Sentence examples for dependence problem from inspiring English sources

We solve the pattern dependence problem for intellectual property (IP) designs.

One recent study by Dalack et al. (1999) tried to address this time dependence problem, utilizing a paradigm in which schizophrenic patients were withdrawn from cigarette smoking and given substitute administration of active vs. placebo nicotine patch.

It should be also noted that particular attention is given to reduce the size of the system matrix whose determinant equation yields eigenvalues, and to overcome the functional dependence problem of the non-dimensional dynamic influence functions.

In particular, the data analysis approach recently proposed by the authors was used to test whether non-random partitioning solvents could be one of the causes for the solvent dependence problem commonly observed in IGC measurements.

Current results reinforced our previous claim that the solvent dependence problem is mainly attributed to the use of the molar volumes of the solvents used in the experiment concurrently for the calculations of the solvent stationary phase interaction parameters and not to the use of non-zero Δχ (Δχ=χ12−χ13) (i.e. non-random partitioning) solvents.

The border effect and dependence problem are also taken into consideration.

A screening for mental health concerns, substance dependence problems and torture and trauma history occurred 71% of the time.

It is shown that high sensitivity dependence problems cannot be removed by making changes in the analyzed design parameters.

Earlier studies showed the amelioration of approximate linear dependence problems, while such a basis set also holds various physical and analytical advantages.

Serotonin selective reuptake inhibitors offer benefits of ease of dosing, good tolerability, and no safety or dependence problems; TCAs are often poorly tolerated, and benzodiazepines are associated with dependence problems.

There are several possible solutions to dependence problems, including intra-study averages, hierarchical/multi-level models, and cluster robust standard errors [12].