Photonic emissions of living and non-living matter

dc.contributor.authorCosta, Justin N.
dc.date.accessioned2017-07-13T15:21:44Z
dc.date.available2017-07-13T15:21:44Z
dc.date.issued2017-01-27
dc.description.abstractPhotons are known to be the product of electrochemical states of excitability. The interaction of photons between chemical and biological systems allows statistical methods to be employed to discern frequency- and time-dependent data. The present document demonstrates photon emissions sources attributed to chemical, biomolecular, and living and non-living tissues through theoretical and empirical photon counting measures. The results suggest that photon count intensity is statistically significant when measuring variance in volumes of matter. In addition, photon count measures when lagged between the cerebral hemisphere of human subject, display significant correlations. Spectral analyses revealed significant peak frequencies from living biological sources when exposed to incident photons and/or magnetic fields. The photon emissions from differing levels of discourse may exist to be used as energy sources responsible for the mechanisms that interact within open systems and their environments. Photons may reflect a form of communication within more complex aggregates of matter.en_CA
dc.description.degreeMaster of Science (MSc) in Biologyen_CA
dc.identifier.urihttps://laurentian.scholaris.ca/handle/10219/2770
dc.language.isoenen_CA
dc.publisher.grantorLaurentian University of Sudburyen_CA
dc.subjectPeriodic Elementsen_CA
dc.subjectFixed Human Brainen_CA
dc.subjectSpontaneous Photon Emissionsen_CA
dc.subject10-12 W·m-2en_CA
dc.subjectFlux Densityen_CA
dc.subjectHameroff-Penrose “Orch-OR Theory”en_CA
dc.subjectMachen_CA
dc.subjectKanten_CA
dc.subjectSpinozaen_CA
dc.subjectBiophotonsen_CA
dc.subjectQuantitative EEG (QEEG) Visualizationen_CA
dc.subjectCorpus Callosumen_CA
dc.subjectAharanov-Bohm Effecten_CA
dc.subjectCellular Aggregatesen_CA
dc.titlePhotonic emissions of living and non-living matteren_CA
dc.typeThesisen_CA

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