Sustainability,
Journal Year:
2023,
Volume and Issue:
16(1), P. 252 - 252
Published: Dec. 27, 2023
New
digital
technology
trends
have
the
potential
to
mitigate
effects
of
earthquakes
and
improve
response
recovery
efforts
such
as
earthquake
prediction,
emergency
call-out,
location
notification.
Earthquake
readiness
makes
it
necessary
a
digitally
prepared
society.
However,
no
scale
has
been
found
in
literature
that
can
measure
attitudes
skills
individuals
regarding
earthquakes.
For
this
reason,
fill
gap
literature,
descriptive
research
study
aimed
develop
an
original,
valid,
reliable
determine
toward
Data
were
collected
from
621
adult
with
different
socioeconomic
characteristics
using
convenience
sampling
method.
An
item
pool
was
created
through
comprehensive
review,
followed
by
series
analyses
encompassing
content
validity,
construct
convergent
discriminant
criterion-related
reliability
analysis,
analysis
course
scale’s
development
process.
earthquakes,
Draft
scale,
21
items
remaining,
KMO
value
(0.894),
Bartlett
sphericity
test
result
χ2
(91)
=
2407.76
(p
<
0.001)
showed
suitability
data
for
exploratory
factor
(EFA).
As
EFA,
14
categorized
into
two
dimensions
based
on
whether
their
eigenvalues
exceeded
1.
The
explained
variance
46.823%
(eigenvalue
6.555)
first
factor,
while
12.832%
1.796)
second
total
59.655%.
After
analyzing
within
these
dimensions,
dimension
named
“Technological
Skills”,
comprising
eight
items,
“Digital
Attitudes”,
consisting
six
items.
loadings
ranged
0.562
0.900.
Confirmatory
(CFA)
affirmed
factorial
structure
identified
EFA.
five-point
Likert-type
Digital
Readiness
Earthquakes
DRE
after
validity
analyses,
Cronbach’s
alpha
obtained
0.910,
demonstrating
high
internal
consistency.
values
factors
0.910
Skills”
0.837
Attitudes”
dimension.
It
concluded
developed
is
valid
measurement
evaluating
Biomimetics,
Journal Year:
2024,
Volume and Issue:
9(9), P. 533 - 533
Published: Sept. 4, 2024
The
Internet's
development
has
prompted
social
media
to
become
an
essential
channel
for
disseminating
disaster-related
information.
Increasing
the
accuracy
of
emotional
polarity
recognition
in
tweets
is
conducive
government
or
rescue
organizations
understanding
public's
demands
and
responding
appropriately.
Existing
sentiment
analysis
models
have
some
limitations
applicability.
Therefore,
this
research
proposes
IDBO-CNN-BiLSTM
model
combining
swarm
intelligence
optimization
algorithm
deep
learning
methods.
First,
Dung
Beetle
Optimization
(DBO)
improved
by
adopting
Latin
hypercube
sampling,
integrating
Osprey
Algorithm
(OOA),
introducing
adaptive
Gaussian-Cauchy
mixture
mutation
disturbance.
DBO
(IDBO)
then
utilized
optimize
Convolutional
Neural
Network-Bidirectional
Long
Short-Term
Memory
(CNN-BiLSTM)
model's
hyperparameters.
Finally,
constructed
classify
tendencies
associated
with
Hurricane
Harvey
event.
empirical
indicates
that
proposed
achieves
0.8033,
outperforming
other
single
hybrid
models.
In
contrast
GWO,
WOA,
algorithms,
enhanced
2.89%,
2.82%,
2.72%,
respectively.
This
study
proves
can
be
applied
assist
emergency
decision-making
natural
disasters.
Studies
on
social
media
(SM)
and
disaster
management
(DM)
have
mainly
focused
the
adap-tation,
application
use
of
SM
in
each
stage
DM.
With
widespread
availability
SM,
effective
utilisation
DM
is
impeded
by
various
challenges,
but
not
yet
com-prehensively
researched.
Therefore,
this
paper
aims
to
identify
as
well
strategies
overcome
challenges
categorises
them
into
a
classified
model.
The
study
adopts
systematic
literature
review
present
analyse
for
us-ing
Utilising
prominent
databases,
72
publications
were
carefully
selected
ana-lysed
qualitatively
using
content
analysis.
findings
revealed
four
key
its
users:
spread
misinformation;
insufficient
human
resources
manage
use;
lack
trust
infor-mation
authorities;
and,
poor
information
quality
messages.
identi-fied
several
which
can
be
three
sectors
community:
individuals,
organisations,
companies.
These
contribute
enhanc-ing
community
practitioners.
Furthermore,
provides
insight
current
status
knowledge
identifies
research
gaps
around
future
research.
Perceptual and Motor Skills,
Journal Year:
2024,
Volume and Issue:
131(4), P. 1207 - 1232
Published: May 10, 2024
In
this
article,
we
offer
an
exhaustive
analysis
of
academic
work
on
psychological
flexibility
using
bibliometric
techniques.
We
identify
emerging
trends
in
a
dataset
3535
scholarly
articles
from
the
Web
Science
database.
highlight
key
publications,
map
out
field’s
intellectual
framework,
and
anticipate
future
research
avenues
through
co-citation
co-word
analytics.
The
assessment
revealed
five
distinct
clusters,
while
showed
three.
Although
regarding
has
gained
recent
popularity,
there
remains
need
for
more
initiatives
to
achieve
nuanced
understanding
subject.
