Combinatorial and Robust Optimisation Models and Algorithms for Railway Applications

This thesis deals with an investigation of combinatorial and robust optimisation models to solve railway problems. Railway applications represent a challenging area for operations research. In fact, most problems in this context can be modelled as combinatorial optimisation problems, in which the number of feasible solutions is finite. Yet, despite the astonishing success in the field of combinatorial optimisation, the current state of algorithmic research faces severe difficulties with highly-complex and data-intensive applications such as those dealing with optimisation issues in large-scale transportation networks. One of the main issues concerns imperfect information. The idea of Robust Optimisation, as a way to represent and handle mathematically systems with not precisely known data, dates back to 1970s. Unfortunately, none of those techniques proved to be successfully applicable in one of the most complex and largest in scale (transportation) settings: that of railway systems. Railway optimisation deals with planning and scheduling problems over several time horizons. Disturbances are inevitable and severely affect the planning process. Here we focus on two compelling aspects of planning: robust planning and online (real-time) planning.

High performance and energy-efficient instruction cache design and optimisation for ultra-low-power multi-core clusters

High Energy efficiency and high performance are the key regiments for Internet of Things (IoT) end-nodes. Exploiting cluster of multiple programmable processors has recently emerged as a suitable solution to address this challenge. However, one of the main bottlenecks for multi-core architectures is the instruction cache. While private caches fall into data replication and wasting area, fully shared caches lack scalability and form a bottleneck for the operating frequency. Hence we propose a hybrid solution where a larger shared cache (L1.5) is shared by multiple cores connected through a low-latency interconnect to small private caches (L1). However, it is still limited by large capacity miss with a small L1. Thus, we propose a sequential prefetch from L1 to L1.5 to improve the performance with little area overhead. Moreover, to cut the critical path for better timing, we optimized the core instruction fetch stage with non-blocking transfer by adopting a 4 x 32-bit ring buffer FIFO and adding a pipeline for the conditional branch. We present a detailed comparison of different instruction cache architectures' performance and energy efficiency recently proposed for Parallel Ultra-Low-Power clusters. On average, when executing a set of real-life IoT applications, our two-level cache improves the performance by up to 20% and loses 7% energy efficiency with respect to the private cache. Compared to a shared cache system, it improves performance by up to 17% and keeps the same energy efficiency. In the end, up to 20% timing (maximum frequency) improvement and software control enable the two-level instruction cache with prefetch adapt to various battery-powered usage cases to balance high performance and energy efficiency.

Development of musculoskeletal models for the design and the pre-clinical validation of hip resurfacing prosthesis

Background. The surgical treatment of dysfunctional hips is a severe condition for the patient and a costly therapy for the public health. Hip resurfacing techniques seem to hold the promise of various advantages over traditional THR, with particular attention to young and active patients. Although the lesson provided in the past by many branches of engineering is that success in designing competitive products can be achieved only by predicting the possible scenario of failure, to date the understanding of the implant quality is poorly pre-clinically addressed. Thus revision is the only delayed and reliable end point for assessment. The aim of the present work was to model the musculoskeletal system so as to develop a protocol for predicting failure of hip resurfacing prosthesis. Methods. Preliminary studies validated the technique for the generation of subject specific finite element (FE) models of long bones from Computed Thomography data. The proposed protocol consisted in the numerical analysis of the prosthesis biomechanics by deterministic and statistic studies so as to assess the risk of biomechanical failure on the different operative conditions the implant might face in a population of interest during various activities of daily living. Physiological conditions were defined including the variability of the anatomy, bone densitometry, surgery uncertainties and published boundary conditions at the hip. The protocol was tested by analysing a successful design on the market and a new prototype of a resurfacing prosthesis. Results. The intrinsic accuracy of models on bone stress predictions (RMSE < 10%) was aligned to the current state of the art in this field. The accuracy of prediction on the bone-prosthesis contact mechanics was also excellent (< 0.001 mm). The sensitivity of models prediction to uncertainties on modelling parameter was found below 8.4%. The analysis of the successful design resulted in a very good agreement with published retrospective studies. The geometry optimisation of the new prototype lead to a final design with a low risk of failure. The statistical analysis confirmed the minimal risk of the optimised design over the entire population of interest. The performances of the optimised design showed a significant improvement with respect to the first prototype (+35%). Limitations. On the authors opinion the major limitation of this study is on boundary conditions. The muscular forces and the hip joint reaction were derived from the few data available in the literature, which can be considered significant but hardly representative of the entire variability of boundary conditions the implant might face over the patients population. This moved the focus of the research on modelling the musculoskeletal system; the ongoing activity is to develop subject-specific musculoskeletal models of the lower limb from medical images. Conclusions. The developed protocol was able to accurately predict known clinical outcomes when applied to a well-established device and, to support the design optimisation phase providing important information on critical characteristics of the patients when applied to a new prosthesis. The presented approach does have a relevant generality that would allow the extension of the protocol to a large set of orthopaedic scenarios with minor changes. Hence, a failure mode analysis criterion can be considered a suitable tool in developing new orthopaedic devices.

