Role of BDNF secretion and signaling in the activity-dependent refinement of synaptic connections

Neuronal networks exhibit diverse types of plasticity, including the activity-dependent regulation of synaptic functions and refinement of synaptic connections. In addition, continuous generation of new neurons in the “adult” brain (adult neurogenesis) represents a powerful form of structural plasticity establishing new connections and possibly implementing pre-existing neuronal circuits (Kempermann et al, 2000; Ming and Song, 2005). Neurotrophins, a family of neuronal growth factors, are crucially involved in the modulation of activity-dependent neuronal plasticity. The first evidence for the physiological importance of this role evolved from the observations that the local administration of neurotrophins has dramatic effects on the activity-dependent refinement of synaptic connections in the visual cortex (McAllister et al, 1999; Berardi et al, 2000; Thoenen, 1995). Moreover, the local availability of critical amounts of neurotrophins appears to be relevant for the ability of hippocampal neurons to undergo long-term potentiation (LTP) of the synaptic transmission (Lu, 2004; Aicardi et al, 2004). To achieve a comprehensive understanding of the modulatory role of neurotrophins in integrated neuronal systems, informations on the mechanisms about local neurotrophins synthesis and secretion as well as ditribution of their cognate receptors are of crucial importance. In the first part of this doctoral thesis I have used electrophysiological approaches and real-time imaging tecniques to investigate additional features about the regulation of neurotrophins secretion, namely the capability of the neurotrophin brain-derived neurotrophic factor (BDNF) to undergo synaptic recycling. In cortical and hippocampal slices as well as in dissociated cell cultures, neuronal activity rapidly enhances the neuronal expression and secretion of BDNF which is subsequently taken up by neurons themselves but also by perineuronal astrocytes, through the selective activation of BDNF receptors. Moreover, internalized BDNF becomes part of the releasable source of the neurotrophin, which is promptly recruited for activity-dependent recycling. Thus, we described for the first time that neurons and astrocytes contain an endocytic compartment competent for BDNF recycling, suggesting a specialized form of bidirectional communication between neurons and glia. The mechanism of BDNF recycling is reminiscent of that for neurotransmitters and identifies BDNF as a new modulator implicated in neuro- and glio-transmission. In the second part of this doctoral thesis I addressed the role of BDNF signaling in adult hippocampal neurogenesis. I have generated a transgenic mouse model to specifically investigate the influence of BDNF signaling on the generation, differentiation, survival and connectivity of newborn neurons into the adult hippocampal network. I demonstrated that the survival of newborn neurons critically depends on the activation of the BDNF receptor TrkB. The TrkB-dependent decision regarding life or death in these newborn neurons takes place right at the transition point of their morphological and functional maturation Before newborn neurons start to die, they exhibit a drastic reduction in dendritic complexity and spine density compared to wild-type newborn neurons, indicating that this receptor is required for the connectivity of newborn neurons. Both the failure to become integrated and subsequent dying lead to impaired LTP. Finally, mice lacking a functional TrkB in the restricted population of newborn neurons show behavioral deficits, namely increased anxiety-like behavior. These data suggest that the integration and establishment of proper connections by newly generated neurons into the pre-existing network are relevant features for regulating the emotional state of the animal.

Specification, execution and verification of interaction protocols: an approach based on computational logic

Interaction protocols establish how different computational entities can interact with each other. The interaction can be finalized to the exchange of data, as in 'communication protocols', or can be oriented to achieve some result, as in 'application protocols'. Moreover, with the increasing complexity of modern distributed systems, protocols are used also to control such a complexity, and to ensure that the system as a whole evolves with certain features. However, the extensive use of protocols has raised some issues, from the language for specifying them to the several verification aspects. Computational Logic provides models, languages and tools that can be effectively adopted to address such issues: its declarative nature can be exploited for a protocol specification language, while its operational counterpart can be used to reason upon such specifications. In this thesis we propose a proof-theoretic framework, called SCIFF, together with its extensions. SCIFF is based on Abductive Logic Programming, and provides a formal specification language with a clear declarative semantics (based on abduction). The operational counterpart is given by a proof procedure, that allows to reason upon the specifications and to test the conformance of given interactions w.r.t. a defined protocol. Moreover, by suitably adapting the SCIFF Framework, we propose solutions for addressing (1) the protocol properties verification (g-SCIFF Framework), and (2) the a-priori conformance verification of peers w.r.t. the given protocol (AlLoWS Framework). We introduce also an agent based architecture, the SCIFF Agent Platform, where the same protocol specification can be used to program and to ease the implementation task of the interacting peers.

