Tecniche per il controllo dinamico del consumo di potenza per piattaforme system-on-chip

Providing support for multimedia applications on low-power mobile devices remains a significant research challenge. This is primarily due to two reasons: • Portable mobile devices have modest sizes and weights, and therefore inadequate resources, low CPU processing power, reduced display capabilities, limited memory and battery lifetimes as compared to desktop and laptop systems. • On the other hand, multimedia applications tend to have distinctive QoS and processing requirementswhichmake themextremely resource-demanding. This innate conflict introduces key research challenges in the design of multimedia applications and device-level power optimization. Energy efficiency in this kind of platforms can be achieved only via a synergistic hardware and software approach. In fact, while System-on-Chips are more and more programmable thus providing functional flexibility, hardwareonly power reduction techniques cannot maintain consumption under acceptable bounds. It is well understood both in research and industry that system configuration andmanagement cannot be controlled efficiently only relying on low-level firmware and hardware drivers. In fact, at this level there is lack of information about user application activity and consequently about the impact of power management decision on QoS. Even though operating system support and integration is a requirement for effective performance and energy management, more effective and QoSsensitive power management is possible if power awareness and hardware configuration control strategies are tightly integratedwith domain-specificmiddleware services. The main objective of this PhD research has been the exploration and the integration of amiddleware-centric energymanagement with applications and operating-system. We choose to focus on the CPU-memory and the video subsystems, since they are the most power-hungry components of an embedded system. A second main objective has been the definition and implementation of software facilities (like toolkits, API, and run-time engines) in order to improve programmability and performance efficiency of such platforms. Enhancing energy efficiency and programmability ofmodernMulti-Processor System-on-Chips (MPSoCs) Consumer applications are characterized by tight time-to-market constraints and extreme cost sensitivity. The software that runs on modern embedded systems must be high performance, real time, and even more important low power. Although much progress has been made on these problems, much remains to be done. Multi-processor System-on-Chip (MPSoC) are increasingly popular platforms for high performance embedded applications. This leads to interesting challenges in software development since efficient software development is a major issue for MPSoc designers. An important step in deploying applications on multiprocessors is to allocate and schedule concurrent tasks to the processing and communication resources of the platform. The problem of allocating and scheduling precedenceconstrained tasks on processors in a distributed real-time system is NP-hard. There is a clear need for deployment technology that addresses thesemulti processing issues. This problem can be tackled by means of specific middleware which takes care of allocating and scheduling tasks on the different processing elements and which tries also to optimize the power consumption of the entire multiprocessor platform. This dissertation is an attempt to develop insight into efficient, flexible and optimalmethods for allocating and scheduling concurrent applications tomultiprocessor architectures. It is a well-known problem in literature: this kind of optimization problems are very complex even in much simplified variants, therefore most authors propose simplified models and heuristic approaches to solve it in reasonable time. Model simplification is often achieved by abstracting away platform implementation ”details”. As a result, optimization problems become more tractable, even reaching polynomial time complexity. Unfortunately, this approach creates an abstraction gap between the optimization model and the real HW-SW platform. The main issue with heuristic or, more in general, with incomplete search is that they introduce an optimality gap of unknown size. They provide very limited or no information on the distance between the best computed solution and the optimal one. The goal of this work is to address both abstraction and optimality gaps, formulating accurate models which accounts for a number of ”non-idealities” in real-life hardware platforms, developing novel mapping algorithms that deterministically find optimal solutions, and implementing software infrastructures required by developers to deploy applications for the targetMPSoC platforms. Energy Efficient LCDBacklightAutoregulation on Real-LifeMultimediaAp- plication Processor Despite the ever increasing advances in Liquid Crystal Display’s (LCD) technology, their power consumption is still one of the major limitations to the battery life of mobile appliances such as smart phones, portable media players, gaming and navigation devices. There is a clear trend towards the increase of LCD size to exploit the multimedia capabilities of portable devices that can receive and render high definition video and pictures. Multimedia applications running on these devices require LCD screen sizes of 2.2 to 3.5 inches andmore to display video sequences and pictures with the required quality. LCD power consumption is dependent on the backlight and pixel matrix driving circuits and is typically proportional to the panel area. As a result, the contribution is also likely to be considerable in future mobile appliances. To address this issue, companies are proposing low power technologies suitable for mobile applications supporting low power states and image control techniques. On the research side, several power saving schemes and algorithms can be found in literature. Some of them exploit software-only techniques to change the image content to reduce the power associated with the crystal polarization, some others are aimed at decreasing the backlight level while compensating the luminance reduction by compensating the user perceived quality degradation using pixel-by-pixel image processing algorithms. The major limitation of these techniques is that they rely on the CPU to perform pixel-based manipulations and their impact on CPU utilization and power consumption has not been assessed. This PhDdissertation shows an alternative approach that exploits in a smart and efficient way the hardware image processing unit almost integrated in every current multimedia application processors to implement a hardware assisted image compensation that allows dynamic scaling of the backlight with a negligible impact on QoS. The proposed approach overcomes CPU-intensive techniques by saving system power without requiring either a dedicated display technology or hardware modification. Thesis Overview The remainder of the thesis is organized as follows. The first part is focused on enhancing energy efficiency and programmability of modern Multi-Processor System-on-Chips (MPSoCs). Chapter 2 gives an overview about architectural trends in embedded systems, illustrating the principal features of new technologies and the key challenges still open. Chapter 3 presents a QoS-driven methodology for optimal allocation and frequency selection for MPSoCs. The methodology is based on functional simulation and full system power estimation. Chapter 4 targets allocation and scheduling of pipelined stream-oriented applications on top of distributed memory architectures with messaging support. We tackled the complexity of the problem by means of decomposition and no-good generation, and prove the increased computational efficiency of this approach with respect to traditional ones. Chapter 5 presents a cooperative framework to solve the allocation, scheduling and voltage/frequency selection problem to optimality for energyefficient MPSoCs, while in Chapter 6 applications with conditional task graph are taken into account. Finally Chapter 7 proposes a complete framework, called Cellflow, to help programmers in efficient software implementation on a real architecture, the Cell Broadband Engine processor. The second part is focused on energy efficient software techniques for LCD displays. Chapter 8 gives an overview about portable device display technologies, illustrating the principal features of LCD video systems and the key challenges still open. Chapter 9 shows several energy efficient software techniques present in literature, while Chapter 10 illustrates in details our method for saving significant power in an LCD panel. Finally, conclusions are drawn, reporting the main research contributions that have been discussed throughout this dissertation.