Effetti del chitosano su composti polifenolici in colture cellulari di vite: aspetti molecolari e metabolici

Polyphenols, including flavonoids and stilbenes, are an essential part of human diet and constitute one of the most abundant and ubiquitous group of plant secondary metabolites. The level of these compounds is inducible by stress or fungal attack, so attempts are being made to identify likely biotic and abiotic elicitors and to better understand the underlying mechanism. Resveratrol (3,5,4’-trihydroxystilbene), which belongs to the stilbene family, is a naturally occurring polyphenol, found in several fruits, vegetables and beverages including red wine. It is one of the most important plant polyphenols with proved benefic activity on animal health. In the last two decades, the potential protective effects of resveratrol against cardiovascular and neurodegenerative diseases, as well as the chemopreventive properties against cancer, have been largely investigated. The most important source of polyphenols and in particular resveratrol for human diet is grape (Vitis vinifera). Since stilbenes and flavonoids play a very important role in plant defence responses and enviromental interactions, and their effects on human health seem promising, the aim of the research of this Thesis was to study at different levels the activation and the regulation of their biosynthetic pathways after chitosan treatment. Moreover, the polyphenol production in grape cells and the optimisation of cultural conditions bioreactor scale-up, were also investigated. Cell suspensions were obtained from cv. Barbera (Vitis vinifera L.) petioles and were treated with a biotic elicitor, chitosan (50 μg/mL, dissolved in acetic acid) to promote phenylpropanoid metabolism. Chitosan is a D-glucosamine polymer from fungi cell wall and therefore mimes fungal pathogen attack. Liquid cultures have been monitored for 15 days, measuring cell number, cell viability, pH and grams of fresh weight. The endogenous and released amounts of 7 stilbenes (trans and cis isomers of resveratrol, piceid and resveratroloside, and piceatannol), gallic acid, 6 hydroxycinnamic acids (trans-cinnamic, p-coumaric, caffeic, ferulic, sinapic and chlorogenic acids), 5 catechines (catechin, epicatechin, epigallocatechin-gallate (EGCG), epigallocatechin and epicatechin-gallate) and other 5 flavonoids (chalcon, naringenin, kaempferol, quercetin and rutin) in cells and cultural medium, were measured by HPLC-DAD analysis and total anthocyanins were quantified by spectrophotometric analysis. Chitosan was effective in stimulating trans-resveratrol endogenous accumulation with a sharp peak at day 4 (exceeding acetic acid and water controls by 36% and 63%, respectively), while it did not influence the production of the cis-isomer. Compared to both water and acetic acid controls, chitosan decreased the release of both trans- and cis-resveratrol respect to controls. No effect was shown on the accumulation of single resveratrol mono-glucoside isomers, but considering their total amount, normalized for the relative water control, it was possible to evidence an increase in both accumulation and release of those compounds, in chitosan-treated cells, throughout the culture period and particularly during the second week. Many of the analysed flavonoids and hydroxycinnamic acids were not present or detectable in trace amounts. Catechin, epicatechin and epigallocatechin-gallate (EGCG) were detectable both inside the cells and in the culture media, but chitosan did not affect their amounts. On the contrary, total anthocyanins have been stimulated by chitosan and their level, from day 4 to 14, was about 2-fold higher than in both controls, confirming macroscopic observations that treated suspensions showed an intense brown-red color, from day 3 onwards. These elicitation results suggest that chitosan selectively up-regulates specific biosynthetic pathways, without modifying the general accumulation pattern of other flavonoids. Proteins have been extracted from cells at day 4 of culture (corresponding to the production peak of trans-resveratrol) and separated by bidimensional electrophoresis. The 73 proteins that showed a consistently changed amount between untreated, chitosan and acetic acid (chitosan solvent) treated cells, have been identified by mass spectrometry. Chitosan induced an increase in stilbene synthase (STS, the resveratrol biosynthetic enzyme), chalcone-flavanone isomerase (CHI, that switches the pathway from chalcones to flavones and anthocyanins), pathogenesis-related proteins 10 (PRs10, a large family of defence proteins), and a decrease in many proteins belonging to primary metabolisms. A train of six distinct spots of STS encoded by the same gene and increased by chitosan, was detected on the 2-D gels, and related to the different phosphorylation degree of STS spots. Northern blot analyses have been performed on RNA extracted from cells treated with chitosan and relative