Do not simply pull a handful of hay from the end of the bale as your sample. That will not give an accurate result.

Abstract: In recent years, physics-informed neural networks (PINNs) have developed significantly as a deep learning technology. In analogy to the selection of grid cells in traditional numerical ...

From replacement selection to BRD resilience, tissue sampling units provide a fast, clean and reliable path to the genomic ...

This executive summary explores how revisions to USP <621> have introduced greater flexibility in chromatographic method adjustments while reinforcing system suitability as the definitive standard for ...

Abstract: In this communication, a new sampling method called the knowledge-based sampling method (KBSM) is proposed for deep learning (DL)-assisted planar antenna array design. This approach uses ...

Dr. Weatherby is the director of the Digital Theory Lab at New York University. Dr. Recht is a professor of electrical engineering and computer sciences at the University of California, Berkeley. See ...

In pharmaceutical quality control and research laboratories, dissolution testing remains one of the most critical, and closely regulated, analytical processes. It determines how a drug product ...

As regulatory scrutiny tightens and cost pressures mount, laboratory leaders are redefining what a fully automated dissolution lab looks like—and how to achieve it practically. Fully automated "lights ...

Want to learn more on this subject? Markus Schilling is a PhD student at the chair of technical electrochemistry under the supervision of Prof Hubert A Gasteiger at the Technische Universität München.

With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk of error. In our prior ...

(NEXSTAR) – Over 141,000 bottles of cholesterol medication have been recalled due to “failed dissolution specifications,” suggesting that the drugs did not pass a solubility test, or failed to ...