They have to eat
They have to hydrate
They have to evolve
They have to adapt
They have to mate
Answer:
Their future children can have blood group AB, O, A or B
Explanation:
since the husband had blood group= Heterogeneous A means AO
and,
the wife's blood group= Heterogeneous B or BO
- so by crossing between them, we get this result.
Answer:
Please look at the explanation section.
Explanation:
1) To calculate the yield of a protein in the purification step, the amount of protein produced must be divided by the amount of protein produced in the first step. The expression is as follows:
%protein yield = (Amount of protein/Amount of protein produced in the first step) * 100
If you have the purity percentage and the amount of protein produced, this formula could be used:
%protein yield = (Protein amount * Purity Percentage)/100
2) If this process begins with a cell culture and ends with the purification of Ni+2NTA. One method of increasing performance is to decrease the number of steps in the purification process. Because unfortunately, at each step of the purification of a protein leads to the loss of them.
Answer;
The growth plate.
<span> It is the part of a bone such as the femur enables the bone to get longer
</span>
Explanation;
The growth plate is also known as the epiphyseal plate or physis.
It is the area of growing tissue near the end of the long bones such as the bones of the arm and legs, in children and adolescents.
It determines the future length and shape of the mature bone.
Each long bones has at least two growth plates, one at each end.
The regression equation is:
y = 1.15 – 0.251 x₁ + 0.078 x₂ + 0.306 x₁x₂
<span>
<span>
<span>
Where,
x₁ = -0.2508
x₂ = 0.0777
x₁x₂ = 0.3058
Inserting the values,
<span>
<span>
</span></span>y = 1.15 – {0.251 × (-0.2508)} + {0.078 ×(0.0777)} + {0.306 × (0.3058)}
</span></span></span>
y = 1.15 - (- 0.0629508) + 0.0060606 + 0.935748
y = 1.15 + 0.0629508 + 0.0060606 + 0.935748
y = 1.3125862
Answer:
x₁ and x₂ are main effects (a type of tuna and type of packing liquid) that contribute significant information for the prediction of <span>y.</span>
