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Related Concept Videos

Exponential Equations for Modeling Growth01:26

Exponential Equations for Modeling Growth

Exponential models are essential for describing rapid, multiplicative changes in natural systems, such as population growth. When a population doubles at regular intervals, the process can be modeled using a suitable base. For instance, a bacterial culture that doubles every three hours follows the model n(t)=n0⋅2t/3, where n(t) is the population at the time t.A more general model uses the natural base e, especially for continuous growth. This takes the form n(t)=n0⋅ert, where r is the relative...
Modeling with Differential Equations01:25

Modeling with Differential Equations

Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
Population Growth00:57

Population Growth

Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
Exponential Growth01:29

Exponential Growth

Bacterial populations exhibit exponential growth when conditions such as nutrient availability and temperature are favorable. In this phase, cells reproduce through binary fission, where each cell divides into two identical daughter cells. This process causes the population to double at regular intervals, resulting in a growth rate that is directly proportional to the current number of cells. As the population increases, the number of new cells formed during each generation also grows, creating...
Growth Models with Integration: Problem Solving01:27

Growth Models with Integration: Problem Solving

In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...

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Related Experiment Video

Updated: May 30, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

Off-lattice Eden-C cluster growth model.

C Y Wang1, P L Liu, J B Bassingthwaighte

  • 1Departments of Mathematics and Physiology, Michigan State University, MI, USA.

Journal of Physics A: Mathematical and General
|September 28, 2011
PubMed
Summary
This summary is machine-generated.

A novel cluster growth model, similar to the lattice-free Eden-C model, was developed. Computer simulations reveal a constant interior density and a fractal boundary with thickness scaling with the mean radius.

More Related Videos

Precise, High-throughput Analysis of Bacterial Growth
09:00

Precise, High-throughput Analysis of Bacterial Growth

Published on: September 19, 2017

Related Experiment Videos

Last Updated: May 30, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

Precise, High-throughput Analysis of Bacterial Growth
09:00

Precise, High-throughput Analysis of Bacterial Growth

Published on: September 19, 2017

Area of Science:

  • Physics
  • Materials Science
  • Computational Modeling

Background:

  • Cluster growth models are crucial for understanding pattern formation in various physical systems.
  • The Eden model and its variants are widely studied for their fractal properties.

Purpose of the Study:

  • To introduce and analyze a new non-trivial cluster growth model.
  • To investigate the scaling properties of the model's density and boundary.

Main Methods:

  • A lattice-free growth model was constructed by randomly adding contiguous, non-overlapping circles.
  • Large-scale computer simulations were employed to observe cluster evolution.

Main Results:

  • The interior density of the growing clusters was found to be constant at approximately 0.650.
  • The boundary of the clusters exhibited fractal characteristics.
  • The boundary thickness was observed to scale with the mean radius, following a power law with an exponent of 0.396.

Conclusions:

  • The proposed model offers a new perspective on cluster growth phenomena.
  • The findings highlight the interplay between constant density and fractal boundaries in this growth model.
  • The scaling exponent provides quantitative insight into the boundary's structure.