OBJECTIVE To test the null hypothesis that combining low-viscosity caries infiltrant with conventional adhesive resins would not improve sealing of sound enamel against demineralization in vitro. MATERIALS AND METHODS Bovine enamel discs (N = 60) with diameter of 3 mm were randomly assigned to six groups (n = 10). The discs were etched with 37% phosphoric acid for 30 seconds and treated with ...

Because of its high precision as a flow-insensitive pointer analysis, Andersen’s analysis has been deployed in some modern optimising compilers. To obtain improved precision, we describe how to add context sensitivity on top of Andersen’s analysis. The resulting analysis, called ICON, is efficient to analyse large programs while being sufficiently precise to drive compiler optimisations. Its no...

Once you have Acrobat Reader open on your computer, click on the Comment tab at the right of the toolbar: This will open up a panel down the right side of the document. The majority of tools you will use for annotating your proof will be in the Annotations section, pictured opposite. We've picked out some of these tools below: 1. Replace (Ins) Tool – for replacing text. Strikes a line through t...

Computational Modeling of Icon Search

1. Introduction Icon is a high-level programming language that features facilities for string and list processing. In addition to these facilities, it has expressions, called generators, that are capable of producing sequences of results. A goal-directed evaluation mechanism automatically produces the results of generators in an attempt to produce 'successful' computations. Generators and goal-...

10. Avoid long lines. Instead, continue expressions on as many lines as are needed for easy readability. See the first two issues of The Icon Analyst for the proper techniques for breaking lines. Similarly, continue long string and cset literals on several lines if that’s necessary to make them readable. See Appendix A of the second edition of The Icon Programming Language for the method of con...

This paper reports about our work in the ICON 2013 NLP TOOLS CONTEST on Named Entity Recognition. We submitted runs for Bengali, English, Hindi, Marathi, Punjabi, Tamil and Telugu. A statistical HMM (Hidden Markov Models) based model has been used to implement our system. The system has been trained and tested on the NLP TOOLS CONTEST: ICON 2013 datasets. Our system obtains F-measures of 0.8599...

This paper reports about our work in the ICON 2009 NLP TOOLS CONTEST: Parsing. We submitted two runs for Bengali. A statistical CRF based model followed by a rule-based post-processing technique has been used. The system has been trained on the NLP TOOLS CONTEST: ICON 2009 datasets. The system demonstrated an unlabeled attachment score (UAS) of 74.09%, labeled attachment score (LAS) of 53.90% a...

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