HMS-PAU-IN: A heterogeneous multi-scale spatiotemporal interaction network model for population analysis units by Xiaorui Yang, Rui Li, Jing Xia, Junhao Wang, Hongyan Li, Nixiao Zou

“…However, existing networks are constrained by fixed scales and the absence of temporal dynamics, with insufficient consideration of multi-scale features, thereby limiting their semantic representation and dynamic analysis capabilities. …”
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Precedent phenomena in online blog posts by Drevoten, Ekaterina Александровна

“…Precedent units, possessing the features of recognition, evaluativeness, expressivity, hypertextuality, expand and deepen the semantic content of the genre under study, contribute to the realization of the main task of the online post – attracting and retaining the attention of the audience – and serve as one of the important means of textual organization of this genre. …”
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Syntax of Native Advertising Publications in Glossy Periodicals by O. A. Selemeneva

“…The novelty of the study is associated with the allocation, systematization and description of the main features of native publications: the functioning of bisubstantive sentences, question-answer complexes, connecting structures, definite personal one-part sentences with predicate verbs of the 1st and 2nd person singular; the use of bifunctional exclamation sentences, simple sentences, complicated by inserted constructions and introductory-modal words; the use of non-union complex sentences with explanatory semantic relations, complex sentences with explanatory-object and intrinsic-attributive clauses; introduction of various explicit intertextual units, etc. …”
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Two-Stem Anthroponyms in Name List of Texts of 15^th-17^th Centuries by I. A. Kyurshunova

“…They are marked by their social and genetic heterogeneity. Semantic and motivational features of words, cultural and historical information within them, anthropocentric potential are characterized. …”
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Adapter With Textual Knowledge Graph for Zero-Shot Sketch-Based Image Retrieval by Jie Zhang, Jiali Tang

“…This method treats category semantic information and visual features as nodes, computing their edges using cosine similarity. …”
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Research on the Decoding and Innovative Design Framework of the Chinese Song Brocade Eight-Treasures Halo Pattern (Badayun Pattern) Based on Gene Theory by Chenlu Wang, Tianchen Mei, Chen Yang, Yibei Xie, Hongbo Wang

“…Key visual features and semantic meanings are extracted as the basis for redesign. …”
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Neural responses to perceptual and sexual ambiguity in facial images: an ERP and time–frequency analysis by Takanori Sano, Hideaki Kawabata

“…Additionally, late posterior potential amplitude increased under conditions of explicit perceptual and sexual faces, which confirmed that ease of interpretation in sexual dimorphism judgments influenced neural responses. …”
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Formal Logical Modeling of Impersonal Sentences in the English Language by V. N. Malysheva, E. V. Kurganskaia, G. A. Demin

“…In cases with desemantised pronoun it or desemantised adverb there the term “impersonal construction” is only reasonable in a semantic sense, but not in a grammar one. Grammar-wise the singular third person is set in all cases – through an explicit or implicit substantive semifinitive and a space specifier. …”
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Image Inpainting Algorithm Based on Structure-Guided Generative Adversarial Network by Li Zhao, Tongyang Zhu, Chuang Wang, Feng Tian, Hongge Yao

“…To address the challenges of image inpainting in scenarios with extensive or irregular missing regions—particularly detail oversmoothing, structural ambiguity, and textural incoherence—this paper proposes an Image Structure-Guided (ISG) framework that hierarchically integrates structural priors with semantic-aware texture synthesis. The proposed methodology advances a two-stage restoration paradigm: (1) Structural Prior Extraction, where adaptive edge detection algorithms identify residual contours in corrupted regions, and a transformer-enhanced network reconstructs globally consistent structural maps through contextual feature propagation; (2) Structure-Constrained Texture Synthesis, wherein a multi-scale generator with hybrid dilated convolutions and channel attention mechanisms iteratively refines high-fidelity textures under explicit structural guidance. …”
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“THE SONG REMAINS THE SAME”: MYKOLA KHVYLOVYІ’S NON-CLASSIC SHORT STORIES AND THE CANONIC WRITER’S STYLE by Євгеній Лепьохін

“…A renewed emphasis is placed on the relevance of the colour blue in the writer’s works as one of the means of creating a stylistic contrast between the explicit context and the overtones that lie beneath it. …”
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LANGUAGE MEANS OF INTERTEXT EXPRESSION IN THE HISTORICAL NOVEL “MALLOWS” BY ROMAN IVANYCHUK by Oksana M. Nazarenko, Olena V. Skalatska

