An artificial intelligence / machine learning based approach can be used to rapidly analyze COVID-19 literature and evaluate whether the research being produced at present addresses existing knowledge gaps. We observe that COVID-19 research has been primarily clinical-, modeling-, or field-based, and we observe significantly less laboratory-based research than expected when compared against other…
Earth Sciences, Palaeontology, Evolutionary History, Palaeobiology
A collection of papers addressing fundamental mechanisms regulating the progression of the mammalian embryo through pre- and post-implantation stages.
Organic soft magnets are developed from polymer networks containing nitroxide radical functional groups. These macromolecular polymer networks are designed to fabricate metal-free, soft organic magnets…
Physics; Applied physics; Materials application
This study describes a hybrid strategy for bottom-up synthesizing graphene nanoribbons (GNRs) that provides exquisite control over the length, width, and functional end groups. The…
This study presents the investigation of the diverse transcriptional patterns of lncRNAs and their associated gene networks on the basis of a comprehensive cell atlas…
Stem cell-based embryo models provide a useful system for studying early embryonic development. Li and colleagues reported the generation of cynomolgus monkey blastoids with similar…
Efficient recycling of spent Li-ion batteries is critical for sustainability, especially with the increasing electrification of industry. This can be achieved by reducing costly, time-consuming,…
Ke and co-workers have designed a crystalline-domain-reinforced double-threaded slide-ring network to surpass the elasticity-toughness trade-off in conventional slide-ring gels. They employ 3D-printable modular crosslinkers that…
