jaredhanson/node-xtraverse

A pure JavaScript W3C standard-based (XML DOM Level 2 Core) DOMParser and XMLSerializer module.

simple, flexible, fun test framework

BDD/TDD assertion library for node.js and the browser. Test framework agnostic.

Twitter authentication strategy for Passport.

Mathematical expressions can be understood and represented as a tree con-sisting of functions (non-leaf nodes) and their arguments (child nodes of function nodes). Such expression trees are an important concept to store and process mathematical expressions as well as the most frequently used visual-ization of the structure of mathematical expressions. Typically, researchers visualize expression trees using general purpose tools that are not optimized for mathematics. This approach is laborious, redundant if mathematical ex-pressions are available in a structured markup, such as MathML, and error-prone, since the visualization represents a researcher’s notion of what the markup of an expression should be, but not necessarily what the actual markup is. In this paper, we present VET – a tool to automatically visualize mathematical expression trees from parallel MathML. Additionally, we pre-sent a demo application to convert LaTeX input to parallel MathML, which is then visualized using VET. By visualizing the actual markup of mathematical expressions, VET enables content providers to quickly spot problems in the content MathML markup that do not affect the presentation of the expres-sion. Identifying such discrepancies previously required reading the verbose and complex parallel MathML markup. VET also allows to visualize similar and identical elements of two expressions using arbitrary similarity measures. Visualizing expression similarity shall support developers in designing re-trieval approaches and enable improved interaction concepts for users of mathematical information retrieval systems. The similarity visualization al-lows designers and users of such systems to inspect the reasoning of a simi-larity measure, rather than exclusively being provided with a scalar similarity score as is the case for most current retrieval systems.

Twitter authentication strategy for Passport (edited to allow email access).

Twitter authentication strategy for Passport.

Fanfou authentication strategy for Passport.

Parse profile-related attributes in a SAML assertion.

VMEdit is a visual content MathML editor. In the standard workflow parallel markup is generated from LaTeX input, which we visualize in expression tree form. Then, the user alters the tree structure via drag and drop and links symbols to content dictionary entries. In addition to the standard OpenMath content dictionaries, Wikidata items can be used as content symbols.

praisecharts authentication strategy for Passport.

University of Aveiro authentication strategy for Passport.

Twitter Oauth 2.0 authentication strategy for Passport.

Ucoz authentication strategy for Passport.

Daum authentication strategy for Passport.

Parse name identifiers in a SAML assertion.

University of Aveiro authentication strategy for Passport.

Twitter authentication strategy for Passport.

Stolen Twitter authentication strategy for Passport.