Listing 1 - 8 of 8 |
Sort by
|
Choose an application
This book describes the variety of direct and indirect population size estimation (PSE) methods available along with their strengths and weaknesses. Direct estimation methods, such as enumeration and mapping, involve contact with members of hard-to-reach groups. Indirect methods have practical appeal because they require no contact with members of hard-to-reach groups. One indirect method in particular, network scale-up (NSU), has several strengths over other PSE methods: It can be applied at a province/country level, it can estimate size of several hard-to-reach population in a single study, and it is implemented with members of the general population rather than members of hard-to-reach groups. The book discusses methods to collect, analyze, and adjust results and presents methods to triangulate and finalize PSEs.
Epidemiology. --- Biomathematics. --- Genetics and Population Dynamics. --- Biology --- Mathematics --- Diseases --- Public health --- Epidemiologia --- Biomatemàtica --- Biologia --- Matemàtica --- Model de Lotka-Volterra --- Biometria --- Salut pública --- Comorbiditat --- Epidèmies --- Epidemiologia molecular --- Farmacoepidemiologia --- Morbiditat --- Malalties
Choose an application
This beautifully crafted book collects images, which were created during the process of research in all fields of theoretical biology. Data analysis, numerical treatment of a model, or simulation results yield stunning images, which represent pieces of art just by themselves. The approach of the book is to present for each piece of visualization a lucid synopsis of the scientific background as well as an outline of the artistic vision. .
Systems biology. --- Mathematics. --- Visualization. --- Fine arts. --- Bioinformatics. --- Systems Biology. --- Fine Arts. --- Computational Biology/Bioinformatics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Visualisation --- Imagination --- Visual perception --- Imagery (Psychology) --- Math --- Science --- Bioinformatics --- Biological systems --- Molecular biology --- Data processing --- Biomatemàtica --- Biologia --- Matemàtica --- Model de Lotka-Volterra --- Biometria
Choose an application
Epidemiology --- Biomathematics --- Mathematical models --- Mathematical models. --- Diseases --- Public health --- Epidemiologia --- Models matemàtics --- Biomatemàtica --- Biologia --- Matemàtica --- Model de Lotka-Volterra --- Biometria --- Models (Matemàtica) --- Models experimentals --- Models teòrics --- Mètodes de simulació --- Anàlisi de sistemes --- Mètode de Montecarlo --- Modelització multiescala --- Models economètrics --- Models lineals (Estadística) --- Models multinivell (Estadística) --- Models no lineals (Estadística) --- Programació (Ordinadors) --- Simulació per ordinador --- Teoria de màquines --- Models biològics --- Salut pública --- Comorbiditat --- Epidèmies --- Epidemiologia molecular --- Farmacoepidemiologia --- Morbiditat --- Malalties
Choose an application
Equacions diferencials retardades --- Biomatemàtica --- Biologia --- Matemàtica --- Model de Lotka-Volterra --- Biometria --- Equacions diferencials amb retard --- Equacions diferencials amb argument retardat --- Delay differential equations. --- Delay equations (Differential equations) --- Delay functional differential equations --- Differential delay equations --- Differential equations --- Differential equations with lag --- Functional differential equations --- Retarded argument (Differential equations) --- Retarded differential equations --- Retarded functional differential equations --- Time-lag systems (Differential equations) --- Delay equations --- Retarded argument --- Time-lag equations
Choose an application
Statistical physics. --- Biomathematics. --- Mathematical models. --- Models, Mathematical --- Simulation methods --- Biology --- Mathematics --- Physics --- Mathematical statistics --- Statistical methods --- Física estadística --- Biomatemàtica --- Models matemàtics --- Models (Matemàtica) --- Models experimentals --- Models teòrics --- Mètodes de simulació --- Anàlisi de sistemes --- Mètode de Montecarlo --- Modelització multiescala --- Models economètrics --- Models lineals (Estadística) --- Models multinivell (Estadística) --- Models no lineals (Estadística) --- Programació (Ordinadors) --- Simulació per ordinador --- Teoria de màquines --- Models biològics --- Biologia --- Matemàtica --- Model de Lotka-Volterra --- Biometria --- Estadística matemàtica --- Física --- Integrals de camí --- Mecànica estadística --- Percolació (Física estadística) --- Sistemes oberts (Física) --- Teoria cinètica de la matèria --- Teoria cinètica dels líquids --- Transformacions de fase (Física estadística)
Choose an application
This book describes fundamental physical principles, together with their mathematical formulations, for modelling the propagation of signals in nerve fibres. Above all, it focuses on the complex electro-mechano-thermal process that produces an ensemble of waves composed of several components, besides the action potential. These components include mechanical waves in the biomembrane and axoplasm, together with the temperature change. Pursuing a step-by-step approach, the content moves from physics and mathematics, to describing the physiological effects, and finally to modelling the coupling effects. The assumptions and hypotheses used for modelling, as well as selected helpful concepts from continuum mechanics, are systematically explained, and the modelling is illustrated using the outcomes of numerical simulation. The book is chiefly intended for researchers and graduate students, providing them with a detailed description of how to model the complex physiological processes in nerve fibres.