Natural patterns and anthropogenic disturbance in north Adriatic marine benthic assemblages: descriptive and methodological studies

Marine soft bottom systems show a high variability across multiple spatial and temporal scales. Both natural and anthropogenic sources of disturbance act together in affecting benthic sedimentary characteristics and species distribution. The description of such spatial variability is required to understand the ecological processes behind them. However, in order to have a better estimate of spatial patterns, methods that take into account the complexity of the sedimentary system are required. This PhD thesis aims to give a significant contribution both in improving the methodological approaches to the study of biological variability in soft bottom habitats and in increasing the knowledge of the effect that different process (both natural and anthropogenic) could have on the benthic communities of a large area in the North Adriatic Sea. Beta diversity is a measure of the variability in species composition, and Whittaker’s index has become the most widely used measure of beta-diversity. However, application of the Whittaker index to soft bottom assemblages of the Adriatic Sea highlighted its sensitivity to rare species (species recorded in a single sample). This over-weighting of rare species induces biased estimates of the heterogeneity, thus it becomes difficult to compare assemblages containing a high proportion of rare species. In benthic communities, the unusual large number of rare species is frequently attributed to a combination of sampling errors and insufficient sampling effort. In order to reduce the influence of rare species on the measure of beta diversity, I have developed an alternative index based on simple probabilistic considerations. It turns out that this probability index is an ordinary Michaelis-Menten transformation of Whittaker's index but behaves more favourably when species heterogeneity increases. The suggested index therefore seems appropriate when comparing patterns of complexity in marine benthic assemblages. Although the new index makes an important contribution to the study of biodiversity in sedimentary environment, it remains to be seen which processes, and at what scales, influence benthic patterns. The ability to predict the effects of ecological phenomena on benthic fauna highly depends on both spatial and temporal scales of variation. Once defined, implicitly or explicitly, these scales influence the questions asked, the methodological approaches and the interpretation of results. Problem often arise when representative samples are not taken and results are over-generalized, as can happen when results from small-scale experiments are used for resource planning and management. Such issues, although globally recognized, are far from been resolved in the North Adriatic Sea. This area is potentially affected by both natural (e.g. river inflow, eutrophication) and anthropogenic (e.g. gas extraction, fish-trawling) sources of disturbance. Although few studies in this area aimed at understanding which of these processes mainly affect macrobenthos, these have been conducted at a small spatial scale, as they were designated to examine local changes in benthic communities or particular species. However, in order to better describe all the putative processes occurring in the entire area, a high sampling effort performed at a large spatial scale is required. The sedimentary environment of the western part of the Adriatic Sea was extensively studied in this thesis. I have described, in detail, spatial patterns both in terms of sedimentary characteristics and macrobenthic organisms and have suggested putative processes (natural or of human origin) that might affect the benthic environment of the entire area. In particular I have examined the effect of off shore gas platforms on benthic diversity and tested their effect over a background of natural spatial variability. The results obtained suggest that natural processes in the North Adriatic such as river outflow and euthrophication show an inter-annual variability that might have important consequences on benthic assemblages, affecting for example their spatial pattern moving away from the coast and along a North to South gradient. Depth-related factors, such as food supply, light, temperature and salinity play an important role in explaining large scale benthic spatial variability (i.e., affecting both the abundance patterns and beta diversity). Nonetheless, more locally, effects probably related to an organic enrichment or pollution from Po river input has been observed. All these processes, together with few human-induced sources of variability (e.g. fishing disturbance), have a higher effect on macrofauna distribution than any effect related to the presence of gas platforms. The main effect of gas platforms is restricted mainly to small spatial scales and related to a change in habitat complexity due to a natural dislodgement or structure cleaning of mussels that colonize their legs. The accumulation of mussels on the sediment reasonably affects benthic infauna composition. All the components of the study presented in this thesis highlight the need to carefully consider methodological aspects related to the study of sedimentary habitats. With particular regards to the North Adriatic Sea, a multi-scale analysis along natural and anthopogenic gradients was useful for detecting the influence of all the processes affecting the sedimentary environment. In the future, applying a similar approach may lead to an unambiguous assessment of the state of the benthic community in the North Adriatic Sea. Such assessment may be useful in understanding if any anthropogenic source of disturbance has a negative effect on the marine environment, and if so, planning sustainable strategies for a proper management of the affected area.

