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.

Electrolyte disorders in the human ventricle. A simulation study.

Ventricular cells are immersed in a bath of electrolytes and these ions are essential for a healthy heart and a regular rhythm. Maintaining physiological concentration of them is fundamental for reducing arrhythmias and risk of sudden cardiac death, especially in haemodialysis patients and in the heart diseases treatments. Models of electrically activity of the heart based on mathematical formulation are a part of the efforts to improve the understanding and prediction of heart behaviour. Modern models incorporate the extensive and ever increasing amounts of experimental data in incorporating biophysically detailed mechanisms to allow the detailed study of molecular and subcellular mechanisms of heart disease. The goal of this project was to simulate the effects of changes in potassium and calcium concentrations in the extracellular space between experimental data and and a description incorpored into two modern biophysically detailed models (Grandi et al. Model; O’Hara Rudy Model). Moreover the task was to analyze the changes in the ventricular electrical activity, in particular by studying the modifications on the simulated electrocardiographic signal. We used the cellular information obtained by the heart models in order to build a 1D tissue description. The fibre is composed by 165 cells, it is divided in four groups to differentiate the cell types that compound human ventricular tissue. The main results are the following: Grandi et al. (GBP) model is not even able to reproduce the correct action potential profile in hyperkalemia. Data from hospitalized patients indicates that the action potential duration (APD) should be shorter than physiological state but in this model we have the opposite. From the potassium point of view the results obtained by using O’Hara model (ORD) are in agreement with experimental data for the single cell action potential in hypokalemia and hyperkalemia, most of the currents follow the data from literature. In the 1D simulations we were able to reproduce ECGs signal in most the potassium concentrations we selected for this study and we collected data that can help physician in understanding what happens in ventricular cells during electrolyte disorder. However the model fails in the conduction of the stimulus under hyperkalemic conditions. The model emphasized the ECG modifications when the K+ is slightly more than physiological value. In the calcium setting using the ORD model we found an APD shortening in hypocalcaemia and an APD lengthening in hypercalcaemia, i.e. the opposite to experimental observation. This wrong behaviour is kept in one dimensional simulations bringing a longer QT interval in the ECG under higher [Ca2+]o conditions and vice versa. In conclusion it has highlighted that the actual ventricular models present in literature, even if they are useful in the original form, they need an improvement in the sensitivity of these two important electrolytes. We suggest an use of the GBP model with modifications introduced by Carro et al. who understood that the failure of this model is related to the Shannon et al. model (a rabbit model) from which the GBP model was built. The ORD model should be modified in the Ca2+ - dependent IcaL and in the influence of the Iks in the action potential for letting it him produce a correct action potential under different calcium concentrations. In the 1D tissue maybe a heterogeneity setting of intra and extracellular conductances for the different cell types should improve a reproduction of the ECG signal.

Social learning and action understanding in human observers: contributions of sensori-motor constraints and prior information

The aim of this thesis was to investigate the respective contribution of prior information and sensorimotor constraints to action understanding, and to estimate their consequences on the evolution of human social learning. Even though a huge amount of literature is dedicated to the study of action understanding and its role in social learning, these issues are still largely debated. Here, I critically describe two main perspectives. The first perspective interprets faithful social learning as an outcome of a fine-grained representation of others’ actions and intentions that requires sophisticated socio-cognitive skills. In contrast, the second perspective highlights the role of simpler decision heuristics, the recruitment of which is determined by individual and ecological constraints. The present thesis aims to show, through four experimental works, that these two contributions are not mutually exclusive. A first study investigates the role of the inferior frontal cortex (IFC), the anterior intraparietal area (AIP) and the primary somatosensory cortex (S1) in the recognition of other people’s actions, using a transcranial magnetic stimulation adaptation paradigm (TMSA). The second work studies whether, and how, higher-order and lower-order prior information (acquired from the probabilistic sampling of past events vs. derived from an estimation of biomechanical constraints of observed actions) interacts during the prediction of other people’s intentions. Using a single-pulse TMS procedure, the third study investigates whether the interaction between these two classes of priors modulates the motor system activity. The fourth study tests the extent to which behavioral and ecological constraints influence the emergence of faithful social learning strategies at a population level. The collected data contribute to elucidate how higher-order and lower-order prior expectations interact during action prediction, and clarify the neural mechanisms underlying such interaction. Finally, these works provide/open promising perspectives for a better understanding of social learning, with possible extensions to animal models.

