochemistry, chemistry, structural biology and biophysics
Note:Springer eBooks
Contents:Preface
Basic Principles of NMR
Instrumentation
NMR Sample Preparation
Practical Aspects
Multidimensional Heteronuclear NMR Experiments
Studies of Small Biological Molecules
Protein Structure Determination From NMR Data
Protein Dynamics
Multiple Choice Questions
Nomenclature and Symbols
Index
ISBN:9780387243689
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Biotechnology , Biochemistry , Biomedical engineering
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Call number:SPRINGER-2003-9783662055946:ONLINE Show nearby items on shelf
Title:Adaptivity and Learning An Interdisciplinary Debate
Author(s):
Date:2003
Size:1 online resource (403 p.)
Note:10.1007/978-3-662-05594-6
Contents:Adaptivity and Learning — an Interdisciplinary Debate -- I Biology and Behaviour of Adaptation and Learning -- Biology of Adaptation and Learning -- The Adaptive Properties of the Phosphate Uptake System of Cyanobacteria: Information
Storage About Environmental Phosphate Supply -- Cognitive Architecture of a Mini-Brain -- Cerebral Mechanisms of Learning Revealed by Functional Neuroimaging in Humans -- Creating Presence by Bridging Between the Past and the Future:
the Role of Learning and Memory for the Organization of Life -- II Physics Approach to Learning — Neural Networks and Statistics -- The Physics Approach to Learning in Neural Networks -- Statistical Physics of Learning and
Generalization -- The Statistical Physics of Learning: Phase Transitions and Dynamical Symmetry Breaking -- The Complexity of Learning with Supportvector Machines — A Statistical Physics Study -- III Mathematical Models of Learning --
Mathematics Approach to Learning -- Learning and the Art of Fault-Tolerant Guesswork -- Perspectives on Learning Symbolic Data with Connectionistic Systems -- Statistical Learning and Kernel Methods -- Inductive Versus Approximative
Learning -- IV Learning by Experience -- Learning by Experience -- Learning by Experience from Others — Social Learning and Imitation in Animals and Robots -- Reinforcement Learning: a Brief Overview -- A Simple Model for Learning from
Unspecific Reinforcement -- V Human-Like Cognition and AI Learning -- Aspects of Human-Like Cognition and AI Learning -- Making Robots Learn to See -- Using Machine Learning Techniques in Complex Multi-Agent Domains -- Learning
Similarities for Informally Defined Objects -- Semiotic Cognitive Information Processing: Learning to Understand Discourse. A Systemic Model of Meaning Constitution
ISBN:9783662055946
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Philosophy , Computers , Evolutionary biology , Statistical physics , Dynamical systems , Control engineering , Robotics , Mechatronics , Physics , Physics, general , Statistical Physics, Dynamical Systems and Complexity , Control, Robotics, Mechatronics , Computing Methodologies , Philosophy, general , Evolutionary Biology
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Call number:SPRINGER-2003-9783642189913:ONLINE Show nearby items on shelf
Title:Between Data Science and Applied Data Analysis Proceedings of the 26th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Mannheim, July 22–24, 2002
Author(s):
Date:2003
Size:1 online resource (694 p.)
Note:10.1007/978-3-642-18991-3
Contents:Clustering and Discrimination -- Data Analysis and Statistics -- Data Mining, Information Processing, and Automation -- Finance, Marketing, and Management Science -- Biology, Archaeology, and Medicine
ISBN:9783642189913
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Data structures (Computer science) , Database management , Statistics , Computer Science , Database Management , Data Structures, Cryptology and Information Theory , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:SPRINGER-2002-9783642559914:ONLINE Show nearby items on shelf
Title:Classification, Automation, and New Media Proceedings of the 24th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Passau, March 15—17, 2000
Author(s):
Date:2002
Size:1 online resource (535 p.)
Note:10.1007/978-3-642-55991-4
Contents:1: Data Analysis, Statistics, and Classification -- Clustering and Models -- Some New and Some Old Results for the Polytomous Rasch Model -- Some Basic Results on the Extension of Quasi-likelihood Based Measurement Error Correction to
Multivariate and Flexible Structural Models -- On the Optimal Number of Clusters in Histogram Clustering -- The Dual Dynamic Factor Analysis Models -- Joint Non-symmetrical Correspondence Analysis with Ordered Categories -- Regression
Analysis of Extremely Multicollinear Data -- Modern Data Analysis: A Clash of Paradigms -- Two-mode Clustering with Genetic Algorithms -- Exact Tests for the Comparison of Binary Data Structures in Time -- Connected Maximum Split
Clustering of Ladder Graphs -- A Generalization of Two-mode Three-way Asymmetric Multidimensional Scaling -- Central Limit Theorem for Probabilities of Correct Classification -- A New Model for the Analysis of Multitrait-multimethod
Data -- Discrete and Continuous Models for Two-way Data -- 2: Pattern Recognition and Automation -- Towards Feature Fusion — A Classifier on the Basis of Automatically Generated Significant Contour Sections -- Convex Discriminant
Analysis Tools for Non Convex Pattern Recognition -- Sparse Kernel Feature Analysis -- 3: Data Mining, Information Processing, and Automation -- Exploring Association Rules by Interactive Graphics -- Classification of Texts with
Support Vector Machines: An Examination of the Efficiency of Kernels and Data-transformations -- Text Mining with the Help of Cohesion Trees -- New Features of Categorical Principal Components Analysis for Complicated Data Sets,
Including Data Mining -- Supplement of Information: Data Integration by Classification of Pairs of Records -- The Completion of Missing Values by Neural Nets for Data Mining -- Knowledge Landscapes: Clustering Hypermedia Course Content
for Efficient Overviews -- Simplification of Knowledge Discovery using “Structure Classification” -- 4: New Media, Web Mining, and Automation -- Natural Language-based Specification and Fuzzy Logic for the Multimedia Development
Process -- A Tool System for an Object-oriented Approach to Construction and Maintenance of Hypermedia Documents -- Recommendations for Virtual Universities from Observed User Behavior -- Virtual Dialect Areas in the Internet:
“Townchats” -- The Navigation Problem in the World-Wide-Web -- Mining Web Usage Data for Automatic Site Personalization -- Integrating Combinatorial Relationships in a Cartography for Web Site Promotion -- 5: Applications in Management
Science, Finance, and Marketing -- Common Due Date Scheduling — Straddling Jobs and Due Windows — -- Currency Derivatives in German Non-financials: Empirical Evidence on Theoretical Approaches -- Data Visualization and Preparation by
