MACHINE LEARNING ALGORITHM TO PREDICT CO2 USING A CEMENT MANUFACTURING HISTORIC PRODUCTION VARIABLES DATASET: A CASE STUDY AT UNION BRIDGE PLANT, HEIDELBERG MATERIALS, MARYLAND

This study uses machine learning methods to model different stages of the calcination process in cement, with the Bike Parts - Wheel Parts goal of improving knowledge of the generation of CO2 during cement manufacturing.Calcination is necessary to determine the clinker quality, energy needs, and CO2 emissions in a cement-producing facility.Due to t

New technologies related to the identification of bacterial communities in fresh forage and silage may give valuable detailed information on the best practices to produce animal feeds.The objective was to evaluate how management conditions during silage making manipulate the profile of bacterial communities and fermentation quality of grass silages

Predatory and scavenging birds may be exposed to high levels of lead when they ingest shot or bullet fragments embedded in the tissues of animals injured or killed with lead ammunition.Lead poisoning was a contributing factor in the decline of the endangered California condor population in the 1980s, and remains one of the primary factors threateni

Over the past two decades, the Greater London Authority (GLA) has pursued the delivery of high-density development in London in order to respond to population growth whilst protecting the green belt.Though high-density places have been associated with sustainable DECONGESTANT TEA outcomes, it is well documented that residents interact less frequent

Consumption of ready-to-eat chopped fruits sold in the streets is a concern, as such activities are outside the regulation and protection in most developing countries.Ready-to-eat mangos are commonly sold as wedges in plastic cups at ambient temperature by mobile vendors in Ecuador, thus they are prone to contamination by bacteria, which poses a sa