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Discover LudwigThe phrase "sparse across" is correct and usable in written English
It can refer to something that is scattered or spread out over a certain area or region. For example, "There were only a few oases sparse across the desert."
Exact(6)
But even the hopeful will lament that generosity is sparse across a landscape haunted by its traumas and still demarcated by their legacies.
Forest cover is notoriously sparse across neotropical southeastern South America.
Real-world multichannel signals have been analyzed and shown to be sparse across subbands (spectrally), channels (spatially), and frames (temporally).
Findings on health risks associated with quantitatively assessed microbiologic factors were sparse across specific health outcomes and 53 specific types of microbial measurements.
To relax the high memory burden from NGS data of base-pair resolution, we attempt to use run-length encoding (RLE) for the storage and handling of sequencing count data, since the feature distribution is normally sparse across the genome.
For chromosome 18 (figure 5), the general block calling from the four gamete rule (5a) and Gabriel et al. (5b) is sparse across datasets, indicating that for this particular simulated chromosome, sampling variability between datasets reduces the ability to find blocks consistently.
Similar(53)
Knowledge of particulate matter concentrations <2.5 μm in diameter (PM2.5) across the United States is limited due to sparse monitoring across space and time.
Sparse standardization across product characterization, hardware components and software platforms is perceived to complicate efforts to implement automation.
The proposed methods exploit the joint sparse structure across all frequency bins, and estimate the spatial pseudo-spectra at various frequency bins jointly and iteratively.
We expect each column of Q to exhibit sparse nature across the rows, indicating the expectation that there are small number of moving pixels in the scene.
In this equation, the P matrix captures group sparsity by jointly selecting sparse features across tasks while the Q matrix captures jointly selected sparse samples thus capturing outlier tasks.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com