A model-based gain scheduling approach for controlling the common-rail system for GDI engines

The progressive reduction in vehicle emission requirements have forced the automotive industry to invest in research for developing alternative and more efficient control strategies. All control features and resources are permanently active in an electronic control unit (ECU), ensuring the best performance with respect to emissions, fuel economy, driveability and diagnostics, independently from engine working point. In this article, a considerable step forward has been achieved by the common-rail technology which has made possible to vary the injection pressure over the entire engine speed range. As a consequence, the injection of a fixed amount of fuel is more precise and multiple injections in a combustion cycle can be made. In this article, a novel gain scheduling pressure controller for gasoline direct injection (GDI) engine is designed to stabilise the mean fuel pressure into the rail and to track demanded pressure trajectories. By exploiting a simple control-oriented model describing the mean pressure dynamics in the rail, the control structure turns to be simple enough to be effectively implemented in commercial ECUs. Experimental results in a wide range of operating points confirm the effectiveness of the proposed control method to tame efficiently the mean value pressure dynamics of the plant showing a good accuracy and robustness with respect to unavoidable parameters uncertainties, unmodelled dynamics, and hidden coupling terms.     

Modelling and simulation of complex manufacturing systems using statechart-based actors

This paper describes a multi-agent architecture based on the actors computational model, for the distributed simulation of discrete event systems whose entities have a complex dynamic behaviour. Complexity is dealt with by exploiting statechart-based actors which constitute the basic building blocks of a model. Actors are lightweight reactive autonomous agents that communicate to one another by asynchronous message passing. The thread-less character of actors saves memory space and fosters efficient execution. The behaviour of actors is specified through “distilled statecharts” that enable hierarchical and modular specifications. Distributed simulation is achieved by partitioning a system model among a set of logical processes (theatres). Timing management and inter-theatre communications rest in a case on the High Level Architecture services. The paper illustrates the practical application of the proposed modelling and simulation methodology by specifying and analysing a complex manufacturing system.     

Selective Cardiomyocyte Oxidative Stress Leads to Bystander Senescence of Cardiac Stromal Cells

Accumulation of senescent cells in tissues during normal or accelerated aging has been shown to be detrimental and to favor the outcomes of age-related diseases such as heart failure (HF). We have previously shown that oxidative stress dependent on monoamine oxidase A (MAOA) activity in cardiomyocytes promotes mitochondrial damage, the formation of telomere-associated foci, senescence markers, and triggers systolic cardiac dysfunction in a model of transgenic mice overexpressing MAOA in cardiomyocytes (Tg MAOA). However, the impact of cardiomyocyte oxidative stress on the cardiac microenvironment in vivo is still unclear. Our results showed that systolic cardiac dysfunction in Tg MAOA mice was strongly correlated with oxidative stress induced premature senescence of cardiac stromal cells favoring the recruitment of CCR2⁺ monocytes and the installation of cardiac inflammation. Understanding the interplay between oxidative stress induced premature senescence and accelerated cardiac dysfunction will help to define new molecular pathways at the crossroad between cardiac dysfunction and accelerated aging, which could contribute to the increased susceptibility of the elderly to HF.     

Effect of municipal solid waste compost and sewage sludge use on wheat (Triticum durum): growth,heavy metal accumulation,and antioxidant activity

BACKGROUND: Inappropriate utilisation of biosolids may adversely impact agrosystem productivity. Here, we address the response of wheat (Triticum durum) to different doses (0, 40, 100, 200 and 300 t ha^?1) of either municipal solid waste (MSW) compost or sewage sludge in a greenhouse pot experiment. Plant growth, heavy metal uptake, and antioxidant activity were considered. RESULTS: Biomass production of treated plants was significantly enhanced at 40 t ha^?1 and 100 t ha^?1 of MSW compost (+48% and +78% relative to the control, respectively). At the same doses of sewage sludge, the increase was only 18%. Higher doses of both biosolids restricted significantly the plant growth, in concomitance with the significant accumulation of heavy metals (Ni²⁺, Pb²⁺, Cu²⁺ and Zn²⁺), especially in leaves. Leaf activities of antioxidant enzymes (ascorbate peroxidase, glutathione reductase, catalase and superoxide dismutase) were unchanged at 40 t ha^?1 MSW compost or sewage sludge, but were significantly stimulated at higher doses (200–300 t ha^?1), together with higher leaf concentration of reduced glutathione. CONCLUSION: This preliminary study suggests that a MSW supply at moderate doses (100 t ha^?1) could be highly beneficial for wheat productivity. Copyright © 2010 Society of Chemical Industry     

Comparing mammographic images.

