Results 81 to 90 of about 2,113,928 (338)

Simulating dysarthric speech for training data augmentation in clinical speech applications

open access: yes, 2018
Training machine learning algorithms for speech applications requires large, labeled training data sets. This is problematic for clinical applications where obtaining such data is prohibitively expensive because of privacy concerns or lack of access.
Berisha, Visar   +3 more
core   +1 more source

Leveraging Artificial Intelligence in Research and Scholarly Work: Innovative Approaches and Practical Applications

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article explores how artificial intelligence (AI) is reshaping scholarly research and writing for faculty in higher education. As AI becomes increasingly integrated into academic workflows, it offers opportunities to enhance efficiency, exchange ideas, and foster creativity, while also raising critical questions about authorship ...
Adam L. McClain, Scott Barton
wiley   +1 more source

Pelatihan Keseimbangan dengan Penerapan Yoga pada Lansia dengan Risiko Jatuh di Panti Sosial Tresna Werdha Sabai Nan Aluih Sicincin

open access: yesWarta Pengabdian Andalas, 2020
Physical health problems that often occur in the elderly people, for instance falling down to floor. The physiological changing during the aging process increase the client's risk of falling and having an accident. Most falls occur when moving from a bed,
Gusti Sumarsih   +3 more
doaj   +1 more source

Dietary Intake and Nitrogen Balance in British Army Infantry Recruits Undergoing Basic Training [PDF]

open access: gold, 2020
Shaun Chapman   +6 more
openalex   +1 more source

An Open Pilot Study of Training Hostile Interpretation Bias to Treat Disruptive Mood Dysregulation Disorder [PDF]

open access: yes, 2016
Objective: Irritability in disruptive mood dysregulation disorder (DMDD) may be associated with a biased tendency to judge ambiguous facial expressions as angry. We conducted three experiments to explore this bias as a treatment target.
Bar-Haim, Yair   +10 more
core   +2 more sources

Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon   +12 more
wiley   +1 more source

Comparison of a proprioceptive training program on stable base and unstable base [PDF]

open access: yes, 2014
The aim is to compare two proprioceptive training programs on a stable (G1) and an unstable (G2) base in terms of balance and stability. During a 5 week period, 18 professional football players underwent a proprioceptive training program, 9 in G1 and ...
Campos Vázquez, M. A.   +4 more
core   +2 more sources

Balance Improvement by Strength Training for the Elderly

open access: yesJournal of Physical Therapy Science, 2013
[Purpose] Aging is associated with a progressive decline in overall muscle strength. Loss of lower limb strength leads to an increased risk of falls and a sedentary lifestyle. The purpose of this study was to investigate whether lower limb strengthening exercise leads to improved lower limb strength and balance function for the elderly. [Subjects] From
Lee, In-Hee, Park, Sang-young
openaire   +3 more sources

Lesion Location and Functional Connections Reveal Cognitive Impairment Networks in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini   +7 more
wiley   +1 more source

Incremental Learning of Object Detectors without Catastrophic Forgetting [PDF]

open access: yes, 2017
Despite their success for object detection, convolutional neural networks are ill-equipped for incremental learning, i.e., adapting the original model trained on a set of classes to additionally detect objects of new classes, in the absence of the ...
Alahari, Karteek   +2 more
core   +4 more sources

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