Hyper-arc consistency of polynomial constraints over finite domains using the modified Bernstein form

This paper describes an algorithm to enforce hyper-arc consistency of polynomial constraints defined over finite domains. First, the paper describes the language of so called polynomial constraints over finite domains, and it introduces a canonical form for such constraints. Then, the canonical form is used to transform the problem of testing the satisfiability of a constraint in a box into the problem of studying the sign of a related polynomial function in the same box, a problem which is effectively solved by using the modified Bernstein form of polynomials. The modified Bernstein form of polynomials is briefly discussed, and the proposed hyper-arc consistency algorithm is finally detailed. The proposed algorithm is a subdivision procedure which, starting from an initial approximation of the domains of variables, removes values from domains to enforce hyper-arc consistency.     

Serum Proteome in a Sporadic Amyotrophic Lateral Sclerosis Geographical Cluster

This study is meant to characterize the serum proteome in a small geographical cluster of sporadic ALS subjects originating from a restricted geographical area and sharing the same environmental exposure, in a broader context of evaluating the relevance of environmental factors to disease onset, status, and progression. An Artificial Neural Network based software is used to compare the relative abundance of proteins identified as different (by means of bi‐dimensional electrophoresis and mass spectrometry) in the serum proteome of patients and age‐matched healthy controls. The patient's group is characterized by altered levels of acute phase reactants and of proteins involved in lipid homeostasis, along with over‐representation of the APOE*4 allele. Characterization of the serum proteome in a small cluster of sporadic ALS patients, originating from a geographically restricted area with a high prevalence of the disease and evaluation of the results with software based on artificial neural networks, highlights the association of the relative abundance of some proteins (most notably, acute phase reactants and lipid homeostasis proteins) with the disease presence and status.     

Self-adaptation in next-generation Internet networks: how to react to traffic changes while respecting QoS?

Next-generation network infrastructure should support different services and several levels of quality of service (QoS) and resilience. The main requirements for such multiservice networks are flexibility, effective utilization of network resources, and ability to react to traffic demand changes with time. These requisites lead to the fact that next-generation networks should, to some extend, be "self-adapting," to cope with the need of promptly reacting to traffic demand changes, in an effective way, while taking into account the different requirements in terms of QoS. This paper sketches the reference network scenario and discusses the subject of self-adapting networks, attempting to focus on the key issues that need to be solved to realize future infrastructures. As a relevant example, this paper briefly reports a system developed by the authors' laboratory that implements a traffic engineering solution able to fulfill the mentioned requirements. This system could be regarded as a first concrete step toward the realization of self-adapting networks. In addition, some relevant results that were obtained either by simulation or by experiments on a real test bed are reported to discuss the main characteristics of such a system and assess the feasibility of the concept. Finally, the paper reviews the main hot issues that need to be addressed, in the authors' opinion, by the international research community.     

IRS-III: A broker-based approach to semantic Web services

A factor limiting the take up of Web services is that all tasks associated with the creation of an application, for example, finding, composing, and resolving mismatches between Web services have to be carried out by a software developer. Semantic Web services is a combination of semantic Web and Web service technologies that promise to alleviate these problems. In this paper we describe IRS-III, a framework for creating and executing semantic Web services, which takes a semantic broker-based approach to mediating between service requesters and service providers. We describe the overall approach and the components of IRS-III from an ontological and architectural viewpoint. We then illustrate our approach through an application in the eGovernment domain.     

CASE-BASED REASONING FOR MANAGING NONCOMPLIANCE WITH CLINICAL GUIDELINES

Despite the recognized advantages that can be obtained in clinical practice when following clinical guidelines (GL), situations of noncompliance with them may emerge. Keeping track of such deviations from the default GL execution, and documenting the physician's motivations, would clearly be an added value. Moreover, repeated alterations of GL actions (or flow) may highlight the need for an adaptation of the GL itself to the local reality, or may even indicate an improper or weak initial GL definition.
In this article, we propose an approach for managing noncompliance with GL, based on the case-based reasoning methodology. In front of a new noncompliance case, our tool allows the physician to retrieve past situations similar to the current one, and to decide whether to reapply the same GL modifications adopted in them. Moreover, the tool is able to learn indications from the ground noncompliance cases that can be deployed for local adaptation, and possibly, for suggesting more formal GL revisions to be carried out by a committee of expert physicians.     

Nonenzymatic browning induced by gamma-irradiation in model system Part IV. Three components system consisting of fructose, alanine and phenylalanine

Summary The effect of irradiation on the nonenzymatic browning reaction in the model system consisting of 0,03M-fructose, 0.01M-alanine and 0.01M-phenylalanine in aqueous solution was investigated. The loss of phenylalanine and fructose after irradiation, due to their high reactivity towards radical species of water radiolysis was greater compared with alanine. The heating of preirradiated solution caused only a slight decrease in the concentration of substrates. The characteristic absorption spectra for only irradiated and for irradiated and heated solutions were recorded. The heating produced a chromophore with a broadened absorption maximum about 285 nm. Two unidentified Amadori type compounds which gave positive response to ninhydrin were found by amino-acid analysis.

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Durch -Strahlung induzierte nichtenzymatische Bräunung im Modell-System Teil IV. Dreikomponentenmodellsystem aus Fructose, Alanin und Phenylalanin

Zusammenfassung Es wurde der Einfluß von -Strahlen auf die nichtenzymatische Bräunung im Dreikomponenten-Modellsystem, bestehend aus 0,03m-Fructose, 0,01m-Alanin und 0,01m-Phenylalanin in wäßriger Lösung untersucht. Der Verlust an Phenylalanin und Fructose nach der Bestrahlung war größer als bei Alanin wegen dessen größerer Reaktivität zu den Radikalen der Wasserradiolyse. Beim Erhitzen von bestrahlten Losungen wurde eine Abnahme in der Konzentration von Substraten beobachtet. Es wurden die charakteristischen Absorptionsspektren von lediglich bestrahlten und von bestrahlten und gleichzeitig erhitzten Lösungen aufgenommen. Beim Erhitzen wird ein Chromophor mit breitem Absorptionsmaximum bei ungefähr 285 nm, gebildet. Es wurden zwei nichtidentifizierte Amadoriprodukte mit positiver Ninhydrin-Reaktion bei den Aminosäureanalysen gefunden.

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For part 3 see [8]     

Experimental validation of the discrete-time MCS adaptive strategy

This paper is concerned with the implementation and experimental validation of a discrete-time model reference adaptive control strategy, known as Minimal Control Synthesis (MCS) algorithm. After discussing the proof of stability of the algorithm when applied to discretized models of continuous-time plants, the problem of controlling a highly nonlinear electro-mechanical device is taken as a representative case of study. It is shown that the discrete-time MCS is an effective strategy to solve the problem while guaranteeing robustness to unmodeled nonlinear dynamics over a wide range of test manoeuvres.     

Analytical and graphical design of lead–lag compensators

In this article an approach based on inversion formulae is used for the design of lead–lag compensators which satisfy frequency domain specifications on phase margin, gain margin and phase (or gain) crossover frequency. An analytical and graphical procedure for the compensator design on the Nyquist and Nichols planes is presented with some numerical examples.