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Journal of Toxicology
Volume 2018, Article ID 2637209, 9 pages
https://doi.org/10.1155/2018/2637209
Research Article

Implementation of Fractal Dimension and Self-Organizing Map to Detect Toxic Effects of Toluene on Movement Tracks of Daphnia magna

1The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, MEP, Guangzhou 510655, China
2Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China

Correspondence should be addressed to Chunlei Xia; moc.liamg@9002aix.c and Zhongya Fan; gro.seics@aygnohznaf

Received 28 September 2017; Revised 17 January 2018; Accepted 24 January 2018; Published 26 February 2018

Academic Editor: Xiaohui Zhang

Copyright © 2018 Yuedan Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. Hellou, “Behavioural ecotoxicology, an “early warning” signal to assess environmental quality,” Environmental Science and Pollution Research, vol. 18, no. 1, pp. 1–11, 2011. View at Publisher · View at Google Scholar · View at Scopus
  2. A. D. Lemly and R. J. F. Smith, “A behavioral assay for assessing effects of pollutants on fish chemoreception,” Ecotoxicology and Environmental Safety, vol. 11, no. 2, pp. 210–218, 1986. View at Publisher · View at Google Scholar · View at Scopus
  3. H. Dutta, J. Marcelino, and C. Richmonds, “Brain acetylcholinesterase activity and optomotor behavior in bluegills, lepomis macrochirus exposed to different concentrations of diazinon,” Archives Internationales de Physiologie, de Biochimie et de Biophysique, vol. 100, no. 5, pp. 331–334, 1992. View at Publisher · View at Google Scholar · View at Scopus
  4. Y. Liu, T.-S. Chon, H. Baek, Y. Do, J. H. Choi, and Y. D. Chung, “Permutation entropy applied to movement behaviors of Drosophila melanogaster,” Modern Physics Letters B, vol. 25, no. 12-13, pp. 1133–1142, 2011. View at Publisher · View at Google Scholar · View at Scopus
  5. F. Filiciotto, M. Vazzana, M. Celi et al., “Behavioural and biochemical stress responses of Palinurus elephas after exposure to boat noise pollution in tank,” Marine Pollution Bulletin, vol. 84, no. 1-2, pp. 104–114, 2014. View at Publisher · View at Google Scholar · View at Scopus
  6. H.-J. Eom, H. Kim, B.-M. Kim, T.-S. Chon, and J. Choi, “Integrative assessment of benzene exposure to Caenorhabditis elegans using computational behavior and toxicogenomic analyses,” Environmental Science & Technology, vol. 48, no. 14, pp. 8143–8151, 2014. View at Publisher · View at Google Scholar · View at Scopus
  7. M.-J. Bae, T.-S. Chon, and Y.-S. Park, “Modeling behavior control of golden apple snails at different temperatures,” Ecological Modelling, vol. 306, pp. 86–94, 2015. View at Publisher · View at Google Scholar · View at Scopus
  8. L. Wang, Z. Ren, H. Kim, C. Xia, R. Fu, and T.-S. Chon, “Characterizing response behavior of medaka (Oryzias latipes) under chemical stress based on self-organizing map and filtering by integration,” Ecological Informatics, vol. 29, part 2, pp. 107–118, 2015. View at Publisher · View at Google Scholar · View at Scopus
  9. T.-S. Chon, “Self-organizing maps applied to ecological sciences,” Ecological Informatics, vol. 6, no. 1, pp. 50–61, 2011. View at Publisher · View at Google Scholar · View at Scopus
  10. L. G. Shapiro and G. C. Stockman, Computer Vision, Prentice-Hall, Upper Saddle River, NJ, USA, 2001.
  11. D. L. Pham, C. Xu, and J. L. Prince, “Current methods in medical image segmentation,” Annual Review of Biomedical Engineering, vol. 2, no. 2000, pp. 315–337, 2000. View at Publisher · View at Google Scholar · View at Scopus
