S
Sergio Orefice
Researcher at University of L'Aquila
Publications - 42
Citations - 658
Sergio Orefice is an academic researcher from University of L'Aquila. The author has contributed to research in topics: Breast cancer & Visual programming language. The author has an hindex of 12, co-authored 41 publications receiving 644 citations. Previous affiliations of Sergio Orefice include University of Salerno.
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Automatic generation of visual programming environments
TL;DR: The visual language compiler-compiler (VLCC) system to automatically generate visual programming environments is developed, a grammar based system that can support implementation of any visual language by assisting the language designer in defining the language's graphical objects, syntax, and semantics.
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A Classification Framework to Support the Design of Visual Languages
TL;DR: A formal framework of visual language classes is presented, each class characterizes a family of visual languages based upon the nature of their graphical objects and composition rules.
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Use of monoclonal antibody MBr1 to detect micrometastases in bone marrow specimens of breast cancer patients.
Bruno Salvadori,Paolo Squicciarini,Dario Rovini,Sergio Orefice,Salvatore Andreola,Franco Rilke,Lucilla Barletta,Sylvie Ménard,Maria I. Colnaghi +8 more
TL;DR: Bone marrow specimens obtained from 121 breast cancer patients immediately after surgery were examined by an immunofluorescence method with monoclonal antibody MBr1 to detect tumour cells undetectable by other diagnostic procedures, and Multivariate analysis showed that the additional contribution of MBr 1 positivity, after making allowance for other prognostic factors, was negligible.
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A parsing methodology for the implementation of visual systems
TL;DR: Algorithms are provided to implement a YACC-like tool embedded in the VLCC system for automatic compiler generation of visual languages described by positional grammars, based on the "positional grammar" model.
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A methodology and interactive environment for iconic language design
TL;DR: A design methodology for iconic languages based upon the theory of icon algebra to derive the meaning of iconic sentences is described and an interactive design environment based upon this methodology is described.