Abstract: Systems and methods relating to identifying raw materials and predicting gas production based on the identified raw materials. Machine learning models are used to identify (through pattern matching or curve fitting) raw materials. Once the raw materials are identified, expected gases and their quantities produced through fermentation are determined using another machine learning model. The predicted gases and amounts are then sent to a user.

Abstract: The present disclosure relates to methods of manufacture for producing anti-IL-12/IL-23p40 antibodies, e.g., the anti-IL-12/IL-23p40 antibody ustekinumab, and specific pharmaceutical compositions of the antibody.

Abstract: Systems and methods for continuous monitoring of farm-related equipment. Multiple sensors are deployed such that the pressure resulting from each pulsator is monitored. Sensor data is transmitted from the sensors to a data collection and forwarding subsystem. The subsystem then forwards the sensor data to a server. The server analyzes the sensor data and determines if the farm-related equipment is operating within acceptable parameters. Should the equipment be underperforming based on predetermined standards, an alarm is communicated to one or more users. The alarm can be received by way of an email, a text message, or any other known ways of communications.