Sentence examples for inputs and subsequently from inspiring English sources

We first present this method for Legendre-chaos corresponding to uniform random inputs, and subsequently we generalize it to other random inputs.

Continued health depends on the system's ability to mount an appropriate response to such inputs and, subsequently, to return toward a state of normality regardless of what regions of the energy landscape its state had to visit in the meantime.

This method was implemented in MATLAB, and takes 3D data (e.g. obtained from confocal microscopy) as input and subsequently determines an effective radius and the shape of each deposited feature.

The Molgen program is a molecular isomer generator which requires a molecular formula as input and subsequently counts or generates all possible structural isomers [21].

The client system sends a request to the Application Server to run a specific program (such as BLAST); the Application Server then runs the program using the client's input and subsequently passes the output of the program back to the client machine, where it is displayed to the user in the GUI.

Trials are conducted with alloy steel tubes (48 mm diameter and 6 mm thickness) by varying the various input parameters and subsequently recording the observations.

We tested the sensitivity of the method to errors in the input parameters, and subsequently applied the method to estimate the amplitude-distance constant from clinically-measured threshold amplitudes.

This delay may be due to the necessity of integrating novel input into and subsequently updating an erroneous model, given the fact that I have come to associate a set of visual features (how my coworker is dressed) with that person.

Here, I consider split-based supertree methods that first extract the split information of the input trees and subsequently combine this split information into a phylogeny.

To compare all the cancer samples with the healthy ones, Seidel et al. [ 13] used four input neurons and subsequently achieved a specificity of 85.4% and a sensitivity of 97%.

As an overview, clusDCA first computes the 'diffusion state' of each node by performing a RWR on each input network, and subsequently finds a low-dimensional vector representation for each gene via an efficient matrix factorization of the diffusion states.