489 resultados para Converts


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This study has the purpose of investigating the term reader-creator , on the textual aspects of the dramatical works A Morte nos Olhos , A Memória Ferida and Na Outra Margem (2010) by Antonia Pereira Bezerra. In this sense, we propose an analysis of these works based on author‟s life experience as creative matter for a autofictional narrative, highlighting the relations between the autobiographical elements (LEJEUNE, 2008; DOSSE, 2009) and fictional elements in the construction of dramatic narratives. The theoretical analysis pervades the studies fields of Reception Aesthetics (ISER, 1996), memory (RICOUER, 2007) and narrative (RICOEUR, 2010), evidencing the relation between the author and the pursuit of her memories and life experiences, the matter to elaboration of writing. Then we intend thinking a reader-creator of herself, that at the same time she seeks in her memories the biographic aspects to her narrative, she converts this reality with the insertion of fictional elements from the imagination (SARTRE, 2008)

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It is almost impossible to prove that a given software system achieves an absolute security level. This becomes more complicated when addressing multi-tenant cloud-based SaaS applications. Developing practical security properties and metrics to monitor, verify, and assess the behavior of such software systems is a feasible alternative to such problem. However, existing efforts focus either on verifying security properties or security metrics but not both. Moreover, they are either hard to adopt, in terms of usability, or require design-time preparation to support monitoring of such security metrics and properties which is not feasible for SaaS applications. In this paper, we introduce, to the best of our knowledge, the first unified monitoring platform that enables SaaS application tenants to specify, at run-time, security metrics and properties without design-time preparation and hence increases tenants’ trust of their cloud-assets security. The platform automatically converts security metrics and properties specifications into security probes and integrates them with the target SaaS application at run-time. Probes-generated measurements are fed into an analysis component that verifies the specified properties and calculates security metrics’ values using aggregation functions. This is then reported to SaaS tenants and cloud platform security engineers. We evaluated our platform expressiveness and usability, soundness, and performance overhead.

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Modern data centers host hundreds of thousands of servers to achieve economies of scale. Such a huge number of servers create challenges for the data center network (DCN) to provide proportionally large bandwidth. In addition, the deployment of virtual machines (VMs) in data centers raises the requirements for efficient resource allocation and find-grained resource sharing. Further, the large number of servers and switches in the data center consume significant amounts of energy. Even though servers become more energy efficient with various energy saving techniques, DCN still accounts for 20% to 50% of the energy consumed by the entire data center. The objective of this dissertation is to enhance DCN performance as well as its energy efficiency by conducting optimizations on both host and network sides. First, as the DCN demands huge bisection bandwidth to interconnect all the servers, we propose a parallel packet switch (PPS) architecture that directly processes variable length packets without segmentation-and-reassembly (SAR). The proposed PPS achieves large bandwidth by combining switching capacities of multiple fabrics, and it further improves the switch throughput by avoiding padding bits in SAR. Second, since certain resource demands of the VM are bursty and demonstrate stochastic nature, to satisfy both deterministic and stochastic demands in VM placement, we propose the Max-Min Multidimensional Stochastic Bin Packing (M3SBP) algorithm. M3SBP calculates an equivalent deterministic value for the stochastic demands, and maximizes the minimum resource utilization ratio of each server. Third, to provide necessary traffic isolation for VMs that share the same physical network adapter, we propose the Flow-level Bandwidth Provisioning (FBP) algorithm. By reducing the flow scheduling problem to multiple stages of packet queuing problems, FBP guarantees the provisioned bandwidth and delay performance for each flow. Finally, while DCNs are typically provisioned with full bisection bandwidth, DCN traffic demonstrates fluctuating patterns, we propose a joint host-network optimization scheme to enhance the energy efficiency of DCNs during off-peak traffic hours. The proposed scheme utilizes a unified representation method that converts the VM placement problem to a routing problem and employs depth-first and best-fit search to find efficient paths for flows.

