Un modello per l'effetto di alcuni fattori (T, pH, aW, conservanti) e della competizione/amensalismo sulla crescita di una comunità microbica semplificata (Listeria monocytogenes, Latilactobacillus sakei) negli alimenti.  Lo scopo del modello è illustrare concetti come:  a. la crescita in assenza o
Un modello per l'effetto di alcuni fattori (T, pH, aW, conservanti) e della competizione/amensalismo sulla crescita di una comunità microbica semplificata (Listeria monocytogenes, Latilactobacillus sakei) negli alimenti.
Lo scopo del modello è illustrare concetti come:
a. la crescita in assenza o in presenza di competizione/amensalismo
b. l'effetto delle interazioni microbiche
c. l'effetto di alcuni fattori ambientali e tecnologici
Il sistema potrebbe ragionevolmente rappresentare un insaccato fermentato durante la produzione. Tuttavia non ho inserito quelli che potrebbero essere effetti di declino delle popolazioni dovuti alle condizioni avverse durante la stagionatura e conservazione.
44 5 months ago
This simulation shows how plant, deer and wolf populations impact each other in a deciduous forest ecosystem.
This simulation shows how plant, deer and wolf populations impact each other in a deciduous forest ecosystem.
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)
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)
2 months ago
WIP Summary of Cell Systems 2024  article  Versatile system cores as a conceptual basis
for generality in cell and developmental biology
WIP Summary of Cell Systems 2024 article Versatile system cores as a conceptual basis for generality in cell and developmental biology
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Een dynamisch model over een prooi predator relatie tussen verschillende populaties onder invloed van abiotische factoren.
Een dynamisch model over een prooi predator relatie tussen verschillende populaties onder invloed van abiotische factoren.
Een dynamisch model over een prooi predator relatie tussen verschillende populaties onder invloed van abiotische factoren.
Een dynamisch model over een prooi predator relatie tussen verschillende populaties onder invloed van abiotische factoren.
An attempt to model the allegation that over-consumption of calcium causes osteoporosis.
An attempt to model the allegation that over-consumption of calcium causes osteoporosis.
Protein conformance change based on Ed Gallaher and Jim Rogers 2021 Forrester Award Lecture ISDC
Protein conformance change based on Ed Gallaher and Jim Rogers 2021 Forrester Award Lecture ISDC
  Физический смысл уравнений    Модель Лотки-Вольтерры делает ряд предположений об окружающей среде и эволюции популяций хищников и жертв:         1. Хищная популяция всегда находит достаточно пищи.  2. Продовольственная обеспеченность популяции хищника полностью зависит от размера популяции жертвы.
Физический смысл уравнений
Модель Лотки-Вольтерры делает ряд предположений об окружающей среде и эволюции популяций хищников и жертв:

1. Хищная популяция всегда находит достаточно пищи.
2. Продовольственная обеспеченность популяции хищника полностью зависит от размера популяции жертвы.
3. Скорость изменения численности населения пропорциональна его численности.
4. В ходе этого процесса окружающая среда не меняется в пользу одного вида, и генетическая адаптация не имеет существенного значения.
5. Хищники обладают безграничным аппетитом.
Поскольку используются дифференциальные уравнения, решение является детерминированным и непрерывным. Это, в свою очередь, означает, что поколения как хищника, так и жертвы постоянно пересекаются.

Добыча
Когда умножается, уравнение добычи становится
dx/dt = αx - βxy
  Предполагается, что добыча имеет неограниченный запас пищи и размножается экспоненциально, если только она не подвержена хищничеству; этот экспоненциальный рост представлен в приведенном выше уравнении термином  αx. Предполагается, что скорость хищничества на добыче пропорциональна скорости, с которой встречаются хищники и добыча; это представлено выше в виде βxy.Если либо x, либо y равно нулю, то хищничества быть не может.
С помощью этих двух терминов приведенное выше уравнение можно интерпретировать следующим образом: изменение численности добычи определяется ее собственным ростом минус скорость, с которой она охотится.
ХищникиУравнение хищника становится

dy/dt =  - 

В этом уравнении,  представляет рост популяции хищника. (Обратите внимание на сходство со скоростью хищничества; однако используется другая константа, поскольку скорость роста популяции хищника не обязательно равна скорости, с которой он потребляет добычу).  представляет собой уровень потерь хищников вследствие естественной смерти или эмиграции; это приводит к экспоненциальному распаду в отсутствие добычи.


Следовательно, уравнение выражает изменение популяции хищников как рост, подпитываемый запасом пищи, минус естественная смерть.


Level of biological organization linking cell level division and population level evolution
Level of biological organization linking cell level division and population level evolution
  ​Predator-prey
models are the building masses of the bio-and environments as bio
masses are become out of their asset masses. Species contend, advance and
scatter essentially to look for assets to support their battle for their very
presence. Contingent upon their particular settings of uses, they

​Predator-prey models are the building masses of the bio-and environments as bio masses are become out of their asset masses. Species contend, advance and scatter essentially to look for assets to support their battle for their very presence. Contingent upon their particular settings of uses, they can take the types of asset resource-consumer, plant-herbivore, parasite-have, tumor cells- immune structure, vulnerable irresistible collaborations, and so on. They manage the general misfortune win connections and thus may have applications outside of biological systems. At the point when focused connections are painstakingly inspected, they are regularly in actuality a few types of predator-prey communication in simulation. 

 Looking at Lotka-Volterra Model:

The well known Italian mathematician Vito Volterra proposed a differential condition model to clarify the watched increment in predator fish in the Adriatic Sea during World War I. Simultaneously in the United States, the conditions contemplated by Volterra were determined freely by Alfred Lotka (1925) to portray a theoretical synthetic response wherein the concoction fixations waver. The Lotka-Volterra model is the least complex model of predator-prey communications. It depends on direct per capita development rates, which are composed as f=b−py and g=rx−d. 

A detailed explanation of the parameters:

  • The parameter b is the development rate of species x (the prey) without communication with species y (the predators). Prey numbers are reduced by these collaborations: The per capita development rate diminishes (here directly) with expanding y, conceivably getting to be negative. 
  • The parameter p estimates the effect of predation on x˙/x. 
  • The parameter d is the death rate of species y without connection with species x. 
  • The term rx means the net rate of development of the predator population in light of the size of the prey population.

Reference:

http://www.scholarpedia.org/article/Predator-prey_model

 

This model is a basic model on how the glucose level in blood is maintained.
This model is a basic model on how the glucose level in blood is maintained.

Bipolar II treatment modeling using Van der Pol-like oscillators.  In this simulation an afflicted individual with Bipolar II disorder is put to treatment after 20 months the calibration of the medicine or treatment he recieves is such that it simulates the natural cycles of a "normal being". You ca
Bipolar II treatment modeling using Van der Pol-like oscillators.

In this simulation an afflicted individual with Bipolar II disorder is put to treatment after 20 months the calibration of the medicine or treatment he recieves is such that it simulates the natural cycles of a "normal being". You can note by manipulating the parameters that sometimes too much treatment disrupts equilibria. Also note that in the state diagrams there are 2 limit cycles, the lower one being the healthiest as there are less changes.
 ​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
​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/dtαx - 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.