Machine Learning in 3D and 4D Printing of Polymer Composites: A Review
Polymers,
Год журнала:
2024,
Номер
16(22), С. 3125 - 3125
Опубликована: Ноя. 8, 2024
The
emergence
of
3D
and
4D
printing
has
transformed
the
field
polymer
composites,
facilitating
fabrication
complex
structures.
As
these
manufacturing
techniques
continue
to
progress,
integration
machine
learning
(ML)
is
widely
utilized
enhance
aspects
processes.
This
includes
optimizing
material
properties,
refining
process
parameters,
predicting
performance
outcomes,
enabling
real-time
monitoring.
paper
aims
provide
an
overview
recent
applications
ML
in
composites.
By
highlighting
intersection
technologies,
this
seeks
identify
existing
trends
challenges,
outline
future
directions.
Язык: Английский
Factors of Customer Loyalty and Retention in the Digital Environment
Journal of theoretical and applied electronic commerce research,
Год журнала:
2025,
Номер
20(2), С. 71 - 71
Опубликована: Апрель 12, 2025
Customer
loyalty
and
retention
are
crucial
for
digital
platforms,
yet
systematic
studies
integrating
technological
innovation
strategies
remain
scarce.
This
study
addresses
this
gap
by
conducting
a
bibliometric
analysis
of
key
factors
influencing
customer
in
the
environment.
Our
research
employs
quantitative
approach
using
Biblioshiny
Bibliometrix
tools
(RStudio
2022.02),
analyzing
300
scientific
articles
from
Web
Science
database
(2021–2024).
applies
techniques
such
as
descriptive
metrics,
bibliographic
coupling,
co-citation,
collaboration
mapping
to
identify
trends
thematic
clusters.
findings
indicate
that
emerging
technologies,
including
artificial
intelligence
big
data,
significantly
impact
experience,
trust,
engagement.
Personalization
emerge
fundamental
drivers
retention,
offering
strategic
insights
companies
aiming
strengthen
competitiveness
global
market.
Язык: Английский
A bibliometric study of global trends in diabetic nephropathy and intestinal flora research
Frontiers in Microbiology,
Год журнала:
2025,
Номер
16
Опубликована: Май 21, 2025
Diabetic
nephropathy
is
chronic
kidney
damage
caused
by
diabetes
and
one
of
the
most
common
microvascular
complications
diabetes.
In
diabetic
patients,
prolonged
hyperglycemia
leads
to
progressive
structure
function.
With
increasing
incidence
diabetes,
number
patients
with
Nephropathy
also
year
year.
At
present,
there
no
drug
cure
Nephropathy.
More
more
evidence
shows
that
development
inseparable
from
intestinal
axis,
disorder
flora
related
progress
Maybe
we
can
explore
pathogenesis
find
new
methods
treat
This
article
uses
CiteSpace
VOSviewer
Bibliometrix
statistical
software
research
hotspots
trends
The
Web
Science
Core
Collection
(WoSCC)
was
searched
for
literature
database
establishment
December
4,
2024,
ultimately
238
articles
were
included
quantitative
analysis.
publications
has
been
year,
reaching
its
peak
in
2024.
high-yield
institution
Beijing
University
Chinese
Medicine,
productive
country
China.
Zhang
Yi
ranks
first
author.
After
removing
theme
word,
inflammation
appears
frequently,
followed
oxidative
stress.
outbreak
are
mainly
concentrated
uremic
toxin,
short
chain
fatty
acid,
soy
milk,
aryl
hydrocarbon
receptor.
exploration
mechanism
action
therapeutic
or
adjuvant
targets
gut
microbiome
metabolites
DN
may
become
a
hotspot
future
direction
microbiome.
Inflammation,
stress,
production
urinary
toxins
directions
researchers
mechanisms
Aryl
receptor
(AhR),
Short-chain
acids
(SCFAs),
Traditional
medicine
milk
provide
treatment
ideas
nephropathy.
Exploring
specific
effects
requires
cohort
studies
clinical
trials
validation.
Язык: Английский
A MCDM-Based Analysis Method of Testability Allocation for Multi-Functional Integrated RF System
Electronics,
Год журнала:
2024,
Номер
13(18), С. 3618 - 3618
Опубликована: Сен. 12, 2024
The
multi-functional
integrated
RF
system
(MIRFS)
is
a
crucial
component
of
aircraft
onboard
systems.
In
the
testability
design
process,
traditional
methods
cannot
effectively
deal
with
inevitable
differences
between
designs
and
usage
requirements.
By
considering
MIRFS’s
full
lifecycle
characteristics,
new
allocation
method
based
on
multi-criteria
decision-making
(MCDM)
proposed
in
this
paper.
Firstly,
framework
was
constructed
more
than
100
indicators
were
given,
which
included
both
different
system-level
inter-system
indicators.
Secondly,
to
manage
parameter
diversity
calculate
complexity,
basic
12
optimized
through
Analytic
Hierarchy
Process
Technique
for
Order
Preference
by
Similarity
Ideal
Solution
(AHP-TOPSIS)
method.
Thirdly,
detailed
parameters
obtained
using
Decision-Making
Trial
Evaluation
Laboratory
Network
(DEMATEL-ANP)
reduce
subjectivity
uncertainty.
Finally,
an
example
utilized,
results
show
that
MCDM
significantly
better
terms
accuracy
effectiveness,
will
provide
scientific
basis
MIRFS
process.
Язык: Английский