IntechOpen eBooks,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 5, 2025
This
study
explores
how
healthcare
investment
influences
health
system
capabilities
during
the
COVID-19
pandemic
across
European
countries.
It
investigates
if
higher
spending
correlates
with
lower
fatality
rates
using
data
from
World
Bank,
OECD,
and
Eurostat.
Examining
a
sample
of
nations,
research
identifies
that
countries
initial
in
2020
consistently
maintained
elevated
subsequent
years.
These
generally
allocated
smaller
GDP
percentage
to
healthcare,
had
per
capita,
invested
less
development
compared
others.
Statistical
analysis
reveals
significant
negative
correlation
between
mortality
2022
expenditure
as
2020,
suggesting
strong
association
greater
reduced
rates.
The
underscores
importance
robust
funding
bolstering
nation’s
capacity
manage
mitigate
impacts
crises
like
COVID-19.
Polymers,
Journal Year:
2023,
Volume and Issue:
15(16), P. 3421 - 3421
Published: Aug. 16, 2023
This
review
article
focuses
on
the
potential
of
biopolymer-based
nanocomposites
incorporating
nanoparticles,
graphene
oxide
(GO),
carbon
nanotubes
(CNTs),
and
nanoclays
in
adsorption
membrane
filtration
processes
for
water
treatment.
The
aim
is
to
explore
effectiveness
these
innovative
materials
addressing
scarcity
contamination
issues.
highlights
exceptional
capacities
improved
performance
offered
by
chitosan,
GO,
CNTs,
which
make
them
effective
removing
heavy
metals,
organic
pollutants,
emerging
contaminants
from
water.
It
also
emphasizes
high
surface
area
ion
exchange
capacity
nanoclays,
enabling
removal
contaminants,
dyes.
Integrating
magnetic
(Fe2O4)
adsorbents
technologies
highlighted
enhance
separation
efficiency.
limitations
challenges
associated
are
discussed.
concludes
emphasizing
importance
collaboration
with
industry
stakeholders
advancing
sustainable
comprehensive
treatment
solutions.
Chemosphere,
Journal Year:
2024,
Volume and Issue:
351, P. 141245 - 141245
Published: Jan. 21, 2024
Water
crisis
around
the
world
leads
to
a
growing
interest
in
emerging
contaminants
(ECs)
that
can
affect
human
health
and
environment.
Research
showed
thousands
of
compounds
from
domestic
consumers,
such
as
endocrine
disrupting
chemicals
(EDCs),
personal
care
products
(PCPs),
pharmaceuticals
active
(PhAcs),
could
be
found
wastewater
concentration
mostly
ng
L−1
μg
L−1.
However,
generally,
treatment
plants
(WWTPs)
are
not
designed
remove
these
ECs
their
discharge
levels.
Scientists
looking
for
economically
feasible
biotreatment
options
enabling
complete
removal
before
discharge.
Microalgae
cultivation
is
likely
approach
removing
simultaneously
any
residual
organic
nutrients.
Microalgal
growth
rate
efficiency
affected
by
various
factors,
including
light
intensity,
CO2
addition,
presence
different
nutrients,
etc.,
parameters
greatly
help
make
microalgae
more
efficient.
Furthermore,
algal
biomass
harvests
repurposed
produce
bulk
sustainable
aviation
fuel,
biofuel,
bioplastic,
biochar;
this
significantly
enhance
economic
viability.
Therefore,
review
summarizes
microalgae-based
bioprocess
mechanisms
wastewaters
highlights
strategies
improve
efficiency.
shows
role
profile
relevance
using
ECs-treated
green
products,
well
challenges
future
research
recommendations.
Technologies,
Journal Year:
2024,
Volume and Issue:
12(5), P. 66 - 66
Published: May 10, 2024
One
of
the
fundamental
problems
in
field
technological
studies
is
to
clarify
drivers
and
dynamics
evolution
for
sustaining
industrial
economic
change.
This
study
confronts
problem
by
analyzing
converging
technologies
explain
effects
on
evolutionary
over
time.
paper
focuses
interaction
between
artificial
intelligence
quantum
using
a
technometric
model
based
scientific
information
(publications
patents).
Findings
show
that
technology
has
growth
rate
1.07,
1.37,
whereas
an
accelerated
1.58,
higher
than
trends
these
taken
individually.
These
findings
suggest
one
determinants
rapid
path-breaking
disruptive
innovations.
The
deductive
implications
results
about
are:
(a)
growth;
(b)
disproportionate
(allometric)
patents
driven
publications
supporting
fast
evolution.
Our
support
policy
managerial
decision
making
policymakers,
analysts,
R&D
managers
can
direct
investments
towards
fruitful
inter-relationships
radical
foster
change
with
positive
societal
impcats.
Sci,
Journal Year:
2024,
Volume and Issue:
6(2), P. 31 - 31
Published: June 3, 2024
The
proposed
general
theory
of
scientific
variability
for
technological
evolution
explains
one
the
drivers
change
economic
progress
in
human
society.
Variability
is
predisposition
elements
systems
to
assume
different
values
over
time
and
space.
In
biology,
basic
explaining
differences
development
organisms.
economics
technical
change,
effects
within
research
fields
on
evolutionary
dynamics
related
technologies
are
unknown.
a
broad
analogy
with
principles
suggested
theoretical
framework
here
can
clarify
driver
evolution:
explain
evolution.
study
sees
whether
statistical
evidence
supports
hypothesis
that
rate
growth
be
explained
by
level
fields.
validation
based
emerging
quantum
technologies:
imaging,
meteorology,
sensing,
optics.
Statistical
seems
support
stated
fields,
measured
relative
entropy
(indicating
dispersion
topics
field
underlying
specific
technology).
Nonparametric
correlation
Spearman’s
rho
shows
positive
coefficient
0.80
between
measures
rates
linear
model
relation
reveals
regression
equal
1.63
(R2
=
0.60).
findings
suggest
law
positively
drives
particular,
higher
high
especially
relevant
turbulent
environments
technology-based
competition
determinant
design
strategies
forecasting
management
promising
innovations.
Variability
is
the
predisposition
of
phenomena
to
assume
different
values
over
time.
higher
when
differences
cases
from
each
other
are
larger
or
diverge
a
specific
value,
such
as
arithmetic
mean.
This
study
focuses
on
variability
research
topics
within
and
between
fields
explain,
whenever
possible,
how
shapes
structure
dynamics
technological
trajectories.
Analysis
here
applies
entropy
variance
decomposition
main
in
quantum
technologies.
Empirical
evidence
shows
that
inversely
proportional
age
fields.
Inductive
implications
recent
scientific
due
uncertain
generates
heterogeneity
trajectories
some
them
can
growth
develop
towards
fruitful
directions
others
be
dismissed.
Hence
seems
one
drivers
evolution
provide
policy
managerial
improve
forecasting
may
support
appropriate
decisions
R&D
investments
promising
