Recent Advancements in Upcycling of Polyolefins by Hydrocracking: Effect of Various Heterogeneous Catalysts and Reaction Parameters
Thangaraj Baskaran,
No information about this author
Yong-Kul Lee
No information about this author
Polymer Degradation and Stability,
Journal Year:
2025,
Volume and Issue:
unknown, P. 111220 - 111220
Published: Jan. 1, 2025
Language: Английский
Hydrocracking of Plastic Pyrolysis Oil (PPO) Blended with Vacuum Gas Oil (VGO) over Pt–Pd Catalysts Supported on USY–ASA–Al2O3 Composites
Energy & Fuels,
Journal Year:
2024,
Volume and Issue:
38(18), P. 17866 - 17877
Published: Sept. 11, 2024
Language: Английский
An Intelligent Framework for Performance Optimization of Telemedicine Center with Trust incorporating decision-making styles
AmirHossein Pourbasir,
No information about this author
Atousa Ghorbani,
No information about this author
Negin Hasani
No information about this author
et al.
Operations Management Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 17, 2024
Language: Английский
Evaluation of apparent effectiveness of safety sign group in underground cavern construction
Published: May 16, 2024
Effective
sign
layouts
are
essential
for
guiding
driving
in
underground
construction
caverns
and
improving
transportation
safety.
While
previous
studies
concentrated
on
evaluating
drivers'
gaze
behavior
tunnels,
the
absence
of
a
theoretical
framework
visual
perception
groups
impedes
comprehensive
measurement
layout
optimization.
This
paper
aims
to
bridge
this
gap,
which
study
explores
cognition
by
analyzing
eye
movement
EEG
indicators
group
recognition
tasks.
It
establishes
an
intuitive
evaluation
index
system
gauge
cognitive
response
efficiency
directional
signs
with
varying
information
levels.
The
research
evaluates
scenarios
different
information,
focusing
communication
effectiveness
cavern
groups.
Utilizing
BCC
model
DEA
method,
obtains
results,
shedding
light
levels
signs.
includes
analysis
experimental
discusses
ineffectiveness,
offers
suggestions
based
design
requirements.
Language: Английский
Research on Optimization of Rural Financial Policies Based on Econometrics
Advances in Economics and Management Research,
Journal Year:
2024,
Volume and Issue:
11(1), P. 105 - 105
Published: July 19, 2024
Rural
finance
is
vital
for
rural
economic
development.
This
study
uses
extensive
empirical
data
and
econometric
models
to
analyze
factors
influencing
development
in
China.
It
employs
multiple
linear
regression,
panel
data,
time
series
models,
optimizing
them
through
feature
selection,
non-linear
processing,
cross-validation.
Scenarios
such
as
baseline,
fiscal
support,
interest
rate
preferences,
inclusive
are
simulated
assess
impacts
on
loan
balances
resident
income
levels.
The
findings
highlight
that
comprehensive
measures
yield
better
policy
synergies,
offering
optimization
suggestions
decision-makers.
Language: Английский