Publications by authors named "E M Siedlecka"

Hydrogen peroxide (HO) finds extensive applications in various industries, particularly in the environmental field. The photocatalytic production of HO through the oxygen reduction reaction (ORR) or the water oxidation reaction (WOR) offers a promising approach. However, several challenges hinder effective on-site production, such as the rapid electron-hole pair recombination, inefficient visible light utilization, and limited selectivity in HO formation.

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In this study, we employed the response surface method (RSM) and the long short-term memory (LSTM) model to optimize operational parameters and predict chemical oxygen demand (COD) removal in the electrocoagulation-catalytic ozonation process (ECOP) for pharmaceutical wastewater treatment. Through RSM simulation, we quantified the effects of reaction time, ozone dose, current density, and catalyst packed rate on COD removal. Then, the optimal conditions for achieving a COD removal efficiency exceeding 50% were identified.

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Iron-based biochar exhibits great potential in degrading emerging pollutants and remediation of water environments. In this study, a highly efficient catalytic Fe/biochar (MZB-800) was synthesized by the co-pyrolysis of poplar sawdust and KFeO at 800 °C. A novel water purification technology of pre-reduction followed by PMS activation for MZB-800 was proposed to degrade the refractory 2,4-dichlorophenoxyacetic acid (2,4-D) pesticide.

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Catalytic ozonation is an effective wastewater purification process. However, the low ozone mass transfer in packed bubble columns leads to low ozone utilization efficiency (OUE), poor organic degradation performance, and high energy consumption. Therefore, there is an urgent need to develop efficient supported catalysts that can enhance mass transfer and performance.

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Article Synopsis
  • Theoretical perspectives in the affective sciences have increased in variety rather than converging due to differing beliefs about the nature and function of human emotions.
  • A teleological principle is proposed to create a unified approach by viewing human affective phenomena as algorithms that adapt to comfort or monitor these adaptations.
  • This framework aims to organize existing theories and inspire new research in the field, leading to a more integrated understanding of human affectivity through the concept of the Human Affectome.
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