Approaches to Speech Therapy for Children with Autism Spectrum Disorders (ASD)
Mariana Нryntsiv,
Mariia Zamishchak,
Yuliia Bondarenko
и другие.
International Journal of Child Health and Nutrition,
Год журнала:
2025,
Номер
14(1), С. 32 - 45
Опубликована: Фев. 10, 2025
Background:
The
article
analyzes
methods
of
correcting
speech
disorders
in
children
with
autism
spectrum
(ASD).
It
is
based
on
a
literature
review
and
practical
cases
this
issue.
Methods:
study
used
observation
behavior,
speech,
communication
ASD,
questionnaires
from
parents,
educators,
correctional
teachers,
experimental
research
the
information
obtained.
main
correction
ASD
are
highlighted,
which
include
therapy,
alternative
augmentative
(AAC),
therapy
using
games
imitation
techniques,
use
behavioral
multisensory
approaches.
Traditional
innovative
means
for
implementing
outlined
outlined.
A
methodology
determining
effectiveness
proposed.
Results:
Criteria
indicators
evaluating
have
been
developed.
criteria
development,
development
social
skills,
reduction
stereotypical
repetitive
forms
emotional
regulation,
communication,
individual
progress.
Based
developed
criteria,
survey
was
conducted
among
specialists
disorders.
traditional
context
implementation
experimentally
tested.
above
tested
different
groups
including
preschool,
school,
adolescent
age.
In
course
test,
control
group
means,
combination
Conclusion:
positive
influence
(ASD)
language
skills
noted.
Язык: Английский
Exploring the Machine Learning-Based Decision Tree Technique in Assessing Credit Risk Likelihood of P2P Fintech Lending for Effective Marketing
Advances in business strategy and competitive advantage book series,
Год журнала:
2024,
Номер
unknown, С. 397 - 422
Опубликована: Окт. 18, 2024
Peer-to-Peer
lending
as
a
significant
alternative
finance
source
in
reducing
the
credit
gap
worldwide.
It
is
an
innovative
Fintech
business
model
that
integrates
lenders
and
borrowers
through
internet
without
interference
of
banks.
These
platforms
Non-banking
financial
institutions
(NBFCs)
perform
assessment
determine
borrower's
eligibility
to
safeguard
investors
reduce
default
risk.
The
study
aims
provide
insight
into
their
functionality
introducing
novel
concept
linking
by
exploring
decision
tree
technique
algorithm
based
on
machine
learning
for
forecasting
Additionally,
it
highlights
parameters
judging
reliability
raising
funds
such
platforms.
credibility
these
techniques
has
psychological
effect
making
effective
investment
decisions,
impact
corporate
professionals
marketing
Язык: Английский