990 resultados para Radishchev, Aleksandr Nikolaevich, 1749-1802.


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This paper analyses the interaction between neoliberal inspired reforms of public services and the mechanisms for achieving public accountability. Where once accountability was exercised through the ballot box, now in the neoliberal age managerial and market based forms of accountability predominate. The analysis identifies resistance from civil society campaigns to the neoliberal restructuring of public services which leads to public accountability (PA) becoming a contested arena. To develop this analysis a re-theorisation of PA, as a relationship where civil society seeks to control the state, is explored in the context of social housing in England over the past thirty years. Central to this analysis is a dialogical analysis of key documents from a social housing regulator and civil society campaign. The analysis shows that the current PA practices are an outcome of both reforms from the government and resistance from civil society (in the shape of tenants’ campaigns). The outcome of which is to tell the story of the changes in PA (and accountability) centring on an analysis of discourse. Thus, the paper moves towards answering the question – what has happened to PA during the neoliberal age?

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In this study, an amphibian (Odorrana hejiangensis) skin extract was fractionated by reverse phase HPLC and fractions were screened for trypsin inhibitory activity. Using this initial approach, a novel trypsin inhibitory peptide was detected with an apparent protonated molecular mass of 1804.83Da, as determined by MALDI-TOF mass spectrometry. It was named Hejiang trypsin inhibitor (HJTI) in accordance. The primary structure of the biosynthetic precursor of HJTI was deduced from a cDNA sequence cloned from a skin-derived cDNA library. The primary structure of the encoded predicted mature active peptide was established as: GAPKGCWTKSYPPQPCS (non-protonated monoisotopic molecular mass - 1802.81Da). On the basis of this unequivocal amino acid sequence, a synthetic replicate was synthesized by solid phase Fmoc chemistry. This replicate displayed a moderately potent trypsin inhibition with a K(i) of 388nM. Bioinformatic analysis of the primary structure of this peptide indicated that it was a member of the Bowman-Birk family of protease inhibitors. The substitutions of Gln-14 and Ser-17 by Lys, resulted in an increase in cationicity and a small increase in potency to a K(i) value of 218nM. Neither HJTI nor its synthetic analog, possessed any significant antimicrobial activity.

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New understandings arise as we encounter the emergent integration of both rational and emotional, physical and spiritual, masculine and feminine through imagination, myth, and storytelling. This expanded space fosters an iterative spiraling process whereby new personal and collective futures emerge from transformative possibilities. Contemplating love and the situatedness of our being creates a space for seeing differently, more inclusively. Thought Woman tells a story of encounters arising from contemplation, framing an emancipatory path toward wholeness and unity, being shaped through becoming, recognizing the interrelated web of life wherein humankind can flourish. Flourishing represents the central focus of the critical accounting project.

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Background: Tonsillectomy is one of the most common surgical procedures, but there is debate whether systemic steroids should be used to reduce pain and post-operative complications.

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Since the late 1980s, there has been a significant and progressive movement away from the traditional Public Administration (PA) systems, in favour of NPM-type accounting tools and ideas inspired by the private sector. More recently, a new focus on governance systems, under the banner Public Governance (PG), has emerged. In this paper it is argued that reforms are not isolated events, but are embedded in more global discourses of modernisation and influenced by the institutional pressures present in a certain field at certain points in time. Using extensive document analysis in three countries with different administrative regimes (the UK, Italy and Austria), we examine public sector accounting and budgeting reforms and the underlying discourses put forward in order to support the change. We investigate the extent to which the actual content of the reforms and the discourses they are embedded within are connected over time; that is, whether, and to what degree, the reform “talk” matches the “decisions”. The research shows that in both the UK and in Italy there is consistency between the debates and the decided changes, although the dominant discourse in each country differs, while in Austria changes are decided gradually, and only after they have been announced well in advance in the political debate. We find that in all three countries the new ideas and concepts layer and sediment above the existing ones, rather than replace them. Although all three countries underwent similar accounting and budgeting reforms and relied on similar institutional discourses, each made its own specific translation of the ideas and concepts and is characterised by a specific formation of sedimentations. In addition, the findings suggest that, at present in the three countries, the PG discourse is used to supplement, rather than supplant, other prevailing discourses.

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London’s successful bid for the 2012 Olympic Games presented a diverse, cosmopolitan city opening its arms and “welcoming the world.” This article explores the apparently benign gesture of hospitality contained in London’s official candidature files submitted in 2004 and asks how such a promise of inclusiveness is managed. We argue that London’s depiction of itself as hospitable to every kind of visitor relies on subtle techniques of governmentality in which the subject positions of “host” and “guest” are imagined and produced in ways that make them more governable. By this, we are not referring to acts of authority, coercion, or discipline that exclude subjects or render them docile bodies within a rigid panoptical city. Rather, we are referring to the delicate ways in which the official bid document imagines and produces the ideal subject positions of host and guest and in so doing enables, encourages, and incentivizes certain behaviors. This analysis of urban welcoming takes us beyond reductive oppositions of hospitality and hostility, inclusion and exclusion, self and other. It focuses instead on how London’s inclusive welcome produces a variety of host and guest positions (for example, the “Olympic Family,” volunteers, guest workers), segregates them within the city, and then “conducts their conduct” in the areas of planning, security, transport, accommodation, education, and training. By analyzing the techniques of governmentality at work in London’s 2004 bid document, this article foregrounds the enabling form of power driving the city’s inclusive welcome and exposes its inherent micropolitics.