Identification and functional characterization of human cytomegalovirus Fc binding proteins

ABSTRACT Human cytomegalovirus (HCMV) employs many different mechanisms to escape and subvert the host immune system surveillance. Among these different mechanisms the role of human IgG Fc receptors (FcγR) in HCMV pathogenesis is still unclear. In mammalians, FcγRs are expressed on the surface of all haematopoietic cells and have a multifaceted role in regulating the activity of antibodies to generate a well-balanced immune response. Viral proteins with Fcγ binding ability are highly diffuse among herpesviruses. They interfere with the host receptors functions in order to counteract immune system recognition. So far, two human HCMV Fcγ binding proteins have been described: UL119 and RL11. This work was aimed to the identification and characterization of HCMV Fcγ binding proteins. The study is divided in two parts: first the characterization of UL119 and RL11; second the identification and characterization of novel HCMV Fcγ binding proteins. Regarding the first part, we demonstrated that both UL119 and RL11 internalize Fcγ fragments from transfected cells surface through a clathrin dependent pathway. In infected cells both proteins were found in the viral assembly complex and on virions surface as envelope associated glycoproteins. Moreover, internalized Fcγ in infected cells do not undergo lysosomal degradation but rather traffic in early endosomes up to the viral assembly complex. Regarding the second part, we were able to identify two novels Fcγ binding protein coded by CMV: RL12 and RL13. The latter was also further characterized as recombinant protein in terms of cellular localization, Fc binding site and IgG internalization ability. Finally binding specificity of both RL12 and RL13 seems to be confined to human IgG1 and IgG2. Taken together, these data show that HCMV codes for up to 4 FcγR and that they could have a double role both on virus and on infected cells.

Structured antibody surfaces for bio-recognition and a label-free detection of bacteria

Antibody microarrays are of great research interest because of their potential application as biosensors for high-throughput protein and pathogen screening technologies. In this active area, there is still a need for novel structures and assemblies providing insight in binding interactions such as spherical and annulus-shaped protein structures, e.g. for the utilization of curved surfaces for the enhanced protein-protein interactions and detection of antigens. Therefore, the goal of the presented work was to establish a new technique for the label-free detection of bio-molecules and bacteria on topographically structured surfaces, suitable for antibody binding.rnIn the first part of the presented thesis, the fabrication of monolayers of inverse opals with 10 μm diameter and the immobilization of antibodies on their interior surface is described. For this purpose, several established methods for the linking of antibodies to glass, including Schiff bases, EDC/S-NHS chemistry and the biotin-streptavidin affinity system, were tested. The employed methods included immunofluorescence and image analysis by phase contrast microscopy. It could be shown that these methods were not successful in terms of antibody immobilization and adjacent bacteria binding. Hence, a method based on the application of an active-ester-silane was introduced. It showed promising results but also the need for further analysis. Especially the search for alternative antibodies addressing other antigens on the exterior of bacteria will be sought-after in the future.rnAs a consequence of the ability to control antibody-functionalized surfaces, a new technique employing colloidal templating to yield large scale (~cm2) 2D arrays of antibodies against E. coli K12, eGFP and human integrin αvβ3 on a versatile useful glass surface is presented. The antibodies were swept to reside around the templating microspheres during solution drying, and physisorbed on the glass. After removing the microspheres, the formation of annuli-shaped antibody structures was observed. The preserved antibody structure and functionality is shown by binding the specific antigens and secondary antibodies. The improved detection of specific bacteria from a crude solution compared to conventional “flat” antibody surfaces and the setting up of an integrin-binding platform for targeted recognition and surface interactions of eukaryotic cells is demonstrated. The structures were investigated by atomic force, confocal and fluorescence microscopy. Operational parameters like drying time, temperature, humidity and surfactants were optimized to obtain a stable antibody structure.

Development, degeneration and neural network of the bodily self

The question addressed by this dissertation is how the human brain builds a coherent representation of the body, and how this representation is used to recognize its own body. Recent approaches by neuroimaging and TMS revealed hints for a distinct brain representation of human body, as compared with other stimulus categories. Neuropsychological studies demonstrated that body-parts and self body-parts recognition are separate processes sub-served by two different, even if possibly overlapping, networks within the brain. Bodily self-recognition is one aspect of our ability to distinguish between self and others and the self/other distinction is a crucial aspect of social behaviour. This is the reason why I have conducted a series of experiment on subjects with everyday difficulties in social and emotional behaviour, such as patients with autism spectrum disorders (ASD) and patients with Parkinson’s disease (PD). More specifically, I studied the implicit self body/face recognition (Chapter 6) and the influence of emotional body postures on bodily self-processing in TD children as well as in ASD children (Chapter 7). I found that the bodily self-recognition is present in TD and in ASD children and that emotional body postures modulate self and others’ body processing. Subsequently, I compared implicit and explicit bodily self-recognition in a neuro-degenerative pathology, such as in PD patients, and I found a selective deficit in implicit but not in explicit self-recognition (Chapter 8). This finding suggests that implicit and explicit bodily self-recognition are separate processes subtended by different mechanisms that can be selectively impaired. If the bodily self is crucial for self/other distinction, the space around the body (personal space) represents the space of interaction and communication with others. When, I studied this space in autism, I found that personal space regulation is impaired in ASD children (Chapter 9).

