Not so binary or generalizable: Brain sex differences with artificial neural networks
Proceedings of the National Academy of Sciences,
Journal Year:
2025,
Volume and Issue:
122(2)
Published: Jan. 2, 2025
Language: Английский
Rethinking Gender/Sex Identity
American Journal of Human Biology,
Journal Year:
2025,
Volume and Issue:
37(4)
Published: April 1, 2025
ABSTRACT
Until
quite
recently,
investigations
of
gender/sex
development
operated
from
a
baseline
assumption
that
is
dichotomous
or
binary.
Most
such
studies
constructed
outside
adjacent
to
specific
cultures,
and
for
the
most
part
studied
children
Western,
Educated,
Industrialized,
Rich,
Democratic
(WEIRD)
countries.
In
this
paper
I
first
advocate
four
research
guidelines—inclusivity,
epistemic
justice,
materiality,
empiricism.
sketch
out
historical
background
still
shapes
contemporary
into
psychology
identity
in
infants
toddlers.
Next,
point
toward
methods
study
toddlers
have
potential
make
nonbinary
visible
develop
culturally
diverse
concepts
development.
Finally,
challenge
psychologists
others
view
operationalize
as
relational,
phenomenological
entity
rather
than
fixed
feature
individual
psyche.
Language: Английский
The Sex Inclusive Research Framework to address sex bias in preclinical research proposals
Natasha A. Karp,
No information about this author
Manuel Berdoy,
No information about this author
Kelly Gray
No information about this author
et al.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: April 22, 2025
An
interactive
Sex
Inclusive
Research
Framework
(SIRF)
supports
the
evaluation
of
in
vivo
and
ex
research
proposals
to
address
risk
sex
bias
preclinical
research.
The
framework
delivers
a
traffic
light
classification,
indicating
whether
proposal
is
appropriate,
risky,
or
insufficient
with
regard
inclusion.
This
tool
designed
for
use
by
researchers,
(animal)
ethical
review
boards,
funders
generate
rigorous
reproducible
assessment
inclusion
at
level,
thus
helping
resolve
embedded
Language: Английский
Leveraging research into sex differences and steroid hormones to improve brain health
Bonnie H. Lee,
No information about this author
Rand S. Eid,
No information about this author
Travis E. Hodges
No information about this author
et al.
Nature Reviews Endocrinology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 25, 2024
Language: Английский
Exploring the impact of gender-related variables on health measures and perceived stress
Frontiers in Psychology,
Journal Year:
2025,
Volume and Issue:
16
Published: Feb. 25, 2025
Despite
its
relevance
for
health
outcomes,
only
recently
gender
has
begun
to
be
explored
in
the
scientific
literature,
typically
using
a
rigid
binary
framework.
To
tackle
this,
Stanford
Gender-related
Variables
Health
Research
(GVHR)
was
developed
analyze
from
multidimensional
perspective.
We
aim
use
our
Portuguese
version
of
GVHR
and
association
with
including
perceived
stress.
this
aim,
351
participants
completed
scale,
sociodemographic,
information
(including
Perceived
Stress
Scale,
PSS-10).
A
Confirmatory
Factor
Analyses
(CFA)
first
performed,
logistic
linear
regressions
were
used
explore
between
health-related
variables.
All
measures
CFA
showed
appropriate
goodness
fit.
Regarding
regression
models,
discrimination
higher
levels
risk-taking
associated
binge
drinking.
Lower
social
support
risk-taking,
being
male,
overweight.
stress,
it
positively
work
strain,
while
negatively
support,
emotional
intelligence
risk-taking.
Finally,
strain
mental
worsening
activity
limitations,
worsening.
In
conclusion,
by
approaching
perspective
we
detected
specific
factors
influencing
showing
that
relational
aspects
are
particularly
relevant
health.
Language: Английский
Navigating the paradigm shift of sex inclusive preclinical research and lessons learnt
Communications Biology,
Journal Year:
2025,
Volume and Issue:
8(1)
Published: April 29, 2025
Language: Английский
Enhancing Nonparametric Tests: Insights for Computational Intelligence and Data Mining
Shahid Yousufi Aqmal,
No information about this author
Faizal Mukthar Hussain S
No information about this author
Published: Dec. 10, 2024
Objective:
With
the
aim
of
improving
monitoring
reliability
and
interpretability
CI
DM
experimental
statistical
tests,
we
evaluate
performance
cutting-edge
nonparametric
tests
post
hoc
procedures.
Methods:
A
Friedman
Aligned
Ranks
test,
Quade
multiple
corrections
Bonferroni-Dunn
Holm
were
used
to
comparative
analyze
data.
These
approaches
employed
algorithm
metrics
with
varied
datasets
their
capability
detect
meaningful
differences
control
Type
I
errors.Results:
Advanced
methods
consistently
outperformed
traditional
parametric
offering
robust
results
in
heterogeneous
datasets.
The
test
was
most
powerful
stable,
procedures
greatly
increased
power
pairwise
comparisons.Novelty:
We
advanced
experiments:
(Bonferroni-Dunn
Holm).
represent
a
departure
from
that
depend
on
assumptions
normality
homogeneity
variance,
allowing
for
more
flexible
analyses
complex,
By
comparing
strength
efficacy
these
methods,
research
also
delivers
common
guidelines
use;
as
well
demonstrating
utility
realistic
situations
characterized
by
non-standard
dispersed
data.Implications
Research:
findings
have
far-reaching
theoretical
pragmatic
implications
scholars
DM.
On
level,
this
work
undermines
bias
towards
techniques,
providing
an
increasingly
framework
analysis
research.
This
improves
understanding
adaptation
fit
complexities
real-world
data
highlighting
advantages
specifically
corrections.
Practical
give
owners
summaries
actionable
recommendations,
which
will
assist
researchers
selection
are
tuned
nature
datasets,
resulting
improved
future
evaluations
algorithms.
Thus,
endeavor
promote
statistically
appropriate
studies,
leading
confident
valid
claims
surrounding
algorithmic
performance.
Language: Английский