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[Music]

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hello everyone

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yeah i am da chingpio in the school of

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electrical and computer engineering in

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oklahoma state university and i'm

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delighted to present my

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some ideas that i have on the biophoton

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and the topic is spatial

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and the temporal coherences of a

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biophoton emission and what if they have

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a connection to consciousness

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so there

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biophoton is a pretty

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complex topic and i only want to

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[Music]

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project something and

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for

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biophotons of humans and there i think

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it started with so-called outro weak

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photon emission of live organisms it is

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covered by

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alexander garbage

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and it has some very special properties

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as we know of now

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first it's very weak

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so you need either the very highly

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sensitive

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photomultiplier tube or a very highly

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called

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ccd detector to detect them and

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if it's about maybe three orders of

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magnitude

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weaker than what our eyes can

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can sense

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and about

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peculiar uh properties that it's also

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pretty broadband i guess uh there may be

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more on the ultraviolet but there are

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indications that they could cover entire

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visible spectral range

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and it's spontaneous

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so but

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it's also showing that it's inducible

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and particularly and they're from there

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are living organisms that can be

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stressed so there are some nice patterns

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that you can see that is

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related to the change the variation of

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bio photons relates to the

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to the stress level and it's counting

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statistics it's also

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um just not like other other photon

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emissions so it's something that is

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strange

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and early on it was it had a lot of

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names tied to it but i guess

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professor pop and just coined the name

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of biophotons and i'm particularly

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interested in biophotons of humans

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so there

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there are quite a number of literatures

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that

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have shown some very conspicuous and the

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mysterious about the weak patterns of

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biophotons of humans and i think they

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need some kind of explanation there are

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some but there are a lot of stuff that

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needs to be explained

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one thing is the spatial pattern

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that means it's like acquired from whole

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body from a healthy

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people and a group in japan is

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particularly active on that and you can

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see this bio photon

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emissions from krc

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a human subject looks like the head and

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then solder this area it has i have more

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the biophoton activities

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so this is a special pattern and there

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is also

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quite several european groups and one

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group today also basically combined the

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measurements from human beings and then

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they showed this kind of uh

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special pattern of a biophoton that

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is more or less consistent if lower at

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one side it may be lower at the other

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side so something like this and

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according to

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this paper that the concept of a pattern

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was further studied by focusing on the

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emission gradient from low emission

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sites over the abdomen to high emission

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sites over the forehead and the palms of

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the head

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and essentially they referred to that as

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a common human anatomic percentage

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distribution emission pattern which

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means there are some very consistent

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patterns from heresy human being of this

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biophoton

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and this

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spatial pattern of

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biophotons they also show correlation

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interesting correlations you can call

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them at coherence for example this

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earlier work you see that at the

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baseline the right hand left hand there

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are biophotons this sim looks like they

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have similar phases but the one from her

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forehead

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it's shifted in phase a little bit

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when the human being is

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basically stressed with

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light and then you can see a significant

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change of biophotons and then there this

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is the delayed luminescence the right

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hand left hand they are still quite much

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in sync with each other the forehead had

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some phase shift

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so there is this kind of

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spatial patterns that are correlated

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with each other you might end it up with

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some phaser shift but they are one more

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or less correlated

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and here is another one that from the

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group they showed some changes of

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the biophotos

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associated with some disease conditions

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and this is

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scary losses case i don't know

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it didn't mention which hand they had

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the problem

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but another study from korea and showed

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that for the patient with

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a hemi process the one that biophoton is

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stronger at the

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normal side between the two hands

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and

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so this is left hemi process this is the

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right

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hemi process and you can see the higher

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biophoton

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emission from the more normal side so

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these are the special patterns

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associated with pathology so those are

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interesting difficult to to study

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difficult to duplicate about a very

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interesting

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on the other hand there are also

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some temporal patterns that are quite

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consistent and it has been repeated by

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multiple groups and again this is the

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japan group but they show that it's kind

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of the change of patterns

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in the morning in the afternoon it

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varies so it's kind of hours today long

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patterns diurnal patterns

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and here is over has been observed over

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a few days and they saw that this

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increase of the biophoton emission over

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a few days negatively correlates with

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the reduction of cortisol concentration

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in saliva

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and

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there are also another study that to

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show that this kind of variation over

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about

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a day or so and this is apparently it's

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some kind of sign of sorry though

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changes overlapped with some variations

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so something like this is very

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interesting

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and

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interesting but this one has spent much

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longer years it's a temporal pattern

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observed and then it's from a 2016 paper

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and that's

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a spontaneous biophoton emission

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measured at the acupuncture points of

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air i1 it's at the tip of this index

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finger

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and they basically measured over a large

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number of people and you can see this

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from about 10 years old all the way to

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75 years old and this photon counts

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again there for calibrating normalizing

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this would be a daunting task about

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there if this study it's

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very rel was very reliable then we can

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see that an increase of this biophoton

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emission from this acupuncture point

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and i would argue that okay so that it

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was for male that was for female so this

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part might be related to menopause and

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this

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apparently would be the starting of the

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purity so this kind of patterns are

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quite interesting

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but more interesting to this community

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might be the content the biophoton

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variations associated with

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their

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the consciousness of mind state and

