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Hideyuki Kokubo
International Research Institute
MATTER HAS PSI-RELATED
PROPERTY
AN APPLICATION OF
CUCUMBER SENSOR
EEG Change of Animal
Takeshige & Aoki reported
that a qigong master
succeeded to change EEG
of a rabbit (1994).
Takeshige C and Aoki T: Effect of artificial and human external qigong on electroencephalograms in rabbit and spontaneous
electrical activity of the rat pineal gland, Acupunct Electrother Res 19(2-3), 89-106, 1994.
Matter also changes EEG
Takeshige & Aoki also reported
that a qigong master gave his
power to a medal, then the
medal succeeded to change
EEG (1994).
medal
Power charge
Takeshige C and Aoki T: Effect of artificial and human external qigong on electroencephalograms in rabbit and spontaneous
electrical activity of the rat pineal gland, Acupunct Electrother Res 19(2-3), 89-106, 1994.
Tissue of Pineal Body
Takeshige & Aoki inserted a micro electro-probe into
pineal body of a rabbit, and measure electric activity
of the pineal body.
Pineal body reacts to direction of geomagnetism.
Takeshige C and Aoki T: Effect of artificial and human external qigong on electroencephalograms in rabbit and spontaneous electrical activity of the rat
pineal gland, Acupunct Electrother Res 19(2-3), 89-106, 1994.
Reactions against
geomagnetism
Reactions against ki (qi)
Reactions against ki (qi)
Takeshige C and Aoki T: Effect of artificial and human external qigong on electroencephalograms in
rabbit and spontaneous electrical activity of the rat pineal gland, Acupunct Electrother Res 19(2-3), 89-
106, 1994.
Reactions against
geomagnetism
Reactions against
artificial ki (qi) machine
Reactions against ki (qi)-medal which has
power charged by a qigong master.
Natural Killer cells
A master charged his power into PBS solution.
Next, the PBS solution is given to human NK
cells. NK cells were activated.
Activated
Power
charge
Not charged
NK cells
(Kataoka, Sugiyama, Matsumoto, 1997a, 1997b)
Not activated
Cells have ability to detect psi-related signals.
PBS
PBS
Application of Cucumber Sensor
• Other bio-sensors can detect or react to psi-related
signals even if such signals are generated from matter,
not only human.
• Cucumber sensors should be tested using psi-related
signals.
• Some innovators often ask me to measure their original
devices or items. They claim that their devices can emit
anomalous power which is similar to psi (ki).
For example:
1. Special drawings or patterns which are created by qigong masters.
2. CD disc, accessary, stone, etc. which are charged by healer’s
power.
3. Metal sticks, rods, and machines which are created in order to
emit artificial ki-power.
A Sample: Metal Rod
Official report is uploaded as open access PDF by the Daiya Systems, Ltd., Japan.
http://www.daiyasystems.jp/commodity_html/commodity_photo/houkokushyo.pdf
Daiya Systems, Ltd. has
uploaded the official report
to its web site.
Therefore I would show a
summary of results on a
metal rod.
In order to use a tool for ki-therapy, special processing had
been performed to the metal rod.
Material: Ti Length: 120mm Diameter: 10mm Weight: 40.796 g
Metal Rod
Biophoton
measurement for 18h
Dark box
Pencil Metal rod
One trial: Experimental and control
samples were exposed to room
light for 30 min. Then, biophotons
of samples were measured for 18h.
The test consisted of 2 trials.
Result (n =8)
Special processing had been performed to the metal rod.
Metal rod showed J = 0.116 (±0.087, 95% confidence interval).
It meant that the metal rod had an anomalous property similar
to bio-PK.
Intensity Experiment Control J value
[Counts/
10000pixels] 49480 44724 0.116
SD 9291 11753 0.104
95% confidence
interval
7768 9826 0.087
p = 0.0117 (two tails)
Wilcoxon signed-rank test
(Measured in 2007)
IRI Research on Pyramid Power
2016/12/20
October 2007 – September 2017
Sakamoto Hyper-tech Project: Collaborated by IRI (Mikio Yamamoto) and
Aquavision Academy (Masamichi Sakamoto)
Dr. Osamu Takagi
is the main
researcher of this
study.
Sample Setting
ピラミッド頂点 較正基準点
We have used
more than 10,000
cucumbers.
(Takagi, O., et al: Discovery of an anomalous
non-contact effect with a pyramidal structure.
International Journal of Sciences, 4(5): 42-51,
2015.)
Samples are kept for 24-36h
Measurements of gas concentrations of a
pair of experimental and control samples
Pump (GV-100: Gastech, Japan) Gas-detector-tube (141L: Gastech, Japan)
Gas is extracted at 300ml from each container
To measure long-term anomaly
Task Post-measurements
med
(9:00-14:30)
post1
(14:30-18:00)
post2
(5:00-9:00)
Day1 Day2
post n (to 21days)
…
…
Day21
…
… …
Standard Protocol
Condition: Nobody entered the pyramid for 21 days before Day 1.
(Takagi, O., et al: Discovery of an anomalous non-contact effect with a pyramidal structure. International
Journal of Sciences, 4(5): 42-51, 2015.)
-0.1
0.0
0.1
0.2
0.3
0.4
0 5 10 15 20
Jvalue[Np]
Time [day]
Top of Pyramid
Calibration Point
Results
Anomalous responses of bio-sensor were detected after
the task at the top of the pyramid. It reached the
maximum at Day 2, and then reduced gradually.
Based on Takagi, et al (2015)
Approximation of Calibrated J
-0.05
0.05
0.15
0.25
0.35
0 2 4 6 8 10 12 14 16 18 20
CalibratedJvalue[Np]
Time(day)
The overall tendency of the calibrated J can be approximated
by a simple equation. It suggests that this phenomenon
follows a simple physical law (exponential function basically).
Based on Takagi, et al (2015)
Meanings of This Phenomenon
This phenomenon occurs very
slow.
• Not easy to find it if researchers
expect a real-time response.
• Moreover, if a delayed effect of the
previous test has continued, we will
misunderstand results of a new test.
This phenomenon is considered to have 2
steps: charging and converting.
A person gives “energy (type X)” to the
pyramid, then pyramid converts it to
“energy (type Q)”.
Type Q energy can be detected by
cucumber sensor, but Type X energy can
not be detected. It means that 2 kinds (at
least) of “unknown” energy exist in our
universe.
Pyramid
Energy (Type X)
Energy (Type Q)
Charging
Converting
Toward Future Study
• Matter has a property relating to psi essentially.
We should imagine a possibility that matter can generate
psi phenomena if we succeed to set suitable conditions in
the future.
• Psi phenomena have complex properties. However, some
properties seems to follow simple physical laws.
• There is a possibility that several kinds of “psi-energy” exist
in our universe. Such energies follow to their own physical
laws.
Thank you.
Hideyuki Kokubo
Institute for Living Body Measurements, International Research Institute
In this lecture, both the terms of "power“,
“energy” and "potential" are used only for
convenience.
The examination of the physical validities of
these terms is a future subject.
God aften!
A Topic on Japan
統計数理研究所http://www.ism.ac.jp/ の「日本人の国民性調査」より
20
40
12
19
59
33
0 20 40 60 80 100
1958年
2013年
回答率 [%]
信じる どちらとも 信じないBelieve Not believe
I can decide
on neither.
The Institute of Statistical Mathematics:
A Study of the Japanese National Character: The 13th Nationwide Survey.
Many modern Japanese believe “After Death”.
Do you believe “After Death” ?
(One of questions of a nationwide survey for the Japanese national character)
A Short Review of Detection Method for Psi
Zener cards
Detection for conscious or unconscious responses.
Researchers try to detect physiological and
psychological responses using bio-sensors.
Modern method using bio-sensors
ESP: brain blood flow, EEG, ECG, EDA, etc.
PK: animals, plants, cultured cells, etc.
Psychokinesis measurement
Detection for responses of sensors.
Classic method
25 cards consist of 5 symbols.
DT (down through)
Subject guesses cards
down through from the
top of the deck.
Zener cards
Clairvoyance (classic method)
○
□
○
○
+
☆
Mean common expected of the
hitting rate is 20%.
Example
A women student.
250 trials.
Clairvoyance. DT method.
Average of hits: 16.3 / run
Total hit rate: 65.2%
0
1
2
3
4
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
1ラン25試行の得点
頻度
A
理論値
August 25th, 2009.
The student was a Korean who
had lived in Japan to learn
Japanese language at that time.
Concept of Bio-sensor
Classic methods are useful.
However, recent successful experiments are
designed to measure physiological responses of
bio-sensors.
For example,
• Presentiment experiments: Researchers measure skin
conductance change (SCC) of subjects.
• Staring experiments: Researchers measure EEG of
receivers.
• Telepathic experiments: Researchers measure brain
blood flow of receivers.
Researchers use human body as a kind of bio-sensors.
Consciousness vs. Body
Usually, our consciousness ignore small un-
important signals even if our body detect them.
Consciousness is Not sensitive
for many stimuli.
Body is more sensitive for many
stimuli including psi signals.
Light
Gravity
Smell
Sound
Radiation
Electricity
Magnetism
Touch
Taste
Temperature
Psi signals
Humidity
We can recognize a signal when
we take attention to it.
Our consciousness has a role
as a filter to cut off noises.
We should improve methodology to measure responses of body.
Air pressure
Memory
Detection Stage for Psi
Filter of consciousness
Consciousness
Unconsciousness
Psi and
psi-related signals
Ganzheld ESP test is considered as a
technique to suppress the activity of the
filter of consciousness.
Central nervous system
Neurons
Organs
Tissues
Cells
Network of organelle
Organelle
Molecular machines
-5s -4s -3s -2s -1s
1s 2s 3s 4s 5s
EEG Change around Sending
Odds Topography of Significance between
Receiver's Alpha wave (1/p)
Comparison between Sending and Non-Sending
There are differences at Left Temporal lobe (-1s) and Right
Occidental & Temporal lobes (4s)
(Zhang, Yamamoto, Kokubo et al.2001)
EEG Change of Animal
Takeshige & Aoki reported
that a qigong master
succeeded to change EEG
of a rabbit (1994).
Takeshige C and Aoki T: Effect of artificial and human external qigong on electroencephalograms in rabbit and spontaneous
electrical activity of the rat pineal gland, Acupunct Electrother Res 19(2-3), 89-106, 1994.
Tissue of Pineal Body
Takeshige & Aoki inserted a micro electro-probe into
pineal body of a rabbit, and measure electric activity
of the pineal body.
Pineal body reacts to direction of geomagnetism.
The rabbit was set
on a turntable.
Takeshige C and Aoki T: Effect of artificial and human external qigong on electroencephalograms in rabbit and spontaneous electrical activity of the rat
pineal gland, Acupunct Electrother Res 19(2-3), 89-106, 1994.
Reactions against
geomagnetism
Reactions against ki (qi)
Tissue of rabbit’s
pineal body can
detect ki (psi signal).
Cultured Human Cells
HeLa cells
Exposed to X-ray
5 Gy
10 Gy
Qigong masters tried to
rescue injured cells.
