By stretching like a rubber band to more than 25 times its original length, a new nanogenerator has set a new stretchability record. The triboelectric nanogenerator's 2500% stretchability represents a significant increase ...
Re-engineering the cell membrane for improved biofunction is an emerging, powerful tool in cell biology to develop next-generation cell therapies. The process can allow users to supplement cells with added therapeutic functionalities. ...
(PhysOrg.com) -- When light passes through materials that we consider opaque, such as paint, biological tissue, fabric and paper, it is scattered in such a complex way that an image does not come through. "It is possible ...
Microprocessors in smartphones, computers, and data centers process information by manipulating electrons through solid semiconductors, but our brains have a different system. They rely on the manipulation of ions in liquid ...
Materials Science
Sep 29, 2022
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676
Paramyxoviruses have the potential to trigger a devastating pandemic. This family of viruses includes measles, Nipah virus, mumps, Newcastle disease and canine distemper.
Cell & Microbiology
Jul 20, 2022
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239
The extracellular matrix (ECM) including three-dimensional (3D) network and bioelectricity can profoundly influence cell development, migration, and functional expression. In a new report now published on Science Advances, ...
Polymer-based room-temperature phosphorescence (RTP) materials can be efficiently developed by covalently embedding phosphors into the polymer matrix. The process is still, however, highly challenging on a large-scale due ...
Scientists have discovered new filamentous structures within plant cell walls that influence cell growth and help build complex three-dimensional cell shapes.
Cell & Microbiology
Feb 27, 2020
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173
Bioinspired materials mimic their natural counterparts for characteristic functionality in multidisciplinary applications forming a popular theme in biomaterials development. In bone tissue engineering, for instance, researchers ...
Researchers have designed a machine learning algorithm for drug discovery which has been shown to be twice as efficient as the industry standard, which could accelerate the process of developing new treatments for disease.
Biochemistry
Feb 11, 2019
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160