controls, using probes for STS, PAL (phenylalanine ammonia lyase, the first enzyme of the biosynthetic pathway), CHS (chalcone synthase, that shares with STS the same precursors), CHI and PR-10. The up-regulation of PAL, CHS and CHI transcript expression levels correlated with the accumulation of anthocyanins. The strong increase of different molecular weight PR-10 mRNAs, correlated with the 11 PR-10 protein spots identified in proteomic analyses. The sudden decrease in trans-resveratrol endogenous accumulation after day 4 of culture, could be simply explained by the diminished resveratrol biosynthetic activity due to the lower amount of biosynthetic enzymes. This might be indirectly demonstrated by northern blot expression analyses, that showed lower levels of phenylalanine ammonia lyase (PAL) and stilbene synthase (STS) mRNAs starting from day 4. Other possible explanations could be a resveratrol oxidation process and/or the formation of other different mono-, di-glucosides and resveratrol oligomers such as viniferins. Immunolocalisation experiments performed on grape protoplasts and the subsequent analyses by confocal microscope, showed that STS, and therefore the resveratrol synthetic site, is mostly associated to intracellular membranes close to the cytosolic side of plasma membrane and in a smaller amount is localized in the cytosol. STS seemed not to be present inside vacuole and nucleus. There were no differences in the STS intracellular localisation between the different treatments. Since it was shown that stilbenes are largely released in the culture medium and that STS is a soluble protein, a possible interaction of STS with a plasma membrane transporter responsible for the extrusion of stilbenes in the culture medium, might be hypothesized. Proteomic analyses performed on subcellular fractions identified in the microsomial fraction 5 proteins taking part in channel complexes or associated with channels, that significantly changed their amount after chitosan treatment. In soluble and membrane fractions respectively 3 and 4 STS and 6 and 3 PR-10 have been identified. Proteomic results obtained from subcellular fractions substantially confirmed previous result obtained from total cell protein extracts and added more information about protein localisation and co-localisation. The interesting results obtained on Barbera cell cultures with the aim to increase polyphenol (especially stilbenes) production, have encouraged scale up tests in 1 litre bioreactors. The first trial fermentation was performed in parallel with a normal time-course in 20 mL flasks, showing that the scale-up (bigger volume and different conditions) process influenced in a very relevant way stilbenes production. In order to optimise culture parameters such as medium sucrose amount, fermentation length and inoculum cell concentration, few other fermentations were performed. Chitosan treatments were also performed. The modification of each parameter brought relevant variations in stilbenes and catechins levels, so that the production of a certain compound (or class of compounds) could be hypothetically promoted by modulating one or more culture parameters. For example the catechin yield could be improved by increasing sucrose content and the time of fermentation. The best results in stilbene yield were obtained in a 800 mL fermentation inoculated with 10.8 grams of cells and supplemented with chitosan. The culture was fed with MS medium added with 30 g/L sucrose, 25 μg/mL rifampicin and 50 μg/mL of chitosan, and was maintained at 24°C, stirred by marine impeller at 100 rpm and supplied of air at 0.16 L/min rate. Resveratroloside was the stilbene present in the larger amount, 3-5 times more than resveratrol. Because resveratrol glucosides are similarly active and more stable than free resveratrol, their production using a bioreactor could be a great advantage in an hypothetical industrial process. In my bioreactor tests, stilbenes were mainly released in the culture medium (60-80% of the total) and this fact could be another advantage for industrial applications, because it allows recovering the products directly from the culture medium without stopping the fermentation and/or killing the cells. In my best cultural conditions, it was possible to obtain 3.95 mg/L of stilbenes at day 4 (maximum resveratrol accumulation) and 5.13 mg/L at day 14 (maximum resveratroloside production). In conclusion, chitosan effect in inducing Vitis vinifera defense mechanisms can be related to its ability to increase the intracellular content of a large spectrum of antioxidants, and in particular of resveratrol, its derivates and anthocyanins. Its effect can be observed at transcriptional, proteomic (variation of soluble and membrane protein amounts) and metabolic (polyphenols production) level. The chitosan ability to elicit specific plant matabolisms can be useful to produce large quantities of antioxidant compounds from cell culture in bioreactor.