Colony formulations were
counted.
This experiment was done at the
National Institute of Radiological
Sciences (NIRS) in 1995.
There was a difference of
number of colonies formed
between control and
experiment.
(Yamauchi,M. et al. 1996.)
Cultured cells have ability to
detect and respond to psi
signals.
Central nervous system
Neuron
Organ
Tissue
Cells
Network of organelles
Organelle
Molecular machine
Living system can detect psi
Psi and
psi-related signals
Researchers have already
examined that these
systems can detect and
react against psi or psi-
related signals.
Further studies are needed.
Can “consciousness” detect psi or
psi-related signals directly (without
process on living body systems) ?
It is a hypothesis.
It has not been examined yet.
?
Cucumis sativus ‘white spine type’
Cucumber (agruk):
A New Bio-sensor
Cucumber is
originated from
northern India
Agruk
Pepino japonês
Pepino salada
Cucumber
as Bio-Sensor
Cucumis sativus ‘white spine type’
I have developed 3 new
measuring methods using
cucumber pieces as bio-
sensors for bio-PK power
quantitatively.
1. Biophoton method (2006)
2. Gas method (2009)
3. Fluorescence method (2012)
Pepino japonês
In the present lecture, I will show results of measurements
for controlled healing power.
Cucumber as a biosensor
Bio-PK acts on cucumber’s self-
defense process.
2cm
Control Experiment
Piece of
cucumber
Injured
surface
A round slice of cucumber is a model of the injured living body.
We can test healer’s ability to recover physical health.
However, it is considered that estimating of mental healing
ability is not easy by this bio-sensor.
Biophotons, Gas & Fluorescence
Biophotons
Gas (Odor)
Biosynthesis of
green odor
O2
Piece of
cucumber
24h after
UV
Fluorescence
Injured
surface
Bio-PK acts on cucumber’s
self-defense process.
(Blue-purple to green)
Sensor for
temperature
& humidity
Deodorant &
moisturizer
C2400-47
60mA/W at 400nm, 280-650nm
Controls Experiments
Healer T005 18 h Measurement
Example: Non-healer (W006)
Accumulation of 1h data 18 times (for 18 hours).
Control Experiment
Example: Healer (T005)
Accumulation of 1h data 18 times (for 18 hours).
Control Experiment
Example: Healer vs. Non-healer
Healer (T005)
There is a significant difference
of biophoton intensity between
experiments and controls.
18h Accumulation.
Non-healer (W006)
There is not a significant difference of
biophoton intensity between
experiments and controls.
18h Accumulation.
Control Experiment Control Experiment
No-effects of heat and room light
Various blank tests: heat, heat and room light, room light,
and no-treatment. 30 min, at 24 ℃ room temperature.
Heat
Light Non-treatment
Heat + Light
0
20000
40000
60000
80000
100000
Healing
Heat
Light
Heat+Light
Non-
treatment
AverageofIntensity
[Counts/10000pixels]
E C
p = 6.5×10-7 Wilcoxon singed-rank test (two tails)
n = 106 n = 32 n = 31 n = 16 n = 15
(About 15 healers)
Comparing Healing with Others
Condition n IE IC IE-IC p value J value
Healing 106 88192 75890 12303 6.5×10-7 0.142
Thermal 32 77966 76435 1531 0.501 0.005
Covered 31 57270 55038 2232 0.308 0.045
Thermal &
covered 16 64862 63295 1567 0.535 0.028
Exposed 15 69618 69857 -238 0.910 0.003
There was very significant difference of intensities between
experiments and controls in healing (p=6.5×10-7, Wilcoxon
signed-rank test, two tails). Kokubo, H. 2008
Category of Bio-luminescence
Strong
Bio-
luminescence
Specific
matter
L-L reaction (luciferin-
luciferase reaction)
Firefly, luminous
bacteria
Fluorescent protein
Non L-L reaction
Jellyfish
Ultra
weak
ultraweak CL
Common
matter
Non-enzyme reaction
Oxidation of fats and
oils.
Enzyme reaction
Peroxidation of
microsomal lipid
ultraweak
biophoton
emission
ultraweak dark CL Organ, cell
ultraweak photo-CL
Photochemical reaction
of protein
(Based on Inaba’s slide)
Summary of Healing Tests
Time Transition of Intensity of biophotons
Bio-PK reaction occurs 5 hours after healing.
-4000
0
4000
8000
12000
16000
0 5 10 15 20
Time [h]
Intensity[Count/10000pixels]
E
C
Phase I Phase II Phase III
-2000
-1500
-1000
-500
0
500
1000
1500
2000
2500
0 5 10 15 20
時間 [h]
発光強度の差[個/1万画素]
実測値
近似値
)(
kk
kkA tktk 21 ee
12
210 --
-
-
Bio-PK reaction can be approximated by a simple equation.
(About 15 healers, n=106)
DifferencebetweenEandC
1pm 1nm 1μm 1mm 1m 1km 1000km
X ray Infrared Radio wave
(γ ray)
UV Visual light
Wavelength of Biophotons
[nm] 380 - 430 430 - 460 460 - 500 500 - 570 570 - 590 590 - 610 610 - 780
Color
Our system (C2400-47): 280-650nm. Ultraviolet and visual light.
We measure visual light chiefly.
Other researchers often measure visual light and infrared ray.
Generally, intensity of infrared ray is extremely greater than
ones of visual light. Therefore, they measure infrared ray chiefly.
Difference between Cameras
-2000
-1000
0
1000
2000
3000
4000
5000
6000
7000
0 5 10 15 20
Time [h]
Intensity[Counts/10000pixels]
E
C
n = 16
Maximum intensities are different. I.I. : CCD = 1: 3.7×104
Time transitions are different according to wave length.
0
20000000
40000000
60000000
80000000
100000000
120000000
140000000
160000000
0 5 10 15 20
Time [h]Intensity[Counts/10000pixels]
E
C
I.I. camera [280–650nm] CCD camera [400-1000nm]
n = 20 (ImagEM C9100-13)(I.I. C2400-47)
Blank test Blank test
Visual light chiefly Infrared ray chiefly
Visual Light
-2000
-1500
-1000
-500
0
500
1000
1500
2000
0 5 10 15 20
Time [h]DifferenceofIntensities
[Counts/10000pixels]
Kokubo, H. 2008
Average Intensity and SD Difference and 95%
Confidence intervals
-2000
-1000
0
1000
2000
3000
4000
5000
6000
7000
0 5 10 15 20
Time [h]
Intensity[Counts/10000pixels]
E
C
Blank test (n = 16)
There is non significant difference between E and C
Infrared Ray
0
20000000
40000000
60000000
80000000
100000000
120000000
140000000
160000000
0 5 10 15 20
Time [h]
Intensity[Counts/10000pixels]
E
C
Difference changes.
Kokubo, H. 2007
Average Intensity and SD Difference and 95%
Confidence Interval
-15000000
-10000000
-5000000
0
5000000
10000000
15000000
20000000
25000000
0 5 10 15 20
Time [h]
DifferenceofIntensities
[Counts/10000pixels]
Blank test (n = 20)
Distribution of Intensity
CCD camera. 18h AccumulationI.I. camera. 18h Accumulation
CCD: The most active areas were the skin of samples. [Infrared ray]
I.I.: The most active areas were flesh areas. [Visual light]
Blank test Blank test
(Visual light biophotons) (Infrared ray biophotons)
Target Biophotons
• The target biophotons is visual light from blue to green in
our system.
• These photons are considered to be generated by
reactive oxygen chiefly.
• The infrared biophotons are generated by various
functional groups of molecules chiefly.
1. Intensities of biophotons are different.
2. Time transitions of intensity of biophotons are different.
3. The most active areas are different.
We will get different information from samples if we
measure different wavelength (visual light vs. infrared ray).
Attention Please
Kokubo, H. 2010
• Please be careful to wavelength of the biophoton
sensor if you read reports.
• You should consider that the majority of data are
obtained from infrared ray if the sensor has
sensitivity for infrared ray even if it also has
sensitivity for visual light.
• Data of infrared ray differ from data of visual light.
• At least, in our laboratory, we have detected
anomalous effects for bio-sensor in only visual
light, not infrared ray.
A Pair of Samples
• Absolute values of bio-sensors are often different
extremely because standard deviation of bio-parameters,
such as length, weight, diameter, etc., are greater than
ones of common physical sensors. Therefore,
standardization of values are needed.
• One of way is use of ratio.
• If we make a pair of experimental and control samples, we
can calculate a ratio of experimental and control values.
• Therefore, I always make a pair of experimental and
control samples.
SD is very
large.
0
1
SD
becomes
small.
Ratio
Comparison with
paired control data
Logarithm of Ratio
• Ratio is useful if target value is larger than control value.
• However, ratio is not symmetric between the case that
target value becomes large and the case that target value
becomes small.
• Moreover, the absolute value of a ratio will not be the same
if we exchange denominator with numerator,
• These problems can be resolved if we use a logarithm
of the ratio.
3
2
log 2
3
= - log
• dB is 10 log10(x/y). dB is often used in electronics.
3 over 2 is not equal to 2 over 3.
J value
Left term
Magnitude of bio-PK
power (effects)
Right term
Natural logarithm of a ratio
of physical values
Calibrated J value for Analysis
Kokubo, H. 2010
J = k ln ( E / C)
E: experimental value. C: control value.
k: coefficient and k = 1 tentatively.
Jmain test ー Jcalibration test = calibrated J
J value is defined as natural logarithm of ratio: E over C.
[Np] (ネーパ)
[Np]
-0.20
-0.15
-0.10
-0.05
0.00
0.05
0.10
0.15
0.20
0.25
0.30
Healing
Thermal
Screen
Thermal+
Screen
Non-treat.
JValue
J values
Only J value of the
healing test was not
equal to zero.
(p = 0.030, ANOVA)。
J values and 95%
confidential intervals
106 32 31 16 15
Kokubo & Yamamoto: Journalof International Society ofLife InformationScience, 25, 219-232,2007.
J = ln ( IE / IC)
Healing effects is not
caused by heat or
shadow of hands.
Heat+
Light
Light
Heat
n =
J values and 95% confidence intervals
-0.100
0.000
0.100
0.200
0.300
0.400
0 20 40 60
Jvalue[Np](Gasandbiophoton)
Number of Subjects
Beginner
0~0.1
Veteran
0.1~0.2
Expert
0.2~0.3
Psychic
> 0.3
測定 2009年11月~12月(ロット番号90831)
Level 1
Level 2
Level 3
Level 4
We can classify the magnitude
of bio-PK power by J value
Level 5
Psychic level healer can be
estimated as fewer than 1 per
10000 healers.
(1 dB)
Cucumber Series No. 7
• Date: June, 2008 to December, 2008
• Healers
Group A: 10 beginners (Practice term is shorter than
3 years or practice clients are few than 100
clients).
Group B: 14 Veterans.
• Age: from 27 to 70 years. Average: 49.1 (SD=12.9)
• 22 Japanese, 1 American, 1 Israel.