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there are some studies we know of from

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that aerobic

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and then for their biophoton changes

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very

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conspicuous changes

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during the healing session

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and so how to explain this and also in

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japan there were

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many studies i

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count

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quite a lot of studies from this is list

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and to indicate that biophoton changes

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as a function of mental states

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concentration meditation the changes

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varies a lot and also i know that

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dr cruz's rhine research center also

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does this study and was trying and it's

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measuring the biophotons from energy

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helix which means there are some

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connections but

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but will meditation increase the

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biophoton or we are another altered

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state of consciousness needs to reduce

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biophoton so this are still not

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known

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so over here so we have essentially a

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matter that is a biophoton that can be

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measured it has a spatial distribution

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it has a temporal variation it has some

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kind of mind state related alteration

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and if so the

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theme of this conference is connection

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so

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the mind

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so under this mind as we know talk about

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consciousness but it's just too big a

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topic about the consciousness so we're

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both down to the state of mind the mind

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state of the mind will both down to

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how neurons fire how they connected

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eventually so that's

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but you can't i don't believe that the

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mind can be isolated from the neuron or

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firing or neural connections so

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eventually it might be some kind of

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autonomic modulation and this could

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indicate

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physiological impact pathological

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changes or some kind of psychology

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factors so we have this matter we have

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this mind and then how are they possibly

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connect here so that's that's

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what i'm very interested

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to find out

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so why what do we know about the

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biophoton so we have this biophoton over

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here which is a light emission and then

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i think it's almost established that

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this one got to related to mitochondria

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when the during the life the organism

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life will say oh when it's just

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take oxygen in and out and there is

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oxygen consumption so this kind of

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excited states and there was a nice

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review paper by european group so they

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put this together so we know that

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this happens this way although this is

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probably not a done deal but this

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explains most of the stuff so it's a

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kind of a multiple exciting stage

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transition it has this

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so it it is some kind of a broader band

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spectrum

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but

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how

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would our consciousness possibly play a

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role over here so that was the question

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that i would like to pursue

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and

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i in in my two papers published in last

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year and the series of paper i was

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trying to basically try to understand

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the biophoton emission from this decay

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the

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stress response perspective so

290
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i consider that okay this biophoton is

