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Strain glass state in Ni-rich Ni-Ti-Zr shape memory alloys

https://doi.org/10.1016/j.actamat.2021.117232

Xu, S. ; Pons, J. ; Santamarta, R. ; Karaman, I. ; Benafan, O. ; Noebe, R.D. ( October 2021 , Acta Materialia)
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Protoneutron Star Cooling with Convection: The Effect of the Symmetry Energy

https://doi.org/10.1103/PhysRevLett.108.061103

Roberts, L. F. ; Shen, G. ; Cirigliano, V. ; Pons, J. A. ; Reddy, S. ; Woosley, S. E. ( February 2012 , Physical Review Letters)
Expansion of the Gene Ontology knowledgebase and resources

https://doi.org/10.1093/nar/gkw1108

Carbon, S. ; Dietze, H. ; Lewis, S.E. ; Mungall, C.J. ; Munoz-Torres, M.C. ; Basu, S. ; Chisholm, R.L. ; Dodson, R.J. ; Fey, P. ; Thomas, P.D. ; et al ( January 2017 , Nucleic Acids Research)

The Gene Ontology (GO) is a comprehensive resource of computable knowledge regarding the functions of genes and gene products. As such, it is extensively used by the biomedical research community for the analysis of -omics and related data. Our continued focus is on improving the quality and utility of the GO resources, and we welcome and encourage input from researchers in all areas of biology. In this update, we summarize the current contents of the GO knowledgebase, and present several new features and improvements that have been made to the ontology, the annotations and the tools. Among the highlights are 1) developments that facilitate access to, and application of, the GO knowledgebase, and 2) extensions to the resource as well as increasing support for descriptions of causal models of biological systems and network biology. To learn more, visit http://geneontology.org/.
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