Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
The
world
has
entered
the
network
information
age
driven
by
technology
revolution,
and
international
political
economic
order
is
facing
turbulent
changes.
As
an
important
issue
in
economy,
this
paper
builds
a
model
to
measure
level
of
regional
synergy
development.
In
prediction
model,
GM(1,1)
gray
chosen
establish
first-order
differential
equation
predict
trend
measurement
synergistic
development
index
system
built,
entropy
weight
method
used
determine
indexes,
coefficient
variation
applied
gap
different
cities
territories
region,
comprehensive
region
measured.
analysis
carried
out
Beijing-Tianjin-Hebei
China,
static
overall
degree
reaches
0.073
2023
dynamic
2015-2023
0.0911.
Beijing
ahead
Hebei
Tianjin
five
dimensions,
which
are
economic,
social,
ecological,
governmental
governance,
coordination.
Journal of Mathematics,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
In
its
crystalline
state,
the
α
‐icosahedral
nanosheet
of
boron
demonstrates
superconductivity
and
thermal
electronic
properties.
Mathematical
research
on
a
graph’s
structure
yields
graph
descriptor,
numerical
measure.
Chemical
theory
employs
connectivity
descriptors
to
analyze
molecular
structures,
providing
crucial
insights
into
many
chemical
compounds’
biological
characteristics.
These
characteristics
benefit
physicists,
chemists,
medical
pharmaceutical
specialists.
this
paper,
idea
reverse
degree–based
‐polynomial
is
initiated,
differential
integral
operators
are
computed.
We
formulate
topological
based
concept.
we
examine
for
technique.
looked
at
physicochemical
properties
nanosheets
using
best‐fit
linear
regression
models
get
an
what
they
are.
Researchers
hoping
that
strategy
will
lead
them
new
areas
where
can
investigate
related
studies.
Grey Systems Theory and Application,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 15, 2025
Purpose
Meteorological
disasters
pose
a
significant
risk
to
people’s
lives
and
safety,
accurate
prediction
of
weather-related
disaster
losses
is
crucial
for
bolstering
prevention
mitigation
capabilities
addressing
the
challenges
posed
by
climate
change.
Based
on
uncertainty
meteorological
sequences,
damping
accumulated
autoregressive
GM(1,1)
model
(DAARGM(1,1))
proposed.
Design/methodology/approach
Firstly,
terms
system
characteristics
are
added
damping-accumulated
model,
partial
autocorrelation
function
(PACF)
used
determine
order
terms.
In
addition,
optimal
parameters
determined
optimization
algorithm.
Findings
The
properties
were
analyzed
in
stability
solution
error
restored
value.
By
fitting
predicting
affected
comparing
them
with
results
four
other
grey
models,
validity
new
was
verified.
Originality/value
dynamic
trend
factor
introduced
into
generation
operator
so
that
can
flexibly
adjust
accumulative
sequence.
On
basis
term
take
account
influence
previous
data,
which
more
descriptive
development
time
series
itself
increases
effectiveness
model.
Global Challenges,
Journal Year:
2025,
Volume and Issue:
9(4)
Published: Feb. 13, 2025
Abstract
The
construction
industry
is
an
important
material
production
sector
in
China's
national
economy,
and
the
trade
of
goods
services
between
regions
may
lead
to
transfer
carbon
emissions
from
industry.
This
study
constructs
a
multiregion
input–output
table
model
containing
27
industries
30
provinces
China
2007
2017.
It
measures
analyzes
industry,
emission
network
for
by
combining
complex
model,
spatial
temporal
structural
characteristics
its
indicators.
results
show
that
most
with
higher
are
concentrated
eastern
coastal
areas
regional
center
provinces,
addition
frequent
transfers
within
economically
developed
regions,
resource‐intensive
also
frequently
have
provinces.
Based
on
this
study,
differentiated
reduction
plan
formulated,
policy
recommendations
optimizing
each
region
proposed.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(9), P. 3828 - 3828
Published: April 24, 2025
Life
cycle
carbon
emissions
from
the
construction
industry
(CE)
have
a
profound
impact
on
China’s
“dual
carbon”
goals,
with
significant
posing
severe
challenges
to
environment.
In
this
paper,
four
prediction
models
were
trained
and
compared,
optimal
model,
Genetic
Algorithm
Optimized
BP
Neural
Network
(GA-BP),
was
finally
selected
for
multi-scenario
of
CE.
Firstly,
study
performs
comprehensive
accounting
indicator
analysis
CE
over
its
entire
life
cycle.
addition,
paper
further
conducts
spatial
differentiation
Subsequently,
parameter
conducted
using
an
improved
STIRPAT
followed
by
LMDI
factor
decomposition
based
model.
Finally,
model
performance
verified
three
evaluation
metrics:
coefficient
determination
(R2),
mean
absolute
error
(MAE),
percentage
(MAPE).
The
results
indicate
that
(1)
in
emission
assessment,
reached
peak
42.52
t
per
capita
annually
8.90
CO2/m2
unit
area;
(2)
year-end
resident
population
has
greatest
influence
CE,
other
related
variables
also
contributing
positively;
(3)
GA-BP
outperforms
models,
R2
increasing
0.0435
0.0981,
MAE
reducing
63%
76%,
MAPE
decreasing
23%
68%.
