Modelling the Behavior of Human Crowds as Coupled Active-passive Dynamics of Interacting Particle Systems
Methodology And Computing In Applied Probability,
Journal Year:
2025,
Volume and Issue:
27(1)
Published: Feb. 17, 2025
Language: Английский
Achieving Human-Inspired Drift Diffusion Consensus in Swarm Robotics
Lecture notes in computer science,
Journal Year:
2024,
Volume and Issue:
unknown, P. 29 - 41
Published: Jan. 1, 2024
Language: Английский
Behavioral Human Crowds and Society
Modeling and simulation in science, engineering & technology,
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 8
Published: Jan. 1, 2023
This
chapter
provides
an
introduction
to
the
contents
of
this
edited
volume.
In
keeping
with
style
previous
volumes,
we
also
consider
research
perspectives.
The
first
part
contributes
selection
some
key
perspectives
that
take
into
account
not
only
technical
interest
modeling
and
simulation,
but
impact
activity
can
have
on
well-being
society.
second
a
brief
chapters
follow
editorial
introduction.
refer
both
aforementioned
topics
preceding
volumes
(Bellomo
Gibelli,
Behavioural
human
crowds,
recent
results
towards
new
frontiers.
In:
Bellomo,
Gibelli
(eds)
Crowd
dynamics,
Volume
3
-
Modeling
social
applications
in
time
COVID
19.
Birkhäuser,
New
York,
pp
1–9,
2021;
Bellomo
et
al.,
crowds.
(ed)
2
Theory,
models,
applications.
1–10,
2020;
Behavioral
1
safety
problems.
1–14,
2018).
Language: Английский
Coupled Spatio-Temporal Dynamics and Nonlocality in Advanced Mathematical Models for the Analysis of Complex Neurodegenerative Disease Pathologies
Published: Jan. 1, 2023
One
in
six
of
the
world’s
population
has
to
deal
with
neurodegenerative
disorders,
and
while
medical
devices
exist
detect,
prevent,
treat
such
some
fundamentals
progression
associated
diseases
remain
ambiguous.
In
this
contribution,
we
focus
on
Alzheimer’s
disease
(AD),
where
amyloid-beta
(Aβ)
tau
proteins
are
among
main
contributors
development
or
propagation
AD.
The
Aβ
clump
together
form
plaques
disrupt
cell
functions.
Moreover,
abnormal
chemical
change
brain
helps
build
sticky
tangles
that
block
neuron’s
transport
system.
Astrocytes
generally
maintain
a
healthy
balance
by
clearing
toxic
plaques.
Even
so,
over-activated
astrocytes
release
chemokines
cytokines
also
react
pro-inflammatory
cytokines,
further
increasing
production
Aβ.
We
have
provided
details
novel
coupled
mathematical
model
can
capture
astrocytes’
dual
behaviour,
emphasizing
importance
spatio-temporal
coupling
nonlocality.
demonstrated
depends
memory
effects,
is
disease’s
earlier
status,
which
involves
non-Markovian
processes.
explained
how
integrate
connectome
data
network
study
effect,
as
well
role
phenomenon.
Depending
loads
brain,
discussed
analysis
neuronal
damage
brain.
effect
slow
down
decreasing
rate
damage.
Representative
numerical
examples
been
given,
special
attention
paid
nonequilibrium
considerations
stochastic
modelling
frameworks
diseases.
Language: Английский