AI‐Enabled Adaptive Eutectogel Skin for Effective Motion Monitoring with Low Signal Artifacts
Yexi Jin,
No information about this author
Ruolin Wang,
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Dingkang Tang
No information about this author
et al.
Advanced Functional Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 16, 2025
Abstract
Interfacial
gel
compliance
is
essential
for
the
stable
monitoring
of
physiological
electrical
signals.
Current
materials
often
fail
to
maintain
operation
at
skin
interface,
which
subject
constant
change,
due
an
inadequate
balance
viscoelastic
properties.
In
this
study,
a
dynamic
adaptive
network
involving
metal
coordination
with
hierarchical
hydrogen
bonding
developed.
The
multilayered
supramolecular
structure
has
enabled
polymer
chains
generate
new
physical
entanglements
upon
dissociation.
This
cross‐linking
allows
eutectogel
sustain
viscosity
and
elasticity
across
broad
frequency
range
(10
−7
–340
Hz).
Furthermore,
metal‐based
exhibits
enhanced
stretchability
(1800%),
good
conductivity
(125
mS
m
−1
),
wide
operating
temperature
(−70–100
°C),
strong
interfacial
adhesion.
offers
superior
stability
in
acquisition
signals
when
compared
standard
commercial
gels.
Viable
application
resultant
strain
sensors
demonstrated
human–machine
interaction
(HMI)
virtual
reality
(VR)
haptic
interaction.
addition,
convolutional
neural
(CNN)
algorithm
employed
develop
intelligent
system
evaluating
motion
states
using
surface
electromyography
(sEMG)
signals,
achieving
accuracy
94.1%.
Language: Английский
Integrated Ultrasound‐Enrichment and Machine Learning in Colorimetric Lateral Flow Assay for Accurate and Sensitive Clinical Alzheimer's Biomarker Diagnosis
Shu‐Qing Wang,
No information about this author
Yan Zhu,
No information about this author
Zhongzeng Zhou
No information about this author
et al.
Advanced Science,
Journal Year:
2024,
Volume and Issue:
11(42)
Published: Sept. 19, 2024
Abstract
The
colloidal
gold
nanoparticle
(AuNP)‐based
colorimetric
lateral
flow
assay
(LFA)
is
one
of
the
most
promising
analytical
tools
for
point‐of‐care
disease
diagnosis.
However,
low
sensitivity
and
insufficient
accuracy
still
limit
its
clinical
application.
In
this
work,
a
machine
learning
(ML)‐optimized
LFA
with
ultrasound
enrichment
developed
to
achieve
sensitive
accurate
detection
tau
proteins
early
screening
Alzheimer's
(AD).
device
integrated
portable
ultrasonic
actuator
rapidly
enrich
microparticles
using
ultrasound,
which
essential
sample
pre‐enrichment
improve
sensitivity,
followed
by
ML
algorithms
classify
predict
enhanced
signals.
results
undiluted
serum
testing
show
that
protocol
enables
efficient
classification
quantification
AD
biomarker
protein
concentration
an
average
98.11%
prediction
99.99%,
achieving
(LOD)
as
10.30
pg
mL
−1
.
Further
(POCT)
human
plasma
samples
demonstrates
potential
use
in
trials.
Such
reliable
immunosensor
high
precision
superb
sensing
performance
expected
put
perspective
diagnostic
platform.
Language: Английский
Translational lessons from the balanced immune system in bats
Disease Models & Mechanisms,
Journal Year:
2025,
Volume and Issue:
18(9)
Published: Feb. 19, 2025
ABSTRACT
Bats
are
a
natural
reservoir
for
wide
variety
of
notorious
viruses
that
deadly
to
humans
and
other
mammals
but
cause
no
or
minimal
clinical
damage
in
bats.
The
co-evolution
bats
more
than
sixty
million
years
has
established
unique
balanced
immune
defenses
within
against
number
viruses.
