2,166 research outputs found

    Governance implications of the UN Higher Education Sustainability Initiative

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    The Higher Education Sustainability Initiative (HESI, 2017a) states that higher education institutions (HEIs) are integrating the SDGs into sustainability strategies in the form of research, teaching, pedagogy, and campus practices, and to position HEIs as key drivers for achieving the UN Sustainable Development Goals (SDGs). Concern has been raised (HESI, 2017b) as to the potential impact of HEIs in helping to achieve the SDGs; the challenges faced by HEIs with integrating the SDGs into curriculum and institutional strategies; the role of partnerships for HEIs among students, faculty, government, and various stakeholders; and how the adoption of the 2030 Agenda for Sustainable Development, including the SDGs, will transform the work of HEIs. Prior research has highlighted the importance of interdisciplinary and trans-disciplinary research and studies (e.g. Mader & Rammel, 2015); and more recently Rasche et al (2017) conceive that governance systems in general can serve to make, take, or break support for the SDGs. In fact, Velazquez et al., (2005) found many obstacles preventing the success of sustainability initiatives on campuses around the world. This paper reviews progress of a sample of 300+ HEIs that are signatories to the HESI. Findings reveal a difference between HEI governance that is ‘instrumental’ and governance that is ‘holistic’ in relation to sustainability with implications for achieving the SDGs in general and for academic-business partnerships in particular. The research is supported by a grant from Enterprise Educators UK (EEUK, 2017) a network of 1,600 enterprise and entrepreneurship educators and practitioners from over 100 UK Higher and Further Education Institutions and related organisations

    Quantum Enhanced Multiple Phase Estimation

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    We study the simultaneous estimation of multiple phases as a discretised model for the imaging of a phase object. We identify quantum probe states that provide an enhancement compared to the best quantum scheme for the estimation of each individual phase separately, as well as improvements over classical strategies. Our strategy provides an advantage in the variance of the estimation over individual quantum estimation schemes that scales as O(d) where d is the number of phases. Finally, we study the attainability of this limit using realistic probes and photon-number-resolving detectors. This is a problem in which an intrinsic advantage is derived from the estimation of multiple parameters simultaneously.Comment: Accepted by Physical Review Letter

    The entrepreneurial university as an engine for sustainable development

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    This study adopts a novel approach of conceptualising entrepreneurial universities through the lens of the UN higher education sustainability initiative (HESI). Transcending the narrow approach of the entrepreneurial universities as generating spin-offs, entrepreneurial universities are closely linked with the concept of sustainable development. Interpreting entrepreneurial universities as agents promoting economic, social and environmental change, the HESI can offer a useful framework for expanding the potential of entrepreneurial universities. This study reveals that whilst the majority of HESI signatories only commit to a limited number of sustainable development goals (SDGs), there is sufficient evidence of ‘best practices’ to regard the HESI as a useful and transformative framework for HEIs that can encourage innovation and entrepreneurship. To this extent, this paper aims to capture the interaction between entrepreneurial universities and the SDGs. However, the paper draws attention to the need for a holistic approach for HEIs that allows for more transdisciplinary thinking and collaboration. It is revealed that this can be challenging for HEIs. Keywords: entrepreneurial university; sustainability; higher education sustainability initiative; HESI; sustainable development goals; SDGs; entrepreneurship

    Kinematics of a hot massive accretion disk candidate

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    Characterizing rotation, infall and accretion disks around high-mass protostars is an important topic in massive star formation research. With the Australia Telescope Compact Array and the Very Large Array we studied a massive disk candidate at high angular resolution in ammonia (NH3(4,4) & (5,5)) tracing the warm disk but not the envelope. The observations resolved at ~0.4'' resolution (corresponding to ~1400AU) a velocity gradient indicative of rotation perpendicular to the molecular outflow. Assuming a Keplerian accretion disk, the estimated protostar-disk mass would be high, similar to the protostellar mass. Furthermore, the position-velocity diagram exhibits additional deviation from a Keplerian rotation profile which may be caused by infalling gas and/or a self-gravitating disk. Moreover, a large fraction of the rotating gas is at temperatures >100K, markedly different to typical low-mass accretion disks. In addition, we resolve a central double-lobe cm continuum structure perpendicular to the rotation. We identify this with an ionized, optically thick jet.Comment: 5 pages, 3 figures, accepted for Astrophysical Journal Letters, a high-resolution version of the draft can be found at http://www.mpia.de/homes/beuther/papers.htm

    Large-Alphabet Time-Frequency Entangled Quantum Key Distribution by means of Time-to-Frequency Conversion

