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Applications of mathematical heat transfer and fluid flow models in engineering and medicine

Dorfman, A. Sh. (Abram Shlemovich), author.

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Applications of mathematical heat transfer and fluid flow models in engineering and medicine /

Modeling Methodology for Physiology and Medicine.

Carson, Ewart.

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Medicine Mathematical models.

Mathematical Models in the Health Sciences : A Computer-Aided Approach.

Ackerman, Eugene.

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Medicine Mathematical models.

Making Sense of Complexity : Summary of the Workshop on Dynamical Modeling of Complex Biomedical Systems.

Casella, George.

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Medicine Mathematical models.

Tipping Points : Modelling Social Problems and Health.

Bissell, John.

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Social medicine Mathematical models.

Statistical Modeling for Biomedical Researchers : A Simple Introduction to the Analysis of Complex Data.

Dupont, William D.

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Medicine Research Statistical methods Mathematical models.

Deterministic And Stochastic Models Of Aids Epidemics And Hiv Infections With Intervention.

Wu, Hulin.

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Medicine Mathematical models.

Fractal Physiology and Chaos in Medicine.

West, Bruce J.

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Medicine Mathematical models.

Statistical and Mathematical Techniques in Nuclear Medicine.

Pant, G.S.

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Nuclear medicine Mathematical models.

Modelling methodology for physiology and medicine

Carson, Ewart R.

ScienceDirect An electronic book accessible through the World Wide Web; click for information
Publisher description http://www.loc.gov/catdir/description/els031/00104369.html

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Medicine Mathematical models.

Statistical Modeling for Biomedical Researchers : A Simple Introduction to the Analysis of Complex Data.

Dupont, William D.

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Medicine Research Mathematical models.

Stochastic Models with Applications to Genetics, Cancers, Aids and Other Biomedical Systems.

Tan, Wai-Yuan.

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Medicine Mathematical models.

Aspects of Mathematical Modelling : Applications in Science, Medicine, Economics and Management.

Chaplain, Mark.

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The construction of mathematical models is an essential scientific activity. Mathematics is

Modelling, Analysis and Optimization of Biosystems

Krabs, Werner. author.

http://dx.doi.org/10.1007/978-3-540-71453-8

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Mathematical models in biology and medicine cannot be based on natural laws as it is the case with

Multiple Criteria Decision Making : From Early History to the 21st Century.

Koksalan, Murat.

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Engineering Applications to Medicine Multiobjective Combinatorial Optimization (MOCO) Theory and

Dynamical models in biology

Farkas, Miklós, 1932-

EBSCOhost http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=199155

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environment. Dynamical Models in Mathematical Biology provides the reader with a full explanation of all the

Mathematical Methods in Signal Processing and Digital Image Analysis

Dahlhaus, Rainer. editor.

http://dx.doi.org/10.1007/978-3-540-75632-3

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methods, drawing upon common sets of test problems from medicine and geophysical/enviromental sciences, is

Mathematics for Life Science and Medicine

Takeuchi, Yasuhiro. editor.

http://dx.doi.org/10.1007/978-3-540-34426-1

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exciting area, to present new results, and to inspire future contributions to mathematical modeling in life

Mathematical Methods in Applied Sciences

Rodino, Luigi

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to a broad audience some mathematical models which appear in different aspects of modern life. New

Mathematical Modelling in Engineering & Human Behaviour 2018

Carlos Cortés, Juan

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, medicine and engineering sciences, and in developing mathematical models that could be used to successfully

3D Printing and Biofabrication

Ovsianikov, Aleksandr. editor.

https://doi.org/10.1007/978-3-319-45444-3

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Imaging for 3D CAD Models Trends in Additive Manufacturing for TE Applications Use of Ceramics in

Multiscale Problems in the Life Sciences From Microscopic to Macroscopic

Banasiak, Jacek. author.

http://dx.doi.org/10.1007/978-3-540-78362-6

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higher level of communication between different mathematical and scientific schools, for solving classes

An Introduction to Continuous-Time Stochastic Processes Theory, Models, and Applications to Finance, Biology, and Medicine

Capasso, Vincenzo. author.

http://dx.doi.org/10.1007/b138900

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examples of modeling real world problems from biology, medicine, industrial applications, finance, and

A Practical Introduction to Fuzzy Logic using LISP

Argüelles Mendez, Luis. author.