Sulla ricerca del minimo dei consumi per vetture sportive

La ricerca oggetto di questa tesi, come si evince dal titolo stesso, è volta alla riduzione dei consumi per vetture a forte carattere sportivo ed elevate prestazioni specifiche. In particolare, tutte le attività descritte fanno riferimento ad un ben definito modello di vettura, ovvero la Maserati Quattroporte. Lo scenario all’interno del quale questo lavoro si inquadra, è quello di una forte spinta alla riduzione dei cosiddetti gas serra, ossia dell’anidride carbonica, in linea con quelle che sono le disposizioni dettate dal protocollo di Kyoto. La necessità di ridurre l’immissione in atmosfera di CO2 sta condizionando tutti i settori della società: dal riscaldamento degli edifici privati a quello degli stabilimenti industriali, dalla generazione di energia ai processi produttivi in senso lato. Nell’ambito di questo panorama, chiaramente, sono chiamati ad uno sforzo considerevole i costruttori di automobili, alle quali è imputata una percentuale considerevole dell’anidride carbonica prodotta ogni giorno e riversata nell’atmosfera. Al delicato problema inquinamento ne va aggiunto uno forse ancor più contingente e diretto, legato a ragioni di carattere economico. I combustibili fossili, come tutti sanno, sono una fonte di energia non rinnovabile, la cui disponibilità è legata a giacimenti situati in opportune zone del pianeta e non inesauribili. Per di più, la situazione socio politica che il medio oriente sta affrontando, unita alla crescente domanda da parte di quei paesi in cui il processo di industrializzazione è partito da poco a ritmi vertiginosi, hanno letteralmente fatto lievitare il prezzo del petrolio. A causa di ciò, avere una vettura efficiente in senso lato e, quindi, a ridotti consumi, è a tutti gli effetti un contenuto di prodotto apprezzato dal punto di vista del marketing, anche per i segmenti vettura più alti. Nell’ambito di questa ricerca il problema dei consumi è stato affrontato come una conseguenza del comportamento globale della vettura in termini di efficienza, valutando il miglior compromesso fra le diverse aree funzionali costituenti il veicolo. Una parte consistente del lavoro è stata dedicata alla messa a punto di un modello di calcolo, attraverso il quale eseguire una serie di analisi di sensibilità sull’influenza dei diversi parametri vettura sul consumo complessivo di carburante. Sulla base di tali indicazioni, è stata proposta una modifica dei rapporti del cambio elettro-attuato con lo scopo di ottimizzare il compromesso tra consumi e prestazioni, senza inficiare considerevolmente queste ultime. La soluzione proposta è stata effettivamente realizzata e provata su vettura, dando la possibilità di verificare i risultati ed operare un’approfondita attività di correlazione del modello di calcolo per i consumi. Il beneficio ottenuto in termini di autonomia è stato decisamente significativo con riferimento sia ai cicli di omologazione europei, che a quelli statunitensi. Sono state inoltre analizzate le ripercussioni dal punto di vista delle prestazioni ed anche in questo caso i numerosi dati rilevati hanno permesso di migliorare il livello di correlazione del modello di simulazione per le prestazioni. La vettura con la nuova rapportatura proposta è stata poi confrontata con un prototipo di Maserati Quattroporte avente cambio automatico e convertitore di coppia. Questa ulteriore attività ha permesso di valutare il differente comportamento tra le due soluzioni, sia in termini di consumo istantaneo, che di consumo complessivo rilevato durante le principali missioni su banco a rulli previste dalle normative. L’ultima sezione del lavoro è stata dedicata alla valutazione dell’efficienza energetica del sistema vettura, intesa come resistenza all’avanzamento incontrata durante il moto ad una determinata velocità. Sono state indagate sperimentalmente le curve di “coast down” della Quattroporte e di alcune concorrenti e sono stati proposti degli interventi volti alla riduzione del coefficiente di penetrazione aerodinamica, pur con il vincolo di non alterare lo stile vettura.

