Circular Bioeconomy in Action: Transforming Food Wastes into Renewable Food Resources
Foods,
Год журнала:
2024,
Номер
13(18), С. 3007 - 3007
Опубликована: Сен. 23, 2024
The
growing
challenge
of
food
waste
management
presents
a
critical
opportunity
for
advancing
the
circular
bioeconomy,
aiming
to
transform
into
valuable
resources.
This
paper
explores
innovative
strategies
converting
wastes
renewable
resources,
emphasizing
integration
sustainable
technologies
and
zero-waste
principles.
main
objective
is
demonstrate
how
these
approaches
can
contribute
more
system
by
reducing
environmental
impacts
enhancing
resource
efficiency.
Novel
contributions
this
study
include
development
bioproducts
from
various
streams,
highlighting
potential
underutilized
resources
like
bread
jackfruit
waste.
Through
case
studies
experimental
findings,
illustrates
successful
application
green
techniques,
such
as
microbial
fermentation
bioprocessing,
in
valorizing
wastes.
implications
research
extend
policy
frameworks,
encouraging
adoption
bioeconomy
models
that
not
only
address
challenges
but
also
foster
economic
growth
sustainability.
These
findings
underscore
serve
cornerstone
transition
circular,
regenerative
economy.
Язык: Английский
Towards Fault Detection in Industrial Equipment through Energy Consumption Analysis: Integrating Machine Learning and Statistical Methods
Nada Baddou,
Afaf Dadda,
Bouchra Rzine
и другие.
E3S Web of Conferences,
Год журнала:
2025,
Номер
601, С. 00079 - 00079
Опубликована: Янв. 1, 2025
Accurately
forecasting
the
energy
consumption
of
industrial
equipment
and
linking
these
forecasts
to
health
has
become
essential
in
modern
manufacturing.
This
capability
is
crucial
for
advancing
predictive
maintenance
strategies
reduce
greenhouse
gas
emissions.
In
this
study,
we
propose
a
hybrid
model
that
combines
Long
Short-Term
Memory
(LSTM)
prediction
with
statistical
change-point
detection
algorithm
identify
significant
shifts
patterns.
These
are
then
correlated
equipment’s
status,
providing
comprehensive
overview
usage
potential
failure
points.
our
case
began
by
evaluating
confirm
performance
LSTM,
comparing
it
several
machine
learning
models
commonly
used
literature,
such
as
Random
Forest,
Support
Vector
Machines
(SVM),
GRU.
After
assessing
different
loss
functions,
LSTM
achieved
strongest
accuracy,
an
RMSE
0.07,
MAE
0.0188,
R
2
92.7%.
The
second
part
model,
which
focuses
on
detecting
change
points
patterns,
was
evaluated
testing
cost
functions
combined
binary
segmentation
dynamic
programming.
Applied
real-world
case,
successfully
detected
point
two
months
before
failure,
offering
27,052
kWh.
framework
not
only
clarifies
relationship
between
CO2
emissions
but
also
provides
actionable
insights
into
emission
reduction,
contributing
both
economic
environmental
sustainability.
Язык: Английский
Special issue “Resource Recovery from Waste Biomass: Unveiling Cutting-Edge Conversion Technologies and Integrated Bio-Refineries”
Process Safety and Environmental Protection,
Год журнала:
2025,
Номер
unknown, С. 107073 - 107073
Опубликована: Март 1, 2025
Язык: Английский
Review: Insects as a novel feed ingredient: processing technologies, quality and safety considerations
animal,
Год журнала:
2025,
Номер
unknown, С. 101495 - 101495
Опубликована: Март 1, 2025
Язык: Английский
Labelling the Carbon Footprint as a Strategic Element of Environmental Assessment of Agricultural Systems
Agricultural Engineering/Inżynieria Rolnicza,
Год журнала:
2024,
Номер
28(1), С. 235 - 250
Опубликована: Янв. 1, 2024
Abstract
The
aim
of
the
study
was
to
assess
potential
use
carbon
footprint
for
environmental
evaluation
agricultural
systems.
Carbon
analysis
in
agriculture
has
a
strategic
dimension
terms
sustainable
food
production.
Reducing
negative
impact
on
climate
change
is
key
element
many
quality
management
systems
and
included
legislation
countries.
One
challenges
calculating
lack
clear
methodologies
determination
greenhouse
gas
(GHG)
emissions
at
this
stage.
Normative
documents
highlight
need
consider
all
areas
GHG
emissions,
but
practice,
exceedingly
difficult
due
specific
characteristics
plant
production,
which
takes
place
under
variable
conditions
related
soil
type,
its
properties,
chemical
composition,
climate,
production
technology.
Based
review
scientific
literature,
it
concluded
that
studies
evaluations
technology
improvements
(implementing
actions
compensate
anthropogenic
pressure)
should
be
conducted
within
an
individual
system
boundary.
boundary
developed
based
process
map
created
accordance
with
guidelines
ISO
31000:2018.
Most
input
data
used
calculations
must
standardized
range
parameters
dependent
natural,
geographical,
infrastructural
location.
Язык: Английский
Transesterification of Castor Oil and Ethanol using Green Catalyst for biodiesel production through Box-Behnken Design
Biocatalysis and Agricultural Biotechnology,
Год журнала:
2024,
Номер
unknown, С. 103480 - 103480
Опубликована: Дек. 1, 2024
Язык: Английский
La dualidad de la inteligencia artificial en la sostenibilidad de las cadenas de suministro: una revisión narrativa
European Public & Social Innovation Review,
Год журнала:
2024,
Номер
9, С. 1 - 21
Опубликована: Авг. 20, 2024
Introducción:
En
la
era
digital
actual,
inteligencia
artificial
(IA)
se
posiciona
como
una
herramienta
crucial
para
avanzar
hacia
cadenas
de
suministro
sostenibles,
abordando
ineficiencias
y
reduciendo
emisiones
carbono
derivadas
creciente
demanda
energética.
Metodología:
Se
realizó
revisión
narrativa
literatura,
evaluando
artículos
publicados
en
las
bases
datos
Scopus
Science
Direct
entre
2022
2024,
capturar
los
avances
recientes
del
impacto
IA
sostenibilidad
suministro.
Resultados:
Los
hallazgos
subrayan
capacidad
optimizar
procesos
logísticos,
mejorar
predicción
gestionar
inventarios
manera
eficiente,
huella
optimizando
el
uso
recursos.
Discusión:
Aunque
beneficios
son
significativos,
implementación
enfrenta
desafíos
alto
consumo
energético
complejidad
integración
datos.
Es
esencial
considerar
implicaciones
éticas
sociales
maximizar
minimizar
impactos
negativos.
Conclusiones:
La
gestión
cadena
representa
un
avance
significativo
eficiencia
operativa.
requieren
tecnologías
más
eficientes
políticas
que
apoyen
adopción
sostenible
superar
beneficios.
Optimization of plasma-activated water-assisted extraction of basil seed (Ocimum basilicum L.) mucilage: Effect on phenols, flavonoids, antioxidant, thermal and morphological properties
Innovative Food Science & Emerging Technologies,
Год журнала:
2024,
Номер
unknown, С. 103876 - 103876
Опубликована: Ноя. 1, 2024
Язык: Английский