Separating Sales Force Data -- Fuzzy Scenario Evaluation -- Fair Stock Risk Premiums under Firm-specific Price Jumps -- What Components Determine Stock Market Returns in the 1990’s? -- A Comparison of Estimators for Multivariate ARCH
Models -- Pricing of a New Integrated Risk Reinsurance Product -- A Multiple Method Approach for Discrimination and Classification in Marketing Research -- Goodness-of-Fit Measures for Two-mode Cluster Analyses -- On Volatility
Transfers During the Asia Crisis in 1997-1998 -- 6: Applications in Medicine, Biology, Archaeology, and Others -- QTL Mapping in Plant Populations -- Robust Multivariate Methods in Geostatistics -- Resampling Methods in Physical
Mapping -- Validating Dialect Comparison Methods -- Rater Classification on the Basis of Latent Features in Responding to Situations -- Results of Automatic Conversion of Diagnoses from ICD-9 to ICD-10 for Cancer Registration --
Exploring Roman Brick and Tile by Cluster Analysis with Validation of Results -- Relief Intensity and the Formation of the Archaeological Record -- Spatio-Temporal Modeling of Cancer Mortality Rates -- The Classification of Critical
Periods for Melanoma Development due to UV-Radiation -- Classification in the Prescription of Medicaments -- Effects of Independent Non-differential Misclassification on the Attributable Risk -- A New Approach to Discriminant Analysis
with Longitudinal Data -- Author Index
ISBN:9783642559914
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Information technology , Business , Data structures (Computer science) , Coding theory , Pattern recognition , Statistics , Econometrics , Computer Science , Data Structures, Cryptology and Information Theory , Coding and Information Theory , Econometrics , IT in Business , Statistics for Business/Economics/Mathematical Finance/Insurance , Pattern Recognition
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Call number:SPRINGER-2000-9783642597510:ONLINE Show nearby items on shelf
Title:Traffic and Granular Flow ’99 Social, Traffic, and Granular Dynamics
Author(s):
Date:2000
Size:1 online resource (522 p.)
Note:10.1007/978-3-642-59751-0
Contents:Foreword -- Preface -- List of Participants -- Social Dynamics -- Recurrence in Physical and Social Systems -- Econophysics: What Can Physicists Contribute to Economics? -- Catastrophe Effects and Optimal Extensions of Transportation
Flows in the Developing Urban System: A Review -- Evolutionary Models of Innovation Dynamics -- Universality of Group Decision Making -- Formation of Opinions under the Influence of Competing Agents -a Mean Field Approach -- Search for
Intelligence by Motion Analysis -) -- Anticipatory Traffic Forecast Using Multi-Agent Techniques -- Modal Split and Social Dilemmas -- Synthetising Brillouin Information-Thermodynamic Approach with the Social Synergetics Weidlich-Haag
Model -- Biology, Internet, Transport Theory -- Evolution of Molecular Phenotypes - A Physicist’s View of Darwin’s Principle -- Stochastic Resonance and Brownian Machinery: New Results -New Applications - New Goals -- Studies of
Bacterial Cooperative Organization -- Collective Motion and Optimal Self-Organisation in Self-Driven Systems -- Active Brownian Particles with Internal Energy Depot -- Associative Memory of a Pulse-Coupled Noisy Neural Network with
Delays: The Lighthouse Model -- Application of Neural Networks for Predictive and Control Purposes -- Optimizing Traffic in Virtual and Real Space -- Is Boltzmann’s Equation Physically Insufficient? -- Fractional Evolution Equations
and Irreversibility -- Dynamical Theory of Steady State Selection in Open Driven Diffusive Systems -- Application of a Deterministic Scheme for the Boltzmann Equation in Modelling Shock Wave Focusing -- Nonlinear Waves and Moving
Clusters on Rings -- Freezing by Heating in a Pedestrian Model -- Traffic Data and Applications -- Phase Transitions in Traffic Flow -- An Integrated Model of Transport and Urban Evolution (ITEM) -Traffic and City Development in
Emergent Nations -- Statistical Analysis of Freeway Traffic -- Nonlinear Control of Stop-and-Go Traffic -- Online Simulation and State Estimation for a Traffic Flow Model -- Traffic News by Dynamic Fuzzy Classification -- Evaluation of
Single Vehicle Data in Dependence of the Vehicle-Type, Lane, and Site -- Forecasting of Traffic Congestion -- Empirical Phase Diagram of Traffic Flow on Highways with On-Ramp -- On-Line Simulation of the Freeway Network of North
Rhine-Westphalia -- Traffic Data Collection Using Image Processing Technology -- Modelling of Traffic Flow -- Microscopic Simulation of Congested Traffic -- Order Parameter as an Additional State Variable of Unstable Traffic Flow --
Macroscopic Simulation of Open Systems and Micro-Macro Link -- Relating Car-Following and Continuum Models of Road Traffic -- Microscopic Randomness in Foliow-the-Leader Dynamics -- “Car-SPH”: A Lagrangian Particle Scheme for the
Solution of the Macroscopic Traffic Flow Equations -- An Exactly Solvable Two-Way Traffic Model with Ordered Sequential Update -- Exact Traveling Cluster Solutions of Differential Equations with Delay for a Traffic Flow Model -- Stable
and Metastable States in Congested Traffic -- Detailed Microscopic Rules to Simulate Multilane Freeway Traffic -- CA Models for Traffic Flow: Comparison with Empirical Single-Vehicle Data -- A New Cellular Automata Model for City
Traffic -- Stochastic Boundary Conditions in the Nagel-Schreckenberg Traffic Model -- A Stochastic Multi-Cluster Model of Freeway Traffic -- Granular Dynamics -- Jamming Patterns and Blockade Statistics in Model Granular Flows --
Kinetics of Granular Gases -- Particle Segregation in the Context of the Species Momentum Balances -- Avalanche Parameters: Dependence on the Size of the Granular Packing -- Ripple Formation in a Saltation-Avalanche Model -- Particle
Diffusion and Segregation in Rotating Cylinders -- Molecular Dynamics Simulation of Cohesive Granular Materials -- A Model for Slowly Moving Granular Matter -- Pressure Distribution of a Two-Dimensional Sandpile
ISBN:9783642597510
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Applied mathematics , Engineering mathematics , Condensed matter , Automotive engineering , Environmental sciences , Mathematics , Applications of Mathematics , Automotive Engineering , Math. Appl. in Environmental Science , Condensed Matter Physics
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Call number:SPRINGER-2000-9783642572807:ONLINE Show nearby items on shelf
Title:Classification and Information Processing at the Turn of the Millennium Proceedings of the 23rd Annual Conference of the Gesellschaft für Klassifikation e.V., University of Bielefeld, March 10–12, 1999
Author(s):
Date:2000
Size:1 online resource (492 p.)
