Sentence examples for unified variable from inspiring English sources

By combining the variables of interest, we can create a unified variable with its levels based on all possible combinations of the levels of the variables involved.

A new unified variable called as total number of specific aberrations (TNSA) was calculated from the sum of the four aberrations which were present in each tumour.

In this study, the analysis of each performance indicator was completed based on FPMR electronic data routinely collected in public hospitals and reported electronically every quarter with unified variable type and data format.

Assuming there are a total of s levels in the unified variable (referred as optimization strata in this package) with S j samples in each stratum, j = 1 … s, and assuming we have m batches with B i, i = 1… m wells available in each batch.

The isotropic, unified state variable theory based on overstress consisting of a flow law and two tensor-valued and two scalar-valued stress-like state variables is extended to finite deformation.

This is because the underlying dimension that unifies all variables in a factor is open to varied interpretation.

As part of the cross-layer unified framework, the variables involved in the optimization problem are described in Section 3. Next, Section 4 presents a unified framework for constrained channel-and queue-aware QoS guaranteed scheduling and resource allocation for heterogeneous multi-service OFDMA wireless networks.

As such, the solution unifies the complex variable method and the Green's function method, extending further to the multiferroic bimaterial plane of general anisotropy.

As the mechanical ventilator performs a mechanical work on the lung parenchyma, all the ventilator-related variables can be unified if the mechanical work is measured: at each breath energy is transmitted by the ventilator to the lungs and, if excessive, may disrupt chemical bounds and trigger inflammation [6].

These motivations are more comprehensively outlined elsewhere (e.g., [ 1, 10]) and typically include: unified inclusion criteria; consistent definitions of variables and cut-points; and consistent statistical modelling and assessment of subgroups.

Finally, to get unified models for each of the five dependent variables, all independent variables from the five main models were combined in the final logistic regression models, even if the associations were not significant in each model.