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La thèse analyse la promotion de l'électricité produite à partir de sources renouvelables par la régulation économique. Elle combine la recherche existante en économie, sciences politiques et droit. Les principaux apports scientifiques nouveaux par rapport à la recherche existante sont les suivants : - L'échec des efforts de la Commission européenne d'harmoniser les systèmes de soutien au niveau de l'UE s'explique par une alliance (de prime abord improbable) des OGN "vertes" et des producteurs d'électricité verte, soucieux de protéger le système des prix garantis par l'État, ainsi que des États membres, soucieux du respect du principe de subsidiarité. - Contrairement à l'avis dominant en sciences économique, des prix minima garantis, arrêté au niveau de 'UE, constituent la politique règlementaire la plus efficient. - La première analyse compréhensive de la pratique décisionnelle de la Commission européenne eu matière d'aide d'État et la jurisprudence de la Court depuis 1990 montre que, contrairement à l'avis dominant dans la recherche juridique, les systèmes de soutien de la plupart des États membres constituent des aides d'État, car l'arrêt PreussenElektra a un champ d'application beaucoup plus restreint que généralement admis. - Les règles de l'OMC, du Traité sur la Charte de l'Énergie, du droit des aides d'État et du marché intérieur interagissent d'une manière qui n'a pas encore été pleinement compris par la littérature juridique. - Des parallélismes surprenants au débat juridique en Europe existent dans le débat juridique aux États-Unis. Cependant, il n'ont pas été mis en exergue par les juristes. Ainsi, la "dormant commerce clause" soumet les régimes de soutien au États-Unis à des contraintes similaires que les règles du marché intérieur; et le contrôle fédéral de la régulation des prix sous le Public Utilities Regulatory Policies Act (PURPA) ressemble au contrôle des aides d'État. / The thesis analyses the promotion of electricity from renewable energy sources by regulatory policies, bringing together the existing research in economics, political science and law. The main new findings compared to the existing research are: The failure of the Commission's attempts to harmonize support schemes al the EU level is due to an (at first sight: unlikely) alliance of green NGO and renewable electricity producers, concerned about protecting fixed purchase prices, and Member States, concerned about subsidiarity; Contrary to the dominating view in the economic literature, fixed purchase prices, set at the EU level, are the most efficient regulatory option; The first comprehensive analysis of the Commission's decision practice and the Court's case law on support schemes under EU State aid rules since 1990 shows that, contrary to the dominating view in legal writing, the support schemes of most Member States do constitute State aid, because PreussenElektra has a much narrower scope than generally thought. WTO rules, the Energy Charter Treaty, and EU State aid and internal market rules interact in ways which have thus far not been analyzed in detail in the legal literature. Surprising parallelisms exist in the legal debate in the US and in the EU, which have thus far been widely overlooked by legal scholars: the "dormant commerce clause" puts very similar constraints on State support schemes as internal market rules; and federal control on price regulation under the Public Utilities Regulatory Policies Act (PURPA) in the US acts similarly to State aid control in the EU.

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The objectives of this thesis are to evaluate scheduling methods and most common construction project management software (CPMS) which are Primavera and MS Project, and to determine most widely used project scheduling techniques and CPMS with a survey. The thesis focus on project scheduling since it is very deterministic for project success. Evaluation results indicate that, Gantt Chart Method and PDM are useful for small to medium projects, CPM is for complex projects, PERT is for uncertain projects, and LOB Technique is for repetitive projects. The comparison between Primavera and MS Project show that Primavera is more robust, professional, and detailed while MS Project is cheaper and easier. The survey was completed with 22 participants from construction companies in the US and Turkey and the results demonstrate CPM and Gantt Chart Method are the most common methods. Also, MS Project is the most widely used CPMS followed by the Primavera.

New komplex of school buildings in Ostrava on Černá louka is the school with perspective for the future. It provides overall education and concentrate on maximum efficiency of learning proces. The idea links the theory with practical demonstration and intense learning with relaxation in nature enviromnemt. The teaching system support the independent activity of each individual and self-realization for everyone. The school allows some variability of internal organization of space and take into consideration the technology development and the capacity of youngsters to understand it and embrace it.

