A Survey of Cybersecurity of Digital Manufacturing

The Industry 4.0 concept promotes a digital manufacturing (DM) paradigm that can enhance quality and productivity, which reduces inventory and the lead time for delivering custom, batch-of-one products based on achieving convergence of additive, subtractive, and hybrid manufacturing machines, automation and robotic systems, sensors, computing, and communication networks, artificial intelligence, and big data. A DM system consists of embedded electronics, sensors, actuators, control software, and interconnectivity to enable the machines and the components within them to exchange data with other machines, components therein, the plant operators, the inventory managers, and customers. This article presents the cybersecurity risks in the emerging DM context, assesses the impact on manufacturing, and identifies approaches to secure DM

Prostaglandin biosynthesis can be triggered by lipid peroxides

Studies of ferriheme cyclooxygenase, using two different assay systems, show that a variety of peroxides can trigger a rapid acceleration of cyclooxygenase activity to produce prostaglandins. Lipid hydroperoxides formed by lipoxygenase were the most potent activators tested, followed by prostaglandin G2, which was slightly less potent. Peroxides nonspeciflcally generated during arachidonate autoxidation were as potent as the enzymatically formed lipid peroxides. These findings have important implications for cell function since any process which generates peroxides may activate the cyclooxygenase. Thus the balance between formation and removal of cellular lipid peroxides sets a peroxide tone that can regulate the rate of prostaglandin formation in cells.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/23604/1/0000566.pd

A Survey of Cybersecurity of Digital Manufacturing

The Industry 4.0 concept promotes a digital manufacturing (DM) paradigm that can enhance quality and productivity, which reduces inventory and the lead time for delivering custom, batch-of-one products based on achieving convergence of additive, subtractive, and hybrid manufacturing machines, automation and robotic systems, sensors, computing, and communication networks, artificial intelligence, and big data. A DM system consists of embedded electronics, sensors, actuators, control software, and interconnectivity to enable the machines and the components within them to exchange data with other machines, components therein, the plant operators, the inventory managers, and customers. This article presents the cybersecurity risks in the emerging DM context, assesses the impact on manufacturing, and identifies approaches to secure DM