Note:10.1007/978-3-642-57280-7
Contents:1: Data Analysis and Classification -- New Developments in Latent Variable Models -- Regression-Type Models for Kohonen’s Self-Organizing Networks -- Relational Data Analysis, Discrimination and Classification -- Data Types and
Information: Beyond the Current Practice of Data Analysis -- Two-Mode Three-Way Asymmetric Multidimensional Scaling with Constraints on Asymmetry -- Regularized Discriminant Analysis with Optimally Scaled Data -- Recurrence Properties
in Two-Mode Hierarchical Clustering -- On Pyramidal Classification in the Delimitation of Climatic Regions in Catalonia -- On the Modal Understanding of Triadic Contexts -- Clustering and Scaling: Grouping Variables in Burt Matrices --
Standardisation of Data Set under Different Measurement Scales -- Neural Networks for Two-Group Classification Problems with Monotonicity Hints -- A Bridge from the Nearest Neighbour to the Fixed Bandwidth in Nonparametric Functional
Estimation -- Clustering Techniques for the Detection of Business Cycles -- Simulated Annealing Optimization for Two-mode Partitioning -- 2: Computer Science, Computational Statistics, and Data Mining -- Competitiveness of Evolutionary
Algorithms -- Intelligent Data Analysis via Linguistic Data Summaries: A Fuzzy Logic Approach -- Algorithm Selection Support for Classification -- Society of Knowledge — Interdisciplinary Perspectives of Information Processing in
Virtual Networks -- What is Computational Statistics? -- A Development Framework for Nature Analogic Heuristics -- Systematizing and Evaluating Data Mining Methods -- On Textures: A Sketch of a Texture-Based Image Segmentation Approach
-- Automatic Texture Classification by Visual Properties -- Java Servlets versus CGI — Implications for Remote Data Analysis -- Generating Automatically Local Feature Groups of Complex and Deformed Objects -- Decision Tree Construction
by Association Rules -- Learning Complex Similarity Measures -- Graphical Programming in Statistics: The XGPL Prototype -- 3: Management Science, Marketing, and Finance -- Measuring Brand Loyalty on the Individual Level: a Comparative
Study -- Facility Location Planning with Qualitative Location Factors -- Testing the Multinomial Logit Model -- Time Optimal Portfolio Selection: Mean-variance-efficient Sets for Arithmetic and Geometric Brownian Price Processes --
Analyzing Multigroup Data with Structural Equation Models -- Validity of Customized and Adaptive Hybrid Conjoint Analysis -- Analysis of the Assessments of One’s Values Among Different Cohorts in Age and Sex by Multidimensional Scaling
-- Impacts of Hedging with Futures on Optimal Production Levels -- How to Integrate Stock Price Jumps into Portfolio Selection -- A Multivariate GARCH-M Model for Exchange Rates in the US, Germany and Japan -- A Model for Constructing
Quadratic Objective Functions and its Applications to Price Adjustments -- 4: Biology, Genome Analysis, and Medicine -- Phylogeny Inference by Minimum Conflict -- Detecting Change-Points in Aircraft Noise Effects -- A Generalized
Estimating Equations Approach to Quantifying the Influence of Meteorological Conditions on Hand Dermatitis -- Discrimination in Paired Data Situations -- Classification of Multidimensional Visual Field Data for Glaucoma Diagnosis --
Quality of Life of Cancer Patients: A Multi-set Analysis -- A New Approach on Nonparametric Repeated Measures Analysis of Variance -- 5: Text Analysis and Information Retrieval -- GERHARD (German Harvest Automated Retrieval and
Directory) -- Automatic Labelling of References for Internet Information Systems -- Architecture and Retrieval Methods of a Search Assistant for Scientific Libraries -- Computer Aided Evaluations of Linguistic Atlases: Prom Automatic
Classification to Dialectometry -- Structured Phrases for Indexing and Retrieval of Research Topics -- Author and Subject Index
ISBN:9783642572807
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Information technology , Business , Data structures (Computer science) , Probabilities , Statistics , Econometrics , Computer Science , Data Structures, Cryptology and Information Theory , Econometrics , IT in Business , Statistics for Business/Economics/Mathematical Finance/Insurance , Probability Theory and Stochastic Processes
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Call number:SPRINGER-1996-9783642799990:ONLINE Show nearby items on shelf
Title:From Data to Knowledge Theoretical and Practical Aspects of Classification, Data Analysis, and Knowledge Organization
Author(s):
Date:1996
Size:1 online resource (472 p.)
