Biosensors,
Journal Year:
2025,
Volume and Issue:
15(4), P. 222 - 222
Published: March 31, 2025
The
growing
demand
for
real-time,
non-invasive,
and
cost-effective
health
monitoring
has
driven
significant
advancements
in
portable
point-of-care
testing
(POCT)
devices.
Among
these,
optical
biosensors
have
emerged
as
promising
tools
the
detection
of
critical
biomarkers
such
uric
acid
(UA)
blood
glucose.
Different
transduction
methods,
like
fluorescence,
surface
plasmon
resonance
(SPR),
colorimetric
approaches,
are
talked
about,
with
a
focus
on
how
sensitive,
specific,
they
are.
Despite
considerable
advancements,
several
challenges
persist,
including
sensor
stability,
miniaturization,
interference
effects,
need
calibration-free
operation.
This
review
also
explores
issues
related
to
cost-effectiveness,
data
integration,
wireless
connectivity
remote
monitoring.
further
examines
regulatory
considerations
commercialization
aspects
biosensors,
addressing
gap
between
research
developments
clinical
implementation.
Future
perspectives
emphasize
integration
artificial
intelligence
(AI)
healthcare
improved
diagnostics,
alongside
development
wearable
implantable
continuous
Innovative
potential
change
way
people
manage
their
by
quickly
accurately
measuring
glucose
levels.
is
especially
true
decentralized
solutions
grows.
By
critically
evaluating
existing
work
exploring
limitations
opportunities
field,
this
will
help
guide
more
efficient,
accessible,
reliable
POCT
devices
that
can
improve
patient
outcomes
quality
life.
Heliyon,
Journal Year:
2023,
Volume and Issue:
9(5), P. e16299 - e16299
Published: May 1, 2023
Although
extant
literature
has
thoroughly
investigated
the
incorporation
of
cloud
computing
services,
examining
their
influence
on
sustainable
performance,
particularly
at
organizational
level,
is
insufficient.
Consequently,
present
research
aims
to
assess
factors
that
impact
integration
within
small
and
medium-sized
enterprises
(SMEs)
its
subsequent
effects
environmental,
financial,
social
performance.
The
data
were
collected
from
415
SMEs
analyzed
using
a
hybrid
SEM-ANN
approach.
PLS-SEM
results
indicate
relative
advantage,
complexity,
compatibility,
top
management
support,
cost
reduction,
government
support
significantly
affect
integration.
This
study
also
empirically
demonstrated
could
improve
performance
by
integrating
services.
ANN
show
with
normalized
importance
(NI)
89.14%,
ranked
first
among
other
affecting
in
SMEs.
followed
reduction
(NI
=
82.67%),
73.37%),
compatibility
70.02%),
52.43%),
advantage
48.72%).
Theoretically,
this
goes
beyond
determinants
SMEs'
comprehensive
manner.
provides
several
practical
implications
for
policymakers,
SME
managers,
service
providers.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(6), P. 2425 - 2425
Published: March 14, 2024
In
the
modern
era,
imperative
of
digitalisation
to
enhance
competitiveness
spans
various
sectors,
with
agriculture
being
no
exception.
Agriculture
4.0,
strategically
positioned
address
challenges
like
climate
change,
food
security,
and
resource
preservation,
holds
potential
increase
productivity,
profitability,
sustainability
in
agriculture.
Despite
global
accessibility
digital
technologies,
their
adoption
within
sector,
especially
among
small
medium-sized
farms,
encounters
obstacles.
Realising
full
4.0
requires
understanding
factors
influencing
technology
adoption.
To
this,
study
conducts
a
systematic
literature
review
using
PRISMA
method,
focusing
on
identifying
primary
drivers
barriers
associated
implementation
technologies.
The
is
complemented
by
network
analysis
identified
barriers.
A
total
42
articles
from
2011
2023,
sourced
Scopus
database,
are
examined.
Individual
farm-related
play
crucial
role
driving
smart
farming
along
social
trust
influence.
Economic
constraints
lack
infrastructure,
such
as
internet
access,
emerge
significant
can
inform
development
strategies
promote
transition
4.0.
Farmers
stand
benefit
insights
into
advantages,
required
skills,
challenges,
aiding
informed
decision-making
Business Strategy and the Environment,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 11, 2025
ABSTRACT
In
the
era
of
rapid
technological
advancement,
generative
artificial
intelligence
(AI)
has
emerged
as
a
transformative
force
in
various
sectors,
including
environmental
sustainability.
This
research
investigates
factors
and
consequences
using
AI
to
access
information
influence
green
purchasing
behavior.
It
integrates
theories
such
adoption
model,
value–belief–norm
theory,
elaboration
likelihood
cognitive
dissonance
theory
pinpoint
prioritize
determinants
usage
for
Data
from
467
participants
were
analyzed
hybrid
methodology
that
blends
partial
least
squares
(PLS)
with
neural
networks
(ANN).
The
PLS
outcomes
indicate
interactivity,
responsiveness,
knowledge
acquisition
application,
concern,
ascription
responsibility
are
key
predictors
use
information.
Furthermore,
concerns,
values,
personal
norms,
responsibility,
individual
impact,
emerge
ANN
analysis
offers
unique
perspective
discloses
variations
hierarchy
these
predictors.
provides
valuable
insights
stakeholders
on
harnessing
promote
sustainable
consumer
behaviors
