In
order
to
increase
the
efficiency
with
which
wireless
sensor
networks
utilise
their
power,
authors
of
this
research
suggest
a
protocol
called
Multiuser
Multi
Service
Scheduling
Protocol
(MMSSP).
The
emphasis
is
on
interdependencies
between
PHY,
MAC,
and
NET
levels
communication
stack.
Cross-layer
models
are
built
examine
impact
layers
energy
efficiency,
important
properties
these
considered
in
analysis.
recommended
strategies
aim
without
necessitating
major
shifts
from
status
quo
terms
standards
practices.
This
study
offers
fresh
approaches
use
an
effort
solve
problems.
By
analyzing
prior
research,
we
know
that
increasing
lifespan
requires
designing
protocols
low
power
requirements.
To
address
issue
consumption,
it
necessary
complete,
cross-layered
scheme
solutions,
since
energy-consuming
components
dispersed
throughout
Artificial Intelligence Chemistry,
Journal Year:
2024,
Volume and Issue:
2(2), P. 100073 - 100073
Published: July 10, 2024
In
this
investigation,
a
quantitative
structure-property
relationship
(QSPR)
model
coupled
with
quantum
neural
network
(QNN)
was
used
to
explore
the
corrosion
inhibition
efficiency
(CIE)
of
quinoxaline
compounds.
Integrating
chemical
properties
(QCP)
features
reduced
computational
burden
by
strategically
reducing
from
11
4
while
maintaining
prediction
accuracy.
QNN
models
outperform
traditional
methods
like
artificial
networks
(ANN)
and
multilayer
perceptron
(MLPNN),
coefficient
determination
(R2)
value
0.987,
diminished
root
mean
square
error
(RMSE),
absolute
(MAE),
deviation
(MAD)
values
0.97,
0.92,
1.10,
respectively.
Predictions
for
six
newly
synthesized
derivatives:
quinoxaline-6-carboxylic
acid
(Q1),
methyl
quinoxaline-6-carboxylate
(Q2),
(2E,3E)-2,3-dihydrazono-1,2,3,4-tetrahydroquinoxaline
(Q3),
(2E,3E)
2,3-dihydrazono-6-methyl-1,2,3,4-tetrahydroquinoxaline
(Q4),
(E)-3-(4-methoxyethyl)-7-methylquinoxalin-2(1
H)-one
(Q5),
2-(4-methoxyphenyl)-7-methylthieno[3,2-b]
(Q6),
show
remarkable
CIE
95.12,
96.72,
91.02,
92.43,
89.58,
93.63
%,
This
breakthrough
technique
simplifies
testing
production
procedures
new
anti-corrosion
materials.
Quantum Reports,
Journal Year:
2025,
Volume and Issue:
7(1), P. 9 - 9
Published: Feb. 18, 2025
Quantum
core
technologies
(computing,
sensing,
imaging,
communication)
hold
immense
promise
for
revolutionizing
cancer
care.
This
paper
explores
their
distinct
capabilities
in
early-stage
diagnosis,
improved
clinical
workflows,
drug
discovery,
and
personalized
treatment.
By
overcoming
challenges
such
as
infrastructure
ethical
considerations,
these
processes
can
unlock
faster
diagnoses,
optimize
therapies,
enhance
patient
outcomes.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 14, 2024
Abstract
In
the
era
of
rapid
advancements
in
quantum
computing,
classical
cryptographic
primitives
are
facing
unprecedented
security
challenges.
Shor's
algorithm,
a
powerful
tool,
poses
significant
threat
to
existing
hash
functions,
raising
concerns
about
data
integrity
and
confidentiality.
response
these
emerging
threats,
paper
introduces
novel
Quantum-Resistant
Hash
Algorithm
(QRHA)
named
'Modular
Learning
(MHLA).'
MHLA
has
been
meticulously
designed
with
strong
focus
on
fundamental
principles
resistance
incorporates
advanced
mathematical
algorithmic
techniques
enhance
its
security.
This
presents
comprehensive
examination
MHLA's
both
attacks,
particular
emphasis
algorithm.
Our
research
demonstrates
that
offers
improved
context
era,
ensuring
confidentiality
integrity.
Moreover,
boasts
an
efficient
complexity
time
$O(m
\cdot
n
k)$
for
matrix-vector
product.
contributes
ongoing
efforts
fortify
systems
against
evolving
landscape
computing.
