40 resultados para Error in essence


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Drawing on a model of spectator understanding of error in
performance in the literature, we document a qualitative
experiment that explores the relationships between domain
knowledge, mental models, intention and error recognition
by spectators of performances with electronic instruments.
Participants saw two performances with contrasting instruments,
with controls on their mental model and understanding
of intention. Based on data from a subsequent structured
interview, we identify themes in participants’ judgements
and understanding of performance and explanations
of their spectator experience. These reveal both elements
of similarity and difference between the two performances,
instruments and between domain knowledge groups. From
these, we suggest and discuss implications for the design of
novel performative interactions with technology

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In this paper, a low complexity system for spectral analysis of heart rate variability (HRV) is presented. The main idea of the proposed approach is the implementation of the Fast-Lomb periodogram that is a ubiquitous tool in spectral analysis, using a wavelet based Fast Fourier transform. Interestingly we show that the proposed approach enables the classification of processed data into more and less significant based on their contribution to output quality. Based on such a classification a percentage of less-significant data is being pruned leading to a significant reduction of algorithmic complexity with minimal quality degradation. Indeed, our results indicate that the proposed system can achieve up-to 45% reduction in number of computations with only 4.9% average error in the output quality compared to a conventional FFT based HRV system.

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Ten male patients presented between 1985 and 1991 with benign urethral polyps. This lesion is believed to represent a developmental error in the invagination process of the submucous glandular material of the inner zone of the prostate. The clinicopathological features of the condition are discussed and the literature is reviewed.

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This article offers a critical reassessment of the Soviet role in the Spanish Civil War, based on recent scholarship and declassified official documents. The author interrogates the broad historiographical consensus that reduces Soviet intervention in Spain to a sinister and nefarious force. Stalin's ignominious reputation vis-à-vis the Loyalist side is present in nearly all Western scholarship on the war, whether specialized studies by Nationalist sympathizers or Republicans in exile, or general treatments of European history written in England or America. It would be difficult to locate even a brief overview of the Civil War published outside of Russia that does not in some fashion demonize the Soviet dictator and the Soviet military assistance, code-named ‘Operation X’. The author argues that the basic error in the wide-ranging literature of this topic has always been to approach Stalin's position in Spain as one based on strength rather than weakness. If framed within the context of failure, Stalin's long-standing reputation as the villain of the Civil War may appear in a strikingly different light, and Soviets’ overall contribution to the Loyalist struggle therefore deserving a nuanced revision. The author also explores the multiple strands of the Soviet-Spanish relationship, which included not only military aid but also diplomatic, cultural and humanitarian facets.

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There are widely differing conceptions as to whether healthy social relations are, in essence, conflictual or consensual; such differences give rise to different approaches to finding peace and managing power. This article outlines the two broad schools of thought from conflict theory (in which society functions through competition) and consensus theory (which sees society developing through cooperation). It outlines the middle ground between them, as found by pluralism and agonism, before considering the ways in which assumptions vis-a-vis conflict and consensus are reflected in different models of democratic system and, in particular, different priorities for post-conflict recovery.

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Cao et al. reported a possible progenitor detection for the Type Ib supernovae iPTF13bvn for the first time. We find that the progenitor is in fact brighter than the magnitudes previously reported by approximately 0.7-0.2 mag with a larger error in the bluer filters. We compare our new magnitudes to our large set of binary evolution models and find that many binary models with initial masses in the range of 10-20M(circle dot) match this new photometry and other constraints suggested from analysing the supernova. In addition, these lower mass stars retain more helium at the end of the model evolution indicating that they are likely to be observed as Type Ib supernovae rather than their more massive, Wolf-Rayet counter parts. We are able to rule out typical Wolf-Rayet models as the progenitor because their ejecta masses are too high and they do not fit the observed SED unless they have a massive companion which is the observed source at the supernova location. Therefore only late-time observations of the location will truly confirm if the progenitor was a helium giant and not a Wolf-Rayet star.