Multimethodological study of molecular recognition phenomena

The study of the bio-recognition phenomena behind a biological process is nowadays considered a useful tool to deeply understand physiological mechanisms allowing the discovery of novel biological target and the development of new lead candidates. Moreover, understanding this kind of phenomena can be helpful in characterizing absorption, distribution, metabolism, elimination and toxicity properties of a new drug (ADMET parameters). Recent estimations show that about half of all drugs in development fail to make it to the market because of ADMET deficiencies; thus a rapid determination of ADMET parameters in early stages of drug discovery would save money and time, allowing to choose the better compound and to eliminate any losers. The monitoring of drug binding to plasma proteins is becoming essential in the field of drug discovery to characterize the drug distribution in human body. Human serum albumin (HSA) is the most abundant protein in plasma playing a fundamental role in the transport of drugs, metabolites and endogenous factors; so the study of the binding mechanism to HSA has become crucial to the early characterization of the pharmacokinetic profile of new potential leads. Furthermore, most of the distribution experiments carried out in vivo are performed on animals. Hence it is interesting to determine the binding of new compounds to albumins from different species to evaluate the reliability of extrapolating the distribution data obtained in animals to humans. It is clear how the characterization of interactions between proteins and drugs determines a growing need of methodologies to study any specific molecular event. A wide variety of biochemical techniques have been applied to this purpose. High-performance liquid affinity chromatography, circular dichroism and optical biosensor represent three techniques that can be able to elucidate the interaction of a new drug with its target and with others proteins that could interfere with ADMET parameters.

Biochemical analysis of the phosphatase domain of the human soluble epoxide hydrolase (sEH)