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The scheduling problem in distributed data-intensive computing environments has become an active research topic due to the tremendous growth in grid and cloud computing environments. As an innovative distributed intelligent paradigm, swarm intelligence provides a novel approach to solving these potentially intractable problems. In this paper, we formulate the scheduling problem for work-flow applications with security constraints in distributed data-intensive computing environments and present a novel security constraint model. Several meta-heuristic adaptations to the particle swarm optimization algorithm are introduced to deal with the formulation of efficient schedules. A variable neighborhood particle swarm optimization algorithm is compared with a multi-start particle swarm optimization and multi-start genetic algorithm. Experimental results illustrate that population based meta-heuristics approaches usually provide a good balance between global exploration and local exploitation and their feasibility and effectiveness for scheduling work-flow applications. © 2010 Elsevier Inc. All rights reserved.

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In this paper, we investigate adaptive linear combinations of graph coloring heuristics with a heuristic modifier to address the examination timetabling problem. We invoke a normalisation strategy for each parameter in order to generalise the specific problem data. Two graph coloring heuristics were used in this study (largest degree and saturation degree). A score for the difficulty of assigning each examination was obtained from an adaptive linear combination of these two heuristics and examinations in the list were ordered based on this value. The examinations with the score value representing the higher difficulty were chosen for scheduling based on two strategies. We tested for single and multiple heuristics with and without a heuristic modifier with different combinations of weight values for each parameter on the Toronto and ITC2007 benchmark data sets. We observed that the combination of multiple heuristics with a heuristic modifier offers an effective way to obtain good solution quality. Experimental results demonstrate that our approach delivers promising results. We conclude that this adaptive linear combination of heuristics is a highly effective method and simple to implement.

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The conserved habenular neural circuit relays cognitive information from the forebrain into the ventral mid- and hindbrain. In zebrafish, the bilaterally formed habenulae in the dorsal diencephalon are made up of the asymmetric dorsal and symmetric ventral habenular nuclei, which are homologous to the medial and lateral nuclei respectively, in mammals. These structures have been implicated in various behaviors related to the serotonergic/dopaminergic neurotransmitter system. The dorsal habenulae develop adjacent to the medially positioned pineal complex. Their precursors differentiate into two main neuronal subpopulations which differ in size across brain hemispheres as signals from left-sided parapineal cells influence their differentiation program. Unlike the dorsal habenulae and despite their importance, the ventral habenulae have been poorly studied. It is not known which genetic programs underlie their development and why they are formed symmetrically, unlike the dorsal habenulae. A main reason for this lack of knowledge is that the vHb origin has remained elusive to date.

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This paper presents a scalable, statistical ‘black-box’ model for predicting the performance of parallel programs on multi-core non-uniform memory access (NUMA) systems. We derive a model with low overhead, by reducing data collection and model training time. The model can accurately predict the behaviour of parallel applications in response to changes in their concurrency, thread layout on NUMA nodes, and core voltage and frequency. We present a framework that applies the model to achieve significant energy and energy-delay-square (ED2) savings (9% and 25%, respectively) along with performance improvement (10% mean) on an actual 16-core NUMA system running realistic application workloads. Our prediction model proves substantially more accurate than previous efforts.

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The exponential growth in user and application data entails new means for providing fault tolerance and protection against data loss. High Performance Com- puting (HPC) storage systems, which are at the forefront of handling the data del- uge, typically employ hardware RAID at the backend. However, such solutions are costly, do not ensure end-to-end data integrity, and can become a bottleneck during data reconstruction. In this paper, we design an innovative solution to achieve a flex- ible, fault-tolerant, and high-performance RAID-6 solution for a parallel file system (PFS). Our system utilizes low-cost, strategically placed GPUs — both on the client and server sides — to accelerate parity computation. In contrast to hardware-based approaches, we provide full control over the size, length and location of a RAID array on a per file basis, end-to-end data integrity checking, and parallelization of RAID array reconstruction. We have deployed our system in conjunction with the widely-used Lustre PFS, and show that our approach is feasible and imposes ac- ceptable overhead.

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Studies of urban metabolism provide important insights for environmental management of cities, but are not widely used in planning practice due to a mismatch of data scale and coverage. This paper introduces the Spatial Allocation of Material Flow Analysis (SAMFA) model as a potential decision support tool aimed as a contribution to overcome some of these difficulties and describes its pilot use at the county level in the Republic of Ireland. The results suggest that SAMFA is capable of identifying hotspots of higher material and energy use to support targeted planning initiatives, while its ability to visualise different policy scenarios supports more effective multi-stakeholder engagement. The paper evaluates this pilot use and sets out how this model can act as an analytical platform for the industrial ecology–spatial planning nexus.

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Sparse representation based visual tracking approaches have attracted increasing interests in the community in recent years. The main idea is to linearly represent each target candidate using a set of target and trivial templates while imposing a sparsity constraint onto the representation coefficients. After we obtain the coefficients using L1-norm minimization methods, the candidate with the lowest error, when it is reconstructed using only the target templates and the associated coefficients, is considered as the tracking result. In spite of promising system performance widely reported, it is unclear if the performance of these trackers can be maximised. In addition, computational complexity caused by the dimensionality of the feature space limits these algorithms in real-time applications. In this paper, we propose a real-time visual tracking method based on structurally random projection and weighted least squares techniques. In particular, to enhance the discriminative capability of the tracker, we introduce background templates to the linear representation framework. To handle appearance variations over time, we relax the sparsity constraint using a weighed least squares (WLS) method to obtain the representation coefficients. To further reduce the computational complexity, structurally random projection is used to reduce the dimensionality of the feature space while preserving the pairwise distances between the data points in the feature space. Experimental results show that the proposed approach outperforms several state-of-the-art tracking methods.