8 research outputs found

    Current Discourse Space in Sino-American Economic News on “The Belt and Road”

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    To unveil the covert relation between cognitive perceptions and language use, and to probe into the cognitive mechanism revealed by news discourses, the authors set out to analyze the economic news semantically and textually, in an attempt to grasp a preliminary picture of different cognitive patterns of the Chinese and Americans on “The Belt and Road” (B&R), drawing insights on how people from different cultural backgrounds interpret B&R and its promotion, based on the current discourse space (CDS) analysis. The findings show that the variation of CDS frame applied in both Chinese and American news reports exists in dynamic linguistic representations, which sheds light on the substantial roles that mass media plays in affecting news readers’ perceiving manners or cognitive patterns. The authors emphatically claim that the promotion of B&R still has a long way to go until it reaches the highland of positive and objective social cognitive perceptions embedded in people from various backgrounds. This research provides evidences to identify interdependencies between particular CDS models that allow inferences about the CDS frames of a certain situation evoked by the news agencies and their discourse writers from different cultural backgrounds and from different political stances

    “Reporting or Interpreting?”—A Discoursal Study of Broadcasts on NBA Games in China

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    From the perspective of empirical discourse analysis, this paper identifies the site broadcasters’ roles and cognitive blending process in NBA (National Basketball Association) broadcasts in China. The authors find that NBA broadcasters chiefly interpret the information they have obtained from sports sites and interviews with the coaches and players, employing various interpreting strategies, such as commentary, amplification, supplementation and restructure. Cognitively, the language that NBA broadcasters applied reveals their cognitive blending process of interpreting techniques, strategies, sports knowledge and attitudes towards the games, of who take up different roles to fulfill different communicating purposes, all of which project various cognitions on NBA games. Despite the fact that one role might make certain linguistic behaviors prevail over the others, especially their interpreting role, NBA site broadcasters coordinate it with other roles properly through which they present different levels of translational and constructional schematicity, thus yielding a coherent and constructional working mode of NBA broadcasting practice in China

    A Schematic Discoursal Study of Chinese Football Players’ Commercial Transfer News

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    This cognitive discoursal study explores human cognitive mechanisms by analyzing Football Players’ Commercial Transfer News (FPCTN) through adopting Gibbs’ (2010) embodied view of image schemas in language use and their interpretations in Chinese sports contexts, based on the database of 36 pieces of news reports collected from authoritative sports websites. The results demonstrate that FPCTN writers actively construct their meanings and perspectives by applying various metaphysical and metaphysicalized forms of image schemas, which are grounded on our knowledge and daily bodily experience. Discourse consumers, on the other hand, unconsciously engage themselves in imaginative simulation processes, which are fundamentally embodied in their past and present bodily experiences, to facilitate their understanding of linguistic information and writers’ intentions, which predicates the process of public general cognition construction and frame, meanwhile, constituting the mechanism of a news reader’s passionate identification with and attachment to a potential commodity in his/her social and entertainment life

    Linearized Relative Positional Encoding

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    Relative positional encoding is widely used in vanilla and linear transformers to represent positional information. However, existing encoding methods of a vanilla transformer are not always directly applicable to a linear transformer, because the latter requires a decomposition of the query and key representations into separate kernel functions. Nevertheless, principles for designing encoding methods suitable for linear transformers remain understudied. In this work, we put together a variety of existing linear relative positional encoding approaches under a canonical form and further propose a family of linear relative positional encoding algorithms via unitary transformation. Our formulation leads to a principled framework that can be used to develop new relative positional encoding methods that preserve linear space-time complexity. Equipped with different models, the proposed linearized relative positional encoding (LRPE) family derives effective encoding for various applications. Experiments show that compared with existing methods, LRPE achieves state-of-the-art performance in language modeling, text classification, and image classification. Meanwhile, it emphasizes a general paradigm for designing broadly more relative positional encoding methods that are applicable to linear transformers. The code is available at https://github.com/OpenNLPLab/Lrpe.Comment: Reviewed by TMLR, decision pending. Yiran Zhong is the corresponding author. Code is available at https://github.com/OpenNLPLab/Lrp

    Genome-wide analysis and comparison of the DNA-binding one zinc finger gene family in diploid and tetraploid cotton (Gossypium).