Oxylipins biosynthesis in Lactobacillus helveticus in the presence of oxidative stress

This PhD thesis is aimed at studying the possible pathways and the mechanisms that can trigger oxylipins biosynthesis, and particularly that of short chain aldehydes and alcohols, in Lactobacillus helveticus, also in the presence of oxidative stress, using a totally labelled linoleic acid as precursor. In plants and fungi these molecules, involved in defence mechanisms against pathogens and in communication systems, derive from the oxidation of cellular unsaturated fatty acids (UFAs) and their accumulation is associated with stress exposure. Since some oxylipins are produced also by lactobacilli, it is possible to hypothesize that a metabolic pathway from UFAs to oxylipins, similar to what happens in plants and fungi, is present also in lactic acid bacteria. The results obtained pointed out that some volatile molecules are the result of UFAs catabolism, since they appear only when cells are incubated in their presence. Labelled linoleic acid is integrated in the membrane and subsequently transformed into aldehydes and alcohols, whose extent and carbon atoms number depend on stress exposure. The enzymes responsible for this metabolic pathway in plants and fungi (e.g. lipoxygenase, dioxygenase) seem to be absent in Lactobacillus helveticus and in other lactobacilli. Proteomic analyses show the over expression of many proteins, including thioredoxin reductase (part of the bacterial oxidative defence system), mainly in cells grown with linoleic acid without oxidative stress exposure, confirming that linoleic acid itself induces oxidative stress. 6 general oxidoreductases (class including dioxygenases and peroxidase) were found and therefore a deeper investigation on them could be productive in elucidating all steps involved in oxylipins biosynthesis in bacteria. Due to the multiple role of oxylipins (flavouring agents, antimicrobial compounds and interspecific signalling molecules) the identification of genes involved and regulating factors should have an important biotechnological impact, also allowing the overproduction of selected bioactive molecules.

L’«educativo» in sanità: reti di complessità e orizzonti di possibilità

La tesi analizza il dialogo tra due prospettive disciplinari: pedagogia e scienze mediche aprendo ad una serie di riflessioni operative e metodologiche per lo sviluppo della competenza educativa in sanità. Si tratta di un lavoro di ricerca pedagogica articolata in due parti:una teoretica e una empirica. La prima parte pone l’attenzione in modo particolare all’epistemologia della cura sanitaria nella prospettiva della complessità e agli elementi che definiscono la competenza educativa degli operatori. La seconda parte presenta i dati di una indagine esplorativa realizzata tramite focus group che ha coinvolto medici, infermieri, ostetriche e fisioterapisti della provincia di Bologna e medici, infermieri e fisioterapisti del Canton Ticino, Svizzera per far emergere le esperienze, i vissuti e le opinioni legate alle azioni educative sanitarie