• Task: To increase biophotons of cucumber samples.
Series No. 7 (June – December, 2008)
• Average J value of each healer. Each healer did 2 trials.
• There was no significant difference of J value between
groups A & B.
-0.3
-0.2
-0.1
0.0
0.1
0.2
0.3
0.4
S013
I001
L001
M007
M004
S011
M006
K015
K014
Y004
U003
P001
N007
F004
I002
M003
T011
O003
K010
T010
T009
S012
K013
M005
GroupA
GroupB
All
Jvalue[Np]
Group A
J = 0.081
Group B
J = 0.086
All
J = 0.084
Correlation with Basic Parameter
-0.10
-0.05
0.00
0.05
0.10
0.15
0.20
0 20 40 60 80
Age
Jvalue(ControlledHealingPower)
A
B
r = -0.487
p = 0.016 (two tails)
R2 = 0.237
There was a negative
weak correlation
between Healer’s age
and J value.
• In our studies, healer’s age often shows a correlation with J value although
other biological parameters such as height and weight do not.
• However, direction of positive/negative of correlation is not stable.
• We have not succeeded to identify any important factors which can be
influenced by healer’s age.
Gas Method
Cucumber
piece
biophotons
Green Odor
(cucumber
gases)
Biosynthesis of
Green Odor
Amount of gases
• Cucumber gases (odor) are generated when cucumber are
cut and contacted the oxygen in the air.
• A part of biophotons is generated on process of biosynthesis
of green odor.
• Amount of gases relates to the intensity of biophotons.
• Therefore, we can measure effects of healing through
measurements of amount of gases, not only biophotons.
Oxygen in the air
Biosynthesis of Green Odor
Phospholipids and Neutral lipids
O2 lipase
Alpha-linolenic acid and Linoleic acid
O2 lipoxygenase (LOX)
Hydroperoxides
fatty acid hydroperoxidelyase (HPOL)
C9/C6 aldehyde and
alcohol
8-holmyl octanoic acid
11-holmyl undecenoic acid
Biosynthesis of green
odor starts automatically
when oxygen in the air
contacts the cutting
surface of a cucumber
piece.
The major component of
cucumber gases is violet
leaf aldehyde (52.6%).
Green Odor
Role of Biosynthesis of Green Odor
• Green odor is a kind of disinfectant.
• Biosynthesis of green odor is a kind of self-defense
mechanisms against illness and insects.
• All green plants have this mechanism.
• Therefore all green plants are useful as bio-sensors
theoretically.
• Cucumber is a good plants because of practical
reasons; shape and easiness of obtaining.
• In our methods, we use slice (injured) pieces of
cucumber and healers try to act on cucumber’s self-
defense. In this meaning, our methods are designed
as a model of clinical situations of healing.
Gas Method
J value
J value is an index of healing power
Control Experiment
A healer does non-contact healing
against Experimental dish for 30 min.
ExperimentControl Paired
dishes
24h in
container
24h in
container
Gas measurement
Comparison
Non-treatment 30-min healing
Gas measurement
Cucumber pieces
2cm
Control Experiment
Healing
Sample pair is
made from
cucumber.
Label
Making a Sample Set for a Trial
Labels are set after
randomization.
4 paired-dishes
are made from
4 cucumbers.
1
1 1
1 1
1 1
1 1
1
1
1
Flower side
Controls Experiments
234
44
3
2
3
2
2 paired-dishes
are used for a
calibration test.
2 paired-dishes
are used for a
healing test.
SCAT: simultaneous
calibration technique.
Gas Container
Clipped by
a pinchcock
Clipped by
a pinchcock
230mm
Samples
PumpDetector
145mm
160mm
80mm
φ7.1mm
80mm
40mm
Rubber tube Rubber tube
2.2 L sealed plastic containers. Containers are kept in a room at 24 C for
24 hours, without exposure to sunlight. Biosynthesis of green odor
products gases proceeded using oxygen in the air in the container.
Gas-measuring detector tube (141L,
Gastec, Japan)
Subject and Controls/Blank
S
Room A
Room B
C
12m
Front
E1
E2
S
25cm or
50cm
Right BackLeft
Field Measurements
Measurement of Bio-PK Field
Measuring points are set in front-back
and right-left directions.
Healing Measurements
E1, E2 are the targets of healing.
Petri dishes are covered by
paper towels.
Disinfection
by ethanol
Making Samples
Gas containers were kept in shelves.
About 130 containers were used for one experiment.
Shelves were covered with thick cloths to avoid winds.
Pairs of tubes were made before gas operation
Before
After sorting tubes, pairs of tubes were made.
Washing is a hard work
Gas Measurements
Results of Healing Tests
Psychic healers showed significant J value
Average J = 0.111 (n = 8), p = 0.017, two tails, t-test.
Volunteer healers showed significant J value
Average J = 0.124 (n =20), p = 0.003, one tail, t-test.
Subjects
• 2 psychic healers
W003 (female, 41y), W004 (female, 43y).
• 5 volunteer healers (3 males, 2 males) who are
considered to have strong power.
Their average age was 53.2 y.
Individual Patterns of Psychics
W003 (Average of 2 data) W004 (Average of 2 data)
3D graphs are drawn using linear interpolation of points which
distances from the origin are the same.
Right Front
Right Front
[m] [m]
[m] [m]
J [Np] J [Np]
Individual Results of Psychics
W003 (Average of 2 data) W004 (Average of 2 data)
These distributions are symmetric obviously in left-right direction.
Front Front
Right
Right
View from Upper Direction
[m]
[m]
[m]
[m]
Average Pattern of Psychics (4 data)
-0.4
-0.2
0.0
0.2
0.4
This wave-like
pattern is
considered as a
basic pattern of
bio-PK potential.
J [Np]
FrontRight
[m]
[m]
J [Np]
Average Pattern of Psychics (4 data)
-0.4
-0.2
0.0
0.2
0.4
Bio-PK potential
is not Coulomb
potential.
Front
Right
J [Np]
View from Upper Direction
[m]
[m]
Discussion 1: Wave-like Potential
1. Wave-like potential means a
Layer-structure which has
been claimed empirically.
2. Reverse-potential areas exist.
It suggests the importance of
direction and distance in
experiments.
Moreover, some kinds of psi-missing may be caused by
reverse-potential areas.
3. Bio-PK fields are cancelled if
they are interacted each other
at random. Therefore, psi is not
remarkable in our daily life.
Discussion 1: Wave-like Potential
+ (λ- z2) J = 02
2
dz
Jd
4. Wave phenomena can cause tunneling phenomena.
Wave-like potential of psi suggests that psi can pass
through a wall like sounds can pass through a wall and
reach to outside of a room.
5. Approximated equations can be discussed. Now we have
discussed a differential equation following that,
Our interest is focused on a quantum harmonic oscillator
tentatively. It is one of possible models.
Healer Type and Pattern
Type ID Trial J value [Np]
Laying-on-of-hands O004 1st trial 0.281
Image-formulating S012 2nd trial 0.231
Laying-on-of-hands K020 2nd trial 0.193
Qigong K007 2nd trial 0.148
Image-formulating S012 1st trial 0.120
Laying-on-of-hands O004 2nd trial 0.102
Laying-on-of-hands K020 1st trial 0.097
Qigong K007 1st trial 0.096
Qigong S015 1st trial 0.001
Qigong S015 2nd trial -0.039
Qigong type healers showed lower J values. Their patterns
were extension patterns
Upper 5 Data Lower 5 Data
Concentration pattern Extension pattern
Details of Volunteer Healers
Front FrontRight Right
[m]
[m]
[m]
[m]
J [Np] J [Np]
J [Np]
Upper 5 Data Lower 5 Data
Concentration pattern Extension pattern
Details of Volunteer Healers
Front Front
Right
Right
View from Upper Direction
[m]
[m]
[m]
[m]
J [Np]
Laying-on-of-hands and image-formulating type healers
often show the concentration pattern.
Concentration Mixed
Pattern of Trial Data (not averaged)
Qigong type healers often show the extension pattern.
Concentration Extension
Pattern of Trial Data
(not averaged)
Individual Averaged Patterns
Front
Right
O004 K020 S012
S015K007
Qigong healers
Laying-on-of-hands and
Image-formulating healers
J [Np]
Type of Healer and Healing Way
Laying-on-of-hands healer Qigong healer
They are familiar with
distant therapy (2-3 m).
They are familiar with
close therapy.
Concentration pattern Extension pattern
Discussion 2
Pattern of Bio-PK Field and Healing Way
• The pattern of bio-PK field is considered as
depended on healing ways.
• There is a possibility that we can categorize
healing ways by their averaged patterns of
bio-PK field in future.
• Moreover, we may be able to estimate
healer’s degree of skills of controlling power
through stability of his pattern.
Average of Volunteer Healers (10 data)
-0.4
-0.3
-0.2
-0.1
0.0
0.1
0.2
0.3
0.4
Jvalue
Totally, volunteer
healers showed a
spiral pattern.
FrontRight
[m]
[m]
J [Np]
J [Np]
Average of Volunteer Healers (10 data)
-0.4
-0.3
-0.2
-0.1
0.0
0.1
0.2
0.3
0.4
Jvalue
Totally, volunteer
healers showed a
spiral pattern.
Front
Right
View from upper direction
[m]
[m]
J [Np]
Discussion 3: Reasons of Spiral Pattern
The reasons of the spiral pattern are unknown at present day.
There is a possibility that,
Healers controlled their power like a spiral (a way of healing).
Training Way of a Brazilian Spiritist
http://www.consciencial.org/cd_prat_bio_v2.htm
• Brazilian spiritists know a
training way to control bio-
energy.
• They try to turn focus
points around their bodies.
Fluorescence of Suspension of
Cucumber
With
skin
Milk color
Without
skin UV lamp
Dark red
(Chlorophyll)
Fluorescence from
Suspension of Cucumber
UV lamp
Dark red fluorescence
of Chlorophyll
Just after making 48h after
Blue fluorescence can be
seen by naked eyes.
Paper Chromatograph of Suspension of
Cucumber (Dry state)
Blue to Green & Red fluorescence
UV lamp
Fluorescence Measurement System
I.I. camera
C2400-47, 60mA/W at
400nm, 280-650nm
Band pass filters
438.0nm, 482.5nm,
534.5nm, 562.0nm,
(full width at half
maximum, 28-48nm)
OD > 6
UV lamp
FL4LB-B
352nm
UV-pass filter
U330
438.0nm 482.5nm
534.5nm 562.0nm
Example of FL Method
438nm band 483nm band
Intensity of fluorescence
ExperimentsControls Controls Experiments
Fluorescence method is used with Gas method usually.
Band Pass Filter (BPF)
X rayray UV ray IR Radio wave
Visible light
Wave
length
(nm)
380~
430
430~
460
460~
500
500~
570
570~
590
590~
610
610~
780
color
BPF allows
specific
wavelength light
passes.
483nm BPF
Method -1
Term and Place
Experimental trials were done in 2012 from February 27
to March 30 and June 30 to August at the IRI.
