Sentence examples similar to given cut off from inspiring English sources

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Algorithms for low-pass and high-pass three-pole recursive Butterworth filters of a given cut-off frequency have been developed.

It is also observed that the pump efficiency as well as the gain per unit length increase with increase in level of inversion for a given cut-off wavelength.

Further studies are needed (1) to estimate the prevalence of sarcopenia under various health and disease-related conditions with reference to the hereby given cut-off values and (2) to find therapeutic strategies with beneficial effects in conserving skeletal muscle mass.

Therefore, cut-off grade determines new refining capacity (optimized for the given cut-off grade) and regional distribution of extractable resources, which should be included into the model as capacity is bound to a given concentration of metal in ore and global mining risk is bound to the new distribution of extractable resources.

The score on a rating scale alone is insufficient to diagnose depression to the satisfaction of the DSM or ICD, but it provides an indication of the severity of symptoms for a time period, so a person who scores above a given cut-off point can be more thoroughly evaluated for a depressive disorder diagnosis.

However, only expression values above a given cut-off are utilized for the final score.

Using these parameters the probability-based MOWSE score greater than the given cut-off value for MS/MS fragmentation data were taken as significant (p<0.05).

Here, the OS statistic [13], [15], [21] was proposed to replace the rth percentile with a sum over the outlier samples from the disease group above a given cut-off.

A first screening is done on the backbone Cα of the adjacent chains M and M+1: all pairs of amino acids (one per chain), whose Cα are separated by a distance lower than a given cut-off, fixed to "cut1 = 20 Å", are retained for the next step, the others are discarded.

The false discovery rate (FDR, % of type one errors) for peptide identifications was estimated at 0.25% for the whole dataset as: FDR = rev/(for+rev) where 'rev' are the number of hits against reversed protein sequences and 'for' are the number of hits against real protein sequences for a given cut-off criteria.

This method gives estimates of the associated false discovery rate for a given cut-off.

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