Results 121 to 130 of about 73,959 (252)
Proceedings of the 5th International Brain-Computer Interface Conference 2011
Gernot Müller-Putz
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This work pioneers melt electrowriting (MEW) of polyethylene vinyl acetate (PEVA) to fabricate ultra‐compliant, high‐resolution scaffolds. By integrating microscale precision with soft tissue‐like biomechanics, PEVA overcomes stiffness‐driven limitations of conventional MEW polymers, establishing a mechanically biomimetic platform for soft tissue ...
Finn Snow +9 more
wiley +1 more source
Comparing machine learning approaches for motor-activity-related brain computer interfaces
Lei Wang, Hasan Ayaz
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Arts and Brain-Computer Interfaces (BCIs) [PDF]
Anton Nijholt, Chang S. Nam
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This research shows the development of hydrogels with Diels‐Alder click chemistry for engineering cartilage‐like tissue. The hydrogels support cartilage spheroids which could be cultured for at least 28 days. Furthermore, the spheroids showed a tendency to fuse together into a more consistent construct, and produced important components needed for ...
Sanne M. van de Looij +8 more
wiley +1 more source
This review explores how alternative invertebrate and small‐vertebrate models advance the evaluation of nanomaterials across medicine and environmental science. By bridging cellular and organismal levels, these models enable integrated assessment of toxicity, biodistribution, and therapeutic performance.
Marie Celine Lefevre +3 more
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Research on the Development and Application of Brain-Computer Interface [PDF]
Z. Morley Mao
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Deployable medical devices typically need external stimuli to trigger deployment. However, external stimuli are difficult to supply within tissues. Here, we describe a strategy to deploy small‐scale structures into soft tissues after insertion without the need for any stimulus. We demonstrate deployment within a tissue phantom.
Yeh‐Chia Tseng +13 more
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Bayesian machine learning applied in a brain-computer interface for disabled users
Ulrich Hoffmann
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Interface transmigration reprograms triple‐negative breast cancer cells, triggering a shared switch toward more aggressive and invasive phenotypes. Using a collagen I interface model, this study identifies shared transcriptional changes involving proliferation, chromatin remodeling, and DNA repair pathways.
Cornelia Clemens +3 more
wiley +1 more source

