Many numerical and experimental examples that demonstrate the effectiveness of the proposed approach are presented.
Indeed, the use of ancillary photons to mediate gates has been demonstrated in many experimental setups, for example with atomic [37, 38] or spin [13, 14] qubits.
For example, many experimental data support the presence of c-MYC MAX heterodimer, and the inc-MYC MAX theterodimerland a fundamenthe role increaseating cell cycle enthisandimerliferation [ 72].
The paper provides several simulated examples, a small empirical example to demonstrate proof of concept, and a larger empirical example based on many experimental conditions and large samples that demonstrates that the individual models capture virtually all the variance in aggregate first choices traditionally modeled in discrete choice experiments.
For example, there are many experimental conditions and genetic perturbations that will impact the growth rate of the cell.
Many experimental arthritis models have been described, for example, in mice, rats, rabbits and monkeys [ 35– 35].
The application to some examples reveals the accordance with many experimental observations found in the literature.
Unfortunately, many experimental settings seek to prevent physical activity because the investigators view it as source of error, for example, while observing neuronal responses.
Indeed, we know from many examples of experimental tinkering of the pathway that changes in activity translate into phenotypic changes in terms of number, size and shape of ectodermal appendages (e.g. in hair [ 33] and teeth [ 34]), some highly resembling natural species variation [ 35, 36].
There are also many reported examples of natural and experimental bacterial populations with higher than standard mutation rates [22] [26], showing that there are multiple situations in Nature in which being a mutator confers a selective advantage.
