Current Opinion in Behavioral Sciences,
Год журнала:
2024,
Номер
58, С. 101397 - 101397
Опубликована: Май 12, 2024
In
this
paper,
we
introduce
a
new
perspective
where
imagination
is
identified
as
the
generativity
of
mental
imagery
and
imaginings,
or
imaginative
(IG),
characterized
by
diverse
array
multisensory
formats,
symbolic
types,
activities
(mental
synthesis).
Reviewing
evidence
spanning
evolution
cognition
in
hominids
some
nonhuman
species,
highlight
significance
IG
Paleolithic
symbolism
findings
from
experimental
studies
behavioral
cognitive
neuroscience
on
perception
imagery.
Our
analysis
also
includes
synthesis
extensive
bibliometric
literature.
We
conclude
that
consciousness
its
phenomenology
rely
vivid
representing,
optimization
strategy
to
navigate
challenges
instability,
ambiguity,
limitations
perception,
memory
consciousness,
crucial
for
survival
adaptation.
review
suggests
imagination,
akin
phenotypic
traits,
plays
critical
role
natural
selection,
highlighting
importance
including
process
variations
within
framework
selection.
not
only
deepens
understanding
evolutionary
development
but
emphasizes
simulation
foresight
key
components
fitness.
Integrative Psychological and Behavioral Science,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 20, 2024
Abstract
The
concept
of
free
will
has
challenged
physicists,
biologists,
philosophers,
and
other
professionals
for
decades.
constrained
disorder
principle
(CDP)
is
a
fundamental
law
that
defines
systems
according
to
their
inherent
variability.
It
provides
mechanisms
adapting
dynamic
environments.
This
work
examines
the
CDP's
perspective
concerning
various
theories.
Per
CDP,
lack
intentions,
"freedom"
select
act
built
into
design.
embedded
within
response
range
determined
by
boundaries
systems'
built-in
self-generating
mechanism
enables
cope
with
perturbations.
According
neither
dualism
nor
an
unknown
metaphysical
apparatus
dictates
choices.
Brain
variability
facilitates
cognitive
adaptation
complex,
unpredictable
situations
across
Human
behaviors
decisions
reflect
underlying
physical
in
brain
organs
dealing
noises.
Choices
are
not
predetermined
but
ongoing
processes
prssu½res.
Malfunctions
disease
states
characterized
inappropriate
variability,
reflecting
inability
respond
adequately
Incorporating
CDP-based
interventions
can
overcome
malfunctions
improve
decision
processes.
second-generation
artificial
intelligence
platforms
being
evaluated
augment
personal
development,
wellness,
health.
ImmunoTargets and Therapy,
Год журнала:
2024,
Номер
Volume 13, С. 525 - 539
Опубликована: Окт. 1, 2024
Lack
of
response
to
immunotherapies
poses
a
significant
challenge
in
treating
immune-mediated
disorders
and
cancers.
While
the
mechanisms
associated
with
poor
responsiveness
are
not
well
defined
change
between
among
subjects,
current
methods
for
overcoming
loss
insufficient.
The
Constrained
Disorder
Principle
(CDP)
explains
biological
systems
based
on
their
inherent
variability,
bounded
by
dynamic
boundaries
that
internal
external
perturbations.
Inter
intra-subject
variability
characterize
immune
system,
making
it
difficult
provide
single
therapeutic
regimen
all
patients
even
same
over
time.
dynamicity
is
also
personalizing
immunotherapies.
CDP-based
second-generation
artificial
intelligence
system
an
outcome-based
platform
incorporates
personalized
signatures
into
may
improving
treatments.
offer
method
identifying
new
biomarkers
early
diagnosis,
monitoring
immune-related
disorders,
evaluating
Aging
is
a
complex
biological
process
with
multifactorial
nature
underlined
by
genetic,
environmental,
and
social
factors.
In
the
present
paper,
we
review
several
mechanisms
of
aging
pre-clinically
clinically
studied
anti-aging
therapies.
Variability
characterizes
processes
from
genome
to
cellular
organelles,
biochemical
processes,
whole
organs’
function.
associated
alterations
in
degrees
variability
complexity
systems.
The
constrained
disorder
principle
defines
living
organisms
based
on
their
inherent
within
arbitrary
boundaries
as
having
lower
or
moving
outside
variability.
We
focus
associations
between
hallmarks
discuss
roles
systems
pathogenesis
aging.
paper
presents
concept
implementing
disease
principle-based
second-generation
artificial
intelligence
for
improving
modalities.
platform
uses
noise
enhance
systems’
efficiency
slow
process.
Described
potential
use
patients
chronic
its
implications
aged
population.
Journal of Medicine and Life,
Год журнала:
2025,
Номер
18(1), С. 67 - 72
Опубликована: Янв. 1, 2025
Interactions
between
immune
system
constituents
are
mediated
through
direct
contact
or
the
transfer
of
mediators.
The
study
aimed
to
assess
correlation
components
and
out-of-body
signals
in
a
model
liver
inflammation.
