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Papers by Enzo Silva
ECOTOXICOLOGY AND ENVIRONMENTAL CONTAMINATION
The textile industry extensively uses synthetic chemicals such as dyes. Several studies report th... more The textile industry extensively uses synthetic chemicals such as dyes. Several studies report the deleterious effects (e.g., cell death and DNA damage) of dispersive dyes on humans. Humans can be exposed to toxic dyes by ingesting contaminated waters or dermal contact with colored garments. Thus, toxicity evaluations of textile dyes using organ-specific cell lines are relevant to estimating their hazard. Cyto- and geno-toxicity of the dyes Reactive Green 19 (RG19), Reactive Blue 2 (RB2), Reactive Blue 19 (RB19), Reactive Red 120 (RR120) and Reactive Orange 16 (RO16) were evaluated by the In Vitro MicroFlow® kit with immortalized human keratinocyte cell line (HaCaT) and immortalized human hepatic cell line (HepaRG). Concentrationdependent cytotoxicity was observed for HaCaT cells exposed to three of the five tested dyes (RB2, RB19, RO16), while in HepaRG cells, cytotoxic effects were only verified after exposure to RB19 and RO16 at the highest tested concentration (1000 µg/mL). Geno...
2014 International Joint Conference on Neural Networks (IJCNN), 2014
In this paper, an automatic clustering algorithm applied to self-organizing map (SOM) neurons is ... more In this paper, an automatic clustering algorithm applied to self-organizing map (SOM) neurons is presented. The connections of the SOM grid are pruned according to a weighted sum of a set of measures of connection strength between adjacent neurons. The coefficients of the weighted sum are obtained through particle swarm optimization (PSO) search in the multidimensional problem space, where the fitness function is the composed density between and within clusters (CDbw) validity index of strongly connected groups of neurons, while scanning through different values of the minimum cluster size so as to find stable regions with a reasonable trade-off between their length and their mean CDbw value. Simulation results are further presented to show the performance of the proposed method applied to synthetic and real world datasets.
ECOTOXICOLOGY AND ENVIRONMENTAL CONTAMINATION
The textile industry extensively uses synthetic chemicals such as dyes. Several studies report th... more The textile industry extensively uses synthetic chemicals such as dyes. Several studies report the deleterious effects (e.g., cell death and DNA damage) of dispersive dyes on humans. Humans can be exposed to toxic dyes by ingesting contaminated waters or dermal contact with colored garments. Thus, toxicity evaluations of textile dyes using organ-specific cell lines are relevant to estimating their hazard. Cyto- and geno-toxicity of the dyes Reactive Green 19 (RG19), Reactive Blue 2 (RB2), Reactive Blue 19 (RB19), Reactive Red 120 (RR120) and Reactive Orange 16 (RO16) were evaluated by the In Vitro MicroFlow® kit with immortalized human keratinocyte cell line (HaCaT) and immortalized human hepatic cell line (HepaRG). Concentrationdependent cytotoxicity was observed for HaCaT cells exposed to three of the five tested dyes (RB2, RB19, RO16), while in HepaRG cells, cytotoxic effects were only verified after exposure to RB19 and RO16 at the highest tested concentration (1000 µg/mL). Geno...
2014 International Joint Conference on Neural Networks (IJCNN), 2014
In this paper, an automatic clustering algorithm applied to self-organizing map (SOM) neurons is ... more In this paper, an automatic clustering algorithm applied to self-organizing map (SOM) neurons is presented. The connections of the SOM grid are pruned according to a weighted sum of a set of measures of connection strength between adjacent neurons. The coefficients of the weighted sum are obtained through particle swarm optimization (PSO) search in the multidimensional problem space, where the fitness function is the composed density between and within clusters (CDbw) validity index of strongly connected groups of neurons, while scanning through different values of the minimum cluster size so as to find stable regions with a reasonable trade-off between their length and their mean CDbw value. Simulation results are further presented to show the performance of the proposed method applied to synthetic and real world datasets.