A 1 mm³ of blood contains 4 - 6 million of erythrocytes or red blood cells, 5 - 10 thousand leukocytes or white blood cells, and 150 - 400 thousand of platelets. Using the lower approximates of the cells to total number of cells will be 4.155 million cells in 1 cubic mm.
Percentage of red blood cells will be 4/ 4.155 = 96.27 %
Percentage of white blood cells =0.005/4.155 = 0.12 %
Percentage of the platelets = 0.15/4.155 = 3.61%
Plants transpire more rapidly in the light than in the dark. This is largely because light stimulates the opening of the stomata (mechanism). Light also speeds up transpiration by warming the leaf. Plants transpire more rapidly at higher temperatures because water evaporates more rapidly. As the temperature increases, transpiration will increase due to a higher concentration in sunlight and warm air. However, if temperatures remain high for long periods of time eventually leading to drought, transpiration may go down to conserve water in the plant.
Hi There! :)
<span>Every atom of the blank carbon has 6 protons
</span><span>element</span>
The answer would be D.
For example the structure of stomata are very different from other epidermal cells which is an indication of a different function. Or cells that have chloroplasts compared to one’s that don’t(have other compartments such as amyloplasts).
Answer:
Previous research has quantified differences in head and spinal kinematics between children and adults restrained in an automotive-like configuration subjected to low speed dynamic loading. The forces and moments that the cervical spine imposes on the head contribute directly to these age-based kinematic variations. To provide further explanation of the kinematic results, this study compared the upper neck kinetics - including the relative contribution of shear and tension as well as flexion moment - between children (n=20, 6-14 yr) and adults (n=10, 18-30 yr) during low-speed (<4 g, 2.5 m/s) frontal sled tests. The subjects were restrained by a lap and shoulder belt and photo-reflective targets were attached to skeletal landmarks on the head, spine, shoulders, sternum, and legs. A 3D infrared tracking system quantified the position of the targets. Shear force (F(x)), axial force (F(z)), bending moment (M(y)), and head angular acceleration (θ(head)) were computed using inverse dynamics. The method was validated against ATD measured loads. Peak F(z) and θ(head) significantly decreased with increasing age while M(y) significantly increased with increasing age. F(x) significantly increased with age when age was considered as a univariate variable; however when variations in head-to-neck girth ratio and change in velocity were accounted for, this difference as a function of age was not significant. These results provide insight into the relationship between age-based differences in head kinematics and the kinetics of the cervical spine. Such information is valuable for pediatric cervical spine models and when scaling adult-based upper cervical spine tolerance and injury metrics to children.
