Results 81 to 90 of about 7,037,676 (386)

Multimodal Balance Training Supported by Rhythmical Auditory Stimuli in Parkinson’s Disease: A Randomized Clinical Trial

open access: yesJournal of Parkinson's Disease, 2019
Background: Balance impairment in Parkinson’s disease (PD) improves only partially with dopaminergic medication. Therefore, non-pharmacological interventions such as physiotherapy are important elements in clinical management.
T. Capato   +5 more
semanticscholar   +1 more source

Rehabilitation interventions for improving balance following stroke: an overview of systematic reviews [PDF]

open access: yes, 2019
Background The aim of this study was to synthesize evidence from systematic reviews, to summarise the effects of rehabilitation interventions for improving balance in stroke survivors. Methods We conducted an overview of systematic reviews (SRs).
Arienti, Chiara   +3 more
core   +3 more sources

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

open access: yesMolecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck   +12 more
wiley   +1 more source

The Improvement of Equilibrium through Yoga Exercises [PDF]

open access: yesSport Mont, 2017
Yoga, one of the most ancient cultures of physical education, is a physical, mental and spiritual discipline and it has been made part of curricular program in Sports University of Tirana (SUT). We took the responsibility to study the equilibrium quality
Aida Bendo, Kujtim Haxholli
doaj  

Virtual reality training improves balance function

open access: yesNeural Regeneration Research, 2014
Virtual reality is a new technology that simulates a three-dimensional virtual world on a computer and enables the generation of visual, audio, and haptic feedback for the full immersion of users. Users can interact with and observe objects in three-dimensional visual space without limitation.
Mao, Yurong   +3 more
openaire   +2 more sources

Virtual reality-based balance training system augmented with operant conditioning paradigm

open access: yesBioMedical Engineering OnLine, 2019
Stroke-related sensory and motor deficits often steal away the independent mobility and balance from stroke survivors. Often, this compels the stroke survivors to rely heavily on their non-paretic leg during weight shifting to execute activities of daily
Deepesh Kumar   +3 more
semanticscholar   +1 more source

DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis

open access: yes, 2019
Training convolutional neural networks (CNNs) requires intense compute throughput and high memory bandwidth. Especially, convolution layers account for the majority of the execution time of CNN training, and GPUs are commonly used to accelerate these ...
Chatterjee, Niladrish   +4 more
core   +1 more source

Improved Noisy Student Training for Automatic Speech Recognition

open access: yes, 2020
Recently, a semi-supervised learning method known as "noisy student training" has been shown to improve image classification performance of deep networks significantly.
Chiu, Chung-Cheng   +7 more
core   +1 more source

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

open access: yesMolecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg   +43 more
wiley   +1 more source

Training dynamically balanced excitatory-inhibitory networks

open access: yesPLOS ONE, 2019
The construction of biologically plausible models of neural circuits is crucial for understanding the computational properties of the nervous system. Constructing functional networks composed of separate excitatory and inhibitory neurons obeying Dale's law presents a number of challenges.
Alessandro Ingrosso, L. F. Abbott
openaire   +5 more sources

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