Security and Privacy,
Год журнала:
2024,
Номер
8(1)
Опубликована: Дек. 25, 2024
ABSTRACT
The
pervasive
expansion
of
the
Internet
Things
(IoT)
year
after
has
facilitated
widespread
sensing
capabilities
across
various
domains.
Consequently,
heightened
concerns
have
arisen
regarding
authentication
and
security
measures.
There
is
a
growing
focus
on
biometrics
in
realm
human
identification
applications,
particularly
context
advancing
biometric‐enhanced
IoT
applications.
This
trend
garnering
increasing
attention
as
it
unfolds.
As
new
technologies
developed,
biometric‐based
been
seen
an
effective
way
to
automatically
identify
people
because
its
uniqueness
impossibility
fabricating
it.
Biometric
identity
systems
make
secure
access
management
possible.
However,
due
their
almost
identical
physical
traits,
one
biggest
problems
with
conventional
being
able
tell
between
twins.
fact
frequently
results
high
false
acceptance
rates,
putting
system's
at
risk.
Thus,
solution
addressed
this
work
by
applying
multi‐biometric
method
based
unique
feature
levels.
Moreover,
accuracy
robustness
biometric
identifications
are
further
enhanced
both
Real
Coded
Genetic
Algorithm
(RCGA)
Fish
Swarm
(FSA).
RCGA
employed
global
search
explore
promising
space
guide
toward
optimal
region.
algorithm
exploits
capability
AFSA,
serving
local
final
solution.
Besides,
proposed
enhances
discriminative
power,
enabling
more
precise
trustworthy.
Therefore,
greatly
contributes
advancement
increase
fields.
Frontiers in Public Health,
Год журнала:
2024,
Номер
12
Опубликована: Сен. 23, 2024
Objective
Work
engagement
significantly
influences
both
the
quality
of
nursing
care
and
nurses’
job
performance.
In
this
study,
we
aimed
to
explore
mediating
effects
negative
emotions
on
relationship
between
self-compassion
work
among
Chinese
nurses.
Method
A
cross-sectional
study
was
performed
nurses
in
a
tertiary
hospital
located
Henan
province
from
September,
2023
December,
2023.
Custom-designed
digital
surveys
were
disseminated
gather
pertinent
data.
Structural
Equation
Modelling
(SEM)
utilised
analyse
data
determine
relationships
self-compassion,
engagement.
Results
total
1,201
included.
According
statistical
model,
(β
=
0.116,
CI:
−0.036
−0.008,
p
<
0.001)
−0.372,
−0.053
−0.033,
correlated
with
Furthermore,
our
analysis
revealed
that
partially
mediated
0.174,
−0.066
−0.020,
0.01).
Conclusion
These
findings
indicate
incorporating
emotion
regulation
interventions
targeting
may
enhance
overall
level
nurses,
thereby
improving
satisfaction
patient
care.
Background
Healthcare
workers
(HCWs)
can
face
situations
that
conflict
with
their
moral
beliefs,
leading
to
injury,
an
adverse
psychological
consequence
was
more
frequent
during
the
COVID-19
pandemic.
Self-compassion
is
a
potential
coping
mechanism
for
injury
by
encouraging
acceptance
of
human
limitations
and
suffering.
Objectives
This
study
aimed
examine
associations
between
self-compassion
components
prevalence
among
HCWs
in
Quebec,
Canada,
Research
design
A
cross-sectional
employed.
Participants:
research
context:
The
sample
this
consisted
leaders
from
Quebec
province.
Participants
completed
validated
self-administered
questionnaires
assessing
both
positive
negative
(self-kindness
vs
self-judgment;
common
humanity
isolation;
mindfulness
overidentification)
dimensions
(self-oriented
other-oriented).
Prevalence
ratios
(PRs)
95%
confidence
intervals
(CIs)
were
modeled
using
Poison
robust
regressions.
models
adjusted
various
covariates,
including
sex,
age,
gender,
socio-demographic
lifestyle
factors.
Ethical
considerations
approval
obtained
ethics
committee
Centre
intégré
universitaire
de
santé
et
services
sociaux
la
Capitale-Nationale
Canada.
All
participants
provided
written
informed
consent
prior
participating
study.
Additionally,
permission
sought
original
authors
tools
used
study,
scales.
Results
involved
572
(60.5%
nurses)
leaders.
Around
half
(50.70%)
exhibited
moderate
levels
self-compassion,
while
low
ranged
21.68%
48.08%
subscales
23.78%
44.41%
subscales.
Regarding
10.14%
reported
high
self-oriented
29.19%
other-oriented
13.81%
demonstrated
total
injury.
Higher
associated
lower
prevalence.
had
93%
likelihood
experiencing
(PR:
0.07,
CI:
0.03–0.19).
Self-kindness
strongest
association
reduced
0.24,
0.11–0.52),
followed
0.37,
0.18–0.75).
However,
did
not
show
statistically
significant
Conclusion
These
findings
suggest
HCWs,
highlighting
promising
interventions
manage
crises.
Such
initiatives
could
promote
mental
wellbeing
preventing
consequences
anxiety,
depression,
burnout.
Security and Privacy,
Год журнала:
2024,
Номер
8(1)
Опубликована: Дек. 25, 2024
ABSTRACT
The
pervasive
expansion
of
the
Internet
Things
(IoT)
year
after
has
facilitated
widespread
sensing
capabilities
across
various
domains.
Consequently,
heightened
concerns
have
arisen
regarding
authentication
and
security
measures.
There
is
a
growing
focus
on
biometrics
in
realm
human
identification
applications,
particularly
context
advancing
biometric‐enhanced
IoT
applications.
This
trend
garnering
increasing
attention
as
it
unfolds.
As
new
technologies
developed,
biometric‐based
been
seen
an
effective
way
to
automatically
identify
people
because
its
uniqueness
impossibility
fabricating
it.
Biometric
identity
systems
make
secure
access
management
possible.
However,
due
their
almost
identical
physical
traits,
one
biggest
problems
with
conventional
being
able
tell
between
twins.
fact
frequently
results
high
false
acceptance
rates,
putting
system's
at
risk.
Thus,
solution
addressed
this
work
by
applying
multi‐biometric
method
based
unique
feature
levels.
Moreover,
accuracy
robustness
biometric
identifications
are
further
enhanced
both
Real
Coded
Genetic
Algorithm
(RCGA)
Fish
Swarm
(FSA).
RCGA
employed
global
search
explore
promising
space
guide
toward
optimal
region.
algorithm
exploits
capability
AFSA,
serving
local
final
solution.
Besides,
proposed
enhances
discriminative
power,
enabling
more
precise
trustworthy.
Therefore,
greatly
contributes
advancement
increase
fields.
