International Journal of Membrane Science and Technology,
Год журнала:
2024,
Номер
10(1), С. 1813 - 1822
Опубликована: Янв. 18, 2024
Diagnosis
and
prognosis
of
heart
disease
(HD)
are
essential
medical
tasks
for
a
correct
classification,
which
helps
cardiologists
to
treat
the
patient
properly.
The
current
system
is
unable
obtain
entire
information
from
database.
It
difficult
physician
analyze
diagnose
chronic
because
it
challenging
endeavor.
Hence
this
paper
proposes
novel
weight
bias
tune
deep
multi-layer
perceptron
prediction
(WBTDMLP)
with
optimal
feature
selection
using
modified
random
forest
(MRF).
proposed
comprised
‘3’
phases
such
as
data
preprocessing,
selection,
HD
prediction.
Initially
collected
Cleveland
dataset
missing
value
imputation
normalization
applied
on
preprocess
dataset.
Following
that,
was
performed
by
MRF
algorithm.
Finally,
done
based
WBTDMLP
approach
parameters
tuned
Sobel
sequence
Brownian
walk-based
dragonfly
optimization
algorithm
(SSBRWDOA).
results
indicate
that
reaches
97.89%
accuracy,
relatively
higher
than
existing
methods.
International Journal of Membrane Science and Technology,
Год журнала:
2023,
Номер
10(3), С. 1720 - 1730
Опубликована: Сен. 1, 2023
Physical
education
is
an
indispensable
educational
content
for
cultivating
qualified
talents.
Implementing
the
concept
of
"cultivating
morality
and
talents"
in
college
physical
classrooms,
combining
skill
teaching
with
exercise,
improving
students'
cognitive
level
sports
health,
integrating
ideological
political
into
public
courses,
emphasizing
student
process
evaluation,
using
new
technological
means,
increasing
assessment
extracurricular
exercise.
Relying
on
club
activities,
Sunshine
Sports
Alliance,
team
training
competition
strengthen
construction
"second
classroom",
investigate
learning
attitude
moral
quality,
pay
attention
to
path
innovation,
use
research
mathematical
evaluation
analysis
methods,
calculate
elements
weights
cultivation
ability
education,
try
establish
structure
system
education.
International Journal of Membrane Science and Technology,
Год журнала:
2023,
Номер
10(4), С. 632 - 641
Опубликована: Сен. 28, 2023
The
objective
of
this
study
was
to
describe
quantitative
metrics
related
publications
on
the
advantages
offered
by
virtual
simulators
for
teaching-learning
students
in
subjects
Physics
and
Chemistry,
different
databases
such
as
Ebsco,
Dialnet,
Scielo,
DOAJ,
including
time
period
filter.
from
2019
2023.
In
sense,
search
carried
out
consulting
words
"Virtual
simulators",
reality",
"Exact
sciences",
"Chemistry",
"Physics",
aforementioned
databases.
Then,
studies
were
filtered
according
inclusion
criteria,
which
are
open
access
documents
subject
database
itself,
subsequent
review
literature.
At
end
review,
last
filter
performed
exclusion
leaving
9
a
final
result.
It
evidenced
that
2022
largest
number
made,
with
total
4
also
highest
peak
scientific
production.
Likewise,
it
recorded
research
is
Peru,
but
necessary
deepen
it;
However,
shows
scarce
production
Latin
America.
On
other
hand,
results
most
frequent
keywords
topic
chemistry
learning.
Finally,
concluded
there
shortage
relate
both
physics
chemistry.
Although
show
us
an
individualized
analysis
each
variable.
International Journal of Membrane Science and Technology,
Год журнала:
2023,
Номер
10(1), С. 507 - 516
Опубликована: Окт. 11, 2023
This
study
examined
the
factors
that
keep
civil-military
relations
in
equilibrium
Malawi.
A
quantitative
approach
was
used
descriptive
and
explanatory
research
designs.
The
response
variable
of
is
military
as
a
fulcrum
relations.