Synthesis, multiscale-multiphase characterization and applications of thiophene-based biohybrids

Biohybrid derivatives of π-conjugated materials are emerging as powerful tools to study biological events through the (opto)electronic variations of the π-conjugated moieties, as well as to direct and govern the self-assembly properties of the organic materials through the organization principles of the bio component. So far, very few examples of thiophene-based biohybrids have been reported. The aim of this Ph. D thesis has been the development of oligothiophene-oligonucleotide hybrid derivatives as tools, on one side, to detect DNA hybridisation events and, on the other, as model compounds to investigate thiophene-nucleobase interactions in the solid state. To obtain oligothiophene bioconjugates with the required high level of purity, we first developed new synthetic ecofriendly protocols for the synthesis of thiophene oligomers. Our innovative heterogeneous Suzuki coupling methodology, carried out in EtOH/water or isopropanol under microwave irradiation, allowed us to obtain alkyl substituted oligothiophenes and thiophene based co-oligomers in high yields and very short reaction times, free from residual metals and with improved film forming properties. These methodologies were subsequently applied in the synthesis of oligothiophene-oligonucleotide conjugates. Oligothiophene-5-labeled deoxyuridines were synthesized and incorporated into 19-meric oligonucletide sequences. We showed that the oligothiophene-labeled oligonucletide sequences obtained can be used as probes to detect a single nucleotide polymorphism (SNP) in complementary DNA target sequences. In fact, all the probes showed marked variations in emission intensity upon hybridization with a complementary target sequence. The observed variations in emitted light were comparable or even superior to those reported in similar studies, showing that the biohybrids can potentially be useful to develop biosensors for the detection of DNA mismatches. Finally, water-soluble, photoluminescent and electroactive dinucleotide-hybrid derivatives of quaterthiophene and quinquethiophene were synthesized. By means of a combination of spectroscopy and microscopy techniques, electrical characterizations, microfluidic measurements and theoretical calculations, we were able to demonstrate that the self-assembly modalities of the biohybrids in thin films are driven by the interplay of intra and intermolecular interactions in which the π-stacking between the oligothiophene and nucleotide bases plays a major role.

Reconstruction from image correspondences

A single picture provides a largely incomplete representation of the scene one is looking at. Usually it reproduces only a limited spatial portion of the scene according to the standpoint and the viewing angle, besides it contains only instantaneous information. Thus very little can be understood on the geometrical structure of the scene, the position and orientation of the observer with respect to it remaining also hard to guess. When multiple views, taken from different positions in space and time, observe the same scene, then a much deeper knowledge is potentially achievable. Understanding inter-views relations enables construction of a collective representation by fusing the information contained in every single image. Visual reconstruction methods confront with the formidable, and still unanswered, challenge of delivering a comprehensive representation of structure, motion and appearance of a scene from visual information. Multi-view visual reconstruction deals with the inference of relations among multiple views and the exploitation of revealed connections to attain the best possible representation. This thesis investigates novel methods and applications in the field of visual reconstruction from multiple views. Three main threads of research have been pursued: dense geometric reconstruction, camera pose reconstruction, sparse geometric reconstruction of deformable surfaces. Dense geometric reconstruction aims at delivering the appearance of a scene at every single point. The construction of a large panoramic image from a set of traditional pictures has been extensively studied in the context of image mosaicing techniques. An original algorithm for sequential registration suitable for real-time applications has been conceived. The integration of the algorithm into a visual surveillance system has lead to robust and efficient motion detection with Pan-Tilt-Zoom cameras. Moreover, an evaluation methodology for quantitatively assessing and comparing image mosaicing algorithms has been devised and made available to the community. Camera pose reconstruction deals with the recovery of the camera trajectory across an image sequence. A novel mosaic-based pose reconstruction algorithm has been conceived that exploit image-mosaics and traditional pose estimation algorithms to deliver more accurate estimates. An innovative markerless vision-based human-machine interface has also been proposed, so as to allow a user to interact with a gaming applications by moving a hand held consumer grade camera in unstructured environments. Finally, sparse geometric reconstruction refers to the computation of the coarse geometry of an object at few preset points. In this thesis, an innovative shape reconstruction algorithm for deformable objects has been designed. A cooperation with the Solar Impulse project allowed to deploy the algorithm in a very challenging real-world scenario, i.e. the accurate measurements of airplane wings deformations.

