Sentence examples for important inferences from inspiring English sources

With the improved resolution, we have observed structural features that could not be seen previously and have confirmed many important inferences that were based on the 2.6 Å structure, particularly the importance of three unusual nonpolar−polar interactions in the pol active site and the role of the newly observed hydration network in the incorporation of correct dNMPs.

Important inferences were made by exploring results from the various types of phenotypes used in this study.

The results of this study provide important inferences about the performance of the solar-based integrated system and the reverse osmosis desalination system.

Based on these results, important inferences may be made to the design of mechanical heart valves with regards to cavitation inception.

The resulting modified, propositions are shown to apply to a broad range of bistable perceptual phenomena, not just binocular rivalry, and they allow important inferences about the underlying neural systems.

Analysis of the entire data set of luminescence ages for the SW Kalahari brings out important inferences that suggest that different aeolian forms (1) have been active over different time scales in the past, (2) have different sensitivities to environmental changes and (3) have different time scales over which they record and preserve the palaeoenvironmental record.

It shows that including such restrictions in the description language leaves the important inference problems such as instance testing decidable.

This paper presents a comparison of the two important inference schemes: "individual-rule-based inference" and "compositional rule of inference" as applied to fuzzy logic control, through experimental investigation.

This is an important inference as it enables the reduction of fixed and operating costs while at the same time helps to achieve high purity and yield of the desired product and conversion of the limiting reactant.

Another important inference that can be drawn from Figure 14 is that the success rate is almost constant with increasing number of nodes in the network, for any latency or node degree.

These observations by diverse authors who have investigated uncertainties, different kinds of noise sources, and other irregular perturbations result in the following important inference: Under the real‐world operating conditions, and when noise statistics and initial error statistics are not known exactly, the OUFIR estimator is able to outperform the Kalman filter even if N opt is not large.