911 resultados para Production-on-demand


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Chapter 1 studies how consumers’ switching costs affect the pricing and profits of firms competing in two-sided markets such as Apple and Google in the smartphone market. When two-sided markets are dynamic – rather than merely static – I show that switching costs lower the first-period price if network externalities are strong, which is in contrast to what has been found in one-sided markets. By contrast, switching costs soften price competition in the initial period if network externalities are weak and consumers are more patient than the platforms. Moreover, an increase in switching costs on one side decreases the first-period price on the other side. Chapter 2 examines firms’ incentives to invest in local and flexible resources when demand is uncertain and correlated. I find that market power of the monopolist providing flexible resources distorts investment incentives, while competition mitigates them. The extent of improvement depends critically on demand correlation and the cost of capacity: under social optimum and monopoly, if the flexible resource is cheap, the relationship between investment and correlation is positive, and if it is costly, the relationship becomes negative; under duopoly, the relationship is positive. The analysis also sheds light on some policy discussions in markets such as cloud computing. Chapter 3 develops a theory of sequential investments in cybersecurity. The regulator can use safety standards and liability rules to increase security. I show that the joint use of an optimal standard and a full liability rule leads to underinvestment ex ante and overinvestment ex post. Instead, switching to a partial liability rule can correct the inefficiencies. This suggests that to improve security, the regulator should encourage not only firms, but also consumers to invest in security.

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Sulfate aerosol plays an important but uncertain role in cloud formation and radiative forcing of the climate, and is also important for acid deposition and human health. The oxidation of SO2 to sulfate is a key reaction in determining the impact of sulfate in the environment through its effect on aerosol size distribution and composition. This thesis presents a laboratory investigation of sulfur isotope fractionation during SO2 oxidation by the most important gas-phase and heterogeneous pathways occurring in the atmosphere. The fractionation factors are then used to examine the role of sulfate formation in cloud processing of aerosol particles during the HCCT campaign in Thuringia, central Germany. The fractionation factor for the oxidation of SO2 by ·OH radicals was measured by reacting SO2 gas, with a known initial isotopic composition, with ·OH radicals generated from the photolysis of water at -25, 0, 19 and 40°C (Chapter 2). The product sulfate and the residual SO2 were collected as BaSO4 and the sulfur isotopic compositions measured with the Cameca NanoSIMS 50. The measured fractionation factor for 34S/32S during gas phase oxidation is αOH = (1.0089 ± 0.0007) − ((4 ± 5) × 10−5 )T (°C). Fractionation during oxidation by major aqueous pathways was measured by bubbling the SO2 gas through a solution of H2 O2

