Industry executive Jay Krish is experimenting with large language models to help PMs monitor for risk.

Hence, it becomes obligatory to measure protein concentration accurately to ensure reproducibility in research such as Western blotting, enzyme kinetics, and cell signaling studies. The BCA ...

Because of their rapid growth and geographic concentration, data centers are the electrification challenge we face right now—the small stuff we have to figure out before we’re able to do the ...

Save guides, add subjects and pick up where you left off with your BBC account. Data can be presented in many ways that make it quicker and easier to read. In this section we will look at some of ...

Abstract: High-resolution ice concentration information is required for navigation purposes, validating ice models, and data assimilation. The currently available operational ice concentration ...

This requires models to have cognition of the characteristics of traffic data. However, current deep learning models based on spatiotemporal networks typically employ single-scale graph convolutions ...

Here, we present a novel parametric algorithm, OCG, trained on a set of global in situ high-performance liquid chromatography (HPLC) data that leverages Level3 remote sensing reflectance (Rrs) ...

There is a more recent version of these data. Observations from historical sources are the basis of this monthly gridded sea ice concentration product that begins in 1850. In 1979, these sources give ...

For extinction coefficient determination, native protein absorbance was measured with the spectrophotometer, and protein concentration was measured by ... were loaded into six channel cells. The data ...

Protein concentration determination, known as a protein assay, is a basic biochemical method and often necessary before processing protein samples. Currently, the measurement used most commonly in ...