The right answer is polarity.
In chemistry, polarity is a characteristic describing the distribution of negative and positive charges in a dipole. The polarity of a bond or a molecule is due to the difference in electronegativity between the chemical elements that compose it, the differences in charge that it induces, and to their distribution in space. The more the charges are distributed asymmetrically, the more a bond or molecule will be polar, and conversely, if the charges are distributed in a completely symmetrical manner, it will be apolar, that is to say non-polar.
Polarity and its consequences (van der Waals forces, hydrogen bonding) affect a number of physical characteristics (surface tension, melting point, boiling point, solubility) or chemical (reactivity).
Many very common molecules are polar, such as sucrose, a common form of sugar. The sugars, in general, have many oxygen-hydrogen bonds (hydroxyl group -OH) and are generally very polar. Water is another example of a polar molecule, which allows polar molecules to be generally soluble in water. Two polar substances are very soluble between them as well as between two apolar molecules thanks to Van der Waals interactions.
C) Density of the animal population Animal population is the only biotic or living factor. Grazing by herbivores, like sea turtles, will affect seagrass populations. Too many herbivores, not enough segrass.
Answer:
recombination occurs during meiosis in homologous chromosomes
Bacteria Growth Rate Formula:
N(t) = N(0) * ( 1 + r)^t
where, N(0) is the number of bacteria present at the beginning of the experiment, r is the growth rate, t is the time taken/ elapsed.
Substituting the numbers for N(t), N(0) and t from the given description, we get the value of r.
220 = 20*(1+r)^(24 hours)
Solving for r, we get r = 0.105074.
1 week has (7 x 24 = 168) hours in it.
Therefore, N(168 hours) = 20*(1+0.105074)^168
Which is approximately 390 millions.
Hence there will be 390 millions bacteria at the end of 1 week.
Answer:
Scientists look into Earth's past to predict future effects of climate change or the very distant past, as well as those who study the present, to help make predictions about what the future holds for life on Earth as climate shifts.
Explanation: