119,804 research outputs found

    Phosphorylation of EZH2 by AMPK Suppresses PRC2 Methyltransferase Activity and Oncogenic Function-Wan-Original Scan

    No full text
    The original western blot scans for the following manuscript: Wan L, Xu K, Wei Y, Zhang J, Han T, Fry C, Zhang Z, Wang YV, Huang L, Yuan M, Xia W, Chang WC, Huang WC, Liu CL, Chang YC, Liu J, Wu Y, Jin VX, Dai X, Guo J, Liu J, Jiang S, Li J, Asara JM, Brown M, Hung MC, Wei W. Phosphorylation of EZH2 by AMPK Suppresses PRC2 Methyltransferase Activity and Oncogenic Function. Mol Cell. 2018 Jan 18;69(2):279-291.e5. doi: 10.1016/j.molcel.2017.12.024. PubMed PMID: 29351847; PubMed Central PMCID: PMC5777296

    Phosphorylation of EZH2 by AMPK Suppresses PRC2 Methyltransferase Activity and Oncogenic Function-Wan-Original Scan

    No full text
    The original western blot scans for the following manuscript: Wan L, Xu K, Wei Y, Zhang J, Han T, Fry C, Zhang Z, Wang YV, Huang L, Yuan M, Xia W, Chang WC, Huang WC, Liu CL, Chang YC, Liu J, Wu Y, Jin VX, Dai X, Guo J, Liu J, Jiang S, Li J, Asara JM, Brown M, Hung MC, Wei W. Phosphorylation of EZH2 by AMPK Suppresses PRC2 Methyltransferase Activity and Oncogenic Function. Mol Cell. 2018 Jan 18;69(2):279-291.e5. doi: 10.1016/j.molcel.2017.12.024. PubMed PMID: 29351847; PubMed Central PMCID: PMC5777296

    Joshua Davis: Author of Spare Parts

    Get PDF
    Citation: K-State First (2016). Joshua Davis: Author of Spare Parts [Flier]. Manhattan, Kansas: K-State First.Flyer advertising Joshua Davis's author talk at Kansas State University

    Agnes Wan, piano, [Sept. 25, 2009]

    No full text
    Agnes Wan, pianoRecorded Sept. 25, 2009, in Ingram Hall, Vanderbilt University, Nashville, Tenn.Sonata in E, K. 531 ; Sonata in A, K. 113 / Domenico Scarlatti -- Arabesque, op. 18 / Robert Schumann -- Toccata in E minor, BWV 914 / Johann Sebastian Bach -- The seasons. September : The hunt ; October : Autumn song / Pyotr Tchaikovsky -- [Intermission] -- French suite no. 5 in G, BWV 816 / Johann Sebastian Bach -- Three Chinese paintings for solo piano / Pui-Shan Cheung -- Sonata in A, D. 664 / Franz Schubert -- [Encores]Blair School of Musi

    Steven Johnson Author Talk Poster

    No full text
    K-State Book NetworkA poster advertising an author talk by Steven Johnson at Kansas State University on September 3, 2014. Steven Johnson's book "The Ghost Map" was the 2014-2015 common book

    Chinese literary works translated into Baba Malay: a bibliographical study

    Get PDF
    Analyses 68 unique titles of Baba translated works published between 1889 and 1950. The titles are held in the libraries of the University of Malaya (UM), Science University Malaysia (USM), National University of Malaysia (UKM), the Dewan Bahasa dan Pustaka (DBP), National University of Singapore (NUS), National Library of Singapore (NLS) and the British Library (BL). The results reveal three periods of active publication of Baba translated works. A total of 18 works were translated before World War I, followed by 10 just after the war, 39 titles were published before the break of the World War II and 1 was identified in 1950. There were 103 persons involved in the 68 translated works, some of whom are responsible for more than one title. The most prominent translators were Chan Kim Boon, Wan Boon Seng, Seow Chin San and Lee Seng Poh. Some of the translators were also be editors, illustrators or editors. There were 31 publishers and 21 printing presses involved, all were located in Singapore. The most active publishers were Wan Boon Seng, Kim Seck Chy Press and Nanyang Romanised Malay Book Co. The translated works mainly cover historical classical Chinese stories, chivalrous stories, romances, folklore and legends. The titles were priced between 10 cents to 2 dollars in Straits currency. The University of Malaya Library held the largest number of unique title (62) out of which 15 were unique titles

    Wan, K M

    No full text

    A K-partitioning algorithm for clustering large-scale spatio-textual data

    No full text
    The volume of spatio-textual data is drastically increasing in these days, and this makes more and more essential to process such a large-scale spatio-textual dataset. Even though numerous works have been studied for answering various kinds of spatio-textual queries, the analyzing method for spatio-textual data has rarely been considered so far. Motivated by this, this paper proposes a k-means based clustering algorithm specialized for a massive spatio-textual data. One of the strong points of the k-means algorithm lies in its efficiency and scalability, implying that it is appropriate for a large-scale data. However, it is challenging to apply the normal k-means algorithm to spatio-textual data, since each spatio-textual object has non-numeric attributes, that is, textual dimension, as well as numeric attributes, that is, spatial dimension. We address this problem by using the expected distance between a random pair of objects rather than constructing actual centroid of each cluster. Based on our experimental results, we show that the clustering quality of our algorithm is comparable to those of other k-partitioning algorithms that can process spatio-textual data, and its efficiency is superior to those competitors.

    Finding k-highest betweenness centrality vertices in graphs

    No full text
    The betweenness centrality is a measure for the relative participation of the vertex in the shortest paths in the graph. In many cases, we are interested in the k-highest betweenness centrality vertices only rather than all the vertices in a graph. In this paper, we study an efficient algorithm for finding the exact k-highest betweenness centrality vertices

    On the theorem of wan for K-quasiconformal hyperbolic harmonic self mappings of the unit disk

    No full text
    We give a new glance to the theorem of Wan (Theorem 1.1) which is related to the hyperbolic bi-Lipschicity of the K-quasiconformal, K ≥ 1, hyperbolic harmonic mappings of the unit disk D onto itself. Especially, if f is such a mapping and f(0) = 0, we obtained that the following double inequality is valid 2│z│=(K + 1) ≤ │f(z)│ ≤ √ K│z│, whenever z _ D
    corecore