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Numerical simulation of electric signal in the cyber-physical immunosensor system on rectangular lattice in R package

НазваNumerical simulation of electric signal in the cyber-physical immunosensor system on rectangular lattice in R package
Назва англійськоюNumerical simulation of electric signal in the cyber-physical immunosensor system on rectangular lattice in R package
АвториAndrii Sverstiuk (https://orcid.org/0000-0001-8644-0776)
ПринадлежністьTernopil National Medical University, Ternopil, Ukraine
Бібліографічний описNumerical simulation of electric signal in the cyber-physical immunosensor system on rectangular lattice in R package / Andrii Sverstiuk / Scientific Journal of TNTU. — Tern. : TNTU, 2019. — Vol 94. — No 2. — P. 96–103. — (Mathematical modeling. Mathematics).
Bibliographic description:Sverstiuk A. (2019) Numerical simulation of electric signal in the cyber-physical immunosensor system on rectangular lattice in R package. Scientific Journal of TNTU (Tern.), vol. 94, no 2, pp. 96-103.
DOI: https://doi.org/10.33108/visnyk_tntu2019.02.096
УДК

602.1:519.85:53.082.9:616-07

Ключові слова

cyber-physical system, biosensor, immunosensor, mathematical model, differential equation, R package.

The numerical simulation of electric signal from the converter in the cyber-physical immunosensor system on rectangular lattice using differential equations with delay by means of R package is carried out in this paper. The functional features of R package as a programming environment for statistical data analysis are described, useful sites, references lists and documentation of R package are given. The names of parameters of the immunosensor model on rectangular lattice using the differential equations with delay and their numerical values in the package R are presented in the form of the table. The computer program «Numerical analysis of the electrical signal from the converter that characterizes the number of fluorescing pixels in the immunosensor on rectangular lattice using delayed differential equations» is implemented. The developed computer program makes it possible to carry out the investigation of the stability of immunosensory systems, which are widely used to obtain diagnostic information in order to evaluate critical states of cardiovascular disease, insulin values while measuring blood glucose values and identify quantitative indicators in some рharmaceutics compounds. The fragment of computer program listing in R package for obtaining the electrical signal from converter characterizing the number of fluorescent pixels in cyber-physical immunosensor system on rectangular lattice using delayed differential equations is presented. Numerical simulation for the electric signal from the converter in the immunosensor on rectangular lattice using the delayed differential equations is carried out. The changes of the received electrical signal corresponding to the number of fluorescent pixels in the cyber-physical immunosensory system are analyzed. The use of R package as a freely distributed software with graphical visualization of the analysis results is substantiated.

