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.

L'epatite E nei suidi: epidemiologia, diagnosi e filogenesi

Hepatitis E is an infectious viral disease with clinical and morphological features of acute hepatitis. The aetiological agent is the Hepatitis E virus (HEV). The disease represents an important Public Health problem in developing countries where is frequently epidemic and primarily transmitted by fecal-oral route. In the last few years, a certain number of sporadic cases have been also described in industrialized countries, Italy included. A swine HEV was first identified in 1997 and is now considered an ubiquitous virus. Human and swine strains from the same geographical region have shown to have a high level of nucleotidic omology and in experimental infections, the possibility of interspecific transmission of swine strains to humans and of human strains to non-human primates has been demonstrated. Furthermore, some seroepidemiological studies have demonstrated that people working in contact with swine have a higher risk to get infected than normal blood donors. Recently, cases of HEV hepatitis have been directly associated to the ingestion of uncooked tissues from pigs, wild boar or deer and today the disease is considered an emerging zoonosis. The aims of this thesis were: evaluate HEV prevalence in Italian swine herds (both in fattening and in breeding animals); investigate the possibility of finding HEV in livers used for human consumption; investigate if there is any correlation between HEV infection and the presence of macroscopical lesions; investigate HEV prevalence in a demographic managed wild boar population; phylogenetically analyse viral strains identified. During an internship period at Veterinary Laboratories Agency (Weybridge, UK), furthermore, swine samples at different stages of production and slurry lagoons have been analysed. Six swine herds located in North Italy have been sampled at different stage of production. The overall prevalence resulted 42%, and both breeding and fattening animals were positive for HEV infection. A longitudinal study has been conducted in a herd across all stages of production until the slaughtering age. Livers have been collected from the animals at the abattoir and 11.8% of them were positive for HEV infection. No correlations have been identified between HEV infection and macroscopical lesions in pigs affected by different pathological conditions. Of 86 wild boars tested 22 (25%) were positive for HEV. Of the swine tested in UK 21,5 % and 2 of the 9 slurry lagoons (22,2%) were positive for HEV infection. All the strains identified belonged to genotype 3 and showed high percentages of nucleotidic identity with humans and swine strains identified in Europe. The high prevalence detected in these studies confirms the widespread diffusion of HEV in swine populations in Italy and in UK. Phylogenetical analysis of identified strains, similar to those identified in autochthonous human hepatitis E cases of the same geographical area, confirm the hypothesis that pigs can be a font of zoonotical infection. The finding that a fraction of the livers inserted in the food chain are positive for HEV infection it’s of some concern for Public Health. The finding of a high HEV prevalence in all examined farms, together with the observation that infection may be sub-clinical and affect animals at slaughtering age, raise concern because of the possible risk of transmission of HEV to humans by either direct contact with infected pigs, indirect contact with environment and working instruments contaminated with pig feces, or ingestion of contaminated undercooked meat.