  12. H. Mobahi, S. R. Rao, A. Y. Yang, S. S. Sastry, and Y. Ma, “Segmentation of natural images by texture and boundary compression,” International Journal of Computer Vision, vol. 95, no. 1, pp. 86–98, 2011. View at Publisher · View at Google Scholar · View at Scopus
  13. T.-S. Chon, Y.-S. Park, K. Y. Park, S.-Y. Choi, K. T. Kim, and E. C. Cho, “Implementation of computational methods to pattern recognition of movement behavior of Blattella germanica (Blattaria: Blattellidae) treated with Ca2+ signal inducing chemicals,” Applied Entomology and Zoology, vol. 39, no. 1, pp. 79–96, 2004. View at Publisher · View at Google Scholar · View at Scopus
  14. C.-K. Kim, I.-S. Kwak, E.-Y. Cha, and T.-S. Chon, “Implementation of wavelets and artificial neural networks to detection of toxic response behavior of chironomids (Chironomidae: Diptera) for water quality monitoring,” Ecological Modelling, vol. 195, no. 1-2, pp. 61–71, 2006. View at Publisher · View at Google Scholar · View at Scopus
  15. B. B. Mandelbrot, The Fractal Geometry of Nature, Freeman, W. H. and Company, 1st edition, 1983.
  16. H.-J. Eom, Y. Liu, G.-S. Kwak et al., “Inhalation toxicity of indoor air pollutants in Drosophila melanogaster using integrated transcriptomics and computational behavior analyses,” Scientific Reports, vol. 7, Article ID 46473, 14 pages, 2017. View at Publisher · View at Google Scholar · View at Scopus
  17. C. W. Ji, S. H. Lee, K.-H. Choi et al., “Monitoring of movement behaviors of chironomid larvae after exposure to diazinon using fractal dimension and self-organizing map,” International Journal of Ecodynamics, vol. 2, pp. 11-12, 2007. View at Google Scholar
  18. T. Kohonen, Self-Organizing Maps, Springer, Berlin, Germany, 2001.
  19. T. V. Nguyen, Y. Liu, I.-H. Jung, T.-S. Chon, and S.-H. Lee, “Unraveling Markov processes in movement patterns of indicator species in response to chemical stressors,” Modern Physics Letters B, vol. 25, no. 12-13, pp. 1143–1149, 2011. View at Publisher · View at Google Scholar · View at Scopus
  20. T. Uehara, B. Li, B.-M. Kim et al., “Inferring conflicting behavior of zebrafish (Danio rerio) in response to food and predator based on a self-organizing map (SOM) and intermittency test,” Ecological Informatics, vol. 29, no. 2, pp. 119–129, 2015. View at Publisher · View at Google Scholar · View at Scopus
  21. H. Lakany, “Extracting a diagnostic gait signature,” Pattern Recognition, vol. 41, no. 5, pp. 1627–1637, 2008. View at Publisher · View at Google Scholar · View at Scopus
  22. J. Martins, M. L. Soares, M. L. Saker, L. OlivaTeles, and V. M. Vasconcelos, “Phototactic behavior in Daphnia magna Straus as an indicator of toxicants in the aquatic environment,” Ecotoxicology and Environmental Safety, vol. 67, no. 3, pp. 417–422, 2007. View at Publisher · View at Google Scholar · View at Scopus
  23. E. Lari, S. Wiseman, E. Mohaddes, G. Morandi, H. Alharbi, and G. G. Pyle, “Determining the effect of oil sands process-affected water on grazing behaviour of Daphnia magna, long-term consequences, and mechanism,” Chemosphere, vol. 146, pp. 362–370, 2016. View at Publisher · View at Google Scholar · View at Scopus
  24. Y. Fan, Q. Zhou, Y. Wang, and S. Zhu, “Toxic effects of BTEX in water on Daphnia magna and Limnodrilus hoffmeisteri and safety assessment of the aquatic environment,” Acta Scientiae Circumstantiae, vol. 29, no. 7, pp. 1485–1490, 2009. View at Google Scholar · View at Scopus
  25. B.-P. Elendt and W.-R. Bias, “Trace nutrient deficiency in Daphnia magna cultured in standard medium for toxicity testing. Effects of the optimization of culture conditions on life history parameters of D. magna,” Water Research, vol. 24, no. 9, pp. 1157–1167, 1990. View at Publisher · View at Google Scholar · View at Scopus