Die lösliche Epoxidhydrolase (sEH) gehört zur Familie der Epoxidhydrolase-Enzyme. Die Rolle der sEH besteht klassischerweise in der Detoxifikation, durch Umwandlung potenziell schädlicher Epoxide in deren unschädliche Diol-Form. Hauptsächlich setzt die sEH endogene, der Arachidonsäure verwandte Signalmoleküle, wie beispielsweise die Epoxyeicosatrienoic acid, zu den entsprechenden Diolen um. Daher könnte die sEH als ein Zielenzym in der Therapie von Bluthochdruck und Entzündungen sowie diverser anderer Erkrankungen eingesetzt werden. rnDie sEH ist ein Homodimer, in dem jede Untereinheit aus zwei Domänen aufgebaut ist. Das katalytische Zentrum der Epoxidhydrolaseaktivität befindet sich in der 35 kD großen C-terminalen Domäne. Dieser Bereich der sEH s wurde bereits im Detail untersucht und nahezu alle katalytischen Eigenschaften des Enzyms sowie deren dazugehörige Funktionen sind in Zusammenhang mit dieser Domäne bekannt. Im Gegensatz dazu ist über die 25 kD große N-terminale Domäne wenig bekannt. Die N-terminale Domäne der sEH wird zur Haloacid Dehalogenase (HAD) Superfamilie von Hydrolasen gezählt, jedoch war die Funktion dieses N-terminal Domäne lange ungeklärt. Wir haben in unserer Arbeitsgruppe zum ersten Mal zeigen können, dass die sEH in Säugern ein bifunktionelles Enzym ist, welches zusätzlich zur allgemein bekannten Enzymaktivität im C-terminalen Bereich eine weitere enzymatische Funktion mit Mg2+-abhängiger Phosphataseaktivität in der N-terminalen Domäne aufweist. Aufgrund der Homologie der N-terminalen Domäne mit anderen Enzymen der HAD Familie wird für die Ausübung der Phosphatasefunktion (Dephosphorylierung) eine Reaktion in zwei Schritten angenommen.rnUm den katalytischen Mechanismus der Dephosphorylierung weiter aufzuklären, wurden biochemische Analysen der humanen sEH Phosphatase durch Generierung von Mutationen im aktiven Zentrum mittels ortsspezifischer Mutagenese durchgeführt. Hiermit sollten die an der katalytischen Aktivität beteiligten Aminosäurereste im aktiven Zentrum identifiziert und deren Rolle bei der Dephosphorylierung spezifiziert werden. rnrnAuf Basis der strukturellen und möglichen funktionellen Ähnlichkeiten der sEH und anderen Mitgliedern der HAD Superfamilie wurden Aminosäuren (konservierte und teilweise konservierte Aminosäuren) im aktiven Zentrum der sEH Phosphatase-Domäne als Kandidaten ausgewählt.rnVon den Phosphatase-Domäne bildenden Aminosäuren wurden acht ausgewählt (Asp9 (D9), Asp11 (D11), Thr123 (T123), Asn124 (N124), Lys160 (K160), Asp184 (D184), Asp185 (D185), Asn189 (N189)), die mittels ortsspezifischer Mutagenese durch nicht funktionelle Aminosäuren ausgetauscht werden sollten. Dazu wurde jede der ausgewählten Aminosäuren durch mindestens zwei alternative Aminosäuren ersetzt: entweder durch Alanin oder durch eine Aminosäure ähnlich der im Wildtyp-Enzym. Insgesamt wurden 18 verschiedene rekombinante Klone generiert, die für eine mutante sEH Phosphatase Domäne kodieren, in dem lediglich eine Aminosäure gegenüber dem Wildtyp-Enzym ersetzt wurde. Die 18 Mutanten sowie das Wildtyp (Sequenz der N-terminalen Domäne ohne Mutation) wurden in einem Expressionsvektor in E.coli kloniert und die Nukleotidsequenz durch Restriktionsverdau sowie Sequenzierung bestätigt. Die so generierte N-terminale Domäne der sEH (25kD Untereinheit) wurde dann mittels Metallaffinitätschromatographie erfolgreich aufgereinigt und auf Phosphataseaktivität gegenüber des allgemeinen Substrats 4-Nitophenylphosphat getestet. Diejenigen Mutanten, die Phosphataseaktivität zeigten, wurden anschließend kinetischen Tests unterzogen. Basiered auf den Ergebnissen dieser Untersuchungen wurden kinetische Parameter mittels vier gut etablierter Methoden berechnet und die Ergebnisse mit der „direct linear blot“ Methode interpretiert. rnDie Ergebnisse zeigten, dass die meisten der 18 generierten Mutanten inaktiv waren oder einen Großteil der Enzymaktivität (Vmax) gegenüber dem Wildtyp verloren (WT: Vmax=77.34 nmol-1 mg-1 min). Dieser Verlust an Enzymaktivität ließ sich nicht durch einen Verlust an struktureller Integrität erklären, da der Wildtyp und die mutanten Proteine in der Chromatographie das gleiche Verhalten zeigten. Alle Aminosäureaustausche Asp9 (D9), Lys160 (K160), Asp184 (D184) und Asn189 (N189) führten zum kompletten Verlust der Phosphataseaktivität, was auf deren katalytische Funktion im N-terminalen Bereich der sEH hindeutet. Bei einem Teil der Aminosäureaustausche die für Asp11 (D11), Thr123 (T123), Asn124 (N124) und Asn185 (D185) durchgeführt wurden, kam es, verglichen mit dem Wildtyp, zu einer starken Reduktion der Phosphataseaktivität, die aber dennoch für die einzelnen Proteinmutanten in unterschiedlichem Ausmaß zu messen war (2 -10% and 40% of the WT enzyme activity). Zudem zeigten die Mutanten dieser Gruppe veränderte kinetische Eigenschaften (Vmax allein oder Vmax und Km). Dabei war die kinetische Analyse des Mutanten Asp11  Asn aufgrund der nur bei dieser Mutanten detektierbaren starken Vmax Reduktion (8.1 nmol-1 mg-1 min) und einer signifikanten Reduktion der Km (Asp11: Km=0.54 mM, WT: Km=1.3 mM), von besonderem Interesse und impliziert eine Rolle von Asp11 (D11) im zweiten Schritt der Hydrolyse des katalytischen Zyklus.rnZusammenfassend zeigen die Ergebnisse, dass alle in dieser Arbeit untersuchten Aminosäuren für die Phosphataseaktivität der sEH nötig sind und das aktive Zentrum der sEH Phosphatase im N-terminalen Bereich des Enzyms bilden. Weiterhin tragen diese Ergebnisse zur Aufklärung der potenziellen Rolle der untersuchten Aminosäuren bei und unterstützen die Hypothese, dass die Dephosphorylierungsreaktion in zwei Schritten abläuft. Somit ist ein kombinierter Reaktionsmechanismus, ähnlich denen anderer Enzyme der HAD Familie, für die Ausübung der Dephosphorylierungsfunktion denkbar. Diese Annahme wird gestützt durch die 3D-Struktur der N-terminalen Domäne, den Ergebnissen dieser Arbeit sowie Resultaten weiterer biochemischer Analysen. Der zweistufige Mechanismus der Dephosphorylierung beinhaltet einen nukleophilen Angriff des Substratphosphors durch das Nukleophil Asp9 (D9) des aktiven Zentrums unter Bildung eines Acylphosphat-Enzym-Zwischenprodukts, gefolgt von der anschließenden Freisetzung des dephosphorylierten Substrats. Im zweiten Schritt erfolgt die Hydrolyse des Enzym-Phosphat-Zwischenprodukts unterstützt durch Asp11 (D11), und die Freisetzung der Phosphatgruppe findet statt. Die anderen untersuchten Aminosäuren sind an der Bindung von Mg 2+ und/oder Substrat beteiligt. rnMit Hilfe dieser Arbeit konnte der katalytischen Mechanismus der sEH Phosphatase weiter aufgeklärt werden und wichtige noch zu untersuchende Fragestellungen, wie die physiologische Rolle der sEH Phosphatase, deren endogene physiologische Substrate und der genaue Funktionsmechanismus als bifunktionelles Enzym (die Kommunikation der zwei katalytischen Einheiten des Enzyms) wurden aufgezeigt und diskutiert.rn

