VP-SFDA: Visual Prompt Source-Free Domain Adaptation for Cross-Modal Medical Image by Yixin Chen, Yan Wang, Zhaoheng Xie

“…Notably, in the abdominal MRI to CT adaptation task, the VP-OS method achieved a remarkable improvement, increasing the average DICE score from 0.658 to 0.773 (P [Formula: see text] 0.01) and reducing the average surface distance (ASD) from 3.489 to 2.961 (P [Formula: see text] 0.01). …”
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Applications of AI-Based Models for Online Fraud Detection and Analysis by Antonis Papasavva, Samantha Lundrigan, Ed Lowther, Shane Johnson, Enrico Mariconti, Anna Markovska, Nilufer Tuptuk

“…However, the application of AI, particularly Natural Language Processing (NLP), to detect and analyse patterns of online fraud remains understudied. This review addresses this gap by investigating the potential role of AI in analysing online fraud using text data. …”
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Analysis of Entrance Hierarchy in Qajar Houses of Qom Using Space Syntax Approach with Emphasis on Privacy by Elham Aram, Leila Aram

“…<p class="MsoPlainText" style="text-align: left;"><span style="font-size: 10.0pt; font-family: 'Calibri',sans-serif;">The spa<span style="font-family: 'times new roman', times, serif;">tial configuration in traditional Iranian residential architecture reflects socio-cultural relationships and embodies the principle of privacy. …”
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A Novel Framework for Saraiki Script Recognition Using Advanced Machine Learning Models (YOLOv8 and CNN) by Hafiz Muhammad Raza Ur Rehman, Syed Arfan Haider, Hiba Faisal, Kook-Yeol Yoo, M. Z. Jhandir, Gyu Sang Choi

“…By combining these two domains, machine learning has emerged as a potent instrument in linguistics, improving our capacity to comprehend semantics, analyze verbal patterns, and even simulate human-like replies. This work represents a major breakthrough in the use of machine learning models for the detection and replication of Saraiki handwritten text as Saraiki is one of the important language. …”
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Assessing the rereading effect of digital reading through eye movements using artificial neural networks by Ying Xu, Ying Xu, Mingzhen Liang, Mingzhen Liang, Yuanyuan Jin, Yuanyuan Jin, Ligang Wang, Ligang Wang, Wenbin Gao, Wenbin Gao, Ting Tao, Ting Tao

“…These results expand our understanding of rereading behavior and offer valuable insights for assessing students’ text familiarity.…”
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Artificial Intelligence−Driven Analysis Identifies Anterior Cruciate Ligament Reconstruction, Hip Arthroscopy and Femoroacetabular Impingement Syndrome, and Shoulder Instability as... by Henry B.G. Baird, B.S., William Allen, M.D., Mauricio Gallegos, M.D., Cody C. Ashy, M.D., Harris S. Slone, M.D., W. Michael Pullen, M.D.

“…Conclusions: Using BERTopic, the study showed an efficient way to analyze large amounts of data to establish patterns within orthopaedic sports medicine literature. …”
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Regional trending topics mining from real time Twitter data for sentiment, context, network and temporal analysis by Mousumi Hasan, Mujiba Shaima, Quazi Saad ul Mosaher

“…Unlike other social media platforms, Twitter offers researchers an open data source for multifaceted studies, motivating us to delve into regional trending topics, analyzing associated sentiments, context, networks, and temporal patterns. Using machine learning techniques combined with the VADER algorithm, we conducted a comprehensive analysis involving text, metadata, contextual cues, media, links, and historical data. …”
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THE ROLE OF NARRATIVES AND MYTHS IN SHAPING POLITICAL DISCOURSE: EVOLUTIONS OF WAR STORIES IN ZELENSKYY’S DISCOURSE DURING THE FIRST YEAR OF THE 2022 RUSSIAN-UKRAINIAN WAR by Bogdan Podar

“…We propose a mixed methodology for text analysis supported by computational linguistics software programs [KH Coder; Sketch Engine]. …”
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Experts' Encounters in Antenatal Diabetes Care: A Descriptive Study of Verbal Communication in Midwife-Led Consultations by Christina Furskog Risa, Febe Friberg, Eva Lidén