  26. G. Bringmann and R. Kuehn, “Results of toxic action of water pollutants on Daphnia magna Straus tested by an improved standardized procedure,” Zeitschrift fur Wasser und Abwasser Forschung, vol. 15, no. 1, pp. 1–6, 1982. View at Google Scholar · View at Scopus
  27. G. A. LeBlanc, “Acute toxicity of priority pollutants to water flea (Daphnia magna),” Bulletin of Environmental Contamination and Toxicology, vol. 24, no. 1, pp. 684–691, 1980. View at Publisher · View at Google Scholar · View at Scopus
  28. M. Piccardi, “Background subtraction techniques: a review,” in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC '04), pp. 3099–3104, Hague, The Netherlands, October 2004. View at Publisher · View at Google Scholar · View at Scopus
  29. Y. Liu, T.-S. Chon, and S.-H. Lee, “Hidden Markov model and self-organizing map applied to exploration of movement behaviors of Daphnia magna (Cladocera: Daphniidae),” Journal of the Korean Physical Society, vol. 56, no. 31, pp. 1003–1010, 2010. View at Publisher · View at Google Scholar · View at Scopus
  30. Y. Liu, S.-H. Lee, and T.-S. Chon, “Analysis of behavioral changes of zebrafish (Danio rerio) in response to formaldehyde using Self-organizing map and a hidden Markov model,” Ecological Modelling, vol. 222, no. 14, pp. 2191–2201, 2011. View at Publisher · View at Google Scholar · View at Scopus
  31. J. J. Gagnepain and C. Roques-Carmes, “Fractal approach to two-dimensional and three-dimensional surface roughness,” Wear, vol. 109, no. 1–4, pp. 119–126, 1986. View at Publisher · View at Google Scholar · View at Scopus
  32. J. Ward Jr., “Hierarchical grouping to optimize an objective function,” Journal of the American Statistical Association, vol. 58, pp. 236–244, 1963. View at Publisher · View at Google Scholar · View at MathSciNet
  33. D. Wishart, “An algorithm for hierarchical classifications,” Biometrics, vol. 25, no. 1, pp. 165–170, 1969. View at Google Scholar
  34. J. Vesanto, J. Himberg, E. Alhoniemi, and J. Parhankangas, SOM Toolbox for Matlab 5, Helsinki University of Technology, 2000.
  35. SPSS 15.0 Command Syntax Reference, SPSS Inc., Chicago, Ill, USA, 2006.
  36. A. Gerhardt, “Recent trends in automated biomonitoring for water quality control,” in Biomonitoring of Polluted Water—Reviews on Actual Topics, A. Gerhardt, Ed., vol. 9 of Environmental Research Forum, p. 95, TTP, Zurich, Switzerland, 1999. View at Google Scholar
  37. P. D. Robinson, “Behavioural toxicity of organic chemical contaminants in fish: Application to ecological risk assessments (ERAs),” Canadian Journal of Fisheries and Aquatic Sciences, vol. 66, no. 7, pp. 1179–1188, 2009. View at Publisher · View at Google Scholar · View at Scopus
  38. T. L. Beitinger, “Behavioral reactions for the assessment of stress in fishes,” Journal of Great Lakes Research, vol. 16, no. 4, pp. 495–528, 1990. View at Publisher · View at Google Scholar · View at Scopus
  39. Y. Liu and R. H. Weisberg, “Patterns of ocean current variability on the West Florida Shelf using the self-organizing map,” Journal of Geophysical Research: Oceans, vol. 110, no. 6, Article ID C06003, 12 pages, 2005. View at Publisher · View at Google Scholar · View at Scopus
  40. R. Jeanson, S. Blanco, R. Fournier, J.-L. Deneubourg, V. Fourcassié, and G. Theraulaz, “A model of animal movements in a bounded space,” Journal of Theoretical Biology, vol. 225, no. 4, pp. 443–451, 2003. View at Publisher · View at Google Scholar · View at MathSciNet
  41. R. M. A. Hayman, J. G. Donnett, and K. J. Jeffery, “The fuzzy-boundary arena—a method for constraining an animal’s range in spatial experiments without using walls,” Journal of Neuroscience Methods, vol. 167, no. 2, pp. 184–190, 2008. View at Publisher · View at Google Scholar · View at Scopus