Progetto di reti Sensori Wireless e tecniche di Fusione Sensoriale

Ambient Intelligence (AmI) envisions a world where smart, electronic environments are aware and responsive to their context. People moving into these settings engage many computational devices and systems simultaneously even if they are not aware of their presence. AmI stems from the convergence of three key technologies: ubiquitous computing, ubiquitous communication and natural interfaces. The dependence on a large amount of fixed and mobile sensors embedded into the environment makes of Wireless Sensor Networks one of the most relevant enabling technologies for AmI. WSN are complex systems made up of a number of sensor nodes, simple devices that typically embed a low power computational unit (microcontrollers, FPGAs etc.), a wireless communication unit, one or more sensors and a some form of energy supply (either batteries or energy scavenger modules). Low-cost, low-computational power, low energy consumption and small size are characteristics that must be taken into consideration when designing and dealing with WSNs. In order to handle the large amount of data generated by a WSN several multi sensor data fusion techniques have been developed. The aim of multisensor data fusion is to combine data to achieve better accuracy and inferences than could be achieved by the use of a single sensor alone. In this dissertation we present our results in building several AmI applications suitable for a WSN implementation. The work can be divided into two main areas: Multimodal Surveillance and Activity Recognition. Novel techniques to handle data from a network of low-cost, low-power Pyroelectric InfraRed (PIR) sensors are presented. Such techniques allow the detection of the number of people moving in the environment, their direction of movement and their position. We discuss how a mesh of PIR sensors can be integrated with a video surveillance system to increase its performance in people tracking. Furthermore we embed a PIR sensor within the design of a Wireless Video Sensor Node (WVSN) to extend its lifetime. Activity recognition is a fundamental block in natural interfaces. A challenging objective is to design an activity recognition system that is able to exploit a redundant but unreliable WSN. We present our activity in building a novel activity recognition architecture for such a dynamic system. The architecture has a hierarchical structure where simple nodes performs gesture classification and a high level meta classifiers fuses a changing number of classifier outputs. We demonstrate the benefit of such architecture in terms of increased recognition performance, and fault and noise robustness. Furthermore we show how we can extend network lifetime by performing a performance-power trade-off. Smart objects can enhance user experience within smart environments. We present our work in extending the capabilities of the Smart Micrel Cube (SMCube), a smart object used as tangible interface within a tangible computing framework, through the development of a gesture recognition algorithm suitable for this limited computational power device. Finally the development of activity recognition techniques can greatly benefit from the availability of shared dataset. We report our experience in building a dataset for activity recognition. Such dataset is freely available to the scientific community for research purposes and can be used as a testbench for developing, testing and comparing different activity recognition techniques.

Bioimaging of animal embryogenesis: mathematical methods and computational algorithms

Some fundamental biological processes such as embryonic development have been preserved during evolution and are common to species belonging to different phylogenetic positions, but are nowadays largely unknown. The understanding of cell morphodynamics leading to the formation of organized spatial distribution of cells such as tissues and organs can be achieved through the reconstruction of cells shape and position during the development of a live animal embryo. We design in this work a chain of image processing methods to automatically segment and track cells nuclei and membranes during the development of a zebrafish embryo, which has been largely validates as model organism to understand vertebrate development, gene function and healingrepair mechanisms in vertebrates. The embryo is previously labeled through the ubiquitous expression of fluorescent proteins addressed to cells nuclei and membranes, and temporal sequences of volumetric images are acquired with laser scanning microscopy. Cells position is detected by processing nuclei images either through the generalized form of the Hough transform or identifying nuclei position with local maxima after a smoothing preprocessing step. Membranes and nuclei shapes are reconstructed by using PDEs based variational techniques such as the Subjective Surfaces and the Chan Vese method. Cells tracking is performed by combining informations previously detected on cells shape and position with biological regularization constraints. Our results are manually validated and reconstruct the formation of zebrafish brain at 7-8 somite stage with all the cells tracked starting from late sphere stage with less than 2% error for at least 6 hours. Our reconstruction opens the way to a systematic investigation of cellular behaviors, of clonal origin and clonal complexity of brain organs, as well as the contribution of cell proliferation modes and cell movements to the formation of local patterns and morphogenetic fields.

Middleware principles and design for the integration of ubiquitos mobile services

Nowadays, in Ubiquitous computing scenarios users more and more require to exploit online contents and services by means of any device at hand, no matter their physical location, and by personalizing and tailoring content and service access to their own requirements. The coordinated provisioning of content tailored to user context and preferences, and the support for mobile multimodal and multichannel interactions are of paramount importance in providing users with a truly effective Ubiquitous support. However, so far the intrinsic heterogeneity and the lack of an integrated approach led to several either too vertical, or practically unusable proposals, thus resulting in poor and non-versatile support platforms for Ubiquitous computing. This work investigates and promotes design principles to help cope with these ever-changing and inherently dynamic scenarios. By following the outlined principles, we have designed and implemented a middleware support platform to support the provisioning of Ubiquitous mobile services and contents. To prove the viability of our approach, we have realized and stressed on top of our support platform a number of different, extremely complex and heterogeneous content and service provisioning scenarios. The encouraging results obtained are pushing our research work further, in order to provide a dynamic platform that is able to not only dynamically support novel Ubiquitous applicative scenarios by tailoring extremely diverse services and contents to heterogeneous user needs, but is also able to reconfigure and adapt itself in order to provide a truly optimized and tailored support for Ubiquitous service provisioning.