Participants
Practitioners of non-contact healing (energy medicine
type) (2 males, 9 females; average age was 44.1 y).
They had training and experience in Reiki, various
spiritual healing methods (Transformational Healing,
Craniosacral Biodynamics, Quantum Touch, etc.), and
qigong, as well as experience in their own ways.
The major ways were their own ways at that time.
Self-judgment of the grade of their skills was given as Level
A (beginner) and B (veteran).
Table 1 Healers
ID Level Gender
Age
(y)
No. of
trials
Main way of healing
A011 A f 43 4 FOL (Flower of Life)
H006 B f 54 4 Remote healing (own way)
K013 B m 49 2 Own way
K021 B f 51 2 Qigong
K022 A m 23 2 Own way
M008 A f 47 2 Remote healing (own way)
M009 A f 35 4 Own way
O005 B f 49 2 Own way
S012 B f 47 4 Craniosacral biodynamics
S016 A f 40 2 Reconnective healing
S017 A f 47 4 Own way
Level: A, beginner; B, veteran.
Dendrogram
0510
1
5
16
13
2
6
12
11
3
7
14
15
4
9
8
10
Pattern Analysis of Trial Data
• Relationships between JG and JF values were complicated
more than our expectations.
• Therefore, we analyzed combined patterns of J values by
cluster analysis (Ward method, standardized Euclidean distance).
• Trial data of healing were categorized into 3 patterns.
-0.600
-0.400
-0.200
0.000
0.200
0.400
0.600
Gas 438nm 483nm 535nm 562nm
JvalueJvalue[Np]
Patterns of Trial Data of Healing Tests
-0.600
-0.400
-0.200
0.000
0.200
0.400
0.600
Gas 438nm 483nm 535nm 562nm
Jvalue
Pattern I
M009-2 K021-1 S017-2 K021-2
-0.600
-0.400
-0.200
0.000
0.200
0.400
0.600
Gas 438nm 483nm 535nm 562nm
Jvalue
Pattern II
M009-1 S017-1 A010-2 H006-1
-0.600
-0.400
-0.200
0.000
0.200
0.400
0.600
Gas 438nm 483nm 535nm 562nm
Jvalue
Pattern III
K013-1 S012-1 H006-2
A010-1 K013-2 S012-2
O005-2 O005-1
-0.600
-0.400
-0.200
0.000
0.200
0.400
0.600
Gas 438nm 483nm 535nm 562nm
Jvalue
Discriminant Function
-4
-3
-2
-1
0
1
2
3
4
-10 -5 0 5 10
DiscriminantFunction2
Discrininant Function 1
Pattern I
Pattern II
Pattern III
These patterns are considered as reflections of different healing ways.
Correctly assigned:100%
fi = Σai,jxi,j + ci
Function Wilk's Λ Bartlett's χ2 df p value
1 0.0089 51.9701 10 1.16×10-7
2 0.1856 18.5230 4 0.0010
Discriminant Function
Gas 438nm 483nm 535nm 562nm Constant
Correctly
assigned
Function 1 19.9624 1.3094 -2.1901 -2.4852 -17.6991 -5.0496
100%
Function 2 -1.1088 -4.4837 8.4911 2.3105 1.3024 0.0488
Coefficients of Discriminant Functions
Function Wilk's Λ Bartlett's χ2 df p value
1 0.0089 51.9701 10 1.16×10-7
2 0.1856 18.5230 4 0.0010
Details of Discriminant Functions
Result-1 Cluster Analysis
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
Gas 438nm 483nm 535nm 562nm
CaribartedJvalue
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
Gas 438nm 483nm 535nm 562nm
CarbiratedJvalue
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
Gas 438nm 483nm 535nm 562nm
CaribratedJvalue
-0.4
-0.2
0.0
0.2
0.4
Gas 438nm 483nm 535nm 562nm
CalibratedJvalue
Pattern III Pattern II Pattern I
Pattern I
Pattern II Pattern III
[Np]
[Np] [Np]
[Np]
Pattern Analysis of Trial Data
• Relationships between JG and JF values [Np] were
complicated more than our expectations.
• Therefore, we analyzed patterns of J values by cluster
analysis.
ID
Data
No.
Gas 438nm 483nm 535nm 562nm
Cluster I
(Pattern I)
K021-2 10 -0.001 -0.200 0.451 -0.361 -0.462
S017-2 8 0.123 -0.363 0.278 0.005 -0.375
K021-1 9 0.192 -0.133 0.296 0.033 -0.260
M009-2 4 0.234 -0.134 0.238 0.113 -0.319
Cluster II
(Pattern II)
H006-1 15 0.074 -0.013 0.017 -0.556 -0.530
A010-2 14 0.107 -0.048 -0.109 -0.555 -0.295
S017-1 7 0.229 0.054 -0.170 -0.375 -0.215
M009-1 3 0.243 -0.020 -0.157 -0.190 -0.173
Cluster III
(Pattern III)
O005-1 11 0.127 0.363 0.150 -0.152 0.148
O005-2 12 0.109 -0.116 0.099 0.256 0.047
S012-2 6 0.220 -0.078 -0.088 -0.111 0.176
K013-2 2 0.185 -0.041 0.061 -0.034 0.061
A010-1 13 0.018 -0.162 -0.216 -0.286 0.018
H006-2 16 -0.047 -0.006 -0.041 0.268 -0.138
S012-1 5 0.001 0.121 -0.190 0.050 -0.028
K013-1 1 -0.150 0.019 0.057 -0.173 -0.194
0 5 10
1
5
16
13
2
6
12
11
3
7
14
15
4
9
8
10
Discussion
• It is expected that there are common properties
among various healing ways.
• There is a possibility that we can categorize various
healing ways using data patterns.
Various healing ways
Way-1
Way-2
Way-3
• Pattern-I
• Pattern-II
• Pattern-III
Way-1
Way-2
Way-3
School-01 Way-2
School-01 Way-1
School-02 Way-2
School-01 Way-3
School-02 Way-1
School-02 Way-3
School-01
School-02
Re-categorization by
response pattern
Categorization of Healing Ways
Multiple channel
measurements
using J value
Target
(bio-sensor)
Data patterns
Multivariate
analysis
Bio-PK Ways / Techniques
Study on
Mechanisms
of Bio-PK
Questionnaire survey
Cluster analysis
Categorical PCA
Questionnaire A (Healing ways)
H-
item
Items of Healing Ways H-item Items of Healing Ways
H01 I remove bad energy from a client H14 I order to the origin of the world
H02 I input good energy to a client H15 I obtain help of higher entities
H03 I improve quality of a client’s energy H16 I pray for a client’s recovery
H04 I improve a client’s energy circulation H17 I re-write or activate a client’s DNA
H05 I adjust energy balance of a client H18 I introduce a client to grounding
H06 I release a client’s emotion(s) H19 I activate client’s chakras
H07
I improve a client’s immunological
power.
H20 I strengthen a client’s Tan-den
H08 I hold a memorial service for bad spirits H21 I do aura clearing
H09 I use the spirit of language H22 I guide a client with words
H10 I use mantra H23 I use clairvoyance on client’s conditions
H11 I use symbols H24 I use channeling
H12 I adjust a client’s body balance H25 I use a breathing method
H13
I formulate an image to restore a
client’s health
H26 I cure the client’s soul
Questionnaire B (Client’s response)
CL-
item
Items of Healing Ways
CL-
item
Client’s responses
H
01
…
H2
6
CL01 Feeling of warmness CL14 Appearance of a vision
CL02 Feeling of smoothness CL15 Receipt of a message
CL03 Breathing becomes easier CL16 Disappearance of bad energy
CL04 Feeling of vibration CL17 The body becomes more vivid
CL05
Movement of stomach and
intestines
CL18 The spirit becomes more vivid
CL06
Coughing, belching or farting
occur
CL19 Feeling of freedom
CL07 Tears fall CL20 Feeling of sleepiness
CL08 Body conditions are restored CL21
Disappearance of negative
feelings, such as uneasiness and
anger
CL09 Unconscious movement of body CL22
Alternative states of consciousness
occur
CL10 Feeling of weightlessness CL23 Increase of happiness
CL11
Re-construction of the center of
the body
CL24 Feeling of clear vision
CL12
Recovery of body balance or
correction of posture
CL25 Feeling of oppression
CL13 Detection of a light CL26 Temporary pain is felt
Questionnaire A (Healing ways) Questionnaire B (Client’s response)
H-item Items of Healing Ways CL-item Client’s responses
H
01
…
H
26
H01 I remove bad energy from a client CL01 Feeling of warmness
H02 I input good energy to a client CL02 Feeling of smoothness
H03 I improve quality of a client’s energy CL03 Breathing becomes easier
H04 I improve a client’s energy circulation CL04 Feeling of vibration
H05 I adjust energy balance of a client CL05 Movement of stomach and intestines
H06 I release a client’s emotion(s) CL06 Coughing, belching or farting occur
H07 I improve a client’s immunological power. CL07 Tears fall
H08 I hold a memorial service for bad spirits CL08 Body conditions are restored
H09 I use the spirit of language CL09 Unconscious movement of body
H10 I use mantra CL10 Feeling of weightlessness
H11 I use symbols CL11 Re-construction of the center of the body
H12 I adjust a client’s body balance CL12 Recovery of body balance or correction of posture
H13 I formulate an image to restore a client’s health CL13 Detection of a light
H14 I order to the origin of the world CL14 Appearance of a vision
H15 I obtain help of higher entities CL15 Receipt of a message
H16 I pray for a client’s recovery CL16 Disappearance of bad energy
H17 I re-write or activate a client’s DNA CL17 The body becomes more vivid
H18 I introduce a client to grounding CL18 The spirit becomes more vivid
H19 I activate client’s chakras CL19 Feeling of freedom
H20 I strengthen a client’s Tan-den CL20 Feeling of sleepiness
H21 I do aura clearing CL21
Disappearance of negative feelings, such as
uneasiness and anger
H22 I guide a client with words CL22 Alternative states of consciousness occur
H23 I use clairvoyance on client’s conditions CL23 Increase of happiness
H24 I use channeling CL24 Feeling of clear vision
H25 I use a breathing method CL25 Feeling of oppression
H26 I cure the client’s soul CL26 Temporary pain is felt
Patterns and Healing ways
Chakra-Activating Type Pattern-I
Pattern-II
Pattern-III
DNA-rewriting (Language-
leading) Type
Energy-Circulation-
Improvement Type
Competitive
Inhibitive
Mechanisms of these ways are different.
Spiritual responses
Recovery of body
conditions
Temporary pain
Kokubo et al.: Journal of International Society of Life Information Science, 31, 161-181, 2013.
Discussion - 1
Correspondence analysis showed similar results. It is
considered to support the present results. However, the
present study is our first attempt to analyze relationships
among healing ways and response patterns of bio-sensors.
There are several problems which should be resolved.
• Both H- and CL-items are 26 items each. 30 data
is smaller than them. More data are needed.
• Some questionnaire items should be improved.
• There is a possibility that significant relationships
may be found among items which were judged as
having no relationship in the present study if we
collect more data and expand the range of our
discussion in the future.
