<b>The investigation of commonalities in human brain semantic representations across people and across languages</b><br> by Augusto Buchweitz

“…Preliminary results from a brain imaging study on cross-language thought identification are also presented. These recent findings in neuroimaging of human semantics suggest the presence of a common semantic neural representation across people and across languages.…”
Get full text

Interaction of Title and Text in Functional-Semantic Aspect (by Example of Poem in Prose “Snow” by S. N. Sergeyev-Tsensky) by V. N. Levina, Y. Liu

“…Sergeyev-Tsensky the mechanisms of the interaction of title and text in the functional-semantic aspect are revealed. It is argued that the author’s semantics encrypted in the title “Snow” is only revealed based on the analysis of the semantics of the whole text, identification of the symbolic meanings of the key lexeme snow with original landscape semantics. …”
Get full text

ES-Net Empowers Forest Disturbance Monitoring: Edge–Semantic Collaborative Network for Canopy Gap Mapping by Yutong Wang, Zhang Zhang, Jisheng Xia, Fei Zhao, Pinliang Dong

“…Aiming at overcoming the bottleneck issues of canopy gap identification in mountainous forest regions, we constructed a multi-task deep learning model (ES-Net) integrating an edge–semantic collaborative perception mechanism. …”
Get full text

Design and application of a semantic-driven geospatial modeling knowledge graph based on large language models by Jianyuan Liang, Shuyang Hou, Anqi Zhao, Qingyang Xu, Longgang Xiang, Rui Li, Huayi Wu

“…To address this, we propose S-GMKG, a knowledge graph that systematically extracts and integrates modeling processes from scripts as structured semantic units. Two strategies are introduced: a skeleton-based extraction method and a knowledge-enhanced chain of thought (CoT) approach, which facilitate automated modeling process extraction for S-GMKG via prompt engineering. …”
Get full text

Cognitive Structure of Randomness by G. I. Berestnev

“…The goal, first outlined in linguistics, the identification of deep cognitive characteristics in the structure of thought about randomness in the Russian and Indo-European linguistic mentality with the involvement of typological data is being realized. …”
Get full text

A Comparative Study of the Most Commonly Used Metaphors in Covid-19 News Texts during the Outbreak and Peak of the Disease by Mansour Nikpanah, Mansoureh Delaramifar

“…Then, the metaphors placed in the “disease” semantic frame, and their frame elements were identified. …”
Get full text

BLACK HUMOUR: ORIGIN DESCRIPTION AND AN ATTEMPT OF IDENTIFICATION by Iryna A. Blynova.

Get full text

Research on Intelligent Identification Technology for Bridge Cracks by Yumeng Su, Yunlong Song, Zhaomin Zhan, Zhuo Bi, Bang Zhou, Youling Yu, Yanting Song

“…In on-site bridge crack detection, the traditional crack identification techniques fail to meet demands due to their inefficiency, inaccuracy, and the challenges posed by high-altitude conditions. …”
Get full text

Codependency in Psychological Studies by Yu. V. Stryapukhina, S. T. Posokhova

Subjects: Get full text

Using FastText-BERT to Extract Semantic Relations and Improve Sentiment Analysis of Persian Healthcare Service Reviews by Faezeh Forootan, Raouf Khayami, Pirooz Shamsinejad

“…Therefore, to analyze these reviews accurately, it is essential to employ models and their combinations in a way that ensures reliable and valid results.Methods: To improve the efficiency and accuracy of sentiment analysis for Persian healthcare reviews, this study utilized the FastText-BERT hybrid embedding model for semantic relation extraction and the CNN-BiLSTM model for sentence-level sentiment classification.Results: The proposed framework achieved an accuracy of 86% and an F1-score of 84.99%.Conclusion: The results demonstrated that combining embedding models leverages the strengths of both approaches, enabling the identification of specialized and out-of-domain expressions and the extraction of semantic relationships between them. …”
Get full text

Pragmatic and Semantic Analysis of Anti-War Protest Utterances (on the Data of Public Opinion Discourse in the Spring of 2022 in Russia) by O. V. Dreifeld

“…The theoretical and practical significance of article is identification, description and classification types of personal speech tactics of anti-war protest discourse based on material of verbalized statements at solitary pickets in the spring of 2022 in Russia.Methodology and sources. …”
Get full text

Dynahead-YOLO-Otsu: an efficient DCNN-based landslide semantic segmentation method using remote sensing images by Zheng Han, Bangjie Fu, Zhenxiong Fang, Yange Li, Jiaying Li, Nan Jiang, Guangqi Chen

“…Recent advancements in deep convolutional neural networks (DCNNs) have significantly improved landslides identification using remote sensing images. Pixel-wise semantic segmentation (PSS) and object-oriented detection (OOD) are two dominant approaches, wherein PSS are better as providing detailed delineation of landslide shapes. …”
Get full text

Refining the Distributional Inclusion Hypothesis for Unsupervised Hypernym Identification by Ludovica Pannitto, Lavinia Salicchi, Alessandro Lenci

Get full text

Phenology-Aware Transformer for Semantic Segmentation of Non-Food Crops from Multi-Source Remote Sensing Time Series by Xiongwei Guan, Meiling Liu, Shi Cao, Jiale Jiang

“…Accurate identification of non-food crops underpins food security by clarifying land-use dynamics, promoting sustainable farming, and guiding efficient resource allocation. …”
Get full text

Developing a Dictionary Model for Balinese Speech Levels: A Study Based on Classification Principles and Semantic Feature Analysis by Nengah Arnawa, I Ketut Ngurah Sulibra, I Wayan Suardiana

“…This process facilitated the creation of a matrix for the Balinese lexical semantic differentiation and a work table for vocabulary identification within the speech level system. …”
Get full text

A computational framework for IoT security integrating deep learning-based semantic algorithms for real-time threat response by Ripal Ranpara, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-Zahrani

“…This research paper presents a hybrid deep learning and semantic reasoning framework that enhances threat intelligence and autonomous response. …”
Get full text

TCCFNet: a semantic segmentation method for mangrove remote sensing images based on two-channel cross-fusion networks by Lixiang Fu, Yaoru Wang, Shulei Wu, Jiasen Zhuang, Zhongqiang Wu, Jian Wu, Huandong Chen, Yukai Chen

“…ResNet improves the identification of small targets, while Swin Transformer enhances the segmentation of large-scale features. …”
Get full text

La syntaxe et la sémantique des démonstratifs prédicatifs en français, en chinois mandarin et en vietnamien : perspective typologique by Fanguang Kong, Huy Linh Dao

“…Six class of predicative demonstratives have been described one after another: presentive demonstratives, identification demonstratives, localizing demonstratives, copular demonstratives, manner demonstratives and implicit demonstratives. …”
Get full text

Identity as an Organizing Idea of New Vocabulary and Phraseology by T. V. Leontyeva, A. V. Shchetinina

Get full text

National Question and Its Resolution: Semantics of Ethnic Disintegration and Integration in Russian History Textbooks of 20th-21st Centuries by L. M. Golikov

“…This article addresses the issue of verbalizing the semantics of ethnic disintegration (separation) and integration (unity) through terminological means. …”
Get full text