Malaria,
a
dangerous
disease
transmitted
through
mosquito
bites
and
caused
by
Plasmodium
parasites,
presents
substantial
threat
to
human
health.
The
primary
aim
is
streamline
the
process,
rendering
it
quicker,
more
straightforward,
highly
efficient.
foremost
objective
create
robust
computer
model
capable
of
swiftly
distinguishing
cells
in
thin
blood
samples
obtained
from
standard
microscope
slides.
These
will
be
categorized
as
either
infected
or
uninfected,
employing
advanced
image
processing
techniques
facilitate
prompt
effective
testing.
Additionally,
authors
intend
harness
capabilities
machine
learning
for
classifying
cell
images.
purpose
firmly
rooted
desire
enhance
accuracy
speed
malaria
diagnosis,
ultimately
contributing
early
identification
management
this
life-threatening
ailment.
Applied Sciences,
Год журнала:
2025,
Номер
15(3), С. 1132 - 1132
Опубликована: Янв. 23, 2025
Reliably
detecting
COVID-19
is
critical
for
diagnosis
and
disease
control.
However,
imbalanced
data
in
medical
datasets
pose
significant
challenges
machine
learning
models,
leading
to
bias
poor
generalization.
The
dataset
obtained
from
the
EPIVIGILA
system
Chilean
Epidemiological
Surveillance
Process
contains
information
on
over
6,000,000
patients,
but,
like
many
current
datasets,
it
suffers
class
imbalance.
To
address
this
issue,
we
applied
various
algorithms,
both
with
without
sampling
methods,
compared
them
using
different
classification
diagnostic
metrics
such
as
precision,
sensitivity,
specificity,
likelihood
ratio
positive,
odds
ratio.
Our
results
showed
that
applying
methods
improved
metric
values
contributed
models
better
Effectively
managing
crucial
reliable
diagnosis.
This
study
enhances
understanding
of
how
techniques
can
improve
reliability
contribute
patient
outcomes.
International Journal of Scientific Research in Science and Technology,
Год журнала:
2025,
Номер
12(1), С. 183 - 205
Опубликована: Янв. 26, 2025
The
rapid
advancements
in
artificial
intelligence
(AI)
and
automation
are
transforming
post-harvest
technologies,
offering
innovative
solutions
to
improve
food
quality,
safety,
supply
chain
efficiency.
This
paper
reviews
the
role
of
AI-driven
innovations
processing
logistics,
with
a
focus
on
automation,
predictive
analytics,
quality
control.
AI
such
as
machine
learning,
computer
vision,
IoT
integration,
optimizing
processes
like
sorting,
grading,
packaging,
microbial
detection,
reducing
waste
extending
shelf
life.
Moreover,
AI-powered
robotics
smart
warehouses
streamlining
transportation
inventory
management,
enhancing
operational
integration
demand
forecasting
optimization
is
further
improving
traceability,
minimizing
disruptions,
environmental
impact.
Despite
promising
potential,
challenges
data
system
cost
barriers,
regulatory
concerns
remain.
future
technologies
presents
opportunities
for
continued
innovation,
deep
IoT,
global
scalability,
pathways
sustainable
systems.
concludes
by
discussing
impact
sector
its
potential
drive
more
efficient,
resilient,
chains
worldwide.
Current Research in Food Science,
Год журнала:
2025,
Номер
10, С. 100998 - 100998
Опубликована: Янв. 1, 2025
Staphylococcus
aureus
(S.
aureus)
is
a
major
foodborne
pathogen,
could
lead
cause
of
intestinal
infections
in
humans.
Antimicrobial
peptides,
as
emerging
antimicrobial
agents,
are
gradually
replacing
traditional
agents
due
to
their
highly
effective
and
safe
activity.
In
this
study,
novel
peptide,
designated
FAM286,
was
identified
from
TASOR
protein
Larimichthys
crocea,
which
had
strong
activity
against
S.
with
minimum
bactericidal
concentration
(MBC)
3.9
μg/mL
completed
bacteria
killing
by
treatment
for
1.5
h.
The
FAM286
increase
the
permeability
disrupt
integrity
cell
membranes.
showed
aggregation
phenomenon
entered
apoptosis
stage.
addition,
non-bactericidal
effectively
inhibit
formation
biofilm
remove
mature
biofilm.
Molecular
docking
experiments
further
verified
binding
sites
proteins
SarA,
AgrA,
Hld.
also
bind
bacterial
DNA
an
embedded
manner,
disrupting
structure
leading
death
bacteria.
This
study
comprehensively
evaluated
mechanism
provided
theoretical
basis
prevention
control
aureus.
Food Chemistry,
Год журнала:
2025,
Номер
479, С. 143838 - 143838
Опубликована: Март 10, 2025
In
this
study,
we
investigated
the
mechanism
of
action
10-aminoacid
RiLK1
peptide
against
Escherichia
coli
(strain
ATCC
25922),
both
in
vitro
and
contaminated
meat
matrices.
Therefore,
a
mass
spectrometry-based
functional
proteomics
platform
was
employed
to
identify
specific
molecular
targets
membrane
protein-enriched
E.
lysate
obtain
information
on
their
interaction
mechanism.
This
target
deconvolution
approach
combines
MS-limited
proteolysis
techniques,
like
Drug
Affinity
Responsive
Target
Stability
(DARTS)
targeted-limited
Proteolysis
coupled
with
Mass
Spectrometry
(t-LiP-MS).
The
b
δ
subunits
multimeric
enzymatic
complex
ATP
synthase,
smallest
known
biological
nanomotor
found
all
cells,
were
identified
as
relevant
protein
targets.
Extensive
docking
biochemical
analyses
validated
improved
suggested
profile.
These
unique
findings
could
rationally
explain
bactericidal
effects
strains,
suggesting
its
potential
application
food
safety
preservation.
Food Science and Technology International,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 14, 2025
The
aim
of
this
study
is
to
assess
the
impacts
chitosan
(CH)
coating
with
oregano
essential
oil
(OEO)
and
thyme
(TEO)
(0.5%–1.0%;
v/w
)
on
foodborne
pathogens
physicochemical
parameters
beef
burger
during
refrigerated
storage.
Preliminary
experiment
(
in
vitro
demonstrated
that
0.5%
OEO
TEO
were
inhibited
all
or
some
S.
aureus
,
Typhimurium,
E.
coli
O157:H7
.
On
day
30,
coated
CH
+
(1%;
w/v
declined
by
4
5
log
10
CFU
g
−1
respectively,
Typhimurium
decreases
(4,5-6
when
compared
control
sample.
quality
also
enhanced
after
treatment
oils
(EOs),
including
pH
value,
TBARS,
TVB-N
storage
(4
°C/30
d).
Besides,
EOs
reduced
deterioration
sensory
attributes
burger,
color,
odor,
overall
acceptability.
coatings
have
superior
mechanical
qualities
than
sample,
also,
structure
films
was
evaluated
SEM.
In
conclusion,
(OEO,
ETO;
1%)
regarded
as
a
successful
strategy
improve
prolong
shelf
life
burger.
