12 research outputs found

    Church-Rosser property and intersection types

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    We give a proof via reducibility of the Church-Rosser property for the system D of λ-calculus with intersection types. As a consequence we can get the confluence property for developments directly, without making use of the strong normalization property for developments, by using only the typability in D and a suitable embedding of developments in this system. As an application we get a proof of the Church-Rosser theorem for the untyped λ-calculus

    Transforming ASN.1 Specifications into CafeOBJ to assist with Property Checking

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    The adoption of algebraic specification/formal method techniques by the networks' research community is happening slowly but steadily. We work towards a software environment that can translate a protocol's specification, from Abstract Syntax Notation One (ASN.1 - a very popular specification language with many applications), into the powerful algebraic specification language CafeOBJ. The resulting code can be used to check, validate and falsify critical properties of systems, at the pre-coding stage of development. In this paper, we introduce some key elements of ASN.1 and CafeOBJ and sketch some first steps towards the implementation of such a tool including a case study.Comment: 8 pages, 12 figure

    Church-Rosser property and intersection types

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    We give a proof via reducibility of the Church-Rosser property for the system D of λ-calculus with intersection types. As a consequence we can get the confluence property for developments directly, without making use of the strong normalization property for developments, by using only the typability in D and a suitable embedding of developments in this system. As an application we get a proof of the Church-Rosser theorem for the untyped λ-calculus

    Functional interpretation of the β-rule

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    The Beneficial Effect of the Mobile Application Euglyca in Children and Adolescents with Type 1 Diabetes Mellitus: A Randomized Controlled Trial

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    Background: Euglyca is a mobile application which we developed for children and adolescents suffering type 1 diabetes mellitus (T1DM) for calculation of the appropriate insulin bolus dose by importing in the equation carbohydrates, lipids, glucose levels, and personalized parameters. Aim of this study is to evaluate the efficacy of this application on patients' glycemic control and satisfaction. Subjects and Methods: Eighty children and adolescents (aged 13.5 +/- 2.8 years old, mean +/- standard deviation) with T1DM were included in the study and were randomly and equally assigned in two groups. Patients were asked to use Euglyca for the calculation of the bolus insulin dose in the E group and to pursue their routine calculations in the C group (controls). At baseline and at 3, 6, and 12 months following the initial visit, glycated hemoglobin (HbA1c) values, percentages of hypoglycemias, hyperglycemias, and normoglycemias were determined for each patient, while Diabetes Treatment Satisfaction Questionnaire (DTSQ) was used to assess patients' treatment satisfaction at baseline and at 6 and 12 months. Results: Children and adolescents in the E group had a statistically significant decrease in HbA1c values and increase in percentages of normoglycemias and DTSQ scores, in comparison to children and adolescents in the C group. In the E group, a statistically significant positive linear correlation was found between DTSQ score and percentages of normoglycemias and a statistically significant negative correlation between changes in percentages of normoglycemias (Delta normoglycemias) and changes in HbA1c (Delta HbA1c). Conclusions: The use of the mobile application Euglyca contributes to the improvement of glycemic control and treatment satisfaction of children and adolescents with T1DM
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