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Die Dissertationsschrift beschäftigt sich mit der Entwicklung und Anwendung einer alternativen Probenzuführungstechnik für flüssige Proben in der Massenspektrometrie. Obwohl bereits einige Anstrengungen zur Verbesserung unternommen wurden, weisen konventionelle pneumatische Zerstäuber- und Sprühkammersysteme, die in der Elementspurenanalytik mittels induktiv gekoppeltem Plasma (ICP) standardmäßig verwendet werden, eine geringe Gesamteffizienz auf. Pneumatisch erzeugtes Aerosol ist durch eine breite Tropfengrößenverteilung gekennzeichnet, was den Einsatz einer Sprühkammer bedingt, um die Aerosolcharakteristik an die Betriebsbedingungen des ICPs anzupassen.. Die Erzeugung von Tropfen mit einer sehr engen Tropfengrößenverteilung oder sogar monodispersen Tropfen könnte die Effizienz des Probeneintrags verbessern. Ein Ziel dieser Arbeit ist daher, Tropfen, die mittels des thermischen Tintenstrahldruckverfahrens erzeugt werden, zum Probeneintrag in der Elementmassenspektrometrie einzusetzen. Das thermische Tintenstrahldruckverfahren konnte in der analytischen Chemie im Bereich der Oberflächenanalytik mittels TXRF oder Laserablation bisher zur gezielten, reproduzierbaren Deposition von Tropfen auf Oberflächen eingesetzt werden. Um eine kontinuierliche Tropfenerzeugung zu ermöglichen, wurde ein elektronischer Mikrokontroller entwickelt, der eine Dosiereinheit unabhängig von der Hard- und Software des Druckers steuern kann. Dabei sind alle zur Tropfenerzeugung relevanten Parameter (Frequenz, Heizpulsenergie) unabhängig voneinander einstellbar. Die Dosiereinheit, der "drop-on-demand" Aerosolgenerator (DOD), wurde auf eine Aerosoltransportkammer montiert, welche die erzeugten Tropfen in die Ionisationsquelle befördert. Im Bereich der anorganischen Spurenanalytik konnten durch die Kombination des DOD mit einem automatischen Probengeber 53 Elemente untersucht und die erzielbare Empfindlichkeiten sowie exemplarisch für 15 Elemente die Nachweisgrenzen und die Untergrundäquivalentkonzentrationen ermittelt werden. Damit die Vorteile komfortabel genutzt werden können, wurde eine Kopplung des DOD-Systems mit der miniaturisierten Fließinjektionsanalyse (FIA) sowie miniaturisierten Trenntechniken wie der µHPLC entwickelt. Die Fließinjektionsmethode wurde mit einem zertifizierten Referenzmaterial validiert, wobei für Vanadium und Cadmium die zertifizierten Werte gut reproduziert werden konnten. Transiente Signale konnten bei der Kopplung des Dosiersystems in Verbindung mit der ICP-MS an eine µHPLC abgebildet werden. Die Modifikation der Dosiereinheit zum Ankoppeln an einen kontinuierlichen Probenfluss bedarf noch einer weiteren Reduzierung des verbleibenden Totvolumens. Dazu ist die Unabhängigkeit von den bisher verwendeten, kommerziell erhältlichen Druckerpatronen anzustreben, indem die Dosiereinheit selbst gefertigt wird. Die Vielseitigkeit des Dosiersystems wurde mit der Kopplung an eine kürzlich neu entwickelte Atmosphärendruck-Ionisationsmethode, die "flowing atmospheric-pressure afterglow" Desorptions/Ionisations Ionenquelle (FAPA), aufgezeigt. Ein direkter Eintrag von flüssigen Proben in diese Quelle war bislang nicht möglich, es konnte lediglich eine Desorption von eingetrockneten Rückständen oder direkt von der Flüssigkeitsoberfläche erfolgen. Die Präzision der Analyse ist dabei durch die variable Probenposition eingeschränkt. Mit dem Einsatz des DOD-Systems können flüssige Proben nun direkt in die FAPA eingetragen, was ebenfalls das Kalibrieren bei quantitativen Analysen organischer Verbindungen ermöglicht. Neben illegalen Drogen und deren Metaboliten konnten auch frei verkäufliche Medikamente und ein Sprengstoffanalogon in entsprechend präpariertem reinem Lösungsmittel nachgewiesen werden. Ebenso gelang dies in Urinproben, die mit Drogen und Drogenmetaboliten versetzt wurden. Dabei ist hervorzuheben, dass keinerlei Probenvorbereitung notwendig war und zur Ermittlung der NWG der einzelnen Spezies keine interne oder isotopenmarkierte Standards verwendet wurden. Dennoch sind die ermittelten NWG deutlich niedriger, als die mit der bisherigen Prozedur zur Analyse flüssiger Proben erreichbaren. Um im Vergleich zu der bisher verwendeten "pin-to-plate" Geometrie der FAPA die Lösungsmittelverdampfung zu beschleunigen, wurde eine alternative Elektrodenanordnung entwickelt, bei der die Probe länger in Kontakt mit der "afterglow"-Zone steht. Diese Glimmentladungsquelle ist ringförmig und erlaubt einen Probeneintrag mittels eines zentralen Gasflusses. Wegen der ringförmigen Entladung wird der Name "halo-FAPA" (h-FAPA) für diese Entladungsgeometrie verwendet. Eine grundlegende physikalische und spektroskopische Charakterisierung zeigte, dass es sich tatsächlich um eine FAPA Desorptions/Ionisationsquelle handelt.

