Application of a convolutional neural network for seismic phase picking of mining-induced seismicity.

Monitoring mining-induced seismicity (MIS) can help engineers understand the rock mass response to resource extraction. With a thorough understanding of ongoing geomechanical processes, engineers can operate mines, especially those mines with the propensity for rock-bursting, more safely and efficiently. Unfortunately, processing MIS data usually requires significant effort from human analysts, which can result in substantial costs and time commitments.

Venom factor V from the common brown snake escapes hemostatic regulation through procoagulant adaptations.

Venomous snakes produce an array of toxic compounds, including procoagulants to defend themselves and incapacitate prey. The Australian snake Pseudonaja textilis has a venom-derived prothrombin activator homologous to coagulation factors V (FV) and Xa (FXa). Here we show that the FV component (pt-FV) has unique biologic properties that subvert the normal regulatory restraints intended to restrict an unregulated procoagulant response.