291
00:12:34,069 --> 00:12:31,200
detected

292
00:12:35,910 --> 00:12:34,079
and then by this biophoton come from

293
00:12:38,230 --> 00:12:35,920
somewhere you have to have somewhere to

294
00:12:39,750 --> 00:12:38,240
generate the mitochondria activity to

295
00:12:43,110 --> 00:12:39,760
generate the photons then the

296
00:12:45,829 --> 00:12:43,120
mitochondria the the respiration of

297
00:12:48,790 --> 00:12:45,839
oxidative activities might be controlled

298
00:12:51,670 --> 00:12:48,800
or affected by external stress but in

299
00:12:54,870 --> 00:12:51,680
human cases it might be controlled

300
00:12:58,710 --> 00:12:54,880
somehow by some neural autonomic

301
00:13:01,030 --> 00:12:58,720
neuronal activity so i consider this as

302
00:13:03,750 --> 00:13:01,040
so any change let's assume we have a

303
00:13:06,790 --> 00:13:03,760
consistent mitochondrial activity

304
00:13:09,509 --> 00:13:06,800
consistent stabilized steady state the

305
00:13:12,069 --> 00:13:09,519
biophoton and then any change of that

306
00:13:15,350 --> 00:13:12,079
will it has to come from somewhere it

307
00:13:17,590 --> 00:13:15,360
can might come from extraordinary stress

308
00:13:20,629 --> 00:13:17,600
but it might also come from our brain

309
00:13:24,790 --> 00:13:20,639
that's something to alter that so with

310
00:13:27,829 --> 00:13:24,800
that and then i put some basically i

311
00:13:31,269 --> 00:13:27,839
consider this is the final the photon

312
00:13:33,829 --> 00:13:31,279
detected and then it's got to start from

313
00:13:36,949 --> 00:13:33,839
somewhere within the tissue or often is

314
00:13:39,110 --> 00:13:36,959
a live organism and any change of that

315
00:13:41,269 --> 00:13:39,120
got to come from somewhere so there is

316
00:13:43,030 --> 00:13:41,279
going to have some kind of a transfer

317
00:13:45,189 --> 00:13:43,040
pathway to

318
00:13:49,030 --> 00:13:45,199
transfer the stress

319
00:13:52,150 --> 00:13:49,040
to the final photon detection so i put

320
00:13:54,629 --> 00:13:52,160
out some models and try to model there

321
00:13:57,189 --> 00:13:54,639
eventually to get that hyperbolic

322
00:13:59,990 --> 00:13:57,199
pattern while you don't have to have

323
00:14:02,710 --> 00:14:00,000
that coherence whatsoever some kind of

324
00:14:05,829 --> 00:14:02,720
those poison it doesn't have to be there

325
00:14:07,910 --> 00:14:05,839
a hyperbolic pattern to reach this shape

326
00:14:08,710 --> 00:14:07,920
it can be something else

327
00:14:10,310 --> 00:14:08,720
so

328
00:14:12,470 --> 00:14:10,320
but with that

329
00:14:15,430 --> 00:14:12,480
understand so you can have different

330
00:14:17,910 --> 00:14:15,440
stresses like the photic chemical and

331
00:14:21,910 --> 00:14:17,920
different stresses about the what about

332
00:14:25,269 --> 00:14:21,920
if this change of this the photon

333
00:14:28,150 --> 00:14:25,279
generation could be measured as a

334
00:14:29,750 --> 00:14:28,160
variation of a biophoton actually what

335
00:14:31,269 --> 00:14:29,760
if that

336
00:14:34,389 --> 00:14:31,279
comes from

337
00:14:37,189 --> 00:14:34,399
our neuronal modulation

338
00:14:40,870 --> 00:14:37,199
what if our consciousness can change

339
00:14:42,710 --> 00:14:40,880
that so if that's the case and then if

340
00:14:45,430 --> 00:14:42,720
we know what's going on there and then

341
00:14:47,189 --> 00:14:45,440
there is a pathway then we can correlate

342
00:14:49,430 --> 00:14:47,199
with the measurement

343
00:14:52,790 --> 00:14:49,440
so but in order to do that we have to

344
00:14:55,189 --> 00:14:52,800
have some currency as jane and the door

345
00:14:56,870 --> 00:14:55,199
and in there that's the subjectivity of

346
00:14:58,870 --> 00:14:56,880
the science they mentioned you just have

347
00:15:01,509 --> 00:14:58,880
to mint your own coins

348
00:15:04,310 --> 00:15:01,519
so i try to do something like that by

349
00:15:06,790 --> 00:15:04,320
doing this so here so i came up with

350
00:15:09,269 --> 00:15:06,800
something so first so this basically

351
00:15:11,829 --> 00:15:09,279
tells you that when we are at the birth

352
00:15:14,230 --> 00:15:11,839
or our neurons are fully intact we have

353
00:15:16,550 --> 00:15:14,240
a hundred percent intact neurons when

354
00:15:19,430 --> 00:15:16,560
i'm dead my neurons are done zero

355
00:15:21,110 --> 00:15:19,440
percent so this is the objective from

356
00:15:23,750 --> 00:15:21,120
zero to one

357
00:15:27,110 --> 00:15:23,760
and also let's assume all my 10 billion

358
00:15:29,430 --> 00:15:27,120
neurons they all do things in completely

359
00:15:31,269 --> 00:15:29,440
synchronicity basically they're all

360
00:15:33,990 --> 00:15:31,279
coherent and then i'm going to reach the

361
00:15:36,629 --> 00:15:34,000
maximum coherence but if my brain my

362
00:15:38,870 --> 00:15:36,639
neurons are completely out of phase they