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    We introduce a novel time-frequency quantum key distribution (TFQKD) scheme based on photon pairs entangled in these two conjugate degrees of freedom. The scheme uses spectral detection and phase modulation to enable measurements in the temporal basis by means of time-to-frequency conversion. This allows large-alphabet encoding to be implemented with realistic components. A general security analysis for TFQKD with binned measurements reveals a close connection with finite-dimensional QKD protocols and enables analysis of the effects of dark counts on the secure key size.Comment: 14 pages, 3 figures, submitte

    Evolution and excitation conditions of outflows in high-mass star-forming regions

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    Theoretical models suggest that massive stars form via disk-mediated accretion, with bipolar outflows playing a fundamental role. A recent study toward massive molecular outflows has revealed a decrease of the SiO line intensity as the object evolves. The present study aims at characterizing the variation of the molecular outflow properties with time, and at studying the SiO excitation conditions in outflows associated with massive YSOs. We used the IRAM30m telescope to map 14 massive star-forming regions in the SiO(2-1), SiO(5-4) and HCO+(1-0) outflow lines, and in several dense gas and hot core tracers. Hi-GAL data was used to improve the spectral energy distributions and the L/M ratio, which is believed to be a good indicator of the evolutionary stage of the YSO. We detect SiO and HCO+ outflow emission in all the sources, and bipolar structures in six of them. The outflow parameters are similar to those found toward other massive YSOs. We find an increase of the HCO+ outflow energetics as the object evolve, and a decrease of the SiO abundance with time, from 10^(-8) to 10^(-9). The SiO(5-4) to (2-1) line ratio is found to be low at the ambient gas velocity, and increases as we move to high velocities, indicating that the excitation conditions of the SiO change with the velocity of the gas (with larger densities and/or temperatures for the high-velocity gas component). The properties of the SiO and HCO+ outflow emission suggest a scenario in which SiO is largely enhanced in the first evolutionary stages, probably due to strong shocks produced by the protostellar jet. As the object evolves, the power of the jet would decrease and so does the SiO abundance. During this process, however, the material surrounding the protostar would have been been swept up by the jet, and the outflow activity, traced by entrained molecular material (HCO+), would increase with time.Comment: 31 pages, 10 figures and 5 tables (plus 2 figures and 3 tables in the appendix). Accepted for publication in A&A. [Abstract modified to fit the arXiv requirements.

    Simplified Quantum Process Tomography

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    We propose and evaluate experimentally an approach to quantum process tomography that completely removes the scaling problem plaguing the standard approach. The key to this simplification is the incorporation of prior knowledge of the class of physical interactions involved in generating the dynamics, which reduces the problem to one of parameter estimation. This allows part of the problem to be tackled using efficient convex methods, which, when coupled with a constraint on some parameters allows globally optimal estimates for the Kraus operators to be determined from experimental data. Parameterising the maps provides further advantages: it allows the incorporation of mixed states of the environment as well as some initial correlation between the system and environment, both of which are common physical situations following excitation of the system away from thermal equilibrium. Although the approach is not universal, in cases where it is valid it returns a complete set of positive maps for the dynamical evolution of a quantum system at all times.Comment: Added references to interesting related work by Bendersky et a

    Continuous-Variable Quantum Computing in Optical Time-Frequency Modes using Quantum Memories

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    We develop a scheme for time-frequency encoded continuous-variable cluster-state quantum computing using quantum memories. In particular, we propose a method to produce, manipulate and measure 2D cluster states in a single spatial mode by exploiting the intrinsic time-frequency selectivity of Raman quantum memories. Time-frequency encoding enables the scheme to be extremely compact, requiring a number of memories that is a linear function of only the number of different frequencies in which the computational state is encoded, independent of its temporal duration. We therefore show that quantum memories can be a powerful component for scalable photonic quantum information processing architectures.Comment: 5 pages, 6 figures, and supplementary information. Updated to be consistent with published versio

    Exploring Entrepreneurship Education Effectiveness at British Universities – An Application of the World Café Method

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    Universities have made significant investments in entrepreneurship programs for decades, but the scope, relevance and usefulness of entrepreneurship education are still questioned. This study aims to explore the meaning of effectiveness as it relates to entrepreneurship education in a grounded and holistic sense, recognizing both the range of stakeholders involved in the design, delivery and experience of entrepreneurship education and the underlying complexity of the issue at hand. Two World Café events, a method designed to elicit grounded knowledge, were organized to seek insights from a diverse range of stakeholders. Results confirm and illustrate the complex nature of effectiveness in entrepreneurship education. The purpose of specific educational initiatives, diverse audiences’ expectations and contextual factors must be considered in any meaningful attempt at identifying effectiveness. Findings also revealed a consensus that effectiveness relates to creating a transformational process, which leads to a shift in attitudes towards entrepreneurship. This shift prepares students for careers that go beyond the launch of a new venture. The role of time lags in assessing effectiveness was also identified. We suggest an agenda for future research and practical implications
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