In this protocol, we describe detailed procedures for the production and use of a label-free spiral microfluidic device to allow size-based isolation of viable CTCs using hydrodynamic forces that ...

A little noticed surveillance technology, designed to track the movements of every passing driver, is fast proliferating on America’s streets. Automatic license plate readers, mounted on police cars ...

I'm PCMag's managing editor for consumer electronics, overseeing an experienced team of analysts covering smart home, home entertainment, wearables, fitness and health tech, and various other ...

Home glucose meters can help lower your risk of complications from diabetes. Along with treatment, using a home monitor can help you identify the things that make your blood sugar increase or ...

Abstract: The object tracking algorithm based on siamese network converts the ... To solve this problem, we construct a graph for template and search features and embed the template feature ...

As a result, we proposed a label-enhanced dense graph convolutional network that employs dense connectivity and Graph Transformer Networks (GTN) to learn a flexible selection of edge types and ...

Here, we present stGuide, an attention-based supervised graph learning model designed for cross-slice alignment and efficient label transfer from reference to query datasets. stGuide leverages ...

We developed multi-label incremental learning code based on the PyCIL toolkit. Reference details are in Section B.2 of the paper. Users can still extend other methods in PyCIL to multi-label scenarios ...