Sentence examples for temporal dispersion from inspiring English sources

"temporal dispersion" is a correct and usable phrase in written English.
It refers to the spreading out or scattering of events or actions over time. Some examples of how it can be used in a sentence are: - "The temporal dispersion of the epidemic made it difficult for health officials to track and contain." - "The company's financial reports suggest a high level of temporal dispersion in their sales patterns." - "Through the use of technology, we were able to reduce the temporal dispersion of our project timeline." - "The history of the country is marked by periods of significant temporal dispersion, with moments of rapid progress followed by long periods of stagnation."

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With regard to the temporal dispersion of cultivated pollen, we found that the normal dispersal kernel provided fits similar to the exponential power kernel and better than the exponential kernel (Table 1).

Hair, T. Temporal dispersion of the emergence of intelligence: an inter-arrival time analysis.

Most optimized finite-difference schemes for modeling seismic-wave propagation suppress only spatial but not temporal dispersion errors.

The natural vegetation was generally characterized as with lower temporal dispersion and greater temporal continuity compared with agricultural crops.

Several indices of temporal dispersion and continuity were established for this purpose: low density (LD), medium density (MD), high density (HD) and medium continuity (MC).

However, the temporal dispersion of BOLD fMRI activity resulted in responses to successive stimuli adding together, making it difficult to perform rapid event-related paradigms using fMRI.

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Third, the spatio-temporal dispersion of infochemicals is hard to model: Modeling turbulent dispersal on a length scale of 10 m is notoriously difficult.

For instance, the spatio-temporal dispersion defined in (Sampson and Guttorp 1992) as: D_{ij} = d_{ij}^{2} = text{var}left[z(s_{i},t) - z(s_{j},t right], quad tin 1cdots T (5).

The aim of this empirical paper is to identify patterns of cross-sectional and temporal price dispersion, and to assess the role played by search costs and chain differentiation in that dispersion.

Regressors representing the different conditions were constructed by convolving delta functions with peaks at the onsets of the first grating pair in each trial with a canonical haemodynamic response function (HRF) and its temporal and dispersion derivatives21,22.

For both moral judgment and empathy localizer tasks, the design matrices for fixed-effects General Linear Model were constructed by convolving a canonical hemodynamic response function (HRF) with the stimulus function for events (boxcar function) to create regressors of interest along with its temporal and dispersion derivatives.

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