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Alfonso de Cartagena (1385-1456), possibly the most representative figure of the courtly, political and cultural dimension built around Juan II, was the third son of the famous convert Pablo de Santa Maria, Burgos’ rabbi and, later on, bishop of that same town. He started his career as governor of Cartagena’s cathedral, afterwards he was named dean of Santiago and Segovia, canon of Burgos and, after his father’s death, bishop of Burgos. Alternatively, he played a vital role in Castile’s national and international politics, as an ambassador in Portugal’s court, at Basel’s council and before Poland’s and Germany’s kings. His work, written both in Latin and Romance, either as an historian, treatise writer, theologist or translator, is quite broad; his literary connections were strong either with Italian humanists or with those who were fond of the language arts from Spain. The first part of this Thesis seeks to provide a wide enough perspective of the author, for which we place the emphasis on the most distinctive aspects of his life. Therefore, we divided the introduction in three sections: a biographical overview, his work and, last, a study on the Memoriale uirtutum itself. Thus, regarding the first aspect, we focus on the course of his life (§1.1), where we can highlight his university education, which isn’t restricted to his training as a jurist, but we also observe that his mental vitality takes him to develop certain inquisitiveness for Moral Philosophy or Latin, which leads him to study Grammar and Rhetoric; this would allow the influence of studia humanitatis to emerge, although he never got to learn the Greek language, as we can deduce from the epistolary confrontation between him and Leonardo Bruni. We also focus on the significance of his Jewish past, upon the defence of the converts during the massacre experienced in the XVth century (§1.2), and on his presence at Basel’s council (§1.3). Despite the fact that his work as a diplomat begins during the missions in Portugal as an emissary of king Juan II, he will get recognition owing to his legation in Basel, not only among the European ecclesiastics, but also among the scholars from Italy; the importance of Basel’s council in Cartagena’s life goes beyond his official work there, either as defending the Castilian interests, or as an active member of the purely conciliar functions, since it also had a huge impact in his intellectual growth. During this time period, Cartagena establishes a friendship with Pizzolpaso, Bishop of Milan, writer, humanist, and friend of Leonardo Bruni. As a result of this type of relationship with men of such high cultural standard, he re-awakens the study of the Classical antiquity among his contemporaries, developing a huge interest in the Greco-Roman masterpieces, which will bring him closely to the highly-regarded Spanish humanists of the XVIth century...

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Image and video compression play a major role in the world today, allowing the storage and transmission of large multimedia content volumes. However, the processing of this information requires high computational resources, hence the improvement of the computational performance of these compression algorithms is very important. The Multidimensional Multiscale Parser (MMP) is a pattern-matching-based compression algorithm for multimedia contents, namely images, achieving high compression ratios, maintaining good image quality, Rodrigues et al. [2008]. However, in comparison with other existing algorithms, this algorithm takes some time to execute. Therefore, two parallel implementations for GPUs were proposed by Ribeiro [2016] and Silva [2015] in CUDA and OpenCL-GPU, respectively. In this dissertation, to complement the referred work, we propose two parallel versions that run the MMP algorithm in CPU: one resorting to OpenMP and another that converts the existing OpenCL-GPU into OpenCL-CPU. The proposed solutions are able to improve the computational performance of MMP by 3 and 2:7 , respectively. The High Efficiency Video Coding (HEVC/H.265) is the most recent standard for compression of image and video. Its impressive compression performance, makes it a target for many adaptations, particularly for holoscopic image/video processing (or light field). Some of the proposed modifications to encode this new multimedia content are based on geometry-based disparity compensations (SS), developed by Conti et al. [2014], and a Geometric Transformations (GT) module, proposed by Monteiro et al. [2015]. These compression algorithms for holoscopic images based on HEVC present an implementation of specific search for similar micro-images that is more efficient than the one performed by HEVC, but its implementation is considerably slower than HEVC. In order to enable better execution times, we choose to use the OpenCL API as the GPU enabling language in order to increase the module performance. With its most costly setting, we are able to reduce the GT module execution time from 6.9 days to less then 4 hours, effectively attaining a speedup of 45 .

