Results in Engineering,
Год журнала:
2024,
Номер
21, С. 101872 - 101872
Опубликована: Фев. 6, 2024
At
Klang
Valley,
ground-level
ozone
is
a
significant
source
of
air
pollution.
Ozone
(O3)
concentration
affected
by
meteorological
conditions
and
pollutants.
Linear
Regression
Models
(LRM),
Trees
(RT),
Support
Vector
Machines
(SVM),
Ensembles
(ET),
Gaussian
Process
(GPR),
Neural
Networks
(NN)
are
utilized
in
thorough
analysis
to
determine
the
accuracy
various
machine
learning
forecasting
ground
level
O3
concentration.
The
primary
associated
contributions
from
this
research
comparisons
regression
statistical
model
performance
based
on
indicators
root
mean
squared
error
(RMSE),
coefficient
determination
(R2),
(MSE),
absolute
(MAE),
prediction
speed,
training
time
models.
Overall,
exponential
GPR
outperformed
other
models
scenario
1
(S-1),
2
(S-2),
(S-3),
4
(S-4)
incorporating
multiple
number
lags
into
respective
scenarios
new
method
testing
"re-substitution"
performed
more
reliable
consistent
than
applying
identical
datasets
20
%
testing.
findings
showed
that
accurate
results
with
R2
=
0.98,
0.95,
0.96,
0.96
for
S-1,
S-2,
S-3
S-4
respectively.
Journal of Internal Medicine,
Год журнала:
2022,
Номер
292(3), С. 512 - 522
Опубликована: Апрель 13, 2022
Abstract
Background
Long‐term
exposure
to
ambient
ozone
links
aging
biomarkers
and
increased
risk
for
atherosclerotic
cardiovascular
diseases
(ASCVD).
However,
the
roles
of
in
association
long‐term
with
ASCVD
are
unclear.
Methods
A
total
5298
participants
completed
questionnaire
physical
examination
provided
biological
specimens.
Aging
(telomere
length
[TL]
mitochondrial
copy
number
[mtDNA‐CN])
were
measured
by
using
a
real‐time
polymerase
chain
reaction
method.
The
concentration
was
assessed
random
forest
model.
Associations
or
10‐year
analyzed
logistic
regression
models.
explored
mediation
analysis.
Results
adjusted
odds
ratios
95%
confidence
interval
high
1.16
(1.08,
1.25),
0.71
(0.60,
0.85),
0.78
(0.64,
0.96)
each
1‐unit
increment
(1
μg/m
3
)
concentration,
relative
TL,
mtDNA‐CN,
respectively.
mediated
proportion
between
TL
mtDNA‐CN
21.13%
7.75%,
plus
21.02%.
Conclusions
associated
risk,
partially
(shortened
decreased
mtDNA‐CN).
This
study
indicated
that
pollution–related
might
be
explained
telomere–mitochondrial
axis
aging.
