Revista de Gestão Social e Ambiental,
Journal Year:
2024,
Volume and Issue:
18(11), P. e09560 - e09560
Published: Nov. 18, 2024
Objetivo:
Esta
pesquisa
buscou
disseminar
a
intersecção
entre
manutenção
de
aeronaves
e
princípios
neuroergonômicos
como
um
avanço
bem-sucedido
na
busca
por
maior
segurança,
eficiência
bem-estar
da
força
trabalho.
Referencial
Teórico:
As
condições
físicas
cognitivas
humanas
uma
perspectiva
neuroergonômica
combinadas
com
atividades
representam
abordagem
inovadora
que
visa
melhorar
segurança
nas
operações
diversas
manutenção.
É
necessária
extrema
atenção
o
erro
humano
não
é
tolerado.
Método:
A
metodologia
utilizou
literatura
recente
publicações
técnicas
relacionadas
ao
tema,
os
principais
módulos
técnicos
bibliotecas
linguagem
aeronáutica.
Resultados
Discussão:
Os
resultados
obtidos
destacam
neuroergonomia,
analisar
fatores
cognitivos
emocionais
sobre
desempenho
humano,
melhora
as
práticas
manutenção,
reduzindo
erros
aumentando
eficácia
ambiente
mais
seguro
saudável
para
envolvidos.
Implicações
pesquisa:
implicações
teóricas
desta
mostram
combinação
em
pode
minimizar
riscos
inerentes
à
sua
execução.
Originalidade/Valor:
Este
estudo
contribuiu
visam
respeitar
limites
físicos
trabalho
atingir
zero
conformidades
International Transactions in Operational Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 31, 2024
Abstract
Artificial
intelligence
(AI)
as
a
disruptive
technology
is
not
new.
However,
its
recent
evolution,
engineered
by
technological
transformation,
big
data
analytics,
and
quantum
computing,
produces
conversational
generative
AI
(CGAI/GenAI)
human‐like
chatbots
that
disrupt
conventional
operations
methods
in
different
fields.
This
study
investigates
the
scientific
landscape
of
CGAI
human–chatbot
interaction/collaboration
evaluates
use
cases,
benefits,
challenges,
policy
implications
for
multidisciplinary
education
allied
industry
operations.
The
publications
trend
showed
just
4%
(
n
=
75)
occurred
during
2006–2018,
while
2019–2023
experienced
astronomical
growth
1763
or
96%).
prominent
cases
(e.g.,
ChatGPT)
teaching,
learning,
research
activities
computer
science
(multidisciplinary
AI;
32%),
medical/healthcare
(17%),
engineering
(7%),
business
fields
(6%).
intellectual
structure
shows
strong
collaboration
among
eminent
sources
business,
information
systems,
other
areas.
thematic
highlights
including
improved
user
experience
human–computer
interaction,
programs/code
generation,
systems
creation.
Widespread
usefulness
teachers,
researchers,
learners
includes
syllabi/course
content
testing
aids,
academic
writing.
concerns
about
abuse
misuse
(plagiarism,
integrity,
privacy
violations)
issues
misinformation,
danger
self‐diagnoses,
patient
applications
are
prominent.
Formulating
strategies
policies
to
address
potential
challenges
teaching/learning
practice
priorities.
Developing
discipline‐based
automatic
detection
GenAI
contents
check
proposed.
In
operational/operations
areas,
proper
CGAI/GenAI
integration
with
modeling
decision
support
requires
further
studies.
Informatics,
Journal Year:
2024,
Volume and Issue:
11(3), P. 53 - 53
Published: July 23, 2024
This
pioneering
study
evaluates
the
digital
divide
and
advances
in
virtual
education
(VE)
e-learning
research
Global
South
Countries
(GSCs).
Using
metadata
from
bibliographic
World
Bank
data
on
development
(R&D),
we
conduct
quantitative
bibliometric
performance
analyses
evaluate
connection
between
R&D
expenditures
VE/e-learning
GSCs.
The
results
show
that
‘East
Asia
Pacific’
(EAP)
spent
significantly
more
(R&D)
achieved
highest
scientific
literature
publication
(SLP),
with
significant
impacts.