Photoactive (supra)molecular devices in double layer membranes

Biological systems are complex and highly organized architectures governed by non-covalent interactions responsible for the regulation of essential tasks in all living organisms. These systems are a constant source of inspiration for supramolecular chemists aiming to design multicomponent molecular assemblies able to perform elaborated tasks, thanks to the role and action of the components that constitute them. Artificial supramolecular systems exploit non-covalent interactions to mimic naturally occurring events. In this context, stimuli-responsive supramolecular systems have attracted attention due to the possibility to control macroscopic effects through modifications at the nanoscale. This thesis is divided in three experimental chapters, characterized by a progressive increase in molecular complexity. Initially, the preparation and studies of liposomes functionalized with a photoactive guest such as azobenzene in the bilayer were tackled, in order to evaluate the effect of such photochrome on the vesicle properties. Subsequently, the synthesis and studies of thread-like molecules comprising an azobenzene functionality was reported. Such molecules were conceived to be intercalated in the bilayer membrane of liposomes with the aim to be used as components for photoresponsive transmembrane molecular pumps. Finally, a [3]rotaxane was developed and studied in solution. This system is composed of two crown ether rings interlocked with an axle containing three recognition sites for the macrocycles, i.e. two pH-switchable ammonium stations and a permanent triazolium station. Such molecule was designed to achieve a change in the ratio between the recognition sites and the crown ethers as a consequence of acid-base inputs. This leads to the formation of rotaxanes containing a number of recognition sites respectively larger, equal or lower than the number of interlocked rings and connected by a network of acid-base reactions.

Network analysis and machine learning assist drug repurposing and safety assessment in neurological diseases

In recent decades, two prominent trends have influenced the data modeling field, namely network analysis and machine learning. This thesis explores the practical applications of these techniques within the domain of drug research, unveiling their multifaceted potential for advancing our comprehension of complex biological systems. The research undertaken during this PhD program is situated at the intersection of network theory, computational methods, and drug research. Across six projects presented herein, there is a gradual increase in model complexity. These projects traverse a diverse range of topics, with a specific emphasis on drug repurposing and safety in the context of neurological diseases. The aim of these projects is to leverage existing biomedical knowledge to develop innovative approaches that bolster drug research. The investigations have produced practical solutions, not only providing insights into the intricacies of biological systems, but also allowing the creation of valuable tools for their analysis. In short, the achievements are: • A novel computational algorithm to identify adverse events specific to fixed-dose drug combinations. • A web application that tracks the clinical drug research response to SARS-CoV-2. • A Python package for differential gene expression analysis and the identification of key regulatory "switch genes". • The identification of pivotal events causing drug-induced impulse control disorders linked to specific medications. • An automated pipeline for discovering potential drug repurposing opportunities. • The creation of a comprehensive knowledge graph and development of a graph machine learning model for predictions. Collectively, these projects illustrate diverse applications of data science and network-based methodologies, highlighting the profound impact they can have in supporting drug research activities.

Per un'etica della letteratura: la cornice il doppio legame nell'opera di J. M. Coetzee

The elusive fiction of J. M. Coetzee is not a work in which you can read fixed ethical stances. I suggest testing the potentialities of a logic based on frames and double binds in Coetzee's novels. A double bind is a dilemma in communication which consists on tho conflicting messages, with the result that you can’t successfully respond to neither. Jacques Derrida highlighted the strategic value of a way of thinking based on the double bind (but on frames as well), which enables to escape binary thinking and so it opens an ethical space, where you can make a choice out of a set of fixed rules and take responsibility for it. In Coetzee’s fiction the author himself can be considered in a double bind, seeing that he is a white South African writer who feels that his “task” can’t be as simply as choosing to represent faithfully the violence and the racism of the apartheid or of choosing to give a voice to the oppressed. Good intentions alone do not ensure protection against entering unwittingly into complicity with the dominant discourse, and this is why is important to make the frame in which one is always situated clearly visible and explicit. The logic of the double bind becomes the way in which moral problem are staged in Coetzee’s fiction as well: the opportunity to give a voice to the oppressed through the same language which co-opted to serve the cause of oppression, a relation with the otherness never completed, or the representability of evil in literature, of the secret and of the paradoxical implications of confession and forgiveness.

