A high STST score is strongly associated with gastric cancer risk. STST can be used to evaluate an inherited characteristic of salt preference, and it is a simple index to verify the salt intake in clinic.
In this paper, a novel concept factorization (CF) method, called CF with adaptive neighbors (CFANs), is proposed. The idea of CFAN is to integrate an ANs regularization constraint into the CF decomposition. The goal of CFAN is to extract the representation space that maintains geometrical neighborhood structure of the data. Similar to the existing graph-regularized CF, CFAN builds a neighbor graph weights matrix. The key difference is that the CFAN performs dimensionality reduction and finds the neighbor graph weights matrix simultaneously. An efficient algorithm is also derived to solve the proposed problem. We apply the proposed method to the problem of document clustering on the 20 Newsgroups, Reuters-21578, and TDT2 document data sets. Our experiments demonstrate the effectiveness of the method.
The international harmonization of technology-related regulations seeks certain norms across diverse contexts. Harmonization efforts are based primarily on the promulgation of state-centered command and control forms of regulation, though they may also be accompanied by the diffusion of more plural approaches that are decentered from the state. We contrast the ways in which the "proper" use of transgenic cotton seed technologies is understood in harmonizing regulations with the way this technology is used in practice in regions of Argentina and China. We find divergence that poses challenges for both state-centered and decentered approaches to harmonization. While state-centered approaches are blind to some critical processes on the ground, decentered strategies are found wanting in situations where norms remain deeply contested amongst actors situated in very uneven power relations. In both cases, we find that establishing and securing norms that are socially just and environmentally sustainable means attending much more explicitly to the political economies in which technological practices actually take root.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.