Catalytic liquid- and gas-phase oxidations for the synthesis of intermediates and specialty chemicals: some examples of industrial relevance

Nowadays, it is clear that the target of creating a sustainable future for the next generations requires to re-think the industrial application of chemistry. It is also evident that more sustainable chemical processes may be economically convenient, in comparison with the conventional ones, because fewer by-products means lower costs for raw materials, for separation and for disposal treatments; but also it implies an increase of productivity and, as a consequence, smaller reactors can be used. In addition, an indirect gain could derive from the better public image of the company, marketing sustainable products or processes. In this context, oxidation reactions play a major role, being the tool for the production of huge quantities of chemical intermediates and specialties. Potentially, the impact of these productions on the environment could have been much worse than it is, if a continuous efforts hadn’t been spent to improve the technologies employed. Substantial technological innovations have driven the development of new catalytic systems, the improvement of reactions and process technologies, contributing to move the chemical industry in the direction of a more sustainable and ecological approach. The roadmap for the application of these concepts includes new synthetic strategies, alternative reactants, catalysts heterogenisation and innovative reactor configurations and process design. Actually, in order to implement all these ideas into real projects, the development of more efficient reactions is one primary target. Yield, selectivity and space-time yield are the right metrics for evaluating the reaction efficiency. In the case of catalytic selective oxidation, the control of selectivity has always been the principal issue, because the formation of total oxidation products (carbon oxides) is thermodynamically more favoured than the formation of the desired, partially oxidized compound. As a matter of fact, only in few oxidation reactions a total, or close to total, conversion is achieved, and usually the selectivity is limited by the formation of by-products or co-products, that often implies unfavourable process economics; moreover, sometimes the cost of the oxidant further penalizes the process. During my PhD work, I have investigated four reactions that are emblematic of the new approaches used in the chemical industry. In the Part A of my thesis, a new process aimed at a more sustainable production of menadione (vitamin K3) is described. The “greener” approach includes the use of hydrogen peroxide in place of chromate (from a stoichiometric oxidation to a catalytic oxidation), also avoiding the production of dangerous waste. Moreover, I have studied the possibility of using an heterogeneous catalytic system, able to efficiently activate hydrogen peroxide. Indeed, the overall process would be carried out in two different steps: the first is the methylation of 1-naphthol with methanol to yield 2-methyl-1-naphthol, the second one is the oxidation of the latter compound to menadione. The catalyst for this latter step, the reaction object of my investigation, consists of Nb2O5-SiO2 prepared with the sol-gel technique. The catalytic tests were first carried out under conditions that simulate the in-situ generation of hydrogen peroxide, that means using a low concentration of the oxidant. Then, experiments were carried out using higher hydrogen peroxide concentration. The study of the reaction mechanism was fundamental to get indications about the best operative conditions, and improve the selectivity to menadione. In the Part B, I explored the direct oxidation of benzene to phenol with hydrogen peroxide. The industrial process for phenol is the oxidation of cumene with oxygen, that also co-produces acetone. This can be considered a case of how economics could drive the sustainability issue; in fact, the new process allowing to obtain directly phenol, besides avoiding the co-production of acetone (a burden for phenol, because the market requirements for the two products are quite different), might be economically convenient with respect to the conventional process, if a high selectivity to phenol were obtained. Titanium silicalite-1 (TS-1) is the catalyst chosen for this reaction. Comparing the reactivity results obtained with some TS-1 samples having different chemical-physical properties, and analyzing in detail the effect of the more important reaction parameters, we could formulate some hypothesis concerning the reaction network and mechanism. Part C of my thesis deals with the hydroxylation of phenol to hydroquinone and catechol. This reaction is already industrially applied but, for economical reason, an improvement of the selectivity to the para di-hydroxilated compound and a decrease of the selectivity to the ortho isomer would be desirable. Also in this case, the catalyst used was the TS-1. The aim of my research was to find out a method to control the selectivity ratio between the two isomers, and finally to make the industrial process more flexible, in order to adapt the process performance in function of fluctuations of the market requirements. The reaction was carried out in both a batch stirred reactor and in a re-circulating fixed-bed reactor. In the first system, the effect of various reaction parameters on catalytic behaviour was investigated: type of solvent or co-solvent, and particle size. With the second reactor type, I investigated the possibility to use a continuous system, and the catalyst shaped in extrudates (instead of powder), in order to avoid the catalyst filtration step. Finally, part D deals with the study of a new process for the valorisation of glycerol, by means of transformation into valuable chemicals. This molecule is nowadays produced in big amount, being a co-product in biodiesel synthesis; therefore, it is considered a raw material from renewable resources (a bio-platform molecule). Initially, we tested the oxidation of glycerol in the liquid-phase, with hydrogen peroxide and TS-1. However, results achieved were not satisfactory. Then we investigated the gas-phase transformation of glycerol into acrylic acid, with the intermediate formation of acrolein; the latter can be obtained by dehydration of glycerol, and then can be oxidized into acrylic acid. Actually, the oxidation step from acrolein to acrylic acid is already optimized at an industrial level; therefore, we decided to investigate in depth the first step of the process. I studied the reactivity of heterogeneous acid catalysts based on sulphated zirconia. Tests were carried out both in aerobic and anaerobic conditions, in order to investigate the effect of oxygen on the catalyst deactivation rate (one main problem usually met in glycerol dehydration). Finally, I studied the reactivity of bifunctional systems, made of Keggin-type polyoxometalates, either alone or supported over sulphated zirconia, in this way combining the acid functionality (necessary for the dehydrative step) with the redox one (necessary for the oxidative step). In conclusion, during my PhD work I investigated reactions that apply the “green chemistry” rules and strategies; in particular, I studied new greener approaches for the synthesis of chemicals (Part A and Part B), the optimisation of reaction parameters to make the oxidation process more flexible (Part C), and the use of a bioplatform molecule for the synthesis of a chemical intermediate (Part D).

