{"title":"Engineering Photodynamic with Radioactive Therapeutic Systems for Sustainable Molecular Polarity: Autopoiesis Systems","authors":"Moustafa Osman Mohammed","volume":162,"journal":"International Journal of Energy and Environmental Engineering","pagesStart":167,"pagesEnd":181,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10011260","abstract":"
This paper introduces Luhmann’s autopoietic social systems starting with the original concept of autopoiesis by biologists and scientists, including the modification of general systems based on socialized medicine. A specific type of autopoietic system is explained in the three existing groups of the ecological phenomena: interaction, social and medical sciences. This hypothesis model, nevertheless, has a nonlinear interaction with its natural environment ‘interactional cycle’ for the exchange of photon energy with molecular without any changes in topology. The external forces in the systems environment might be concomitant with the natural fluctuations’ influence (e.g. radioactive radiation, electromagnetic waves). The cantilever sensor deploys insights to the future chip processor for prevention of social metabolic systems. Thus, the circuits with resonant electric and optical properties are prototyped on board as an intra–chip inter–chip transmission for producing electromagnetic energy approximately ranges from 1.7 mA at 3.3 V to service the detection in locomotion with the least significant power losses. Nowadays, therapeutic systems are assimilated materials from embryonic stem cells to aggregate multiple functions of the vessels nature de-cellular structure for replenishment. While, the interior actuators deploy base-pair complementarity of nucleotides for the symmetric arrangement in particular bacterial nanonetworks of the sequence cycle creating double-stranded DNA strings. The DNA strands must be sequenced, assembled, and decoded in order to reconstruct the original source reliably. The design of exterior actuators have the ability in sensing different variations in the corresponding patterns regarding beat-to-beat heart rate variability (HRV) for spatial autocorrelation of molecular communication, which consists of human electromagnetic, piezoelectric, electrostatic and electrothermal energy to monitor and transfer the dynamic changes of all the cantilevers simultaneously in real-time workspace with high precision. A prototype-enabled dynamic energy sensor has been investigated in the laboratory for inclusion of nanoscale devices in the architecture with a fuzzy logic control for detection of thermal and electrostatic changes with optoelectronic devices to interpret uncertainty associated with signal interference. Ultimately, the controversial aspect of molecular frictional properties is adjusted to each other and forms its unique spatial structure modules for providing the environment mutual contribution in the investigation of mass temperature changes due to pathogenic archival architecture of clusters.<\/p>\r\n","references":"[1]\tWagner V, Dullaart A, Bock AK, Zweck A, (2006) \u201cThe Emerging Nanomedicine Landscape\u201d, Nat Biotechnol, Vol. 10: pp. 1211\u20131217, 2006.\r\n[2]\tAbhilash M, (2010) \u201cNanorobots\u201d, International Journal of Pharma and Bio Sciences Vol. 1 (1): pp. 1\uf02d10, 2010.\r\n[3]\tBarbosa G, Silva P A F, Luz G V S and Brasil L M, (2015) \u201cNanotechnology Applied in Drug Delivery\u201d, In World Congress on Medical Physics and Biomedical Engineering 51st Edition, Toronto, Canad\u00e1: Springer International Publishing Switzerland, Physics Letters, Vol. 89 (23): pp. 9\u201311, 2015. \r\n[4]\tVettiger P, Cross G, Despont M, Drechsler, D\u00fcrig U, Gotsmann B, H\u00e4berle W, Lantz M A, Rothuizen H E, Stutz R and Binnig G K, (2002), \u201cThe Millipede Nanotechnology Entering Data Storage\u201d, IEEE Transactions on Nanotechnology, Vol. 1 (1): pp. 39\uf02d55, 2002.\r\n[5]\tSonghua Xiaoa, Daoyou Zhou, Ping Luan, Beibei Gu, Longbao Feng, Shengnuo Fan, Wang Liao, Wenli Fang, Lianhong Yang, Enxiang Tao, Rui Guo, Jun Liu, (2016) \u201cGraphene quantum dots conjugated neuroprotective peptide improve learning and memory capability\u201d, Biomaterials, Vol. 106: pp. 98\u2013110, November, 2016.\r\n[6]\tJi X, Pen F, Zhong Y, Su Y, He Y, (2014) \u201cFluorescent quantum dots: synthesis, biomedical optical imaging, and biosafety assessment\u201d, Colloids Surf B Biointerfaces, Vol. 124: pp. 132\u2013139, 2014.\r\n[7]\tRocha T L, Mestre N C, Saboia-Morais S M T, Bebianno M J, (2017) \u201cEnviron\u00acmental behaviour and ecotoxicity of quantum dots at various trophic levels: a review\u201d, Environ Int., Vol. 98: pp. 1\u201317, 2017. \r\n[8]\tCaren, Neal and Aaron Panofski (2005) \u201cTQCA: A Technique for Adding Temporality to Qualitative Comparative Analysis\u201d, Sociological Methods and Research, Vol. 34(2): pp. 147-172, 2005. https:\/\/doi.org\/10.1177%2F0049124105277197\r\n[9]\tGiaretta A, Balasubramaniam S, and Conti M, (2016), \u201cSecurity Vulnerabilities and Countermeasures for Target Localization in Bio-Nano Things Communication Networks\u201d, in IEEE Transactions on Information Forensics and Security, Vol. 11 (4): pp. 665-676, April 2016.\r\n[10]\tChristopher G. 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