The phrase "amenable to processing" is correct and usable in written English.
It can be used in contexts where you want to indicate that something is open to or suitable for being processed, such as data or information.
Example: "The data collected from the survey is amenable to processing, allowing us to analyze the results effectively."
Alternatives: "suitable for processing" or "open to processing".
In the present study, epigallocatechin gallate (EGCG) was evaluated as a potential lignin bioengineering target for rendering biomass more amenable to processing for biofuel production.
TRiC's interaction with mhtt aggregates might render them more amenable to processing by cellular pathways of quality control, such as autophagy and proteolytic degradation by the proteasome (Sarkar et al., 2009).
These findings support the notion that plants could be genetically engineered to make use of precursors from alternate phenolic pathways to form lignins that are more amenable to processing [ 20, 22- 30].
An additional advantage of the thermochemical approach stems from the fact that it is amenable to processing of a broad and diverse range of microalgal and fungal strains, even ones with tough cell walls, which could substantially expand the feedstock supply.
(2) The proposed SDRCLCE method fully operates in spatial domain, and the process is amenable to parallel processing.
Our proposed method, named iTriplet, avoids costly enumeration present in existing combinatorial methods and is amenable to parallel processing.
The 2012 WHO VA instrument comprises a short CoD list aligned to the International Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) that is ascertainable from a limited number of indicators and amenable to automated processing.
Moreover, the proposed method is amenable to parallel processing, which improves the processing speed of SDRCLCE method to satisfy the requirement of real-time applications.
Moreover, the proposed method is amenable to parallel processing implementation that allows us to improve the processing speed of SDRCLCE algorithm.
Since, as previously mentioned, all the logical processes we have described are amenable to computer processing, it will be possible to automate the demonstration of theorems with the aid of suitable software programmed to work with Zsyntax.
This work addresses the issue of finding the programming procedure that results to the fastest implementation of the core calculations of the model predictive control (MPC) algorithms that are amenable to parallel processing on a real-time multiprocessing system.