Operating System Contribution to Composable Timing Behaviour in High-Integrity Real-Time Systems

The development of High-Integrity Real-Time Systems has a high footprint in terms of human, material and schedule costs. Factoring functional, reusable logic in the application favors incremental development and contains costs. Yet, achieving incrementality in the timing behavior is a much harder problem. Complex features at all levels of the execution stack, aimed to boost average-case performance, exhibit timing behavior highly dependent on execution history, which wrecks time composability and incrementaility with it. Our goal here is to restitute time composability to the execution stack, working bottom up across it. We first characterize time composability without making assumptions on the system architecture or the software deployment to it. Later, we focus on the role played by the real-time operating system in our pursuit. Initially we consider single-core processors and, becoming less permissive on the admissible hardware features, we devise solutions that restore a convincing degree of time composability. To show what can be done for real, we developed TiCOS, an ARINC-compliant kernel, and re-designed ORK+, a kernel for Ada Ravenscar runtimes. In that work, we added support for limited-preemption to ORK+, an absolute premiere in the landscape of real-word kernels. Our implementation allows resource sharing to co-exist with limited-preemptive scheduling, which extends state of the art. We then turn our attention to multicore architectures, first considering partitioned systems, for which we achieve results close to those obtained for single-core processors. Subsequently, we shy away from the over-provision of those systems and consider less restrictive uses of homogeneous multiprocessors, where the scheduling algorithm is key to high schedulable utilization. To that end we single out RUN, a promising baseline, and extend it to SPRINT, which supports sporadic task sets, hence matches real-world industrial needs better. To corroborate our results we present findings from real-world case studies from avionic industry.

Interactions of inhaled nanoparticles with the alveolar-capillary barrier of the human respiratory tract

