Insight diagram
A relationship between, cave fish and what it eats
Mammoth Cave Relationship
Insight diagram
Description:

A simple model for breeding plants from generation to generation in 3 different locations, with one "yield" variable (e.g. height) and 4 combinations of plants from the parents. Simulation tracks the frequencies of each combination in each generation as well as the overall average height by generation.

The slider will select from 1 of 5 presets that changes the characteristics of each location's plants.

The graph of A1A2 Proportion represents both A1A2 and A2A1 since they are interchangeable.

Clone of Plant Breeding Simulation
Insight diagram
Een dynamisch model over een prooi predator relatie tussen verschillende populaties onder invloed van abiotische factoren.
Clone of Abiotische factoren aanwezig of Koein en Reuzenvogels en blumentjens Dio 5V prey predator
Insight diagram
Simple Feedback of Insulin: Model 2 (dampening oscillation)
Insight diagram

​From Fig 1.1 p11  Pigliucci M and Muller GB (2010) Evolution: The Extended Synthesis. This is a shift in emphasis from statistical correlation to mechanistic causation (p12), including the conditions for the origin and innovation of traits (p13). It overcomes the gradualism, externalism and gene centrism of the Modern Synthesis. Non-gradual change is a property of complex dynamical systems. EvoDevo processes generate particular forms of change rather than others.Genes are followers in the evolutionary process that capture the emergent interactions among environment, development and inheritance into genetic-epigenetic circuits, which are passed to and elaborated on in subsequent generations (p14).

Evolution extended synthesis
Insight diagram
From Fig 12.2 p317 Pigliucci M and Muller GB (2010) Evolution: The Extended Synthesis
Development dynamic interactions
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WIP Summary of Cell Systems 2024 article Versatile system cores as a conceptual basis for generality in cell and developmental biology
Core and periphery hypothesis for cells and developmental systems
Insight diagram
Adapted from ​Fig 5.1 p102 From Thompson's Mind in Life Book
Self-Organization
Insight diagram
4260 Modelling Assignment 1
Insight diagram
​Physical meaning of the equations
The Lotka–Volterra model makes a number of assumptions about the environment and evolution of the predator and prey populations:

1. The prey population finds ample food at all times.
2. The food supply of the predator population depends entirely on the size of the prey population.
3. The rate of change of population is proportional to its size.
4. During the process, the environment does not change in favour of one species and genetic adaptation is inconsequential.
5. Predators have limitless appetite.
As differential equations are used, the solution is deterministic and continuous. This, in turn, implies that the generations of both the predator and prey are continually overlapping.[23]

Prey
When multiplied out, the prey equation becomes
dx/dt = αx - βxy
 The prey are assumed to have an unlimited food supply, and to reproduce exponentially unless subject to predation; this exponential growth is represented in the equation above by the term αx. The rate of predation upon the prey is assumed to be proportional to the rate at which the predators and the prey meet; this is represented above by βxy. If either x or y is zero then there can be no predation.

With these two terms the equation above can be interpreted as: the change in the prey's numbers is given by its own growth minus the rate at which it is preyed upon.

Predators

The predator equation becomes

dy/dt =  - 

In this equation, {\displaystyle \displaystyle \delta xy} represents the growth of the predator population. (Note the similarity to the predation rate; however, a different constant is used as the rate at which the predator population grows is not necessarily equal to the rate at which it consumes the prey). {\displaystyle \displaystyle \gamma y} represents the loss rate of the predators due to either natural death or emigration; it leads to an exponential decay in the absence of prey.

Hence the equation expresses the change in the predator population as growth fueled by the food supply, minus natural death.


Clone of Prey&Predator
Insight diagram
keep on from here
http://www.suryatech.com/pages/wildlifemanagement-2.pdf
Modified Lotka–Volterra model (plants, preys, predators)
Insight diagram
THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a component the creation of unpredictable chaotic turbulence puts the controls ito a situation that will never return the system to its initial conditions as it is STIC system (Lorenz)

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite working containers (villages communities)

Clone of Clone of THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES CHAOTIC TURBULENCE (+controls)
Insight diagram
Carbon Cycle (HS Biology)
Insight diagram
Chlorella vulgaris growth and lipid production
Insight diagram
Protein conformance change based on Ed Gallaher and Jim Rogers 2021 Forrester Award Lecture ISDC
Protein Dynamics
Insight diagram
THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a component the creation of unpredictable chaotic turbulence puts the controls ito a situation that will never return the system to its initial conditions as it is STIC system (Lorenz)

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite working containers (villages communities)

Clone of Clone of Clone of THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES CHAOTIC TURBULENCE (+controls)
Insight diagram
THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a component the creation of unpredictable chaotic turbulence puts the controls ito a situation that will never return the system to its initial conditions as it is STIC system (Lorenz)

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite working containers (villages communities)

Clone of THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES CHAOTIC TURBULENCE (+controls)
Insight diagram
A model of the exponential growth phase of E. coli growth.
Clone of E coli growth model
Insight diagram
Een dynamisch model over een prooi predator relatie tussen verschillende populaties onder invloed van abiotische factoren.
Clone of Koein en Reuzenvogels en blumentjens Dio 5V prey predator
Insight diagram
Killed People by Made-up virus
Insight diagram
Simple Basic Model as suggested in the manual (in German)
Modellierung einer einfachen Infektionskrankheit
Insight diagram
Stock flow map of Immune System Cell type proliferation and differentiation, migration and circulation from Figs 1.3, 8.14 and 8.33 from Janeway's Immunobiology see Insight . Does not include cell death, interactions or inhibitory and promoting factors
Immune System Development
Insight diagram
Overview of theory from Progress in Biophysics & Molecular Biology Special Issue 2016 From the century of the genome to the century of the organism: New theoretical approaches paper on organization. See example1 insight and example 2 insight Compare with Bogdanov (click tag)
Biology Principles of Organization and Variation Overview
Insight diagram
Evolutionary Accretion Model of Human Memory mostly from Murray 2016/7 Book and 2019 Ferbinteanu Memory Theory article See also Brain systems modelling 2021 article
The evolution of human memory