Determinazione di amminotioli mediante elettroforesi capillare

The aminothiols are critical cellular components that play numerous and important roles in metabolism as key extracellular reducing agents, critical substrates for proteins synthesis and detoxificants of free radicals and peroxides. Because altered thiols levels in body fluids are linked to specific pathological conditions, their measurement is thus considered very important. One method to determine these compounds is the capillary electrophoresis, a technique that involves the separation of charged molecules on the basis of their movement under the influence of an applied electric field. The instrument used in this work is equipped with an amperometric detector recording the current of the thiols oxidized at the end of the capillary at a BDD electrode. The aim of this work is to find a valid method for the separations of the aminothiols analyzed, in terms of capillary coating and experimental conditions. In order to find an alternative and less expensive electrode than BDD and to increase sensitivity for the detection of the thiols, a modified electrode consisting in a carbon paste electrode containing Cobalt-phthalocyanine has been studied. In this electrode Cobalt-phthalocyanine works as electrocatalyst to enhance the oxidation reaction, meanwhile the graphite acts as conductive mean. This kind of electrode shows great sensibility and low detection limits for the thiols that have a free thiolic group, but it is not sensible to disulfides. The analysis of human plasma point out that the best method found for the capillary electrophoresis is not useful for the detection of aminothiols in a healthy person, because the very low concentrations in which they are present.

Myc-mediated control of gene transcription in cancer cells

The Myc oncoproteins belong to a family of transcription factors composed by Myc, N-Myc and L-Myc. The most studied components of this family are Myc and N-Myc because their expressions are frequently deregulated in a wide range of cancers. These oncoproteins can act both as activators or repressors of gene transcription. As activators, they heterodimerize with Max (Myc associated X-factor) and the heterodimer recognizes and binds a specific sequence elements (E-Box) onto gene promoters recruiting histone acetylase and inducing transcriptional activation. Myc-mediated transcriptional repression is a quite debated issue. One of the first mechanisms defined for the Myc-mediated transcriptional repression consisted in the interaction of Myc-Max complex Sp1 and/or Miz1 transcription factors already bound to gene promoters. This interaction may interfere with their activation functions by recruiting co-repressors such as Dnmt3 or HDACs. Moreover, in the absence of , Myc may interfere with the Sp1 activation function by direct interaction and subsequent recruitment of HDACs. More recently the Myc/Max complex was also shown to mediate transcriptional repression by direct binding to peculiar E-box. In this study we analyzed the role of Myc overexpression in Osteosarcoma and Neuroblastoma oncogenesis and the mechanisms underling to Myc function. Myc overexpression is known to correlate with chemoresistance in Osteosarcoma cells. We extended this study by demonstrating that c-Myc induces transcription of a panel of ABC drug transporter genes. ABCs are a large family trans-membrane transporter deeply involved in multi drug resistance. Furthermore expression levels of Myc, ABCC1, ABCC4 and ABCF1 were proved to be important prognostic tool to predict conventional therapy failure. N-Myc amplification/overexpression is the most important prognostic factor for Neuroblastoma. Cyclin G2 and Clusterin are two genes often down regulated in neuroblastoma cells. Cyclin G2 is an atypical member of Cyclin family and its expression is associated with terminal differentiation and apoptosis. Moreover it blocks cell cycle progression and induces cell growth arrest. Instead, CLU is a multifunctional protein involved in many physiological and pathological processes. Several lines of evidences support the view that CLU may act as a tumour suppressor in Neuroblastoma. In this thesis I showed that N-Myc represses CCNG2 and CLU transcription by different mechanisms. • N-Myc represses CCNG2 transcription by directly interacting with Sp1 bound in CCNG2 promoter and recruiting HDAC2. Importantly, reactivation of CCNG2 expression through epigenetic drugs partially reduces N-Myc and HDAC2 mediated cell proliferation. • N-Myc/Max complex represses CLU expression by direct binding to a peculiar E-box element on CLU promoter and by recruitment of HDACs and Polycomb Complexes, to the CLU promoter. Overall our findings strongly support the model in which Myc overexpression/amplification may contribute to some aspects of oncogenesis by a dual action: i) transcription activation of genes that confer a multidrug resistant phenotype to cancer cells; ii), transcription repression of genes involved in cell cycle inhibition and cellular differentiation.

