A deep learning-based scheme is proposed for automated and efficient processing of teleseismic phases.

1. The validation with two teleseismic phases, PcP and PKiKP, demonstrate high detection accuracies and low picking errors.

2. Deep-learning picking of first peaks is more accurate than picking first breaks of teleseismic phases.

3. This proposed scheme would enhance mining of teleseismic phases and probing of Earth's interior structures and their dynamics.

A University of Maryland study reveals an evolutionary trade-off that young plants face to develop disease resistance.

Quantum states can only be prepared and observed under highly controlled conditions. A research team from Innsbruck, Austria, has now succeeded in creating so-called hot Schrödinger cat states in a superconducting microwave resonator. The study, recently published in Science Advances, shows that quantum phenomena can also be observed and used in less perfect, warmer conditions.