Sentence examples for highest degree of adaptation from inspiring English sources
Interestingly, the population that performs worst for any value of μ2 is that with the lowest value of μ1 (Table 1), which permitted the highest degree of adaptation to S1.
After a limited number of generations, under a new selective pressure, the highest degree of adaptation reached by these populations takes place when they increase the mutation rate to values of 0.01 or 0.02 (Fig. 3 and Table 3).
This population reached the highest degree of adaptation at the stationary state (see Table 1) and resembles specialist organisms that perform optimally under a narrow range of very well established conditions, but have difficulties to adapt when these conditions are modified [51].
Through combining an adaptive binary arithmetic coding technique with context modeling of the neighboring symbols in binary bit stream and macro block, a high degree of adaptation and redundancy reduction is achieved.
Populations optimized at low mutation rates present a high degree of adaptation and a low phenotypic diversity (see Table 1).
In our simulations, populations able to attain a high degree of adaptation to a new selective pressure in a short time were those previously optimized at moderate (0.002) to high (0.05) values of μ1 (Fig. 3 and Table 3).
Other neurons had CSI>0.6 at SOAs of 2000 ms. For the smallest Δf (0.04) some neurons had CSI>0.6 as well (for SOA = 250 ms and 500 ms, respectively; Fig. 5). Figure 6 shows an example of a neuron that had a reduced, but still high degree of adaptation with Δf = 0.04 (SOA = 250 ms, CSI = 0.58).
Although the amount of SSA was reduced for the largest SOA (2000 ms) and the smallest Δf (0.04), we recorded neurons that exhibited robust SSA under each of these conditions (Fig. 5). Figure 4 shows the responses of a neuron that had a reduced, but still high degree of adaptation at an SOA of 2000 ms (fourth row: Δf = 0.10, CSI = 0.40; compared to CSI>0.9 for shorter SOAs).
