967 resultados para 2015 election process


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A procedure for measuring the overheating temperature (ΔT ) of a p-n junction area in the structure of photovoltaic (PV) cells converting laser or solar radiations relative to the ambient temperature has been proposed for the conditions of connecting to an electric load. The basis of the procedure is the measurement of the open-circuit voltage (VO C ) during the initial time period after the fast disconnection of the external resistive load. The simultaneous temperature control on an external heated part of a PV module gives the means for determining the value of VO C at ambient temperature. Comparing it with that measured after switching OFF the load makes the calculation of ΔT possible. Calibration data on the VO C = f(T ) dependences for single-junction AlGaAs/GaAs and triple-junction InGaP/GaAs/Ge PV cells are presented. The temperature dynamics in the PV cells has been determined under flash illumination and during fast commutation of the load. Temperature measurements were taken in two cases: converting continuous laser power by single-junction cells and converting solar power by triple-junction cells operating in the concentrator modules.

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High performance silk fibers were produced directly from the silk glands of silkworms ("Bombyx mori") following an alternative route to natural spinning. This route is based on a traditional procedure that consists of soaking the silk glands in a vinegar solution and stretching them by hand leading to the so called silkworm guts. Here we present, to the authors’ best knowledge, the first comprehensive study on the formation, properties and microstructure of silkworm gut fibers. Comparison of the tensile properties and microstructural organization of the silkworm guts with those of naturally spun fibers allows gain of a deeper insight into the mechanisms that lead to the formation of the fiber, as well as the relationship between the microstructure and properties of these materials. In this regard, it is proved that an acidic environment and subsequent application of tensile stress in the range of 1000 kPa are sufficient conditions for the formation of a silk fiber.

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A presente dissertação analisa como o Partido Social Cristão (PSC), ao longo do tempo, se apropriou da identidade religiosa de seus atores políticos que na sua maioria são membros da Frente Parlamentar Evangélica, os quais defendem no espaço público a “família tradicional”, em detrimento da pluralidade de arranjos familiares na contemporaneidade. Para explicitar o objeto - “família tradicional” e PSC -, foi necessário retroceder no tempo e investigar na historiografia os primórdios da inserção dos evangélicos na política brasileira. Em vista disso, analisamos a participação dos evangélicos nos respectivos períodos do Brasil: Colônia, Império e República. A dificuldade da entrada de evangélicos na política partidária, dentre outros fatores, se deve àinfluência do catolicismo no Estado. Assim sendo, averiguamos em todas as Constituições (1824, 1891, 1934, 1937, 1946, 1967, 1969 e 1988) o que a mesma diz no que tange a proibição e a liberdade religiosa no país. Logo, verificamos entre as Eras Vargas e República Populista, que ocorreu com intensidade a transição do apoliticismo para o politicismo entre os evangélicos brasileiros, porém, eles não recebiam o apoio formal de suas igrejas. Em seguida, a participação dos evangélicos na arena política durante a ditadura militar foi investigada com destaque para o posicionamento de vanguarda da IECLB, através do Manifesto de Curitiba e, também com a presença de parlamentares evangélicos no Congresso Nacional. A politização pentecostal é ressaltada em nosso trabalho, através do pioneirismo de Manoel de Mello e, depois na Redemocratização quando as instituições evangélicas se organizaram para eleger seus candidatos à Assembleia Nacional Constituinte. E, com o fim do regime militar, o PSC surge como partido “nanico”, contudo, deixa o anonimato e ganha visibilidade midiática quando o pastor e deputado, Marco Feliciano, assume a presidência da Comissão de Direitos Humanos e Minorias, em 2013. Esse é o pano de fundo histórico que projetou o PSC e seus atores no pleito de 2014 com o mote “família tradicional”.

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La dopamina es uno de los principales neurotransmisores del sistema nervioso central y desempeña un papel esencial en diferentes funciones: neuroendocrinas, motivacionales/emocionales y, especialmente, motoras y cognitivas. Las funciones de la dopamina están media-das en gran medida por la estimulación de sus principales receptores D1 (D1R) y D2 (D2R). En esta tesis hemos estudiado el papel que ambos receptores desempeñan en los procesos de apren-dizaje y memoria, así como la regulación que ejercen sobre las neuronas estriatales TH-immunoreactivas (TH-ir) y su posible implicación en la respuesta motora. Para abordar este proyecto hemos utilizado ratones knock-out para el receptor D1 (Drd1a-/-) y D2 (Drd2-/-) ya que no existen compuestos farmacológicos capaces de diferenciar eficazmente entre receptores dopaminérgicos de la misma familia. Además, para el estudio de las neuronas TH-ir realizamos lesiones con 6-OHDA a ratones que posteriormente recibieron un tratamiento crónico con L-DOPA, siendo este el mecanismo más eficaz para inducir la expresión de las neuronas TH-ir objeto de nuestro estudio. Para completar todo ello realizamos test conductuales que evalúan respuesta motora, como el test del cilindro, y diferentes tipos de aprendizaje y me-moria para los cuales utilizamos test específicos. Entre estos test se encuentran: los laberintos de Barnes y Morris para memoria espacial, evitación activa/pasiva y condicionamiento del mie-do para el aprendizaje asociativo, y el reconocimiento de objetos para la memoria de reconoci-miento...