Uniquitous internet middleware: architecture design and prototype evaluation

Technology advances in recent years have dramatically changed the way users exploit contents and services available on the Internet, by enforcing pervasive and mobile computing scenarios and enabling access to networked resources almost from everywhere, at anytime, and independently of the device in use. In addition, people increasingly require to customize their experience, by exploiting specific device capabilities and limitations, inherent features of the communication channel in use, and interaction paradigms that significantly differ from the traditional request/response one. So-called Ubiquitous Internet scenario calls for solutions that address many different challenges, such as device mobility, session management, content adaptation, context-awareness and the provisioning of multimodal interfaces. Moreover, new service opportunities demand simple and effective ways to integrate existing resources into new and value added applications, that can also undergo run-time modifications, according to ever-changing execution conditions. Despite service-oriented architectural models are gaining momentum to tame the increasing complexity of composing and orchestrating distributed and heterogeneous functionalities, existing solutions generally lack a unified approach and only provide support for specific Ubiquitous Internet aspects. Moreover, they usually target rather static scenarios and scarcely support the dynamic nature of pervasive access to Internet resources, that can make existing compositions soon become obsolete or inadequate, hence in need of reconfiguration. This thesis proposes a novel middleware approach to comprehensively deal with Ubiquitous Internet facets and assist in establishing innovative application scenarios. We claim that a truly viable ubiquity support infrastructure must neatly decouple distributed resources to integrate and push any kind of content-related logic outside its core layers, by keeping only management and coordination responsibilities. Furthermore, we promote an innovative, open, and dynamic resource composition model that allows to easily describe and enforce complex scenario requirements, and to suitably react to changes in the execution conditions.

