David A. E. Vares

Differentiation of Malignant Compared to Non-Malignant Cells by TheirBio-Photon Emissions May Only Require a Specific Filter around 500 nm

Emphasis upon early detection of malignant cellular growths rather than imaging could allow earlier intervention. Photon emissions from malignant cells even when they constitute a very small proportion of the normal organ has been shown to require a technical understanding of the spectral power density profiles that can be predicted by Cosic’s Molecular Resonance Recognition equation. Here we demonstrate experimentally a simpler more robust detection method involving specific filters of photon emissions from cells in culture. Photons from human pancreatic malignant cancer cells displayed conspicuously suppressed spikes of photons within a narrow band (500 nm) but not at 370 nm, 420 nm, 620 nm, 790 nm, or 950 nm increments compared to non-malignant human embryonic kidney cells. Given the recent demonstration that malignant cells can “store” photons within a specific wavelength when pulsed at the same pattern as a yoked magnetic field and re-emit the photons in this wavelength tens of minutes later, diminishment of power within specific 10 nm increments of visible wavelength spectra may serve as an early detection of imminent malignancy.

Spectral Power Densities and Whole Body Photon Emissions from Human Subjects Sitting in Hyper-darkness

The human body emits a continuous field of photons that may exhibit holographic-like properties. If this concept is applicable then the appropriate technology and quantitative methods would have the capacity to detect anomalous sources anywhere within the volume of the body. To discern the feasibility of this concept we tested the capacity of four photomultiplier units to discriminate the presence or absence of a human being within a hyperdark (10-12 W·m-2) small room specifically constructed for this purpose. Only 100 s of measurements of photon emissions (50 Hz sampling, 20 ms bins) were required to obtain 100% accurate discrimination. Spectral Power Densities (SPD) for the photon counts when human subjects were present or not present were sufficiently complex to allow potential discernment of different health states. Preliminary data have already suggested that this particular method has the potential to function as a sensi

Aggressive Human Behaviour Jerk from Geophysical and Solar Variables

Modern neuroscience suggests that all human experiences and behaviours are produced by brain function and this mass of cells is subject to the same physical and chemical phenomena as other systems. Intergroup conflicts involving death, manifested as group homicides or suicides, are frequent phenomena that are usually explained by social political variables. We explored the feasibility of employing the modern data bases containing precise daily geophysical variables to predict numbers of daily conflicts as inferred by the Integrated Conflict Early Warning System of the Global Database of Events, Language and Tone Project. Over an approximately 1.5 year interval when all values were present, multiple regression lag/lead analyses demonstrated a correlation of +0.38 between numbers of daily “fight” behaviour and the third derivative (“jerks”) of the earth’s rotation, global numbers of earthquakes between magnitude 3 and 4, and ground-based background photon emissions. These analyses demonstrate the concept in principle that easily accessible environmental data could be ancillary tools to anticipate “unexpected” behavior’s defined as terrorism. Thorough analyses from this perspective may reveal hidden variables within these data bases with even greater potential to predict.

Ultra-weak Photon Emissions Differentiate Malignant Cells from Non- Malignant Cells In Vitro

A fast, inexpensive, and accurate method for differentiating normal (non-malignant) cells from malignant cells could facilitate diagnosis and subsequently treatment. Although blood constituents are the current dominant indicators, we have found that Spectral Power Densities (SPD) obtained from only 100 s of measurements of spontaneous ultra-weak photon emissions (UPE) from cell cultures significantly differentiated malignant from non-malignant states. Breast cells were particularly differentiable from nonbreast cells according to their SPD profiles. More critically the combination of only 3 discrete frequency increment changes in SPD profiles accurately classified 85% of malignant breast cells from normal breast cells in culture. These results confirm results from our mouse experiments and preliminary observations from our human measurements that appropriately analyzed and interpreted SPD from very brief samples of UPE may be a viable tool for early detection of malignancy.