https://doi.org/10.1007/978-3-319-23186-0

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that offers more complexity than popular books yet is more accessible than other mathematical treatises

Computer Algebra Recipes An Introductory Guide to the Mathematical Models of Science

Enns, Richard H. author.

http://dx.doi.org/10.1007/0-387-31262-5

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science. Not only can students and researchers work through mathematical models more efficiently and with

Dynamical Models of Biology and Medicine

Kuang, Yang

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employed innovative mathematical and computational methods to study the complex dynamics of their models

Stochastic Processes: Theory and Applications

Korolev, Victor

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; queueing network models; computational methods for stochastic models; applications to risk theory

The Impact of Systems Medicine on Human Health and Disease

Adil Mardinoglu

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disease. Systems medicine utilizes mathematical approaches to generate models which can be employed for

Stochastic processes estimation, optimization, & analysis

Najim, K.

ScienceDirect An electronic book accessible through the World Wide Web; click for information
Publisher description http://www.loc.gov/catdir/enhancements/fy0618/2004050747-d.html
Table of contents only http://www.loc.gov/catdir/enhancements/fy0618/2004050747-t.html

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approximation algorithms, which can provide prototype models in many practical applications. *An engineering

Modelling, Simulation and Optimization

Luisa Martinez Muneta

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algebraic and differential equations or a mathematical model. In order to perform rapid product optimisation

Optimization in Medicine

Alves, Carlos J. S. editor.

http://dx.doi.org/10.1007/978-0-387-73299-2

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seizures. Mathematics in medicine can also be found in recent cancer research. Sophisticated mathematical

Modeling of Biological Materials

Mollica, Francesco. editor.

http://dx.doi.org/10.1007/b138320

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in medicine. Models are tested in realistic experiments, results are extracted analytically or

LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay

Lin, Chong. author.

http://dx.doi.org/10.1007/978-3-540-49554-3

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conjunction to understand the s tem’s behavior and build useful mathematical models. Di?erent types of fuzzy

Advanced Computing in Industrial Mathematics 11th Annual Meeting of the Bulgarian Section of SIAM December 20-22, 2016, Sofia, Bulgaria. Revised Selected Papers

Georgiev, Krassimir. editor.

https://doi.org/10.1007/978-3-319-65530-7

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tools used in Industrial Mathematics, which are based on mathematical models, and the corresponding

Aspects of Mathematical Modelling Applications in Science, Medicine, Economics and Management

Hosking, Roger J. editor.

http://dx.doi.org/10.1007/978-3-7643-8591-0

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The construction of mathematical models is an essential scientific activity. Mathematics has long

Math Everywhere Deterministic and Stochastic Modelling in Biomedicine, Economics and Industry. Dedicated to the 60th Birthday of Vincenzo Capasso

Aletti, Giacomo. editor.

http://dx.doi.org/10.1007/978-3-540-44446-6

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with Applications to Simulation Iterated Function Systems on Multifunctions Mathematical Problems

Cellular Automaton Modeling of Biological Pattern Formation Characterization, Applications, and Analysis

Deutsch, Andreas. author.

http://dx.doi.org/10.1007/b138451

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deduced solely from experimental analysis, but can be more easily examined using mathematical models, in

Handbook of latent variable and related models

Lee, Sik-Yum.

ScienceDirect An electronic book accessible through the World Wide Web; click for information
Publisher description http://www.loc.gov/catdir/enhancements/fy0703/2006052150-d.html

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important models Models and statistical methods described provide tools for analyzing a wide spectrum of

Modeling Longitudinal Data

Weiss, Robert E. author.

http://dx.doi.org/10.1007/0-387-28314-5

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and issues for random effects models cover estimation, shrinkage, clustered data, models for binary

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III

Medina, Jesús. editor.

https://doi.org/10.1007/978-3-319-91479-4

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: Foundations and Applications Mathematical Fuzzy Logic, Mathematical Morphology Measures of Comparison

Systems Biology Approaches to Understanding the Cause and Treatment of Heart, Lung, Blood, and Sleep Disorders

Pankaj Qasba

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biology and medicine. Despite this dramatic progress, one of the greatest challenges that continues to

mODa 8 - Advances in Model-Oriented Design and Analysis Proceedings of the 8th International Workshop in Model-Oriented Design and Analysis held in Almagro, Spain, June 4–8, 2007

López-Fidalgo, Jesús. editor.

http://dx.doi.org/10.1007/978-3-7908-1952-6

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. Primary topics are designs for nonlinear models and applications to experimental medicine.

