Royal Society Open Science,
Journal Year:
2025,
Volume and Issue:
12(4)
Published: April 1, 2025
Questionnaire
measures
are
central
to
many
areas
of
study
within
the
psychological
sciences.
However,
they
often
place
a
heavy
burden
on
participants;
questionnaires
frequently
lengthy
and
unengaging,
with
participants
required
complete
multiple
single
study,
this
results
in
lower
data
quality,
increased
cost
poor
participant
experience.
Here,
we
introduce
straightforward
method
for
creating
short
versions
existing
that
able
accurately
determine
participants’
sum
scores,
subscale
scores
or
factor
scores.
Our
method,
referred
as
Factor
Score
Item
Reduction
Lasso
Estimator,
uses
Lasso-regularized
regression
select
items
weight
them
such
true
can
be
predicted
from
reduced
item
set.
We
demonstrate
performance
an
example
dataset,
provide
code
guidance
implementing
approach.
Psychological Medicine,
Journal Year:
2023,
Volume and Issue:
54(2), P. 359 - 373
Published: June 28, 2023
Childhood
is
a
crucial
neurodevelopmental
period.
We
investigated
whether
childhood
reading
for
pleasure
(RfP)
was
related
to
young
adolescent
assessments
of
cognition,
mental
health,
and
brain
structure.
Prior
studies
have
found
metacognitive
biases
are
linked
to
a
transdiagnostic
dimension
of
anxious-depression,
manifesting
as
reduced
confidence
in
performance.
However,
previous
work
has
been
cross-sectional
and
so
it
is
unclear
if
under-confidence
trait-like
marker
anxious-depression
vulnerability,
or
resolves
when
improves.
Data
were
collected
part
large-scale
transdiagnostic,
four-week
observational
study
individuals
initiating
internet-based
cognitive
behavioural
therapy
(iCBT)
antidepressant
medication.
Self-reported
clinical
questionnaires
perceptual
task
performance
gathered
assess
bias
at
baseline
4-week
follow-up.
Primary
analyses
conducted
for
who
received
iCBT
(n=649),
with
comparisons
between
smaller
samples
that
medication
(n=82)
control
group
receiving
no
intervention
(n=88).
treatment,
severity
was
associated
the
arm,
replicating
work.
From
follow-up,
levels
significantly
reduced,
this
accompanied
by
significant
increase
arm
(β=0.17,
SE=0.02,
p<0.001).
These
changes
correlated
(r(647)=-0.12,
p=0.002);
those
greatest
reductions
had
largest
confidence.
While
three-way
interaction
effect
time
on
not
(F(2,
1632)=0.60,
p=0.550),
increased
(β=0.31,
SE
=
0.08,
p<0.001),
but
among
controls
(β=0.11,
0.07,
p=0.103).
Metacognitive
state-dependent;
symptoms
improve
does
Our
results
suggest
specific
type
intervention.
Cognition,
Journal Year:
2024,
Volume and Issue:
247, P. 105783 - 105783
Published: April 6, 2024
How
do
people
decide
between
maintaining
information
in
short-term
memory
or
offloading
it
to
external
reminders?
does
this
affect
subsequent
memory?
This
article
presents
a
simple
computational
model
based
on
two
principles:
A)
items
stored
brain-based
occupy
its
limited
capacity,
generating
an
opportunity
cost;
B)
reminders
incur
small
physical-action
cost,
but
capacity
is
effectively
unlimited.
These
costs
are
balanced
against
the
value
of
remembering,
which
determines
optimal
strategy.
Simulations
reproduce
many
empirical
findings,
including:
1)
preferential
high-value
items;
2)
increased
at
higher
loads;
3)
can
cause
forgetting
offloaded
('Google
effect')
4)
improved
for
other
('saving-enhanced
memory');
5)
reduced
saving-enhanced-memory
effect
when
unreliable;
6)
influence
item-value:
may
preferentially
offload
and
store
additional
low-value
memory;
7)
greatest
sensitivity
effort
reminder-setting
intermediate
rather
than
highest/lowest
levels
task
difficulty;
8)
individuals
with
poorer
ability.
Therefore,
value-based
decision-making
provides
unifying
account
cognitive
phenomena.
results
consistent
opportunity-cost
effort,
explain
why
internal
feels
effortful
not.
Trends in Cognitive Sciences,
Journal Year:
2023,
Volume and Issue:
28(2), P. 144 - 158
Published: Sept. 29, 2023
Humans
possess
a
remarkable
ability
to
make
decisions
within
real-world
environments
that
are
expansive,
complex,
and
multidimensional.
Human
cognitive
computational
neuroscience
has
sought
exploit
reinforcement
learning
(RL)
as
framework
which
explain
human
decision-making,
often
focusing
on
constrained,
artificial
experimental
tasks.
