Dependability analysis of DES based on MARTE and UML state machines models

UML (Unified Modeling Language) is a standard design notation which offers the state machines diagram to specify reactive software systems. The “Modeling and Analysis of Real-Time and Embedded systems” profile (MARTE) enables UML with capabilities for performance analysis. MARTE has been specialized in a “Dependability Analysis and Modeling” profile (DAM), then providing UML with dependability assets. In this work, we propose an approach for the automatic transformation of UML-DAM models into Deterministic and Stochastic Petri nets and the subsequent dependability analysis.     

Antifungal Activity and DNA Topoisomerase Inhibition of Hydrolysable Tannins from Punica granatum L.

Punica granatum L. (pomegranate) fruit is known to be an important source of bioactive phenolic compounds belonging to hydrolysable tannins. Pomegranate extracts have shown antifungal activity, but the compounds responsible for this activity and their mechanism/s of action have not been completely elucidated up to now. The aim of the present study was the investigation of the inhibition ability of a selection of pomegranate phenolic compounds (i.e., punicalagin, punicalin, ellagic acid, gallic acid) on both plant and human fungal pathogens. In addition, the biological target of punicalagin was identified here for the first time. The antifungal activity of pomegranate phenolics was evaluated by means of Agar Disk Diffusion Assay and minimum inhibitory concentration (MIC) evaluation. A chemoinformatic analysis predicted for the first time topoisomerases I and II as potential biological targets of punicalagin, and this prediction was confirmed by in vitro inhibition assays. Concerning phytopathogens, all the tested compounds were effective, often similarly to the fungicide imazalil at the label dose. Particularly, punicalagin showed the lowest MIC for Alternaria alternata and Botrytis cinerea, whereas punicalin was the most active compound in terms of growth control extent. As for human pathogens, punicalagin was the most active compound among the tested ones against Candida albicans reference strains, as well as against the clinically isolates. UHPLC coupled with HRMS indicated that C. albicans, similarly to the phytopathogen Coniella granati, is able to hydrolyze both punicalagin and punicalin as a response to the fungal attack. Punicalagin showed a strong inhibitory activity, with IC₅₀ values of 9.0 and 4.6 µM against C. albicans topoisomerases I and II, respectively. Altogether, the results provide evidence that punicalagin is a valuable candidate to be further exploited as an antifungal agent in particular against human fungal infections.     

Automatic determination of synergies by radial basis function artificial neural networks for the control of a neural prosthesis.

This paper describes an automatic method for synthesizing the control for a neural prosthesis (NP) that could augment elbow flexion/extension and forearm pronation/supination in persons with hemiplegia. The basis for the control was a synergistic model of reaching and grasping that uses temporal and spatial synergies between the arm and body segments. The synergies were determined from the movement data measured in nondisabled persons during the performance of functional tasks. The work space was divided into six zones: distance (two attributes) and laterality (three attributes). Radial basis function artificial neural networks (RBF ANN) were used to determine synergies. Sets of RBF ANN characterized with good generalization were selected as control laws for elbow flexion/extension and forearm pronation/supination. The validation was performed for three categories: inter-subject, distance, and laterality generalization. For all of the defined spatial synergies, the correlation was high for inter-subject and distance, yet low for the laterality scenario. This suggests the necessity for implementing different maps for different directions, but the same maps for different distances. The natural movements of the upper arm then drive the lower arm (elbow flexion/extension and forearm pronation/supination) in a way that is very well suited for the administration of functional electrical therapy (FET) in persons with hemiplegia soon after the onset of impairment.     

Metal (IV) tetras (8‐hydroxyquinoline) (M = Zr,Hf) used as electroluminescent material and electron‐transport layer in OLEDs

Abstract— In this paper, we report on the utilization of zirconium (IV) tetras (8‐hydroxyquinoline), Zrq₄, and hafnium (IV) tetras (8‐hydroxyquinoline), Hfq₄, as an electroluminescent material in fluorescent organic light‐emitting diodes (OLED) and as electron transport layer (ETL) for high‐efficiency electrophosphorescent organic light‐emitting diodes (PHOLEDs). Structural studies show that the metal tetraquinolates (Mq₄) have a very low dipole moment (<0.1 D), in contrast to Alq₃ which has an estimated dipole moment of 4.7 D. Mobility measurements show that Mq₄ complexes give mobilities of (3.5 ± 0.5) × 10^?6 cm²/V‐sec, which are close to the values reported for Alq₃, i.e., (2.3–4.3) × 10^?6 cm²/V‐sec. OLEDs were prepared with the structure ITO/NPD (400 Å)/Mq_n (500 Å)/LiF/Al (NPD = 4‐4′‐bis[N‐(1‐naphthyl)‐N‐phenyl‐amino]bi phenyl, Mq_n = Alq₃, Zrq₄, Hfq₄. The Mq₄‐based OLEDs gave external efficiencies of 1.1%, while the Alq₃‐based devices of the same structure gave efficiencies of 0.7%. PHOLEDs have been fabricated with the structure ITO/NPD (500 Å)/CBP‐8% Ir(ppy)³ (250 Å)/BCP (150 Å)/Mq_n (250 Å)/LiF/Al (CBP = N,N′‐dicarbazolyl‐4‐4′‐biphenyl, Ir(ppy)³ = fac‐tris(2‐phenylpyrridine)iridium, BCP = bathocruprione). PHOLEDs with Mq₄ ETLs showed a greatly improved efficiency, when compared to Alq₃‐based PHOLEDs. The Zrq₄‐based PHOLEDs gave a peak external quantum efficiency of 14% at 0.3 mA/cm² (150 cd/m²), while the Hfq₄ based PHOLED gave a peak external quantum efficiency of 15% at 0.6 mA/cm² (300 cd/m²). Comparable PHOLEDs with an Alq₃ ETL give peak external quantum efficiencies of 8.0% at 0.5 mA/cm². The devices gave an electroluminescence (EL) spectrum consisting only of fac‐tris(2‐phenylpyrridine)iridium (Ir(ppy)³) dopant emission (CIE coordinates of 0.26, 0.66), with no Mq₄ emission observed at any bias level.     

