956 resultados para Applied identity-based encryption


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My aim was to produce a dissertation, based on Rayuela, which focuses on Cortázar’s questioning of identity. With this objective in mind, I have studied some of the salient elements in the novel that relate to this topic and the subsequent, interrelated, areas of study that arose in doing so. The cities of Paris and Buenos Aires are placed in contrast within the novel and reflect a dichotomy that reflects Oliveira’s condition as a “foreigner,” (more specifically as a South American in Europe). This duality is further reflected in Cortázar’s use of gender, and the development of the notions of active and passive, and an investigation into the traditional modes of thought, symbols, and stereotypes, and an open-ended questioning of their validity. These topics are framed by a notion of Judeo-Christian History that is in many ways flawed and, as such, contrasts with a more intuitive (or “oriental”) perception of reality, which is centred in figures such as la Maga. I found many explicit references to Zen philosophy, and related oriental references, that led me to believe that this area was worthy of further investigation. Rayuela is considered a classic novel within the canon of Spanish language literature. It’s famous “tabla,” like the rules for a game between the writer and the receptor that produce alternative readings, has led to many discussions regarding the novel’s structure and form, and also created a certain amount of polemic with the use of concepts such as the “lector hembra.” Many consider Cortázar a greater short story writer than a novelist, but nevertheless this novel had a profound effect on young readers upon its publication, much to Cortázar’s surprise, and continues to attract readers, dealing as it does with issues that continue to be relevant to many people.

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The future of health care delivery is becoming more citizen-centred, as today’s user is more active, better informed and more demanding. The European Commission is promoting online health services and, therefore, member states will need to boost deployment and use of online services. This makes e-health adoption an important field to be studied and understood. This study applied the extended unified theory of acceptance and usage technology (UTAUT2) to explain patients’ individual adoption of e-health. An online questionnaire was administrated Portugal using mostly the same instrument used in UTAUT2 adapted to e-health context. We collected 386 valid answers. Performance expectancy, effort expectancy, social influence, and habit had the most significant explanatory power over behavioural intention and habit and behavioural intention over technology use. The model explained 52% of the variance in behavioural intention and 32% of the variance in technology use. Our research helps to understand the desired technology characteristics of ehealth. By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt e-health systems or not.

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Historical renders are exposed to several degradation processes that can lead to a wide range of anomalies,such as scaling, detachments, and pulverization. Among the common anomalies, the loss of cohesion and of adhesion are usually identified as the most difficult to repair; these anomalies still need to be deeply studied to design compatible, durable, and sustainable conservation treatments. The restitution of render cohesion can be achieved using consolidating products. Nevertheless, repair treatments could induce aesthetic alterations, and, therefore, are usually followed by chromatic reintegration. This work aims to study the effectiveness of mineral products as consolidants for lime-based mortars and simultaneously as chromatic treatments for pigmented renders. The studied consolidating products are prepared by mixing air lime,metakaolin, water, and mineral pigments. The idea of these consolidating and coloring products rises from a traditional lime-based technique, the limewash, widely diffused in southern Europe and in the Mediterranean area. Consolidating products were applied and tested on lime-based mortar specimens with a low binder–aggregate ratio and therefore with reduced cohesion. A physico-mechanical, microstructural, and mineralogical characterization was performed on untreated and treated specimens, in order to evaluate the efficacy and durability of the treatments. Accelerated aging tests were also performed to assess consolidant durability, when subjected to aggressive conditions. Results showed that the consolidants tested are compatible, effective, and possess good durability.

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Ionic Liquids (ILs) belong to a class of compounds with unusual properties: very low vapour pressure; high chemical and thermal stability and the ability to dissolve a wide range of substances. A new field in research is evaluating the possibility to use natural chiral biomolecules for the preparation of chiral ionic liquids (CILs). This important challenge in synthetic chemistry can open new avenues of research in order to avoid some problems related with the intrinsic biodegradability and toxicity associated to conventional ILs. The research work developed aimed for the synthesis of CILs, their characterization and possible applications, based on biological moieties used either as chiral cations or anions, depending on the synthetic manipulation of the derivatives. Overall, a total of 28 organic salts, including CILs were synthesized: 9 based on L-cysteine derivatives, 12 based on L-proline, 3 based on nucleosides and 4 based on nucleotides. All these new CILs were completely characterized and their chemical and physical properties were evaluated. Some CILs based on L-cysteine have been applied for discrimination processes, including resolution of racemates and as a chiral catalyst for asymmetric Aldol condensation. L-proline derived CILs were also studied as chiral catalysts for Michael reaction. In parallel, the interactions of macrocyclic oligosugars called cyclodextrins (CDs) with several ILs were studied. It was possible to improve the solubility of CDs in water and serum. Additionally, fatty acids and steroids showed an increase in water solubility when ILs-CDs systems were used. The development of efficient and selective ILs-CDs systems is indispensable to expand the range of their applications in host-guest interactions, drug delivery systems or catalytic reactions. Novel salts derived from nucleobases were used in order to enhance the fluorescence in aqueous solution. Additionally, preliminary studies regarding ethyl lactate as an alternative solvent for asymmetric organocatalysis were performed.

