Sentence examples for binary impact from inspiring English sources

The phrase "binary impact" is a correct and usable part of a sentence in written English.
It is typically used to describe the effect or influence that a binary (two-part) decision or action has on a situation or outcome. Example: "The board's decision to merge the two companies had a significant binary impact on the stock market, with share prices either soaring or plummeting depending on investors' reactions."

Exact(2)

RiskScape applies an absolute binary impact function for all assets (subarieal and buried) exposed to the creation of a volcanic edifice (including "negative" edifices such as maars): if there is no exposure, there is no loss, if there is exposure there is complete loss / death.

For example, Figure 2 is produced with R and shows the histogram of the random effects of the binary IMPACT logistic random effects model.

Similar(58)

Presence/absence is crude, but is appropriate for binary impacts, and is the output of the most commonly used lahar model, LAHARZ (Schilling, 1998).

Presence/absence is very crude, but is an output of several PDC models (e.g., PFz; Widiwijayanti et al., 2009), and is appropriate for hazards with binary impacts (total damage given exposure).

For hazards that can have relatively binary impacts (Wilson et al., 2014), we allowed the option of providing hazard extent and picked a default HEMU in the case of no other available information.

Their proximity in space and consistent age estimates makes a binary-impact cause likely". Simulations suggest the asteroid that created Lockne was some 600m in diameter, while the one that carved out Malingen was about 250m.

For polygons, we have selected a default value of 50 kPa – this is lower than the highest modelled P dyn for the Auckland Volcanic Field (over 100 kPa; Brand et al., 2014), but large enough to cause near-binary impacts (Valentine , 1998.

For supernovae in close binaries, the impact of the ejecta shell can have non-negligible effects on the mass and velocity of the companion star.

We also used GLM models to analyze the relationships between distance of territory shift (response variable) and predictor variables including (1) previous-season male territory quality in terms of vegetation, (2) failure/success impact (binary variable: 0, no success; 1, success), and (3) change of arrival date between consecutive seasons.

It's grounded in the assumption that the movement of one binary option will impact another.

Furthermore the choice of cut-off point to construct the binary measure also impacts the relative efficacy estimates.

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