Concept “Bio-PK”
The present study shows that different healing ways exist.
The reasons for differences of mechanisms or properties are
considered as:
(1) Target parts or biochemical reaction systems are different.
(2) Their physical mechanisms differ, for example, sound
waves and electromagnetic waves are different physical
phenomena.
(3) Properties of healing “actions” differ just like Rock 'n' Roll
music differs from classic music.
We cannot judge those possibilities at present.
However, we need an assumption that some kinds of bio-PK
phenomena have different physical mechanisms.
Toward Future Study
Biophysical study has suggested possibilities that,
• There are several kinds of unknown factors
(energies) which relates to psi phenomena.
• Those factors seem to follow to own physical laws.
• Psi phenomena consist of several unknown
factors. It is the reason that psi phenomena are
complex and often seem to transcend the modern
physics apparently.
• These factors can be measured if we succeed to
develop suitable technologies.
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PEA技術 国際学会発表資料

  • 1. Hideyuki Kokubo International Research Institute MATTER HAS PSI-RELATED PROPERTY AN APPLICATION OF CUCUMBER SENSOR
  • 2. EEG Change of Animal Takeshige & Aoki reported that a qigong master succeeded to change EEG of a rabbit (1994). Takeshige C and Aoki T: Effect of artificial and human external qigong on electroencephalograms in rabbit and spontaneous electrical activity of the rat pineal gland, Acupunct Electrother Res 19(2-3), 89-106, 1994.
  • 3. Matter also changes EEG Takeshige & Aoki also reported that a qigong master gave his power to a medal, then the medal succeeded to change EEG (1994). medal Power charge Takeshige C and Aoki T: Effect of artificial and human external qigong on electroencephalograms in rabbit and spontaneous electrical activity of the rat pineal gland, Acupunct Electrother Res 19(2-3), 89-106, 1994.
  • 4. Tissue of Pineal Body Takeshige & Aoki inserted a micro electro-probe into pineal body of a rabbit, and measure electric activity of the pineal body. Pineal body reacts to direction of geomagnetism.
  • 5. Takeshige C and Aoki T: Effect of artificial and human external qigong on electroencephalograms in rabbit and spontaneous electrical activity of the rat pineal gland, Acupunct Electrother Res 19(2-3), 89-106, 1994. Reactions against geomagnetism Reactions against ki (qi) Reactions against ki (qi)
  • 6. Takeshige C and Aoki T: Effect of artificial and human external qigong on electroencephalograms in rabbit and spontaneous electrical activity of the rat pineal gland, Acupunct Electrother Res 19(2-3), 89- 106, 1994. Reactions against geomagnetism Reactions against artificial ki (qi) machine Reactions against ki (qi)-medal which has power charged by a qigong master.
  • 7. Natural Killer cells A master charged his power into PBS solution. Next, the PBS solution is given to human NK cells. NK cells were activated. Activated Power charge Not charged NK cells (Kataoka, Sugiyama, Matsumoto, 1997a, 1997b) Not activated Cells have ability to detect psi-related signals. PBS PBS
  • 8. Application of Cucumber Sensor • Other bio-sensors can detect or react to psi-related signals even if such signals are generated from matter, not only human. • Cucumber sensors should be tested using psi-related signals. • Some innovators often ask me to measure their original devices or items. They claim that their devices can emit anomalous power which is similar to psi (ki). For example: 1. Special drawings or patterns which are created by qigong masters. 2. CD disc, accessary, stone, etc. which are charged by healer’s power. 3. Metal sticks, rods, and machines which are created in order to emit artificial ki-power.
  • 9. A Sample: Metal Rod Official report is uploaded as open access PDF by the Daiya Systems, Ltd., Japan. http://www.daiyasystems.jp/commodity_html/commodity_photo/houkokushyo.pdf Daiya Systems, Ltd. has uploaded the official report to its web site. Therefore I would show a summary of results on a metal rod. In order to use a tool for ki-therapy, special processing had been performed to the metal rod. Material: Ti Length: 120mm Diameter: 10mm Weight: 40.796 g
  • 10. Metal Rod Biophoton measurement for 18h Dark box Pencil Metal rod One trial: Experimental and control samples were exposed to room light for 30 min. Then, biophotons of samples were measured for 18h. The test consisted of 2 trials.
  • 11. Result (n =8) Special processing had been performed to the metal rod. Metal rod showed J = 0.116 (±0.087, 95% confidence interval). It meant that the metal rod had an anomalous property similar to bio-PK. Intensity Experiment Control J value [Counts/ 10000pixels] 49480 44724 0.116 SD 9291 11753 0.104 95% confidence interval 7768 9826 0.087 p = 0.0117 (two tails) Wilcoxon signed-rank test (Measured in 2007)
  • 12. IRI Research on Pyramid Power 2016/12/20 October 2007 – September 2017 Sakamoto Hyper-tech Project: Collaborated by IRI (Mikio Yamamoto) and Aquavision Academy (Masamichi Sakamoto) Dr. Osamu Takagi is the main researcher of this study.
  • 13. Sample Setting ピラミッド頂点 較正基準点 We have used more than 10,000 cucumbers. (Takagi, O., et al: Discovery of an anomalous non-contact effect with a pyramidal structure. International Journal of Sciences, 4(5): 42-51, 2015.)
  • 14. Samples are kept for 24-36h
  • 15. Measurements of gas concentrations of a pair of experimental and control samples Pump (GV-100: Gastech, Japan) Gas-detector-tube (141L: Gastech, Japan) Gas is extracted at 300ml from each container
  • 16. To measure long-term anomaly Task Post-measurements med (9:00-14:30) post1 (14:30-18:00) post2 (5:00-9:00) Day1 Day2 post n (to 21days) … … Day21 … … … Standard Protocol Condition: Nobody entered the pyramid for 21 days before Day 1. (Takagi, O., et al: Discovery of an anomalous non-contact effect with a pyramidal structure. International Journal of Sciences, 4(5): 42-51, 2015.)
  • 17. -0.1 0.0 0.1 0.2 0.3 0.4 0 5 10 15 20 Jvalue[Np] Time [day] Top of Pyramid Calibration Point Results Anomalous responses of bio-sensor were detected after the task at the top of the pyramid. It reached the maximum at Day 2, and then reduced gradually. Based on Takagi, et al (2015)
  • 18. Approximation of Calibrated J -0.05 0.05 0.15 0.25 0.35 0 2 4 6 8 10 12 14 16 18 20 CalibratedJvalue[Np] Time(day) The overall tendency of the calibrated J can be approximated by a simple equation. It suggests that this phenomenon follows a simple physical law (exponential function basically). Based on Takagi, et al (2015)
  • 19. Meanings of This Phenomenon This phenomenon occurs very slow. • Not easy to find it if researchers expect a real-time response. • Moreover, if a delayed effect of the previous test has continued, we will misunderstand results of a new test. This phenomenon is considered to have 2 steps: charging and converting. A person gives “energy (type X)” to the pyramid, then pyramid converts it to “energy (type Q)”. Type Q energy can be detected by cucumber sensor, but Type X energy can not be detected. It means that 2 kinds (at least) of “unknown” energy exist in our universe. Pyramid Energy (Type X) Energy (Type Q) Charging Converting
  • 20. Toward Future Study • Matter has a property relating to psi essentially. We should imagine a possibility that matter can generate psi phenomena if we succeed to set suitable conditions in the future. • Psi phenomena have complex properties. However, some properties seems to follow simple physical laws. • There is a possibility that several kinds of “psi-energy” exist in our universe. Such energies follow to their own physical laws. Thank you.
  • 21. Hideyuki Kokubo Institute for Living Body Measurements, International Research Institute In this lecture, both the terms of "power“, “energy” and "potential" are used only for convenience. The examination of the physical validities of these terms is a future subject. God aften!
  • 22. A Topic on Japan 統計数理研究所http://www.ism.ac.jp/ の「日本人の国民性調査」より 20 40 12 19 59 33 0 20 40 60 80 100 1958年 2013年 回答率 [%] 信じる どちらとも 信じないBelieve Not believe I can decide on neither. The Institute of Statistical Mathematics: A Study of the Japanese National Character: The 13th Nationwide Survey. Many modern Japanese believe “After Death”. Do you believe “After Death” ? (One of questions of a nationwide survey for the Japanese national character)
  • 23. A Short Review of Detection Method for Psi Zener cards Detection for conscious or unconscious responses. Researchers try to detect physiological and psychological responses using bio-sensors. Modern method using bio-sensors ESP: brain blood flow, EEG, ECG, EDA, etc. PK: animals, plants, cultured cells, etc. Psychokinesis measurement Detection for responses of sensors.
  • 24. Classic method 25 cards consist of 5 symbols. DT (down through) Subject guesses cards down through from the top of the deck. Zener cards Clairvoyance (classic method) ○ □ ○ ○ + ☆ Mean common expected of the hitting rate is 20%.
  • 25. Example A women student. 250 trials. Clairvoyance. DT method. Average of hits: 16.3 / run Total hit rate: 65.2% 0 1 2 3 4 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 1ラン25試行の得点 頻度 A 理論値 August 25th, 2009. The student was a Korean who had lived in Japan to learn Japanese language at that time.
  • 26. Concept of Bio-sensor Classic methods are useful. However, recent successful experiments are designed to measure physiological responses of bio-sensors. For example, • Presentiment experiments: Researchers measure skin conductance change (SCC) of subjects. • Staring experiments: Researchers measure EEG of receivers. • Telepathic experiments: Researchers measure brain blood flow of receivers. Researchers use human body as a kind of bio-sensors.
  • 27. Consciousness vs. Body Usually, our consciousness ignore small un- important signals even if our body detect them. Consciousness is Not sensitive for many stimuli. Body is more sensitive for many stimuli including psi signals. Light Gravity Smell Sound Radiation Electricity Magnetism Touch Taste Temperature Psi signals Humidity We can recognize a signal when we take attention to it. Our consciousness has a role as a filter to cut off noises. We should improve methodology to measure responses of body. Air pressure Memory
  • 28. Detection Stage for Psi Filter of consciousness Consciousness Unconsciousness Psi and psi-related signals Ganzheld ESP test is considered as a technique to suppress the activity of the filter of consciousness. Central nervous system Neurons Organs Tissues Cells Network of organelle Organelle Molecular machines
  • 29. -5s -4s -3s -2s -1s 1s 2s 3s 4s 5s EEG Change around Sending Odds Topography of Significance between Receiver's Alpha wave (1/p) Comparison between Sending and Non-Sending There are differences at Left Temporal lobe (-1s) and Right Occidental & Temporal lobes (4s) (Zhang, Yamamoto, Kokubo et al.2001)
  • 30. EEG Change of Animal Takeshige & Aoki reported that a qigong master succeeded to change EEG of a rabbit (1994). Takeshige C and Aoki T: Effect of artificial and human external qigong on electroencephalograms in rabbit and spontaneous electrical activity of the rat pineal gland, Acupunct Electrother Res 19(2-3), 89-106, 1994.