Distributed state space minimization

We present a new algorithm, and its distributed implementation, for reducing labeled transition systems modulo strong bisimulation. The base of this algorithm is the Kanellakis–Smolka “naive method”, which has a high theoretical complexity but is successful in practice and well suited to parallelization. This basic approach is combined with optimizations inspired by the Kanellakis–Smolka algorithm for the case of bounded fanout, which has the best known time complexity. The distributed implementation is improved with respect to previous attempts by a better overlap between communication and computation, which results in an efficient usage of both memory and processing power. We also discuss the time complexity of this algorithm and show experimental results with sequential and distributed prototype tools.     

Distributed Branching Bisimulation Reduction of State Spaces

Enumerative model checking tools are limited by the size of the state space to which they can be applied. Reduction modulo branching bisimulation usually results in a much smaller state space and therefore enables model checking of much larger state spaces. We present an algorithm for reducing state spaces modulo branching bisimulation which is suitable for distributed implementation. The target architecture is a cluster with a high bandwidth interconnect. The algorithm is based on partition refinement and it works on transition systems which contain cycles of invisible steps, without eliminating strongly connected components first. To avoid fine grained parallelism, the algorithm refines the whole partition instead of just a single block in the partition. We prove correctness and also present some experimental results obtained with single threaded and distributed prototypes.     

Heuristic average-case analysis of the backtrack resolution of random 3-satisfiability instances

An analysis of the average-case complexity of solving random 3-Satisfiability (SAT) instances with backtrack algorithms is presented. We first interpret previous rigorous works in a unifying framework based on the statistical physics notions of dynamical trajectories, phase diagram and growth process. It is argued that, under the action of the Davis–Putnam–Loveland–Logemann (DPLL) algorithm, 3-SAT instances are turned into 2+p-SAT instances whose characteristic parameters (ratio of clauses per variable, fraction p of 3-clauses) can be followed during the operation, and define resolution trajectories. Depending on the location of trajectories in the phase diagram of the 2+p-SAT model, easy (polynomial) or hard (exponential) resolutions are generated. Three regimes are identified, depending on the ratio of the 3-SAT instance to be solved. Lower satisfiable (sat) phase: for small ratios, DPLL almost surely finds a solution in a time growing linearly with the number N of variables. Upper sat phase: for intermediate ratios, instances are almost surely satisfiable but finding a solution requires exponential time (2^Nω with ω>0) with high probability. Unsat phase: for large ratios, there is almost always no solution and proofs of refutation are exponential. An analysis of the growth of the search tree in both upper sat and unsat regimes is presented, and allows us to estimate ω as a function of . This analysis is based on an exact relationship between the average size of the search tree and the powers of the evolution operator encoding the elementary steps of the search heuristic.     

Fabrication of miniaturized Si-based electrocatalytic membranes

The increasing interest for lightweight and portable electronic systems, cellphones and small digital devices is driving technological research towards integrated regenerating power sources with small dimensions and great autonomy. Conventional batteries are already unable to deliver power in ever smaller volumes while maintaining the requirements of long duration and light weight. A possible solution to overcome these limits is the use of miniaturized fuel cells. The fuel cell offers a greater gravimetric energy density compared to conventional batteries. The micromachining technology of silicon is an important tool to reduce the fuel cell structure to micron sizes. The use of silicon also gives the opportunity to integrate the power source and the electronic circuits controlling the fuel cell on the same structure. This article reports preliminary results concerning the micromachining process for fabricating a silicon-based electrocatalytic membrane for miniaturized Si-based proton-exchange membrane (PEM) fuel cells.     

Intersection Typed λ-calculus

The aim of this paper is to discuss the design of an explicitly typed λ-calculus corresponding to the Intersection Type Assignment System (IT) which assigns intersection types to the untyped λ-calculus. Two different proposals are given. The logical foundation of all of them is the Intersection Logic IL.     

Stability of fusaproliferin,a mycotoxin from Fusarium spp

Fusaproliferin (FP) is a mycotoxin produced by some phytopathogenic Fusarium spp which frequently occur on several agriculturally important plants. We measured FP decomposition in dry or wet contaminated wheat samples incubated at various temperatures (80, 120, 180 and 240 °C) for various times (15, 20, 45 and 60 minutes). Water increased FP decomposition at 80, 120 and 180 °C, but a complete destruction of FP occurred at 240 °C only under dry conditions. Treatment of samples with a saturated solution of dichloroisocyanuric acid reduced FP contamination, while physical treatments such as UV irradiation and sonication did not. © 1999 Society of Chemical Industry