Kalorimetrische Tieftemperaturdetektoren für niederenergetische (E 1 MeV/amu) Schwerionen und ihr erster Einsatz in der Beschleuniger-Massenspektrometrie zur Spurenanalyse von 236 U

Im Rahmen der vorliegenden Arbeit wurden zum ersten Mal kalorimetrische Tieftemperatur-Detektoren in der Beschleuniger-Massenspektrometrie (Accelerator Mass Spectrometry AMS), einer Standard-Methode zur Bestimmung kleinster Isotopenverhältnisse, eingesetzt, um das Isotopenverhältnis von 236U zu 238U zu bestimmen. Das Uran-Isotop 236U entsteht in der Neutroneneinfang-Reaktion 235U(n,gamma)236U und kann daher als Monitor-Nuklid für Neutronenflüsse verwendet werden. Die Detektoren bestehen aus einem Saphir-Absorber, auf den ein supraleitender Aluminium-Film aufgedampft ist, der als Thermistor dient. Ein energetisches Schwerion deponiert seine kinetische Energie als Wärme im Absorber, dessen Temperaturänderung durch die Widerstandsänderung des Supraleiters nachgewiesen wird. Mit solchen Detektoren konnte in vorhergehenden Experimenten bei GSI in einem Energiebereich von E = 5 - 300 MeV/amu für eine Vielzahl von Ionen von Neon bis Uran eine relative Energieauflösung von (1 - 4) E-3 erreicht werden. Der für die Beschleuniger-Massenspektrometrie typische Energiebereich liegt bei E = 0.1 - 1 MeV/amu. Im ersten Schritt wurde daher die systematische Untersuchung der Detektoreigenschaften auf diesen Energiebereich ausgedehnt. Diese Untersuchungen sowie die AMS-Messungen wurden am Tandem-Beschleuniger VERA des Instituts für Isotopenforschung und Kernphysik der Universität Wien durchgeführt. In einem Energiebereich von 10 - 60 MeV konnte für verschiedene Ionen (13C, 197Au, 238U) zunächst eine relative Energieauflösung von DeltaE/E = 7 E-3 erreicht werden. Dies übertrifft die Auflösung konventioneller Ionisations-Detektoren um ca. eine Größenordnung. Durch eine Verbesserung thermischer und elektronischer Rauschbeiträge konnte in einem zweiten Experiment für Uran der Energie 17 MeV die Auflösung auf DeltaE/E = 4.6 E-3 verbessert werden. Die Energie-Response des Detektors war linear über den gesamten beobachteten Energiebereich und unabhängig von der Ionenmasse; bis auf ein Niveau von 0.1 % wurde kein Pulshöhendefekt beobachtet. Diese Ergebnisse zeigen, daß solche Detektoren ein wertvolles Werkzeug in der Schwerionenphysik im Bereich relativ niedriger Ionenenergien darstellen. Mit der erreichten Energieauflösung war es möglich, für mehrere Proben aus natürlichem Uran das Isotopenverhältnis 236U/238U zu bestimmen: Um einen Material-Standard für Uran in der AMS zu etablieren, wurde das Isotopenverhältnis 236U/238U für zwei Proben aus der Mine ''K.u.K. Joachimsthal'' möglichst präzise bestimmt. Die Ergebnisse in der vorliegenden Arbeit stimmen gut mit früheren Messungen überein, die mit einem konventionellen Detektorsystem durchgeführt wurden. Sowohl der statistische als auch der systematische Fehler konnten deutlich reduziert werden. Für eine weitere Probe, extrahiert aus dem Wasser einer Uran-haltigen Quelle in Bad Gastein, wurde ein Isotopenverhältnis von 6.1 E-12 gemessen. Dies stellt das kleinste bislang für 236U/238U gemessene Isotopenverhältnis dar und bedeutet eine Steigerung der Sensitivität um eine Größenordnung. Die erreichte Energieauflösung ermöglicht es außerdem, die Detektoren zur direkten Massenidentifikation von schweren Ionen mittels einer kombinierten Energie-Flugzeit-Messung einzusetzen. In ersten Test-Messungen im Rahmen der vorliegenden Arbeit wurde eine Massenauflösung von DeltaM/M = (8.5 - 11.0) E-3 erreicht. In einem ersten Test für den Einsatz dieser Detektoren zum Nachweis sog. ''superschwerer Elemente (Z >= 112)'' erlaubte der große dynamische Bereich, die Reaktionsprodukte und ihre nachfolgenden Alpha-Zerfälle mit hoher Energieauflösung simultan und zeitaufgelöst nachzuweisen.

Identifizierung und Quantifizierung von sauren Markersubstanzen für troposphärisches sekundäres organisches Aerosol aus biogenen Kohlenwasserstoffen mittels Kapillar-HPLC-ESI-MS n

