dc.contributor.author | Nieto-Chaupis, Huber | |
dc.date.accessioned | 2022-04-29T17:12:25Z | |
dc.date.available | 2022-04-29T17:12:25Z | |
dc.date.issued | 2021-10-18 | |
dc.identifier.citation | Nieto-Chaupis, H. (2021). Proteins-Based Circuits in an Intelligent Internet of Bio-Nano Things Network for Molecular Diagnostic of Renal Damage. In 2021 Third International Conference on Transdisciplinary AI (TransAI) (pp. 68-71). IEEE. | es_PE |
dc.identifier.isbn | 978-1-6654-3412-6 | |
dc.identifier.uri | https://hdl.handle.net/20.500.13067/1812 | |
dc.description.abstract | It is shown that the accumulation of albumin proteins around the locations of podocytes is rather similar to a R-C (Resistance-Capacitor) circuit. While the electric shielding is not enough to detain the pass of albumin, more than a diffusion phenomenon, it is a problem that is entirely treated as one belonging to the classical electrodynamics. In this manner it was identified that the diffusion constant plays a role as the electrical parameters. The permanent aggregation of albumin proteins creates a capacitance. Therefore the expended power by the R-C circuit is interpreted as the loss of energy of renal glomerulus with implications on the performance and homeostasis of kidney. Thus, the identification of electric unbalance is translated as a signal of Kidney disease. The fact of having a physics-based scenario demands us to propose schemes inside the framework of the Internet of Bio-Nano Things. | es_PE |
dc.format | application/pdf | es_PE |
dc.language.iso | eng | es_PE |
dc.publisher | Institute of Electrical and Electronics Engineers | es_PE |
dc.rights | info:eu-repo/semantics/restrictedAccess | es_PE |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | es_PE |
dc.source | AUTONOMA | es_PE |
dc.subject | Proteins | es_PE |
dc.subject | Nanoparticles | es_PE |
dc.subject | Electrodynamics | es_PE |
dc.subject | Temperature | es_PE |
dc.subject | Biological system modeling | es_PE |
dc.subject | Ions | es_PE |
dc.subject | Mathematical models | es_PE |
dc.title | Proteins-Based Circuits in an Intelligent Internet of Bio-Nano Things Network for Molecular Diagnostic of Renal Damage | es_PE |
dc.type | info:eu-repo/semantics/article | es_PE |
dc.identifier.journal | 2021 Third International Conference on Transdisciplinary AI (TransAI) | es_PE |
dc.identifier.doi | https://doi.org/10.1109/TransAI51903.2021.00020 | |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#2.02.04 | es_PE |
dc.publisher.country | PE | es_PE |
dc.relation.url | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126208917&doi=10.1109%2fTransAI51903.2021.00020&partnerID=40 | es_PE |
dc.source.beginpage | 68 | es_PE |
dc.source.endpage | 71 | es_PE |