Our data demonstrate that, as in humans [21], the evolution of long bacterial protein sequences has been constrained to reduce their aggregation propensity, suggesting a general rule that applies independently of the organism complexity.
In the delivery of video services like video on-demand, IP-TV, sport broadcasting, as well as real-time streaming, the end-user expectation is to receive the best feasible quality independently of the particular video complexity, even in the presence of packet losses.
We first screened records by title and abstract (one person to include, two people to exclude a record) and then in two rounds for the full reports (two reviewers, independently) owing to the complexity of assessing screening criteria and using a team of reviewers.
We observe that the maximum sensitivity is achieved for k in the range 19 22 for all metagenomic datasets, independently of the reads length or complexity.
The synergy between the inactivation of either PIF1 or ABF2 and the inactivation of NTG1 suggests that Pif1 and Abf2 are important for rho+ maintenance independently of the Ntg1-mediated pathway, underscoring the complexity of mtDNA transactions in yeast cells.
In 2005, two types of reimbursement were introduced into the German hospital reimbursement system: Besides DRG-based reimbursement and independently of clinical complexity, certain drugs that cannot be allocated to a single DRG but typically used in a tertiary care hospital setting are covered by the system.
The proposed modelling approach results in three motor models of increasing complexity independently of the low-level piezoelectric properties of the driving elements.
We display extensive numerical evidence that indicates that, for any given polynomial degree, the method achieves its goal with optimal complexity independently of the tolerance.
Assuming that the maximum number of iterations is fixed independently of the problem parameters, the computational complexity of the feasible point search is O N K M ) for the subcarrier reassignment and O N D+K)) for the power allocation.
This new formulation uses margin-based loss functions to control model complexity independently of the dimensionality of the input space, and kernel functions to project the estimation problem to a higher dimensional space, which enables the solution of more complex nonlinear problem optimization methods to exist for a globally optimal solution.