363
00:15:41,350 --> 00:15:38,880
are just completely random then i'm

364
00:15:42,949 --> 00:15:41,360
going to be at this zero state so i call

365
00:15:46,310 --> 00:15:42,959
this a degree of a neuronal

366
00:15:48,550 --> 00:15:46,320
synchronization of neuronal coherence

367
00:15:50,949 --> 00:15:48,560
here is another one and then those are

368
00:15:53,670 --> 00:15:50,959
objective measure and then i also

369
00:15:56,230 --> 00:15:53,680
somehow basically all the neuron firing

370
00:15:58,550 --> 00:15:56,240
spectrum can be put together as some

371
00:16:02,069 --> 00:15:58,560
kind of energy density so you put them

372
00:16:04,790 --> 00:16:02,079
all together it's an objective energy

373
00:16:07,030 --> 00:16:04,800
density term i came up with a so-called

374
00:16:10,150 --> 00:16:07,040
i call it the vivo energy which is

375
00:16:11,030 --> 00:16:10,160
actually energy density joule per

376
00:16:13,189 --> 00:16:11,040
uh

377
00:16:16,150 --> 00:16:13,199
cubic centimeter stuff

378
00:16:19,110 --> 00:16:16,160
but the reason i'm putting this is that

379
00:16:22,470 --> 00:16:19,120
if this one is related to our neuronal

380
00:16:25,350 --> 00:16:22,480
activity and then when at the birth it's

381
00:16:28,389 --> 00:16:25,360
essentially it's a measure of how orders

382
00:16:30,870 --> 00:16:28,399
our neuronal activity is so

383
00:16:33,110 --> 00:16:30,880
when i was just born i should have been

384
00:16:34,629 --> 00:16:33,120
in that optimum condition

385
00:16:36,550 --> 00:16:34,639
but as

386
00:16:39,269 --> 00:16:36,560
people grow there it's going to be

387
00:16:43,509 --> 00:16:39,279
modulated by this physiology which is a

388
00:16:45,590 --> 00:16:43,519
systematic change and then if i got i my

389
00:16:48,470 --> 00:16:45,600
leg doesn't work well which means i have

390
00:16:50,949 --> 00:16:48,480
some pathological factors moving in and

391
00:16:53,350 --> 00:16:50,959
then but if in the programming

392
00:16:55,590 --> 00:16:53,360
parenthesis cases which means your

393
00:16:57,509 --> 00:16:55,600
neuron will be able to control certain

394
00:17:00,629 --> 00:16:57,519
part of the body but not the other part

395
00:17:03,269 --> 00:17:00,639
of the body so basically over here this

396
00:17:05,429 --> 00:17:03,279
is the the brush state that is a

397
00:17:08,870 --> 00:17:05,439
physiology systematic that is a

398
00:17:11,829 --> 00:17:08,880
pathology and this is a neuronal control

399
00:17:14,630 --> 00:17:11,839
so i'm putting them all together but

400
00:17:17,189 --> 00:17:14,640
there was i came up with a very nice

401
00:17:19,990 --> 00:17:17,199
article to tell this basically this is

402
00:17:22,949 --> 00:17:20,000
essentially a life expectancy

403
00:17:26,150 --> 00:17:22,959
so maybe this is a good way to describe

404
00:17:28,710 --> 00:17:26,160
how our this combined that is i call

405
00:17:31,590 --> 00:17:28,720
that the vivo energy energy density

406
00:17:35,190 --> 00:17:31,600
changes over this lifetime at the burst

407
00:17:37,990 --> 00:17:35,200
is this much but as we grow we're just

408
00:17:41,110 --> 00:17:38,000
going to get lower and lower when we get

409
00:17:45,029 --> 00:17:41,120
to this zero that means we're done

410
00:17:46,789 --> 00:17:45,039
but this change can be modulated by

411
00:17:50,789 --> 00:17:46,799
systematic

412
00:17:54,310 --> 00:17:50,799
physiology just a normal metabolism

413
00:17:57,270 --> 00:17:54,320
and but so it will basically oscillate

414
00:18:00,390 --> 00:17:57,280
like that with respect to this change

415
00:18:02,390 --> 00:18:00,400
but if there is a pathological condition

416
00:18:05,669 --> 00:18:02,400
then it's going to further there's the

417
00:18:08,310 --> 00:18:05,679
lower this one and this one gets zero

418
00:18:11,270 --> 00:18:08,320
earlier which means the people die early

419
00:18:13,110 --> 00:18:11,280
so it's just kind of a quantitative way

420
00:18:14,390 --> 00:18:13,120
try to give me a hand

421
00:18:15,350 --> 00:18:14,400
for sure

422
00:18:18,710 --> 00:18:15,360
but

423
00:18:22,390 --> 00:18:18,720
i consider that the chance to cause

424
00:18:25,110 --> 00:18:22,400
metabolic changes so here is basically a

425
00:18:27,669 --> 00:18:25,120
physiological change of that the energy

426
00:18:30,070 --> 00:18:27,679
state it's a pathological change of

427
00:18:33,909 --> 00:18:30,080
energy state and then i introduced the

428
00:18:36,230 --> 00:18:33,919
so-called physiological transfer

429
00:18:38,710 --> 00:18:36,240
factor pathological transfer fact the

430
00:18:42,230 --> 00:18:38,720
reason is to make this a conversion such

431
00:18:43,110 --> 00:18:42,240
that i have a light intensity to work

432
00:18:46,230 --> 00:18:43,120
with

433
00:18:48,870 --> 00:18:46,240
so here i have a systematic light i have

434
00:18:51,270 --> 00:18:48,880
a pathological light and a systematic