Note:10.1007/978-3-642-79999-0
Contents:Plenary and Semi Plenary Presentations -- Advances in Cluster Analysis Relevant to Marketing Research -- Representation of Statistical Structures, Classification and Prediction Using Multidimensional Scaling -- Null Models in Cluster
Validation -- Classifying Space and Analysing the Consequences: Spatial Analysis of Health Data -- An Ordinal Model for Cluster Analysis — 15 Years in Retrospect -- An Overview and Recent Developments in Dual Scaling -- Gibbs Sampling
in AR Models with Random Walk Priors -- Finding the Edge of a Poisson Forest with Inside and Outside Observations: The Discriminant Analysis Point of View -- Spatial Fibre and Surface Processes — Stereologicai Estimations and
Applications -- Robustizing Mixture Analysis Using Model Weighting -- Evaluation of the First Life Table Published in 1888 in Japan -- Classification Related Results and Other Aspects of Data Analysis -- Incomplete Data Matrices and
Tests on Randomly Missing Data -- Valuations and Hierarchizations -- Recent Developments in Multimode Clustering -- Gaussian Neural Networks Applied to the Cluster Analysis Problem -- Graph-Theoretic Models for Testing the Homogeneity
of Data -- Least Squares Multidimensional Scaling with Transformed Distances -- Alternatives to Configurai Frequency Analysis -- Clustering Methods in Fuzzy Control -- The Excess Mass Approach and the Analysis of Multi-Modality -- Mode
Extraction by Multivaiue Morphology for Cluster Analysis -- On the Longest Edge of the Minimal Spanning Tree -- Detection of Blocks in a Binary Matrix — A Bayesian Approach -- Spatial Data Analysis -- Detection of Spatial
Discontinuities in Vegetation Data by a Moving Window Algorithm -- Spatial Clustering of Neurons by Hypergeometric Disjoint Statistics -- A New Approach of Regionalisation by Classifying Hydrological Quantities -- The
Index-of-Dispersion Test Revisited -- Comparing Spatio-Temporal Patterns from Defaunization Experiments in Marine Ecology -- Applications in Economics -- A Unifying Approach to Benefit Segmentation and Product Line Design Based on Rank
Order Conjoint Data -- Classification and Representation Using Conjoint Data -- Overlapping Clustering of Statistical Software Packages for PC -- Scenario Analysis with BASICS — Testing the Representativity of the Results of the
Dynamic Probability Adjustment of Scenario Components with the Help of Classification Methods -- Analysis of Sales Data: A Neural Net Approach -- Applications in Linguistics -- On the Definition of Inflection -- Computer-Aided Analysis
of Vocabulary Acquisition -- Features and Tags -- Semanticaily Based Universal Definitions of Grammatical Agreement and Agreement Domain Universals: A Critical Evaluation -- Towards a Hypermedia, Multilingual, On-Line Resource System
for LSP Users/Learners -- Applications in Medicine and Biology -- A New Methodologic Look at Describing the Performance of Diagnostic Classification Procedures in Medicine -- Xmed-DD: From Document Processing to Systematic Information
Storage -- Ribosomai RNA Phylogeny Derived from a Correlation Model of Sequence Evolution -- SALBIDH2 — Modifications of the LBI-Method for Automated Lexicon-Based Indexing of Diagnoses -- Record Linkage of Anonymous Data by Control
Numbers -- Information Systems and Knowledge Organization -- Processing Partial Information in Decision Support Systems -- Consistency Conditions for the Classification in LIS/CI -- Using Hypertext for Information Retrieval in
STEP/EXPRESS Schemata -- Two Software Tools Supporting Enduser Oriented Information Retrieval in Physics -- From Verbal Data to Practical Knowledge
ISBN:9783642799990
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Applied mathematics , Engineering mathematics , Probabilities , Economic theory , Mathematics , Applications of Mathematics , Economic Theory/Quantitative Economics/Mathematical Methods , Probability Theory and Stochastic Processes
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Call number:SPRINGER-1995-9783642793660:ONLINE Show nearby items on shelf
Title:Scanning Tunneling Microscopy II Further Applications and Related Scanning Techniques
Author(s):
Date:1995
Edition:Second Edition
Size:1 online resource (2 p.)
Note:10.1007/978-3-642-79366-0
Contents:1. Introduction -- 1.1 STM in Electrochemistry and Biology -- 1.2 Probing Small Forces on a Small Scale -- 1.3 Related Scanning Probe Microscopies -- 1.4 Nanotechnology -- References -- 2. STM in Electrochemistry -- 2.1 Principal
Aspects -- 2.2 Experimental Concepts for Electrolytic STM at Potential-Controlled Electrodes -- 2.3 Electrochemical Applications of In Situ STM at Potential-Controlled Electrodes -- 2.4 Outlook -- References -- 3. The Scanning
Tunneling Microscope in Biology -- 3.1 Instrumentation -- 3.2 Processing of STM Images -- 3.3 Preparation -- 3.4 Applications -- 3.5 Imaging and Conduction Mechanisms -- 3.6 Conclusions -- References -- 4. Scanning Force Microscopy
(SFM) -- 4.1 Experimental Aspects of Force Microscopy -- 4.2 Forces and Their Relevance to Force Microscopy -- 4.3 Microscopic Description of the Tip-Sample Contact -- 4.4 Imaging with the Force Microscope -- 4.5 Conclusions and
Outlook -- References -- 5. Magnetic Force Microscopy (MFM) -- 5.1 Basic Principles of MFM -- 5.2 Measurement Techniques -- 5.3 Force Sensors -- 5.4 Theory of MFM Response -- 5.5 Imaging Data Storage Media -- 5.6 Imaging Soft Magnetic
Materials -- 5.7 Resolution -- 5.8 Separation of Magnetic and Topographic Signals -- 5.9 Comparison with Other Magnetic Imaging Techniques -- 5.10 Conclusions and Outlook -- References -- 6. Related Scanning Techniques -- 6.1
Historical Background -- 6.2 STM and Electrical Measurements -- 6.3 STM and Optical Effects -- 6.4 Near-Field Thermal Microscopy -- 6.5 Scanning Force Microscopy and Extensions -- 6.6 Conclusion -- References -- 7. Nano-optics and
Scanning Near-Field Optical Microscopy -- 7.1 Nano-optics: Optics of Nanometer-Size Structures -- 7.2 Experimental Work -- 7.3 Plasmons and Spectroscopic Effects -- 7.4 Imaging by SNOM -- 7.5 Discussion, Outlook, Conclusions --
References -- 8. Surface Modification with a Scanning Proximity Probe Microscope -- 8.1 Overview -- 8.2 Microfabrication with a Scanning Probe Microscope -- 8.3 Investigation of the Fabrication Process -- 8.4 Review of SXM Lithography
-- 9. Recent Developments -- 9.1 STM and SFM in Electrochemistry -- 9.2 STM in Biology -- 9.3 Scanning-Force Microscopy -- 9.4 Nano-Optics and Scanning Near-Field Optical Microscopy: New Developments -- 9.5 Surface Modifications by
Scanning-Probe Methods -- References
ISBN:9783642793660
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Surface Sciences: 28
Keywords: Physics , Physical chemistry , Cell biology , Solid state physics , Spectroscopy , Microscopy , Engineering , Materials , Thin films , Physics , Solid State Physics , Spectroscopy and Microscopy , Surfaces and Interfaces, Thin Films , Cell Biology , Physical Chemistry , Engineering, general
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Call number:SPRINGER-1994-9783642468087:ONLINE Show nearby items on shelf
Title:Information Systems and Data Analysis Prospects — Foundations — Applications
Author(s):
Date:1994
Size:1 online resource (463 p.)