Sekundäres organisches Aerosol (SOA) ist ein wichtiger Bestandteil von atmosphärischen Aerosolpartikeln. Atmosphärische Aerosole sind bedeutsam, da sie das Klima über direkte (Streuung und Absorption von Strahlung) und indirekte (Wolken-Kondensationskeime) Effekte beeinflussen. Nach bisherigen Schätzungen ist die SOA-Bildung aus biogenen Kohlenwasserstoffen global weit wichtiger als die SOA-Bildung aus anthropogenen Kohlenwasserstoffen. Reaktive Kohlenwasserstoffe, die in großen Mengen von der Vegetation emittiert werden und als die wichtigsten Vorläufersubstanzen für biogenes SOA gelten, sind die Terpene. In der vorliegenden Arbeit wurde eine Methode entwickelt, welche die Quantifizierung von aciden Produkten der Terpen-Oxidation ermöglicht. Die Abscheidung des größenselektierten Aerosols (PM 2.5) erfolgte auf Quarzfilter, die unter Zuhilfenahme von Ultraschall mittels Methanol extrahiert wurden. Nach Aufkonzentrierung und Lösungsmittelwechsel auf Wasser sowie Standardaddition wurden die Proben mit einer Kapillar-HPLC-ESI-MSn-Methode analysiert. Das verwendete Ionenfallen-Massenspektrometer (LCQ-DECA) bietet die Möglichkeit, Strukturaufklärung durch selektive Fragmentierung der Qasimolekülionen zu betreiben. Die Quantifizierung erfolgte teilweise im MS/MS-Modus, wodurch Selektivität und Nachweisgrenze verbessert werden konnten. Um Produkte der Terpen-Oxidation zu identifizieren, die nicht als Standards erhältlich waren, wurden Ozonolysexperimente durchgeführt. Dadurch gelang die Identifizierung einer Reihe von Oxidationsprodukten in Realproben. Neben schon bekannten Produkten der Terpen-Oxidation konnten einige Produkte erstmals in Realproben eindeutig als Produkte des α Pinens nachgewiesen werden. In den Proben der Ozonolyseexperimente konnten auch Produkte mit hohem Molekulargewicht (>300 u) nachgewiesen werden, die Ähnlichkeit zeigen zu den als Dimeren oder Polymeren in der Literatur bezeichneten Substanzen. Sie konnten jedoch nicht in Feldproben gefunden werden. Im Rahmen von 5 Messkampagnen in Deutschland und Finnland wurden Proben der atmosphärischen Partikelphase genommen. Die Quantifizierung von Produkten der Oxidation von α-Pinen, β-Pinen, 3-Caren, Sabinen und Limonen in diesen Proben ergab eine große zeitliche und örtliche Variationsbreite der Konzentrationen. Die Konzentration von Pinsäure bewegte sich beispielsweise zwischen etwa 0,4 und 21 ng/m³ während aller Messkampagnen. Es konnten stets Produkte verschiedener Terpene nachgewiesen werden. Produkte einiger Terpene eignen sich sogar als Markersubstanzen für verschiedene Pflanzenarten. Sabinen-Produkte wie Sabinsäure können als Marker für die Emissionen von Laubbäumen wie Buchen oder Birken verwendet werden, während Caren-Produkte wie Caronsäure als Marker für Nadelbäume, speziell Kiefern, verwendet werden können. Mit den quantifizierten Substanzen als Marker wurde unter zu Hilfenahme von Messungen des Gehaltes an organischem und elementarem Kohlenstoff im Aerosol der Anteil des sekundären organischen Aerosols (SOA) errechnet, der von der Ozonolyse der Terpene stammt. Erstaunlicherweise konnten nur 1% bis 8% des SOA auf die Ozonolyse der Terpene zurückgeführt werden. Dies steht im Gegensatz zu der bisherigen Meinung, dass die Ozonolyse der Terpene die wichtigste Quelle für biogenes SOA darstellt. Gründe für diese Diskrepanz werden in der Arbeit diskutiert. Um die atmosphärischen Prozesse der Bildung von SOA vollständig zu verstehen, müssen jedoch noch weitere Anstrengungen unternommen werden.

New approach in the diagnosis and therapy of hyperphenylalaninemia

Background. Phenylketonuria is the most prevalent inborn error of aminoacid metabolism. Is an autosomal recessive disorder. It results from mutations in the phenylalanine hydroxilase (PAH) gene. Phenotypes can vary from mild hyperphenylalaninemia to a severe phenylketonuria wich, if untreated, results in severe mental retardation. Thanks to neonatal screening programmes, early detection and promp dietetic intervention (phenylalanine restricted diet lifelong) has allowed to avoid neurocognitive complications. Recently, a new therapy is become widely used: the oral supplementation with the PAH cofactor (BH4), wich can alleviate the diet burden. Genotype-phenotype correlation is a reliable tool to predict metabolic phenotype in order to establish a better tailored diet and to assess the potential responsiveness to BH4 therapy. Aim Molecular analysis of the PAH gene, evaluation of genotype-phenotype correlation and prediction of BH4 responsiveness in a group of HPA patients living in Emilia Romagna. Patients and methods. We studied 48 patients affected by PAH deficiency in regular follow-up to our Metabolic Centre. We performed the molecular analysis of these patients using genomic DNA extracted from peripheral blood samples Results. We obtained a full genotipic characterization of 46 patients. We found 87 mutant alleles and 35 different mutations, being the most frequent IVS10-11 G>A (19.3%), R261Q (9.1%), R158Q (9.1%), R408Q (6.8%) and A403V (5.7%), including 2 new ones (L287, N223Y) ever described previously. Notably, we found 15 mutations already identified in BH4-responsive patients, according to the literature. We found 42 different genotipic combinations, most of them in single patients and involving a BH4-responsive mutation. Conclusion. BH4 responsiveness is shown by a consistent number of PAH deficient hyperphenylalaninemic patients. This treatment, combined with a less restricted diet or as monotherapy, can reduce nutritional complications and improve the quality of life of these patients.

