Sviluppo di algoritmi di RCP per la stima della coppia indicata erogata da un motore a combustione interna.

Combustion control is one of the key factors to obtain better performances and lower pollutant emissions for diesel, spark ignition and HCCI engines. An algorithm that allows estimating, as an example, the mean indicated torque for each cylinder, could be easily used in control strategies, in order to carry out cylinders trade-off, control the cycle to cycle variation, or detect misfires. A tool that allows evaluating the 50% of Mass Fraction Burned (MFB50), or the net Cumulative Heat Release (CHRNET), or the ROHR peak value (Rate of Heat Release), could be used to optimize spark advance or to detect knock in gasoline engines and to optimize injection pattern in diesel engines. Modern management systems are based on the control of the mean indicated torque produced by the engine: they need a real or virtual sensor in order to compare the measured value with the target one. Many studies have been performed in order to obtain an accurate and reliable over time torque estimation. The aim of this PhD activity was to develop two different algorithms: the first one is based on the instantaneous engine speed fluctuations measurement. The speed signal is picked up directly from the sensor facing the toothed wheel mounted on the engine for other control purposes. The engine speed fluctuation amplitudes depend on the combustion and on the amount of torque delivered by each cylinder. The second algorithm processes in-cylinder pressure signals in the angular domain. In this case a crankshaft encoder is not necessary, because the angular reference can be obtained using a standard sensor wheel. The results obtained with these two methodologies are compared in order to evaluate which one is suitable for on board applications, depending on the accuracy required.

Identificazione dei fenotipi clinici dell’insufficienza renale cronica che predicono la progressione della malattia. Un’applicazione della tecnica degli alberi decisionali

The primary aim of this dissertation to identify subgroups of patients with chronic kidney disease (CKD) who have a differential risk of progression of illness and the secondary aim is compare 2 equations to estimate the glomerular filtration rate (GFR). To this purpose, the PIRP (Prevention of Progressive Kidney Disease) registry was linked with the dialysis and mortality registries. The outcome of interest is the mean annual variation of GFR, estimated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. A decision tree model was used to subtype CKD patients, based on the non-parametric procedure CHAID (Chi-squared Automatic Interaction Detector). The independent variables of the model include gender, age, diabetes, hypertension, cardiac diseases, body mass index, baseline serum creatinine, haemoglobin, proteinuria, LDL cholesterol, tryglycerides, serum phoshates, glycemia, parathyroid hormone and uricemia. The decision tree model classified patients into 10 terminal nodes using 6 variables (gender, age, proteinuria, diabetes, serum phosphates and ischemic cardiac disease) that predict a differential progression of kidney disease. Specifically, age <=53 year, male gender, proteinuria, diabetes and serum phosphates >3.70 mg/dl predict a faster decrease of GFR, while ischemic cardiac disease predicts a slower decrease. The comparison between GFR estimates obtained using MDRD4 and CKD-EPI equations shows a high percentage agreement (>90%), with modest discrepancies for high and low age and serum creatinine levels. The study results underscore the need for a tight follow-up schedule in patients with age <53, and of patients aged 54 to 67 with diabetes, to try to slow down the progression of the disease. The result also emphasize the effective management of patients aged>67, in whom the estimated decrease in glomerular filtration rate corresponds with the physiological decrease observed in the absence of kidney disease, except for the subgroup of patients with proteinuria, in whom the GFR decline is more pronounced.

Mappaggio fine di un QTL principale per la resa in granella sul cromosoma 3B di frumento duro

In durum wheat, two major QTL for grain yield (Qyld.idw-2B and Qyld.idw-3B) and related traits were identified in a recombinant population derived from Kofa and Svevo (Maccaferri et al. 2008). To further investigate the genetic and physiological basis of allelic variation for this important trait, the fine mapping of Qyld.idw-2B e Qyld.idw-3B was done during the PhD. In this regard, new molecular markers were added to increase the map resolution in the target interval. For Qyld.idw-2B region COS markers derived from the synteny between wheat and rice/ sorghum /brachypodiu genomes were screened. While for Qyld.idw-3B region SSR, ISBP and COS markers obtained from BAC end-sequences and BAC sequences generated during the construction of the 3B physical map (Paux et al., 2008) were screened. In the RIL population a final map resolution of 2,8 markers/cM for Qyld.idw-2B and 0,6 markers/cM for Qyld.idw-3B were obtained. Eighteen pairs of near-isogenic lines (NILs) for Qyld.idw-3B were obtained from F4:5 heterogeneous inbred families. In order to confirm the phenotypic effect of the QTL all pairs were evaluated in field trials (2010 and 2011) for all traits. Three pairs of NILs, with contrasted haplotypes at the target region, were crossed to produce a large F2 population (ca. 7,500 plants in total) that was screened for the identification of recombinants. A total of 233 homozygous F4:5 segmental isolines were obtained and the phenotypic and genotypic characterization of these materials were done. A fine mapping for Qyld.idw-3B was obtained and the QTL peak was identified in a interval of 0,4 cM. All markers were anchored to the Chinese Spring physical map of chr. 3B, which allowed us to identify the BAC Contigs spanning the QTL region and to assign the QTL peak to Contig 954. Sequencing of this contig has revealed the presence of 42 genes.