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Purky
A Brighter Future for Polluted Waters? Bioremediation and the Fight Against Acid Mine Drainage

A chemostat study of BSR was carried out using anaerobic digestate as a carbon source and electron donor. These data and their kinetic analysis are presented in Chapter 5. Here the effect of the volumetri…

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Ashanthi Maxworth
One Hundred Applications of Maxwell's Equations

Maxwell's equations explain the basics of electricity and magnetism. The four equations provide a mathematical model for electric, optical, and radio technologies. And yet, when learning electromagnetic f…

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Mathematical Modeling for Women's Health

The purpose of this work is to focus mathematical modeling on issues affecting women s health. Working in six collaborative teams, researchers developed new mathematical models to address questions in a r…

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Nonlinear Acoustics

This open access book is an introductory text on the theory of nonlinear acoustics authored by experts on their respective topics. It is written at a level appropriate for a graduate course on nonlinear a…

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Elisa Affili, Enrico Valdinoci, Luca Rossi, Serena Dipierro
A New Lotka-Volterra Model of Competition With Strategic Aggression

This monograph introduces a new mathematical model in population dynamics that describes two species sharing the same environmental resources in a situation of open hostility. Its main feature is the expa…

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Power Systems Research and Operation

This book covers new technologies and methods related to models for short-term forecasting of electricity imbalances in the IPS of Ukraine, taking into account the impact of forecasts of energy production…

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Emerging Food Authentication Methodologies Using GC/MS

This edited book provides an overview of existing and emerging gas chromatography/mass spectrometry (GC/MS) based methods for the authentication and fraud detection in all major food groups and beverages.…

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Lawrence Somer, Michal K¿í¿ek
Mathematical Aspects of Paradoxes in Cosmology

This book provides a mathematical and numerical analysis of many problems which lead to paradoxes in contemporary cosmology, in particular, the existence of dark matter and dark energy. It is shown that t…

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Philip K. Maini
Mathematical Biology

Mathematical biology develops models which are applied to processes in biology and medicine. Philip K. Maini describes the art of modelling, what it is, why we do it.

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Ryan Chisholm
Theoretical Ecology

An accessible and wide-ranging introduction to the concepts and tools of theoretical ecologyTheoretical ecology explores the mechanisms that structure ecological communities using a variety of mathematica…

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Ryan Chisholm
Theoretical Ecology

An accessible and wide-ranging introduction to the concepts and tools of theoretical ecologyTheoretical ecology explores the mechanisms that structure ecological communities using a variety of mathematica…

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Cellular Automata

Lecture Notes in Computer Science -Band 14978

This book constitutes the refereed proceedings of the 16th International Conference on Cellular Automata for Research and Industry, Cellular Automata, ACRI 2024, held in Florence, Italy, in September 9 11…

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Amir Javidinejad
Standard Methods for Aerospace Stress Analysis

Create safer, more reliable planes with this crucial guide Aerospace Stress Analysis is the field of research and engineering that evaluates stresses and strains on aerospace structures. By analyzing how …

lieferbar ab 29.7.2025.

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Erdem Cuce, Pinar Mert Cuce
Solar Chimney Power Plants

Solar Chimney Power Plants: From Theory to Practice offers detailed information in one place, covering working principles, efficiency, performance-enhancing methods, experimental and theoretical studies, …

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Jean-Michel Roquejoffre
The Dynamics of Front Propagation in Nonlocal Reaction-Diffusion Equations

The book provides a self-contained and complete description of the long time evolution of the solutions to a class of one-dimensional reaction-diffusion equations, in which the diffusion is given by an in…

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Zekâi ¿En
Shallow and Deep Learning Principles

This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least…

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