Sentence examples similar to shift interruptions from inspiring English sources

Using daily and hourly weather data, the created models will predict the number of daily or by-shift interruptions.

However, models that use the combined effects of common weather conditions to predict the total number of daily or by-shift interruptions are presently unavailable.

Although the majority of predicted L1 elements contain both ORF1 and ORF2, all but one of them carry mutations and frame-shift interruptions or in-frame stop codons.

But so far, Libya has been the only major oil producer to suffer a market-shifting interruption of exports, and the emergence of a new government, indebted to some extent to NATO countries for their military support, could eventually turn its production into a long-term oil supply gain.

9 This change is mainly driven by managers' perceptions of improved efficiency from reducing the number of nurse shifts a day, therefore resulting in fewer handovers between shifts, less interruptions to clinical care provision and increased productivity due to a reduction in the overlap between two shifts.

"Well, I do see a sort of line running through, with shifts and interruptions," he said.

The general phenomenon of interruption has been well described in the literature 17 18 as the cognitive shifts accompanying interruptions are potential causative agents for medical error.

Trump lost altitude quickly after the first half hour, shifting from pointed interruptions to a more incoherent, sloppy pattern of interruption.

Incorporating relevant, existing models, this study will develop novel theoretical models of the effects of common weather conditions and apply them to the problem of predicting the daily or by-shift number of interruptions in power distribution systems, and to the development of real-time interruption risk assessment capabilities.

One could therefore explain this shift by an interruption of the developing P300 by the potentials evoked by the presentation of the next stimulus.

Their model showed that a system can over-accumulate interruptions and shift from a resilient, self-regulating regime to a fragile and self-escalating regime that amplifies the impact of the interruptions, including risks to safety.