Note:10.1007/978-3-642-46808-7
Contents:I: Information Processing, Classification-Based Approaches, Linguistic and Conceptual Analysis -- Learning and Case-Based Reasoning -- Induction and Case-Based Reasoning for Classification Tasks -- Symbolic Learning and
Nearest-Neighbor Classification -- Nonstandard Concepts of Similarity in Case-Based Reasoning -- Learning from Cases for Classification Problem Solving -- Approaches Based on Linguistic Analysis -- Methods of Phoneticizing in Regard to
Spelling Variants of Medical Phrases -- Disambiguating Lexical Meaning: Conceptual meta-modelling as a means of controlling semantic language analysis -- Information Retrieval Using Conceptual Representations of Phrases -- Information
Processing and Design of Information Systems -- Communication in Distributed Heterogenous Systems -- Prerequisites and Development Perspectives for Information Processing in the Social Sciences -- Aspects of Coupling Logic Programming
and Databases -- Processing Scientific Networks in Bibliographic Databases -- Object-Oriented Systems Analysis Applied to the Method Component of a Knowledge-Based System for Data Analysis -- Classification Based Query Evaluation in
Knowledge Base Systems -- Uncertainity and Neural Networks -- Neural Networks: Architectures, Learning and Performance -- Reasoning with Uncertainty in Diagnostic Systems -- Conceptual Approaches -- Der klassische und der moderne
Begriff des Begriffs. Gedanken zur Geschichte der Begriffsbildung in den exakten Wissenschaften -- Ideas of Algebraic Concept Analysis -- Conceptual Structures in Mathematical Logic and Their Formal Representation -- II: Mathematical
and Statistical Methods for Classification and Data Analysis -- Clustering and Discrimination -- Three-Mode Hierarchical Cluster Analysis of Three-Way Three-Mode Data -- The Testing of Data Structures with Graph-Theoretical Models --
Geometric Approach to Evaluating Probabilities of Correct Classification into two Gaussian or Spherical Categories -- Jackknife Estimates of Similarity Coefficients Obtained from Quadrat Sampling of Species -- Clustering Techniques in
the Computing Environment XploRe -- On the Application of Discriminant Analysis in Medical Diagnostics -- Similarity Searching in Databases of Three-Dimensional Chemical Structures -- Feature Generation and Classification of Time
Series -- Data Analysis Methods -- TRIPAT: a Model for Analyzing Three-Mode Binary Data -- Block-relaxation Algorithms in Statistics -- Multidimensional Scaling with lp-Distances, a Unifying Approach -- Universal Optimality of Rank
Constrained Matrix Approximation -- The Analysis of Spatial Data from Marine Ecosystems -- Automatic Decomposition of Lattice Data including Missing Values and Boundaries -- III: Genome and Molecular Sequence Analysis -- Classification
and Data Analysis in Genome Projects: Some Aspects of Mapping, Alignment and Tree Reconstruction -- Multiple Alignment of Protein Sequences and Construction of Evolutionary Trees based on Amino Acid Properties — an Algebraic Approach
-- How to Deal With Third Codon Positions in Phylogenetic Analysis -- Machine Learning for Protein Structure Prediction -- A Parallel-Processor Implementation of an Algorithm to Delineate Distantly Related Protein Sequences using
Conserved Motifs and Neural Networks -- IV: Applied Data Analysis in Special Fields -- Economy and Marketing -- Knowledge-Based Selection and Application of Quantitative Models of Consumer Behavior -- Goodwill towards Domestic Products
as Segmentation Criterion: An Empirical Study within the Scope of Research on Country-of-Origin Effects -- Archeology -- Merovingian Glass Beads: An Essay of Classification -- Screening in Medicine -- Statistical Measures to Quantify
the Benefit from Screening: a Case Study on Cholesterol Screening -- Evaluation of Screening in Case-Control Studies: an Alternative to Randomized Controlled Trials? -- List of Authors
ISBN:9783642468087
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Health informatics , Computer science , Bioinformatics , Computational biology , Probabilities , Statistics , Economic theory , Economics , Economic Theory/Quantitative Economics/Mathematical Methods , Mathematics of Computing , Probability Theory and Stochastic Processes , Statistics for Business/Economics/Mathematical Finance/Insurance , Health Informatics , Computer Appl. in Life Sciences
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Call number:SPRINGER-1993-9783642509742:ONLINE Show nearby items on shelf
Title:Information and Classification Concepts, Methods and Applications Proceedings of the 16th Annual Conference of the “Gesellschaft für Klassifikation e.V.” University of Dortmund, April 1–3, 1992
Author(s):
Date:1993
Size:1 online resource (517 p.)