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Nowadays, reducing energy consumption is one of the highest priorities and biggest challenges faced worldwide and in particular in the industrial sector. Given the increasing trend of consumption and the current economical crisis, identifying cost reductions on the most energy-intensive sectors has become one of the main concerns among companies and researchers. Particularly in industrial environments, energy consumption is affected by several factors, namely production factors(e.g. equipments), human (e.g. operators experience), environmental (e.g. temperature), among others, which influence the way of how energy is used across the plant. Therefore, several approaches for identifying consumption causes have been suggested and discussed. However, the existing methods only provide guidelines for energy consumption and have shown difficulties in explaining certain energy consumption patterns due to the lack of structure to incorporate context influence, hence are not able to track down the causes of consumption to a process level, where optimization measures can actually take place. This dissertation proposes a new approach to tackle this issue, by on-line estimation of context-based energy consumption models, which are able to map operating context to consumption patterns. Context identification is performed by regression tree algorithms. Energy consumption estimation is achieved by means of a multi-model architecture using multiple RLS algorithms, locally estimated for each operating context. Lastly, the proposed approach is applied to a real cement plant grinding circuit. Experimental results prove the viability of the overall system, regarding both automatic context identification and energy consumption estimation.

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Cloud computing has been one of the most important topics in Information Technology which aims to assure scalable and reliable on-demand services over the Internet. The expansion of the application scope of cloud services would require cooperation between clouds from different providers that have heterogeneous functionalities. This collaboration between different cloud vendors can provide better Quality of Services (QoS) at the lower price. However, current cloud systems have been developed without concerns of seamless cloud interconnection, and actually they do not support intercloud interoperability to enable collaboration between cloud service providers. Hence, the PhD work is motivated to address interoperability issue between cloud providers as a challenging research objective. This thesis proposes a new framework which supports inter-cloud interoperability in a heterogeneous computing resource cloud environment with the goal of dispatching the workload to the most effective clouds available at runtime. Analysing different methodologies that have been applied to resolve various problem scenarios related to interoperability lead us to exploit Model Driven Architecture (MDA) and Service Oriented Architecture (SOA) methods as appropriate approaches for our inter-cloud framework. Moreover, since distributing the operations in a cloud-based environment is a nondeterministic polynomial time (NP-complete) problem, a Genetic Algorithm (GA) based job scheduler proposed as a part of interoperability framework, offering workload migration with the best performance at the least cost. A new Agent Based Simulation (ABS) approach is proposed to model the inter-cloud environment with three types of agents: Cloud Subscriber agent, Cloud Provider agent, and Job agent. The ABS model is proposed to evaluate the proposed framework.

