Answer:
Option D, It is highly efficient, as oxygen-rich air enters the lungs even while a bird is exhaling
Explanation:
In the respiratory system of birds, air flows only in one direction due to which a bird is capable to take in oxygen even when it is exhaling. The air sacs allow only unidirectional flow of air, which is more fresh and contains high oxygen content. Even a bird’s lung are capable to store and pump air, when they are at stationary position.
Hence, option D is correct.
Answer:
Gravitational energy
Explanation:
An object's height above the ground (Earth) gives it gravitational energy.
The is "a" cell division..
Your answer is
C. Climate maps use years of data collected over time.
To explain this answer, we can simply explain why the other statements are false. Keep in mind the difference between climate and weather:
Weather = day to day conditions within any given area
Climate = an "average" of these daily weather conditions over long periods of time
With that in mind, go over the answer choices:
A. Climate maps change everyday
We said that climate is an average of weather conditions over long periods of time, therefore they cannot change on a day to day basis.
B. Weather maps cover long periods of time.
Weather maps, based on the definition of weather itself, are day to day occurances, and can change often. For example, it can rain one day, but be completely sunny the next. It is difficult to predict weather far in advance. There, it cannot cover long periods of time.
C. Climate maps use years of data collect over time
This is true. Climate is an average of weather patterns over long periods of time.
D. Weather maps do not contain daily temperature ranges
Actually, they do. Again, weather is on a day to day basis, so therefore, they must contain daily temperature ranges.
HOPE THAT HELPS :)
Answer:
In python:
def dna_count(dna):
A = dna.count('A'); C = dna.count('C')
G = dna.count('G'); T = dna.count('T')
dna_countlist = []
dna_countlist.append(A) dna_countlist.append(C)
dna_countlist.append(G) dna_countlist.append(T)
return dna_countlist
dna = input("DNA: ")
print(dna_count(dna))
Explanation:
This defines the function
def dna_count(dna):
This counts the occurrence of A and C
A = dna.count('A'); C = dna.count('C')
This counts the occurrence of G and T
G = dna.count('G'); T = dna.count('T')
This creates an empty list
dna_countlist = []
This appends the occurrence of A and C to the empty list
dna_countlist.append(A) dna_countlist.append(C)
This appends the occurrence of G and T to the list
dna_countlist.append(G) dna_countlist.append(T)
This returns the list
return dna_countlist
The main begins here
This prompts the user for the DNA string
dna = input("DNA: ")
This calls the dna_count function and also prints the returned list
print(dna_count(dna))