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 usc gamecocks online in cement, with the 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 the i

Changes in radioactive decay rates due to solar flares have attracted increasing scientific attention in recent decades.In previous studies we demonstrated that solar flares cause changes in the decay rate of 241Am, 222Rn, and 232Th.The change in the count rate of 54Mn due to solar flares, as observed by ford tridon scholars at Purdue University in

Epizootic hemorrhagic disease virus (EHDV) is an arthropod-transmitted RNA virus and the causative agent of epizootic hemorrhagic disease (EHD) in wild and domestic ruminants.In North America, white-tailed deer (WTD) experience the highest EHD-related morbidity and mortality, although samsung a71 price toronto clinical disease is reported in cattle

The anatomical organization of receptor neuron input into the olfactory bulb (OB) allows odor information to be transformed into an odorant-specific spatial map of mitral/tufted cell glomerular activity at the upper level of the olfactory bulb.In other sensory systems, neuronal representations of stimuli can be reorganized or enhanced following lea