Sentence examples for capacities for detecting from inspiring English sources

Medisoft device has an absorption column with high capacities for detecting and eliminating ambient NO.

A major goal of IDSR is to strengthen district-level surveillance capacities for detecting, confirming and responding to priority diseases that afflict African communities.

The IHR (2005) are especially clear in calling for strengthening core capacities for detecting and confirming public health threats, especially those with potential to extend beyond national borders [ 6].

Furthermore, the designed immunosensor with excellent selectivity, reproducibility and stability shows excellent performance in detection of human serum samples and provides a promising capacity for detecting a wide range of other tumor markers in clinical application.

Moreover, strain/stress information generally shows powerful capacity for detecting the local structural property variations.

In the first six months of infancy, two main signatures of human cognition interact: our species' capacity for detecting and remembering patterns, and our interest in communicating with others.

As a passive system with a natural adaptation capacity to the environment, mimicking the human capacity for detecting hazards, vision-navigation has been the subject of a sustained research effort for more than ten years.

As a passive light-weight system with a natural adaptation capacity to the environment, mimicking the human capacity for detecting hazards, vision-based navigation for space applications has been the subject of a sustained research effort in Europe for more than ten years.

Although continuity between waking life and dreaming has been demonstrated, i.e., interindividual differences in the amount of time spent with specific waking-life activities are reflected in dream content, methodological issues (averaging over a two-week period, small number of dreams) have limited the capacity for detecting substantial relationships in all areas.

The goal of the current study is to measure the capacity for detecting events in a sustained-monitoring task.

But the company has been working on natural language technology that will help to increase its capacity for detecting the bad content, allowing it to move beyond a sole reliance on human moderators.