International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(2), P. 1001 - 1001
Published: Jan. 13, 2024
Globally,
cardiovascular
diseases
(CVDs)
are
the
leading
cause
of
death
and
disability.
While
there
many
therapeutic
alternatives
available
for
management
CVDs,
majority
classic
strategies
were
found
to
be
ineffective
at
stopping
or
significantly/additionally
slowing
progression
these
diseases,
they
had
unfavorable
side
effects.
Numerous
metal-based
nanoparticles
(NPs)
have
been
created
overcome
limitations,
demonstrating
encouraging
possibilities
in
treatment
CVDs
due
advancements
nanotechnology.
Metallic
nanomaterials,
including
gold,
silver,
iron,
come
various
shapes,
sizes,
geometries.
NPs
generally
smaller
more
specialized
physical,
chemical,
biological
properties.
Metal-based
may
forms,
such
as
nanoshells,
nanorods,
nanospheres,
studied
most.
Massive
potential
applications
metal
nanomaterial
structures
include
supporting
molecular
imaging,
serving
drug
delivery
systems,
enhancing
radiation-based
anticancer
therapy,
supplying
photothermal
transforming
effects
thermal
being
compounds
with
bactericidal,
fungicidal,
antiviral
qualities
that
helpful
diseases.
In
this
context,
present
paper
aims
review
relevant
oxide
creating
an
up-to-date
framework
aids
researchers
developing
efficient
strategies.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: May 29, 2023
In
contrast
to
well-known
bivariate
statistical
approach,
which
is
known
properly
forecast
extreme
response
levels
for
two-dimensional
systems,
the
research
validates
innovative
structural
reliability
method,
particularly
appropriate
multi-dimensional
responses.
The
disadvantage
of
dealing
with
large
system
dimensionality
and
cross-correlation
across
multiple
dimensions
not
a
benefit
traditional
dependability
approaches
that
deal
time
series.
Since
offshore
constructions
are
built
handle
extremely
high
wind
wave
loads,
understanding
these
severe
stresses
essential,
e.g.
turbines
should
be
operated
least
amount
inconvenience.
first
scenario,
blade
root
flapwise
bending
moment
examined,
whereas
in
second,
tower
bottom
fore-aft
examined.
FAST
simulation
program
was
utilized
generate
empirical
moments
this
investigation
load
instances
activated
at
under-rated,
rated,
above-rated
speeds.
novel
conventional
methods,
does
call
study
function
case
numerical
simulation.
As
demonstrated
work,
it
now
possible
assess
multi-degree-of-freedom
nonlinear
failure
probability,
when
only
limited
measurements
available.
Frontiers in Immunology,
Journal Year:
2023,
Volume and Issue:
14
Published: July 7, 2023
Monocytes
are
circulating
leukocytes
of
innate
immunity
derived
from
the
bone
marrow
that
interact
with
endothelial
cells
under
physiological
or
pathophysiological
conditions
to
orchestrate
inflammation,
angiogenesis,
tissue
remodeling.
attracted
by
chemokines
and
specific
receptors
precise
areas
in
vessels
tissues
transdifferentiate
into
macrophages
damage
infection.
Adherent
monocytes
infiltrated
monocyte-derived
locally
release
a
myriad
cytokines,
vasoactive
agents,
matrix
metalloproteinases,
growth
factors
induce
vascular
remodeling
for
propagation
inflammatory
responses.
Infiltrated
cooperate
tissue-resident
during
all
phases
injury,
repair,
regeneration.
Substances
released
resident
serve
not
only
coordinate
vessel
but
cellular
interactions
as
well
attracting
more
(e.g.
MCP-1)
stimulating
nearby
TNF-α)
expose
monocyte
adhesion
molecules.
Prolonged
accumulation
activation
may
result
alterations
extracellular
turnover,
functions,
leakage.