Body ares networks for human motor assessment

Healthcare, Human Computer Interfaces (HCI), Security and Biometry are the most promising application scenario directly involved in the Body Area Networks (BANs) evolution. Both wearable devices and sensors directly integrated in garments envision a word in which each of us is supervised by an invisible assistant monitoring our health and daily-life activities. New opportunities are enabled because improvements in sensors miniaturization and transmission efficiency of the wireless protocols, that achieved the integration of high computational power aboard independent, energy-autonomous, small form factor devices. Application’s purposes are various: (I) data collection to achieve off-line knowledge discovery; (II) user notification of his/her activities or in case a danger occurs; (III) biofeedback rehabilitation; (IV) remote alarm activation in case the subject need assistance; (V) introduction of a more natural interaction with the surrounding computerized environment; (VI) users identification by physiological or behavioral characteristics. Telemedicine and mHealth [1] are two of the leading concepts directly related to healthcare. The capability to borne unobtrusiveness objects supports users’ autonomy. A new sense of freedom is shown to the user, not only supported by a psychological help but a real safety improvement. Furthermore, medical community aims the introduction of new devices to innovate patient treatments. In particular, the extension of the ambulatory analysis in the real life scenario by proving continuous acquisition. The wide diffusion of emerging wellness portable equipment extended the usability of wearable devices also for fitness and training by monitoring user performance on the working task. The learning of the right execution techniques related to work, sport, music can be supported by an electronic trainer furnishing the adequate aid. HCIs made real the concept of Ubiquitous, Pervasive Computing and Calm Technology introduced in the 1988 by Marc Weiser and John Seeley Brown. They promotes the creation of pervasive environments, enhancing the human experience. Context aware, adaptive and proactive environments serve and help people by becoming sensitive and reactive to their presence, since electronics is ubiquitous and deployed everywhere. In this thesis we pay attention to the integration of all the aspects involved in a BAN development. Starting from the choice of sensors we design the node, configure the radio network, implement real-time data analysis and provide a feedback to the user. We present algorithms to be implemented in wearable assistant for posture and gait analysis and to provide assistance on different walking conditions, preventing falls. Our aim, expressed by the idea to contribute at the development of a non proprietary solutions, driven us to integrate commercial and standard solutions in our devices. We use sensors available on the market and avoided to design specialized sensors in ASIC technologies. We employ standard radio protocol and open source projects when it was achieved. The specific contributions of the PhD research activities are presented and discussed in the following. • We have designed and build several wireless sensor node providing both sensing and actuator capability making the focus on the flexibility, small form factor and low power consumption. The key idea was to develop a simple and general purpose architecture for rapid analysis, prototyping and deployment of BAN solutions. Two different sensing units are integrated: kinematic (3D accelerometer and 3D gyroscopes) and kinetic (foot-floor contact pressure forces). Two kind of feedbacks were implemented: audio and vibrotactile. • Since the system built is a suitable platform for testing and measuring the features and the constraints of a sensor network (radio communication, network protocols, power consumption and autonomy), we made a comparison