12 research outputs found
Church-Rosser property and intersection types
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
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
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
The Beneficial Effect of the Mobile Application Euglyca in Children and Adolescents with Type 1 Diabetes Mellitus: A Randomized Controlled Trial
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