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RESUMO: A reprogramação celular permite que uma célula somática seja reprogramada para outra célula diferente através da expressão forçada de factores de transcrição (FTs) específicos de determinada linhagem celular, e constitui uma área de investigação emergente nos últimos anos. As células somáticas podem ser experimentalmente manipuladas de modo a obter células estaminais pluripotentes induzidas (CEPi), ou convertidas directamente noutro tipo de célula somática. Estas descobertas inovadoras oferecem oportunidades promissoras para o desenvolvimento de novas terapias de substituição celular e modelos de doença, funcionando também como ferramentas valiosas para o estudo dos mecanismos moleculares que estabelecem a identidade celular e regulam os processos de desenvolvimento. Existem várias doenças degenerativas hereditárias e adquiridas da retina que causam deficiência visual devido a uma disfunção no tecido de suporte da retina, o epitélio pigmentar da retina (EPR). Uma destas doenças é a Coroideremia (CHM), uma doença hereditária monogénica ligada ao cromossoma X causada por mutações que implicam a perda de função duma proteína com funções importantes na regulação do tráfico intracelular. A CHM é caracterizada pela degenerescência progressiva do EPR, assim como dos foto-receptores e da coróide. Resultados experimentais sugerem que o EPR desempenha um papel importante na patogénese da CHM, o que parece indicar uma possível vantagem terapêutica na substituição do EPR nos doentes com CHM. Por outro lado, existe uma lacuna em termos de modelos in vitro de EPR para estudar a CHM, o que pode explicar o ainda desconhecimento dos mecanismos moleculares que explicam a patogénese desta doença. Assim, este trabalho focou-se principalmente na exploração das potencialidades das técnicas de reprogramação celular no contexto das doenças de degenerescência da retina, em particular no caso da CHM. Células de murganho de estirpe selvagem, bem como células derivadas de um ratinho modelo de knockout condicional de Chm, foram convertidos com sucesso em CEPi recorrendo a um sistema lentiviral induzido que permite a expressão forçada dos 4 factores clássicos de reprogramação, a saber Oct4, Sox2, Klf4 e c-Myc. Estas células mostraram ter equivalência morfológica, molecular e funcional a células estaminais embrionárias (CES). As CEPi obtidas foram seguidamente submetidas a protocolos de diferenciação com o objectivo final de obter células do EPR. Os resultados promissores obtidos revelam a possibilidade de gerar um valioso modelo de EPR-CHM para estudos in vitro. Em alternativa, a conversão directa de linhagens partindo de fibroblastos para obter células do EPR foi também abordada. Uma vasta gama de ferramentas moleculares foi gerada de modo a implementar uma estratégia mediada por FTs-chave, seleccionados devido ao seu papel fundamental no desenvolvimento embrionário e especificação do EPR. Conjuntos de 10 ou menos FTs foram usados para transduzir fibroblastos, que adquiriram morfologia pigmentada e expressão de alguns marcadores específicos do EPR. Adicionalmente, observou-se a activação de regiões promotoras de genes específicos de EPR, indicando que a identidade transcricional das células foi alterada no sentido pretendido. Em conclusão, avanços significativos foram atingidos no sentido da implementação de tecnologias de reprogramação celular já estabelecidas, bem como na concepção de novas estratégias inovadoras. Metodologias de reprogramação, quer para pluripotência, quer via conversão directa, foram aplicadas com o objectivo final de gerar células do EPR. O trabalho aqui descrito abre novos caminhos para o estabelecimento de terapias de substituição celular e, de uma maneira mais directa, levanta a possibilidade de modelar doenças degenerativas da retina com disfunção do EPR numa placa de petri, em particular no caso da CHM.---------------ABSTRACT: Cellular reprogramming is an emerging research field in which a somatic cell is reprogrammed into a different cell type by forcing the expression of lineage-specific transcription factors (TFs). Cellular identities can be manipulated using experimental techniques with the attainment of pluripotency properties and the generation of induced Pluripotent Stem (iPS) cells, or the direct conversion of one somatic cell into another somatic cell type. These pioneering discoveries offer new unprecedented opportunities for the establishment of novel cell-based therapies and disease models, as well as serving as valuable tools for the study of molecular mechanisms governing cell fate establishment and developmental processes. Several retinal degenerative disorders, inherited and acquired, lead to visual impairment due to an underlying dysfunction of the support cells of the retina, the retinal pigment epithelium (RPE). Choroideremia (CHM), an X-linked monogenic disease caused by a loss of function mutation in a key regulator of intracellular trafficking, is characterized by a progressive degeneration of the RPE and other components of the retina, such as the photoreceptors and the choroid. Evidence suggest that RPE plays an important role in CHM pathogenesis, thus implying that regenerative approaches aiming at rescuing RPE function may be of great benefit for CHM patients. Additionally, lack of appropriate in vitro models has contributed to the still poorly-characterized molecular events in the base of CHM degenerative process. Therefore, the main focus of this work was to explore the potential applications of cellular reprogramming technology in the context of RPE-related retinal degenerations. The generation of mouse iPS cells was established and optimized using an inducible lentiviral system to force the expression of the classic set of TFs, namely Oct4, Sox2, Klf4 and c-Myc. Wild-type cells, as well as cells derived from a conditional knockout (KO) mouse model of Chm, were successfully converted into a pluripotent state, that displayed morphology, molecular and functional equivalence to Embryonic Stem (ES) cells. Generated iPS cells were then subjected to differentiation protocols towards the attainment of a RPE cell fate, with promising results highlighting the possibility of generating a valuable Chm-RPE in vitro model. In alternative, direct lineage conversion of fibroblasts into RPE-like cells was also tackled. A TF-mediated approach was implemented after the generation of a panoply of molecular tools needed for such studies. After transduction with pools of 10 or less TFs, selected for their key role on RPE developmental process and specification, fibroblasts acquired a pigmented morphology and expression of some RPE-specific markers. Additionally, promoter regions of RPE-specific genes were activated indicating that the transcriptional identity of the cells was being altered into the pursued cell fate. In conclusion, highly significant progress was made towards the implementation of already established cellular reprogramming technologies, as well as the designing of new innovative ones. Reprogramming into pluripotency and lineage conversion methodologies were applied to ultimately generate RPE cells. These studies open new avenues for the establishment of cell replacement therapies and, more straightforwardly,raise the possibility of modelling retinal degenerations with underlying RPE defects in apetri dish, particularly CHM.

