Coastal
saline-alkali
areas
represent
a
huge
under-exploited
land
and
water
resources.
Due
to
the
high
salinity,
there
exists
great
discrepancy
between
benefits
derived
from
cultivation
of
agricultural
crops
cost
in
terms
manpower
material
Mud
crab
Scylla
paramamosain
can
survive
wide
range
making
it
an
excellent
aquaculture
specie
crop-fish
co-cropping
coastal
areas.
However,
detailed
research
concerned
with
economic
ecological
efficiencies
remained
unclear.
This
study
investigated
effect
stocking
density
S.
salt-tolerant
rice
on
benefits,
physiochemical
parameter,
as
well
microecological
change.
By
elaborate
management
cropping,
together
comprehensive
investigation
influence
paddy
soil,
microbial
community
alteration,
functional
gene
dynamics,
we
found
that
under
appropriate
6000
ind/ha
generated
highest
net
profit,
which
is
more
than
9-fold
higher
monoculture.
Besides,
nutrient
inflow
increased
environmental
burden
densities.
Microbial
composition
structure
altered
shown
by
16S
amplicon
sequencing
soil
samples.
Functional
chips
confirmed
carbon,
nitrogen,
sulphur,
phosphorus
cycle
genes
contributed
function.
proposed
new
salt
tolerant
rice-mud
integrated
culture
mode,
customized
for
underdeveloped
areas,
will
be
helpful
promote
sustainable
development.
Materials and Corrosion,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 27, 2025
ABSTRACT
Crevice
corrosion
and
products
were
observed
during
the
maintenance
of
a
carbon
steel
cooler
repeatedly
treated
with
commercially
produced
anticorrosive
coating.
This
prompted
case
study
to
investigate
possible
microbially
influenced
(MIC)
in
system
operating
at
moderate
temperatures
treated,
chlorinated
cooling
water.
Cooling
water,
products,
sediments,
swabs
analyzed
for
microstructural,
chemical
microbiological
characteristics.
The
water
contained
sufficient
nutrients
support
microbial
growth,
along
chlorides
that
could
compromise
material
integrity.
Chemical
analysis
revealed
elevated
sulfur
levels,
suggesting
activity.
Molecular‐genetic
showed
significant
abundance
sulfur‐oxidizing,
nitrate‐reducing,
sulfate‐reducing,
methylotrophic
bacteria
products.
Our
results
indicate
synergistic
activity
these
was
primary
cause
MIC
system,
despite
use
treatments,
highlighting
need
revise
mitigation
strategy.
ChemEngineering,
Год журнала:
2024,
Номер
8(2), С. 42 - 42
Опубликована: Апрель 6, 2024
Coaxial
bioreactors
are
known
for
effectively
dispersing
gas
inside
non-Newtonian
fluids.
However,
due
to
their
design
complexity,
many
aspects
of
and
function,
including
the
relationship
between
hydrodynamics
bioreactor
efficiency,
remain
unexplored.
Nowadays,
various
numerical
models,
such
as
computational
fluid
dynamics
(CFD)
artificial
intelligence
provide
exceptional
opportunities
investigate
performance
coaxial
bioreactors.
For
first
time,
this
study
applied
machine
learning
both
classifiers
regressors,
predict
torque
generated
by
a
bioreactor.
In
regard,
500
CFD
simulations
at
different
aeration
rates,
central
impeller
speeds,
anchor
rotating
modes
were
conducted.
The
results
obtained
from
used
train
test
models.
Careful
feature
scaling
k-fold
cross-validation
performed
enhance
all
models’
prevent
overfitting.
A
key
finding
was
importance
selecting
right
features
model.
It
turns
out
that
just
knowing
speed
bioreactor,
mode
can
be
labelled
with
perfect
accuracy
using
k-nearest
neighbors
(kNN)
or
support
vector
Moreover,
regression
multi-layer
perceptron,
kNN,
random
forest,
examined
impellers.
showed
forest
model
outperformed
other
Finally,
analysis
indicated
most
significant
parameter
in
determining
value.