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The increasing economic competition drives the industry to implement tools that improve their processes efficiencies. The process automation is one of these tools, and the Real Time Optimization (RTO) is an automation methodology that considers economic aspects to update the process control in accordance with market prices and disturbances. Basically, RTO uses a steady-state phenomenological model to predict the process behavior, and then, optimizes an economic objective function subject to this model. Although largely implemented in industry, there is not a general agreement about the benefits of implementing RTO due to some limitations discussed in the present work: structural plant/model mismatch, identifiability issues and low frequency of set points update. Some alternative RTO approaches have been proposed in literature to handle the problem of structural plant/model mismatch. However, there is not a sensible comparison evaluating the scope and limitations of these RTO approaches under different aspects. For this reason, the classical two-step method is compared to more recently derivative-based methods (Modifier Adaptation, Integrated System Optimization and Parameter estimation, and Sufficient Conditions of Feasibility and Optimality) using a Monte Carlo methodology. The results of this comparison show that the classical RTO method is consistent, providing a model flexible enough to represent the process topology, a parameter estimation method appropriate to handle measurement noise characteristics and a method to improve the sample information quality. At each iteration, the RTO methodology updates some key parameter of the model, where it is possible to observe identifiability issues caused by lack of measurements and measurement noise, resulting in bad prediction ability. Therefore, four different parameter estimation approaches (Rotational Discrimination, Automatic Selection and Parameter estimation, Reparametrization via Differential Geometry and classical nonlinear Least Square) are evaluated with respect to their prediction accuracy, robustness and speed. The results show that the Rotational Discrimination method is the most suitable to be implemented in a RTO framework, since it requires less a priori information, it is simple to be implemented and avoid the overfitting caused by the Least Square method. The third RTO drawback discussed in the present thesis is the low frequency of set points update, this problem increases the period in which the process operates at suboptimum conditions. An alternative to handle this problem is proposed in this thesis, by integrating the classic RTO and Self-Optimizing control (SOC) using a new Model Predictive Control strategy. The new approach demonstrates that it is possible to reduce the problem of low frequency of set points updates, improving the economic performance. Finally, the practical aspects of the RTO implementation are carried out in an industrial case study, a Vapor Recompression Distillation (VRD) process located in Paulínea refinery from Petrobras. The conclusions of this study suggest that the model parameters are successfully estimated by the Rotational Discrimination method; the RTO is able to improve the process profit in about 3%, equivalent to 2 million dollars per year; and the integration of SOC and RTO may be an interesting control alternative for the VRD process.

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The Securities and Exchange Commission has been analyzing its interpretation under Subsection (i)(9) of Rule 14a-8. This provision allows for the exclusion of shareholder proposals that conflict with those submitted by management. The staff has been examining its interpretation since instructed to do so by the chair of the SEC following a no action appeal in a case involving Whole Foods. A number of letters and memos submitted in connection with the review have analyzed the issue. At least one asserted that any change in interpretation required the Commission to go through the process of notice and comment. This letter asserts that notice and comment is not required, relying extensively on Perez v. Mortgage Bankers Association.

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This paper introduces a new mathematical model for the simultaneous synthesis of heat exchanger networks (HENs), wherein the handling pressure of process streams is used to enhance the heat integration. The proposed approach combines generalized disjunctive programming (GDP) and mixed-integer nonlinear programming (MINLP) formulation, in order to minimize the total annualized cost composed by operational and capital expenses. A multi-stage superstructure is developed for the HEN synthesis, assuming constant heat capacity flow rates and isothermal mixing, and allowing for streams splits. In this model, the pressure and temperature of streams must be treated as optimization variables, increasing further the complexity and difficulty to solve the problem. In addition, the model allows for coupling of compressors and turbines to save energy. A case study is performed to verify the accuracy of the proposed model. In this example, the optimal integration between the heat and work decreases the need for thermal utilities in the HEN design. As a result, the total annualized cost is also reduced due to the decrease in the operational expenses related to the heating and cooling of the streams.

