133,376 research outputs found
Pook
pook nA POOK OF HAY. EXPLANATION: A pile of hay.EXPLANATION: A pile of hay.YesJ. D. A. WIDDOWSON COLLECTOR'S PERMANENT FILEUsed I and SupUsed I and Sup1Not use
POOK OF HAY
pook nThey hid behind a pook of hay. Pook of hay: haystackpook of hay: haystackYesJ. D. WIDDOWSON COLLECTOR'S PERMANENT FILE[check]Used I and SupUsed I1Used
pook (n)
pook n...their hats 'd be,you know _ had a kind o' notches,see; they kind o' stick up - little pook like that,see. (ie cone-shaped object? cf _pook_ of hay etc)YesJ. D. A. WIDDOWSON JAN 1973DNE-cit OKUsed I and SupUsed I and Sup2Used IA modified version of the slip contents is used in the DNE
POOK
pook nCONTEXT: ....you can leave it in _pook_ for the winter. MEANING: A STACK OF HAY.MEANING: A STACK OF HAY.YesDNE-citJ. D. A. WIDDOWSON COLLECTOR'S PERMANENT FILEUsed I and SupUsed I and Sup1Used IThere is an illustration on card
pook (n); pooks (n.pl.)
pook n....we'd get up .... there would be the large hay mows. We didn't call 'em mows or piles of hay. We call 'em pooks of hay.And we'd get behind the pooks o' hay an' we'd imitate the lady....YesDNE-citJ. D. A. WIDDOWSON JUL 1974Used I and SupUsed I and Sup1Used
Epigenetic-based therapies for Friedreich ataxia
This article has been made available through the Brunel Open Access Publishing Fund.Friedreich ataxia (FRDA) is a lethal autosomal recessive neurodegenerative disorder caused primarily by a homozygous GAA repeat expansion mutation within the first intron of the FXN gene, leading to inhibition of FXN transcription and thus reduced frataxin protein expression. Recent studies have shown that epigenetic marks, comprising chemical modifications of DNA and histones, are associated with FXN gene silencing. Such epigenetic marks can be reversed, making them suitable targets for epigenetic-based therapy. Furthermore, since FRDA is caused by insufficient, but functional, frataxin protein, epigenetic-based transcriptional re-activation of the FXN gene is an attractive therapeutic option. In this review we summarize our current understanding of the epigenetic basis of FXN gene silencing and we discuss current epigenetic-based FRDA therapeutic strategies. © 2014 Sandi, Sandi, Anjomani Virmouni, Al-Mahdawi and Pook
MeSH term explosion and author rank improve expert recommendations
Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
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