Machine-learning methods for structure prediction of β-barrel membrane proteins

Different types of proteins exist with diverse functions that are essential for living organisms. An important class of proteins is represented by transmembrane proteins which are specifically designed to be inserted into biological membranes and devised to perform very important functions in the cell such as cell communication and active transport across the membrane. Transmembrane β-barrels (TMBBs) are a sub-class of membrane proteins largely under-represented in structure databases because of the extreme difficulty in experimental structure determination. For this reason, computational tools that are able to predict the structure of TMBBs are needed. In this thesis, two computational problems related to TMBBs were addressed: the detection of TMBBs in large datasets of proteins and the prediction of the topology of TMBB proteins. Firstly, a method for TMBB detection was presented based on a novel neural network framework for variable-length sequence classification. The proposed approach was validated on a non-redundant dataset of proteins. Furthermore, we carried-out genome-wide detection using the entire Escherichia coli proteome. In both experiments, the method significantly outperformed other existing state-of-the-art approaches, reaching very high PPV (92%) and MCC (0.82). Secondly, a method was also introduced for TMBB topology prediction. The proposed approach is based on grammatical modelling and probabilistic discriminative models for sequence data labeling. The method was evaluated using a newly generated dataset of 38 TMBB proteins obtained from high-resolution data in the PDB. Results have shown that the model is able to correctly predict topologies of 25 out of 38 protein chains in the dataset. When tested on previously released datasets, the performances of the proposed approach were measured as comparable or superior to the current state-of-the-art of TMBB topology prediction.

Entwicklung eines immunologischen Testsystems zur Detektion des marinen Biotoxins Domoinsäure

Domoinsäure ist ein von mehreren Arten mariner Kieselalgen der Gattung Pseudonitzschia produziertes Toxin, welches während einer Algenblüte in Molluscen wie z.B. der Miesmuschel Mytilus sp. akkumuliert werden kann. Beim Verzehr solch kontaminierter Muscheln können sowohl beim Menschen als auch bei Tieren erhebliche Vergiftungserscheinungen auftreten, die von Übelkeit, Kopfschmerzen und Orientierungsstörungen bis hin zum Verlust des Kurzzeitgedächtnisses (daher auch als amnesic shellfish poisoning bekannt) reichen und in einigen Fällen tödlich enden. rnDie heute gängigen Methoden zur Detektion von Domoinsäure in Muschelgewebe wie Flüssigkeitschromatographie und Maus-Bioassay sind zeit- und kostenintensiv bzw. in Anbetracht einer Verbesserung des Tierschutzes aus ethischer Sicht nicht zu vertreten. Immunologische Testsysteme stellen eine erstrebenswerte Alternative dar, da sie sich durch eine vergleichsweise einfache Handhabung, hohe Selektivität und Reproduzierbarkeit auszeichnen.rnDas Ziel der vorliegenden Arbeit war es, ein solches immunologisches Testsystem zur Detektion von Domoinsäure zu entwickeln. Hierfür wurden zunächst Antikörper gegen Domoinsäure gewonnen, wofür das Toxin wiederum als erstes über die Carbodiimid-Methode an das Trägerprotein keyhole limpet hemocyanin (KLH) gekoppelt wurde, um eine Immunantwort auslösen zu können. Kaninchen und Mäuse wurden mit KLH-DO-Konjugaten nach vorgegebenen Immunisierungsschemata immunisiert. Nach vier Blutabnahmen zeigte das polyklonale Kaninchenantiserum eine ausreichend hohe Sensitivität zum Antigen; das nachfolgende Detektionssystem wurde mit Hilfe dieses polyklonalen Antikörpers aufgebaut. Zwar ist es gegen Ende der Arbeit auch gelungen, einen spezifischen monoklonalen Antikörper aus der Maus zu gewinnen, jedoch konnte dieser aus zeitlichen Gründen nicht mehr im Detektionssystem etabliert werden, was durchaus wünschenswert gewesen wäre. rnWeiterhin wurde Domoinsäure im Zuge der Entwicklung eines neuartigen Testsystems an die Trägerproteine Ovalbumin, Trypsininhibitor und Casein sowie an Biotin konjugiert. Die Kopplungserfolge wurden im ELISA, Western Blot bzw. Dot Blot nachgewiesen. Die Ovalbumin-gekoppelte sowie die biotinylierte Domoinsäure dienten im Folgenden als die zu messenden Größen in den Detektionsassays- die in einer zu untersuchenden Probe vorhandende, kompetitierende Domoinsäure wurde somit indirekt nachgewiesen. rnDer zulässige Höchstwert für Domoinsäure liegt bei 20 µg/g Muschelgewebe. Sowohl mit Biotin-DO als auch mit OVA-DO als den zu messenden Größen waren Domoinsäurekonzentrationen unterhalb dieses Grenzwertes nachweisbar; allerdings erwies sich der Aufbau mit Biotin-DO um das ca. 20-fache empfindlicher als jener mit OVA-DO. rnDie in dieser Arbeit präsentierten Ergebnisse könnten als Grundlage zur Etablierung eines kommerzialisierbaren immunologischen Testsystems zur Detektion von Domoinsäure und anderen Biotoxinen dienen. Nach erfolgreicher Validierung wäre ein solches Testsystem in seiner Handhabung einfacher als die gängige Flüssigkeitschromatographie und besser reproduzierbar als der Maus-Bioassay.rn

Aufbau und Charakterisierung eines flugzeuggetragenen Einzelpartikel-Massenspektrometers