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Visual salience is an intriguing phenomenon observed in biological neural systems. Numerous attempts have been made to model visual salience mathematically using various feature contrasts, either locally or globally. However, these algorithmic models tend to ignore the problem’s biological solutions, in which visual salience appears to arise during the propagation of visual stimuli along the visual cortex. In this paper, inspired by the conjecture that salience arises from deep propagation along the visual cortex, we present a Deep Salience model where a multi-layer model based on successive Markov random fields (sMRF) is proposed to analyze the input image successively through its deep belief propagation. As a result, the foreground object can be automatically separated from the background in a fully unsupervised way. Experimental evaluation on the benchmark dataset validated that our Deep Salience model can consistently outperform eleven state-of-the-art salience models, yielding the higher rates in the precision-recall tests and attaining the best F-measure and mean-square error in the experiments.

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Purpose: To study the effect of free glasses combined with teacher incentives on in-school glasses wear among Chinese urban migrant children. Design: Cluster-randomized controlled trial. Methods: Children with VA <= 6/12 in either eye due to refractive error in 94 randomly-chosen primary schools underwent randomization by school to receive free glasses, education on their use and a teacher incentive (Intervention), or glasses prescriptions only (Control). Intervention group teachers received a tablet computer if >= 80% of children given glasses wore them during un-announced visits 6 weeks and 6 months (main outcome) after intervention. Results: Among 4376 children, 728 (16.7%, mean age 10.9 years, 51.0% boys) met enrollment criteria and were randomly allocated, 358 (49.2%, 47 schools) to Intervention and 370 (50.8%, 47 schools) to Control. Among these, 693 children (95.2%) completed the study and underwent analysis. Spectacle wear was significantly higher at 6 months among Intervention children (Observed [main outcome]: 68.3% versus 23.9%, Adjusted Odds Ratio [OR]=11.5, 95% Confidence Interval [CI] 5.91-22.5, P<0.001; Self-reported: 90.6% versus 32.1%, OR = 43.7, 95% CI = 21.7-88.5, P < 0.001). Other predictors of observed wear at 6 months included baseline spectacle wear (P<0.001), uncorrected VA<6/18 (P=0.01) and parental spectacle wear (P=0.02). The 6-month observed wear rate was only 41% among similar-aged children provided free glasses in our previous trial without teacher incentives. Conclusions: Free spectacles and teacher incentives maintain classroom wear in the large majority of children needing glasses over a school year. Low wear among Control children demonstrates the need for interventions.

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Streets are key elements of urban space; they are in essence public spaces and connect diverse areas of the city weaving the urban fabric. Once motorways replace existing streets, they tear the fabric and transform the qualities of the urban landscape. As in many cities throughout the world, in Belfast during the 1960s the growth of private car ownership took over the development of the city. The Roads Authority developed plans (1964/1969) to build a ring road surrounding most of the city. This deeply affected the use and shape of the city until today. This plan focused on encouraging the move of population to the outskirts of the city. However, the connections between the city centre and its surrounding neighbourhoods were broken. Only the southern stretch of the motorway was not built. This allowed the connection between South Belfast and the city centre to remain seamless. The current possibility of building the southern stretch of motorway threatens this continuity. This paper will highlight the very high value of streets by analysing their physical qualities.

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The development of the latest generation of wide-body carbon-fibre composite passenger aircraft has heralded a new era in the utilisation of these materials. The premise of superior specific strength and stiffness, corrosion and fatigue resistance, is tempered by high development costs, slow production rates and lengthy and expensive certification programmes. Substantial effort is currently being directed towards the development of new modelling and simulation tools, at all levels of the development cycle, to mitigate these shortcomings. One of the primary challenges is to reduce the extent of physical testing, in the certification process, by adopting a ‘certification by simulation’ approach. In essence, this aspirational objective requires the ability to reliably predict the evolution and progression of damage in composites. The aerospace industry has been at the forefront of developing advanced composites modelling tools. As the automotive industry transitions towards the increased use of composites in mass-produced vehicles, similar challenges in the modelling of composites will need to be addressed, particularly in the reliable prediction of crashworthiness. While thermoset composites have dominated the aerospace industry, thermoplastics composites are likely to emerge as the preferred solution for meeting the high-volume production demands of passenger road vehicles. This keynote presentation will outline recent progress and current challenges in the development of finite-element-based predictive modelling tools for capturing impact damage, residual strength and energy absorption capacity of thermoset and thermoplastic composites for crashworthiness assessments.