Il ruolo della metafora nella comunicazione della fisica contemporanea

Il presente lavoro si rivolge all’analisi del ruolo delle forme metaforiche nella divulgazione della fisica contemporanea. Il focus è sugli aspetti cognitivi: come possiamo spiegare concetti fisici formalmente complessi ad un audience di non-esperti senza ‘snaturarne’ i significati disciplinari (comunicazione di ‘buona fisica’)? L’attenzione è sulla natura stessa della spiegazione e il problema riguarda la valutazione dell’efficacia della spiegazione scientifica a non-professionisti. Per affrontare tale questione, ci siamo orientati alla ricerca di strumenti formali che potessero supportarci nell’analisi linguistica dei testi. La nostra attenzione si è rivolta al possibile ruolo svolto dalle forme metaforiche nella costruzione di significati disciplinarmente validi. Si fa in particolare riferimento al ruolo svolto dalla metafora nella comprensione di nuovi significati a partire da quelli noti, aspetto fondamentale nel caso dei fenomeni di fisica contemporanea che sono lontani dalla sfera percettiva ordinaria. In particolare, è apparsa particolarmente promettente come strumento di analisi la prospettiva della teoria della metafora concettuale. Abbiamo allora affrontato il problema di ricerca analizzando diverse forme metaforiche di particolare rilievo prese da testi di divulgazione di fisica contemporanea. Nella tesi viene in particolare discussa l’analisi di un case-study dal punto di vista della metafora concettuale: una analogia di Schrödinger per la particella elementare. I risultati dell’analisi suggeriscono che la metafora concettuale possa rappresentare uno strumento promettente sia per la valutazione della qualità delle forme analogiche e metaforiche utilizzate nella spiegazione di argomenti di fisica contemporanea che per la creazione di nuove e più efficaci metafore. Inoltre questa prospettiva di analisi sembra fornirci uno strumento per caratterizzare il concetto stesso di ‘buona fisica’. Riteniamo infine che possano emergere altri risultati di ricerca interessanti approfondendo l’approccio interdisciplinare tra la linguistica e la fisica.

Sviluppo di un framework per l'automazione dei test al banco e la prototipazione di algoritmi di controllo di motori a combustione interna

Negli ultimi anni, i limiti sempre più stringenti sulle emissioni inquinanti dei gas di scarico, hanno portato ad un notevole aumento della complessità dei motori a combustione interna. Questa complicazione determina un aumento esponenziale del numero di test da effettuare nella sala prova. I metodi tipici di gestione dei test non possono più essere utilizzati, ma è essenziale creare un sistema che ottimizzi le prove. Per ridurre drasticamente il tempo di esecuzione, è necessario implementare un'architettura in grado di facilitare lo scambio di dati tra i sistemi presenti nella sala prova, e, in aggiunta, definire le strategie di automazione dei test. L'approccio a taluni metodi si presenta ancora complicato in molti gruppi di sviluppo di strategie di controllo motore, anche se, una volta sviluppati, portano e a grandi benefici durante la fase di test. Il lavoro illustra i metodi implementati per la gestione di queste strategie. Prima si descrive l'approccio utilizzato nella calibrazione di anticipo di accensione per mantenere livelli accettabili di detonazione durante il processo di calibrazione. Successivamente è mostrato il sistema di automazione dei test che consente il pieno controllo del punto di funzionamento del motore, la gestione dell'acquisizione e la verifica della stabilità delle condizioni ottenute. L'ultima parte mostra sistemi di prototipazione rapida per la gestione di componenti innovatici del motore.

Design, production and testing of innovative key components of HEV/BEV powertrains

Through modelling activity, experimental campaigns, test bench and on-field validation, a complete powertrain for a BEV has been designed, assembled and used in a motorsport competition. The activity can be split in three main subjects, representing the three key components of an BEV vehicle. First of all a model of the entire powertrain has been developed in order to understand how the various design choices will influence the race lap-time. The data obtained was then used to design, build and test a first battery pack. After bench tests and track tests, it was understood that by using all the cell charac-teristics, without breaking the rules limitations, higher energy and power densities could have been achieved. An updated battery pack was then designed, produced and raced with at Motostudent 2018 re-sulting in a third place at debut. The second topic of this PhD was the design of novel inverter topologies. Three inverters have been de-signed, two of them using Gallium Nitride devices, a promising semiconductor technology that can achieve high switching speeds while maintaining low switching losses. High switching frequency is crucial to reduce the DC-Bus capacitor and then increase the power density of 3 phase inverters. The third in-verter uses classic Silicon devices but employs a ZVS (Zero Voltage Switching) topology. Despite the in-creased complexity of both the hardware and the control software, it can offer reduced switching losses by using conventional and established silicon mosfet technology. Finally, the mechanical parts of a three phase permanent magnet motor have been designed with the aim to employ it in UniBo Motorsport’s 2020 Formula Student car.

