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

