Soil freeze–thaw (FT) cycles play a crucial role in land–atmosphere energy exchange and climate regulation, yet accurate ...

A research team has developed a neuron device that holds potential for application in large-scale, high-speed superconductive neural network circuits. The device operates at high speeds with ultra-low ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

If you’ve ever watched a heist movie, you know the drill: before the actual robbery, the crew runs through simulations, testing security systems, identifying weak points, and rehearsing their approach ...

Cells process dynamic signaling inputs to regulate fate decisions during development. While oscillations or waves in key developmental pathways, such as Wnt, have been widely observed, the principles ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

What if vaccination could be done through simple skin application rather than injection? A team of researchers has studied ...

DeNovix discusses how customer demand inspired the development of specialized CellDrop applications for hepatocytes and ...

Researchers at Lehigh University are developing a faster, more accurate way to predict how metals solidify during 3D printing ...

The principle of concrete maturity offers a non-destructive approach to estimate strength, crucial for timely decisions in ...