02021nas a2200217   4500008004100000245009100041210006900132260000900201300001400210490000600224520128200230653001801512653003501530653002701565653002501592653003201617100001101649700001401660700001201674856011701686       2011                        eng d00aFroglingo, a programming language empowered by a total-recursive-equivalent data model0 aFroglingo a programming language empowered by a totalrecursiveeq  c2011  a134 - 1460 v93 aThe EP (Enterprise-Participant) data model is a language homomorphic to and semantically equivalent to a class of total recursive functions. It takes a unique position in the fields of programming languages and database management. Mathematically, it enables a programming language to achieve the greatest possible ease of use in software development and maintenance. (This assumes that a programming language incorporated with a higher expressive data model was easier than another one with a lower expressive data model, or no data model at all.) Practically, Froglingo - a programming language incorporated with the EP data model is a monolith that consolidates multiple software components of traditional software architecture. In addition, Froglingo is untyped, i.e., programmers write application programs without a necessity of user-defined types. Finally, Froglingo is a novel approach to many challenges facing traditional technologies, including feature scalability, user interface flexibility, and similarity. In this paper, we show with further clarity the concept of ease of use by proposing a mathematical definition for the concept of data models and by relating Froglingo with other programming language through the analysis of types and higher-order functions.10aEP data model10aFroglingo programming langauge10aHigher-order functions10aKnowledge management10aTotal-recursive equivalence1 aXu, K.1 aZhang, J.1 aGao, S.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-80053114137&partnerID=40&md5=1d550173b3aa984474c5a8e1930a465a01624nas a2200205   4500008004100000245007000041210006900111260000900180300001400189490000600203520094300209653003401152653002001186653002301206653002501229100001801254700001101272700001801283856011701301       2010                        eng d00aKnowledge management of 1D SDS PAGE gel protein image information0 aKnowledge management of 1D SDS PAGE gel protein image informatio  c2010  a223 - 2320 v83 aComputational management and analysis of proteomics data is providing important insights into the biological and clinical sciences. In this research study, a knowledge management strategy for 1D SDS PAGE gel protein image information has been developed and implemented in the New Vision to Protein intensity Analysis System (NeVPAS) application. This application focused on the analysis of skin mucus protein changes during a key developmental stage of Atlantic salmon (Salmo salar), the smoltification period. It includes a database to archive proteomics data. In this paper, knowledge management is expressed in terms of data acquisition, hierarchical organisation of data, knowledge retrieval by means of an information retrieval technique and knowledge presentation using text and graphics. This application of proteomics knowledge management in the marine field may also be extended to clinical analysis and environmental monitoring.10a1D SDS PAGE protein gel image10aAtlantic salmon10aGel image analysis10aKnowledge management1 aRamaswamy, G.1 aWu, B.1 aMacevilly, U.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-79960692176&partnerID=40&md5=be17770f0ee0ad9cba603f903cdd0aee