between Bluetooth and ZigBee performance in terms of throughput and energy efficiency. Test in the field evaluate the usability in the fall detection scenario. • To prove the flexibility of the architecture designed, we have implemented a wearable system for human posture rehabilitation. The application was developed in conjunction with biomedical engineers who provided the audio-algorithms to furnish a biofeedback to the user about his/her stability. • We explored off-line gait analysis of collected data, developing an algorithm to detect foot inclination in the sagittal plane, during walk. • In collaboration with the Wearable Lab – ETH, Zurich, we developed an algorithm to monitor the user during several walking condition where the user carry a load. The remainder of the thesis is organized as follows. Chapter I gives an overview about Body Area Networks (BANs), illustrating the relevant features of this technology and the key challenges still open. It concludes with a short list of the real solutions and prototypes proposed by academic research and manufacturers. The domain of the posture and gait analysis, the methodologies, and the technologies used to provide real-time feedback on detected events, are illustrated in Chapter II. The Chapter III and IV, respectively, shown BANs developed with the purpose to detect fall and monitor the gait taking advantage by two inertial measurement unit and baropodometric insoles. Chapter V reports an audio-biofeedback system to improve balance on the information provided by the use centre of mass. A walking assistant based on the KNN classifier to detect walking alteration on load carriage, is described in Chapter VI.

Rapporto tra struttura e funzione della cistatina B e dei suoi mutanti in relazione all'epilessia mioclonica progressiva di tipo 1 (EPM1)

This work shows for the first time that native CSTB polymerizes on addition of Cu2+ and DnaK (Hsp70). Cysteines are involved in the polymerization process and in particular at least one cysteine is necessary. We propose that Cu2+ interacts with the thiol group of cysteine and oxidize it. The oxidized cysteine modifies the CSTB structure allowing interaction with DnaK/Hsp70 to occur. Thus, Cu2+ binding to CSTB exposes a site for DnaK and such interaction allows the polymerization of CSTB. The polymers generated from native CSTB monomers, are DTT sensitive and they may represent physiological polymers. Denatured CSTB does not require Cu2+ and polymerizes simply on addition of DnaK. The polymers generated from denatured CSTB do not respond to DTT. They have characteristics similar to those of the CSTB toxic aggregates described in vivo in eukaryotic cells following CSTB over-expression. Interaction between CSTB and Hsp70 is shown by IP experiments. The interaction occurs with WT CSTB and not with the cys mutant. This suggests that disulphur bonds are involved. Methal-cathalyzed oxidation of proteins involves reduction of the metal ion(s) bound to the protein itself and oxidation of neighboring ammino acid residues resulting in structural modification and de-stabilization of the molecule. In this work we propose that the cysteine thyol residue of CSTB in the presence of Cu2+ is oxidized, and cathalyzes the formation of disulphide bonds with Hsp70, that, once bound to CSTB, mediates its polymerization. In vivo this molecular mechanism of CSTB polymerization could be regulated by redox environment through the cysteine residue. This may imply that CSTB physiological polymers have a specific cellular function, different from that of the protease inhibitor known for the CSTB monomer. This hypothesis is interesting in relation to Progressive Myoclonus Epilepsy of type 1 (EPM1). This pathology is usually caused by mutations in the CSTB gene. CSTB is a ubiquitous protein, but EPM1 patients have problems only in the central nervous system. Maybe physiological CSTB polymers have a specific function altered in people affected by EPM1.