“…The orientation of the work requires the use of the following methods: descriptive and the method of observation, with the help of which the specifics and means of realizing the intertext in the historical novel are analyzed; analysis and synthesis – for systematization and generalization of research materials; the method of transformational analysis – to identify formal and semantic changes in the recipient text; the method of linguo-stylistic analysis – for the study of linguistic means of expression in the structure of an artistic text from a functional-aesthetic point of view; the method of stylistic analysis – to determine the stylistics of the intertext and the analysis of various stylistic passages found in the historical novel; the method of contextual-interpretative analysis – to clarify the functional load of the means of implementing intertextuality, in particular for the analysis of content categories of the text; elements of componential analysis – to establish the semantic features of relevant components of historical prose; the method of quantitative calculations – to identify the frequency of use of intertextual elements in the work. …”
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Two-dimensional spatial orientation relation recognition between image objects by Gong Peiyong, Zheng Kai, Jiang Yi, Zhao Huixuan, Huai Honghao, Guan Ruijie

“…Recent advances in computer vision have concentrated on comprehension of the semantic features of images, particularly the spatial relations between objects—a fundamental semantic feature of visual scene understanding. …”
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RobustQuote: Using Reference Images for Adversarial Robustness by Hugo Lemarchant, Hong Liu, Yuta Nakashima

“…The core idea is to leverage trusted reference images drawn from a dynamically changing pool unknown to the attacker as contextual anchors to detect and correct adversarial perturbations in input images. By quoting semantic features from uncorrupted references, RobustQuote mitigates the propagation of corrupted features through the model and uses these references to compute the rectification term. …”
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Reading English-language haiku: An eye-movement study of the ‘cut effect’ by Thomas Geyer, Franziska Günther, Hermann J Müller, Jim Kacian, Heinrich René Liesefeld, Stella Pierides

“…The current study, set within the larger enterprise of Neuro-Cognitive Poetics, was designed to examine how readers deal with the ‘cut’ – a more or less sharp semantic-conceptual break – in normative, three-line English-language haiku poems (ELH). …”
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Language model-enhanced edge factor mining in citation network by WANG Minmao, ZHAO Hongke, WU Likang, JIAO Zhixian, HUANG Zhenya

“…Coarse-grained factor mining extracted explicit category-related edge factors from citation network graphs containing documents by designing structured information prompts for LLM. …”
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Language model-enhanced edge factor mining in citation network by WANG Minmao, ZHAO Hongke, WU Likang, JIAO Zhixian, HUANG Zhenya

“…Coarse-grained factor mining extracted explicit category-related edge factors from citation network graphs containing documents by designing structured information prompts for LLM. …”
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Design of Realistic and Artistically Expressive 3D Facial Models for Film AIGC: A Cross-Modal Framework Integrating Audience Perception Evaluation by Yihuan Tian, Xinyang Li, Zuling Cheng, Yang Huang, Tao Yu

“…To address this, this study proposes a cross-modal 3D face generation framework based on single-view semantic masks. It utilizes Swin Transformer for multi-level feature extraction and combines with NeRF for illumination decoupled rendering. …”
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MULTIMODAL UKRAINIAN BRAND NARRATIVE: SEMIOTICS, STRUCTURE, ARCHETYPES by Nataliia K. Kravchenko, Liudmyla O. Shanaieva-Tsymbal

“…The slogan and the brand name include explicit references to the source intertext based on the song. …”
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A Drug-Target Interaction Prediction Method Based on Attention Perception and Modality Fusion by PENG Yang, ZHU Xiaofei, HU Dongdong

“…The existing prediction methods based on graph neural networks have achieved good results, but there are still two challenges: first, how to extract the deep features and rich semantic information in drugs and targets more efficiently; and second, how to explicitly model and learn the interactions between drugs and targets for better prediction and interpretation. …”
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BCTDNet: Building Change-Type Detection Networks with the Segment Anything Model in Remote Sensing Images by Wei Zhang, Jinsong Li, Shuaipeng Wang, Jianhua Wan

“…We first construct a dual-feature interaction encoder that employs SAM to extract image features, which are then refined through trainable multi-scale adapters for learning architectural structures and semantic patterns. …”
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