435
00:18:54,549 --> 00:18:51,280
light is a felicity so i consider that

436
00:18:56,549 --> 00:18:54,559
as just to make it simple i cannot work

437
00:18:59,669 --> 00:18:56,559
on something like that just starting

438
00:19:01,750 --> 00:18:59,679
with the simple cases a simple the bio

439
00:19:04,070 --> 00:19:01,760
photon light source in the middle of my

440
00:19:06,150 --> 00:19:04,080
body and if you're pathological it could

441
00:19:08,789 --> 00:19:06,160
be anywhere in the body

442
00:19:12,150 --> 00:19:08,799
so but by doing this then have to do

443
00:19:15,029 --> 00:19:12,160
something with the standard the the

444
00:19:16,870 --> 00:19:15,039
engineering terms and with boundary

445
00:19:18,789 --> 00:19:16,880
conditions highlight the problem is

446
00:19:21,350 --> 00:19:18,799
intuition but with all the things are

447
00:19:22,630 --> 00:19:21,360
taken care of actually i was able to

448
00:19:25,190 --> 00:19:22,640
calculate

449
00:19:27,669 --> 00:19:25,200
uh there is a very small

450
00:19:29,750 --> 00:19:27,679
in this case it is a normal

451
00:19:32,150 --> 00:19:29,760
normal human

452
00:19:35,830 --> 00:19:32,160
model which means it is a pathology this

453
00:19:39,350 --> 00:19:35,840
term is zero so a heresy source over

454
00:19:41,669 --> 00:19:39,360
here to emit the voltage and then so i'm

455
00:19:45,590 --> 00:19:41,679
going so this one is associated with

456
00:19:48,390 --> 00:19:45,600
only 0.01 micro watts of source right in

457
00:19:51,029 --> 00:19:48,400
the middle about this big

458
00:19:53,029 --> 00:19:51,039
bigger than my brain and then the light

459
00:19:55,830 --> 00:19:53,039
intensity that you can measure at the

460
00:19:57,990 --> 00:19:55,840
surface is actually 10 to the negative

461
00:19:59,830 --> 00:19:58,000
of 14 watts per centimeter square as

462
00:20:02,630 --> 00:19:59,840
actually it's consistent with the bio

463
00:20:04,710 --> 00:20:02,640
photon measured from human surface

464
00:20:07,830 --> 00:20:04,720
so try to get to there

465
00:20:11,669 --> 00:20:07,840
but then so when this

466
00:20:14,470 --> 00:20:11,679
i'm not inferring that this is over but

467
00:20:17,750 --> 00:20:14,480
i'm just saying that something like this

468
00:20:18,710 --> 00:20:17,760
can be interpolated as some aura like a

469
00:20:23,430 --> 00:20:18,720
hills

470
00:20:26,230 --> 00:20:23,440
that will cover the human being so so i

471
00:20:29,190 --> 00:20:26,240
don't know what aura is but if this is

472
00:20:31,149 --> 00:20:29,200
one presentation of a bio energy and

473
00:20:33,510 --> 00:20:31,159
then there is a way to try to

474
00:20:36,310 --> 00:20:33,520
quantitatively model it

475
00:20:39,029 --> 00:20:36,320
and then let's assume this is a healthy

476
00:20:42,390 --> 00:20:39,039
person under just the normal

477
00:20:44,470 --> 00:20:42,400
physiological therapy physiology and

478
00:20:48,149 --> 00:20:44,480
then in uh

479
00:20:50,789 --> 00:20:48,159
by the environmental change will cause

480
00:20:53,110 --> 00:20:50,799
uh we are just through our auto

481
00:20:55,750 --> 00:20:53,120
autonomic neuronal control uh

482
00:20:58,470 --> 00:20:55,760
sympathetic control whatsoever it's

483
00:21:00,789 --> 00:20:58,480
going to change this metabolism so this

484
00:21:03,110 --> 00:21:00,799
metabolism let's assume that it is a

485
00:21:04,070 --> 00:21:03,120
source just oscillates a little bit over

486
00:21:05,430 --> 00:21:04,080
a day

487
00:21:08,630 --> 00:21:05,440
and then

488
00:21:11,029 --> 00:21:08,640
so if this oscillates this surface

489
00:21:13,190 --> 00:21:11,039
measurable it's going to oscillate so

490
00:21:16,310 --> 00:21:13,200
it's going to get something so i was

491
00:21:18,789 --> 00:21:16,320
able to just by also changing this

492
00:21:21,669 --> 00:21:18,799
source a little bit i just can get this

493
00:21:24,230 --> 00:21:21,679
apparently if you add more variations

494
00:21:26,149 --> 00:21:24,240
you're going to get something like that

495
00:21:28,070 --> 00:21:26,159
so mimic that one

496
00:21:29,029 --> 00:21:28,080
but on the other hand

497
00:21:32,630 --> 00:21:29,039
so

498
00:21:36,310 --> 00:21:32,640
what if you have a much longer change

499
00:21:40,149 --> 00:21:36,320
for example over 70 years of change and

500
00:21:42,310 --> 00:21:40,159
you can see in my model i consider the

501
00:21:44,470 --> 00:21:42,320
change of this

502
00:21:46,630 --> 00:21:44,480
my vivo energy term

503
00:21:49,909 --> 00:21:46,640
the change cause

504
00:21:51,990 --> 00:21:49,919
the transfer to the this one which means

505
00:21:53,909 --> 00:21:52,000
the higher of this value doesn't mean

506
00:21:55,669 --> 00:21:53,919
stronger of the source it's the bigger

507
00:21:58,470 --> 00:21:55,679
of the change because the stronger of

508
00:22:01,190 --> 00:21:58,480
the emission so throughout this is a

