Optimization of enzymatic hydrolysis of corn starch to obtain glucose syrups by genetic algorithm
DYNA,
Год журнала:
2025,
Номер
92(235), С. 83 - 91
Опубликована: Март 19, 2025
Este
trabajo
corresponde
a
la
optimización
de
las
variables
operación
hidrólisis
enzimática
almidón
maíz
para
obtención
jarabes
glucosa
utilizando
el
algoritmo
genético
Matlab
(2020a).
Para
ello,
proceso
se
modeló
matemáticamente
mediante
metodología
superficie
respuesta.
El
diagrama
Pareto
indicó
que
sacarificación
ejercen
mayor
influencia
en
conversión
del
almidón.
modelo
matemático
es
gran
utilidad
una
mejor
comprensión
y
control
operacional
nivel
industrial.
La
solución
problema
muestra
puede
alcanzarse
un
equivalente
máximo
dextrosa
98,13%
si
realiza
condiciones
operacionales
óptimas,
cuales
comprobaron
experimentalmente.
Los
resultados
muestran
que,
alcanzar
rendimiento,
licuefacción
debe
llevarse
cabo
temperatura
92oC,
pH
6,3,
dosis
α-amilasa
1,5
mg
enzima/g
tiempo
1
hora;
mientras
realizarse
57oC,
4,9,
glucoamilasa
1,15
34
horas.
fenómeno
reversión
detectó
cuando
superó
35
horas,
con
incidencia
negativa
sobre
dextrosa.
Influence of Dissolved Solids Composition on the Impurities Sedimentation of Alkalinized Sugarcane Juice
Sugar Tech,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 22, 2025
Язык: Английский
Sustainable Construction in post-industrial Ursus district in Warsaw: Biologically Active Areas on Roofs and Underground Garages
Inżynieria Bezpieczeństwa Obiektów Antropogenicznych,
Год журнала:
2024,
Номер
3, С. 10 - 35
Опубликована: Сен. 3, 2024
Urbanization
leads
to
the
expansion
of
urban
areas
and
increased
population
density,
which
has
a
negative
impact
on
natural
resources,
including
green
spaces.
To
address
these
environmental
challenges,
various
measures
sustainable
development
practices
offer
environmental,
economic
societal
benefits.
This
article
provides
an
overview
different
types
roofs,
discusses
their
advantages
disadvantages,
outlines
current
legislation
biologically
active
in
new
residential
developments.
A
project
Ursus
district
Warsaw
was
used
as
case
study
compare
intensive
extensive
roofs.
The
involved
installation
vegetation
roof
underground
garage
later
building,
with
detailed
descriptions
layers
used.
One
experiment
examined
seasonal
variations
water
runoff
from
Three
test
sites
simulated
seasons,
substrates
containers
watered
twice
daily.
Results
showed
that
spring,
temperatures
around
15°C,
provided
optimal
conditions
for
establishment,
while
winter
posed
challenges
due
frost.
Both
roofs
have
positive
social
impacts,
supporting
pillars
development.
Examples
global
infrastructure
further
illustrate
Язык: Английский
D3AT-LSTM: An Efficient Model for Spatiotemporal Temperature Prediction Based on Attention Mechanisms
Electronics,
Год журнала:
2024,
Номер
13(20), С. 4089 - 4089
Опубликована: Окт. 17, 2024
Accurate
temperature
prediction
is
essential
for
economic
production
and
human
society’s
daily
life.
However,
most
current
methods
only
focus
on
time-series
modeling
prediction,
ignoring
the
complex
interplay
of
meteorological
variables
in
spatial
domain.
In
this
paper,
a
novel
model
(D3AT-LSTM)
proposed
by
combining
three-dimensional
convolutional
neural
network
(3DCNN)
attention-based
gated
cyclic
network.
Firstly,
historical
series
eight
surrounding
pixels
are
combined
to
construct
multi-dimensional
feature
tensor
that
integrates
from
temporal
domain
as
input
data.
Convolutional
units
used
analyze
spatiotemporal
patterns
local
sequence
CNN
modules
them
with
parallel
attention
mechanisms.
The
fully
connected
layer
finally
makes
final
prediction.
This
method
subsequently
compared
both
classical
state-of-art
models
such
ARIMA
(AR),
long
short-term
memory
(LSTM),
Transformer
using
three
indices:
root
mean
square
error
(RMSE),
absolute
(MAE),
coefficient
determination
(R2).
results
indicate
D3AT-LSTM
can
achieve
good
accuracy
AR,
LSTMs,
Transformer.
Язык: Английский