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Post-war growth of higher education has attracted the interest of national governments. They are properly concerned with higher education's contribution to economic success and equity, and the efficient and effective use of public funds. They can intervene by means of legislation (which is unwieldy), exhortation (which is ineffective), or funding incentives. Funding councils must operate within a social and political context which determines the balance between planning and the market, central and local direction, public and private funding. They have only four strategies to choose from: deficiency-, formula-, contract-, and core-funding. The first was nearly fatal; the last is the preferred option for the future.
There are two issues: the merging of the two funding councils (PCFC and UFC), and the ending of the binary system. The first could produce a welcome single guiding intelligence for UK higher education, and economies of scale. The second raises the question of the funding of fundamental research. The merging of PCFC and UFC and the reorganisation of research-funding is a two-headed nettle. It must be grasped soon. 相似文献
There are two issues: the merging of the two funding councils (PCFC and UFC), and the ending of the binary system. The first could produce a welcome single guiding intelligence for UK higher education, and economies of scale. The second raises the question of the funding of fundamental research. The merging of PCFC and UFC and the reorganisation of research-funding is a two-headed nettle. It must be grasped soon. 相似文献
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Admiral Sir David Milne 《Journal of The Franklin Institute》1844,37(2):126-128
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Travis Gagie Aleksi Hartikainen Kalle Karhu Juha Kärkkäinen Gonzalo Navarro Simon J. Puglisi Jouni Sirén 《Information Retrieval》2017,20(3):253-291
Most of the fastest-growing string collections today are repetitive, that is, most of the constituent documents are similar to many others. As these collections keep growing, a key approach to handling them is to exploit their repetitiveness, which can reduce their space usage by orders of magnitude. We study the problem of indexing repetitive string collections in order to perform efficient document retrieval operations on them. Document retrieval problems are routinely solved by search engines on large natural language collections, but the techniques are less developed on generic string collections. The case of repetitive string collections is even less understood, and there are very few existing solutions. We develop two novel ideas, interleaved LCPs and precomputed document lists, that yield highly compressed indexes solving the problem of document listing (find all the documents where a string appears), top-k document retrieval (find the k documents where a string appears most often), and document counting (count the number of documents where a string appears). We also show that a classical data structure supporting the latter query becomes highly compressible on repetitive data. Finally, we show how the tools we developed can be combined to solve ranked conjunctive and disjunctive multi-term queries under the simple \({\textsf{tf}}{\textsf{-}}{\textsf{idf}}\) model of relevance. We thoroughly evaluate the resulting techniques in various real-life repetitiveness scenarios, and recommend the best choices for each case. 相似文献