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This paper studies the drivers of heuristic application in different decision types. The study compares differences in frequencies of heuristic classes' such as recognition, one-reason choice and trade-off applied in, respectively, memory-based and stimulus-based choices as well as in high and low involvement decisions. The study has been conducted online among 205 participants from 28 countries.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics and Maastricht University School of Business and Economics

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The life of humans and most living beings depend on sensation and perception for the best assessment of the surrounding world. Sensorial organs acquire a variety of stimuli that are interpreted and integrated in our brain for immediate use or stored in memory for later recall. Among the reasoning aspects, a person has to decide what to do with available information. Emotions are classifiers of collected information, assigning a personal meaning to objects, events and individuals, making part of our own identity. Emotions play a decisive role in cognitive processes as reasoning, decision and memory by assigning relevance to collected information. The access to pervasive computing devices, empowered by the ability to sense and perceive the world, provides new forms of acquiring and integrating information. But prior to data assessment on its usefulness, systems must capture and ensure that data is properly managed for diverse possible goals. Portable and wearable devices are now able to gather and store information, from the environment and from our body, using cloud based services and Internet connections. Systems limitations in handling sensorial data, compared with our sensorial capabilities constitute an identified problem. Another problem is the lack of interoperability between humans and devices, as they do not properly understand human’s emotional states and human needs. Addressing those problems is a motivation for the present research work. The mission hereby assumed is to include sensorial and physiological data into a Framework that will be able to manage collected data towards human cognitive functions, supported by a new data model. By learning from selected human functional and behavioural models and reasoning over collected data, the Framework aims at providing evaluation on a person’s emotional state, for empowering human centric applications, along with the capability of storing episodic information on a person’s life with physiologic indicators on emotional states to be used by new generation applications.

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INTRODUCTION: The aim of this study was to identify a rapid and simple phenotypic method for extended-spectrum β-lactamase (ESBL) detection in Enterobacter cloacae. METHODS: A total of 79 consecutive, non-repeated samples of E. cloacae were evaluated. Four phenotypic methods were applied for ESBL detection, results were compared to multiplex polymerase chain reaction (PCR) as the gold standard reference method: 1) ceftazidime and cefotaxime disks with and without clavulanate, both with boronic acid added; 2) disk approximation using cefepime and amoxicillin/clavulanate; 3) ESBL screening by minimum inhibitory concentration (MIC) ≥ 16µg/mL and 4) by MIC ≥ 2µg/mL for cefepime. RESULTS: Method 4 showed the best combination of sensitivity (100%) and specificity (94%). CONCLUSIONS: MIC ≥ 2µg/mL for cefepime would be very useful for the phenotypic detection of ESBL in samples of E. cloacae.

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Leishmaniasis is one of the six major tropical diseases targeted by the World Health Organization. It is a life-threatening disease of medical, social and economic importance in endemic areas. No vaccine is yet available for human use, and chemotherapy presents several problems. Pentavalent antimonials have been the drugs of choice to treat the disease for more than six decades; however, they exhibit high toxicity and are not indicated for children, for pregnant or breastfeeding women or for chronically ill patients. Amphotericin B (AmpB) is a second-line drug, and although it has been increasingly used to treat visceral leishmaniasis (VL), its clinical use has been hampered due to its high toxicity. This review focuses on the development and in vivo usage of new delivery systems for AmpB that aim to decrease its toxicity without altering its therapeutic efficacy. These new formulations, when adjusted with regard to their production costs, may be considered new drug delivery systems that promise to improve the treatment of leishmaniasis, by reducing the side effects and the number of doses while permitting a satisfactory cost-benefit ratio.