Sistemi riconfigurabili a basso consumo per applicazioni di monitoraggio distribuito

The term Ambient Intelligence (AmI) refers to a vision on the future of the information society where smart, electronic environment are sensitive and responsive to the presence of people and their activities (Context awareness). In an ambient intelligence world, devices work in concert to support people in carrying out their everyday life activities, tasks and rituals in an easy, natural way using information and intelligence that is hidden in the network connecting these devices. This promotes the creation of pervasive environments improving the quality of life of the occupants and enhancing the human experience. AmI stems from the convergence of three key technologies: ubiquitous computing, ubiquitous communication and natural interfaces. Ambient intelligent systems are heterogeneous and require an excellent cooperation between several hardware/software technologies and disciplines, including signal processing, networking and protocols, embedded systems, information management, and distributed algorithms. Since a large amount of fixed and mobile sensors embedded is deployed into the environment, the Wireless Sensor Networks is one of the most relevant enabling technologies for AmI. WSN are complex systems made up of a number of sensor nodes which can be deployed in a target area to sense physical phenomena and communicate with other nodes and base stations. These simple devices typically embed a low power computational unit (microcontrollers, FPGAs etc.), a wireless communication unit, one or more sensors and a some form of energy supply (either batteries or energy scavenger modules). WNS promises of revolutionizing the interactions between the real physical worlds and human beings. Low-cost, low-computational power, low energy consumption and small size are characteristics that must be taken into consideration when designing and dealing with WSNs. To fully exploit the potential of distributed sensing approaches, a set of challengesmust be addressed. Sensor nodes are inherently resource-constrained systems with very low power consumption and small size requirements which enables than to reduce the interference on the physical phenomena sensed and to allow easy and low-cost deployment. They have limited processing speed,storage capacity and communication bandwidth that must be efficiently used to increase the degree of local ”understanding” of the observed phenomena. A particular case of sensor nodes are video sensors. This topic holds strong interest for a wide range of contexts such as military, security, robotics and most recently consumer applications. Vision sensors are extremely effective for medium to long-range sensing because vision provides rich information to human operators. However, image sensors generate a huge amount of data, whichmust be heavily processed before it is transmitted due to the scarce bandwidth capability of radio interfaces. In particular, in video-surveillance, it has been shown that source-side compression is mandatory due to limited bandwidth and delay constraints. Moreover, there is an ample opportunity for performing higher-level processing functions, such as object recognition that has the potential to drastically reduce the required bandwidth (e.g. by transmitting compressed images only when something ‘interesting‘ is detected). The energy cost of image processing must however be carefully minimized. Imaging could play and plays an important role in sensing devices for ambient intelligence. Computer vision can for instance be used for recognising persons and objects and recognising behaviour such as illness and rioting. Having a wireless camera as a camera mote opens the way for distributed scene analysis. More eyes see more than one and a camera system that can observe a scene from multiple directions would be able to overcome occlusion problems and could describe objects in their true 3D appearance. In real-time, these approaches are a recently opened field of research. In this thesis we pay attention to the realities of hardware/software technologies and the design needed to realize systems for distributed monitoring, attempting to propose solutions on open issues and filling the gap between AmI scenarios and hardware reality. The physical implementation of an individual wireless node is constrained by three important metrics which are outlined below. Despite that the design of the sensor network and its sensor nodes is strictly application dependent, a number of constraints should almost always be considered. Among them: • Small form factor to reduce nodes intrusiveness. • Low power consumption to reduce battery size and to extend nodes lifetime. • Low cost for a widespread diffusion. These limitations typically result in the adoption of low power, low cost devices such as low powermicrocontrollers with few kilobytes of RAMand tenth of kilobytes of program memory with whomonly simple data processing algorithms can be implemented. However the overall computational power of the WNS can be very large since the network presents a high degree of parallelism that can be exploited through the adoption of ad-hoc techniques. Furthermore through the fusion of information from the dense mesh of sensors even complex phenomena can be monitored. In this dissertation we present our results in building several AmI applications suitable for a WSN implementation. The work can be divided into two main areas:Low Power Video Sensor Node and Video Processing Alghoritm and Multimodal Surveillance . Low Power Video Sensor Nodes and Video Processing Alghoritms In comparison to scalar sensors, such as temperature, pressure, humidity, velocity, and acceleration sensors, vision sensors generate much higher bandwidth data due to the two-dimensional nature of their pixel array. We have tackled all the constraints listed above and have proposed solutions to overcome the current WSNlimits for Video sensor node. We have designed and developed wireless video sensor nodes focusing on the small size and the flexibility of reuse in different applications. The video nodes target a different design point: the portability (on-board power supply, wireless communication), a scanty power budget (500mW),while still providing a prominent level of intelligence, namely sophisticated classification algorithmand high level of reconfigurability. We developed two different video sensor node: The device architecture of the first one is based on a low-cost low-power FPGA+microcontroller system-on-chip. The second one is based on ARM9 processor. Both systems designed within the above mentioned power envelope could operate in a continuous fashion with Li-Polymer battery pack and solar panel. Novel low power low cost video sensor nodes which, in contrast to sensors that just watch the world, are capable of comprehending the perceived information in order to interpret it locally, are presented. Featuring such intelligence, these nodes would be able to cope with such tasks as recognition of unattended bags in airports, persons carrying potentially dangerous objects, etc.,which normally require a human operator. Vision algorithms for object detection, acquisition like human detection with Support Vector Machine (SVM) classification and abandoned/removed object detection are implemented, described and illustrated on real world data. Multimodal surveillance: In several setup the use of wired video cameras may not be possible. For this reason building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. Energy efficiency for wireless smart camera networks is one of the major efforts in distributed monitoring and surveillance community. For this reason, building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. The Pyroelectric Infra-Red (PIR) sensors have been used to extend the lifetime of a solar-powered video sensor node by providing an energy level dependent trigger to the video camera and the wireless module. Such approach has shown to be able to extend node lifetime and possibly result in continuous operation of the node.Being low-cost, passive (thus low-power) and presenting a limited form factor, PIR sensors are well suited for WSN applications. Moreover techniques to have aggressive power management policies are essential for achieving long-termoperating on standalone distributed cameras needed to improve the power consumption. We have used an adaptive controller like Model Predictive Control (MPC) to help the system to improve the performances outperforming naive power management policies.

