Application of the program for artificial intelligence analytics of paper text and segmentation by specified parameters in clinical practice by A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, A. A. Kobak, E. V. Bazaeva, D. N. Samochatov, E. V. Koshkina, Е. V. Bushueva, O. M. Drapkina

“…Extraction and recognition of data using EHR from various following sources: outpatient records, statements, routine medical reports, epicrisis and other structured and unstructured medical information based on the developed technology of intelligent text analytics, optical character recognition, for specified words and phrases, and the use of machine learning elements. …”
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Targeted generative data augmentation for automatic metastases detection from free-text radiology reports by Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan, Amber L. Simpson, Richard K. G. Do

“…In this study, we demonstrate how advancements in natural language processing, namely the instruction-following capability of recent large language models and extensive model pretraining, made it possible to automate metastases detection from radiology reports texts with a limited amount of gold-labeled data. …”
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Agricultural Text Classification Method Based on ERNIE 2.0 and Multi-Feature Dynamic Fusion by Xuliang Duan, Yuhai Liu, Zhenjia You, Zhiyao Li

“…Under the rapid development of agricultural information technology, there has been an explosive growth in agricultural Q&A texts on the Internet, making the accurate classification of these texts a critical research topic in this field. …”
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INTERACTIVE POWERPOINT TO IMPROVE LEARNING OUTCOMES IN INDONESIAN LANGUAGE FICTION TEXT MATERIAL FOR FOURTH GRADE STUDENTS by Mei Suryani, Arif Widagdo

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Developing E-LKPD for Junior High School Students : Enhancing Explanatory Text Writing Skills with Liveworksheets Support by Evi Merita Sari, Gallant Karunia Assidik

“…This study aims to develop interactive LKPD based on Liveworksheets to improve Indonesian language learning outcomes in explanatory text material. This study involved 31 students of class IX C of SMP Muhammadiyah Al-Kautsar PK Kartasura, by implementing the research and development (R&D) method using the ADDIE model. …”
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Multi-label text classification via secondary use of large clinical real-world data sets by Sai Pavan Kumar Veeranki, Akhila Abdulnazar, Diether Kramer, Markus Kreuzthaler, David Benjamin Lumenta

“…Support vector machines performed better for surgery reports with a sequence length greater than 512, achieving a mean average precision of 0.872 in comparison to 0.840 for fastText, 0.837 for medBERT.de and 0.820 for surgeryBERT.at. …”
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Using Local-Wisdom Literature in Teaching English through Text-Based Method on Merdeka Belajar Curriculum by Rehan Halilah Lubis, Besse Darmawati

“…Literary text-based learning is interesting because literature learning in schools is often neglected. …”
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Aspect-Based Sentiment Analysis Model for Short Text with Interactive Dependent Multi-head Graph Attention by AISiyu, CHENHailong, CUIXinying, ANRui

“…Then, it uses the dependent graph attention structure to calculate the attention weights of individual words and dependencies between words in the sentence, and extracts sparse dependency relationships in short text as much as possible. It uses self-attention pooling and average pooling methods for contextual and aspect words at the word level, reducing the computational complexity of the model while preserving emotional features. …”
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Development of News Text Writing E-Module Designing The Concept of Differentiation for Senior High School Students by Aegustinawati Aegustinawati, Yeti Mulyati, Khaerudin Kurniawan

“…Expert validation showed that this product was "very feasible" to be used as teaching material for writing news texts with an average assessment percentage reaching 96%. …”
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An Efficient Text-Mining Framework of Automatic Essay Grading Using Discourse Macrostructural and Statistical Lexical Features by Husam M. Alawadh, Talha Meraj, Lama Aldosari, Hafiz Tayyab Rauf

“…One such technology is Automatic Essay Grading (AEG) or Automatic Text Scoring (ATS) systems. To enable educators to remain more focused on teaching, there is a dire need to develop a more efficient use of their time. …”
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Dynamic Text Augmentation for Robust Sentiment Analysis: Enhancing Model Performance With EDA and Multi-Channel CNN by Komang Wahyu Trisna, Jinjie Huang, Yuanjian Chen, I Gede Juliana Eka Putra

“…The MCNN architecture effectively captures local patterns in text using multiple filter sizes, enabling comprehensive feature extraction with low computational overhead. …”
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MED-Prompt: A novel prompt engineering framework for medicine prediction on free-text clinical notes by Awais Ahmed, Xiaoyang Zeng, Rui Xi, Mengshu Hou, Syed Attique Shah

“…In addition, the fine-tuned also showed an average of 2.38 times better processing performance. …”
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Exploring the Application of Text-to-Image Generation Technology in Art Education at Vocational Senior High Schools in Taiwan by Chin-Wen Liao, Hsiang-Wei Chen, Bo-Siang Chen, I-Chi Wang, Wei-Sho Ho, Wei-Lun Huang

“…Testing AI tools enhanced technical proficiency (average of 3.95/5), while pedagogy shifted to project-based learning, increasing engagement. …”
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Text-Guided Synthesis in Medical Multimedia Retrieval: A Framework for Enhanced Colonoscopy Image Classification and Segmentation by Ojonugwa Oluwafemi Ejiga Peter, Opeyemi Taiwo Adeniran, Adetokunbo MacGregor John-Otumu, Fahmi Khalifa, Md Mahmudur Rahman

“…Stable Diffusion and DreamBooth Low-Rank Adaptation produce images that look authentic, with an average Inception score of 2.36 across three datasets. …”
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Development of Digital Comics Integrated with Pancasila Student Profiles in The Merdeka Curriculum to Enhance Narrative Text Comprehension by Rika Naisa'ada, Petra Kristi Mulyani

“…This study investigates the development, feasibility, and effectiveness of Nafi Lala (Narasi Profil Pelajar Pancasila), a digital comic designed to enhance fourth-grade students' reading comprehension of narrative texts through the integration of Pancasila Student Profile dimensions in the Merdeka Curriculum. …”
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The Effect of Using KWL Strategy on Comprehending Descriptive Text at Tenth Grade Students of SMAN 3 Tapung Hulu by Heni Adetya Gultom, Novitri Syam, M Syarfi

“…The results showed that the average post-test is 87.86 and the average pre-test is 68.53. …”
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Multilayer Network Modeling for Brand Knowledge Discovery: Integrating TF-IDF and TextRank in Heterogeneous Semantic Space by Peng Xu, Rixu Zang, Zongshui Wang, Zhuo Sun

“…To address this gap, this study proposes a BKMN framework integrating TF-IDF and TextRank algorithms for comprehensive brand knowledge discovery. …”
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Evaluating the utility of texting in the ambulatory care of paediatric patients with type 1 diabetes: a quality improvement report by Eiko Waida, Susi Wilkinson, Madison Brauer

“…The average additional clinical time required was 56 min per week (average of 30 s/interaction). …”
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A Critical Review on the Book “Sufism and Politics in Prose Texts until the End of the 4th Century )AH(“ by Peiman Abolbashari

“…The choice of a weak hypothesis along with a lack of method has made the author lose track of the historical background and context and has caused the time and place to be lost in the text. Heidari has also made it impossible for the average audience to read the book by quoting untranslated Arabic narrations. …”
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The Students’ Reading Competence in Recount Text: A Study on the Ninth Grade Students of SMP Bustanul Ulum Bantarkawung by M Mujiburrohman

“…After conducting the research, it revealed that the mean of the students’ reading competence in using Recount Text tense was 78. It means that the average of the students could answer 61-80%% of the test items correctly. …”
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