Variety, flexibility, and use of abstract concepts. A multiple grounded perspective.

The nature of concepts is a matter of intense debate in cognitive sciences. While traditional views claim that conceptual knowledge is represented in a unitary symbolic system, recent Embodied and Grounded Cognition theories (EGC) submit the idea that conceptual system is couched in our body and influenced by the environment (Barsalou, 2008). One of the major challenges for EGC is constituted by abstract concepts (ACs), like fantasy. Recently, some EGC proposals addressed this criticism, arguing that the ACs comprise multifaced exemplars that rely on different grounding sources beyond sensorimotor one, including interoception, emotions, language, and sociality (Borghi et al., 2018). However, little is known about how ACs representation varies as a function of life experiences and their use in communication. The theoretical arguments and empirical studies comprised in this dissertation aim to provide evidence on multiple grounding of ACs taking into account their varieties and flexibility. Study I analyzed multiple ratings on a large sample of ACs and identified four distinct subclusters. Study II validated this classification with an interference paradigm involving motor/manual, interoceptive, and linguistic systems during a difficulty rating task. Results confirm that different grounding sources are activated depending on ACs kind. Study III-IV investigate the variability of institutional concepts, showing that the higher the law expertise level, the stronger the concrete/emotional determinants in their representation. Study V introduced a novel interactive task in which abstract and concrete sentences serve as cues to simulate conversation. Analysis of language production revealed that the uncertainty and interactive exchanges increase with abstractness, leading to generating more questions/requests for clarifications with abstract than concrete sentences. Overall, results confirm that ACs are multidimensional, heterogeneous, and flexible constructs and that social and linguistic interactions are crucial to shaping their meanings. Investigating ACs in real-time dialogues may be a promising direction for future research.

La nuova eGovernance sanitaria europea: verso una piena integrazione della digitalizzazione nei sistemi sanitari degli Stati membri

L’elaborato approfondisce il diritto alla salute nell’ordinamento dell’Unione europea, con la consapevolezza che il settore della sanità, nella complessità di una tensione perdurante tra la sua matrice sociale e l’applicazione di logiche europee di mercato, rappresenta un ambito da sempre sottratto all’intervento diretto e vincolante delle istituzioni. Contemporaneamente, prende spunto dall’osservazione della transizione digitale dei sistemi sanitari nazionali per proporre una rilettura dei tradizionali equilibri istituzionali tra ordinamenti e constatare il grado di influenza dell’Unione oltre la dimensione transfrontaliera. Infatti, per le attuali esigenze di sostenibilità dei sistemi di tutela della salute e per il valore aggiunto riconosciuto alle azioni europee nel corso della gestione della pandemia da Covid-19, l’eHealth ha rappresentato l’occasione per una vigorosa intrusione delle istituzioni europee entro prerogative tipicamente statuali, fino all’emersione di una eGovernance sanitaria europea. Pertanto, la trattazione compie un percorso evolutivo che muove dalla Direttiva 2011/24 sull’assistenza transfrontaliera e l’assistenza sanitaria online, in combinato disposto con il complesso degli atti di soft law connessi, per verificarne l’esiguo impatto sui sistemi sanitari degli Stati membri e, alla luce dei recenti investimenti strategici ed interventi normativi rilevanti in tema di tecnologie applicate alla sanità, riconoscerne il sostanziale superamento. In particolare, il confronto tra l’insufficiente livello di digitalizzazione raggiunto finora nei sistemi sanitari degli Stati membri ed il tenore della Proposta di regolamento sullo European Health Data Space suggerisce l’evoluzione dell’impianto di governo dei dati sanitari stabilito nella Direttiva, a partire dalla previsione di una disciplina comune sulla cartella sanitaria. A questo proposito, l’interoperabilità tra tecnologie diviene un presupposto operativo indefettibile, che corrobora la natura ‘tecnologicamente condizionata’ del diritto alla salute e propone l’idea che la sanità digitale rappresenti un passo in avanti verso un’assistenza europea uniforme.

