The phrase "a wider aggregation" is correct and usable in written English.
It can be used when discussing the collection or grouping of data, information, or entities that encompasses a broader scope or range.
Example: "The study aims to analyze a wider aggregation of data from various sources to draw more comprehensive conclusions."
Alternatives: "a broader collection" or "a larger grouping".
Concomitant with these clinical signs, GAN has been shown to induce a wide aggregation of the cytoskeletal IF network both in and out-side the nervous system, and severely affected patients F23, F24, F26, F28 and F30 all exhibit altered keratins (kinky hair) and aggregating NFs in enlarged axons (Table 1).
On a more practical level, the application of operators defined in belief merging to judgment aggregation problems lead to the definition of a wider class of aggregation operators for judgment aggregation, the so-called distance-based procedures.
At the Network Layer, well known approaches to aggregation include the Shortest Path Tree (SPT), wherein a single, network-wide aggregation tree is centrally calculated and configured and the Greedy Incremental Tree (GIT) which approximates a shortest path tree, but is constructed in an incremental and decentralised fashion [25].
Some relationships can be masked when using wider aggregations such as monthly data (Eisenberg 2004).
Also the forecasting process matters when uncertainty is additive: in particular, when union-wide forecasting is more accurate than national-based forecasting, this advantage can compensate for the welfare loss from using union-wide aggregation.
Sharp absorbance peaks are exhibited by small and uniform sized nanoparticles, whereas broad absorbance peaks imply a wider size distribution or aggregation of nanoparticles [33].
Most decentralized aggregation systems have the following features: Function-dependence: Distributed applications may require the computation of a wide range of aggregation functions.
Function-dependence: Distributed applications may require the computation of a wide range of aggregation functions.
Diffusion methodologies cannot be applied to a wide range of aggregation functions and are usually interaction-dependent.
A wide range of aggregation functions can be accurately computed as the middle level guarantees that aggregator samples are classified as unexploited or outdated.