509
00:22:04,070 --> 00:22:01,200
slow the slope goes deeper which means

510
00:22:07,029 --> 00:22:04,080
you're going to see a stronger change

511
00:22:10,310 --> 00:22:07,039
so by using that ingredient and then

512
00:22:14,549 --> 00:22:10,320
over this there are these years i was

513
00:22:16,549 --> 00:22:14,559
able to just mimic these chains and then

514
00:22:18,630 --> 00:22:16,559
there are women's they are more they

515
00:22:21,190 --> 00:22:18,640
have more fat so even though you have

516
00:22:23,830 --> 00:22:21,200
the same life you get less

517
00:22:26,070 --> 00:22:23,840
at the surface or they may be

518
00:22:29,029 --> 00:22:26,080
lighter so they have a less total volume

519
00:22:33,830 --> 00:22:29,039
just by tweaking of those and they can

520
00:22:36,149 --> 00:22:33,840
can i can mimic this one but so uh

521
00:22:39,110 --> 00:22:36,159
so but i didn't i didn't i didn't

522
00:22:41,110 --> 00:22:39,120
include that part certainly for a model

523
00:22:43,270 --> 00:22:41,120
in itself or should they be able to make

524
00:22:45,190 --> 00:22:43,280
it something like that

525
00:22:47,909 --> 00:22:45,200
so but the one thing that i would like

526
00:22:50,310 --> 00:22:47,919
to specially indicate is that because

527
00:22:53,029 --> 00:22:50,320
i'm using a gradient that means using a

528
00:22:55,190 --> 00:22:53,039
change to convert that to bio folder

529
00:22:56,390 --> 00:22:55,200
which means let's assume at the very end

530
00:22:59,029 --> 00:22:56,400
of the life

531
00:23:00,549 --> 00:22:59,039
even though the this amplitude is very

532
00:23:03,750 --> 00:23:00,559
small but you're talking about the

533
00:23:06,470 --> 00:23:03,760
sudden stop of that little whatever

534
00:23:07,430 --> 00:23:06,480
energy state you want to cause it that's

535
00:23:09,830 --> 00:23:07,440
going to

536
00:23:12,070 --> 00:23:09,840
cause a very big change

537
00:23:15,830 --> 00:23:12,080
and this very big change could in

538
00:23:19,510 --> 00:23:15,840
principle give you a very strong sudden

539
00:23:22,470 --> 00:23:19,520
burst of biophoton which means it

540
00:23:24,789 --> 00:23:22,480
potentially can explain

541
00:23:28,549 --> 00:23:24,799
some anecdotal

542
00:23:31,350 --> 00:23:28,559
the burst of flare of flesh observed by

543
00:23:33,230 --> 00:23:31,360
the end of the life

544
00:23:35,750 --> 00:23:33,240
so i'm just trying to through this

545
00:23:38,149 --> 00:23:35,760
responsibility and

546
00:23:41,029 --> 00:23:38,159
just so to for people to think about

547
00:23:43,190 --> 00:23:41,039
whether this is possible or not

548
00:23:46,390 --> 00:23:43,200
on the other hand here is another one

549
00:23:49,510 --> 00:23:46,400
there was a study by mice model of for

550
00:23:51,990 --> 00:23:49,520
under human breast cancer and they they

551
00:23:54,070 --> 00:23:52,000
showed us that so here is the mice and

552
00:23:56,950 --> 00:23:54,080
the tumor at the right side and as the

553
00:23:59,590 --> 00:23:56,960
tumor grows and then biofuels emission

554
00:24:02,390 --> 00:23:59,600
increases which is original because the

555
00:24:05,669 --> 00:24:02,400
tumor load is higher than oxygen

556
00:24:08,470 --> 00:24:05,679
the oxidative stress is stronger so

557
00:24:10,149 --> 00:24:08,480
increases and then but the normal side

558
00:24:11,430 --> 00:24:10,159
contralaterals have ought to increase a

559
00:24:15,750 --> 00:24:11,440
little bit

560
00:24:18,630 --> 00:24:15,760
so by this one i basically i had uh here

561
00:24:21,510 --> 00:24:18,640
see their their their systematic source

562
00:24:24,230 --> 00:24:21,520
over here but i also put a pathological

563
00:24:25,830 --> 00:24:24,240
source right over here and then i try to

564
00:24:29,029 --> 00:24:25,840
increase

565
00:24:31,990 --> 00:24:29,039
this the source intensity according to

566
00:24:32,950 --> 00:24:32,000
exponential growth of the tumor so by

567
00:24:35,830 --> 00:24:32,960
doing

568
00:24:38,149 --> 00:24:35,840
that away and then actually so basically

569
00:24:41,190 --> 00:24:38,159
this one remains unchanged by this

570
00:24:43,750 --> 00:24:41,200
pathological source it increases in

571
00:24:46,310 --> 00:24:43,760
strength by that way the overall

572
00:24:49,510 --> 00:24:46,320
biophoton that you can observe on the

573
00:24:51,990 --> 00:24:49,520
surface increase at the right side and

574
00:24:54,390 --> 00:24:52,000
then at this counter lateral side it

575
00:24:57,029 --> 00:24:54,400
also can be increased a little bit so

576
00:24:59,430 --> 00:24:57,039
this pattern actually agrees with

577
00:25:01,990 --> 00:24:59,440
with that one so these are the ways that

578
00:25:03,110 --> 00:25:02,000
i can use and try to

579
00:25:05,750 --> 00:25:03,120
model

580
00:25:06,950 --> 00:25:05,760
the chains and again those there are

581
00:25:09,990 --> 00:25:06,960