In dieser Arbeit wurden zytotoxische Effekte sowie die inflammatorische Reaktionen des distalen respiratorischen Traktes nach Nanopartikelexposition untersucht. Besondere Aufmerksamkeit lag auch auf der Untersuchung unterschiedlicher zellulärer Aufnahmewege von Nanopartikeln wie z.B. Clathrin- oder Caveolae-vermittelte Endozytose oder auch Clathrin- und Caveolae-unabhängige Endozytose (mit möglicher Beteiligung von Flotillinen). Drei unterschiedliche Nanopartikel wurden hierbei gewählt: amorphes Silica (aSNP), Organosiloxan (AmorSil) und Poly(ethyleneimin) (PEI). Alle unterschiedlichen Materialien gewinnen zunehmend an Interesse für biomedizinische Forschungsrichtungen (drug and gene delivery). Insbesondere finden aSNPs auch in der Industrie vermehrt Anwendung, und stellen somit ein ernstzunehmendes Gesundheitsrisiko dar. Dieser wird dadurch zu einem begehrten Angriffsziel für pharmazeutische Verabreichungen von Medikamenten über Nanopartikel als Vehikel aber bietet zugleich auch eine Angriffsfläche für gesundheitsschädliche Nanomaterialien. Aus diesem Grund sollten die gesundheitsschädigenden Risiken, sowie das Schicksal von zellulär aufgenommenen NPs sorgfältig untersucht werden. In vivo Studien an der alveolaren-kapillaren Barriere sind recht umständlich. Aus diesem Grund wurde in dieser Arbeit ein Kokulturmodel benutzt, dass die Alveolar-Kapillare Barrier in vivo nachstellt. Das Model besteht aus dem humanen Lungenepithelzelltyp (z.B. NCI H441) und einem humanen microvasculären Endothelzelltyp (z.B. ISO-HAS-1), die auf entgegengesetzten Seiten eines Transwell-Filters ausgesät werden und eine dichte Barriere ausbilden. Die NP Interaktion mit Zellen in Kokultur wurde mit denen in konventioneller Monokultur verglichen, in der Zellen 24h vor dem Experiment ausgesät werden. Diese Studie zeigt, dass nicht nur die polarisierte Eigenschaft der Zellen in Kokultur sondern auch die unmittelbare Nähe von Epithel und Endothelzelle ausschlaggebend für durch aSNPs verursachte Effekte ist. Im Hinblick auf inflammatorische Marker (sICAM, IL-6, IL8-Ausschüttung), reagiert die Kokultur auf aSNPs empfindlicher als die konventionelle Monokultur, wohingegen die Epithelzellen in der Kokultur auf zytotoxikologischer Ebene (LDH-Ausschüttung) unempfindlicher auf aSNPs reagierten als die Zellen in Monokultur. Aufnahmestudien haben gezeigt, dass die Epithelzellen in Kokultur entschieden weniger NPs aufnehmen. Somit zeigen die H441 in der Kokultur ähnliche epitheliale Eigenschaften einer schützenden Barriere, wie sie auch in vivo zu finden sind. Obwohl eine ausreichende Aufnahme von NPs in H441 in Kokultur erreicht werden konnte, konnte ein Transport von NPs durch die epitheliale Schicht und eine Aufnahme in die endotheliale Schicht mit den gewählten Inkubationszeiten nicht gezeigt werden. Eine Clathrin- oder Caveolae-vermittelte Endozytose von NPs konnte mittels Immunfluoreszenz weder in der Mono- noch in der Kokultur nachgewiesen werden. Jedoch zeigte sich eine Akkumulation von NPs in Flotillin-1 und-2 enthaltende Vesikel in Epithelzellen aus beiden Kultursystemen. Ergebnisse mit Flotillin-inhibierten (siRNA) Epithelzellen, zeigten eine deutlich geringere Aufnahme von aSNPs. Zudem zeigte sich eine eine reduzierte Viabilität (MTS) von aSNP-behandelten Zellen. Dies deutet auf eine Beteiligung von Flotillinen an unbekannten (Clathrin oder Caveolae -unabhängig) Endozytosemechanismen und (oder) endosomaler Speicherung. Zusammenfassend waren die Aufnahmemechanismen für alle untesuchten NPs in konventioneller Monokultur und Kokultur vergleichbar, obwohl sich die Barriereeigenschaften deutlich unterscheiden. Diese Arbeit zeigt deutlich, dass sich die Zellen in Kokultur anders verhalten. Die Zellen erreichen hierbei einen höheren Differenzierungsgrad und eine Zellkommunikation mit anderen relevanten Zelltypen wird ermöglicht. Durch das Einbringen eines dritten relevanten Zelltyps in die Kokultur, des Alveolarmakrophagen (Zelllinie THP-1), welcher die erste Verteidigungsfront im Alveolus bildet, wird diese Aussage weiter bekräftigt. Erste Versuche haben gezeigt, dass die Triplekultur bezüglich ihrer Barriereeigenschaften und IL-8-Ausschüttung sensitiver auf z.B. TNF- oder LPS-Stimulation reagiert als die Kokultur. Verglichen mit konventionellen Monokulturen imitieren gut ausgebildete, multizelluräre Kokulturmodelle viel präziser das zelluläre Zusammenspiel im Körper. Darum liefern Nanopartikelinteraktionen mit dem in vitro-Triplekulturmodel aufschlussreichere Ergebnisse bezüglich umweltbedingter oder pharmazeutischer NP-Exposition in der distalen Lung als es uns bisher möglich war.

Mass spectrometric identification of Varicella-Zoster Virus (VZV) proteins recognized by human T cells

Primary varicella-zoster virus (VZV) infection during childhood leads to varicella commonly known as chickenpox. After primary infection has occurred VZV establishes latency in the host. During subsequent lifetime the virus can cause reactivated infection clinically known as herpes zoster or shingles. In immunodeficient patients’ dissemination of the virus can lead to life-threatening disease. Withdrawal of acyclovir drug prophylaxis puts allogeneic hematopoietic stem-cell transplantation (HSCT) patients at increased risk for herpes zoster as long as VZV-specific cellular immunity is impaired. Although an efficient live attenuated VZV vaccine for zoster prophylaxis exists, it is not approved in immunocompromised patients due to safety reasons. Knowledge of immunogenic VZV proteins would allow designing a noninfectious nonhazardous subunit vaccine suitable for patients with immunodeficiencies. The objective of this study was to identify T cell defined virus proteins of a VZV-infected Vero cell extract that we have recently described as a reliable antigen format for interferon-gamma (IFN-γ) enzyme-linked immunosorbent spot (ELISpot) assays (Distler et al. 2008). We first separated the VZV-infected/-uninfected Vero cell extracts by size filtration and reverse-phase high performance liquid chromatography (RP-HPLC). The collected fractions were screened for VZV reactivity with peripheral blood mononuclear cells (PBMCs) of VZV-seropositive healthy individuals in the sensitive IFN-γ ELISpot assay. Using this strategy, we successfully identified bioactive fractions that contained immunogenic VZV material. VZV immune reactivity was mediated by CD4+ memory T lymphocytes (T cells) of VZV-seropositive healthy individuals as demonstrated in experiments with HLA blockade antibodies and T cell subpopulations already published by Distler et al. We next analyzed the bioactive fractions with electrospray ionization mass spectrometry (ESI-MS) techniques and identified the sequences of three VZV-derived proteins: glycoprotein E (gE); glycoprotein B (gB), and immediate early protein 62 (IE62). Complementary DNA of these identified proteins was used to generate in vitro transcribed RNA for effective expression in PBMCs by electroporation. We thereby established a reliable and convenient IFN-γ ELISPOT approach to screen PBMCs of healthy donors and HSCT patients for T cell reactivity to single full-length VZV proteins. Application in 10 VZV seropositive healthy donors demonstrated much stronger recognition of glycoproteins gE and gB compared to IE62. In addition, monitoring experiments with ex vivo PBMCs of 3 allo-HSCT patients detected strongly increased CD4+ T cell responses to gE and gB for several weeks to months after zoster onset, while IE62 reactivity remained moderate. Overall our results show for the first time that VZV glycoproteins gE and gB are major targets of the post-transplant anti-zoster CD4+ T cell response. The screening approach introduced herein may help to select VZV proteins recognized by memory CD4+ T cells for inclusion in a subunit vaccine, which can be safely used for zoster prophylaxis in immunocompromised HSCT patients.

