1,720,973 research outputs found
Occurrence of anionic surfactants in treated sewage: Risk assessment to aquatic environment
Risk Assessment to the Environment Due to Anionic Surfactants in Treated Sewages and Dried Sludges
Modeling and Optimization of Process Parameters by Taguchi Method: Degradation of Phenolic Compounds by UV/H2O2/TiO2 Process
In this study, Taguchi method was used to identify the several factors that may affect the percentage degradation of phenol and p-chlorophenol in wastewater in a UV/H2O2/TiO2 system. The percentage degradation of phenol and p-chlorophenol was greatly influenced by factors such as pH, cycle time and initial concentration of the organic pollutant. By using orthogonal experimental design and analysis technique, the UV/H2O2/TiO2 system performance can be analyzed with more objective conclusion through only a small number of simulation experiments. Analysis of variance (ANOVA) was carried out to identify the significant factors affecting the response and the best possible factor level combination was determined through. Finally, a regression model for percentage degradation of phenol and p-chlorophenol has been developed, as a function of system parameters. It was found that a UV/H2O2/TiO2 system decomposition of the organic pollutant were highly dependent on cycle time followed by pH of aqueous solution. The optimal settings of highest percentage degradation of phenol and p-chlorophenol in wastewater were also determined.</jats:p
Bioelectrochemical behaviour of a sequentially added biocatalytic coculture in a microbial fuel cell
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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