Cooperative communication and distributed detection in wireless sensor networks

Recent progress in microelectronic and wireless communications have enabled the development of low cost, low power, multifunctional sensors, which has allowed the birth of new type of networks named wireless sensor networks (WSNs). The main features of such networks are: the nodes can be positioned randomly over a given field with a high density; each node operates both like sensor (for collection of environmental data) as well as transceiver (for transmission of information to the data retrieval); the nodes have limited energy resources. The use of wireless communications and the small size of nodes, make this type of networks suitable for a large number of applications. For example, sensor nodes can be used to monitor a high risk region, as near a volcano; in a hospital they could be used to monitor physical conditions of patients. For each of these possible application scenarios, it is necessary to guarantee a trade-off between energy consumptions and communication reliability. The thesis investigates the use of WSNs in two possible scenarios and for each of them suggests a solution that permits to solve relating problems considering the trade-off introduced. The first scenario considers a network with a high number of nodes deployed in a given geographical area without detailed planning that have to transmit data toward a coordinator node, named sink, that we assume to be located onboard an unmanned aerial vehicle (UAV). This is a practical example of reachback communication, characterized by the high density of nodes that have to transmit data reliably and efficiently towards a far receiver. It is considered that each node transmits a common shared message directly to the receiver onboard the UAV whenever it receives a broadcast message (triggered for example by the vehicle). We assume that the communication channels between the local nodes and the receiver are subject to fading and noise. The receiver onboard the UAV must be able to fuse the weak and noisy signals in a coherent way to receive the data reliably. It is proposed a cooperative diversity concept as an effective solution to the reachback problem. In particular, it is considered a spread spectrum (SS) transmission scheme in conjunction with a fusion center that can exploit cooperative diversity, without requiring stringent synchronization between nodes. The idea consists of simultaneous transmission of the common message among the nodes and a Rake reception at the fusion center. The proposed solution is mainly motivated by two goals: the necessity to have simple nodes (to this aim we move the computational complexity to the receiver onboard the UAV), and the importance to guarantee high levels of energy efficiency of the network, thus increasing the network lifetime. The proposed scheme is analyzed in order to better understand the effectiveness of the approach presented. The performance metrics considered are both the theoretical limit on the maximum amount of data that can be collected by the receiver, as well as the error probability with a given modulation scheme. Since we deal with a WSN, both of these performance are evaluated taking into consideration the energy efficiency of the network. The second scenario considers the use of a chain network for the detection of fires by using nodes that have a double function of sensors and routers. The first one is relative to the monitoring of a temperature parameter that allows to take a local binary decision of target (fire) absent/present. The second one considers that each node receives a decision made by the previous node of the chain, compares this with that deriving by the observation of the phenomenon, and transmits the final result to the next node. The chain ends at the sink node that transmits the received decision to the user. In this network the goals are to limit throughput in each sensor-to-sensor link and minimize probability of error at the last stage of the chain. This is a typical scenario of distributed detection. To obtain good performance it is necessary to define some fusion rules for each node to summarize local observations and decisions of the previous nodes, to get a final decision that it is transmitted to the next node. WSNs have been studied also under a practical point of view, describing both the main characteristics of IEEE802:15:4 standard and two commercial WSN platforms. By using a commercial WSN platform it is realized an agricultural application that has been tested in a six months on-field experimentation.

A Unitary Approach to Information and Estimation Theory in Digital Communication Systems

This thesis presents the outcomes of a Ph.D. course in telecommunications engineering. It is focused on the optimization of the physical layer of digital communication systems and it provides innovations for both multi- and single-carrier systems. For the former type we have first addressed the problem of the capacity in presence of several nuisances. Moreover, we have extended the concept of Single Frequency Network to the satellite scenario, and then we have introduced a novel concept in subcarrier data mapping, resulting in a very low PAPR of the OFDM signal. For single carrier systems we have proposed a method to optimize constellation design in presence of a strong distortion, such as the non linear distortion provided by satellites' on board high power amplifier, then we developed a method to calculate the bit/symbol error rate related to a given constellation, achieving an improved accuracy with respect to the traditional Union Bound with no additional complexity. Finally we have designed a low complexity SNR estimator, which saves one-half of multiplication with respect to the ML estimator, and it has similar estimation accuracy.