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Faith can be a powerful force for positive development and social change, but as James (2011) notes, it is a highly flammable fuel that can also easily result in negative outcomes. The pervasive influence of religion in the lives of many gives it a unique ability to shape both individual and communal identities (perceptions of self and others). While religious identities can be an extremely positive force, they can also be used as a source for exclusive and intolerant attitudes, with a potential to feed nationalisms that become motivators or justifications for conflict. This is particularly true in tense multi-religious contexts where competing ethnoreligious nationalistic identities and historical claims are forced to coexist – especially for faith-based development agencies that relate to one of those identities.This chapter explores the work of a small local Christian faith-based organisation (FBO) working in Buddhist communities in a region of significant Buddhist–Muslim tension and recent violent communal conflict, as a case study of development across complex faith boundaries. Local FBO Bethel works in partnership with the international FBO GraceWorks Myanmar (GWM). Making this case particularly interesting, Bethel has evolved out of a related religious organisation that still maintains a mandate for preaching a contextual Christian message to Buddhists, and most of the local workers are converts from Buddhism. Given the most inflammatory religious sparks for worsening conflicts are widely regarded to be discriminatory practices and proselytism – or perceptions of proselytism (e.g. Clarke and Jennings 2008; Flanigan 2010) – this case study is interesting for the way these issues are handled. This chapter includes new research examining whether and how this FBO has been able to avoid inflaming tensions and has been broadly granted a social mandate to operate in Buddhist communities, even though it constitutes a third religious actor in a context of vitriolic interreligious conflict.

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Background: Community-based initiatives show promise for preventing childhood obesity. They are characterized by community leaders and members working together to address complex local drivers of energy balance.

Objectives: To present a protocol for a stepped wedge cluster randomized trial in ten communities in the Great South Coast Region of Victoria, Australia to test whether it is possible to: (1) strengthen community action for childhood obesity prevention, and (2) measure the impact of increased action on risk factors for childhood obesity.

Methods: The WHO STOPS intervention involves a facilitated community engagement process that: creates an agreed systems map of childhood obesity causes for a community; identifies intervention opportunities through leveraging the dynamic aspects of the system; and, converts these understandings into community-built, systems-oriented action plans. Ten communities will be randomized (1:1) to intervention or control in year one and all communities will be included by year three. The primary outcome is childhood obesity prevalence among grade two (ages 7-8 y), grade four (9-10 y) and grade six (11-12 y) students measured using our established community-led monitoring system (69% school and 93% student participation rate in government and independent schools). An additional group of 13 external communities from other regions of Victoria with no specific interventions will provide an external comparison. These communities will also allow us to assess diffusion of the intervention to control communities during the first three years of the trial.

Conclusion: This trial will test effectiveness, over a five-year period, of community-owned, -supported and -led strategies designed to address complex and dynamic causes of childhood obesity.

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A photovoltaic cell is a component which converts light energy into electrical energy. Different environmental parameters and internal parameters have a great impact on the output of the photovoltaic cell. To identify its characteristics and estimate the output, the well known Shockley diode equation is used. This equation contains all the parameters, as one environmental and different internal. The properties of these parameters were studied and their sensitivity have been analyzed through the use of an error function; this error function allows the study of the behaviour of the parameters and their characteristics against the output of the photovoltaic cell through the analysis of its curves giving the sensitivity of the different parameters to the output of the photovoltaic cell. Using these results the impact of the parameters of the photovoltaic cell has been clearly identified. White noise is included both with the ideal values and the simulation and the ideal value is imposed to get the real time environment flavor. This work analyses both systems with and without white noise.

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The genetic algorithm is a very efficient tool to solve optimization problems. On the other hand, the classroom assignation in any education center, particularly those that does not have enough quantity of classrooms for the courseʼs demand converts it in an optimization problem. In the Department of Computer Science (Universidad de Costa Rica) this work is carried out manually every six months. Besides, at least two persons of the department are dedicated full time to this labor for one week or more. The present article describes an automatic solution that not only reduces the response time to seconds but it also finds an optimal solution in the majority of the cases. In addition gives flexibility in using the program when the information involved with classroom assignation has to be updated. The interface is simple an easy to use.