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Multiobjective Generalized Disjunctive Programming (MO-GDP) optimization has been used for the synthesis of an important industrial process, isobutane alkylation. The two objective functions to be simultaneously optimized are the environmental impact, determined by means of LCA (Life Cycle Assessment), and the economic potential of the process. The main reason for including the minimization of the environmental impact in the optimization process is the widespread environmental concern by the general public. For the resolution of the problem we employed a hybrid simulation- optimization methodology, i.e., the superstructure of the process was developed directly in a chemical process simulator connected to a state of the art optimizer. The model was formulated as a GDP and solved using a logic algorithm that avoids the reformulation as MINLP -Mixed Integer Non Linear Programming-. Our research gave us Pareto curves compounded by three different configurations where the LCA has been assessed by two different parameters: global warming potential and ecoindicator-99.

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The reaction of various 1-pivaloyl-1H-tetrazoles with excess lithium and a catalytic amount of naphthalene (20 mol%) led, after treatment with methanol, to the corresponding free tetrazoles through reductive C–N bond cleavage. This methodology represents a reasonable alternative to other nonreductive protocols.

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This paper presents a new mathematical programming model for the retrofit of heat exchanger networks (HENs), wherein the pressure recovery of process streams is conducted to enhance heat integration. Particularly applied to cryogenic processes, HENs retrofit with combined heat and work integration is mainly aimed at reducing the use of expensive cold services. The proposed multi-stage superstructure allows the increment of the existing heat transfer area, as well as the use of new equipment for both heat exchange and pressure manipulation. The pressure recovery of streams is carried out simultaneously with the HEN design, such that the process conditions (streams pressure and temperature) are variables of optimization. The mathematical model is formulated using generalized disjunctive programming (GDP) and is optimized via mixed-integer nonlinear programming (MINLP), through the minimization of the retrofit total annualized cost, considering the turbine and compressor coupling with a helper motor. Three case studies are performed to assess the accuracy of the developed approach, including a real industrial example related to liquefied natural gas (LNG) production. The results show that the pressure recovery of streams is efficient for energy savings and, consequently, for decreasing the HEN retrofit total cost especially in sub-ambient processes.

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The research developed in this work consists in proposing a set of techniques for management of social networks and their integration into the educational process. The proposals made are based on assumptions that have been proven with simple examples in a real scenario of university teaching. The results show that social networks have more capacity to spread information than educational web platforms. Moreover, educational social networks are developed in a context of freedom of expression intrinsically linked to Internet freedom. In that context, users can write opinions or comments which are not liked by the staff of schools. However, this feature can be exploited to enrich the educational process and improve the quality of their achievement. The network has covered needs and created new ones. So, the figure of the Community Manager is proposed as agent in educational context for monitoring network and aims to channel the opinions and to provide a rapid response to an academic problem.

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This paper is part of the research project HAR2012–34035 (Lectura arqueológica del uso social del espacio. Espacios domésticos y vida social entre la Antigüedad y el Medievo, funded by the Ministry of Economy and Competitiveness).

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Tese de doutoramento, Psicologia (Psicologia Clínica), Universidade de Lisboa, Faculdade de Psicologia, 2016

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At an election rally on 20 March 2014, Turkish Prime Minister, Recep Tayyip Erdoğan, declared he wanted to “root out Twitter, no matter what the international community thought”. A few hours later Twitter was shut down. The decision backfired. Turkey’s some 12 million Twitter users immediately found ways to circumnavigate the ban; it highlighted the increasingly authoritarian trend of Erdoğan; and it brought immediate condemnation from numerous foreign leaders. The move has been viewed by many Turks as part of an operation to cover up a corruption probe that has consumed Turkey since 17 December, before key local elections on 30 March. The elections, which will be followed by Presidential election in August and political ones expected in 2015, have become a referendum on Erdoğan’s popularity, and are set to shape Turkey’s political landscape. A lot is at stake as a big win for the ruling Justice and Development Party (AKP) may not only be used by Erdoğan to justify his response to the corruption scandal but also risks consolidating his increasingly authoritarian style of governance.

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The EU was taken by surprise when the President of Armenia, Serzh Sargsyan, stood by his Russian counterpart and announced Armenia’s plans to join the Russian-led Customs Union in September 2013. After all, before this announcement Armenia and the EU had successfully concluded negotiations on their Association Agreement. Armenia is still suffering the consequences of the Kremlin’s coercion to reject this Association Agreement. Indeed, as Armenians around the world commemorate the centenary of the Armenian Genocide by Ottoman Turkey, the Republic of Armenia is facing mounting challenges. The country remains subject to an economic blockade by Turkey and is in conflict with Azerbaijan. Ever since President’s Sargsyan’s astonishing volte-face, the EU and Armenia are still in the process of trying to rework the failed agreement. The author of this commentary argues that because the future of any new agreement is uncertain, negotiations should be accompanied by a pragmatic EU-Armenia roadmap. This roadmap, alongside the start of the visa liberalisation process and Armenia’s signing up to the European Common Aviation Agreement and Horizon 2020, could become a deliverable at the Riga Summit on 26-27 April 2015.