source

582
00:25:12,149 --> 00:25:10,000
bio photons that they can be linked to

583
00:25:13,510 --> 00:25:12,159
that they need to be linked to the mind

584
00:25:15,190 --> 00:25:13,520
consciousness

585
00:25:17,110 --> 00:25:15,200
there is another one that is very

586
00:25:20,549 --> 00:25:17,120
interesting that is potentially

587
00:25:23,750 --> 00:25:20,559
interesting which is in 2016 there was a

588
00:25:27,029 --> 00:25:23,760
very there was a study published in pnas

589
00:25:29,269 --> 00:25:27,039
that is very controversial which they

590
00:25:31,909 --> 00:25:29,279
mentioned human high intelligence is

591
00:25:34,070 --> 00:25:31,919
involved in spectral rather shift of

592
00:25:37,190 --> 00:25:34,080
biophoton activities

593
00:25:39,830 --> 00:25:37,200
why which means that the different

594
00:25:42,149 --> 00:25:39,840
levels of consciousness or intelligence

595
00:25:43,430 --> 00:25:42,159
might change the spectral contents of

596
00:25:46,549 --> 00:25:43,440
biofilter

597
00:25:48,390 --> 00:25:46,559
and how that measurement was done with

598
00:25:50,390 --> 00:25:48,400
the specimens but

599
00:25:53,750 --> 00:25:50,400
something like this probably have never

600
00:25:55,990 --> 00:25:53,760
been observed in the live subject but

601
00:25:58,870 --> 00:25:56,000
would it be possible if this is a

602
00:26:02,710 --> 00:25:58,880
possible how we could explain that

603
00:26:05,350 --> 00:26:02,720
while i would say that so this biophoton

604
00:26:07,590 --> 00:26:05,360
whether it's its organism and then

605
00:26:10,549 --> 00:26:07,600
you're going to have a different kinds

606
00:26:13,110 --> 00:26:10,559
of transitions to cause a different

607
00:26:16,470 --> 00:26:13,120
this spectral bands

608
00:26:18,710 --> 00:26:16,480
and so a change in the in relative

609
00:26:19,909 --> 00:26:18,720
intensity of the spectral bands will

610
00:26:25,590 --> 00:26:19,919
change

611
00:26:27,590 --> 00:26:25,600
will cause a rather shift of blue shift

612
00:26:30,470 --> 00:26:27,600
but in my

613
00:26:33,110 --> 00:26:30,480
model i have this eventually when this

614
00:26:35,190 --> 00:26:33,120
one converts to lighter source over here

615
00:26:37,750 --> 00:26:35,200
i have this charge for factor actually

616
00:26:40,470 --> 00:26:37,760
they can be wavelength dependent by

617
00:26:43,350 --> 00:26:40,480
doing that by manipulating with this one

618
00:26:44,549 --> 00:26:43,360
actually it's possible to model the

619
00:26:45,350 --> 00:26:44,559
difference

620
00:26:46,149 --> 00:26:45,360
of

621
00:26:47,029 --> 00:26:46,159
the

622
00:26:50,070 --> 00:26:47,039
uh

623
00:26:53,029 --> 00:26:50,080
spectrum individual spectra and the

624
00:26:55,350 --> 00:26:53,039
spectral contents that could somehow

625
00:26:58,149 --> 00:26:55,360
correlate with different states

626
00:27:01,430 --> 00:26:58,159
different levels of intelligence

627
00:27:03,590 --> 00:27:01,440
and so and then that will can in

628
00:27:06,470 --> 00:27:03,600
principle can lead to

629
00:27:10,789 --> 00:27:06,480
modeling the spectral shift

630
00:27:13,590 --> 00:27:10,799
so overall so what could this

631
00:27:15,830 --> 00:27:13,600
approach possibly lead to i would say i

632
00:27:18,789 --> 00:27:15,840
would like to provide a path of

633
00:27:20,470 --> 00:27:18,799
quantitative means for correlating

634
00:27:23,430 --> 00:27:20,480
observations

635
00:27:24,710 --> 00:27:23,440
so let's assume biophoton activities

636
00:27:27,430 --> 00:27:24,720
it can

637
00:27:30,549 --> 00:27:27,440
because of this oxidative

638
00:27:32,310 --> 00:27:30,559
stress it can be correlated with our

639
00:27:36,269 --> 00:27:32,320
neural activities

640
00:27:38,950 --> 00:27:36,279
cause

641
00:27:41,350 --> 00:27:38,960
neurophysiological patterns that are eeg

642
00:27:43,909 --> 00:27:41,360
patterns or some other patterns it

643
00:27:45,830 --> 00:27:43,919
should be observable so they therefore

644
00:27:49,269 --> 00:27:45,840
they all come from this there should

645
00:27:51,510 --> 00:27:49,279
have a pass through neuroscience models

646
00:27:54,789 --> 00:27:51,520
and try to make a connection between

647
00:27:57,510 --> 00:27:54,799
these but if that's the cases and then

648
00:27:59,750 --> 00:27:57,520
alter the state of consciousness should

649
00:28:01,590 --> 00:27:59,760
also be

650
00:28:04,870 --> 00:28:01,600
kind of open

651
00:28:05,990 --> 00:28:04,880
open to modeling which will be very very

652
00:28:07,510 --> 00:28:06,000
difficult

653
00:28:10,789 --> 00:28:07,520
however

654
00:28:14,230 --> 00:28:10,799
will there be a way to connect some

655
00:28:15,269 --> 00:28:14,240
kind of basically the strength of

656
00:28:18,310 --> 00:28:15,279
their

657
00:28:20,789 --> 00:28:18,320
alter the state of consciousness how far

658
00:28:23,830 --> 00:28:20,799
away from the normal state of

