Frontiers in Bioengineering and Biotechnology,
Год журнала:
2024,
Номер
12
Опубликована: Авг. 30, 2024
Epithelial
cell
adhesion
molecule
negative
circulating
tumor
cells
(EpCAM-
CTCs)
and
EpCAM
positive
CTCs
(EpCAM
+
have
different
biological
characteristics.
Therefore,
the
isolation
of
EpCAM-
is
a
new
strategy
to
study
heterogeneity
cells.
The
azobenzene
group
(Azo)
cyclodextrin
(CD)
composite
system
forms
photosensitive
molecular
switch
based
on
effect
external
light
stimulation.
We
used
technology
specifically
capturing
using
anti-EpCAM
aptamers
functionalized
nanochips.
Both
can
be
connected
Azo
through
1-ethyl-3-(3-dimethylaminopropyl)
carbodiimide/N-hydroxysuccinimide
(EDC/NHS)
modification
process.
we
assume
that
intelligent
nanoreactor
(PSINR)
modified
with
capture
CTCs;
Utilizing
characteristics
aptamer
ligand
binding,
PSINR
Then,
two
PSINRs
were
separated
stimulated
release
CTCs,
respectively.
Based
expected
reveal
key
mechanisms
recurrence,
metastasis
drug
resistance,
make
individualized
treatment
liver
cancer
more
targeted,
safe
effective,
provide
basis
for
final
realization
accurate
tumors.
Cancer Nanotechnology,
Год журнала:
2025,
Номер
16(1)
Опубликована: Янв. 17, 2025
Emphasizing
the
significance
of
cancer-associated
fibroblasts
(CAFs),
non-malignant
yet
pivotal
players
within
tumor
microenvironment
(TME),
this
review
illuminates
role
inflammatory
subtype
(iCAF)
as
catalysts
in
cancer
proliferation,
metastasis,
and
therapeutic
resistance.
Given
their
paramount
importance,
targeting
CAFs
emerges
a
robust
strategy
evolving
landscape
immunotherapy.
Nanomaterials,
distinguished
by
unique
features
malleability,
hold
considerable
promise
biomedicine,
especially
precision-oriented
domain
therapy.
Their
aptitude
for
modulating
immune
responses,
amplifying
drug
efficacy
through
precise
delivery,
discerningly
focusing
on
cells
TME
situates
nanomaterials
formidable
tools
to
transcend
boundaries
set
conventional
treatments.
This
scrutinizes
convoluted
interplay
among
CAFs,
cells,
TME.
It
further
showcases
widely
utilized
management.
We
underscore
potential
nanoscale
delivery
systems
directed
at
underscoring
transformative
power
revolutionizing
therapies,
enhancing
precision,
culminating
improved
patient
outcomes.
Advanced Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 19, 2025
Abstract
Flexible
neuromorphic
architectures
that
emulate
biological
cognitive
systems
hold
great
promise
for
smart
wearable
electronics.
To
realize
neuro‐inspired
sensing
and
computing
electronics,
artificial
sensory
neurons
detect
process
external
stimuli
must
be
integrated
with
central
nervous
capable
of
parallel
computation.
In
near‐sensor
computing,
synaptic
devices,
sensors
are
used
to
receptors,
respectively.
contrast,
in
in‐sensor
a
single
multifunctional
device
serves
as
both
the
receptor
neuron.
Bio‐inspired
efficiently
through
data
structuring
techniques,
significantly
reducing
volume
enabling
extension
applications
systems.
construct
near‐
it
is
crucial
develop
synapses
replicate
functionalities.
Additionally,
exhibit
high
mechanical
flexibility
integration
density.
This
review
addresses
research
on
flexible
bio‐inspired
systems,
classified
into
computing.
It
covers
fundamental
aspects,
including
processes,
required
components,
structures
each
component,
well
Finally,
offers
perspectives
future
directions
electronics
connected
next‐generation
Internet
Things.
Journal of Semiconductors,
Год журнала:
2025,
Номер
46(1), С. 011606 - 011606
Опубликована: Янв. 1, 2025
Abstract
With
the
rapid
development
of
artificial
intelligence
(AI)
technology,
demand
for
high-performance
and
energy-efficient
computing
is
increasingly
growing.
The
limitations
traditional
von
Neumann
architecture
have
prompted
researchers
to
explore
neuromorphic
as
a
solution.
Neuromorphic
mimics
working
principles
human
brain,
characterized
by
high
efficiency,
low
energy
consumption,
strong
fault
tolerance,
providing
hardware
foundation
new
generation
AI
technology.
Artificial
neurons
synapses
are
two
core
components
systems.
perception
crucial
aspect
computing,
where
sensory
play
an
irreplaceable
role
thus
becoming
frontier
hot
topic
research.
This
work
reviews
recent
advances
in
their
applications.
First,
biological
briefly
described.
Then,
different
types
neurons,
such
transistor
memristive
discussed
detail,
focusing
on
device
structures
mechanisms.
Next,
research
progress
applications
systems
systematically
elaborated,
covering
various
types,
including
vision,
touch,
hearing,
taste,
smell.
Finally,
challenges
faced
at
both
system
levels
summarized.
ACS Applied Materials & Interfaces,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 9, 2025
In
modern
computing,
the
Von
Neumann
architecture
faces
challenges
such
as
memory
bottleneck,
hindering
efficient
processing
of
large
datasets
and
concurrent
programs.
Neuromorphic
inspired
by
brain's
architecture,
emerges
a
promising
alternative,
offering
unparalleled
computational
power
while
consuming
less
energy.
Artificial
synaptic
devices
play
crucial
role
in
this
paradigm
shift.