ISSN:2522-4433
Перелік літератури
  1. Lee E. A. Cyber physical systems: Design challenges. Center for Hybrid and Embedded Software
    Systems / EECS University of California, Berkeley, CA 94720, USA, Tech. Rep. UCB/EECS-2008-8, Jan. 2008. Р. 10.
  2. Lee J., Bagheri B., Kao H.-A. A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters. Vol. 3. 2015. Pp. 18–23.
  3. Kim K.-D., Kumar P. R. Cyber–physical systems: A perspective at the centennial. Proceedings of the IEEE. Vol. 100. No. Special Centennial Issue. May 2012. Pp. 1287–1308.
  4. Platzer A. Differential dynamic logic for hybrid systems. Journal of Automated Reasoning. Vol. 41. No. 2. 2008. Pp. 143–189.
  5. Martsenyuk V. P., Klos-Witkowska A., Sverstiuk A. S. Study of classification of immunosensors from viewpoint of medical tasks. Medical informatics and engineering. 2018. № 1 (41). P. 13–19.
  6. Karunakaran Ch., Pandiaraj M., Santharaman P. Chapter 4 Immunosensors Biosensors and Bioelectronics. New York: Elsevier Inc, 124 p.
  7. Kaspar Binz H., Amstutz P., Plückthun A. Engineering novel binding proteins from nonimmunoglobulin domains. Natural Biotechnology. 2005. V. 23 (10). P. 1257–1268.
  8. Renberg B., Nordin J., Merca A., Uhlén M., Feldwisch J. Affibody molecules in protein capture microarrays: evaluation of multidomain ligands and different detection formats. Journal of Proteome Resourses. 2007. V. 6. Pр. 171–179.
  9. Miao Z., Levi J., Cheng Z. Protein scaffold–based molecular probes for cancer molecular imaging. Amino Acids. 2010. V. 1. P. 9.
  10. Binz H. K., Engineered proteins as specific binding reagents. Current Opinion in Biotechnology. 2005. V. 16. P. 459–469.
  11. Dillon P. P., Daly S. J., Manning B. M., Kennedy R. O’ Immunoassay for the determination of morphine–3–glucuronide using a surface plasmon resonance–based biosensor. Biosensors and Bioelectronics. 2003. V. 18. Pр. 217–227.
  12. Tang J., Huang Y., Zhang C., Liu H., Tang D. Amplified impedimetric immunosensor based on instant catalyst for sensitive determination of ochratoxin A. Biosensors and Bioelectronics. 2016. V. 86.
    P. 386–392.
  13. Liu Y., Raymond R. L., Zenga X. Single Chain Fragment Variable Recombinant Antibody Functionalized Gold Nanoparticles for a Highly Sensitive Colorimetric Immunoassay. Biosensors and Bioelectronics. 2009. V. 24 (9). Pр. 2853–2857.
  14. Jon Sáenz, Santos J. González-Rojí, Sheila Carreno-Madinabeitia, Gabriel Ibarra-Berastegi Analysis of atmospheric thermodynamics using the R package aiRthermo. Computers & Geosciences. Volume 122. 2019. Pр. 113–119.
  15. Carla A. R. S. Fontoura, Gastone Castellani, José C. M. Mombach, The R implementation of the CRAN package PATHChange, a tool to study genetic pathway alterations in transcriptomic data. Computers in Biology and Medicine. Volume 78. 2016. Pр. 76–80.
  16. Daniel Adler, Duncan Murdoch, et al. rgl: 3D Visualization Using OpenGL. R package version
    0.96.0. 2016.
  17. Martsenyuk V., Klos-Witkowska A., Sverstiuk A. Stability, bifurcation and transition to chaos in a model of immunosensor based on lattice differential equations with delay. Electronic Journal of Qualitative Theory of Differential Equations. No. 2018 (27). P. 1–31.
  18. Martsenyuk V., Zinko P., Sverstiuk A. On Application of Latticed Differential Equations with a Delay for Immunosensor Modeling. Journal of Automation and Information Sciences. 2018. Volume 50. Issue 6. P. 55–65.
References:

The numerical simulation of electric signal from the converter in the cyber-physical immunosensor system on rectangular lattice using differential equations with delay by means of R package is carried out in this paper. The functional features of R package as a programming environment for statistical data analysis are described, useful sites, references lists and documentation of R package are given. The names of parameters of the immunosensor model on rectangular lattice using the differential equations with delay and their numerical values in the package R are presented in the form of the table. The computer program «Numerical analysis of the electrical signal from the converter that characterizes the number of fluorescing pixels in the immunosensor on rectangular lattice using delayed differential equations» is implemented. The developed computer program makes it possible to carry out the investigation of the stability of immunosensory systems, which are widely used to obtain diagnostic information in order to evaluate critical states of cardiovascular disease, insulin values while measuring blood glucose values and identify quantitative indicators in some рharmaceutics compounds. The fragment of computer program listing in R package for obtaining the electrical signal from converter characterizing the number of fluorescent pixels in cyber-physical immunosensor system on rectangular lattice using delayed differential equations is presented. Numerical simulation for the electric signal from the converter in the immunosensor on rectangular lattice using the delayed differential equations is carried out. The changes of the received electrical signal corresponding to the number of fluorescent pixels in the cyber-physical immunosensory system are analyzed. The use of R package as a freely distributed software with graphical visualization of the analysis results is substantiated.

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