Sentence examples for imprecise scientific from inspiring English sources

By this point, though, the reader thoroughly understands — more thoroughly, perhaps, than many of the main actors in the drama — that cause and effect, blame and reparation are ancient concepts whose hard edges are, strangely, almost impossible to delineate with our sophisticated yet remarkably imprecise scientific tools.

Geotechnical earthquake engineering may generally be considered as an "imprecise" scientific area due to the unavoidable uncertainties and the simplifications adopted during the design process of geostructures.

Trigger tools were rejected on the grounds that while they are useful in quality control systems within a stable platform, they are likely to be a highly unreliable (biased and imprecise) tool for scientific measurement of the effectiveness of a HIT system.

In addition to making a paper difficult to read by the larger scientific community, imprecise phrasing or improper word use can lead to misinterpretations of the authors' intent or meaning.

This uncertainty not only reflects the range of estimates reported in the scientific literature, but also the imprecise knowledge regarding the natural history and age-related prevalence of HPV infections and cervical precancers both now and in the future.

As this is not a completely scientific method the formulas are imprecise, but they are a starting point.

Many more use deliberately vague and expansive language, language that would never pass muster in a scientific journal because it's too imprecise to be tested or falsified.

Imprecise and out-dated language which does not reflect current scientific thinking, such as "mammal-like reptile" or "reptile-to-mammal transition", also frequently creeps into the discussion.

The development of effective treatments for premenstrual syndrome has been hampered by imprecise diagnostic standards, poorly controlled trials and the promotion of therapies which lack scientific support.

In the case of floating-point operations, which are particularly important in scientific computing, the widespread but wrong belief that they are inherently imprecise has contributed by making most computational scientists accept the status quo without discussion.

As a result of time limits, financial constraints and scientific and technological obstacles, available knowledge about food processes is often vague, imprecise and incomplete.