Flexible active-site loops fine-tune substrate specificity of hyperthermophilic metallo-oxidases.

Hyperthermophilic ('superheat-loving') archaea found in high-temperature environments such as Pyrobaculum aerophilum contain multicopper oxidases (MCOs) with remarkable efficiency for oxidizing cuprous and ferrous ions. In this work, directed evolution was used to expand the substrate specificity of P. aerophilum McoP for organic substrates.

Mechanistic insights into glycoside 3-oxidases involved in C-glycoside metabolism in soil microorganisms.

C-glycosides are natural products with important biological activities but are recalcitrant to degradation. Glycoside 3-oxidases (G3Oxs) are recently identified bacterial flavo-oxidases from the glucose-methanol-coline (GMC) superfamily that catalyze the oxidation of C-glycosides with the concomitant reduction of O to HO. This oxidation is followed by C-C acid/base-assisted bond cleavage in two-step C-deglycosylation pathways.

Food Losses and Waste: A Needed Assessment for Future Policies.

About one third of food produced for human consumption is lost or wasted. For this reason, food losses and waste has become a key priority within worldwide policy circles. This is a major global issue that not only threatens the viability of a sustainable food system but also generates negative externalities in environmental terms.

Didactic platform for DC motor speed and position control in Z-plane.

This paper describes how to implement a low-cost didactic platform designed to teach or reinforce discrete control theory concepts. The controllers used in this work (P, PI, PD, and PID) are suitable for undergraduate students but the same platform could be used to explain and test advanced controllers to graduate students. This document shows, step by step, how to control a DC motor speed and position, along with the most common problems and its solutions, commonly overlooked in the literature.

From fault detection to one-class severity discrimination of 3D printers with one-class support vector machine.

The lack of faulty condition data reduces the feasibility of supervised learning for fault detection or fault severity discrimination in new manufacturing technologies. To deal with this issue, one-class learning arises for building binary discriminative models using only healthy condition data. However, these models have not been extrapolated to severity discrimination.