In
this
review,
we
highlight
link
between
infiltrating
regulate
special
focus
on
how
these
contribute
such
cardiovascular
chronic
liver
diseases.
Journal of Marine Science and Engineering,
Journal Year:
2023,
Volume and Issue:
11(6), P. 1237 - 1237
Published: June 16, 2023
Wind
turbines
and
their
associated
parts
are
subjected
to
cyclical
loads,
such
as
bending,
torque,
longitudinal
stresses,
twisting
moments.
The
novel
spatiotemporal
reliability
technique
described
in
this
research
is
especially
useful
for
high-dimensional
structural
systems
that
either
measured
or
numerically
simulated
during
representative
observational
time
span.
As
study
demonstrates,
it
possible
predict
risks
of
dynamic
system
failure
damage
given
the
situ
environmental
load
pattern.
an
engineering
example
reliability,
authors
have
chosen
10-MW
floating
wind
responses,
under
loadings,
caused
by
waves.
aim
was
benchmark
a
state-of-the-art
approach
suitable
reliable
offshore
turbines.
Existing
methods
do
not
easily
cope
with
high
dimensionality.
advocated
enables
accurate
efficient
assessment
probability,
accounting
nonlinearities
dimensionality
well
cross-correlations
between
different
components.
Energy Science & Engineering,
Journal Year:
2023,
Volume and Issue:
11(8), P. 2742 - 2750
Published: May 11, 2023
Abstract
Green
renewable
energy
is
produced
by
floating
offshore
wind
turbines
(FOWT),
a
crucial
component
of
the
modern
industry.
It
safety
concern
to
accurately
evaluate
excessive
weights
while
FOWT
operates
in
adverse
weather
conditions.
Under
certain
water
conditions,
dangerous
structural
bending
moments
may
result
operational
concerns.
Using
commercial
FAST
software,
study's
hydrodynamic
ambient
wave
loads
were
calculated
and
converted
into
loads.
This
article
suggests
Monte
Carlo‐based
engineering
technique
that,
depending
on
simulations
or
observations,
computationally
effective
for
predicting
extreme
statistics
either
load
response
process.
The
innovative
deconvolution
has
been
thoroughly
explained.
suggested
approach
effectively
uses
entire
set
data
produce
clear
but
accurate
estimate
severe
values
fatigue
life.
In
this
study,
estimated
obtained
using
novel
compared
identical
modified
Weibull
technique.
expected
that
enhanced
new
de‐convolution
methodology
offer
dependable
correct
forecast
based
overall
performance
advised
due
environmental
loading.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: Sept. 28, 2023
Abstract
Fatigue
damage
prediction
is
essential
for
safety
of
contemporary
offshore
energy
industrial
projects,
like
wind
turbines,
that
are
to
be
designed
sufficiently
long
operational
period
time,
with
minimal
disruptions.
Offshore
structures
being
withstand
environmental
loadings
due
winds
and
waves.
Due
accumulated
fatigue
damage,
floating
turbines
may
develop
material
cracks
in
their
critical
locations
sooner
than
expected.
Dataset
needed
an
accurate
assessment
produced
by
either
extensive
numerical
modeling,
or
direct
measurements.
However,
reality,
temporal
length
the
underlying
dataset
typically
too
short
provide
calculation
life.
Hence,
objective
this
work
contribute
development
novel
methods,
making
better
use
limited
dataset.
In
study,
in-situ
conditions
were
incorporated
assess
FWT
tower
base
stresses;
then
structural
cumulative
has
been
assessed.
Novel
deconvolution
extrapolation
method
introduced
it
was
shown
able
accurately
predict
long-term
damage.
The
latter
technique
validated,
using
artificially
reduced
dataset,
resulted
close
calculated
from
full
original
Recommended
utilize
available
much
more
efficiently,
compared
estimation.
Accurate
turbine
characteristics
reliability,
design,
safety.
