The camel back marvel of multiscale DNA learning for female and male

The camel-back-like pubertal growth rate spurts of 11–12 years of age for female and 13–14 years of age for male have motivated this research connected with DNA learning and memory in relation to neurobiology. Four primary variables (ℓ,v,M,W) are used to model the size (height), velocity (growth rate), mass density (weight or body mass index), and energy density (macro-molecules or smaller). They can be segmented at the pico, nano, micro and macro scales to mimic the different parts of the organ and cell structures via the laws of scale shifting. Aside from the weighted function determined previously from height age data, three additional weighted functions α(t), β(t) and γ(t) are derived from the respective transitional functions for the growth rate, body mass index and the energy density function found from Ideomechanics (IDM). The available test data for female and male of the 5–19 years of age were used to determine the sustainable reliability properties of the transitional functions. Definite trends of the camel back behavior are established even though much more elaborate considerations are needed.The preliminary results provide a framework under which redundancy can be tested from the existing physiological age data that are interpreted on the basis of least variance principle. In the same vein, spatial–temporal data of the neurons can also be used and related to those of learning and memory. Segmentation and multiscaling are essential to this work.