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An ion emitter consisting of a sharp silver tip covered in RbAg4I5 solid electrolyte film has been developed and studied. An accelerating potential is applied and Ag+ ions are emitted from the tip’s apex by field evaporation. The emitted ions are collected by a Faraday cup, producing a current on the pico/nanoampere level which is read by an electrometer. The tips were produced mechanically by sandpaper polishing. The sharpest tip produced had a 2:4 m apex radius. Two deposition methods were studied: thermal vacuum and pulsed laser deposition. The best tip produced a peak current value of 96nA at 180oC, and a quasi-stable 4nA emission current at 160oC, both using an extraction potential of 10kV . The emission dependence on time, temperature and accelerating potential has been studied. Deposited films were characterized by X-ray diffraction (XRD), profilometry, optical and Scanning Electron Microscope (SEM) and Secondary Ion Mass Spectroscopy (SIMS) measurements. Several ion emitters were developed, the latter ones were all able to maintain stable high ion emissions for long periods of time. This investigation was a continuation of an ongoing project backed by the European Space Agency, with the objective of making a proof of concept of this kind of ion emitter with potential application on ion thrusters for orbiting satellites. Going forward, it would be interesting to make a finer analysis of the electrolyte’s conductivity at high temperatures, explore Wien Effect-based emission and to further develop a multi-tip ion emitter prototype.

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Transparent conducting oxides (TCOs) have been largely used in the optoelectronic industry due to their singular combination of low electrical resistivity and high optical transmittance. They are usually deposited by magnetron sputtering systems being applied in several devices, specifically thin film solar cells (TFSCs). Sputtering targets are crucial components of the sputtering process, with many of the sputtered films properties dependent on the targets characteristics. The present thesis focuses on the development of high quality conductive Al-doped ZnO (AZO) ceramic sputtering targets based on nanostructured powders produced by emulsion detonation synthesis method (EDSM), and their application as a TCO. In this sense, the influence of several processing parameters was investigated from the targets raw-materials synthesis to the application of sputtered films in optoelectronic devices. The optimized manufactured AZO targets present a final density above 99 % with controlled grain size, an homogeneous microstructure with a well dispersed ZnAl2O4 spinel phase, and electrical resistivities of ~4 × 10-4 Ωcm independently on the Al-doping level among 0.5 and 2.0 wt. % Al2O3. Sintering conditions proved to have a great influence on the properties of the targets and their performance as a sputtering target. It was demonstrated that both deposition process and final properties of the films are related with the targets characteristics, which in turn depends on the initial powder properties. In parallel, the influence of several deposition parameters in the film´s properties sputtered from these targets was investigated. The sputtered AZO TCOs showed electrical properties at room temperature that are superior to simple oxides and comparable to a reference TCO – indium tin oxide (ITO), namely low electrical resistivity of 5.45 × 10-4 Ωcm, high carrier mobility (29.4 cm2V-1s-1), and high charge carrier concentration (3.97 × 1020 cm-3), and also average transmittance in the visible region > 80 %. These superior properties allowed their successful application in different optoelectronic devices.

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Nowadays, many of the manufactory and industrial system has a diagnosis system on top of it, responsible for ensuring the lifetime of the system itself. It achieves this by performing both diagnosis and error recovery procedures in real production time, on each of the individual parts of the system. There are many paradigms currently being used for diagnosis. However, they still fail to answer all the requirements imposed by the enterprises making it necessary for a different approach to take place. This happens mostly on the error recovery paradigms since the great diversity that is nowadays present in the industrial environment makes it highly unlikely for every single error to be fixed under a real time, no production stop, perspective. This work proposes a still relatively unknown paradigm to manufactory. The Artificial Immune Systems (AIS), which relies on bio-inspired algorithms, comes as a valid alternative to the ones currently being used. The proposed work is a multi-agent architecture that establishes the Artificial Immune Systems, based on bio-inspired algorithms. The main goal of this architecture is to solve for a resolution to the error currently detected by the system. The proposed architecture was tested using two different simulation environment, each meant to prove different points of views, using different tests. These tests will determine if, as the research suggests, this paradigm is a promising alternative for the industrial environment. It will also define what should be done to improve the current architecture and if it should be applied in a decentralised system.