Generation and characterisation of acute myeloid leukaemia-reactive CD4 + T cells and their potential to eliminate human leukaemia blasts in NSG mice

Acute myeloid leukaemia (AML) is a cancer of the haematopoietic system, which can in many cases only be cured by haematopoietic stem cell transplantation (HSCT) and donor lymphocyte infusion (DLI) (Burnett et al., 2011). This therapy is associated with the beneficial graft-versus-leukaemia (GvL) effect mediated by transplanted donor T and NK cells that either recognise mismatch HLA molecules or polymorphic peptides, so-called minor histocompatibility antigens, leukaemia-associated or leukaemia-specific antigens in the patient and thus eliminate remaining leukaemic blasts. Nevertheless, the mature donor-derived cells often trigger graft-versus-host disease (GvHD), leading to severe damages in patients’ epithelial tissue, mainly skin, liver and intestine (Bleakley & Riddell, 2004). Therefore, approaches for the selective mediation of strong GvL effects are needed, also in order to prevent relapse after transplantation. One promising opportunity is the in vitro generation of AML-reactive CD4+ T cells for adoptive transfer. CD4+ T cells are advantageous compared to CD8+ T cells, as HLA class II molecules are under non-inflammatory conditions only expressed on haematopoietic cells; a fact that would minimise GvHD (Klein & Sato, 2000). In this study, naive CD4+ T cells were isolated from healthy donors and were successfully stimulated against primary AML blasts in mini-mixed lymphocyte/leukaemia cell cultures (mini-MLLC) in eight patient/donor pairs. After three to seven weekly restimulations, T cells were shown to produce TH1 type cytokines and to be partially of monoclonal origin according to their TCR Vβ chain usage. Furthermore, they exhibited lytic activity towards AML blasts, which was mediated by the release of granzymes A and B and perforin. The patient/donor pairs used in this study were fully HLA-class I matched, except for one pair, and also matched for HLA-DR and -DQ, whereas -DP was mismatched in one or both alleles, reflecting the actual donor selection procedure in the clinic (Begovich et al., 1992). Antibody blocking experiments suggested that the generated CD4+ T cells were directed against the HLA-DP mismatches, which could be confirmed by the recognition of donor-derived lymphoblastoid cell lines (LCLs) electroporated with the mismatched DP alleles. Under non-inflammatory conditions primary fibroblasts did not express HLA-DP and were thus not recognised, supporting the idea of a safer application of CD4+ T cells regarding induction of GvHD. For the assessment of the biological significance of these T cells, they were adoptively transferred into NSG mice engrafted with human AML blasts, where they migrated to the bone marrow and lymphoid tissue and succeeded in eliminating the leukaemic burden after only one week. Therefore, AML-reactive CD4+ T cells expanded from the naive compartment by in vitro stimulation with primary leukaemia blasts appear to be a potent tool for DLI in HSCT patients and promise to mediate specific GvL effects without causing GvHD.

