Researchers have developed a hybrid sperm micromotor, which can carry a payload and efficiently and controllably swim against flowing blood. Sperm-based micromotors hold several advantages, in particular their powerful propulsion generated by the beating of the sperm flagella. Sperm are also able to swim for several days with a drag force up to 100 pN. The most important feature of sperm micromotors to operate in the bloodstream is their ability to swim against flow as well as close to boundaries, where the blood velocity is lower than the average velocity, due to shear stress.
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Researchers have devised tiny cargo-carrying systems many times smaller than a human hair, made from molecules called peptides that help provide structure for cells and tissues. The team has reported advances in the nanoparticle design that allow them to control the shape of the nanoparticles to allow them to better bind to tissue in the body and stay in a particular location.
The chips of the future will include photonics and electronics; they will have a bandwidth, speed and processing and computing abilities that are currently unthinkable; they will make it possible to integrate many other components and their capabilities will increase exponentially compared to electronic chips.
Researchers have developed a tiny new machine that converts laser light into work. These optically powered machines self-assemble and could be used for nanoscale manipulation of tiny cargo for applications such as nanofluidics and particle sorting.
An engineering team has made an important breakthrough in developing the staggered structure monolayer Organic Field Effect Transistors, which sets a major cornerstone to reduce the size of OFETs.
Physicists have created a broadband detector of terahertz radiation based on graphene. The device has potential for applications in communication and next-generation information transmission systems, security and medical equipment.
Engineers create nanoparticles that deliver gene-editing tools to specific tissues and organs in mouse models.
This review article aims to examine how machine learning has revolutionized the capacity of science assessment in terms of tapping into complex constructs, improving assessment functionality, and facilitating scoring automaticity.
Scientists develop a technique that improves the resolution of cryo-electron microscopy.