Note:10.1007/978-3-642-50974-2
Contents:I: Data Analysis and Classification -- Classification Methods -- Hierarchical Clustering of Sampled Functions -- Spatial Clustering of Species Based on Quadrat Sampling -- A kn-Nearest Neighbour Algorithm for Unimodal Clusters --
Asymptotic Robustness in Cluster-Analysis for the Case of Tukey-Huber Distortions -- Choosing the Number of Component Clusters in the Mixture-Model Using a New Informational Complexity Criterion of the Inverse-Fisher Information Matrix
-- Fuzzy Classification -- Fuzzy Sets and Fuzzy Partitions -- Fuzzy Clustering by Minimizing the Total Hypervolume -- Conceptual Analysis -- Conceptual Data Systems -- Conceptual Clustering via Convex-Ordinal Structures -- Diagrams of
Similarity Lattices -- Approximate Galois Lattices of Formal Concepts -- Representation of Data by Pseudoline Arrangements -- Mathematical Characterizations -- A Relational Approach to Split Decomposition -- Some New Useful
Representations of Dissimilarities in Mathematical Classification -- Multidimensional Scaling -- A Comparison of Two Methods for Global Optimization in Multidimensional Scaling -- Directional Analysis of Three-Way Skew-Symmetric
Matrices -- Clustering in Low-Dimensional Space -- The Construction of Neighbour-Regions in Two Dimensions for Prediction with Multi-Level Categorical Variables -- Different Geometric Approaches to Correspondence Analysis of
Multivariate Data -- Nonlinear Biplots for Nonlinear Mappings -- Various Methods for Data Analysis -- Gradient Filtering Projections for Recovering Structures in Multivariate Data -- Classification with Set-Valued Decision Functions --
Canonical Discriminant Analysis: Comparison of Resampling Methods and Convex-Hull Approximation -- Nonparametric Prediction of Time Series on the Basis of Typical Course Patterns -- Moving Point Patterns: The Poisson Case -- II:
Information Retrieval, Knowledge Processing and Software -- Information Retrieval -- Representations, Models and Abstractions in Probabilistic Information Retrieval -- Fuzzy Graphs as a Basic Tool for Agglomerative Clustering and
Information Retrieval -- The Various Roles of Information Structures -- Neural Networks -- Classification Properties of Communicating Neural Networks -- Knowledge Extraction from Self-Organizing Neural Networks -- Self-Organizing
Neural Networks for Visualisation and Classification -- Expert Systems and Knowledge Processing -- HyDi: Integration of Hypermedia and Expert System Technology for Technical Diagnosis -- Classification and Learning of Similarity
Measures -- Context Sensitive Knowledge Processing -- An Efficient Application of a Rule-Based System -- Computational Linguistics -- Acquisition of Syntactical Knowledge from Text -- Generating Topic-Based Links in a Hypertext-System
for News -- Software -- Interactively Displaying Ultrametric and Additive Trees -- Anaglyphen 3D — A Program for the Interactive Representation of Three-Dimensional Perspective Plots of Statistical Data -- III: Applications and Special
Topics -- Sequence Data and Tree Reconstruction -- Discovering Consensus Molecular Sequences -- Alignment and Hierarchical Clustering Method for Strings -- More Reliable Phylogenies by Properly Weighted Nucleotide Substitutions --
Caminalcules and Didaktozoa: Imaginary Organisms as Test-Examples for Systematics -- Data Analysis and Informatics in Medicine -- Multivariate Analysis of the Process of Acclimation of Physiologic Variables -- Classification of EEG
Signals into General Stages of Anesthesia in Real-Time Using Autoregressive Models -- Automatic Segmentation and Classification of Multiparametric Image Data in Medicine -- Pseudoroots as Descriptors for a Thesaurus Based on Weidtman’s
Diagnosis Table of Pediatrics -- Special Topics - Thesauri, Archaeology, Musical Science and Psychometrics -- An Approach to a Space Related Thesaurus -- Classification of Archaeological Sands by Particle Size Analysis -- The Analysis
of Stratigraphic Data with Particular Reference to Zonation Problems -- Classification Criterion and the Universals in the Organization of a Musical Text -- A Two-Mode Clustering Study of Situations and Their Features
ISBN:9783642509742
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Health informatics , Bioinformatics , Computational biology , Probabilities , Statistics , Economic theory , Economics , Economic Theory/Quantitative Economics/Mathematical Methods , Probability Theory and Stochastic Processes , Statistics, general , Health Informatics , Computer Appl. in Life Sciences
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Call number:SPRINGER-1992-9783642973635:ONLINE Show nearby items on shelf
Title:Scanning Tunneling Microscopy II Further Applications and Related Scanning Techniques
Author(s):
Date:1992
Size:1 online resource (308 p.)
Note:10.1007/978-3-642-97363-5
Contents:1. Introduction -- 1.1 STM in Electrochemistry and Biology -- 1.2 Probing Small Forces on a Small Scale -- 1.3 Related Scanning Probe Microscopies -- 1.4 Nanotechnology -- References -- 2. STM in Electrochemistry -- 2.1 Principal
Aspects -- 2.2 Experimental Concepts for Electrolytic STM at Potential-Controlled Electrodes -- 2.3 Electrochemical Applications of In Situ STM at Potential-Controlled Electrodes -- 2.4 Outlook -- References -- 3. The Scanning
Tunneling Microscope in Biology -- 3.1 Instrumentation -- 3.2 Processing of STM Images -- 3.3 Preparation -- 3.4 Applications -- 3.5 Imaging and Conduction Mechanisms -- 3.6 Conclusions -- References -- 4. Scanning Force Microscopy
(SFM) -- 4.1 Experimental Aspects of Force Microscopy -- 4.2 Forces and Their Relevance to Force Microscopy -- 4.3 Microscopic Description of the Tip—Sample Contact -- 4.4 Imaging with the Force Microscope -- 4.5 Conclusions and
Outlook -- References -- 5. Magnetic Force Microscopy (MFM) -- 5.1 Basic Principles of MFM -- 5.2 Measurement Techniques -- 5.3 Force Sensors -- 5.4 Theory of MFM Response -- 5.5 Imaging Data Storage Media -- 5.6 Imaging Soft Magnetic
Materials -- 5.7 Resolution -- 5.8 Separation of Magnetic and Topographic Signals -- 5.9 Comparison with Other Magnetic Imaging Techniques -- 5.10 Conclusions and Outlook -- References -- 6. Related Scanning Techniques -- 6.1
Historical Background -- 6.2 STM and Electrical Measurements -- 6.3 STM and Optical Effects -- 6.4 Near-Field Thermal Microscopy -- 6.5 Scanning Force Microscopy and Extensions -- 6.6 Conclusion -- References -- 7. Nano-optics and
Scanning Near-Field Optical Microscopy -- 7.1 Nano-optics: Optics of Nanometer-Size Structures -- 7.2 Experimental Work -- 7.3 Plasmons and Spectroscopic Effects -- 7.4 Imaging by SNOM -- 7.5 Discussion, Outlook, Conclusions --
References -- 8. Surface Modification with a Scanning Proximity Probe Microscope -- 8.1 Overview -- 8.2 Microfabrication with a Scanning Probe Microscope -- 8.3 Investigation of the Fabrication Process -- 8.4 Review of SXM Lithography
-- References
ISBN:9783642973635
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Surface Sciences: 28
Keywords: Physics , Physical chemistry , Cell biology , Solid state physics , Spectroscopy , Microscopy , Engineering , Materials , Thin films , Physics , Solid State Physics , Spectroscopy and Microscopy , Surfaces and Interfaces, Thin Films , Cell Biology , Physical Chemistry , Engineering, general
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Call number:SPRINGER-1987-9783642714900:ONLINE Show nearby items on shelf
Title:Biophysics and Synchrotron Radiation
Author(s):
Date:1987
Size:1 online resource (333 p.)
