A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations.

Nutrient regulation in aquaponic environments has been a topic of research for many years. Most studies have focused on appropriate control of nutrients in an aquaponic set-up, but very little research has been conducted on commercial-scale applications. In our model, the input data were sourced on a weekly basis from three commercial aquaponic farms in Southeast Texas over the course of a year.

EX-MET study: exercise in prevention on of metabolic syndrome - a randomized multicenter trial: rational and design.

Background: Metabolic syndrome substantially increases risk of cardiovascular events. It is therefore imperative to develop or optimize ways to prevent or attenuate this condition. Exercise training has been long recognized as a corner-stone therapy for reducing individual cardiovascular risk factors constituting the metabolic syndrome.

Evaluation of cellulose pads as a method to detect cytomegalovirus DNA in neonatal urine.

Background Several approaches exist to screen neonates for congenital cytomegalovirus infection. We here describe a new method using cellulose pads for urine collection and its evaluation in an experimental and a clinical setting. Methods We systematically tested the effect of storage duration of the pads after exposure to cytomegalovirus-positive urine, meconium contamination and specimen handling on the cytomegalovirus load and the detection rate.

CO production, dissolution and pressure dynamics during silage production: multi-sensor-based insight into parameter interactions.

Silage is a critical global feedstock, but is prone to aerobic deterioration. The dominant mechanism of O transport into silage remains unresolved. Here, multiple sensors tracked O and CO, gas pressure (ΔP) between internal silage and ambient air, pH and silage temperature (T) during the ensilage of maize and ryegrass.

Developing a Penetrometer-Based Mapping System for Visualizing Silage Bulk Density from the Bunker Silo Face.

For silage production, high bulk density (BD) is critical to minimize aerobic deterioration facilitated by oxygen intrusion. To precisely assess packing quality for bunker silos, there is a desire to visualize the BD distribution within the silage. In this study, a penetrometer-based mapping system was developed.