When using a slightly softer assumption of testing all MAF thresholds, we found that incorporating functional information from protein coding function algorithms generally improved the efficiency of the test, and added only a minor extra computational burden.
Finally, using the mentioned assumptions, the soft estimate of (13) can be derived as (16).
Perhaps more importantly, the numerous assumptions about soft tissue properties and body shape (for example, muscle sizes) in many of the models make it difficult to control for sources of error and to determine the confidence associated with a given mass estimate, although recent computational modelling advances attempt to outline maximum and minimum body mass bounds (for example, [ 54, 61, 62]).
Not surprisingly, transformationist models of adaptation usually include a tacit assumption of soft inheritance and one-step change in response to challenges.
To deal with the loss of orthogonality, we have devised an interference-aware receiver that carries out a soft detection under the assumption that the residual interference plus noise (IN) term is Gaussian-distributed.
Bearing this in mind, we propose mapping the received symbols into soft bits under the assumption that the residual interference plus noise (IN) is Gaussian-distributed. Simulation-based results show that the FBMC system is able to give the same or slightly better performance than OFDM in terms of bit error rate (BER) while the spectral efficiency significantly increases.
The assumption about the soft compactness in Theorem 6.1 is not superfluous.
Our current understanding of the likelihood of soft sweeps relies on the assumption of a Wright Fisher model with fixed population size, where Θ remains constant over time.
However, they provide no measurements to support their assumption that the soft drinks and mineral water they tested were phthalate-free when bottled.
Vlachos et al. (2009) extracted frequent triggers using a one-sense-per-term assumption, and performed soft matching (using lemmas and stems) to alleviate the problem of potential variability of trigger words.