Im Rahmen dieser Arbeit wurde ein flugzeuggetragenes Laserablations-Einzelpartikel-Massenspektrometer von Grund auf entworfen, gebaut, charakterisiert und auf verschiedenen Feldmesskampagnen eingesetzt. Das ALABAMA (Aircraft-based Laser ABlation Aerosol MAss Spectrometer) ist in der Lage die chemische Zusammensetzung und Größe von einzelnen Aerosolpartikeln im submikrometer-Bereich (135 – 900 nm) zu untersuchen.rnNach dem Fokussieren in einer aerodynamischen Linse wird dafür zunächst derrnaerodynamische Durchmesser der einzelnen Partikel mit Hilfe einer Flugzeitmessung zwischen zwei Dauerstrichlasern bestimmt. Anschließend werden die zuvor detektierten und klassifizierten Partikel durch einen gezielten Laserpuls einzeln verdampft und ionisiert. Die Ionen werden in einem bipolaren Flugzeit-Massenspektrometer entsprechend ihrem Masse zu- Ladungs Verhältnisses getrennt und detektiert. Die entstehenden Massenspektren bieten einen detaillierten Einblick in die chemische Struktur der einzelnen Partikel.rnDas gesamte Instrument wurde so konzipiert, dass es auf dem neuen Höhenforschungsflugzeug HALO und anderen mobilen Plattformen eingesetzt werden kann. Um dies zu ermöglichen wurden alle Komponenten in einem Rahmen mit weniger als 0.45 m³ Volumen untergebracht. Das gesamte Instrument inklusive Rahmen wiegt weniger als 150 kg und erfüllt die strengen sicherheitsvorschriften für den Betrieb an Bord von Forschungsflugzeugen. Damit ist ALABAMA das kleinste und leichteste Instrument seiner Art.rnNach dem Aufbau wurden die Eigenschaften und Grenzen aller Komponenten detailliert im Labor und auf Messkampagnen charakterisiert. Dafür wurden zunächst die Eigenschaften des Partikelstrahls, wie beispielsweise Strahlbreite und –divergenz, ausführlich untersucht. Die Ergebnisse waren wichtig, um die späteren Messungen der Detektions- und Ablationseffizienz zu validieren.rnBei den anschließenden Effizienzmessungen wurde gezeigt, dass abhängig von ihrer Größe und Beschaffenheit, bis zu 86 % der vorhandenen Aerosolpartikel erfolgreich detektiert und größenklassifiziert werden. Bis zu 99.5 % der detektierten Partikel konnten ionisiert und somit chemisch untersucht werden. Diese sehr hohen Effizienzen sind insbesondere für Messungen in großer Höhe entscheidend, da dort zum Teil nur sehr geringe Partikelkonzentrationen vorliegen.rnDas bipolare Massenspektrometer erzielt durchschnittliche Massenauflösungen von bis zu R=331. Während Labor- und Feldmessungen konnten dadurch Elemente wie Au, Rb, Co, Ni, Si, Ti und Pb eindeutig anhand ihres Isotopenmusters zugeordnet werden.rnErste Messungen an Bord eines ATR-42 Forschungsflugzeuges während der MEGAPOLI Kampagne in Paris ergaben einen umfassenden Datensatz von Aerosolpartikeln innerhalb der planetaren Grenzschicht. Das ALABAMA konnte unter harten physischen Bedingungen (Temperaturen > 40°C, Beschleunigungen +/- 2 g) verlässlich und präzise betrieben werden. Anhand von charakteristischen Signalen in den Massenspektren konnten die Partikel zuverlässig in 8 chemische Klassen unterteilt werden. Einzelne Klassen konnten dabei bestimmten Quellen zugeordnet werden. So ließen sich beispielsweise Partikel mit starkerrnNatrium- und Kaliumsignatur eindeutig auf die Verbrennung von Biomasse zurückführen.rnALABAMA ist damit ein wertvolles Instrument um Partikel in-situ zu charakterisieren und somit verschiedenste wissenschaftliche Fragestellungen, insbesondere im Bereich der Atmosphärenforschung, zu untersuchen.

Fluctuation spectroscopy of single plasmonic nanostructures

Plasmonic nanoparticles are great candidates for sensing applications with optical read-out. Plasmon sensing is based on the interaction of the nanoparticle with electromagnetic waves where the particle scatters light at its resonance wavelength. This wavelength depends on several intrinsic factors like material, shape and size of the nanoparticle as well as extrinsic factors like the refractive index of the surrounding medium. The latter allows the nanoparticle to be used as a sensor; changes in the proximate environment can be directly monitored by the wavelength of the emitted light. Due to their minuscule size and high sensitivity this allows individual nanoparticles to report on changes in particle coverage.rnrnTo use this single particle plasmon sensor for future sensing applications it has to meet the demand for detection of incidents on the single molecule level, such as single molecule sensing or even the detection of conformational changes of a single molecule. Therefore, time resolution and sensitivity have to be enhanced as today’s measurement methods for signal read-out are too slow and not sensitive enough to resolve these processes. This thesis presents a new experimental setup, the 'Plasmon Fluctuation Setup', that leads to tremendous improvements in time resolution and sensitivity. This is achieved by implementation of a stronger light source and a more sensitive detector. The new setup has a time resolution in the microsecond regime, an advancement of 4-6 orders of magnitude to previous setups. Its resonance wavelength stability of 0.03 nm, measured with an exposure time of 10 ms, is an improvement of a factor of 20 even though the exposure time is 3000 times shorter than in previous reports. Thus, previously unresolvable wavelength changes of the plasmon sensor induced by minor local environmental alteration can be monitored with extremely high temporal resolution.rnrnUsing the 'Plasmon Fluctuation Setup', I can resolve adsorption events of single unlabeled proteins on an individual nanorod. Additionally, I monitored the dynamic evolution of a single protein binding event on a millisecond time scale. This feasibility is of high interest as the role of certain domains in the protein can be probed by a study of modified analytes without the need for labels possibly introducing conformational or characteristic changes to the target. The technique also resolves equilibrium fluctuations in the coverage, opening a window into observing Brownian dynamics of unlabeled macromolecules. rnrnA further topic addressed in this thesis is the usability of the nanoruler, two nanospheres connected with a spacer molecule, as a stiffness sensor for the interparticle linker under strong illumination. Here, I discover a light induced collapse of the nanoruler. Furthermore, I exploit the sensing volume of a fixed nanorod to study unlabeled analytes diffusing around the nanorod at concentrations that are too high for fluorescence correlation spectroscopy but realistic for biological systems. Additionally, local pH sensing with nanoparticles is achieved.