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The cannabinoid type 1 (CB1) receptor is involved in a plethora of physiological functions and heterogeneously expressed on different neuronal populations. Several conditional loss-of-function studies revealed distinct effects of CB1 receptor signaling on glutamatergic and GABAergic neurons, respectively. To gain a comprehensive picture of CB1 receptor-mediated effects, the present study aimed at developing a gain-of-function approach, which complements conditional loss-of-function studies. Therefore, adeno-associated virus (AAV)-mediated gene delivery and Cre-mediated recombination were combined to recreate an innovative method, which ensures region- and cell type-specific transgene expression in the brain. This method was used to overexpress the CB1 receptor in glutamatergic pyramidal neurons of the mouse hippocampus. Enhanced CB1 receptor activity at glutamatergic terminals caused impairment in hippocampus-dependent memory performance. On the other hand, elevated CB1 receptor levels provoked an increased protection against kainic acid-induced seizures and against excitotoxic neuronal cell death. This finding indicates the protective role of CB1 receptor on hippocampal glutamatergic terminals as a molecular stout guard in controlling excessive neuronal network activity. Hence, CB1 receptor on glutamatergic hippocampal neurons may represent a target for novel agents to restrain excitotoxic events and to treat neurodegenerative diseases. Endocannabinoid synthesizing and degrading enzymes tightly regulate endocannabinoid signaling, and thus, represent a promising therapeutic target. To further elucidate the precise function of the 2-AG degrading enzyme monoacylglycerol lipase (MAGL), MAGL was overexpressed specifically in hippocampal pyramidal neurons. This genetic modification resulted in highly increased MAGL activity accompanied by a 50 % decrease in 2-AG levels without affecting the content of arachidonic acid and anandamide. Elevated MAGL protein levels at glutamatergic terminals eliminated depolarization-induced suppression of excitation (DSE), while depolarization-induced suppression of inhibition (DSI) was unchanged. This result indicates that the on-demand availability of the endocannabinoid 2-AG is crucial for short-term plasticity at glutamatergic synapses in the hippocampus. Mice overexpressing MAGL exhibited elevated corticosterone levels under basal conditions and an increase in anxiety-like behavior, but surprisingly, showed no changes in aversive memory formation and in seizure susceptibility. This finding suggests that 2 AG-mediated hippocampal DSE is essential for adapting to aversive situations, but is not required to form aversive memory and to protect against kainic acid-induced seizures. Thus, specific inhibition of MAGL expressed in hippocampal pyramidal neurons may represent a potential treatment strategy for anxiety and stress disorders. Finally, the method of AAV-mediated cell type-specific transgene expression was advanced to allow drug-inducible and reversible transgene expression. Therefore, elements of the tetracycline-controlled gene expression system were incorporated in our “conditional” AAV vector. This approach showed that transgene expression is switched on after drug application and that background activity in the uninduced state was only detectable in scattered cells of the hippocampus. Thus, this AAV vector will proof useful for future research applications and gene therapy approaches.

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Cloud services are becoming ever more important for everyone's life. Cloud storage? Web mails? Yes, we don't need to be working in big IT companies to be surrounded by cloud services. Another thing that's growing in importance, or at least that should be considered ever more important, is the concept of privacy. The more we rely on services of which we know close to nothing about, the more we should be worried about our privacy. In this work, I will analyze a prototype software based on a peer to peer architecture for the offering of cloud services, to see if it's possible to make it completely anonymous, meaning that not only the users using it will be anonymous, but also the Peers composing it will not know the real identity of each others. To make it possible, I will make use of anonymizing networks like Tor. I will start by studying the state of art of Cloud Computing, by looking at some real example, followed by analyzing the architecture of the prototype, trying to expose the differences between its distributed nature and the somehow centralized solutions offered by the famous vendors. After that, I will get as deep as possible into the working principle of the anonymizing networks, because they are not something that can just be 'applied' mindlessly. Some de-anonymizing techniques are very subtle so things must be studied carefully. I will then implement the required changes, and test the new anonymized prototype to see how its performances differ from those of the standard one. The prototype will be run on many machines, orchestrated by a tester script that will automatically start, stop and do all the required API calls. As to where to find all these machines, I will make use of Amazon EC2 cloud services and their on-demand instances.

