66,063 research outputs found

    Editorial

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    The University's Assessment, Learning and Teaching strategy commits us to publishing a journal showcasing staff activities in relation to Assessment, Learning and Teaching. The Assessment, Learning and Teaching Journal is practice-based, reflective and pragmatic, and comprises papers of up to 1,500 words and book reviews of up to 200 words. The journal is refereed, all submissions being reviewed by two reviewers. It is normally published three times a year both in hard copy and electronically

    Development of Auditory Selective Attention: Why Children Struggle to Hear in Noisy Environments

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    Childrenā€™s hearing deteriorates markedly in the presence of unpredictable noise. To explore why, 187 school-age children (4ā€“11 years) and 15 adults performed a tone-in-noise detection task, in which the masking noise varied randomly between every presentation. Selective attention was evaluated by measuring the degree to which listeners were influenced by (i.e., gave weight to) each spectral region of the stimulus. Psychometric fits were also used to estimate levels of internal noise and bias. Levels of masking were found to decrease with age, becoming adult-like by 9ā€“11 years. This change was explained by improvements in selective attention alone, with older listeners better able to ignore noise similar in frequency to the target. Consistent with this, age-related differences in masking were abolished when the noise was made more distant in frequency to the target. This work offers novel evidence that improvements in selective attention are critical for the normal development of auditory judgments

    High efficiency compound semiconductor concentrator photovoltaics

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    Special emphasis was given to the high yield pilot production of packaged AlGaAs/GaAs concentrator solar cells, using organometallic VPE for materials growth, the demonstration of a concentrator module using 12 of these cells which achieved 16.4 percent conversion efficiency at 50 C coolant inlet temperature, and the demonstration of a spectral splitting converter module that achieved in excess of 20 percent efficiency. This converter employed ten silicon and ten AlGaAs cells with a dichroic filter functioning as the beam splitter. A monolithic array of AlGaAs/GaAs solar cells is described

    Universal nonequilibrium signatures of Majorana zero modes in quench dynamics

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    The quantum evolution after a metallic lead is suddenly connected to an electron system contains information about the excitation spectrum of the combined system. We exploit this type of "quantum quench" to probe the presence of Majorana fermions at the ends of a topological superconducting wire. We obtain an algebraically decaying overlap (Loschmidt echo) L(t)=āˆ£<Ļˆ(0)āˆ£Ļˆ(t)>āˆ£2āˆ¼tāˆ’Ī±{\cal L}(t)=| < \psi(0) | \psi(t) > |^2\sim t^{-\alpha} for large times after the quench, with a universal critical exponent Ī±\alpha=1/4 that is found to be remarkably robust against details of the setup, such as interactions in the normal lead, the existence of additional lead channels or the presence of bound levels between the lead and the superconductor. As in recent quantum dot experiments, this exponent could be measured by optical absorption, offering a new signature of Majorana zero modes that is distinct from interferometry and tunneling spectroscopy.Comment: 9 pages + appendices, 4 figures. v3: published versio

    Service Performance Indicators for Infrastructure Investment

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    Infrastructure systems serving modern economies are highly complex, highly interconnected, and often highly interactive. The result is increased complexity in investment decision-making, and increased challenges in prioritising that investment. However, this prioritisation is vital to developing a long-term, sound, robust and achievable pipeline of national infrastructure. One key to effective, objective and prudent investment prioritisation is understanding the real performance of infrastructure. Many metrics are employed to this end, and many are imposed by governments or regulators, but often these metrics relate only to inputs or outputs in a production process. Whilst these metrics may be useful for delivery agencies, they largely fail to address the real expectations or requirements of infrastructure users ā€” quality of service, safety, reliability, and resilience. What is required is a set of metrics which address not outputs but outcomes ā€” that is, how well does the infrastructure network meet service needs? This paper reports on a study undertaken at a national level, to identify service needs across a range of infrastructure sectors, to assess service performance metrics in use, and to show how they or other suitable metrics can be used to prioritise investment decisions across sectors and jurisdictions

    Structure of the chromosphere-corona transition region

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    Structure and energy distribution of chromosphere-corona transition regio

    Small perturbation dynamics of the neuromuscular system in tracking tasks

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    Small perturbation dynamics of neuromuscular system in tracking task

    The Role of Response Bias in Perceptual Learning

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    Sensory judgments improve with practice. Such perceptual learning is often thought to reflect an increase in perceptual sensitivity. However, it may also represent a decrease in response bias, with unpracticed observers acting in part on a priori hunches rather than sensory evidence. To examine whether this is the case, 55 observers practiced making a basic auditory judgment (yes/no amplitude-modulation detection or forced-choice frequency/amplitude discrimination) over multiple days. With all tasks, bias was present initially, but decreased with practice. Notably, this was the case even on supposedly ā€œbias-free,ā€ 2-alternative forced-choice, tasks. In those tasks, observers did not favor the same response throughout (stationary bias), but did favor whichever response had been correct on previous trials (nonstationary bias). Means of correcting for bias are described. When applied, these showed that at least 13% of perceptual learning on a forced-choice task was due to reduction in bias. In other situations, changes in bias were shown to obscure the true extent of learning, with changes in estimated sensitivity increasing once bias was corrected for. The possible causes of bias and the implications for our understanding of perceptual learning are discussed
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