Development of original analytical methods for the therapeutic drug monitoring of CNS druges: Antipsychotics, Antidepressants and Anxiolytics-hypnotics

Great strides have been made in the last few years in the pharmacological treatment of neuropsychiatric disorders, with the introduction into the therapy of several new and more efficient agents, which have improved the quality of life of many patients. Despite these advances, a large percentage of patients is still considered “non-responder” to the therapy, not drawing any benefits from it. Moreover, these patients have a peculiar therapeutic profile, due to the very frequent application of polypharmacy, attempting to obtain satisfactory remission of the multiple aspects of psychiatric syndromes. Therapy is heavily individualised and switching from one therapeutic agent to another is quite frequent. One of the main problems of this situation is the possibility of unwanted or unexpected pharmacological interactions, which can occur both during polypharmacy and during switching. Simultaneous administration of psychiatric drugs can easily lead to interactions if one of the administered compounds influences the metabolism of the others. Impaired CYP450 function due to inhibition of the enzyme is frequent. Other metabolic pathways, such as glucuronidation, can also be influenced. The Therapeutic Drug Monitoring (TDM) of psychotropic drugs is an important tool for treatment personalisation and optimisation. It deals with the determination of parent drugs and metabolites plasma levels, in order to monitor them over time and to compare these findings with clinical data. This allows establishing chemical-clinical correlations (such as those between administered dose and therapeutic and side effects), which are essential to obtain the maximum therapeutic efficacy, while minimising side and toxic effects. It is evident the importance of developing sensitive and selective analytical methods for the determination of the administered drugs and their main metabolites, in order to obtain reliable data that can correctly support clinical decisions. During the three years of Ph.D. program, some analytical methods based on HPLC have been developed, validated and successfully applied to the TDM of psychiatric patients undergoing treatment with drugs belonging to following classes: antipsychotics, antidepressants and anxiolytic-hypnotics. The biological matrices which have been processed were: blood, plasma, serum, saliva, urine, hair and rat brain. Among antipsychotics, both atypical and classical agents have been considered, such as haloperidol, chlorpromazine, clotiapine, loxapine, risperidone (and 9-hydroxyrisperidone), clozapine (as well as N-desmethylclozapine and clozapine N-oxide) and quetiapine. While the need for an accurate TDM of schizophrenic patients is being increasingly recognized by psychiatrists, only in the last few years the same attention is being paid to the TDM of depressed patients. This is leading to the acknowledgment that depression pharmacotherapy can greatly benefit from the accurate application of TDM. For this reason, the research activity has also been focused on first and second-generation antidepressant agents, like triciclic antidepressants, trazodone and m-chlorophenylpiperazine (m-cpp), paroxetine and its three main metabolites, venlafaxine and its active metabolite, and the most recent antidepressant introduced into the market, duloxetine. Among anxiolytics-hypnotics, benzodiazepines are very often involved in the pharmacotherapy of depression for the relief of anxious components; for this reason, it is useful to monitor these drugs, especially in cases of polypharmacy. The results obtained during these three years of Ph.D. program are reliable and the developed HPLC methods are suitable for the qualitative and quantitative determination of CNS drugs in biological fluids for TDM purposes.

