Celastrol is an active compound from the root of Tripterygium wilfordii Hook F that shows great potential in the treatment of inflammation, cancer, neurodegeneration, diabetes, and obesity. However, ...
Patients who suffer from a disability or face temporary walking difficulty due to accidents or medical conditions have to go through rehabilitation treatment, which requires them to use an orthotic ...
Chronic diseases are a leading cause of disability and mortality worldwide, significantly impacting individuals’ quality of life and posing substantial challenges to healthcare systems (World Health ...
Despite being widely used in biological research, spontaneous Raman microspectrometry has been limited to imaging stationary specimens or slow processes due to its limited pixel throughput. We ...
Assistive technology (AT) can support the employment of people with disabilities (PwDs). This study aimed to investigate the impact of AT on the employability of PwDs and determine the barriers ...
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
Note: *P < 0.05, **P < 0.01. Abbreviations: CI, confidence interval; OR, odds ratio. The results of our study indicate that role emotion is a significant predictor of ASD. This result is in line with ...
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
The ultimate accuracy of percutaneous needle aspiration and core biopsies is directly related to localization of pathology and of the needle tip. Localization methods currently in use include ...
Physics-informed neural networks (PINNs) incorporate physical laws into their training to efficiently solve partial differential equations (PDEs) with minimal data. However, PINNs fail to guarantee ...