“…Two communicative patterns were revealed: an expert's frame and a shared experts' frame. …”
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Armeno-Turkish Proverbs and Idioms in Three Books by Zehra Hamarat Yardımcı

“…Proverbs are linguistic forms that reflect the thought patterns of a society by conveying thoughts and feelings in their most concise form. …”
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Unveiling Hate Speech Dynamics: An Examination of Discourse Targeting the Spanish Meteorological Agency (AEMET) by Sergio Arce-García, Virginia Martin-Jiménez, Leticia Rodríguez-Fernández

“…We analysed nearly half a million messages posted between 31 December 2021 and 19 April 2023, using hate speech detection algorithms, text mining techniques, and qualitative analysis to identify patterns and themes in the discourse. …”
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ML-Based Pain Recognition Model Using Mixup Data Augmentation by Raghu M. Shantharam, Friedhelm Schwenker

“…While mixup has proven effective in image, speech, and text datasets, its application to time-series signals like electrodermal activity (EDA) is less explored. …”
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INTERTEXTUALITY THROUGH BODY LANGUAGE : THE SMILE OF LARBI BEN M’HIDI AND THE YOUTH OF THE PALESTINIAN RESISTANCE. AN ANALYTICAL DESCRIPTIVE SEMIOTIC STUDY by Nassira DJEGHRI ZAROUTA

“…The semiotic movement worked to expand its scope, which is no longer restricted to the literary field; its use extended to visual texts and even more so to body language, which can create knowledge accumulations from which subsequent texts can benefit. …”
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A Multimodal Dataset of Fact-Checked News from Chile’s Constitutional Processes: Collection, Processing, and Analysis by Ignacio Molina, Brian Keith, Mauricio Matus

“…The collection comprises 300 articles from three sources: <i>Fast Check</i>, <i>Fact Checking UC</i>, and <i>BioBioChile</i>, containing 242,687 words of text and visual content in 168 entries. The dataset implements advanced natural language processing through RoBERTa and computer vision techniques via EfficientNet, with unified multimodal analysis using the CLIP model. …”
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Pathogen stress heightens sensorimotor dimensions in the human collective semantic space by Ze Fu, Huimin Chen, Zhan Liu, Maosong Sun, Zhiyuan Liu, Yanchao Bi

“…To address this, we conducted three studies examining the relationship between pathogen severity and semantic space, probed through the main neurocognitive semantic dimensions revealed by large-scale text analyses: one cross-cultural study (across 43 countries) and two historical studies (over the past 100 years). …”
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Emoji-Driven Sentiment Analysis for Social Bot Detection with Relational Graph Convolutional Networks by Kaqian Zeng, Zhao Li, Xiujuan Wang

“…Specifically, we first establish emoji–text mapping relationships using the Emoji Library, leverage GPT-4 to improve textual coherence, and generate tweet embeddings via RoBERTa. …”
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Authenticity of the “Interrogatio” Iohannis in the Light of Contemporary Deconstructionist Source Criticism by Piotr Czarnecki

“…Before it happens I decided to take a closer look at this apocryphal text. Through the analysis of its doctrine in the light of the Eastern sources concerning the Bogomils I am going to answer the question of whether this work, known only from the Latin manuscripts, indeed could have been created by the Bogomils and if it is possible to question its authenticity using the patterns used by the deconstructionist scholars.…”
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Clarifying species identity in Aphanopus using wavelet-based otolith shape analysis. by Joana Vasconcelos, Javier Martinez, Airam Guerra-Marrero, José Otero-Ferrer, Alba Jurado-Ruzafa, Ricardo Sousa, Carlos Hernández-González, Mafalda Freitas, Víctor M Tuset

“…The analysis revealed stable species proportions over time, with A. carbo generally dominating the catches ([Formula: see text]55-60%), except in 2010 when a decline was observed. …”
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Interreligious Dialogue as a Communicative Process: Intersubjectivity and Misunderstandings in Brescia by Maddalena Colombo

“…A sociocultural analysis outlines the communicative frame: text; context; aims; acts; interlocutors and their power/freedom of expression; interactions; results. …”
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Cases of Hashtagging as a Facilitator of the Protest Movements by A. V. Alekseev

“…The work presents universal patterns of the formation of lexical units, expressed in the form of hashtags. …”
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