  • 31. Tissue of Pineal Body Takeshige & Aoki inserted a micro electro-probe into pineal body of a rabbit, and measure electric activity of the pineal body. Pineal body reacts to direction of geomagnetism. The rabbit was set on a turntable.
  • 32. Takeshige C and Aoki T: Effect of artificial and human external qigong on electroencephalograms in rabbit and spontaneous electrical activity of the rat pineal gland, Acupunct Electrother Res 19(2-3), 89-106, 1994. Reactions against geomagnetism Reactions against ki (qi) Tissue of rabbit’s pineal body can detect ki (psi signal).
  • 34. HeLa cells Exposed to X-ray 5 Gy 10 Gy Qigong masters tried to rescue injured cells. Colony formulations were counted. This experiment was done at the National Institute of Radiological Sciences (NIRS) in 1995.
  • 35. There was a difference of number of colonies formed between control and experiment. (Yamauchi,M. et al. 1996.) Cultured cells have ability to detect and respond to psi signals.
  • 36. Central nervous system Neuron Organ Tissue Cells Network of organelles Organelle Molecular machine Living system can detect psi Psi and psi-related signals Researchers have already examined that these systems can detect and react against psi or psi- related signals. Further studies are needed. Can “consciousness” detect psi or psi-related signals directly (without process on living body systems) ? It is a hypothesis. It has not been examined yet. ?
  • 37. Cucumis sativus ‘white spine type’ Cucumber (agruk): A New Bio-sensor Cucumber is originated from northern India Agruk Pepino japonês Pepino salada
  • 38. Cucumber as Bio-Sensor Cucumis sativus ‘white spine type’ I have developed 3 new measuring methods using cucumber pieces as bio- sensors for bio-PK power quantitatively. 1. Biophoton method (2006) 2. Gas method (2009) 3. Fluorescence method (2012) Pepino japonês In the present lecture, I will show results of measurements for controlled healing power.
  • 39. Cucumber as a biosensor Bio-PK acts on cucumber’s self- defense process. 2cm Control Experiment Piece of cucumber Injured surface A round slice of cucumber is a model of the injured living body. We can test healer’s ability to recover physical health. However, it is considered that estimating of mental healing ability is not easy by this bio-sensor.
  • 40. Biophotons, Gas & Fluorescence Biophotons Gas (Odor) Biosynthesis of green odor O2 Piece of cucumber 24h after UV Fluorescence Injured surface Bio-PK acts on cucumber’s self-defense process. (Blue-purple to green)
  • 41. Sensor for temperature & humidity Deodorant & moisturizer C2400-47 60mA/W at 400nm, 280-650nm Controls Experiments Healer T005 18 h Measurement
  • 42. Example: Non-healer (W006) Accumulation of 1h data 18 times (for 18 hours). Control Experiment
  • 43. Example: Healer (T005) Accumulation of 1h data 18 times (for 18 hours). Control Experiment
  • 44. Example: Healer vs. Non-healer Healer (T005) There is a significant difference of biophoton intensity between experiments and controls. 18h Accumulation. Non-healer (W006) There is not a significant difference of biophoton intensity between experiments and controls. 18h Accumulation. Control Experiment Control Experiment
  • 45. No-effects of heat and room light Various blank tests: heat, heat and room light, room light, and no-treatment. 30 min, at 24 ℃ room temperature. Heat Light Non-treatment Heat + Light
  • 46. 0 20000 40000 60000 80000 100000 Healing Heat Light Heat+Light Non- treatment AverageofIntensity [Counts/10000pixels] E C p = 6.5×10-7 Wilcoxon singed-rank test (two tails) n = 106 n = 32 n = 31 n = 16 n = 15 (About 15 healers)
  • 47. Comparing Healing with Others Condition n IE IC IE-IC p value J value Healing 106 88192 75890 12303 6.5×10-7 0.142 Thermal 32 77966 76435 1531 0.501 0.005 Covered 31 57270 55038 2232 0.308 0.045 Thermal & covered 16 64862 63295 1567 0.535 0.028 Exposed 15 69618 69857 -238 0.910 0.003 There was very significant difference of intensities between experiments and controls in healing (p=6.5×10-7, Wilcoxon signed-rank test, two tails). Kokubo, H. 2008
  • 48. Category of Bio-luminescence Strong Bio- luminescence Specific matter L-L reaction (luciferin- luciferase reaction) Firefly, luminous bacteria Fluorescent protein Non L-L reaction Jellyfish Ultra weak ultraweak CL Common matter Non-enzyme reaction Oxidation of fats and oils. Enzyme reaction Peroxidation of microsomal lipid ultraweak biophoton emission ultraweak dark CL Organ, cell ultraweak photo-CL Photochemical reaction of protein (Based on Inaba’s slide)
  • 49. Summary of Healing Tests Time Transition of Intensity of biophotons Bio-PK reaction occurs 5 hours after healing. -4000 0 4000 8000 12000 16000 0 5 10 15 20 Time [h] Intensity[Count/10000pixels] E C Phase I Phase II Phase III -2000 -1500 -1000 -500 0 500 1000 1500 2000 2500 0 5 10 15 20 時間 [h] 発光強度の差[個/1万画素] 実測値 近似値 )( kk kkA tktk 21 ee 12 210 -- - - Bio-PK reaction can be approximated by a simple equation. (About 15 healers, n=106) DifferencebetweenEandC
  • 50. 1pm 1nm 1μm 1mm 1m 1km 1000km X ray Infrared Radio wave (γ ray) UV Visual light Wavelength of Biophotons [nm] 380 - 430 430 - 460 460 - 500 500 - 570 570 - 590 590 - 610 610 - 780 Color Our system (C2400-47): 280-650nm. Ultraviolet and visual light. We measure visual light chiefly. Other researchers often measure visual light and infrared ray. Generally, intensity of infrared ray is extremely greater than ones of visual light. Therefore, they measure infrared ray chiefly.
  • 51. Difference between Cameras -2000 -1000 0 1000 2000 3000 4000 5000 6000 7000 0 5 10 15 20 Time [h] Intensity[Counts/10000pixels] E C n = 16 Maximum intensities are different. I.I. : CCD = 1: 3.7×104 Time transitions are different according to wave length. 0 20000000 40000000 60000000 80000000 100000000 120000000 140000000 160000000 0 5 10 15 20 Time [h]Intensity[Counts/10000pixels] E C I.I. camera [280–650nm] CCD camera [400-1000nm] n = 20 (ImagEM C9100-13)(I.I. C2400-47) Blank test Blank test Visual light chiefly Infrared ray chiefly
  • 52. Visual Light -2000 -1500 -1000 -500 0 500 1000 1500 2000 0 5 10 15 20 Time [h]DifferenceofIntensities [Counts/10000pixels] Kokubo, H. 2008 Average Intensity and SD Difference and 95% Confidence intervals -2000 -1000 0 1000 2000 3000 4000 5000 6000 7000 0 5 10 15 20 Time [h] Intensity[Counts/10000pixels] E C Blank test (n = 16) There is non significant difference between E and C
  • 53. Infrared Ray 0 20000000 40000000 60000000 80000000 100000000 120000000 140000000 160000000 0 5 10 15 20 Time [h] Intensity[Counts/10000pixels] E C Difference changes. Kokubo, H. 2007 Average Intensity and SD Difference and 95% Confidence Interval -15000000 -10000000 -5000000 0 5000000 10000000 15000000 20000000 25000000 0 5 10 15 20 Time [h] DifferenceofIntensities [Counts/10000pixels] Blank test (n = 20)
  • 54. Distribution of Intensity CCD camera. 18h AccumulationI.I. camera. 18h Accumulation CCD: The most active areas were the skin of samples. [Infrared ray] I.I.: The most active areas were flesh areas. [Visual light] Blank test Blank test (Visual light biophotons) (Infrared ray biophotons)
  • 55. Target Biophotons • The target biophotons is visual light from blue to green in our system. • These photons are considered to be generated by reactive oxygen chiefly. • The infrared biophotons are generated by various functional groups of molecules chiefly. 1. Intensities of biophotons are different. 2. Time transitions of intensity of biophotons are different. 3. The most active areas are different. We will get different information from samples if we measure different wavelength (visual light vs. infrared ray).
  • 56. Attention Please Kokubo, H. 2010 • Please be careful to wavelength of the biophoton sensor if you read reports. • You should consider that the majority of data are obtained from infrared ray if the sensor has sensitivity for infrared ray even if it also has sensitivity for visual light. • Data of infrared ray differ from data of visual light. • At least, in our laboratory, we have detected anomalous effects for bio-sensor in only visual light, not infrared ray.
  • 57. A Pair of Samples • Absolute values of bio-sensors are often different extremely because standard deviation of bio-parameters, such as length, weight, diameter, etc., are greater than ones of common physical sensors. Therefore, standardization of values are needed. • One of way is use of ratio. • If we make a pair of experimental and control samples, we can calculate a ratio of experimental and control values. • Therefore, I always make a pair of experimental and control samples. SD is very large. 0 1 SD becomes small. Ratio Comparison with paired control data
  • 58. Logarithm of Ratio • Ratio is useful if target value is larger than control value. • However, ratio is not symmetric between the case that target value becomes large and the case that target value becomes small. • Moreover, the absolute value of a ratio will not be the same if we exchange denominator with numerator, • These problems can be resolved if we use a logarithm of the ratio. 3 2 log 2 3 = - log • dB is 10 log10(x/y). dB is often used in electronics. 3 over 2 is not equal to 2 over 3.
  • 59. J value Left term Magnitude of bio-PK power (effects) Right term Natural logarithm of a ratio of physical values Calibrated J value for Analysis Kokubo, H. 2010 J = k ln ( E / C) E: experimental value. C: control value. k: coefficient and k = 1 tentatively. Jmain test ー Jcalibration test = calibrated J J value is defined as natural logarithm of ratio: E over C. [Np] (ネーパ)
  • 60. [Np] -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 Healing Thermal Screen Thermal+ Screen Non-treat. JValue J values Only J value of the healing test was not equal to zero. (p = 0.030, ANOVA)。 J values and 95% confidential intervals 106 32 31 16 15 Kokubo & Yamamoto: Journalof International Society ofLife InformationScience, 25, 219-232,2007. J = ln ( IE / IC) Healing effects is not caused by heat or shadow of hands. Heat+ Light Light Heat n = J values and 95% confidence intervals
  • 61. -0.100 0.000 0.100 0.200 0.300 0.400 0 20 40 60 Jvalue[Np](Gasandbiophoton) Number of Subjects Beginner 0~0.1 Veteran 0.1~0.2 Expert 0.2~0.3 Psychic > 0.3 測定 2009年11月~12月(ロット番号90831) Level 1 Level 2 Level 3 Level 4 We can classify the magnitude of bio-PK power by J value Level 5 Psychic level healer can be estimated as fewer than 1 per 10000 healers. (1 dB)
  • 62. Cucumber Series No. 7 • Date: June, 2008 to December, 2008 • Healers Group A: 10 beginners (Practice term is shorter than 3 years or practice clients are few than 100 clients). Group B: 14 Veterans. • Age: from 27 to 70 years. Average: 49.1 (SD=12.9) • 22 Japanese, 1 American, 1 Israel. • Task: To increase biophotons of cucumber samples.