Data Mining in Clinical Practice for the Quantification of Motor Impairment in Parkinson's Disease

Advances in biomedical signal acquisition systems for motion analysis have led to lowcost and ubiquitous wearable sensors which can be used to record movement data in different settings. This implies the potential availability of large amounts of quantitative data. It is then crucial to identify and to extract the information of clinical relevance from the large amount of available data. This quantitative and objective information can be an important aid for clinical decision making. Data mining is the process of discovering such information in databases through data processing, selection of informative data, and identification of relevant patterns. The databases considered in this thesis store motion data from wearable sensors (specifically accelerometers) and clinical information (clinical data, scores, tests). The main goal of this thesis is to develop data mining tools which can provide quantitative information to the clinician in the field of movement disorders. This thesis will focus on motor impairment in Parkinson's disease (PD). Different databases related to Parkinson subjects in different stages of the disease were considered for this thesis. Each database is characterized by the data recorded during a specific motor task performed by different groups of subjects. The data mining techniques that were used in this thesis are feature selection (a technique which was used to find relevant information and to discard useless or redundant data), classification, clustering, and regression. The aims were to identify high risk subjects for PD, characterize the differences between early PD subjects and healthy ones, characterize PD subtypes and automatically assess the severity of symptoms in the home setting.

Wireless Networks for Body-Centric Communications

Progress in miniaturization of electronic components and design of wireless systems paved the way towards ubiquitous and pervasive communications, enabling anywhere and anytime connectivity. Wireless devices present on, inside, around the human body are becoming commonly used, leading to the class of body-centric communications. The presence of the body with all its peculiar characteristics has to be properly taken into account in the development and design of wireless networks in this context. This thesis addresses various aspects of body-centric communications, with the aim of investigating network performance achievable in different scenarios. The main original contributions pertain to the performance evaluation for Wireless Body Area Networks (WBANs) at the Medium Access Control layer: the application of Link Adaptation to these networks is proposed, Carrier Sense Multiple Access with Collision Avoidance algorithms used for WBAN are extensively investigated, coexistence with other wireless systems is examined. Then, an analytical model for interference in wireless access network is developed, which can be applied to the study of communication between devices located on humans and fixed nodes of an external infrastructure. Finally, results on experimental activities regarding the investigation of human mobility and sociality are presented.

Il sistema degli endocannabinoidi nella cirrosi epatica complicata da infezione batterica: studio nell’uomo ed in un modello sperimentale animale

Gli endocannabinoidi (EC) sono una classe di composti che mimano gli effetti del Δ9-tetraidrocannabinolo. Essi comprendono l’anandamide (AEA) ed il 2-arachidonoilglicerolo (2-AG), molecole che interagiscono preferenzialmente con due specifici recettori, il CB1 ed il CB2. Più recente è la scoperta di due molecole EC simili, il palmitoiletanolamide (PEA) e l’oleiletanolamide (OEA), che tuttavia agiscono legando recettori diversi tra cui il PPARα ed il TRVP1. Studi sperimentali dimostrano che il sistema degli EC è attivato in corso di cirrosi epatica ed è coinvolto nel processo fibrogenico e nella patogenesi delle alterazioni emodinamiche tipiche della malattia. Esso partecipa alla patogenesi di alcune delle maggiori complicanze della cirrosi quali ascite, encefalopatia, cardiomiopatia ed infezioni batteriche. Scopo del presente studio è stato quello di studiare il ruolo degli EC nella patogenesi delle infezioni batteriche in corso di cirrosi. A tale scopo sono stati eseguiti un protocollo clinico ed uno sperimentale. Nel protocollo sperimentale la cirrosi è stata indotta mediante somministrazione di CCl4 per via inalatoria a ratti maschi Wistar. In tale protocollo i livelli circolanti di tutti gli EC sono risultati significativamente aumentati a seguito della somministrazione di LPS. La somministrazione dell’antagonista del recettore CB1, Rimonabant, inoltre, è stata efficace nel ridurre del 50% la mortalità a 24 ore dei ratti trattati col farmaco rispetto ai ratti trattati col solo LPS. Parallelamente il Rimonabant ha determinato una riduzione dell’espressione genica di molecole pro-infiammatorie e sostanze vasoattive. Lo studio clinico, condotto su 156 pazienti, ha confermato l’attivazione del sistema degli EC in corso di cirrosi epatica. Inoltre è stata identificata una forte correlazione tra il PEA e l’OEA e l’emodinamica sistemica ed una associazione con alcune delle maggiori complicanze. L’analisi statistica ha inoltre individuato l’OEA quale predittore indipendente di insufficenza renale e di sopravvivenza globale.

