Spatial statistical analysis of massive amounts of spatial data can be challenging because
computation of optimal procedures can break down. The Spatial Random Effects (SRE) model …

Metabolomics is the comprehensive study of small molecule metabolites in biological systems.
By assaying and analyzing thousands of metabolites in biological samples, it provides a …

Protein kinase C (PKC) isozymes have remained elusive cancer targets despite the unambiguous
tumor promoting function of their potent ligands, phorbol esters, and the prevalence of …

Datasets from remote-sensing platforms and sensor networks are often spatial, temporal,
and very large. Processing massive amounts of data to provide current estimates of the (hidden…

With the development of new remote sensing technology, large or even massive spatial
datasets covering the globe become available. Statistical analysis of such data is challenging. …

The National Aeronautics and Space Administration (NASA) has a remote‐sensing program
with a large array of satellites whose mission is earth‐system science. To carry out this …

10.7554/eLife.36307.001 Allostery is an inherent feature of proteins, but it remains challenging
to reveal the mechanisms by which allosteric signals propagate. A clearer understanding …

The aim of this study was to assess elementary teachers’ pedagogical content knowledge (PCK)
of and confidence in their ability to support students in enacting the science and …

New York State adopted regulations that mandate collaboration among ESOL and content
teachers in integrated periods where ELLs are mainstreamed into general education classes. …

Seasonal snow cover and its melt dominate regional climate and hydrology in many
mountainous regions in the world. The Moderate Resolution Imaging Spectroradiometer (MODIS) …