Sustainability,
Год журнала:
2022,
Номер
14(2), С. 737 - 737
Опубликована: Янв. 10, 2022
Coronavirus
disease
(COVID-19),
caused
by
the
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2),
has
a
rapidly
spreading
pandemic
and
is
severely
threatening
public
health
globally.
The
human-to-human
transmission
route
of
SARS-CoV-2
now
well
established.
reported
clinical
observations
symptoms
this
infection
in
humans
appear
range
between
being
asymptomatic
pneumonia.
virus
can
be
transmitted
through
aerosols
droplets
that
are
released
into
air
carrier,
especially
when
person
coughs,
sneezes,
or
talks
forcefully
closed
environment.
As
progresses,
use
handling
contaminated
personal
protective
equipment
facemasks
have
become
major
issues
with
significant
environmental
risks.
Therefore,
providing
an
effective
method
for
treating
used/contaminated
crucial.
In
paper,
we
review
challenges
risks
associated
surge
facemask
production.
We
also
discuss
their
materials
as
sources
microplastics
how
disposal
procedures
potentially
lead
to
contamination
water
resources.
herein
potential
developing
nanomaterial-based
antiviral
self-cleaning
facemasks.
This
discusses
these
concludes
sustainable
alternative
promising
viable
solution.
context,
it
essential
address
emerging
new
class
against
virus,
while
biodegradable
sustainable.
paper
represents
potentials
natural
and/or
polymers
manufacturing
facemasks,
such
wood-based
polymers,
chitosan,
other
synthetic
achieving
sustainability
goals
during
after
pandemics.
Arabian Journal for Science and Engineering,
Год журнала:
2024,
Номер
49(10), С. 13651 - 13670
Опубликована: Фев. 19, 2024
Abstract
Expansive
clays
with
high
plasticity
need
to
be
stabilized
prevent
hazards
that
may
arise
due
the
extreme
volume
changes
experienced
moisture
fluctuations.
Utilizing
a
kind
of
natural
and
eco-friendly
sustainable
fiber
named
as
basalt
into
soils
has
become
new
issue
needs
expanded
in
scope.
In
this
paper,
plastic
soil
was
by
these
fibers
reduce
possible
soil-induced
disasters.
Basalt
different
lengths
were
mixed
clay
at
varied
amounts.
Due
soil’s
sensitivity
water,
samples
prepared
distinct
water
contents,
2
on
dry
3
wet
side
optimum.
To
question
whether
strength
loss
change
can
regained
or
not,
tests
performed
both
samples.
Through
tests,
it
revealed
expansive
enhanced
up
280%
content
2%.
The
highest
obtained
approximately
880
kPa
mixing
24
mm
15%
1
2%
ratios.
As
anticipated,
long
(24
mm)
supplied
real
reinforcement
even
contents.
addition,
data
set
used
train
machine
learning
algorithms
(linear,
ridge,
lasso,
support
vector,
decision
tree)
have
just
started
applied
geotechnical
engineering.
Results
proved
that,
tree
regression
outperformed
stress
strain
0.85
R
-squared
(
)
0.91
estimation.
Additionally,
from
feature
importance
analyses
an
85%
97%
strain.