The main motivation in using intensity attributes to analyze and compare the technologies of mammography images acquisition is that such images are intrinsically of low contrast, which hinders the lesions detection and interpretation. Considering the viewing conditions, the study is under development to validate the influence of the contrast variation of many types of equipment on the radiologist's diagnosis. However, for the image processing, the contrast variation can be considered a problem affecting the detection of important structures. A large-intensity variation in a digitized image can be manipulated by image-processing techniques and aid in lesion detection. However, low-intensity variation, as observed in the images of full-field digital mammography systems, can impede the detection of some lesions types, as masses are structures of low contrast. Therefore, the new technologies should be tested and validated for an adequate calibration according to the procedures adjacent to the image acquisition itself.     

Modular and quasi-modular arithmetic

The conventional modular arithmetic is but a particular case of a more general class of solutions. In the case of addition the class of modular solutions is not too numerous; on the contrary, the modular solutions for multiplication are very many and the conventional modular arithmetic appears not to be among the best solutions, because of the redundancy of the code introduced by it. Some different types of modular solutions for implementing a given operation are distinguished. In the modular solutions of the first typer the input and output states are coded by means of a set of variables, and any variable of au output state depends only on the value assumed by the same variable for the corresponding input states. In the the values of some input variables. In the quasi-modular solutions some output variables depend on the values of a subset of input variables and the remaining output variables depend on all the input variables. An existence theorem for each type is proved and some procedures for finding a modular solution to a given operation are described. The developed theory and the synthesis procedures are based on partition algebra. Ricerca eseguita con il contributo del C.N.R.     

Mixed‐Model QSAR at the Glucocorticoid Receptor: Predicting the Binding Mode and Affinity of Psychotropic Drugs

The glucocorticoid receptor (GR) is a member of the nuclear receptor superfamily that affects immune response, development, and metabolism in target tissues. Glucocorticoids are widely used to treat diverse pathophysiological conditions, but their clinical applicability is limited by side effects. A prediction of the binding affinity toward the GR would be beneficial for identifying glucocorticoid‐mediated adverse effects triggered by drugs or chemicals. By identifying the binding mode to the GR using flexible docking (software Yeti) and quantifying the binding affinity through multidimensional QSAR (software Quasar), we validated a model family based on 110 compounds, representing four different chemical classes. The correlation with the experimental data (cross‐validated r²=0.702; predictive r²=0.719) suggests that our approach is suited for predicting the binding affinity of related compounds toward the GR. After challenging the model by a series of scramble tests, a consensus approach (software Raptor), and a prediction set, it was incorporated into our VirtualToxLab and used to simulate and quantify the interaction of 24 psychotropic drugs with the GR.     

Comparison of different extraction and clean-up procedures for the determination of fumonisins in maize and maizebased food products

In order to optimize the analytical method for the determination of fumonisin B₁ (FB₁) and fumonisin B₂ (FB₂) in diVerent maize products, five materials (maize flour, cornflakes, extruded maize, muffins and infant formula) were investigated under a variety of experimental conditions organized in a ruggedness test according to a factorial design. The influence of five factors (extraction solvent, extraction mode, volume of extraction solvent, test sample size and clean-up) on method performances was tested by four laboratories using spiked materials (0.5 μg/g and 1.5 μg/g FB₁ + FB₂) and naturally contaminated materials (ca 1.5 μg/g with FB₁ + FB₂). The end determination step was performed by high-performance liquid chromatography analysis of the o-phthaldialdehyde derivatized extracts. The ruggedness test permitted identification of two critical factors in the analysis of fumonisins in the above products, namely 'extraction solvent' and 'cleanup procedure'. In particular, the use of acetonitrile (ACN)-water (1 + 1, v + v) as extraction solvent and immunoaffinity column for clean-up provided better recovery of fumonisins and chromatographic resolution as compared with methanol (MeOH)-water (3 + 1, v + v) and strong anion exchange (SAX), respectively. However, phase separation occurring after extraction with ACN-water may have given incorrect results. Based on the information obtained with the present study it was possible to develop a new method horizonhorizontally applicable to all the above mentioned maize-based food matrices.     

Photo‐ and electroluminescent properties of a π‐conjugated copolymer containing 2,2′‐bipyridyl units

The synthesis, structural characteristics, and photo‐ and electroluminescent properties of a soluble light‐emitting copolymer built up of regularly alternating segments of 1,4‐dihexyloxybenzene and 2,2′‐bipyridyl (PBPyDHB) are described and discussed. Optical properties of the polymer were investigated in solution and solid‐state conditions, demonstrating that in film form the predominant emission centers are inter‐macromolecular aggregates, either in photo‐ or electroluminescence. Thermogravimetric analysis indicates that PBPyDHB has very high thermal stability, with a maximum decomposition rate around 400 °C and onset with 10% mass loss at 342 °C. The polymer is a blue emitter, and the good solubility, thermal behavior, and electroluminescence properties make it a promising material for electro‐optical applications. Copyright © 2006 Society of Chemical Industry