1,112 research outputs found

    MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts

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    Event detection (ED) identifies and classifies event triggers from unstructured texts, serving as a fundamental task for information extraction. Despite the remarkable progress achieved in the past several years, most research efforts focus on detecting events from formal texts (e.g., news articles, Wikipedia documents, financial announcements). Moreover, the texts in each dataset are either from a single source or multiple yet relatively homogeneous sources. With massive amounts of user-generated text accumulating on the Web and inside enterprises, identifying meaningful events in these informal texts, usually from multiple heterogeneous sources, has become a problem of significant practical value. As a pioneering exploration that expands event detection to the scenarios involving informal and heterogeneous texts, we propose a new large-scale Chinese event detection dataset based on user reviews, text conversations, and phone conversations in a leading e-commerce platform for food service. We carefully investigate the proposed dataset's textual informality and multi-source heterogeneity characteristics by inspecting data samples quantitatively and qualitatively. Extensive experiments with state-of-the-art event detection methods verify the unique challenges posed by these characteristics, indicating that multi-source informal event detection remains an open problem and requires further efforts. Our benchmark and code are released at \url{https://github.com/myeclipse/MUSIED}.Comment: Accepted at EMNLP 202

    Effects of a particular heptapeptide on the IFN-α-sensitive CML cells

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    Abstract: Using the phage display biopanning technique, we have previously identified a heptapeptide KLWVIPQ which specifically bind to the surface of the IFN-α sensitive but not the IFN-α-resistant CML cells. The effects of this heptapeptide to the IFN-α-sensitive CML cells were investigated in the present study. IFN-α-sensitive KT-1/A3 and IFN-α-resistant KT-1/A3R CML cells were transfected by pEGFP KLWVIPQ expression vector and/or induced by IFN-α. WST-1 cell proliferation assay, flow cytometry and western blotting were performed to determine the effects of this heptapeptide and/or IFN-α on CML cells. The viability of the KT-1/A3 cells w as inhibited and apoptosis was induced by either expression of the heptapeptide KLWVIPQ or IFN-α treatment with concurrent up-regulation of P53 and down-regulation of P210bcr/abl. However, these effects were not observed in the IFN-α-resistant KT-1/A3R cells. These results suggest that the heptapeptide KLWVIPQ shares a similar mechanism w ith IFN-α in the regulat ion of CML cell growth and apoptosis, implying that the heptapeptide KLWVIPQ could be a novel target to go further into mechanisms of IFN-α sensitivity and/or resistance in CML

    Non-coding RNAs participate in the regulatory network of CLDN4 via ceRNA mediated miRNA evasion

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    AbstractThousands of genes have been well demonstrated to play important roles in cancer progression. As genes do not function in isolation, they can be grouped into “networks” based on their interactions. In this study, we discover a network regulating Claudin-4 in gastric cancer. We observe that Claudin-4 is up-regulated in gastric cancer and is associated with poor prognosis. Claudin-4 reinforce proliferation, invasion, and EMT in AGS, HGC-27, and SGC-7901 cells, which could be reversed by miR-596 and miR-3620-3p. In addition, lncRNA-KRTAP5-AS1 and lncRNA-TUBB2A could act as competing endogenous RNAs to affect the function of Claudin-4. Our results suggest that non-coding RNAs play important roles in the regulatory network of Claudin-4. As such, non-coding RNAs should be considered as potential biomarkers and therapeutic targets against gastric cancer.</jats:p

    Theoretical Corrections of RDR_D and RDR_{D^*}

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    RD()R_{D^{(*)}} is the ratio of branching ratio BD()τντ\overline{B} \rightarrow D^{(*)}\tau\overline{\nu}_{\tau} to BD()lνl\overline{B} \rightarrow D^{(*)}l\overline{\nu}_{l}. There is a gap of 2σexp2\sigma_{exp} or more between its experimental value and the prediction under the standard model(SM). People extend the MSSM with the local gauge group U(1)XU(1)_X to obtain the U(1)XU(1)_XSSM. Compared with MSSM, U(1)XU(1)_XSSM has more superfields and effects. In U(1)XU(1)_XSSM, we research the decays BD()lνl\overline{B} \rightarrow D^{(*)}l\overline{\nu}_{l} and calculate RD()R_{D^{(*)}}. The obtained numerical results of RD()R_{D^{(*)}} are further corrected under U(1)XU(1)_XSSM, which is much better than the SM predictions. After correction, the theoretical value of RD()R_{D^{(*)}} can reach in one σexp\sigma_{exp} range of the averaged experiment central value

    Increasing Resistance to Azithromycin in Neisseria gonorrhoeae in Eastern Chinese Cities: Resistance Mechanisms and Genetic Diversity among Isolates from Nanjing

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    Azithromycin resistance (AZM-R) of Neisseria gonorrhoeae is emerging as a clinical and public health challenge. We determined molecular characteristics of recent AZM-R Nanjing gonococcal isolates and tracked the emergence of AZM-R isolates in eastern Chinese cities in recent years. A total of 384 N. gonorrhoeae isolates from Nanjing collected from 2013 to 2014 were tested for susceptibility to AZM and six additional antibiotics; all AZM-R strains were characterized genetically for resistance determinants by sequencing and were genotyped using N. gonorrhoeae multiantigen sequence typing (NG-MAST). Among the 384 isolates, 124 (32.3%) were AZM-R. High-level resistance (MIC, \u3e /=256 mg/liter) was present in 10.4% (40/384) of isolates, all of which possessed the A2143G mutation in all four 23S rRNA alleles. Low- to mid-level resistance (MIC, 1 to 64 mg/liter) was present in 21.9% (84/384) of isolates, 59.5% of which possessed the C2599T mutation in all four 23S rRNA alleles. The 124 AZM-R isolates were distributed in 71 different NG-MAST sequence types (STs). ST1866 was the most prevalent type in high-level AZM-R (HL-AZM-R) isolates (45% [18/40]). This study, together with previous reports, revealed that the prevalence of AZM-R in N. gonorrhoeae isolates in certain eastern Chinese cities has risen \u3e 4-fold (7% to 32%) from 2008 to 2014. The principal mechanisms of AZM resistance in recent Nanjing isolates were A2143G mutations (high-level resistance) and C2599T mutations (low- to mid-level resistance) in the 23S rRNA alleles. Characterization of NG-MAST STs and phylogenetic analysis indicated the genetic diversity of N. gonorrhoeae in Nanjing; however, ST1866 was the dominant genotype associated with HL-AZM-R isolates

    Which is better for gastric cancer patients, perioperative or adjuvant chemotherapy: a meta-analysis

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    meta-analysis of chemotherapy adverse effects. (A) Nausea and vomit, (B) gastrointestinal problem, (C) liver toxicity, (D) neurologic effects, (E) leukopenia, (F) thrombocytopenia, (G) neutropenia. (TIF 507 kb
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