In
first
experiment,
mice
injected
with
Concanavalin
A
(ConA)
were
housed
cage
tube
on
top
containing
healthy
livers
harvested
from
ConA.
second
that
contained
splenocytes
naïve
donors
treated
vitro
dexamethasone.
Mice
tested
for
serum
aspartate
aminotransferase
(AST)
alanine
(ALT)
levels.
External
whole
spleens
influenced
immune-mediated
inflammatory
response
mice.
When
ConA-injected
cages
tubes
mice,
ALT
levels
significantly
reduced.
elevated
when
kept
part
ConA
had
increased
Similarly,
dexamethasone-treated
also
showed
data
suggest
correlations
can
be
established
using
without
Biology,
Год журнала:
2025,
Номер
14(4), С. 339 - 339
Опубликована: Март 25, 2025
The
constrained
disorder
principle
(CDP)
defines
complex
biological
systems
based
on
inherent
variability.
Allostasis
refers
to
the
physiological
processes
that
help
maintain
stability
in
response
changing
environmental
demands.
Allostatic
load
describes
cumulative
wear
and
tear
body
resulting
from
prolonged
exposure
stress,
it
has
been
suggested
mediate
relationship
between
stress
disease.
This
study
presents
concepts
of
CDP
allostasis
while
discussing
their
similarities
differences.
We
reviewed
current
literature
potential
benefits
introducing
controlled
doses
noise
into
interventions,
which
may
enhance
effectiveness
therapies.
paper
highlights
promising
role
variability
provided
by
a
CDP-based
second-generation
artificial
intelligence
system
improving
health
outcomes.
Biology,
Год журнала:
2025,
Номер
14(4), С. 349 - 349
Опубликована: Март 27, 2025
The
Constrained
Disorder
Principle
(CDP)
offers
a
new
framework
for
understanding
how
biological
systems
use
and
manage
noise
to
maintain
optimal
functionality.
This
review
explores
the
relationship
between
at
various
scales,
including
genetic,
cellular,
organ
levels,
its
implications
system
malfunctions.
According
CDP,
all
require
an
range
of
function
appropriately,
disease
states
can
arise
when
these
levels
are
disrupted.
presents
evidence
supporting
this
principle
across
different
contexts,
such
as
genetic
variability,
cellular
behavior,
brain
functions,
human
aging,
evolution,
drug
administration.
For
accurate
clinical
assessments,
it
is
essential
distinguish
technical
variability
intrinsic
variability.
When
adequately
constrained,
serves
fundamental
mechanism
adaptation
functioning
rather
than
simply
source
disruption.
These
findings
have
important
developing
more
effective
therapeutic
strategies
systems’
dynamics.
CDP-based
second-generation
artificial
intelligence
help
regulate
address
improved
outcomes
in
conditions
by
incorporating
controlled
randomness.
Understanding
patterns
has
significant
diagnosis,
treatment
monitoring,
development
medical
conditions.
Advances in respiratory medicine,
Год журнала:
2023,
Номер
91(5), С. 350 - 367
Опубликована: Сен. 9, 2023
Variability
characterizes
breathing,
cellular
respiration,
and
the
underlying
quantum
effects.
serves
as
a
mechanism
for
coping
with
changing
environments;
however,
this
hypothesis
does
not
explain
why
many
of
variable
phenomena
respiration
manifest
randomness.
According
to
constrained
disorder
principle
(CDP),
living
organisms
are
defined
by
their
inherent
bounded
boundaries.
The
present
paper
describes
mechanisms
breathing
focusing
on
variability.
It
defines
how
CDP
accounts
variability
randomness
in
respiration.
also
provides
scheme
potential
role
energy
balance
biological
systems.
option
using
CDP-based
artificial
intelligence
platforms
augment
respiratory
process's
efficiency,
correct
malfunctions,
treat
disorders
associated
system.
Biology,
Год журнала:
2024,
Номер
13(10), С. 830 - 830
Опубликована: Окт. 16, 2024
Uncertainty
in
biology
refers
to
situations
which
information
is
imperfect
or
unknown.
Variability,
on
the
other
hand,
measured
by
frequency
distribution
of
observed
data.
Biological
variability
adds
uncertainty.
The
Constrained
Disorder
Principle
(CDP)
defines
all
systems
universe
their
inherent
variability.
According
CDP,
exhibit
a
degree
necessary
for
proper
function,
allowing
them
adapt
changes
environments.
Per
while
differs
from
uncertainty,
it
can
be
viewed
as
regulated
mechanism
efficient
functionality
rather
than
This
paper
explores
various
aspects
un-certainties
biology.
It
focuses
using
CDP-based
platforms
refining
fuzzy
algorithms
address
some
challenges
associated
with
biological
and
medical
uncertainties.
Developing
decision
tree
that
considers
natural
help
minimize
method
reveal
previously
unidentified
classes,
reduce
number
unknowns,
improve
accuracy
modeling
results,
generate
algorithm
outputs
are
more
biologically
clinically
relevant.