Note:10.1007/978-3-642-71490-0
Contents:X-Ray Diffraction -- The Impact of Synchrotron Radiation on Protein Crystallography -- Crystallography of the Complex tRNA Asp-Aspartyl-tRNA Synthetase from Yeast -- Time-Resolved X-Ray Fibre Diffraction Studies of Structural
Transitions in the DNA Double-Helix Using the Daresbury SRS -- Multiwavelength Anomalous Diffraction in Protein Crystallography: Phase Calculations, Experimental Procedures and Results -- X-Ray Diffuse Scattering from Protein Crystals
-- Laue Diffraction from Protein Crystals: Theoretical Aspects -- White Beam Laue Diffraction: Data Processing Developments and Results for Single Crystal Data -- A New Area Detector (Imaging Plate) and Its Application to Diffraction
Studies at the Photon Factory -- High Voltage Electron Diffraction and Computer Graphics of Heavy Meromyosin Crystals -- X-Ray Spectroscopy -- Higher Order Correlations in Proteins by X-Ray Spectroscopy -- Oxygen Binding Site Structure
in Hemoproteins by XANES -- Local Structure of Heme-Iron Studied by High-Resolution XANES: Thermal Spin Equilibrium in Myoglobin -- The High and Low Spin Iron Sites and the T/ to R/ Transition in Carp Hemoglobin -- EXAFS and XANES
Studies of High-Valent Metal-Oxo Porphyrins Relevant to Horseradish Peroxidase -- Energy Dispersive X-Ray Absorption Spectroscopy: Strengths and Limitations for Time-Resolved Studies of Biostructures -- A Rapid-Freeze EXAFS Method for
the Studies of Intermediates in Fast Enzymatic Reactions -- EXAFS and Structure-Function Relationships in Zinc Proteins -- EXAFS and XANES Studies of Copper Proteins -- The Active Site of Cu, Zn Superoxide Dismutase as Studied by
EXAFS: The Binding of Chloride to the Reduced Enzyme -- Structural Changes in Hemerythrin and Error Analysis -- The Interaction of Iron with Transferrins -- Structural Features of the Metal Binding Sites in Transferrins by EXAFS and
Other Spectroscopic Techniques -- Applications of X-Ray Absorption Spectroscopy to the Study of Ferritin -- Structural Investigations of Biomimetic Complexes of Cytochrome P-450 by Difference EXAFS Spectroscopy -- Investigation on
Metal Binding Sites in DNA by Means of X-Ray High Resolution Spectroscopy -- Study of Cu-ATP Complexes -- X-Ray Absorption Spectroscopy of Manganese and Iron in the Photosynthetic Apparatus -- EXAFS and XANES Studies of Calcium
Polysaccharides -- Application of X-Ray Absorption Spectroscopy to the Investigation of Biological Calcification -- Ca Site Structure in Bungarotoxin: Possible Generalization to Ca Low Affinity and High Specificity Sites in Ca Binding
Proteins -- X-Ray Scattering -- Resonant X-Ray Scattering of Biological Systems -- Chromatin, Solution Scattering and Perception -- Pre-Nucleation and Nucleation Events in Microtubule Assembly: A Time-Resolved X-Ray Scattering Study --
Sinusoidal Length Change Study of Muscle Contraction and Self-Induced Translation Model of Myosin Motion -- Small Angle X-Ray Diffraction of Collagen Fibrils Using a Three- -Dimensional Imaging Gas Detector -- X-Ray Microscopy -- X-Ray
Microscopy at the Electron Storage Ring BESSY -- Time-Resolved Fluorescence -- Quaternary Structure Changes in Aspartokinase-Homoserine Dehydrogenase Studied by Time-Resolved Fluorescence -- Lifetime of Fluorophore Excited State in
Biological Membranes and Their Model Systems
ISBN:9783642714900
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Biophysics: 2
Keywords: Life sciences , Organic chemistry , Physical chemistry , Biochemistry , Cell biology , Atoms , Physics , Biophysics , Biological physics , Life Sciences , Biochemistry, general , Biophysics and Biological Physics , Cell Biology , Atomic, Molecular, Optical and Plasma Physics , Physical Chemistry , Organic Chemistry
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Call number:SPRINGER-1987-9783540478034:ONLINE Show nearby items on shelf
Title:Physics in Living Matter Proceedings, Gwatt, Switzerland 1986
Author(s):
Date:1987
Size:1 online resource (180 p.)
Note:10.1007/BFb0009203
Contents:The protein as a physics laboratory -- The physics of evolution -- Symmetries in biology -- Calculation of protein structures from NMR data -- Structural analysis at molecular dimensions of proteins and protein assemblies using
Electron Microscopy (EM) and image processing -- Magnetic resonance imaging in medicine -- Digital image processing -- Physics of biological membranes -- Transport and signal transfer across biomembranes -- Chemical instabilities and
applications of biological interest -- The innervation of skeletal muscles: Properties emerging from a random neural network -- Physics of the brain -- Models of neural networks -- Nonabelian neurodynamics
ISBN:9783540478034
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Physics: 284
Keywords: Physics , Biochemistry , Thermodynamics , Biophysics , Biological physics , Statistical physics , Dynamical systems , Physics , Biophysics and Biological Physics , Thermodynamics , Statistical Physics, Dynamical Systems and Complexity , Biochemistry, general
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Call number:SPRINGER-1986-9783642500381:ONLINE Show nearby items on shelf
Title:Peripheral Auditory Mechanisms Proceedings of a conference held at Boston University, Boston, MA, August 13–16, 1985
Author(s):
Date:1986
Size:1 online resource (402 p.)