Nanobiotechnology of Biomimetic Membranes

Martin, Donald K. editor.

http://dx.doi.org/10.1007/0-387-37740-9

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disciplines, the sciences of computation and informatics, mathematical models exploiting and advancing methods

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part I

Medina, Jesús. editor.

https://doi.org/10.1007/978-3-319-91473-2

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: Foundations and Applications Mathematical Fuzzy Logic, Mathematical Morphology Measures of Comparison

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part II

Medina, Jesús. editor.

https://doi.org/10.1007/978-3-319-91476-3

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: Foundations and Applications Mathematical Fuzzy Logic, Mathematical Morphology Measures of Comparison

Biomedical Technology Modeling, Experiments and Simulation

Wriggers, Peter. editor.

https://doi.org/10.1007/978-3-319-59548-1

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This book provides an overview of new mathematical models, computational simulations and

Model-Based Hypothesis Testing in Biomedicine : How Systems Biology Can Drive the Growth of Scientific Knowledge.

Johansson, Rikard.

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Publications and Manuscripts Abbreviations Mathematical symbols Table of Contents 1 Introduction

Prostate Cancer.

Chen, Allen.

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Radiation Medicine Rounds Radiation Medicine Rounds Contents Foreword Preface

Medical Device Data and Modeling for Clinical Decision Making.

Zaleski, John R.

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Models 2.5 Deterministic Mathematical Models 2.6 Probability and Statistics 2.6.1 Binomial

The Future of Life and the Future of our Civilization

Burdyuzha, Vladimir. editor.

http://dx.doi.org/10.1007/978-1-4020-4968-2

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Deuterium Explosion Power Accelerating Changes in our Epoch and the Role of Time Horizons Mathematical

Differential Equation Analysis in Biomedical Science and Engineering : Partial Differential Equation Applications with R.

Schiesser, William E.

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interpretation of experimental data with mathematical models in order to efficiently solve the associated

Computational Biology : New Research.

Russe, Alona S.

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Deconvolution of Positional Scanning Synthetic Combinatorial Libraries: Mathematical Models and Bioinformatics

Nanoparticles in Biomedical Imaging Emerging Technologies and Applications

Bulte, Jeff W.M. editor.

http://dx.doi.org/10.1007/978-0-387-72027-2

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disciplines, the sciences of computation and informatics, mathematical models exploiting and advancing methods

Genomic Signal Processing.

Shmulevich, Ilya.

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mathematical modeling in relation to systems biology and systems medicine. Genomic Signal Processing makes a

Intelligent Systems Modeling and Decision Support in Bioengineering.

Mahfouf, Mahdi.

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Approach to Model Reduction for Complex Physiologically Based Drug Models 85 4.1 Introduction 85 4.2

Differential Equation Analysis in Biomedical Science and Engineering : Partial Differential Equation Applications with R.

Schiesser, William E.

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applications and interpretation of experimental data with mathematical models in order to efficiently solve the

Constructive Modeling of Structural Turbulence and Hydrodynamic Instabilities.

Belotserkovskii, O M.

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intensive dynamic loadings D.4.5. Nonlinear contact shell dynamics D.4.6. Computer models in medicine

Mathematics and Physics of Emerging Biomedical Imaging.

Staff, National Research Council.

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MATHEMATICAL MODELS FOR PARTICULAR IMAGING MODALITIES 14.1.1 Transmission Computed Tomography 14.1.2

Genomic and Personalized Medicine : V1-2.

Ginsburg, Geoffrey S.

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Quantitative Predictive Models of Biological Systems Personalized and Predictive Genomics and Proteomics

Mathematical Modeling.

Kapur, J. N.

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Closed Dynamical Systems for Inter Industry Relations 3.5 Mathematical Models in Medicine, Arms Race

Bios : A Study Of Creation.

Sabelli, Hector.

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economic processes; mathematical models of bipolar (positive and negative) feedback that generate biotic

Elements of Computational Systems Biology.

Lodhi, Huma M.

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reduce the gap between mathematics and biology by presenting chapters on mathematical models of

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