  • 63. Series No. 7 (June – December, 2008) • Average J value of each healer. Each healer did 2 trials. • There was no significant difference of J value between groups A & B. -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 S013 I001 L001 M007 M004 S011 M006 K015 K014 Y004 U003 P001 N007 F004 I002 M003 T011 O003 K010 T010 T009 S012 K013 M005 GroupA GroupB All Jvalue[Np] Group A J = 0.081 Group B J = 0.086 All J = 0.084
  • 64. Correlation with Basic Parameter -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0 20 40 60 80 Age Jvalue(ControlledHealingPower) A B r = -0.487 p = 0.016 (two tails) R2 = 0.237 There was a negative weak correlation between Healer’s age and J value. • In our studies, healer’s age often shows a correlation with J value although other biological parameters such as height and weight do not. • However, direction of positive/negative of correlation is not stable. • We have not succeeded to identify any important factors which can be influenced by healer’s age.
  • 65. Gas Method Cucumber piece biophotons Green Odor (cucumber gases) Biosynthesis of Green Odor Amount of gases • Cucumber gases (odor) are generated when cucumber are cut and contacted the oxygen in the air. • A part of biophotons is generated on process of biosynthesis of green odor. • Amount of gases relates to the intensity of biophotons. • Therefore, we can measure effects of healing through measurements of amount of gases, not only biophotons. Oxygen in the air
  • 66. Biosynthesis of Green Odor Phospholipids and Neutral lipids O2 lipase Alpha-linolenic acid and Linoleic acid O2 lipoxygenase (LOX) Hydroperoxides fatty acid hydroperoxidelyase (HPOL) C9/C6 aldehyde and alcohol 8-holmyl octanoic acid 11-holmyl undecenoic acid Biosynthesis of green odor starts automatically when oxygen in the air contacts the cutting surface of a cucumber piece. The major component of cucumber gases is violet leaf aldehyde (52.6%). Green Odor
  • 67. Role of Biosynthesis of Green Odor • Green odor is a kind of disinfectant. • Biosynthesis of green odor is a kind of self-defense mechanisms against illness and insects. • All green plants have this mechanism. • Therefore all green plants are useful as bio-sensors theoretically. • Cucumber is a good plants because of practical reasons; shape and easiness of obtaining. • In our methods, we use slice (injured) pieces of cucumber and healers try to act on cucumber’s self- defense. In this meaning, our methods are designed as a model of clinical situations of healing.
  • 68. Gas Method J value J value is an index of healing power Control Experiment A healer does non-contact healing against Experimental dish for 30 min. ExperimentControl Paired dishes 24h in container 24h in container Gas measurement Comparison Non-treatment 30-min healing Gas measurement Cucumber pieces 2cm Control Experiment Healing Sample pair is made from cucumber.
  • 69. Label Making a Sample Set for a Trial Labels are set after randomization. 4 paired-dishes are made from 4 cucumbers. 1 1 1 1 1 1 1 1 1 1 1 1 Flower side Controls Experiments 234 44 3 2 3 2 2 paired-dishes are used for a calibration test. 2 paired-dishes are used for a healing test. SCAT: simultaneous calibration technique.
  • 70. Gas Container Clipped by a pinchcock Clipped by a pinchcock 230mm Samples PumpDetector 145mm 160mm 80mm φ7.1mm 80mm 40mm Rubber tube Rubber tube 2.2 L sealed plastic containers. Containers are kept in a room at 24 C for 24 hours, without exposure to sunlight. Biosynthesis of green odor products gases proceeded using oxygen in the air in the container. Gas-measuring detector tube (141L, Gastec, Japan)
  • 71. Subject and Controls/Blank S Room A Room B C 12m Front E1 E2 S 25cm or 50cm Right BackLeft Field Measurements Measurement of Bio-PK Field Measuring points are set in front-back and right-left directions. Healing Measurements E1, E2 are the targets of healing. Petri dishes are covered by paper towels.
  • 74.
  • 75. Gas containers were kept in shelves. About 130 containers were used for one experiment.
  • 76. Shelves were covered with thick cloths to avoid winds.
  • 77. Pairs of tubes were made before gas operation Before After sorting tubes, pairs of tubes were made.
  • 78. Washing is a hard work Gas Measurements
  • 79. Results of Healing Tests Psychic healers showed significant J value Average J = 0.111 (n = 8), p = 0.017, two tails, t-test. Volunteer healers showed significant J value Average J = 0.124 (n =20), p = 0.003, one tail, t-test. Subjects • 2 psychic healers W003 (female, 41y), W004 (female, 43y). • 5 volunteer healers (3 males, 2 males) who are considered to have strong power. Their average age was 53.2 y.
  • 80. Individual Patterns of Psychics W003 (Average of 2 data) W004 (Average of 2 data) 3D graphs are drawn using linear interpolation of points which distances from the origin are the same. Right Front Right Front [m] [m] [m] [m] J [Np] J [Np]
  • 81. Individual Results of Psychics W003 (Average of 2 data) W004 (Average of 2 data) These distributions are symmetric obviously in left-right direction. Front Front Right Right View from Upper Direction [m] [m] [m] [m]
  • 82. Average Pattern of Psychics (4 data) -0.4 -0.2 0.0 0.2 0.4 This wave-like pattern is considered as a basic pattern of bio-PK potential. J [Np] FrontRight [m] [m] J [Np]
  • 83. Average Pattern of Psychics (4 data) -0.4 -0.2 0.0 0.2 0.4 Bio-PK potential is not Coulomb potential. Front Right J [Np] View from Upper Direction [m] [m]
  • 84. Discussion 1: Wave-like Potential 1. Wave-like potential means a Layer-structure which has been claimed empirically. 2. Reverse-potential areas exist. It suggests the importance of direction and distance in experiments. Moreover, some kinds of psi-missing may be caused by reverse-potential areas. 3. Bio-PK fields are cancelled if they are interacted each other at random. Therefore, psi is not remarkable in our daily life.
  • 85. Discussion 1: Wave-like Potential + (λ- z2) J = 02 2 dz Jd 4. Wave phenomena can cause tunneling phenomena. Wave-like potential of psi suggests that psi can pass through a wall like sounds can pass through a wall and reach to outside of a room. 5. Approximated equations can be discussed. Now we have discussed a differential equation following that, Our interest is focused on a quantum harmonic oscillator tentatively. It is one of possible models.
  • 86. Healer Type and Pattern Type ID Trial J value [Np] Laying-on-of-hands O004 1st trial 0.281 Image-formulating S012 2nd trial 0.231 Laying-on-of-hands K020 2nd trial 0.193 Qigong K007 2nd trial 0.148 Image-formulating S012 1st trial 0.120 Laying-on-of-hands O004 2nd trial 0.102 Laying-on-of-hands K020 1st trial 0.097 Qigong K007 1st trial 0.096 Qigong S015 1st trial 0.001 Qigong S015 2nd trial -0.039 Qigong type healers showed lower J values. Their patterns were extension patterns
  • 87. Upper 5 Data Lower 5 Data Concentration pattern Extension pattern Details of Volunteer Healers Front FrontRight Right [m] [m] [m] [m] J [Np] J [Np] J [Np]
  • 88. Upper 5 Data Lower 5 Data Concentration pattern Extension pattern Details of Volunteer Healers Front Front Right Right View from Upper Direction [m] [m] [m] [m] J [Np]
  • 89. Laying-on-of-hands and image-formulating type healers often show the concentration pattern. Concentration Mixed Pattern of Trial Data (not averaged)
  • 90. Qigong type healers often show the extension pattern. Concentration Extension Pattern of Trial Data (not averaged)
  • 91. Individual Averaged Patterns Front Right O004 K020 S012 S015K007 Qigong healers Laying-on-of-hands and Image-formulating healers J [Np]
  • 92. Type of Healer and Healing Way Laying-on-of-hands healer Qigong healer They are familiar with distant therapy (2-3 m). They are familiar with close therapy. Concentration pattern Extension pattern
  • 93. Discussion 2 Pattern of Bio-PK Field and Healing Way • The pattern of bio-PK field is considered as depended on healing ways. • There is a possibility that we can categorize healing ways by their averaged patterns of bio-PK field in future. • Moreover, we may be able to estimate healer’s degree of skills of controlling power through stability of his pattern.
  • 94. Average of Volunteer Healers (10 data) -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 Jvalue Totally, volunteer healers showed a spiral pattern. FrontRight [m] [m] J [Np] J [Np]
  • 95. Average of Volunteer Healers (10 data) -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 Jvalue Totally, volunteer healers showed a spiral pattern. Front Right View from upper direction [m] [m] J [Np]
  • 96. Discussion 3: Reasons of Spiral Pattern The reasons of the spiral pattern are unknown at present day. There is a possibility that, Healers controlled their power like a spiral (a way of healing). Training Way of a Brazilian Spiritist http://www.consciencial.org/cd_prat_bio_v2.htm • Brazilian spiritists know a training way to control bio- energy. • They try to turn focus points around their bodies.
  • 97. Fluorescence of Suspension of Cucumber With skin Milk color Without skin UV lamp Dark red (Chlorophyll)
  • 98. Fluorescence from Suspension of Cucumber UV lamp Dark red fluorescence of Chlorophyll Just after making 48h after Blue fluorescence can be seen by naked eyes.
  • 99. Paper Chromatograph of Suspension of Cucumber (Dry state) Blue to Green & Red fluorescence UV lamp
  • 100. Fluorescence Measurement System I.I. camera C2400-47, 60mA/W at 400nm, 280-650nm Band pass filters 438.0nm, 482.5nm, 534.5nm, 562.0nm, (full width at half maximum, 28-48nm) OD > 6 UV lamp FL4LB-B 352nm UV-pass filter U330 438.0nm 482.5nm 534.5nm 562.0nm
  • 101. Example of FL Method 438nm band 483nm band Intensity of fluorescence ExperimentsControls Controls Experiments Fluorescence method is used with Gas method usually.
  • 102. Band Pass Filter (BPF) X rayray UV ray IR Radio wave Visible light Wave length (nm) 380~ 430 430~ 460 460~ 500 500~ 570 570~ 590 590~ 610 610~ 780 color BPF allows specific wavelength light passes. 483nm BPF
  • 103. Method -1 Term and Place Experimental trials were done in 2012 from February 27 to March 30 and June 30 to August at the IRI. Participants Practitioners of non-contact healing (energy medicine type) (2 males, 9 females; average age was 44.1 y). They had training and experience in Reiki, various spiritual healing methods (Transformational Healing, Craniosacral Biodynamics, Quantum Touch, etc.), and qigong, as well as experience in their own ways. The major ways were their own ways at that time. Self-judgment of the grade of their skills was given as Level A (beginner) and B (veteran).
