Sentence examples for probability of enabling from inspiring English sources

As a consequence, the probability of enabling electron spins to cross-polarize proton spins using microwave irradiation is very low, increasing the probability of polarization transfer to C spins and thereby producing larger maximal C polarization.

It is increasingly common for authors of MTC to augment their results based on estimates of risk to the use of probabilities, enabling the ranking of treatments for a particular outcome.

Large prey size is likely key to the operation of this model: it (a) confers an increased probability of escape, (b) enables prey to be more tolerant of injury, enabling bacterial sepsis to develop and (c) imposes consumption limits on an individual lizard, so that multiple lizards feed concurrently or sequentially; an infected, large prey can potentially infect over a dozen lizards (see below).

But by clicking away, the laws of probability enable novices to wind up with some decent shots.

Additionally, proteins with very similar binding site in available crystal structures can still adapt other conformations of high probability which enable the design of selective ligands.

The specification of a full probability model enables evaluation of the probability that a resident with certain characteristics is hospitalized and the expected number of hospitalizations within a given time.

The mathematical models of probability theory enable us to make predictions about certain mass phenomena from the necessarily incomplete information derived from sampling techniques.

The SVM-based explicit construction of limit state functions allows for an easy calculation of a probability of failure and enables the association of a specific system behavior with a region of the design space.

It will be shown in Section 5 that the total probability of error criterion enables the cognitive system to utilize free spectrum more efficiently than the NP criterion, for certain SNR values considered in simulations.

HapMap and neutral expectations were weighted by the probability of detection to enable fair comparisons with disease-associated alleles.

A method based on multicanonical Monte Carlo is introduced to quantify the behavior of this probability, which enables us to calculate extreme tails of the distribution.