Other
GSCs’
expenditure
was
flat
until
2020
(during
COVID-19),
when
funding
increased,
achieving
a
corresponding
42%
rise
SLPs.
About
67%
of
‘Arab
States’
(AS)
SLPs
60%
citation
impact
came
produced
global
north
other
GSCs
regions,
indicating
high
dependence.
Also,
51%
high-impact
were
‘Multiple
Country
Publications’,
mainly
non-GSC
institutions,
collaboration
impact.
EAP,
AS,
‘South
Asia’
(SA)
regions
experienced
lower
disparity.
In
contrast,
less
developed
countries
(LDCs),
including
‘Sub-Sahara
Africa’,
‘Latin
America
Caribbean’,
‘Europe
(Eastern)
Central
Asia’,
showed
few
dominant
higher
divides.
We
advocate
for
increased
educational
to
enhance
innovative
GSCs,
especially
LDCs.
Journal on Interactive Systems,
Journal Year:
2025,
Volume and Issue:
16(1), P. 288 - 301
Published: April 9, 2025
A
virtual-reality-based
serious
game
to
inspect
and
train
a
wheel
loader
is
proposed
in
this
paper.
The
developed
using
cross-platform
engine
it
integrated
into
various
virtual
reality
(VR)
headsets.
was
conducted
under
inspection
training
procedures
on
the
of
mining
company
with
elements
engage
field
workers.
results
reached
demonstrated
benefits
use
such
implemented
technology.
In
addition,
16
workers
assessed
completed
survey.
survey
suggest
that
system
can
be
used
for
staff
before
handling
real
company.
findings
implementation
improves
process,
reduces
expenses,
safety.
favors
development
technical
skills
required
real-world
procedures.
VR
as
tool
prepares
operating
loader.
expanded
include
procedures,
maintenance
procedure
tamping
machine.
Journal of theoretical and applied electronic commerce research,
Journal Year:
2024,
Volume and Issue:
19(2), P. 1358 - 1391
Published: June 3, 2024
The
advent
of
3D
virtual
presentation
technology
for
clothing
has
led
to
the
gradual
popularisation
digital
in
modern
fashion
industry.
However,
there
remains
a
gap
between
application
this
and
integration
cultural
attributes
field
communication
traditional
clothing.
Consequently,
objective
paper
is
propose
establishment
fusion
system
integrating
archaeological
research
on
culture
with
emerging
technology.
This
draws
inspiration
from
replicability
easy
dissemination
products
combine
archaeology
aim
provide
ideas
diversity
heritage.
object
Diplomatic
Envoys,
Chinese
mural
painting
Tang
Dynasty
that
depicts
friendly
exchanges
countries.
divided
into
two
stages.
A
CLO3D
software-based
restoration
test
was
conducted
reproduce
costumes
officials
foreign
envoys
depicted
mural.
FAHP
model
employed
verify
accuracy
results.
experiment
demonstrated
digitally
reconstructed
exhibited
high
degree
similarity
unearthed
figure
object.
Furthermore,
result
passed
credibility
verification,
resulting
‘credible’
outcome.
simulation
methods
offers
key
advantages.
Firstly,
comparison
methods,
enables
rapid
assessment
effect,
thereby
reducing
likelihood
secondary
damage
relics
due
manual
errors.
Secondly,
benefits
facilitate
convenient
storage,
replication,
data
information.
Data
can
not
only
be
extended
online
exhibition
halls
but
also
game
animation,
production,
other
fields
purposes
creative
redesign
information
dissemination.
these
penetrate
education
industry
disseminate
public
through
all-round
display
models
explanations.
Safety,
Journal Year:
2024,
Volume and Issue:
10(3), P. 61 - 61
Published: July 8, 2024
The
occupational
health
and
safety
of
agricultural
workers
is
a
topic
that
has
direct
impact
on
the
sector
worldwide.
For
this
reason,
investigations
into
ergonomic
factors
are
relevant
to
workers.
In
study,
nine
variables
physical–ergonomic
dimension
were
analyzed
determine
which
represent
risks
for
in
Mayo
Valley,
Mexico.
A
sample
200
people
was
considered.
separated
by
gender
divided
groups
according
age.
closed-ended
survey
developed
validated
assess
physical
ergonomics
using
five-level
Likert
scale.
