Sentence examples for wide aggregation from inspiring English sources

Exact(1)

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).

Similar(59)

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.

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].

While companies like Yelp and Google have yet to add time-based activity searches on to their platforms, others like like Yplan are also trying to tackle this problem, albeit less on a wider aggregation front and more on giving users far less ability to make choices, instead serving them going-out options of a couple of select events taking place on that very day.

Some relationships can be masked when using wider aggregations such as monthly data (Eisenberg 2004).

Application dependent approaches [6 8] support the creation of optimal network-wide data aggregation structures, but restrict the topology of the distributed application.

Notably, during purification, little to no RTX protein was found in the column void (>650 kDa), suggesting wide-scale aggregation was not associated with these altered hydrodynamic properties under purification conditions.

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can be accurately computed as the middle level guarantees that aggregator samples are classified as unexploited or outdated.

Moreover, these methods should be applicable for the detection of soluble oligomers of a wide variety of aggregation prone proteins.

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