The Latest Informatics & Statistics Research Featured at Sciences Social Network

Share Article has just added the Informatics and Statistics Sciences to its Mathematics category. While the site currently contains a total of over 1,404,964 posts, these two new sections contain 65,812 articles derived partly through monitoring nearly 758 scientific journals publishing in these two research disciplines.

Mathematics @

Mathematics @

Mathematics, Informatics & Statistics @ is a Sciences Social Network newly featuring the latest Informatics and Statistics Research. The site was established in 1998 to index the very latest news, headlines, references and resources from science journals, books and websites worldwide. The site covers news in all fields of biology, business, chemistry, engineering, geography, health, mathematics and society. In the field of Mathematical Sciences, the site has now included the two new categories Informatics and Statistics. While the Informatics section covers the study of information processing and computer science, the Statistics section deals with the collection, classification, analysis, and interpretation of numerical facts or data.'s Mathematics R&D Category covers the structure, algorithms, behavior, and interactions of natural and artificial systems that store, process, access and communicate information. Its two sections include Informatics and Statistics. Users can receive alerts for newly published content in this category by subscribing to's Mathematics R&D RSS feed.'s new Informatics Research section covers the study of information processing and computer science. It currently contains 55,582 articles partly derived from 645 scientific Informatics journals. The latest articles in this category are also available through a Informatics Research RSS feed. Some of the latest additions to this section covers an overarching theory of the changeover timescales of technology transitions and induced efficiency changes, algorithms for cut problems on trees, a novel metaheuristics to solve mixed shop scheduling problems, a modified DNA computing approach to tackle the exponential solution space of the graph coloring problem, and simulation of obstruction avoidance generously mobility (OAGM) model using graph-theory technique. In the latter article the OAGM model is developed by grasping the critical situations of military and healthcare services by incorporating the node movement model, hierarchical node organization, placement of obstacle that affect the movement of nodes and also signal propagation.'s new Statistics Research section deals with the collection, classification, analysis, and interpretation of numerical facts or data. It currently contains over 9,101 articles partly derived from 113 scientific Statistics journals. The latest articles in this section are also available through a Statistics Research RSS feed. One recently included article in this section integrates influenza antigenic dynamics with molecular evolution. Since influenza viruses undergo continual antigenic evolution allowing mutantviruses to evade immunity acquired by the host population to previous virusstrains, the authors extend previous approaches to antigenic cartography, which seeks to place strains on an antigenic map, such that distances on this map best recapitulate titers observed across multiple HI assays and demonstrate a year-to-year correlation between drift and incidence and present evidence that antigenic drift mediates interference between influenza lineages. Another article in this section identifies cancer subtypes in glioblastoma by combining genomic, transcriptomic and epigenomic data. The authors identify eight distinct consensus subtypes and study their prognostic value for death, new tumor events, progression and recurrence. Other work on iterated gain-based stochastic filters for dynamic system identification featuring annealing-type iterations and the filter bank presents a novel form of nonlinear stochastic filtering employing an annealing-type iterative update scheme, aided by the introduction of an artificial diffusion parameter and based on the Gaussian sum approximations of the prior and posterior densities. The authors of this article demonstrate that the performance of the filter bank, assessed against a few carefully chosen numerical examples, provides ample evidence of its substantively improved performance in terms of filter convergence and estimation accuracy.

The Sciences Social Network currently contains over 2.15 million posts distributed among its' 75 categories. 90,325 users monitor over 15,100 journals publishing within the scope of the site. Due to an continuously improved publishing process, the delay between original publication and appearance at is now no more than 8 hours. The site provides an advanced search feature which suggests up to ten closely related articles for a search and for every displayed post.

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