Sustainable Energy Research,
Journal Year:
2023,
Volume and Issue:
10(1)
Published: Oct. 26, 2023
Abstract
Modern
offshore
and
onshore
green
energy
engineering
includes
harvesting—as
a
result,
extensive
experimental
investigations,
as
well
safety
reliability
analysis
are
crucial
for
design
engineering.
For
this
study,
several
wind-tunnel
experiments
under
realistic
in
situ
wind
speed
conditions
have
been
conducted
to
examine
the
performance
of
galloping
harvester.
Next,
novel
structural
approach
is
presented
here
that
especially
suited
multi-dimensional
harvesting
systems
either
numerically
simulated
or
analog
observed
during
representative
time
lapse,
yielding
an
ergodic
system
record.
As
demonstrated
advocated
methodology
may
be
used
risk
assessment
dynamic
damage
failure.
Furthermore,
traditional
methodologies
dealing
with
series
do
not
easily
cope
system’s
high
dimensionality,
along
nonlinear
cross-correlations
between
components.
This
study’s
objective
was
assess
state-of-the-art
method,
allowing
efficient
extraction
relevant
statistical
information,
even
from
limited
underlying
dataset.
The
described
study
aims
assist
designers
when
assessing
multidimensional
failure
hazard
risks.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: May 29, 2023
As
a
result
of
global
warming,
the
area
polar
pack
ice
is
diminishing,
making
merchant
travel
more
practical.
Even
if
Arctic
thickness
reduced
in
summer,
fractured
still
presenting
operational
risks
to
future
navigation.
The
intricate
process
ship-ice
interaction
includes
stochastic
loading
on
vessel
hull.
In
order
properly
construct
vessel,
severe
bow
forces
that
arise
must
be
accurately
anticipated
using
statistical
extrapolation
techniques.
This
study
examines
an
oil
tanker
encounters
when
sailing
Ocean.
Two
stages
are
taken
analysis.
Then,
FEM
program
ANSYS/LS-DYNA,
force
distribution
estimated.
Second,
estimate
levels
connected
with
extended
return
periods,
average
conditional
exceedance
rate
approach
used
anticipate
forces.
vessel's
itinerary
was
planned
take
advantage
weaker
ice.
result,
Ocean
passage
took
meandering
route
rather
than
linear
one.
ship
data
investigated
inaccurate
regard
encountered
by
yet
skewed
region.
research
intends
demonstrate
effective
application
exact
reliability
particular
route.
Journal of Shipping and Trade,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 2, 2024
Abstract
Modern
cargo
vessel
transport
constitutes
an
important
part
of
global
economy;
hence
it
is
paramount
importance
to
develop
novel,
more
efficient
reliability
methods
for
ships,
especially
if
onboard
recorded
data
available.
Classic
methods,
dealing
with
timeseries,
do
not
have
the
advantage
efficiently
system
high
dimensionality
and
cross-correlation
between
different
dimensions.
This
study
validates
novel
structural
method
suitable
multi-dimensional
systems
versus
a
well-established
bivariate
statistical
method.
An
example
this
was
chosen
container
ship
subjected
large
deck
panel
stresses
during
sailing.
Risk
losing
containers,
due
extreme
motions
primary
concern
transport.
Due
non-stationarity
complicated
nonlinearities
both
waves
motions,
challenging
model
such
phenomenon.
In
case
role
dramatically
increases,
activating
effects
second
higher
order.
Moreover,
laboratory
tests
may
also
be
questioned.
Therefore,
measured
on
actual
ships
their
voyages
in
harsh
weather
provides
unique
insight
into
statistics
motions.
aimed
at
benchmarking
validation
state-of-the-art
method,
which
enables
extraction
necessary
information
about
dynamics
from
time
histories.
The
proposed
opens
up
broad
possibilities
predicting
simply,
yet
potential
failure
or
damage
risks
nonlinear
dynamic
as
whole.
Note
that
advocated
can
used
wide
range
complex
engineering
systems,
thus
limited
only.