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Cancer is a leading cause of mortality worldwide, responsible for nearly one in six deaths. Thus, there is a need for a greater understanding of cancer for the development of novel therapeutics. This master thesis project aims to compare the proteome signatures between dying and surviving cancer cells treated with diverse anticancer drugs. The first aim is to investigate if drug targets behave similarly and have the same sign (up- or down-regulation) in dying versus surviving cells. The second aim is to validate that combining the dying cancer cell’s proteome with the surviving cell’s can help improve drug target rankings for anticancer treatments. The third aim is to identify proteins and pathways involved in life and death decisions by comparing dying and surviving states in response to the anticancer drugs in different cell lines. First, we demonstrate that drug target behaviour in dying versus surviving cells is almost identical for nine diverse anticancer compounds with a correlation of 0.93. To identify drug targets, orthogonal partial least squares-discriminant analysis (OPLS-DA) modelling was performed to contrast the proteome signature of one anticancer drug against all other drugs and rank the proteins based on the magnitude of the model’s predictive component. There were occasions when the dying cells gave better rankings than the surviving ones. In some cases, the best target rankings were obtained when combining the data from both surviving and dying cells. To identify proteins and pathways involved in life and death decisions, OPLS-DA modelling contrasting the two states was performed, and heatmaps and scatterplots of dying and surviving log2 fold changes were made. As a result, several pathways involved in cell survival and cell death were identified. In addition, at least six proteins consistently differentially regulated between the surviving and dying cells were identified. Such proteins can be considered as putative survival (resistance) or sensitivity biomarkers and serve as potential drug targets for the development of novel anticancer agents.

No / The advances of the polymer melt flow-induced crystallization behaviour and its influence on mechanical properties of high density polyethylene (HDPE) in micron injection (MI) were studied in the present paper. Analysis of mechanical performance, including yield stress and elongation at break, for samples adopted from different regions in a molded plaque showed that a higher injection speed, a higher mold temperature and a longer cooling time could effectively enhance the yield stress but negatively promoted the ductility. Then, the mechanisms of such variation of mechanical performance and the factors affecting it were investigated by means of differential scanning calorimetry (DSC), scanning electron microscopy (SEM) and polarized light microscopy (PLM). The super high shear rate during cavity feeding in MI molding not only induced a typical three-layered structure but also developed a highly oriented fibrously morphological structure in the skin layer. However, such fully oriented morphology was much negative in the interlayer and even could not be observed in the core layer. The results from SEM and PLM observations indicated that the orientation morphology varied significantly through the plaque's cross-section and thickness of the each layer changed with the process parameters and geometric position, and finally led to variation of the mechanical performance.

Cloud gaming over mobile networks enables players to play high-resource consuming games on low-end devices with various intrinsic restrictions such as limited battery lifetime and computational capacity. For mobile cloud gaming(MCG), the remaining battery level on the device is one of the critical factors that affect the sensitivity of user satisfaction. Thus, an android application is developed to measure the energy consumption of mobile devices that measure the power consumption of the device such that the obtained values correspond with the specific network conditions and users. The collected values are studied to identify if the energy consumption of the device is impacted by the network degradation that might occur during MCG in cellular networks. Results demonstrate that the energy consumption is at its highest when packet loss is 45% at 2ms RoundTrip Time (RTT) delay. Moreover, a qualitative study on the perceived Quality of Experience (QoE) of MCG over mobile networks is conducted and its impact on the energy consumption of the device is investigated where 31 users play a cloud-based First Person Shooter (FPS) for approximately 2 hours each. The results demonstrate the existence of the relationship between energy consumption and perceived QoE whereas negates the hypothesis of the existence of the relationship between QoE and CPU resources. In addition, to make comparisons of energy consumption of MCG with online mobile gaming (OMG), another test is carried out where each user plays another non-cloud-based FPS game and it is found that MCG is more efficient than OMG under the least energy-consuming network condition (2ms RTT delay) by 33.3% and the most energy consuming network condition (45% packet loss at 2ms RTT) by 32.7% in 4G cellular network.

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