Eight
variables;
merit-based
promotions,
appointments,
joint
training
education
between
military,
citizenry
government
officials,
representational
recruitment,
reforms
institution,
specialisation
key
players
on
defence
matters,
professionalization
through
professional
delivery
public
goods
services
were
identified
responded
to
by
civilians,
elected
authorities,
civil
authorities
judiciary.
structured
questionnaire
survey
collect
data.
Cronbach’s
alpha
technique
test
instrument’s
reliability.
data
analysed
using
statistics
multiple
regression
SPSS
version
20.
results
revealed
all
eight
variables
have
significant
positive
impact
keeping
found
contribution
varied
influence.
Delivery
had
more
influence,
seconded
promotions
matters
being
least
influential
precondition
for
democratisation.
Further
recommended
assess
roles
International Journal of Membrane Science and Technology,
Год журнала:
2024,
Номер
10(3), С. 3469 - 3489
Опубликована: Янв. 11, 2024
Purpose:
This
study
aims
to
depict
the
productivity
and
impact
of
publications
affiliated
with
Jordan
University
Science
Technology
(JUST),
identify
bibliometric
factors
associated
number
citations.
Methods:
Using
keywords
identification
numbers,
Scopus
Web
were
searched
for
all
JUST
from
1987-2022.
The
retrieved
data
was
imported,
cleaned,
visualized,
analyzed
using
stataIC
16,
Excel
395
software,
VOSviewer
software.
analyses
conducted
types
publications,
year
type
journals,
faculties,
departments,
faculty
members,
most
cited
publications.
Networking
also
international
collaboration
keyword
analysis
VOSviewer.
Univariable
multivariable
Poisson
regression
models
estimate
several
on
citation
numbers.
Results:
A
total
16,830
published
between
1986
2022.
citations
330,046.
average
per
publication
19.6
institutional
h-index
165.
Most
original
articles
(81.8%)
71.7%
in
traditional
(non-open)
journals.
Publication
numbers
increased
steadily,
until
2013,
then
exponentially,
afterward.
?
Faculty
Engineering
had
highest
(4,593),
while
Medicine
(148,384).
Professor
Yousef
S.
Khader
ranks
first
as
JUST's
influential
faculty?
640
110,777
Factors
contributing
higher
incidence
rate
include
years
since
publication,
indexing
WoS,
reviews,
open-access
collaboration.
Network
revealed
significant
clusters
authors
keywords,
strong
connections
United
States
Saudi
Arabia.
Conclusion:
nd
have
improved
annually
faculties
departments.
?However,
this
improvement
seems
be
limited
can
explained
by
factors.
Further
improvements
research
are
needed
implementing
relevant
strategies
such
interdisciplinary
research,
publishing
high-impact
considering
publishing,
potential
societal
increasing
visibility
reputation
through
appropriate
affiliations,
review
articles,
monitoring
output
over
time.
International Journal of Membrane Science and Technology,
Год журнала:
2024,
Номер
10(1), С. 1813 - 1822
Опубликована: Янв. 18, 2024
Diagnosis
and
prognosis
of
heart
disease
(HD)
are
essential
medical
tasks
for
a
correct
classification,
which
helps
cardiologists
to
treat
the
patient
properly.
The
current
system
is
unable
obtain
entire
information
from
database.
It
difficult
physician
analyze
diagnose
chronic
because
it
challenging
endeavor.
Hence
this
paper
proposes
novel
weight
bias
tune
deep
multi-layer
perceptron
prediction
(WBTDMLP)
with
optimal
feature
selection
using
modified
random
forest
(MRF).
proposed
comprised
‘3’
phases
such
as
data
preprocessing,
selection,
HD
prediction.
Initially
collected
Cleveland
dataset
missing
value
imputation
normalization
applied
on
preprocess
dataset.
Following
that,
was
performed
by
MRF
algorithm.
Finally,
done
based
WBTDMLP
approach
parameters
tuned
Sobel
sequence
Brownian
walk-based
dragonfly
optimization
algorithm
(SSBRWDOA).
results
indicate
that
reaches
97.89%
accuracy,
relatively
higher
than
existing
methods.