  • 104. Table 1 Healers ID Level Gender Age (y) No. of trials Main way of healing A011 A f 43 4 FOL (Flower of Life) H006 B f 54 4 Remote healing (own way) K013 B m 49 2 Own way K021 B f 51 2 Qigong K022 A m 23 2 Own way M008 A f 47 2 Remote healing (own way) M009 A f 35 4 Own way O005 B f 49 2 Own way S012 B f 47 4 Craniosacral biodynamics S016 A f 40 2 Reconnective healing S017 A f 47 4 Own way Level: A, beginner; B, veteran.
  • 105. Dendrogram 0510 1 5 16 13 2 6 12 11 3 7 14 15 4 9 8 10 Pattern Analysis of Trial Data • Relationships between JG and JF values were complicated more than our expectations. • Therefore, we analyzed combined patterns of J values by cluster analysis (Ward method, standardized Euclidean distance). • Trial data of healing were categorized into 3 patterns. -0.600 -0.400 -0.200 0.000 0.200 0.400 0.600 Gas 438nm 483nm 535nm 562nm JvalueJvalue[Np]
  • 106. Patterns of Trial Data of Healing Tests -0.600 -0.400 -0.200 0.000 0.200 0.400 0.600 Gas 438nm 483nm 535nm 562nm Jvalue Pattern I M009-2 K021-1 S017-2 K021-2 -0.600 -0.400 -0.200 0.000 0.200 0.400 0.600 Gas 438nm 483nm 535nm 562nm Jvalue Pattern II M009-1 S017-1 A010-2 H006-1 -0.600 -0.400 -0.200 0.000 0.200 0.400 0.600 Gas 438nm 483nm 535nm 562nm Jvalue Pattern III K013-1 S012-1 H006-2 A010-1 K013-2 S012-2 O005-2 O005-1 -0.600 -0.400 -0.200 0.000 0.200 0.400 0.600 Gas 438nm 483nm 535nm 562nm Jvalue
  • 107. Discriminant Function -4 -3 -2 -1 0 1 2 3 4 -10 -5 0 5 10 DiscriminantFunction2 Discrininant Function 1 Pattern I Pattern II Pattern III These patterns are considered as reflections of different healing ways. Correctly assigned:100% fi = Σai,jxi,j + ci Function Wilk's Λ Bartlett's χ2 df p value 1 0.0089 51.9701 10 1.16×10-7 2 0.1856 18.5230 4 0.0010
  • 108. Discriminant Function Gas 438nm 483nm 535nm 562nm Constant Correctly assigned Function 1 19.9624 1.3094 -2.1901 -2.4852 -17.6991 -5.0496 100% Function 2 -1.1088 -4.4837 8.4911 2.3105 1.3024 0.0488 Coefficients of Discriminant Functions Function Wilk's Λ Bartlett's χ2 df p value 1 0.0089 51.9701 10 1.16×10-7 2 0.1856 18.5230 4 0.0010 Details of Discriminant Functions
  • 109. Result-1 Cluster Analysis -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 Gas 438nm 483nm 535nm 562nm CaribartedJvalue -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 Gas 438nm 483nm 535nm 562nm CarbiratedJvalue -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 Gas 438nm 483nm 535nm 562nm CaribratedJvalue -0.4 -0.2 0.0 0.2 0.4 Gas 438nm 483nm 535nm 562nm CalibratedJvalue Pattern III Pattern II Pattern I Pattern I Pattern II Pattern III [Np] [Np] [Np] [Np]
  • 110. Pattern Analysis of Trial Data • Relationships between JG and JF values [Np] were complicated more than our expectations. • Therefore, we analyzed patterns of J values by cluster analysis. ID Data No. Gas 438nm 483nm 535nm 562nm Cluster I (Pattern I) K021-2 10 -0.001 -0.200 0.451 -0.361 -0.462 S017-2 8 0.123 -0.363 0.278 0.005 -0.375 K021-1 9 0.192 -0.133 0.296 0.033 -0.260 M009-2 4 0.234 -0.134 0.238 0.113 -0.319 Cluster II (Pattern II) H006-1 15 0.074 -0.013 0.017 -0.556 -0.530 A010-2 14 0.107 -0.048 -0.109 -0.555 -0.295 S017-1 7 0.229 0.054 -0.170 -0.375 -0.215 M009-1 3 0.243 -0.020 -0.157 -0.190 -0.173 Cluster III (Pattern III) O005-1 11 0.127 0.363 0.150 -0.152 0.148 O005-2 12 0.109 -0.116 0.099 0.256 0.047 S012-2 6 0.220 -0.078 -0.088 -0.111 0.176 K013-2 2 0.185 -0.041 0.061 -0.034 0.061 A010-1 13 0.018 -0.162 -0.216 -0.286 0.018 H006-2 16 -0.047 -0.006 -0.041 0.268 -0.138 S012-1 5 0.001 0.121 -0.190 0.050 -0.028 K013-1 1 -0.150 0.019 0.057 -0.173 -0.194 0 5 10 1 5 16 13 2 6 12 11 3 7 14 15 4 9 8 10
  • 111. Discussion • It is expected that there are common properties among various healing ways. • There is a possibility that we can categorize various healing ways using data patterns. Various healing ways Way-1 Way-2 Way-3 • Pattern-I • Pattern-II • Pattern-III Way-1 Way-2 Way-3 School-01 Way-2 School-01 Way-1 School-02 Way-2 School-01 Way-3 School-02 Way-1 School-02 Way-3 School-01 School-02 Re-categorization by response pattern
  • 112. Categorization of Healing Ways Multiple channel measurements using J value Target (bio-sensor) Data patterns Multivariate analysis Bio-PK Ways / Techniques Study on Mechanisms of Bio-PK Questionnaire survey Cluster analysis Categorical PCA
  • 113. Questionnaire A (Healing ways) H- item Items of Healing Ways H-item Items of Healing Ways H01 I remove bad energy from a client H14 I order to the origin of the world H02 I input good energy to a client H15 I obtain help of higher entities H03 I improve quality of a client’s energy H16 I pray for a client’s recovery H04 I improve a client’s energy circulation H17 I re-write or activate a client’s DNA H05 I adjust energy balance of a client H18 I introduce a client to grounding H06 I release a client’s emotion(s) H19 I activate client’s chakras H07 I improve a client’s immunological power. H20 I strengthen a client’s Tan-den H08 I hold a memorial service for bad spirits H21 I do aura clearing H09 I use the spirit of language H22 I guide a client with words H10 I use mantra H23 I use clairvoyance on client’s conditions H11 I use symbols H24 I use channeling H12 I adjust a client’s body balance H25 I use a breathing method H13 I formulate an image to restore a client’s health H26 I cure the client’s soul
  • 114. Questionnaire B (Client’s response) CL- item Items of Healing Ways CL- item Client’s responses H 01 … H2 6 CL01 Feeling of warmness CL14 Appearance of a vision CL02 Feeling of smoothness CL15 Receipt of a message CL03 Breathing becomes easier CL16 Disappearance of bad energy CL04 Feeling of vibration CL17 The body becomes more vivid CL05 Movement of stomach and intestines CL18 The spirit becomes more vivid CL06 Coughing, belching or farting occur CL19 Feeling of freedom CL07 Tears fall CL20 Feeling of sleepiness CL08 Body conditions are restored CL21 Disappearance of negative feelings, such as uneasiness and anger CL09 Unconscious movement of body CL22 Alternative states of consciousness occur CL10 Feeling of weightlessness CL23 Increase of happiness CL11 Re-construction of the center of the body CL24 Feeling of clear vision CL12 Recovery of body balance or correction of posture CL25 Feeling of oppression CL13 Detection of a light CL26 Temporary pain is felt
  • 115. Questionnaire A (Healing ways) Questionnaire B (Client’s response) H-item Items of Healing Ways CL-item Client’s responses H 01 … H 26 H01 I remove bad energy from a client CL01 Feeling of warmness H02 I input good energy to a client CL02 Feeling of smoothness H03 I improve quality of a client’s energy CL03 Breathing becomes easier H04 I improve a client’s energy circulation CL04 Feeling of vibration H05 I adjust energy balance of a client CL05 Movement of stomach and intestines H06 I release a client’s emotion(s) CL06 Coughing, belching or farting occur H07 I improve a client’s immunological power. CL07 Tears fall H08 I hold a memorial service for bad spirits CL08 Body conditions are restored H09 I use the spirit of language CL09 Unconscious movement of body H10 I use mantra CL10 Feeling of weightlessness H11 I use symbols CL11 Re-construction of the center of the body H12 I adjust a client’s body balance CL12 Recovery of body balance or correction of posture H13 I formulate an image to restore a client’s health CL13 Detection of a light H14 I order to the origin of the world CL14 Appearance of a vision H15 I obtain help of higher entities CL15 Receipt of a message H16 I pray for a client’s recovery CL16 Disappearance of bad energy H17 I re-write or activate a client’s DNA CL17 The body becomes more vivid H18 I introduce a client to grounding CL18 The spirit becomes more vivid H19 I activate client’s chakras CL19 Feeling of freedom H20 I strengthen a client’s Tan-den CL20 Feeling of sleepiness H21 I do aura clearing CL21 Disappearance of negative feelings, such as uneasiness and anger H22 I guide a client with words CL22 Alternative states of consciousness occur H23 I use clairvoyance on client’s conditions CL23 Increase of happiness H24 I use channeling CL24 Feeling of clear vision H25 I use a breathing method CL25 Feeling of oppression H26 I cure the client’s soul CL26 Temporary pain is felt
  • 116. Patterns and Healing ways Chakra-Activating Type Pattern-I Pattern-II Pattern-III DNA-rewriting (Language- leading) Type Energy-Circulation- Improvement Type Competitive Inhibitive Mechanisms of these ways are different. Spiritual responses Recovery of body conditions Temporary pain Kokubo et al.: Journal of International Society of Life Information Science, 31, 161-181, 2013.
  • 117. Discussion - 1 Correspondence analysis showed similar results. It is considered to support the present results. However, the present study is our first attempt to analyze relationships among healing ways and response patterns of bio-sensors. There are several problems which should be resolved. • Both H- and CL-items are 26 items each. 30 data is smaller than them. More data are needed. • Some questionnaire items should be improved. • There is a possibility that significant relationships may be found among items which were judged as having no relationship in the present study if we collect more data and expand the range of our discussion in the future.
  • 118. Concept “Bio-PK” The present study shows that different healing ways exist. The reasons for differences of mechanisms or properties are considered as: (1) Target parts or biochemical reaction systems are different. (2) Their physical mechanisms differ, for example, sound waves and electromagnetic waves are different physical phenomena. (3) Properties of healing “actions” differ just like Rock 'n' Roll music differs from classic music. We cannot judge those possibilities at present. However, we need an assumption that some kinds of bio-PK phenomena have different physical mechanisms.
  • 119. Toward Future Study Biophysical study has suggested possibilities that, • There are several kinds of unknown factors (energies) which relates to psi phenomena. • Those factors seem to follow to own physical laws. • Psi phenomena consist of several unknown factors. It is the reason that psi phenomena are complex and often seem to transcend the modern physics apparently. • These factors can be measured if we succeed to develop suitable technologies.