Hybrid deep learning for climate prediction with temporal, spatial, and environmental data
International Journal of Information Technology,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 27, 2025
Язык: Английский
Evaluating the Effect of Environmental Beliefs on the Intention to Green Entrepreneurial Behavior
International Journal of Environmental Research,
Год журнала:
2024,
Номер
19(1)
Опубликована: Ноя. 26, 2024
Язык: Английский
Exploring the Effects of Greenhouse Gases and Particulate Emissions on Quality of Life: A Country-Level Empirical Study
Climate,
Год журнала:
2024,
Номер
12(11), С. 176 - 176
Опубликована: Ноя. 2, 2024
This
study
explores
the
relationship
between
greenhouse
gases
(GHGs)
and
particulate
emissions
quality
of
life.
The
aim
is
to
understand
how
affect
life
globally—across
countries,
regions,
global
population.
Statistical
methods
were
used
examine
impact
various
emissions’
indicators
on
different
aspects
highlights
urgent
need
for
climate
change
action
encourages
policymakers
take
strategic
steps.
Climate
adversely
affects
numerous
daily
life,
leading
significant
consequences
that
must
be
addressed
through
policy
changes
governance
recommendations.
Key
findings
include
higher
CO2
methane
air
pollution
negatively
are
positively
associated
with
electricity
while
GDP
unemployment.
Air
has
an
adverse
effect
all
three
children’s
welfare
dimension
These
results
provide
timely
convincing
insights
policy-
decision-making
aimed
at
mitigating
Язык: Английский
Characterization of glomalin proteins in soil: A potential indicator of erosion intensity
Open Geosciences,
Год журнала:
2024,
Номер
16(1)
Опубликована: Янв. 1, 2024
Abstract
In
this
study,
in
a
pioneering
effort,
glomalin
proteins
were
extracted
and
geochemically
characterized
from
soil
Serbia.
Standard
chemical
(dry
combustion,
Walkley-Black)
spectroscopic
methods
(fourier
transform
infrared
spectroscopy
(FTIR),
dynamic
light
scattering
(DLS),
scanning
electron
microscope
(SEM))
used
to
gain
insight
into
the
proteins.
Samples
City
of
Novi
Sad
(Serbia)
for
characterization
comparison.
The
contained
an
average
17
mg/g
glomalin,
representing
≈21%
organic
matter.
DLS
zeta
potential
analysis
FTIR
spectra
reveal
two
significant
differences
before
after
extraction,
indicating
relationship
between
sand
fractions
matter
that
affects
particle
aggregation
erosion
potential.
A
comparison
SEM
images
results
reveals
extract
consists
size
groups
(0.08–1
6
µm),
suggesting
extraction
process
isolates
only
smaller
fraction
less
tightly
bound
particles,
is
influenced
by
both
mineralogy
characteristics
Hence,
our
research
raises
important
questions
about
role
mitigating
degradation
processes,
particularly
erosion.
Our
study
will
enhance
overall
understanding
inspire
future
research,
prove
beneficial
sustainable
restoration
degraded
lands.
Язык: Английский