Pronounced temporal changes in soil microbial community and nitrogen transformation caused by benzalkonium chloride

Yang, Rui; Zhou, Shaohong; Qin, Cunli

doi:10.1016/j.jes.2022.04.004

Cited by 10 publications

(1 citation statement)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…High concentrations of BAC affect aquatic ecosystems due to endocrine disruption in fishes, while longterm consequences are still the subject of further research [4]. BAC also influences microorganism activity in soil, hence their nitrogen transformation capacity [5], while in plants it can induce nutrient deficiency [6]. Although levels of BAC concentrations are regulated, this chemical species still raises concerns due to the limited understanding of its long term effects [7].…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Neural Networks in Adsorption Studies. A case study

Mihály

Csavdari

2022

Acta Materialia Transylvanica

View full text Add to dashboard Cite

The work focuses on the development of an artificial neural network (ANN) based model that can describe the adsorption of benzalkonium chloride from aqueous solutions onto commercially available kitchen paper. Various ANN architectures were tested in order to find the most suitable one in terms of overlapping between calculated and measured output data (coefficient of determination and mean absolute percentage error), as well as correctly interpolating outputs when using inputs form inside the experimental training range. The networks all had 4 inputs and 1 output, as well as a single hidden layer. Optimal ANN design was sought by varying both the number of neurons in the hidden layer and the type of transfer function towards it. The best find was employed in assessing the relative importance of input parameter values in the output, as well as the model’s suitability for predictions outside the training range.

show abstract

Section: Introductionmentioning

confidence: 99%