659
00:28:26,789 --> 00:28:23,840
consciousness along this way and the how

660
00:28:28,870 --> 00:28:26,799
strong the observations that we can we

661
00:28:32,389 --> 00:28:28,880
can measure either biophoton or

662
00:28:34,950 --> 00:28:32,399
neurophysical patterns that is abnormal

663
00:28:37,110 --> 00:28:34,960
and there so can we make a call relation

664
00:28:39,269 --> 00:28:37,120
between them and then then we will have

665
00:28:43,029 --> 00:28:39,279
more tools more information more

666
00:28:45,909 --> 00:28:43,039
parameters to understand their their

667
00:28:47,750 --> 00:28:45,919
phenomenons that are difficult to do and

668
00:28:50,710 --> 00:28:47,760
for doing that i actually have another

669
00:28:53,750 --> 00:28:50,720
paper coming out in september in physics

670
00:28:56,710 --> 00:28:53,760
essays i'm trying to use some additional

671
00:28:59,590 --> 00:28:56,720
ways of neural and basically something

672
00:29:02,389 --> 00:28:59,600
related to modeling neuronal activity

673
00:29:05,190 --> 00:29:02,399
not yet there but how try to work with

674
00:29:07,750 --> 00:29:05,200
some quantum mechanics not bothering too

675
00:29:09,750 --> 00:29:07,760
much of quantum mechanics and then try

676
00:29:10,789 --> 00:29:09,760
how to get there

677
00:29:12,710 --> 00:29:10,799
and

678
00:29:16,149 --> 00:29:12,720
to summarize

679
00:29:19,190 --> 00:29:16,159
and uh i basically i would project there

680
00:29:21,029 --> 00:29:19,200
are some patterns of human biofuels

681
00:29:22,789 --> 00:29:21,039
emissions of humans they could be

682
00:29:25,990 --> 00:29:22,799
spatial they could be temporal they

683
00:29:29,029 --> 00:29:26,000
could be spectral i consider that there

684
00:29:31,029 --> 00:29:29,039
might be a path to connect those

685
00:29:34,230 --> 00:29:31,039
patterns with our

686
00:29:37,269 --> 00:29:34,240
neuronal activity uh

687
00:29:38,230 --> 00:29:37,279
in the in the fundamental side and then

688
00:29:41,350 --> 00:29:38,240
those

689
00:29:43,510 --> 00:29:41,360
particularly the biophoton emission and

690
00:29:45,269 --> 00:29:43,520
of humans and other states of

691
00:29:46,870 --> 00:29:45,279
consciousness even though we have very

692
00:29:50,310 --> 00:29:46,880
limited data

693
00:29:52,870 --> 00:29:50,320
and in order to reconcile those patterns

694
00:29:55,590 --> 00:29:52,880
and my need to have

695
00:29:57,510 --> 00:29:55,600
a way to regular use the

696
00:30:00,870 --> 00:29:57,520
some way to

697
00:30:03,990 --> 00:30:00,880
let the neuronal modulation to regulate

698
00:30:05,269 --> 00:30:04,000
the photogenic process of a biophoton

699
00:30:08,230 --> 00:30:05,279
emission so

700
00:30:10,789 --> 00:30:08,240
make that a pass in order to connect

701
00:30:13,909 --> 00:30:10,799
between what we can measure

702
00:30:16,710 --> 00:30:13,919
from the object object like a biophotons

703
00:30:19,510 --> 00:30:16,720
and then what we can actually correlate

704
00:30:22,149 --> 00:30:19,520
with the neuronal activity like

705
00:30:24,149 --> 00:30:22,159
eeg patterns and i would like to point

706
00:30:28,230 --> 00:30:24,159
specifically to a study published in

707
00:30:31,190 --> 00:30:28,240
jscc in 2017 that the micro pk study in

708
00:30:33,070 --> 00:30:31,200
brazil and they mentioned that during

709
00:30:36,950 --> 00:30:33,080
the occurrence of a pk there are

710
00:30:40,149 --> 00:30:36,960
substantial change intense burst or for

711
00:30:42,389 --> 00:30:40,159
eeg patterns like that over here so

712
00:30:46,710 --> 00:30:42,399
something like this if you want to know

713
00:30:49,750 --> 00:30:46,720
more i think the path is to try to have

714
00:30:52,149 --> 00:30:49,760
implemented ways try to connect and have

715
00:30:55,350 --> 00:30:52,159
a neuroscience model to eventually

716
00:30:57,909 --> 00:30:55,360
bridge between eeg or neurophysiology

717
00:31:01,389 --> 00:30:57,919
patterns with the patterns that

718
00:31:02,950 --> 00:31:01,399
fall within the ssc and then

719
00:31:06,549 --> 00:31:02,960
parapsychology

720
00:31:09,750 --> 00:31:06,559
this domain so we can make a definitive

721
00:31:12,149 --> 00:31:09,760
correlation either from the intensity of

722
00:31:14,789 --> 00:31:12,159
the map that we can measure or from

723
00:31:17,190 --> 00:31:14,799
energy perspective or from maybe entropy

724
00:31:19,830 --> 00:31:17,200
perspective we ought to make that

725
00:31:22,630 --> 00:31:19,840
connection in order to

726
00:31:23,990 --> 00:31:22,640
deepen our understanding of

727
00:31:25,080 --> 00:31:24,000
those

728
00:31:26,230 --> 00:31:25,090
patterns that

729
00:31:28,549 --> 00:31:26,240
[Music]

730
00:31:29,830 --> 00:31:28,559
definitely will relate to consciousness

731
00:31:30,710 --> 00:31:29,840
about

732
00:31:33,430 --> 00:31:30,720
what

733
00:31:34,710 --> 00:31:33,440
is their true relationship