Deep learning for computer vision: a comparison between convolutional neural networks and hierarchical temporal memories on object recognition tasks

In recent years, Deep Learning techniques have shown to perform well on a large variety of problems both in Computer Vision and Natural Language Processing, reaching and often surpassing the state of the art on many tasks. The rise of deep learning is also revolutionizing the entire field of Machine Learning and Pattern Recognition pushing forward the concepts of automatic feature extraction and unsupervised learning in general. However, despite the strong success both in science and business, deep learning has its own limitations. It is often questioned if such techniques are only some kind of brute-force statistical approaches and if they can only work in the context of High Performance Computing with tons of data. Another important question is whether they are really biologically inspired, as claimed in certain cases, and if they can scale well in terms of "intelligence". The dissertation is focused on trying to answer these key questions in the context of Computer Vision and, in particular, Object Recognition, a task that has been heavily revolutionized by recent advances in the field. Practically speaking, these answers are based on an exhaustive comparison between two, very different, deep learning techniques on the aforementioned task: Convolutional Neural Network (CNN) and Hierarchical Temporal memory (HTM). They stand for two different approaches and points of view within the big hat of deep learning and are the best choices to understand and point out strengths and weaknesses of each of them. CNN is considered one of the most classic and powerful supervised methods used today in machine learning and pattern recognition, especially in object recognition. CNNs are well received and accepted by the scientific community and are already deployed in large corporation like Google and Facebook for solving face recognition and image auto-tagging problems. HTM, on the other hand, is known as a new emerging paradigm and a new meanly-unsupervised method, that is more biologically inspired. It tries to gain more insights from the computational neuroscience community in order to incorporate concepts like time, context and attention during the learning process which are typical of the human brain. In the end, the thesis is supposed to prove that in certain cases, with a lower quantity of data, HTM can outperform CNN.

Innate-like control of human iNKT cell autoreactivity via the hypervariable CDR3beta loop

Invariant Natural Killer T cells (iNKT) are a versatile lymphocyte subset with important roles in both host defense and immunological tolerance. They express a highly conserved TCR which mediates recognition of the non-polymorphic, lipid-binding molecule CD1d. The structure of human iNKT TCRs is unique in that only one of the six complementarity determining region (CDR) loops, CDR3beta, is hypervariable. The role of this loop for iNKT biology has been controversial, and it is unresolved whether it contributes to iNKT TCR:CD1d binding or antigen selectivity. On the one hand, the CDR3beta loop is dispensable for iNKT TCR binding to CD1d molecules presenting the xenobiotic alpha-galactosylceramide ligand KRN7000, which elicits a strong functional response from mouse and human iNKT cells. However, a role for CDR3beta in the recognition of CD1d molecules presenting less potent ligands, such as self-lipids, is suggested by the clonal distribution of iNKT autoreactivity. We demonstrate that the human iNKT repertoire comprises subsets of greatly differing TCR affinity to CD1d, and that these differences relate to their autoreactive functions. These functionally different iNKT subsets segregate in their ability to bind CD1d-tetramers loaded with the partial agonist alpha-linked glycolipid antigen OCH and structurally different endogenous beta-glycosylceramides. Using surface plasmon resonance with recombinant iNKT TCRs and different ligand-CD1d complexes, we demonstrate that the CDR3beta sequence strongly impacts on the iNKT TCR affinity to CD1d, independent of the loaded CD1d ligand. Collectively our data reveal a crucial role for CDR3beta for the function of human iNKT cells by tuning the overall affinity of the iNKT TCR to CD1d. This mechanism is relatively independent of the bound CD1d ligand and thus forms the basis of an inherent, CDR3beta dependent functional hierarchy of human iNKT cells.

Rarely selected distractors in high stakes medical multiple-choice examinations and their recognition by item authors: A simulation and survey

Background Many medical exams use 5 options for multiple choice questions (MCQs), although the literature suggests that 3 options are optimal. Previous studies on this topic have often been based on non-medical examinations, so we sought to analyse rarely selected, 'non-functional' distractors (NF-D) in high stakes medical examinations, and their detection by item authors as well as psychometric changes resulting from a reduction in the number of options. Methods Based on Swiss Federal MCQ examinations from 2005-2007, the frequency of NF-D (selected by <1% or <5% of the candidates) was calculated. Distractors that were chosen the least or second least were identified and candidates who chose them were allocated to the remaining options using two extreme assumptions about their hypothetical behaviour: In case rarely selected distractors were eliminated, candidates could randomly choose another option - or purposively choose the correct answer, from which they had originally been distracted. In a second step, 37 experts were asked to mark the least plausible options. The consequences of a reduction from 4 to 3 or 2 distractors - based on item statistics or on the experts' ratings - with respect to difficulty, discrimination and reliability were modelled. Results About 70% of the 5-option-items had at least 1 NF-D selected by <1% of the candidates (97% for NF-Ds selected by <5%). Only a reduction to 2 distractors and assuming that candidates would switch to the correct answer in the absence of a 'non-functional' distractor led to relevant differences in reliability and difficulty (and to a lesser degree discrimination). The experts' ratings resulted in slightly greater changes compared to the statistical approach. Conclusions Based on item statistics and/or an expert panel's recommendation, the choice of a varying number of 3-4 (or partly 2) plausible distractors could be performed without marked deteriorations in psychometric characteristics.