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The phrase "a more general performance" is correct and usable in written English.
It can be used when discussing a broader or less specific evaluation of performance in various contexts, such as academics, sports, or workplace assessments.
Example: "The study aims to assess a more general performance of the students across different subjects rather than focusing on individual scores."
Alternatives: "a broader performance" or "a more comprehensive performance".
Exact(2)
The performance index in (6) is an extended index, which gives a more general performance by setting the weighting matrices (Psi _{i}) ((i=1,2,3,4)).
In such cases, it is not possible to dissociate a mnemonic phenotype from a more general performance deficit.
Similar(58)
In order to separate drug effects on the OST from more general performance impairment, a simple olfactory discrimination was also assessed in each session.
Very few solutions have been proposed for robust linear precoder design for more general performance criteria.
These matrices enabled the translation of the more general performance objectives into very specific intervention goals.
Further algorithm comparison is required with respect to different outbreak data, diseases and spatial contexts before more general performance descriptions can be made.
Of the major computational models of reading (e.g., Plaut et al. 1996; Coltheart et al. 2001; Harm and Seidenberg 2004; Perry et al. 2007), we are aware of none that attempt to disentangle reading-specific effects from more general performance effects.
Alternatively, we present here the results of a more general and performance oriented approach which should work well on many forms of input data where generational polymorphism occurs.
Additional key properties such as reservoir porosity, net formation thickness and skin factor are included in this work to develop a more general dimensionless Inflow Performance Relationship (IPR).
The present part deals specifically with the influence of elastomer preparation on the performance of this sensor, and in a more general way, with the performance of any distributed optical sensor based on optical fiber bending by a swelled elastomer.
This paper introduces Generalizable Surrogate Models (GSMs) that use a set of feature descriptors of physical structures to aggregate analysis data from various structures, enabling a more general model that predicts performance for a variety of geometric class, topology and boundary conditions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com