Sentence examples for individuals in parallel from inspiring English sources

Genetic algorithms search a population of individuals in parallel; therefore they have the ability to avoid locally optimal solutions.

Operant (instrumental) conditioning requires that a system not only be able to track multiple individuals in parallel but must also give immediate individual feedback to each organism based on behavior.

It is therefore a high priority to provide necessary healthcare and treatment for co-infected individuals in parallel to the roll-out of MMT in China.

Although high specificity is often obtained in single sample capture experiments, this approach is simply not cost-effective for population-level sampling [ 22] and the low overall specificity is more than compensated for by the ability to capture many individuals in parallel.

To analyze the disease-specificity of antibodies to these citrullinated FN peptides, sera from 31 multiple sclerosis (MS), 32 type 1 diabetes (T1D), 31 primary Sjőgren's syndrome (pSS), 31 systemic lupus erythematosus (SLE) and 29 tuberculosis (TB) patients, and from 32 healthy individuals, in parallel with 75 established RA sera, were analyzed by ELISA.

There is very little difference in performance between quality POCT devices (see http://www.who.int/diagnostics_laboratory/publications/evaluations/en/index.html for further information) and consequently the substantial additional costs of testing every individual in parallel by two devices are not counter-balanced by any worthwhile gain in sensitivity.

Another potential source of finance could be found in the property and physical capital owned by Northerners in the South, and the debts owed by individuals in a parallel manner.

After learning all these individual problems in parallel with Skeletonization algorithm, we then integrate these results to final decision.

Since a SWCNT bundle consists of several individual SWCNT in parallel, the formulas of the resistance, inductance, and capacitance of a SWCNT bundle have been listed in previous papers [12].

To speed up the process of performing a large statistical simulation study, it is natural and common to divide the large-scale simulation task into several relatively independent sub-tasks in a way that these sub-tasks can be handled by individual processors in parallel.

We identify growth defining (temperature, daylength, animal genetic characteristics), limiting (water and feed quantity and quality) and reducing (diseases, pollutants and other conditions leading to sub-optimal wellbeing) factors, determining the production of an individual animal, in parallel to their definition for crop production, and aggregate this production to herd scale.