Using
Principal
Component
Analysis,
it
found
there
affect
male
more
than
female
(the
risk
carrying
heavy
objects,
PE3,
performing
repetitive
movements,
PE4).
It
also
certain
not
perceived
as
hazardous
inappropriate
materials,
PE9).
addition,
various
research
findings
discussed
implications
recommendations
improving
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(16), P. 6957 - 6957
Published: Aug. 8, 2024
One
of
the
goals
Industry
4.0
is
to
increase
transparency
value
chain
through
modern
tools
in
production
processes.
This
article
aims
discuss
possibility
increasing
efficiency
a
system
by
modernizing
it
with
use
computer
modelling
tools.
describes
method
for
simulation
selected
using
specialized
FlexSim
2023
software
3D
environment.
The
results
and
benefits
practical
application
object-oriented
are
presented,
as
well
possibilities
collecting
data
used
optimize
analyses
were
conducted
at
plant
case
study.
research
assessed
effectiveness
existing
determined
impact
process
changes
event
introduction
new
design
solution.
identified
bottlenecks
material
flow.
basis
creating
model
was
analysis
technological
process.
A
real
situation
created,
designed
identify
indicate
solution
eliminate
detection
bottleneck.
problem
area
visualization
slowed
down
entire
contributed
time
economic
losses.
Thus,
authors
confirmed
thesis
that
systems
program
can
help
human
resource
use.
At
same
time,
this
tool
lead
increased
efficiency,
reduced
costs
improved
sustainability
other
performance
indicators
important
environments
part
promoted
idea.
noticeable
result
these
an
from
about
80–90
units.
In
addition,
noticed
condition
machines
preceding
stand
changed.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Nov. 30, 2024
Digital
twins
(DTs)
are
an
emerging
capability
in
additive
manufacturing
(AM),
set
to
revolutionize
design
optimization,
inspection,
situ
monitoring,
and
root
cause
analysis.
AM
DTs
typically
incorporate
multimodal
data
streams,
ranging
from
machine
toolpaths
in-process
imaging
X-ray
CT
scans
performance
metrics.
Despite
the
evolution
of
DT
platforms,
challenges
remain
effectively
inspecting
them
for
actionable
insights,
either
individually
or
a
multidisciplinary,
geographically
distributed
team
setting.
Quality
assurance,
departments,
pilot
labs,
plant
operations
must
collaborate
closely
reliably
produce
parts
at
scale.
This
is
particularly
crucial
where
complex
structures
require
collaborative
multidisciplinary
approach.
Additionally,
large-scale
originating
different
modalities
their
inherent
3D
nature
pose
significant
hurdles
traditional
2D
desktop-based
inspection
methods.
To
address
these
increase
value
proposition
DTs,
we
introduce
novel
virtual
reality
(VR)
framework
facilitate
real-time
AM.
includes
advanced
features
intuitive
alignment
visualization
data,
visual
occlusion
management,
streaming
volumetric
tools,
substantially
improving
components
processes
fully
exploit
potential
The
development
of
one
technology
can
be
portrayed
by
common
methods
like
Gartner’s
hype
cycle
or
S-curve,
however,
there
is
no
method
to
characterize
the
feature
distributions
multiple
technologies
within
a
specific
domain.
This
study
proposes
big
data-based
in
terms
four
proposed
features,
namely
versatility,
significance,
commerciality,
and
disruptiveness,
given
features
are
quantitively
using
representative
keywords
volumes
returned
search
results
from
Google
Scholar
two-dimensional
analytical
spaces
technique
application.
We
demonstrate
applicability
this
452
domain
intelligent
robotics.
our
assessment
indicate
that
versatility
values
normally
distributed,
while
disruptiveness
follow
power-law
distributions,
which
few
possess
higher
values.
also
show
significant
more
likely
commercialized
causing
potential
disruption,
as
such
have
scores
these
features.
Further,
we
validly
prove
robustness
approach
via
comparing
historical
trends
with
literature
characterizing
reduced
spaces.
Our
widely
applied
analyzing
different
domains,
it
potentially
exploited
decisions
investment,
trade,
science
policy.