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La nostra sfida è stata sviluppare un dispositivo che potesse riunire differenti funzionalità, dalla telepresenza alla visione dei dati on demand, e fosse in grado di portare innovazione nel panorama attuale. Abbiamo quindi deciso di creare un device che potesse svolgere attività d’ispezione e monitoraggio, concentrandoci nel corso dell’implementazione su alcuni possibili campi di utilizzo. Il sistema che abbiamo realizzato è open-source, modulare e dinamico, in grado di rispondere a esigenze diverse e facilmente riadattabile. Il prototipo progettato è in grado di comunicare con uno smartphone, grazie al quale viene guidato dall’utente primario, e di trasmettere in rete i dati rilevati dai diversi sensori integrati. Le informazioni generate sono gestibili attraverso una piattaforma online: il device utilizza il Cloud per storicizzare i dati, rendendoli potenzialmente accessibili a chiunque. Per la configurazione hardware abbiamo usato la kit-board Pi2Go e la piattaforma Raspberry Pi, alle quali abbiamo unito una videocamera e alcuni sensori di prossimità, temperatura e umidità e distanza. È nato così il prototipo InspectorPi, un veicolo telecomandato tramite dispositivo mobile in grado di esplorare ambienti ostili in cui vi sono difficoltà fisiche o ambientali alle quali sovvenire.

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Airway epithelial cells were shown to drive the differentiation of monocytes into dendritic cells (DCs) with a suppressive phenotype. In this study, we investigated the impact of virus-induced inflammatory mediator production on the development of DCs. Monocyte differentiation into functional DCs, as reflected by the expression of CD11c, CD123, BDCA-4, and DC-SIGN and the capacity to activate T cells, was similar for respiratory syncytial virus (RSV)-infected and mock-infected BEAS-2B and A549 cells. RSV-conditioned culture media resulted in a partially mature DC phenotype, but failed to up-regulate CD80, CD83, CD86, and CCR7, and failed to release proinflammatory mediators upon Toll-like receptor (TLR) triggering. Nevertheless, these DCs were able to maintain an antiviral response by the release of Type I IFN. Collectively, these data indicate that the airway epithelium maintains an important suppressive DC phenotype under the inflammatory conditions induced by infection with RSV.

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Data gathering, either for event recognition or for monitoring applications is the primary intention for sensor network deployments. In many cases, data is acquired periodically and autonomously, and simply logged onto secondary storage (e.g. flash memory) either for delayed offline analysis or for on demand burst transfer. Moreover, operational data such as connectivity information, node and network state is typically kept as well. Naturally, measurement and/or connectivity logging comes at a cost. Space for doing so is limited. Finding a good representative model for the data and providing clever coding of information, thus data compression, may be a means to use the available space to its best. In this paper, we explore the design space for data compression for wireless sensor and mesh networks by profiling common, publicly available algorithms. Several goals such as a low overhead in terms of utilized memory and compression time as well as a decent compression ratio have to be well balanced in order to find a simple, yet effective compression scheme.

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Using multicast communication in Wireless Sensor Networks (WSNs) is an efficient way to disseminate the same data (from one sender) to multiple receivers, e.g., transmitting code updates to a group of sensor nodes. Due to the nature of code update traffic a multicast protocol has to support bulky traffic and end-to-end reliability. We are interested in an energy-efficient multicast protocol due to the limited resources of wireless sensor nodes. Current data dissemination schemes do not fulfill the above requirements. In order to close the gap, we designed and implemented the SNOMC (Sensor Node Overlay Multicast) protocol. It is an overlay multicast protocol, which supports reliable, time-efficient, and energy-efficient data dissemination of bulky data from one sender to many receivers. To ensure end-to-end reliability, SNOMC uses a NACK-based reliability mechanism with different caching strategies.

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Paraguay is characterized in part by an economy reliant on a massive soy industry and as facing social and economic challenges resulting from highly inequitable distribution of wealth and land ownership, particularly for smallholder farmers in the rural areas of the country. Yerba mate (Ilex paraguariensis), a native tree of which the leaves are used in tea, has become an increasingly common crop grown among common among smallholder farmers (owners of 10 hectares or less) as a viable alternative to soy production on a small scale. In the rural agricultural community of Libertad del Sur, located in the heart of the severely deforested Bosque Atlántico del Alto-Paraná, a series of development initiatives including tree nurseries and agroforestry projects with yerba mate were implemented with involvement of several governmental and nongovernmental organizations. Research was conducted to identify effectiveness of an agroforestry strategy to promote reforestation activities and sustainable agriculture to achieve economic and subsistence goals of the rural population. Despite a severe drought impacting initial research goals, important lessons are considered regarding promotion of development work within the community as well as community perceptions towards development agencies. Pursuit of compromise between community member and agency goals using sustainable agricultural practices is identified as an effective means to promote mutually beneficial development strategies.