Caratterizzazione dei sintomi neurovegetativi e neuropsicologici nella malattia di Parkinson associata a mutazioni del gene glucocerebrosidasi

Pochi studi hanno indagato il profilo dei sintomi non-motori nella malattia di Parkinson associata al gene glucocerebrosidasi (GBA). Questo studio è mirato alla caratterizzazione dei sintomi non-motori, con particolare attenzione alla valutazione delle funzioni neurovegetativa, cognitiva e comportamentale, nel parkinsonismo associato a mutazione del gene GBA con la finalità di verificare se tali sintomi non-motori siano parte dello spettro clinico di questi pazienti. E’ stato condotto su una coorte di pazienti affetti da malattia di Parkinson che erano stati tutti sottoposti ad una analisi genetica per la ricerca di mutazioni in uno dei geni finora associati alla malattia di Parkinson. All’interno di questa coorte omogenea sono stati identificati due gruppi diversi in relazione al genotipo (pazienti portatori della mutazione GBA e pazienti non portatori di nessuna mutazione) e le caratteristiche non-motorie sono state confrontate nei due gruppi. Sono state pertanto indagati il sistema nervoso autonomo, mediante studio dei riflessi cardiovascolari e analisi dei sintomi disautonomici, e le funzioni cognitivo-comportamentali in pazienti affetti da malattia di Parkinson associata a mutazione del gene GBA. I risultati sono stati messi a confronto con il gruppo di controllo. Lo studio ha mostrato che i pazienti affetti da malattia di Parkinson associata a mutazione del gene GBA presentavano maggiore frequenza di disfunzioni ortosimpatiche, depressione, ansia, apatia, impulsività, oltre che di disturbi del controllo degli impulsi rispetto ai pazienti non portatori. In conclusione, i pazienti GBA positivi possono esprimere una sintomatologia non-motoria multidominio con sintomi autonomici, cognitivi e comportamentali in primo piano. Pertanto l’impostazione terapeutica in questi pazienti dovrebbe includere una accurata valutazione dei sintomi non-motori e un loro monitoraggio nel follow up clinico, allo scopo di ottimizzare i risultati e ridurre i rischi di complicazioni.

Masonry columns confined by composite materials: Experimental investigation

This study wants to analyze the effectiveness of different reinforcement typologies for masonry columns, in particular Fiber-Reinforced Polymer (FRP) and FRCM. The behavior of 10 solid – brick columns that are externally wrapped by FRP sheets and 2 unreinforced columns are presented in this study. The specimens are subjected to axial load until failure occurs. Three different confinement schemes were experimentally analyzed in order to evaluate and compare the effectiveness of the proposed strengthening techniques: 1) Grid carbon FRP (CFRP_G); 2) Grid glass FRP (GFRP_G); 3) Uniaxial carbon FRP (CFRP_U). Two different configurations of the reinforcing system were investigated: FRP sheets are applied as external reinforcement along the perimeter of the masonry columns in the form of continuous and discontinuous wrap, respectively. The results, compared with those for un-reinforced columns, indicate an increases in ultimate load, stiffness and ductility.

Biological applications of plasmonic metal nanoparticles

Plasmons in metal nanoparticles respond to changes in their local environment by a spectral shift in resonance. Here, the potential of plasmonic metal nanoparticles for label-free detection and observation of biological systems is presented. Comparing the material silver and gold concerning plasmonic sensitivity, silver nanoparticles exhibit a higher sensitivity but their chemical instability under light exposure limits general usage. A new approach combining results from optical dark-field microscopy and transmission electron microscopy allows localization and quantification of gold nanoparticles internalized into living cells. Nanorods exposing a negatively charged biocompatible polymer seem to be promising candidates to sense membrane fluctuations of adherent cells. Many small nanoparticles being specific sensing elements can build up a sensor for parallel analyte detection without need of labeling, which is easy to fabricate, re-usable, and has sensitivity down to nanomolar concentrations. Besides analyte detection, binding kinetics of various partner proteins interacting with one protein of interest are accessible in parallel. Gold nanoparticles are able to sense local oscillations in the surface density of proteins on a lipid bilayer, which could not be resolved so far. Studies on the fluorescently labeled system and the unlabeled system identify an influence of the label on the kinetics.