With
the
COVID-19
pandemic,
have
gained
greater
attention
as
likely
SARS-CoV-2
ancestor
virus.
coupling
omics
technology
bat
research
opens
an
exciting
new
field
understand
translate
discoveries
from
humans,
context
infectious
disease
beyond.
Here,
we
focus
on
mechanism
immunity
balance
bats,
application
how
this
might
lead
improvement
human
health.
Language: Английский
2024 ASHG Scientific Achievement Award
The American Journal of Human Genetics,
Journal Year:
2025,
Volume and Issue:
112(3), P. 473 - 477
Published: March 1, 2025
Language: Английский
Interfacial Charge Transfer and Defect Engineering in the MoTe2/Graphene Heterostructure for Tailored Carrier Kinetics and Nonlinear Absorption
Jiawen Lv,
No information about this author
Xingyun Luo,
No information about this author
Junting Liu
No information about this author
et al.
Advanced Functional Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 24, 2025
Abstract
The
MoTe
2
and
graphene
heterostructure
exhibits
significant
potential
for
ultrafast
photonic
switching
owing
to
their
carrier
dynamics,
superior
nonlinear
saturable
absorption
(SA)
properties,
scalable
synthesis.
Interfacial
charge
transfer
(CT)
in
conjunction
with
material
thickness
modulation,
plays
a
critical
role
governing
dynamics
SA
properties.
However,
the
underlying
physical
mechanisms
remain
largely
unexplored.
Here,
femtosecond
transient
spectroscopy
density
functional
theory
(DFT)
calculations
are
employed
elucidate
that
CT
from
nanoplates
effectively
mitigates
hot‐phonon
bottleneck
effect
nanoplates,
leading
accelerated
recombination
enhanced
coefficient,
increased
−625
−1129
cm
GW
−1
.
Moreover,
thinner
exhibit
lower
non‐saturable
losses,
quantified
as
1.7%
three‐layer
structures
compared
4%
fourteen‐layer
counterparts,
attributed
higher
defect
thicker
layers,
which
induces
scattering
losses.
Transmission
electron
microscopy
analysis
DFT
confirm
an
elevated
of
Mo
vacancies
samples.
These
findings
provide
key
insights
into
defect‐mediated
optical
aiding
design
high‐performance
switches.
Language: Английский
Convergent and lineage-specific genomic changes contribute to adaptations in sugar-consuming birds
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 1, 2024
Although
high-sugar
diets
are
associated
with
metabolic
diseases
in
humans,
several
bird
lineages
have
independently
evolved
to
primarily
subsist
on
simple
sugars
from
flower
nectar
or
fruits.
In
this
study,
we
address
a
key
question
of
the
repeatability
molecular
evolution
by
investigating
convergent
and
lineage-specific
mechanisms
underlying
dietary
adaptations
four
major
sugar-consuming
lineages:
hummingbirds,
parrots,
honeyeaters,
sunbirds.
We
assembled
nine
new
genomes
for
species
their
closely
related
non-sugar
feeding
outgroup
generated
90
tissue-specific
transcriptomes
six
species.
identified
signatures
positive
selection
both
protein-coding
non-coding
regulatory
sequences,
found
targets
same
genes
more
frequently
sugar-feeders
compared
controls,
suggesting
that
adapting
diet
requires
changes
limited
number
genetic
elements.
At
functional
level,
pathways
energy
homeostasis,
carbohydrate
metabolism,
heart
function,
hormonal
regulation
showed
signals
evolution,
while
lipid
amino
acid
metabolism
demonstrated
mostly
evolution.
Notably,
observed
striking
evidence
adaptation
MLXIPL,
transcription
factor
regulating
sugar
manifesting
sequence
across
all
sugar-feeders.
With
assays,
hummingbird
MLXIPL
enhances
sugar-induced
transcriptional
activity
HEK239
cells,
its
central
role
diets.
Our
findings
elucidate
main
genomic
sugar-feeding
at
pathway
levels.
Language: Английский