85 research outputs found

    Accessibility of referent information influences sentence planning : An eye-tracking study

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    Acknowledgments We thank Phoebe Ye and Gouming Martens for help with data collection for Experiment 1 and 2, respectively. This research was supported by the European Research Council for the ERC Starting Grant (206198) to YC.Peer reviewedPublisher PD

    Neural correlates of spoken word production in semantic and phonological blocked cyclic naming.

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    Acknowledgement: We thank Frank Mertz for help with the Matlab script. We thank Elly Dutton for proofreading this manuscript. Funding: This work was supported by grants from ā€œTalent & Training China-Netherlandsā€ programme.Peer reviewedPublisher PD

    Fault detection and diagnosis of rotating machinery using modified particle filter

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    In order to effectively monitor condition and detect fault types of high nonlinear system, and extract the features of system state under strong noise background, this paper proposes a novel fault detection and diagnosis (FDD) method based on modified particle filter (PF). The artificial neural network is incorporated in PF for adaptively adjusting weight of particle. In the modified PF, the large weight particles are split into several small weight particles, the particles with smaller weight is adjusted by using artificial neural network. By which the particles in the low probability density region are adjusted to the high probability density region, and the problem of particle leanness is solved effectively. Moreover, this paper also uses time-varying auto regressive (TVAR) and Akaike information criterion (AIC) methods to establish state space model for state estimation. Finally, the proposed method is implemented for fault diagnosis on a roller bearing. Good results are obtained, and the bearing faults, such as the outer race, the inner race and the roller element defects, have been effectively discriminated

    Identification and Validation of an Immune-Related eRNA Prognostic Signature for Hepatocellular Carcinoma

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    BackgroundEnhancer RNAs (eRNAs) are intergenic long non-coding RNAs (lncRNAs) that participate in the progression of malignancies by targeting tumor-related genes and immune checkpoints. However, the potential role of eRNAs in hepatocellular carcinoma (HCC) is unclear. In this study, we aimed to construct an immune-related eRNA prognostic model that could be used to prospectively assess the prognosis of patients with HCC.MethodsGene expression profiles of patients with HCC were downloaded from The Cancer Genome Atlas (TCGA). The eRNAs co-expressed from immune genes were identified as immune-related eRNAs. Cox regression analyses were applied in a training cohort to construct an immune-related eRNA signature (IReRS), that was subsequently used to analyze a testing cohort and combination of the two cohorts. Kaplan-Meier and receiver operating characteristic (ROC) curves were used to validate the predictive effect in the three cohorts. Gene Set Enrishment Analysis (GSEA) computation was used to identify an IReRS-related signaling pathway. A web-based cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT) computation was used to evaluate the relationship between the IReRS and infiltrating immune cells.ResultsA total of sixty-four immune-related eRNAs (IReRNAs) was identified in HCC, and 14 IReRNAs were associated with overall survival (OS). Five IReRNAs were used for constructing an immune-related eRNA signature (IReRS), which was shown to correlate with poor survival and to be an independent prognostic biomarker for HCC. The GSEA results showed that the IReRS was correlated to cancer-related and immune-related pathways. Moreover, we found that IReRS was correlated to infiltrating immune cells, including CD8+ T cells and M0 macrophages. Finally, differential expressions of the five risk IReRNAs in tumor tissues vs. adjacent normal tissues and their prognostic values were verified, in which the AL445524.1 may function as an oncogene that affects prognosis partly by regulating CD4-CLTA4 related genes.ConclusionOur results suggest that the IReRS could serve as a biomarker for predicting prognosis in patients with HCC. Additionally, it may be correlated to the tumor immune microenvironment and could also be used as a biomarker in immunotherapy for HCC

    The Role of PTHLH in Ovarian Follicle Selection, Its Transcriptional Regulation and Genetic Effects on Egg Laying Traits in Hens

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    In hens, follicle selection is an important process affecting egg laying traits. This study investigated the role of parathyroid hormone-like hormone (PTHLH) in chicken follicle selection, its transcriptional regulation and genetic effects on egg laying traits. PTHLH and its receptor PTH1R were mainly expressed in follicles of 6ā€“8 mm in diameter, exhibits differential expression pattern in the theca and granulosa cells of pre- and hierarchal follicles. PTHLH stimulates the proliferation of follicular granulosa and theca cells, the expression of StAR and CYP11A1 mRNA and the production of progesterone (P4) in pre-hierarchal follicles. Treatment with FSH increased PTHLH mRNA expression in pre-hierarchal follicular theca cells and hierarchal follicular granulosa cells. Two critical regions regulating chicken PTHLH transcription were revealed, each of which harbored a SNP: C>T (chr1: 72530014) for AP-1 and a SNP: A>G (chr1: 72531676). Hens with diplotype AC/GT were younger at first laying and laid more eggs at 32 weeks. The haplotype (G-1827T-165) with double mutations had the greatest promoter activity of chicken PTHLH transcription. Collectively, PTHLH plays an important role in chicken follicle selection by stimulating cell proliferation and steroidogenesis. Polymorphisms in chicken PTHLH promoter region are associated with egg laying traits by affecting the binding of transcription factor AP-1

    Interlingual two-to-one mapping of tonal categories

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    Both Standard Chinese (SC) high- and low-rising tones sound like the rising tone in Jinan Mandarin (JM) Chinese. Acoustically (Experiment 1), the JM rising tone overlaps with both SC rising tones, but more with the high-rising tone than with the low-rising tone. Perceptually (Experiment 2), the JM rising tone was more likely identified as the SC high-rising tone by SC monolinguals, as shown in Experiments 1 and 2. Experiment 3 examined the role of this two-to-one interlingual tonal mapping in bilingual lexical access. Final high-rising SC pseudo-words were more frequently and more quickly accepted as JM real words than final low-rising SC pseudo-words were. However, both high- and low-rising SC pseudo-words triggered equivalent facilitatory semantic priming on JM real-word targets. The results suggest that different tones are represented in the bilingualsā€™ mental lexicon in terms of fine-grained and sometimes overlapping acoustic specification. Lexical activation and semantic activation are partially independent.Theoretical and Experimental Linguistic
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