Calibrazione di modelli idrologici con algoritmi multiobiettivo

Traditional procedures for rainfall-runoff model calibration are generally based on the fit of the individual values of simulated and observed hydrographs. It is used here an alternative option that is carried out by matching, in the optimisation process, a set of statistics of the river flow. Such approach has the additional, significant advantage to allow also a straightforward regional calibration of the model parameters, based on the regionalisation of the selected statistics. The minimisation of the set of objective functions is carried out by using the AMALGAM algorithm, leading to the identification of behavioural parameter sets. The procedure is applied to a set of river basins located in central Italy: the basins are treated alternatively as gauged and ungauged and, as a term of comparison, the results obtained with a traditional time-domain calibration is also presented. The results show that a suitable choice of the statistics to be optimised leads to interesting results in real world case studies as far as the reproduction of the different flow regimes is concerned.

Multi-level models and infrastructures for simulating biological system development

The hierarchical organisation of biological systems plays a crucial role in the pattern formation of gene expression resulting from the morphogenetic processes, where autonomous internal dynamics of cells, as well as cell-to-cell interactions through membranes, are responsible for the emergent peculiar structures of the individual phenotype. Being able to reproduce the systems dynamics at different levels of such a hierarchy might be very useful for studying such a complex phenomenon of self-organisation. The idea is to model the phenomenon in terms of a large and dynamic network of compartments, where the interplay between inter-compartment and intra-compartment events determines the emergent behaviour resulting in the formation of spatial patterns. According to these premises the thesis proposes a review of the different approaches already developed in modelling developmental biology problems, as well as the main models and infrastructures available in literature for modelling biological systems, analysing their capabilities in tackling multi-compartment / multi-level models. The thesis then introduces a practical framework, MS-BioNET, for modelling and simulating these scenarios exploiting the potential of multi-level dynamics. This is based on (i) a computational model featuring networks of compartments and an enhanced model of chemical reaction addressing molecule transfer, (ii) a logic-oriented language to flexibly specify complex simulation scenarios, and (iii) a simulation engine based on the many-species/many-channels optimised version of Gillespie’s direct method. The thesis finally proposes the adoption of the agent-based model as an approach capable of capture multi-level dynamics. To overcome the problem of parameter tuning in the model, the simulators are supplied with a module for parameter optimisation. The task is defined as an optimisation problem over the parameter space in which the objective function to be minimised is the distance between the output of the simulator and a target one. The problem is tackled with a metaheuristic algorithm. As an example of application of the MS-BioNET framework and of the agent-based model, a model of the first stages of Drosophila Melanogaster development is realised. The model goal is to generate the early spatial pattern of gap gene expression. The correctness of the models is shown comparing the simulation results with real data of gene expression with spatial and temporal resolution, acquired in free on-line sources.

Design and Setup of a New HPGe Detector Based Body Counter Capable of Detecting Also Low Energy Photon Emitters

The present work describes the development of a new body-counter system based on HPGe detectors and installed at IVM of KIT. The goal, achieved, was the improvement of the ability to detect internal contaminations in the human body, especially the ones concerning low-energy emitters and multiple nuclides. The development of the system started with the characterisation of detectors purchased for this specific task, with the optimisation of the different desired measurement configurations following and ending with the installation and check of the results. A new software has been developed to handle the new detectors.

