743 research outputs found

    A protocol of potential advantage in the low frequency range to gravitational wave detection with space based optical atomic clocks

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    A recent proposal describes space based gravitational wave (GW) detection with optical lattice atomic clocks [Kolkowitz et. al., Phys. Rev. D 94, 124043 (2016)] [1]. Based on their setup, we propose a new measurement method for gravitational wave detection in low frequency with optical lattice atomic clocks. In our method, n successive Doppler signals are collected and the summation for all these signals is made to improve the sensitivity of the low-frequency GW detection. In particular, the improvement is adjustable by the number of Doppler signals, which is equivalent to that the length between two atomic clocks is increased. Thus, the same sensitivity can be reached but with shorter distance, even though the acceleration noises lead to failing to achieve the anticipated improvement below the inflection point of frequency which is determined by the quantum projection noise. Our result is timely for the ongoing development of space-born observatories aimed at studying physical and astrophysical effects associated with low-frequency GW

    The life cycle of authenticity: neo-nomadic tourism culture in Kazakhstan

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    The paper presents the findings related to the stages of life cycle of authenticity where Kazakhstani nomadic culture in a post-Soviet heritage evolves towards tourist consumption. Using a qualitative case-study research approach, the analysis of data traces stakeholders’ perception of authenticity of various elements of Kazakhstani cultural tourism. The study intertwines inextricably with the processes of authenticity, commodification and cultural change as Kazakhstani traditions have evolved to a neo-nomadic tourism culture where authenticity becomes a currency at play and a point of differentiation from other tourism destinations. The findings offer an original approach to understand the transformation of authenticity at various stages of Kazakhstani tourism development and explore how authenticity is positioned in the influx of tourists and supporting roles from local governments and organisations

    Organizational study on multi-discipline based engineering education in China

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    AbstractThere are many evidences to show that engineering education should be built on the base of multi disciplines, including technological and non-technological ones, in order to help its graduates work with cross disciplinary engineering issues in multi cultural circumstance. Therefore, if an engineering programme is supported by a number of different disciplines, the benefit to engineering education would be found not only in the integration from multi disciplinary academic resources, but also in quality and efficiency improvement. In order to facilitate the proposed multi discipline supported engineering education, a two dimensional model of academic organizations for higher engineering education is developed in this paper. Academic organizations in higher engineering education institutions are cataloged into two types which stand for real and virtual dimensions respectively in the model. All the academic organizations built based on different disciplines, such as faculties, departments, or schools are considered real organizations while all the programmes which integrate different academic resources from different disciplines are supposed to be virtual organizations. The study finds that with this model it is easy to support teaching for the new challengers of higher engineering education. Also, the study shows that the model will facilitate the quick response to the needs in society and the integration of different academic resources for teaching

    Knowledge-based Query Expansion in Real-Time Microblog Search

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    Since the length of microblog texts, such as tweets, is strictly limited to 140 characters, traditional Information Retrieval techniques suffer from the vocabulary mismatch problem severely and cannot yield good performance in the context of microblogosphere. To address this critical challenge, in this paper, we propose a new language modeling approach for microblog retrieval by inferring various types of context information. In particular, we expand the query using knowledge terms derived from Freebase so that the expanded one can better reflect users' search intent. Besides, in order to further satisfy users' real-time information need, we incorporate temporal evidences into the expansion method, which can boost recent tweets in the retrieval results with respect to a given topic. Experimental results on two official TREC Twitter corpora demonstrate the significant superiority of our approach over baseline methods.Comment: 9 pages, 9 figure
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