Biomathematics. --- Neurosciences. --- Biophysics. --- Biological physics. --- Bioinformatics. --- Statistical physics. --- Dynamical systems. --- Mathematical and Computational Biology. --- Biological and Medical Physics, Biophysics. --- Complex Systems. --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Mathematical statistics --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Biological physics --- Medical sciences --- Neural sciences --- Neurological sciences --- Neuroscience --- Nervous system --- Statistical methods --- Data processing --- Mathematics. --- Math --- Science --- Biomatemàtica --- Física estadística --- Estadística matemàtica --- Física --- Integrals de camí --- Mecànica estadística --- Percolació (Física estadística) --- Sistemes oberts (Física) --- Teoria cinètica de la matèria --- Teoria cinètica dels líquids --- Transformacions de fase (Física estadística) --- Biologia --- Matemàtica --- Model de Lotka-Volterra --- Biometria
Choose an application
The second edition of Mathematics as a Laboratory Tool reflects the growing impact that computational science is having on the career choices made by undergraduate science and engineering students. The focus is on dynamics and the effects of time delays and stochastic perturbations (“noise”) on the regulation provided by feedback control systems. The concepts are illustrated with applications to gene regulatory networks, motor control, neuroscience and population biology. The presentation in the first edition has been extended to include discussions of neuronal excitability and bursting, multistability, microchaos, Bayesian inference, second-order delay differential equations, and the semi-discretization method for the numerical integration of delay differential equations. Every effort has been made to ensure that the material is accessible to those with a background in calculus. The text provides advanced mathematical concepts such as the Laplace and Fourier integral transforms in the form of Tools. Bayesian inference is introduced using a number of detective-type scenarios including the Monty Hall problem. Review: "Based on the authors' experience teaching biology students, this book introduces a wide range of mathematical techniques in a lively and engaging style. Examples drawn from the authors' experimental and neurological studies provide a rich source of material for computer laboratories that solidify the concepts. The book will be an invaluable resource for biology students and scientists interested in practical applications of mathematics to analyze mechanisms of complex biological rhythms." (Leon Glass, McGill University, 2013).
Biomathematics. --- Neurology . --- Cell physiology. --- Mathematical and Computational Biology. --- Neurology. --- Cell Physiology. --- Cell function --- Cytology --- Physiology --- Medicine --- Nervous system --- Neuropsychiatry --- Biology --- Mathematics --- Diseases --- Biomatemàtica --- Equacions diferencials --- Biologia --- Matemàtica --- Model de Lotka-Volterra --- Biometria --- Càlcul --- Funcions de Bessel --- Àlgebra diferencial --- Càlcul integral --- Càlcul operacional --- Equacions d'evolució --- Equacions de camp d'Einstein --- Equacions de Lagrange --- Equacions de Pfaff --- Equacions diferencials algebraiques --- Equacions diferencials ordinàries --- Equacions en derivades parcials --- Funcions de Green --- Funcions de Lyapunov --- Problemes de contorn --- Problemes inversos (Equacions diferencials) --- Teoria d'estabilitat (Matemàtica) --- Transformació de Laplace --- Differential equations. --- 517.91 Differential equations --- Differential equations
Choose an application
Biomatemàtica --- Ecologia --- Models matemàtics --- Models (Matemàtica) --- Models experimentals --- Models teòrics --- Mètodes de simulació --- Anàlisi de sistemes --- Mètode de Montecarlo --- Modelització multiescala --- Models economètrics --- Models lineals (Estadística) --- Models multinivell (Estadística) --- Models no lineals (Estadística) --- Programació (Ordinadors) --- Simulació per ordinador --- Teoria de màquines --- Models biològics --- Bionomia --- Ciència ecològica --- Equilibri en la natura --- Processos ecològics --- Biologia --- Ciències ambientals --- Bioclimatologia --- Cadenes alimentàries (Ecologia) --- Cicles biogeoquímics --- Biocenosis --- Ecologia agrícola --- Ecologia animal --- Ecologia aquàtica --- Ecologia de les illes --- Ecologia de les costes --- Ecologia de les muntanyes --- Ecologia de les praderies --- Ecologia de les regions àrides --- Ecologia de les zones humides --- Ecologia del foc --- Ecologia del paisatge --- Ecologia dels sòls --- Ecologia espacial --- Ecologia microbiana --- Ecologia química --- Ecologia teòrica --- Ecologia urbana --- Ecologia vegetal --- Ecosistemes --- Hàbitat (Ecologia) --- Indicadors biològics --- Medi ambient --- Microclimatologia --- Nutrients (Medi ambient) --- Paleoecologia --- Predació (Biologia) --- Relacions animal-planta --- Restauració ecològica --- Successió ecològica --- Biodiversitat --- Biologia de poblacions --- Biosfera --- Ecòlegs --- Natura --- Premi Ramon Margalef d'Ecologia --- Simbiosi --- Matemàtica --- Model de Lotka-Volterra --- Biometria --- Resiliència (Ecologia) --- Biomathematics. --- Ecology --- Population genetics. --- Mathematical models. --- Genetics --- Heredity --- Biology --- Mathematics
Listing 1 - 8 of 8 |
Sort by
|