Note:10.1007/978-3-642-50038-1
Contents:Outer and Middle Ear Mechanics -- The effectiveness of external and middle ears in coupling acoustic power into the cochlea -- Spatial distribution of sound pressure in the ear canal -- The impulse response vibration of the human ear
drum -- Formulation and analysis of a dynamic fiber composite continuum model of the tympanic membrane -- How do contractions of the stapedius muscle alter the acoustic properties of the ear? -- Measurement of eardrum acoustic
impedance -- Middle ear research using a SQUID magnetometer. I. Micro- and macromechanical selection of polymer materials for artificial tympanic membranes -- Middle ear research using a SQUID magnetometer. II. Transfer characteristics
of human middle ears -- Cochlear Macromechanics -- Cochlear macromechanics — a review -- Transients and speech processing in a three-dimensional model of the human cochlea -- The mechanics of the basilar membrane and middle ear in the
pigeon -- On the mechanics of the horseshoe bat cochlea -- Resonance and reflection in the cochlea: the case of the CF-FM bat, Rhinolophus Ferrumequinum -- The complete solution of the basilar membrane condition in two dimensional
models of the cochlea -- Longitudinal stiffness coupling in a 1-dimensional model of the peripheral ear -- Mössbauer measurements of the mechanical response to single-tone and two-tone stimuli at the base of the chinchilla cochlea --
Parameter sensitivity in a mathematical model of basilar membrane mechanics -- Cochlear Micromechanics -- Micromechanics of the cochlear partition -- On the role of fluid inertia and viscosity in stereociliary tuft motion: analysis of
isolated bodies of regular geometry -- Role of passive mechanical properties of outer hair cells in determination of cochlear mechanics -- Thresholds of auditory sensitivity and auditory fatigue: relation with cochlear mechanics --
Analysis of streaming flow induced in the tectorial gap -- Active Filtering in the Cochlea -- Active filtering by hair cells -- Determination of the cochlear power flux from basilar membrane vibration data -- An isolated sound emitter
in the cochlea: notes on modelling -- Stability of active cochlear models: need for a second tuned structure? -- Changes in spontaneous and evoked otoacoustic emissions and corresponding psychoacoustic threshold microstructures induced
by aspirin consumption -- Statistical properties of a strong spontaneous oto-acoustic emission -- The influence of temperature on frequency-tuning mechanisms -- Nonlinear and/or Active Processes -- An overview of nonlinear and active
cochlear models -- Evaluating traveling wave characteristics in man by an active nonlinear cochlea preprocessing model -- Modeling intracochlear and ear canal distortion product (2f1-f2) -- Interactions among multiple spontaneous
otoacoustic emissions -- Basilar membrane motion in guinea pig cochlea exhibits frequency-dependent DC offset -- Linear and nonlinear effects in a physical model of the cochlea -- Modelling the cochlear partition with coupled Van der
Pol oscillators -- New effects of cochlear nonlinearity in temporal patterns of auditory nerve fiber responses to harmonic complexes -- Wideband analysis of otoacoustic intermodulation -- Characterization of cubic intermodulation
distortion products in the cat external auditory meatus -- Acoustic overstimulation reduces 2f1-f2 cochlear emissions at all levels in the cat -- Harmonic acoustic emissions in the earcanal generated by single tones: experiments and a
model -- Steady-state response determination for models of the basilar membrane -- Transduction in the Cochlea -- Transduction in cochlear hair cells -- Furosemide affects ear-canal emissions produced by the injection of AC currents
into scala media -- Outer hair cell motility: a possible electro-kinetic mechanism -- Visualization of sensory hair cells in an in vivo preparation -- A model for transduction in hair cells involving strain-activated conductance --
Author index -- Permuted title index
ISBN:9783642500381
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Biomathematics: 64
Keywords: Mathematics , Neurosciences , Biomathematics , Statistics , Mathematics , Mathematical and Computational Biology , Neurosciences , Statistics for Life Sciences, Medicine, Health Sciences
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Call number:SPRINGER-1982-9781461576679:ONLINE Show nearby items on shelf
Title:Principles of Lasers
Author(s): Orazio Svelto
Date:1982
Edition:Second Edition
Size:1 online resource (374 p.)
Note:10.1007/978-1-4615-7667-9
Contents:1 Introductory Concepts -- 1.1 Spontaneous and Stimulated Emission, Absorption -- 1.2 The Laser Idea -- 1.3 Pumping Schemes -- 1.4 Properties of Laser Beams -- Problems -- 2 Interaction of Radiation with Matter -- 2.1 Summary of
Blackbody Radiation Theory -- 2.2 Absorption and Stimulated Emission -- 2.3 Spontaneous Emission -- 2.4 Nonradiative Decay -- 2.5 Line Broadening Mechanisms -- 2.6 Saturation -- 2.7 Degenerate Levels -- 2.8 Relation between Cross
Section and Spontaneous Radiative Lifetime -- 2.9 Molecular Systems -- Problems -- References -- 3 Pumping Processes -- 3.1 Introduction -- 3.2 Optical Pumping -- 3.3 Electrical Pumping -- Problems -- References -- 4 Passive Optical
Resonators -- 4.1 Introduction -- 4.2 Plane-Parallel Resonator -- 4.3 Confocal Resonator -- 4.4 Generalized Spherical Resonator -- 4.5 Unstable Resonators -- Problems -- References -- 5 Continuous Wave and Transient Laser Behavior --
5.1 Introduction -- 5.2 Rate Equations -- 5.3 CW Laser Behavior -- 5.4 Transient Laser Behavior -- 5 5 Limits to the Rate Equations -- Problems -- References -- 6 Types of Lasers -- 6.1 Introduction -- 6.2 Solid-State Lasers -- 6.3 Gas
Lasers -- 6.4 Liquid Lasers (Dye Lasers) -- 6.5 Chemical Lasers -- 6.6 Semiconductor Lasers -- 6.7 Color-Center Lasers -- 6.8 The Free-Electron Laser -- 6.9 Summary of Performance Data -- Problems -- References -- 7 Properties of Laser
Beams -- 7.1 Introduction -- 7.2 Monochromaticity -- 7.3 First-Order Coherence -- 7.4 Directionality -- 7.5 Laser Speckle -- 7.6 Brightness -- 7.7 Higher-Order Coherence -- Problems -- References -- 8 Laser Beam Transformation -- 8.1
Introduction -- 8.2 Transformation in Space. Gaussian Beam Propagation -- 8.3 Transformation in Amplitude: Laser Amplification -- 8.4 Transformation in Frequency: Second-Harmonic Generation and Parametric Oscillation -- Problems --
References -- 9 Applications of Lasers -- 9.1 Introduction -- 9.2 Applications in Physics and Chemistry -- 9.3 Applications in Biology and Medicine -- 9.4 Material Working -- 9.5 Optical Communications -- 9.6 Measurement and Inspection
-- 9.7 Thermonuclear Fusion -- 9.8 Information Processing and Recording -- 9.9 Military Applications -- 9.10 Holography -- 9.11 Concluding Remarks -- References -- Appendixes -- A Space-Dependent Rate Equations -- B Physical Constants
-- Answers to Selected Problems
ISBN:9781461576679
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Quantum physics , Lasers , Photonics , Optics , Optoelectronics , Plasmons (Physics) , Physics , Quantum Physics , Optics, Optoelectronics, Plasmonics and Optical Devices , Laser Technology, Photonics
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