Technologies for Ambient intelligence: from Smart Objects to Sensor Networks

n the last few years, the vision of our connected and intelligent information society has evolved to embrace novel technological and research trends. The diffusion of ubiquitous mobile connectivity and advanced handheld portable devices, amplified the importance of the Internet as the communication backbone for the fruition of services and data. The diffusion of mobile and pervasive computing devices, featuring advanced sensing technologies and processing capabilities, triggered the adoption of innovative interaction paradigms: touch responsive surfaces, tangible interfaces and gesture or voice recognition are finally entering our homes and workplaces. We are experiencing the proliferation of smart objects and sensor networks, embedded in our daily living and interconnected through the Internet. This ubiquitous network of always available interconnected devices is enabling new applications and services, ranging from enhancements to home and office environments, to remote healthcare assistance and the birth of a smart environment. This work will present some evolutions in the hardware and software development of embedded systems and sensor networks. Different hardware solutions will be introduced, ranging from smart objects for interaction to advanced inertial sensor nodes for motion tracking, focusing on system-level design. They will be accompanied by the study of innovative data processing algorithms developed and optimized to run on-board of the embedded devices. Gesture recognition, orientation estimation and data reconstruction techniques for sensor networks will be introduced and implemented, with the goal to maximize the tradeoff between performance and energy efficiency. Experimental results will provide an evaluation of the accuracy of the presented methods and validate the efficiency of the proposed embedded systems.

Quality of Service in Distributed Stream Processing for large scale Smart Pervasive Environments

The wide diffusion of cheap, small, and portable sensors integrated in an unprecedented large variety of devices and the availability of almost ubiquitous Internet connectivity make it possible to collect an unprecedented amount of real time information about the environment we live in. These data streams, if properly and timely analyzed, can be exploited to build new intelligent and pervasive services that have the potential of improving people's quality of life in a variety of cross concerning domains such as entertainment, health-care, or energy management. The large heterogeneity of application domains, however, calls for a middleware-level infrastructure that can effectively support their different quality requirements. In this thesis we study the challenges related to the provisioning of differentiated quality-of-service (QoS) during the processing of data streams produced in pervasive environments. We analyze the trade-offs between guaranteed quality, cost, and scalability in streams distribution and processing by surveying existing state-of-the-art solutions and identifying and exploring their weaknesses. We propose an original model for QoS-centric distributed stream processing in data centers and we present Quasit, its prototype implementation offering a scalable and extensible platform that can be used by researchers to implement and validate novel QoS-enforcement mechanisms. To support our study, we also explore an original class of weaker quality guarantees that can reduce costs when application semantics do not require strict quality enforcement. We validate the effectiveness of this idea in a practical use-case scenario that investigates partial fault-tolerance policies in stream processing by performing a large experimental study on the prototype of our novel LAAR dynamic replication technique. Our modeling, prototyping, and experimental work demonstrates that, by providing data distribution and processing middleware with application-level knowledge of the different quality requirements associated to different pervasive data flows, it is possible to improve system scalability while reducing costs.

Effect of different management intensities on natural and human-induced carbon fluxes in a golf course in northern Italy

Turfgrasses are ubiquitous in urban landscape and their role on carbon (C) cycle is increasing important also due to the considerable footprint related to their management practices. It is crucial to understand the mechanisms driving the C assimilation potential of these terrestrial ecosystems Several approaches have been proposed to assess C dynamics: micro-meteorological methods, small-chamber enclosure system (SC), chrono-sequence approach and various models. Natural and human-induced variables influence turfgrasses C fluxes. Species composition, environmental conditions, site characteristics, former land use and agronomic management are the most important factors considered in literature driving C sequestration potential. At the same time different approaches seem to influence C budget estimates. In order to study the effect of different management intensities on turfgrass, we estimated net ecosystem exchange (NEE) through a SC approach in a hole of a golf course in the province of Verona (Italy) for one year. The SC approach presented several advantages but also limits related to the measurement frequency, timing and duration overtime, and to the methodological errors connected to the measuring system. Daily CO2 fluxes changed according to the intensity of maintenance, likely due to different inputs and disturbances affecting biogeochemical cycles, combined also to the different leaf area index (LAI). The annual cumulative NEE decreased with the increase of the intensity of management. NEE was related to the seasonality of turfgrass, following temperatures and physiological activity. Generally on the growing season CO2 fluxes towards atmosphere exceeded C sequestered. The cumulative NEE showed a system near to a steady state for C dynamics. In the final part greenhouse gases (GHGs) emissions due to fossil fuel consumption for turfgrass upkeep were estimated, pinpointing that turfgrass may result a considerable C source. The C potential of trees and shrubs needs to be considered to obtain a complete budget.