934 research outputs found

    Guan yu gong ren he gong si jin rong de yan jiu

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    Shen, Beibei.Thesis Ph.D. Chinese University of Hong Kong 2015.Includes bibliographical references.Abstracts also in Chinese.Title from PDF title page (viewed on 02, November, 2016).Shen, Beibei

    sj-pdf-1-ajs-10.1177_03635465211068854 – Supplemental material for Advantages of 3–dimensional Measurements for Supraspinatus Intramuscular Fatty Evaluation in Patients With Medium to Massive Rotator Cuff Tears: Comparison With a Single Sagittal Slice

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    Supplemental material, sj-pdf-1-ajs-10.1177_03635465211068854 for Advantages of 3–dimensional Measurements for Supraspinatus Intramuscular Fatty Evaluation in Patients With Medium to Massive Rotator Cuff Tears: Comparison With a Single Sagittal Slice by Beibei Liu, Junjie Xu, Yuchen Jin, Wei Su, Xiuyuan Zhang, Yi Qiao, Weibin Yu, Lude Cheng, Jinzhong Zhao and Yuehua Li in The American Journal of Sports Medicine</p

    sj-pdf-1-imr-10.1177_03000605221094644 - Supplemental material for Associations between bone mineral density and chronic obstructive pulmonary disease

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    Supplemental material, sj-pdf-1-imr-10.1177_03000605221094644 for Associations between bone mineral density and chronic obstructive pulmonary disease by Xiaodiao Zhang, Keke Ding, Xiaqi Miao, Jianing Wang, Binbin Hu, Jiamin Shen, Xueting Hu, Yage Xu, Beibei Yu, Tingting Tu, Aiju Lin, Xianjing Chen and Yiben Huang in Journal of International Medical Research</p

    Enhancing clustering blog documents by utilizing author/reader comments

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    Blogs are a new form of internet phenomenon and a vast everincreasing information resource. Mining blog files for information is a very new research direction in data mining. We propose to include the title, body, and comments of the blog pages in clustering datasets from blog documents. In particular, we argue that the author/reader comments of the blog pages may have more discriminating effect in clustering blog documents. We constructed a word-page matrix by downloading blog pages from a well-known website and experimented a k-means clustering algorithm with different weights assigned to the title, body, and comment parts. Our experimental results show that assigning a larger weight value to the blog comments helps the k-means algorithm produce better clustering solutions. The experimental results confirm our hypothesis that the author/reader comments of the blog files are very useful in discriminating blog files

    Question bias and biased question words in Mandarin, German and Bangla

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    Bias is a linguistic phenomenon that is primarily found in questions. Various kinds of biased questions have been studied extensively in the literature, e.g. Negative Polar Questions, Questions with Minimizers, Questions with Verum focus (Ladd 1981, Buring & Gunlogson 2000, Guerzoni 2003, Romero & Han 2004, a.o.). Aside from those biased questions, there are questions with dedicated words that can express bias (i.e. biased question words). Those words are "nandao" in Mandarin, "etwa" in German, and "naki" in Bangla. The current dissertation takes a modal approach to bias, distinct from earlier accounts of bias. In order to find out the nature of bias, e.g. how it is introduced, at which level it is interpreted, and why it is primarily found in questions, I study the three biased question words at the interface of syntax, semantics and pragmatics. Based on the analyses of the three words, I claim that bias is a not-at-issue content that is revealed via the speaker's public belief domain (i.e. Discourse commitment). Considering the phenomenon in general, I isolate three conditions for introducing bias: a preference ranking of alternatives, selection of a particular alternative as privileged, and the requirement to update the Question Under Discussion with the alternatives. Biased question words lexically satisfy all three conditions and give rise to the obligatorily biased reading of questions containing them. With these three conditions, I provide a definition for bias and explain the opening statement that "bias is a linguistic phenomenon that is primarily found in questions".Ph.D.Includes bibliographical referencesby Beibei X

    Cropland cover over the past 300 years in the Scandinavian area

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    High-resolution historical land cover datasets are essential not only for simulations of climate and environmental dynamics, but also for projections of future land use, food security, climate and biodiversity. However, widely used global datasets are developed for continental-to-global scale analysis and simulations and the accuracy of global datasets depends on the verification of more regional reconstruction results. Based on the collected statistics of cropland area of each administrative unit (Parish/County/Municipality/Province) in Scandinavia (Sweden, Norway and Denmark) from 1690 to 2015 (Time points are 1690, 1750, 1810, 1875, 1810, 1930, 1950, 1980, 1999 and 2015), the cropland area at the administrative unit level was allocated into 30-arc second grid cells

    Enhancing clustering blog documents by utilizing author/reader comments

    No full text
    Blogs are a new form of internet phenomenon and a vast ever-increasing information resource. Mining blog files for information is a very new research direction in data mining. Blog files are different from standard web files and may need specialized mining strategies. We propose to include the title, body, and comments of the blog pages in clustering datasets from blog documents. In particular, we argue that the author/reader comments of the blog pages may have more discriminating effect in clustering blog documents. We constructed a word-page matrix by downloading blog pages from a well-known website and experimented a k-means clustering algorithm with different weights assigned to the title, body, and comment parts. Our experimental results show that assigning a larger weight value to the blog comments helps the k-means algorithm produce better clustering solutions. The experimental results confirm our hypothesis that the author/reader comments of the blog files are very useful in discriminating blog files

    GRP78 protects CHO cells from ribosylation

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    D-Ribose (Rib), a reactive glycation compound that exists in organisms, abnormally increases in the urine of diabetic patients and can yield large amounts of advanced glycation end products (AGEs), leading to cell dysfunction. However, whether cellular proteins are sensitive to this type of glycation is unknown. In this study, we found that cellular AGEs accumulate in Chinese hamster ovary (CHO) cells with increased Rib concentration and administration time. Mass spectrum analysis of isolated AGE-modified proteins from cell lysates showed that glucose-regulated protein 78 kD (GRP78) is one of the main ribosylated proteins. Co-immunoprecipitation assays further confirmed the interaction between AGEs and GRP78. Compared with D-glucose (Glc), Rib produced much more AGEs in cells. In kinetic studies, the first order rate constant of LDH released from CHO cells incubated with Rib was nearly 8-fold higher than that of Glc, suggesting that Rib is highly cytotoxic. Immunofluorescent co-localization analysis manifested partial superimposition of AGEs and GRP78, which were distributed throughout the endoplasmic reticulum. Western blotting showed that the expression of GRP78 is up-regulated and then down-regulated in CHO cells during Rib treatment. In the presence of Rib, the suppression of GRP78 expression either with transfected siRNA or with the inhibitor (-)-epigallocatechin gallate (EGCG) dramatically increased AGE levels and decreased cell viability compared with these parameters in the control groups. GRP78 over-expression decreased AGE levels and rescued the cells from Rib-induced cytotoxicity. These data indicate that GRP78 plays a role in preventing Rib-induced CHO cell cytotoxicity.</p
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