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    The Dof (DNA-binding one zinc finger) transcription factor family is a representative of plant-specific classes of transcription factors. In this study, we performed a genome-wide screening and characterization of the Dof gene family within two tetraploid species Gossypium barbadense, Gossypium hirsutum, and two diploid species Gossypium arboreum, Gossypium raimondii. 115, 116, 55 and 56 Dof genes were identified respectively and all of the genes contain a sequence encoding the Dof DNA-binding domain. Those genes were unevenly distributed across 13/26 chromosomes of the cotton. Genome comparison revealed that segmental duplication may have played crucial roles in the expansion of the cotton Dof gene family, and tandem duplication also played a minor role. Analysis of RNA-Seq data indicated that cotton Dof gene expression levels varied across different tissues and in response to different abiotic stress. Overall, our results could provide valuable information for better understanding the evolution of cotton Dof genes, and lays a foundation for future investigation in cotton

    Electrochemical carbon–carbon coupling with enhanced activity and racemate stereoselectivity by microenvironment regulation

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    Abstract Enzymes are characteristic of catalytic efficiency and specificity by maneuvering multiple components in concert at a confined nanoscale space. However, achieving such a configuration in artificial catalysts remains challenging. Herein, we report a microenvironment regulation strategy by modifying carbon paper with hexadecyltrimethylammonium cations, delivering electrochemical carbon–carbon coupling of benzaldehyde with enhanced activity and racemate stereoselectivity. The modified electrode–electrolyte interface creates an optimal microenvironment for electrocatalysis—it engenders dipolar interaction with the reaction intermediate, giving a 2.2-fold higher reaction rate (from 0.13 to 0.28 mmol h−1 cm−2); Moreover, it repels interfacial water and modulates the conformational specificity of reaction intermediate by facilitating intermolecular hydrogen bonding, affording 2.5-fold higher diastereomeric ratio of racemate to mesomer (from 0.73 to 1.82). We expect that the microenvironment regulation strategy will lead to the advanced design of electrode–electrolyte interface for enhanced activity and (stereo)selectivity that mimics enzymes

    Mechanism exploration and biomarker identification of glycemic deterioration in patients with diseases of the exocrine pancreas

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    Abstract The damage to the endocrine pancreas among patients with diseases of the exocrine pancreas (DP) leads to reduced glycemic deterioration, ultimately resulting in diabetes of the exocrine pancreas (DEP). The present research aims to investigate the mechanism responsible for glycemic deterioration in DP patients, and to identify useful biomarkers, with the ultimate goal of enhancing clinical practice awareness. Gene expression profiles of patients with DP in this study were acquired from the Gene Expression Omnibus database. The original study defines DP patients to belong in one of three categories: non-diabetic (ND), impaired glucose tolerance (IGT) and DEP, which correspond to normoglycemia, early and late glycemic deterioration, respectively. After ensuring quality control, the discovery cohort included 8 ND, 20 IGT, and 12 DEP, while the validation cohort included 27 ND, 15 IGT, and 20 DEP. Gene set enrichment analysis (GSEA) employed differentially expressed genes (DEGs), while immunocyte infiltration was determined using single sample gene set enrichment analysis (ssGSEA). Additionally, correlation analysis was conducted to establish the link between clinical characteristics and immunocyte infiltration. The least absolute shrinkage and selection operator regression and random forest combined to identify biomarkers indicating glycemic deterioration in DP patients. These biomarkers were further validated through independent cohorts and animal experiments. With glycemic deterioration, biological processes in the pancreatic islets such as nutrient metabolism and complex immune responses are disrupted in DP patients. The expression of ACOT4, B2M, and ACKR2 was upregulated, whereas the expression of CACNA1F was downregulated. Immunocyte infiltration in the islet microenvironment showed a significant positive correlation with the age, body mass index (BMI), HbA1c and glycemia at the 2-h of patients. It was a crucial factor in glycemic deterioration. Additionally, B2M demonstrated a significant positive correlation with immunocyte infiltration and clinical features. Quantitative real-time PCR (qRT-PCR) and western blotting confirmed the upregulation in B2M. Immunofluorescent staining suggested the alteration of B2M was mainly in the alpha cells and beta cells. Overall, the study showed that gradually increased immunocyte infiltration was a significant contributor to glycemic deterioration in patients with DP, and it also highlighted B2M as a biomarker
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