Cache-aware development of high integrity real-time systems

Cost, performance and availability considerations are forcing even the most conservative high-integrity embedded real-time systems industry to migrate from simple hardware processors to ones equipped with caches and other acceleration features. This migration disrupts the practices and solutions that industry had developed and consolidated over the years to perform timing analysis. Industry that are confident with the efficiency/effectiveness of their verification and validation processes for old-generation processors, do not have sufficient insight on the effects of the migration to cache-equipped processors. Caches are perceived as an additional source of complexity, which has potential for shattering the guarantees of cost- and schedule-constrained qualification of their systems. The current industrial approach to timing analysis is ill-equipped to cope with the variability incurred by caches. Conversely, the application of advanced WCET analysis techniques on real-world industrial software, developed without analysability in mind, is hardly feasible. We propose a development approach aimed at minimising the cache jitters, as well as at enabling the application of advanced WCET analysis techniques to industrial systems. Our approach builds on:(i) identification of those software constructs that may impede or complicate timing analysis in industrial-scale systems; (ii) elaboration of practical means, under the model-driven engineering (MDE) paradigm, to enforce the automated generation of software that is analyzable by construction; (iii) implementation of a layout optimisation method to remove cache jitters stemming from the software layout in memory, with the intent of facilitating incremental software development, which is of high strategic interest to industry. The integration of those constituents in a structured approach to timing analysis achieves two interesting properties: the resulting software is analysable from the earliest releases onwards - as opposed to becoming so only when the system is final - and more easily amenable to advanced timing analysis by construction, regardless of the system scale and complexity.

Ricerca sulle Caratteristiche di Filtrabilità della Birra e Ottimizzazione del Processo di Filtrazione

Il presente lavoro ha avuto lo scopo di identificare le caratteristiche di filtrabilità della birra attraverso lo svolgimento di prove tecnologiche di filtrazione in scala di laboratorio e su scala pilota, utilizzando diverse tipologie di sistemi filtranti e sperimentando diversi materiali di membrana. La fase preliminare della caratterizzazione della filtrabilità della birra è stata condotta presso i laboratori del Campden-BRI – The Brewing Research International, Inghilterra, mentre le prove tecnologiche su scala pilota si sono svolte presso il CERB – Centro di Eccellenza per la Ricerca sulla Birra. Le prove di filtrazione e le analisi sui campioni hanno permesso di verificare le performance delle diverse membrane utilizzate in risposta alla variazione dei principali parametri del processo di filtrazione tangenziale. Sono stati analizzati diversi parametri di qualità della birra filtrata attraverso il monitoraggio del processo e lo svolgimento di prove analitiche sul prodotto volte ad evidenziare gli effetti delle differenti tecnologie adottate. Per quanto riguarda le prove di laboratorio per la caratterizzazione della filtrabilità della birra, l’analisi della PCS (Photon Correlation Spectroscopy) è stata utilizzata per verificare l’influenza di diversi trattamenti enzimatici sulla efficienza del processo di filtrazione e la loro influenza sulla stabilità colloidale della birra filtrata. Dai risultati ottenuti è emerso che il PCS è un valido strumento per determinare la distribuzione in classi di diametro e il diametro medio effettivo delle particelle solide in sospensione nella birra e può essere utilizzato sia per predire la stabilità della birra filtrata, sia per monitorare il processo di filtrazione in tempo reale.

Mathematical Optimization Applied to Thermal and Electrical Energy Systems

This Thesis aims at building and discussing mathematical models applications focused on Energy problems, both on the thermal and electrical side. The objective is to show how mathematical programming techniques developed within Operational Research can give useful answers in the Energy Sector, how they can provide tools to support decision making processes of Companies operating in the Energy production and distribution and how they can be successfully used to make simulations and sensitivity analyses to better understand the state of the art and convenience of a particular technology by comparing it with the available alternatives. The first part discusses the fundamental mathematical background followed by a comprehensive literature review about mathematical modelling in the Energy Sector. The second part presents mathematical models for the District Heating strategic network design and incremental network design. The objective is the selection of an optimal set of new users to be connected to an existing thermal network, maximizing revenues, minimizing infrastructure and operational costs and taking into account the main technical requirements of the real world application. Results on real and randomly generated benchmark networks are discussed with particular attention to instances characterized by big networks dimensions. The third part is devoted to the development of linear programming models for optimal battery operation in off-grid solar power schemes, with consideration of battery degradation. The key contribution of this work is the inclusion of battery degradation costs in the optimisation models. As available data on relating degradation costs to the nature of charge/discharge cycles are limited, we concentrate on investigating the sensitivity of operational patterns to the degradation cost structure. The objective is to investigate the combination of battery costs and performance at which such systems become economic. We also investigate how the system design should change when battery degradation is taken into account.