Shimadzu researchers aimed to develop a more efficient supercritical fluid chromatography method for solid-state injection and streamlining sample pretreatment.

The Los Angeles-made label looks back on how sourcing deadstock fiber for its latest collection would not be possible in the country’s current climate.

It adaptively learns sample weights from a balanced and clean-label meta-dataset, training a model robust to imbalance and ordinal relationships. We validate its effectiveness in two real-world case ...

We study problems that have widespread cybersecurity implications and develop advanced methods and tools to counter large-scale, sophisticated cyber threats. CERT experts are a diverse group of ...