Various
material
systems,
from
organic
to
inorganic,
have
been
explored
for
neuromorphic
devices,
with
materials
attracting
attention
their
excellent
photoelectric
properties,
diverse
choices,
versatile
preparation
methods.
Organic
semiconductors,
particular,
offer
advantages
over
transition-metal
dichalcogenides,
including
ease
flexibility,
making
them
suitable
large-area
films.
This
review
focuses
on
emerging
artificial
based
discussing
different
branches
within
semiconductor
system,
various
fabrication
methods,
device
structure
designs,
applications
synapse.
Critical
considerations
achieving
truly
human-like
dynamic
perception
systems
semiconductors
are
also
outlined,
reflecting
ongoing
evolution
computing.
Advanced Functional Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 28, 2025
Abstract
Stringent
environmental
policies
and
sustainability
targets
are
driving
the
adoption
of
lightweight
materials
in
high‐performance
transportation
defense
sectors.
Inspired
by
nature's
unparalleled
engineering,
this
work
introduces
butterfly‐inspired
hybrid
composites
that
emulate
multifunctional
performance
natural
architectures.
Specifically,
these
reinforced
with
hierarchical
fibrous
assemblies
comprised
nano‐sized
graphene
nanoplatelets
covalently
bonded
onto
micro‐sized
glass
fibers,
emulating
architecture
butterfly
legs.
Additionally,
sandwich‐structured
designed
to
mimic
alternating
rigid
porous
layered
scales
wings,
featuring
a
foamed
composite
core
sandwiched
between
solid
skins,
leading
superior
mechanical
thermal
management
performance.
Compared
current
industrial
substitute
for
metallic
structural
components,
tailorable
achieve
improvements
up
32%,
36%,
116%
specific
tensile
strength,
flexural
impact
respectively,
as
well
66%
insulation
62%
performance,
38%
weight
reduction.
These
advancements
stem
from
detailed
structure‐property
designs,
spanning
across
multiple
length‐scales,
formulating
fundamental
understanding
how
tune
meet
stringent
requirements.
Ultimately,
cost‐effective,
industry‐ready
produce
lightweight,
components
showcase
potential
biomimicry
advancing
sustainable
engineering
solutions.
Visual
acuity
is
the
ability
of
biological
retina
to
distinguish
images.
High-sensitivity
image
acquisition
improves
quality
visual
perception,
making
images
more
recognizable
for
system.
Therefore,
developing
synaptic
phototransistors
with
enhanced
photosensitivity
crucial
high-performance
artificial
vision.
Here,
organic
(OSPs)
based
on
p–n
type
semiconductor
heterojunctions
are
presented,
which
demonstrate
improved
photoresponses
and
light
storage
characteristics.
As
many
as
800
potentiation–depression
states
can
be
obtained,
nonlinearity
extracted
from
long-term
potentiation
curve
only
0.08.
Furthermore,
by
utilizing
light-adjustable
synapse-like
behaviors,
realize
a
noise
reduction
function
logic
gate
transformation.
Benefiting
OSPs,
an
neural
network
constructed
OSPs
shows
recognition
accuracy
∼93%
both
handwritten
numbers
electrocardiography
signals.
This
research
provides
effective
path
photoelectric
performance
advance
systems.
Abstract
Various
forms
of
intelligent
light‐controlled
soft
actuators
and
robots
rely
on
advanced
material
architectures
bionic
systems
to
enable
programmable
remote
actuation
multifunctionality.
Despite
advancements,
significant
challenges
remain
in
developing
that
can
effectively
mimic
the
low‐intensity,
wide‐wavelength
light
signal
sensing
processing
functions
observed
living
organisms.
Herein,
we
report
a
design
strategy
integrates
light‐responsive
artificial
synapses
(AS)
with
liquid
crystal
networks
(LCNs)
create
LCN
(AS‐LCNs).
Remarkably,
AS‐LCNs
be
controlled
intensities
as
low
0.68
mW
cm
−2
,
value
comparable
intensity
perceivable
by
human
eye.
These
perform
sensing,
learning,
memory
within
wide
wavelength
range
from
365
nm
808
nm.
Additionally,
our
system
demonstrates
time‐related
proofs
concept
for
tachycardia
alarm
porcupine
defense
behavior
simulation.
Overall,
this
work
addresses
limitations
traditional
reception
processing,
paving
way
development
emulate
cognitive
abilities
image
In-sensor
computing
systems
based
on
optical
neuromorphic
devices
have
attracted
increasing
attention
to
improve
the
efficiency
and
accuracy
of
machine
vision
systems.
However,
most
materials
used
in
exhibit
spike
timing-dependent
plasticity
(STDP)
behavior
response
input
light
signals,
leading
complex
in-sensor
reduced
accuracy.
To
address
this
issue,
we
introduce
an
indium
gallium
tin
oxide
(IGTO)
semiconductor
designed
enhance
number-dependent
(SNDP)
signals
while
eliminating
STDP
behavior.
Here,
IGTO-based
device
shows
enhanced
SNDP
characteristics,
which
are
attributed
strong
Sn–O
bonding,
as
verified
by
photoemission
spectroscopy
(PES)
analysis.
The
consistently
reaches
same
conduction
state
after
8
pulses
regardless
pulse
timing
also
achieves
a
number
even
when
15
different
sets
applied.
These
results
characteristics
device.
Notably,
with
SNDP-enhanced
reduces
multilayer
perceptron
(MLP)
training
time
87.7%
achieving
high
classification
This
study
demonstrates
that
significant
potential
accelerate
learning
for
highly
efficient
