Answer:
Glycogen is the primary energy source for muscle and liver cells.
Explanation:
Glycogen is a readily mobilized storage form of glucose. It is a very large, branched polymer of glucose residues that can be broken down to yield glucose molecules when energy is needed. Most of the glucose residues in glycogen are linked by α-1,4-glycosidic bonds. Branches at about every tenth residue are created by α-1,6-glycosidic bonds.
Glycogen is not as reduced as fatty acids are and consequently not as energy rich. Why do animals store any energy as glycogen? Why not convert all excess fuel into fatty acids? Glycogen is an important fuel reserve for several reasons. The controlled breakdown of glycogen and release of glucose increase the amount of glucose that is available between meals. Hence, glycogen serves as a buffer to maintain blood-glucose levels. Glycogen's role in maintaining blood-glucose levels is especially important because glucose is virtually the only fuel used by the brain, except during prolonged starvation. Moreover, the glucose from glycogen is readily mobilized and is therefore a good source of energy for sudden, strenuous activity. Unlike fatty acids, the released glucose can provide energy in the absence of oxygen and can thus supply energy for anaerobic activity.
Answer:
L = 46.35 m
Explanation:
GIVEN DATA
\dot m = 0.25 kg/s
D = 40 mm
P_1 = 690 kPa
P_2 = 650 kPa
T_1 = 40° = 313 K
head loss equation
![[\frac{P_1}{\rho} +\alpha \frac{v_1^2}{2} +gz_1] -[\frac{P_2}{\rho} +\alpha \frac{v_2^2}{2} +gz_2] = h_l +h_m](https://tex.z-dn.net/?f=%5B%5Cfrac%7BP_1%7D%7B%5Crho%7D%20%2B%5Calpha%20%5Cfrac%7Bv_1%5E2%7D%7B2%7D%20%2Bgz_1%5D%20-%5B%5Cfrac%7BP_2%7D%7B%5Crho%7D%20%2B%5Calpha%20%5Cfrac%7Bv_2%5E2%7D%7B2%7D%20%2Bgz_2%5D%20%3D%20h_l%20%2Bh_m)
where

density is constant

head is same so,
curvature is constant so
neglecting minor losses

we know
is given as


therefore


V = 25.90 m/s

for T = 40 Degree, 

Re = 4.16*10^5 > 2300 therefore turbulent flow
for Re =4.16*10^5 , f = 0.0134
Therefore



L = 46.35 m
Answer:
I can share a link to answer since the code is to long to be contained here. the code is on github
https://github.com/arafatm/edu_coursera_machine_learning_1_foundations/blob/master/code/02.01.predicting.house.prices.ipynb
Answer:
with words giving information about the road ahead.
Explanation: