Buildings,
Journal Year:
2025,
Volume and Issue:
15(9), P. 1544 - 1544
Published: May 3, 2025
Dealing
with
solid
waste
has
always
been
a
global
concern,
and
construction
is
one
of
the
most
important
parts.
Addressing
how
to
properly
dispose
waste,
reduce
its
negative
environmental
impact,
achieve
effective
resource
recycling
emerged
as
an
urgent
problem
be
solved.
Technological
innovation
underpins
efficient
reduction,
reuse,
recycling,
but
existing
research
often
overlooks
systematic
quantitative
measurements
initiatives.
This
study
uncovers
development
status
trends
(CWR)
technology,
identifies
key
points
potential
directions
for
technological
development,
also
explores
practical
strategies
promote
industrial
growth.
Through
patent
analysis,
this
current
within
China’s
CWR
industry.
A
text
mining
approach
employed
analyze
texts
related
core
technologies,
explore
topic
contents,
identify
intensities
evolution
trends.
comparative
analysis
between
China
dominant
countries
in
reveals
strengths
weaknesses.
The
results
indicate
that
applications
industry
are
substantial,
rapid
growth
rate,
while
competitiveness
remains
weak.
applicants
widely
distributed,
traditional
enterprises
demonstrating
strong
capabilities,
emerging
small-to-medium
lack
vitality.
advantages
developing
devices
wastewater
treatment
foundation
some
other
technologies
offers
overview
initiatives
industry,
representing
breakthrough
research.
findings
will
assist
policymakers
formulating
evidence-driven
CWR.
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(5), P. e0302502 - e0302502
Published: May 14, 2024
ChatGPT
has
demonstrated
impressive
abilities
and
impacted
various
aspects
of
human
society
since
its
creation,
gaining
widespread
attention
from
different
social
spheres.
This
study
aims
to
comprehensively
assess
public
perception
on
Reddit.
The
dataset
was
collected
via
Reddit,
a
media
platform,
includes
23,733
posts
comments
related
ChatGPT.
Firstly,
examine
attitudes,
this
conducts
content
analysis
utilizing
topic
modeling
with
the
Latent
Dirichlet
Allocation
(LDA)
algorithm
extract
pertinent
topics.
Furthermore,
sentiment
categorizes
user
as
positive,
negative,
or
neutral
using
Textblob
Vader
in
natural
language
processing.
result
shows
that
seven
topics
regarding
are
identified,
which
can
be
grouped
into
three
themes:
perception,
technical
methods,
impacts
society.
Results
show
61.6%
hold
favorable
opinions
They
emphasize
ChatGPT’s
ability
prompt
engage
conversations
users,
without
relying
complex
It
provides
suggestions
for
developers
enhance
usability
design
functionality.
Meanwhile,
stakeholders,
including
should
comprehend
advantages
disadvantages
promote
ethical
regulated
implementation
system.
Maritime Business Review,
Journal Year:
2024,
Volume and Issue:
9(3), P. 229 - 242
Published: July 18, 2024
Purpose
This
paper
summarizes
and
synthesizes
existing
research
while
critically
assessing
findings
for
future
studies
to
advance
the
scholarship
of
maritime
logistics
digital
transformation
with
big
data.
Design/methodology/approach
A
bibliometric
analysis
was
conducted
on
159
journal
articles
from
Scopus
database
search
keywords
“maritime*”
“big
data.”
helps
identify
gaps
by
identifying
themes
via
keyword
co-occurrence,
co-citation
bibliographic
coupling
analysis.
The
Theory-Context-Characteristics-Methodology
(TCCM)
framework
applied
understand
provide
a
agenda.
Findings
analyses
identified
emerging
data
their
relationships
clusters.
Future
directions
were
provided
examining
research's
theory,
context,
characteristics
method.
Originality/value
is
grounded
in
TCCM
scholarly
evolution,
giving
managers
academics
retrospective
prospective
insights.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(5), P. 2328 - 2328
Published: March 6, 2025
Online
recommendation
agents
have
demonstrated
their
value
in
various
contexts
by
helping
users
navigate
information
overload,
supporting
decision-making,
and
influencing
user
behavior.
There
is
a
lack
of
studies
focusing
on
systems
for
green
hotels
that
utilize
user-generated
content
from
social
networking
e-commerce
platforms.
While
numerous
explored
the
use
real-world
datasets
hotel
recommendations,
development
specifically
remains
underexplored,
particularly
context
Saudi
Arabia.
This
study
attempts
to
develop
new
approach
recommendations
using
text
mining
Long
Short-Term
Memory
techniques.
Latent
Dirichlet
Allocation
used
identify
main
aspects
users’
preferences
content,
which
will
help
recommender
system
provide
more
accurate
users.
preference
prediction
based
numerical
ratings.
To
better
perform
clustering
technique
overcome
scalability
issue
proposed
system,
when
there
large
amount
data
datasets.
Specifically,
spectral
algorithm
cluster
ratings
hotels.
evaluate
method,
4684
reviews
were
collected
Arabia’s
TripAdvisor
platform.
The
method
was
evaluated
its
effectiveness
solving
sparsity
issues,
accuracy,
scalability.
It
found
predicts
customers’
overall
comparison
results
provides
highest
precision
(Precision
at
Top
@5
=
89.44,
Precision
@7
88.21)
lowest
error
(Mean
Absolute
Error
0.84)
recommendations.
author
discusses
presents
research
implications
findings
method.
Journal of Economic Surveys,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 13, 2025
ABSTRACT
The
quantitative
assessment
of
budget
performance
management
policies
is
vital
for
improving
the
scientific
rigor
policy
formulation,
enhancing
practicality
implementation,
optimizing
public
resource
distribution,
and
advancing
refinement
national
governance
system.
This
research,
which
analyzes
2501
Chinese
from
2001
to
2024,
utilizes
latent
Dirichlet
allocation
(LDA)
topic
model,
natural
language
processing
(NLP),
text
encoding
techniques,
PMC‐TE
index
model
quantitatively
evaluate
effectiveness
evolutionary
trends
China's
at
various
developmental
stages.
result
reveals
that
can
be
grouped
into
nine
primary
tools.
Notably,
financial
management,
allocation,
operation
are
most
frequently
employed
effective
These
tools
further
divided
three
domains:
strategy
social
development,
supervision
innovative
reform.
Furthermore,
historical
evolution
displays
a
four‐stage
development
pattern:
foundational
preliminary
rapid
expansion
deepening,
peak
adjustment,
optimization
transformation.
findings
offer
novel
theoretical
framework
understanding
progress
patterns
policies.
Land,
Journal Year:
2025,
Volume and Issue:
14(4), P. 773 - 773
Published: April 3, 2025
Cultural
ecosystem
services
(CESs)
reflect
the
interaction
between
ecosystems
and
human
well-being.
Owing
to
constraints
in
data
availability
existing
methodological
limitations,
deriving
information
from
non-material
attributes
was
inadequate.
We
took
Yulin
City,
located
northern
Shaanxi
Loess
Plateau,
as
a
case
study.
Based
on
open-source
geospatial
user
social
media,
coupled
multi-source
model
applied
elucidate
spatial
distribution
of
CESs’
supply–demand
flow.
The
Maxent
LDA
were
utilized
quantify
CES
supply–demand,
whereas
breakpoint
gravity
explain
direction
intensity
results
indicated
following:
(1)
aesthetic
most
perceivable
Yulin,
with
27%
high
supply
areas
four
demand
topics.
And
perception
educational
least
pronounced,
only
2%
two
(2)
exhibited
notable
mismatching
matching
area
constituting
approximately
10%.
In
center
city,
CESs
displayed
pattern
deficit,
while
farther
city
presented
surplus.
(3)
flow
followed
movement
peripheral
counties
central
less
developed
more
counties.
proposed
following
targeted
recommendations:
introducing
low-perception
promote
enhancement
(ESs);
alleviating
mismatches
by
enhancing
transportation
accessibility
protecting
ecological
environment.
Simultaneously,
attention
should
be
directed
towards
developmental
disparities
counties,
providing
differentiated
guidance
for
Our
study
provided
theoretical
foundation
understanding
offered
scientific
insights
development
urban
CES.
