Answer:
A possible scenario would be many rusty pipes with abundant soil in an abandoned area or house.
The probable microorganism would be clostritium tetani, which causes tetanus disease.
This clostridium is eliminated once the oxidized surfaces are exterilized, eliminated and cleaned with disinfectants.
In addition, it could be sprayed with disinfectant on the ground to kill the presence of possible spores of this bacterium.
Explanation:
Clostridium tetani is a bacterium that affects the central and peripheral nervous systems of humans.
Today there is a vaccine for this bacterium, which is called tetanus and is administered against a possible accident, surgical act or risk of having been inoculated with the bacteria.
The current tetanus vaccine has a longevity of 10 years in the human organism, once this period has passed, the booster should be given.
This bacterium coexists with other microorganisms in this environment with accumulations of soil and rust, which the most dangerous would be fungi (they trigger deep mycosis). An example of these fungi is: histoplasma capsulatum, responsible for generating histoplasmosis.
Answer:
Doppler Red-Shift Evidence
Explanation:
The Doppler red-shift of light observed from distant stars and galaxies gives evidence that the universe is expanding (moving away from a central point). This allows for Big Bang Theory, because after a “bang” occurs all of the matter moves away from the point of origin.
Answer:
The simultaneous effect of a predator population on a prey population and a prey population on a predator population over time.
Explanation:
The mathematical models of Lotka-Volterra equations explain the existing interaction between species in which prey and predator influence and affect each other. The model follows a few assumptions,
- The ecosystem is isolated and closed. There is no migration.
- The whole individuals are reproductively equivalent.
- In the absence of the predator, prey shows an exponential growth rate. The prey is in the ideal environment.
- When there is no prey, the predator population decreases exponentially because of the lack of food. The predator environment is ideal, but it is limited by prey density.
- The predation rate is proportional to the encounters rate, which also depends on density.
- The predators affect the prey populations, inducing its decrease proportionally to the number of prey and predators present.
- The prey population also influences the predator population proportionally to the number of encounters between the two species.
In these equations, the variable D is the number of predators, and P the number of prey items.
The parameters are always constant:
• r1: prey growth rate.
• a1: predator hunting success.
• r2: predator growth rate.
• a2: the success of the predator in hunting and feeding.
In nature, many factors affect interactions, such as dense-dependent factors and dense-independent factors. Also, in reality, there are stochastic factors. Stochasticity refers to the variability in the system involving those factors that are affecting or influencing population growth. Stochasticity might be related to good years and bad years for population growth.
In real situations, the compliance of the whole assumption does not occur. The previously mentioned constants might vary, constantly changing the interaction between the predator and the prey. These parameters change in different degrees, resulting in varying circumstances for both species.
That which exists, a being, a creature, an entity.
The right options are;
determine the x- and y- variables
plot the data points
draw a line of best fit to represent the data trend
A graph is a diagram which displays the relationship between two or more measurements or numbers using curve, line or bars. When creating a graph, it is important to determine the x- and y- variables. An independent variable is usually represented on the X-axis (horizontal line) while a dependent variable is usually represented on the Y-axis (vertical line). The data points should be plotted and connected by drawing a line, curve or bars to represent the data trend.