In
this
article,
we
review
recent
efforts
use
naturalistic
approaches
determine
how
humans
in
complex
better
approximate
the
real
world,
providing
clearer
picture
of
navigate
challenges
posed
by
decisions.
These
studies
purposely
embed
elements
complexity
paradigms,
rather
than
simplification,
generating
insights
into
processes
likely
underpin
humans'
multidimensional
so
successfully.
EClinicalMedicine,
Journal Year:
2024,
Volume and Issue:
73, P. 102673 - 102673
Published: May 31, 2024
Research
has
examined
the
relationship
between
interoception
and
anxiety,
depression,
psychosis;
however,
it
is
unclear
which
aspects
of
have
been
systematically
examined,
what
combined
findings
are,
areas
require
further
research.
To
answer
these
questions,
we
searched
narratively
synthesised
relevant
reviews,
meta-analyses,
theory
papers
(total
n
=
34).
Existing
systematic
reviews
meta-analyses
(anxiety
2;
depression
psychosis
0),
focus
on
cardiac
interoceptive
accuracy
(heartbeat
perception),
indicate
that
heartbeat
perception
not
impaired
in
anxiety
or
depression.
Heartbeat
might
be
poorer
people
with
psychosis,
but
evidence
needed.
Other
interoception,
such
as
different
body
systems
processing
levels,
studied
reviewed.
We
highlight
studies
examining
alternative
bodily
domains
review
efficacy
interoception-based
psychological
interventions,
make
suggestions
for
future
research.FundingWellcome
Trust
UK.
Psychological Medicine,
Journal Year:
2023,
Volume and Issue:
54(2), P. 327 - 337
Published: June 8, 2023
Abstract
Background
Cognitive
distancing
is
an
emotion
regulation
strategy
commonly
used
in
psychological
treatment
of
various
mental
health
disorders,
but
its
therapeutic
mechanisms
are
unknown.
Methods
935
participants
completed
online
reinforcement
learning
task
involving
choices
between
pairs
symbols
with
differing
reward
contingencies.
Half
(49.1%)
the
sample
was
randomised
to
a
cognitive
self-distancing
intervention
and
were
trained
regulate
or
‘take
step
back’
from
their
emotional
response
feedback
throughout.
Established
computational
(
Q
-learning)
models
then
fit
individuals'
derive
parameters
capturing
clarity
choice
values
(inverse
temperature)
sensitivity
positive
negative
(learning
rates).
Results
improved
performance,
including
when
later
tested
on
novel
combinations
without
feedback.
Group
differences
model-derived
revealed
that
resulted
clearer
representations
option
(estimated
0.17
higher
inverse
temperatures).
Simultaneously,
caused
increased
19%
loss
Exploratory
analyses
suggested
this
evolving
shift
by
distanced
participants:
initially,
more
determined
expected
value
symbols,
as
progressed,
they
became
sensitive
feedback,
evidence
for
difference
strongest
end
training.
Conclusions
Adaptive
effects
computations
underlie
may
explain
benefits
distancing.
Over
time
practice,
improve
symptoms
disorders
promoting
effective
engagement
information.
OpenNano,
Journal Year:
2023,
Volume and Issue:
12, P. 100147 - 100147
Published: April 6, 2023
Nanoscience
and
nanotechnology
are
the
most
widely
utilized
field
of
science
in
human
healthcare,
tissue
engineering,
food
agriculture.
It
has
several
advantages,
such
as
superior
surface
area
nano-sized
molecular
structure.
Nanomaterial
properties
like
elasticity,
mechanical
characteristics
hardness,
tensile
strength,
magnetic
optical
properties.
capability
to
store
high
energy,
which
makes
them
applicable
healthcare
system.
"Executable
biology"
is
applied
computational
model
physiological
processes.
These
models
have
advantage
computer
simulation
pharmacokinetic
study.
Because
their
potential
power,
they
accepted
pharmaceutical
research.
US-FDA
tested
manufacturing
various
equipment's
that
also
can
be
used
drug
discovery
manufacturing.
create
exact
validated
vitro
vivo
pharmacological
systems,
helps
obtain
faster,
accurate
more
pertinent
data.
suffer
from
simplicity,
versatility
lack
cumulative
Multiscale
simulations,
ones
based
on
coarse-graining,
important
areas
for
future
More
significantly,
a
collaboration
between
industry
scientists
involved
this
could
assist
work
wherein
dynamic
simulations
influence
substantially.
In
review,
different
target
identification
via
chemo
genomic
methods
explained,
advantages
modeling
over
mathematical
studied.
focuses
wide
range
techniques,
biomedical
applications
challenges
modelling.
Finally,
it
gives
brief
account
compounds
studied
using
its
perspectives.