Structured Transformation of Unstructured Prostate MRI Reports Using Large Language Models by Luca Di Palma, Fatemeh Darvizeh, Marco Alì, Deborah Fazzini

“…Methods: Five LLMs (Llama3.3, DeepSeek-R1-Llama3.3, Phi4, Gemma-2, and Qwen2.5-14B) were used to analyze free-text MRI reports retrieved from clinical practice. …”
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A Hybrid K-Means++ and Particle Swarm Optimization Approach for Enhanced Document Clustering by Eisha Hassan, Fazila Malik, Qazi Waqas Khan, Nadeem Ahmad, Muhammad Sardaraz, Faten Khalid Karim, Hela Elmannai

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WhatsApp Versus SMS for 2-Way, Text-Based Follow-Up After Voluntary Medical Male Circumcision in South Africa: Exploration of Messaging Platform Choice by Isabella Fabens, Calsile Makhele, Nelson Kibiribiri Igaba, Sizwe Hlongwane, Motshana Phohole, Evelyn Waweru, Femi Oni, Madalitso Khwepeya, Maria Sardini, Khumbulani Moyo, Hannock Tweya, Mourice Barasa Wafula, Jacqueline Pienaar, Felex Ndebele, Geoffrey Setswe, Tracy Qi Dong, Caryl Feldacker

“…We previously used 2-way texting (2wT) via SMS to improve the quality of postoperative care after voluntary medical male circumcision in South Africa. …”
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LINGUISTIC BASICS OF TEACHING FOREIGN STUDENTS OF PREPARATORY DEPARTMENTS THE SCIENTIFIC SPEECH STYLE IN THE STUDY OF NATURAL DISCIPLINES by Olexandr O. Kalenyk, Tetiana L. Tsaregradskaya, Maryna Yu. Rebenko, Iryna V. Ovsiienko

“…The evaluation of educational and scientific texts in physics and mathematics is made in terms of their information indicators (redundancy, density of teaching material, the average index of complexity). …”
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Expanding two-way texting for post-operative follow-up: A cost analysis of the implementation and scale-up in routine voluntary medical male circumcision settings in South Africa. by Molly Unsworth, Isabella Fabens, Geoffrey Setswe, Khumbulani Moyo, Jacqueline Pienaar, Calsile Makhele, Motshana Phohole, Nelson Igaba, Sizwe Hlongwane, Maria Sardini, Tracy Dong, Monisha Sharma, Hannock Tweya, Felex Ndebele, Marrianne Holec, Caryl Feldacker

“…Data included 6,842 males; 2,586 (38%) opted for 2wT. 2wT participants attended an average of zero in-person visits; SoC males had an average of 2 in-person visits. …”
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Keefektifan Model Pembelajaran Think Talk Write (TTW) dan Cooperative Integrated Reading and Composition (CIRC) dalam Keterampilan Menulis by Nina Prince Simorangkir, Ramly Ramly, Ambo Dalle, Johar Amir

“… Writing news text is a part of language skills that are considered difficult, influenced by internal and external factors. …”
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Multi-Targeted Textual Backdoor Attack: Model-Specific Misrecognition via Trigger Position and Word Choice by Taehwa Lee, Soojin Lee, Hyun Kwon

“…Our experimental results indicate that with a backdoor sample size of 2% and triggers placed at the beginning or end of sentences, the backdoor sample was misclassified by the targeted model with an average success rate of 98.92%, while maintaining an average accuracy of 94.15% for the original samples. …”
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EMOTION BASED ANALYSIS OF TURKISH CUSTOMER OPINIONS by E. Kahya-Ozyirmidokuz, E.A. Stoica

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Application of Improved MDSMOTE and FC-SVM in Imbalanced Data Set Classification by WEN Xue-yan, ZHAO Li-ying, XU Ke-sheng, LU Guang

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Spatial Position Reasoning of Image Entities Based on Location Words by Xingguo Qin, Ya Zhou, Jun Li

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Quantifying extreme opinions on Reddit amidst the 2023 Israeli–Palestinian conflict by Alessio Guerra, Marcello Lepre, Oktay Karakuş

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Learning to Score: A Coding System for Constructed Response Items via Interactive Clustering by Lingjing Luo, Hang Yang, Zhiwu Li, Witold Pedrycz

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Economic evaluation of short message service intervention for HIV prevention among men who have sex with men in China: a modelling study by Rui-Qi Fan, Jun-Tao Shu, Hao Huang, Ling-Yi Shi, Qi-Wei Ge, Xun Zhuang, Mei-Yin Zou, Gang Qin

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TF-IDF combined rank factor Naive Bayesian algorithm for intelligent language classification recommendation systems by Yonglian Luo, Cailin Lu

“…With the continuous improvement of smart language systems, a large amount of language text data has emerged. How to efficiently and accurately process these text data has become an important challenge. …”
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La fluidité : un moyen pour évaluer la compréhension de l’écrit by Imane MISSOUM BENZIANE, Fatima AIT DJIDA

“…Abstract We found that average 4th grade students had difficulty accessing the meaning of texts, even though official guidelines stated that they were able to understand all types of writing. …”
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Feasibility Study of Ontological Development Using Semi-Automatic Method based on Lexical Frequency Analysis: A Case Study of “glaucoma” by Somayeh Tamjid, Fatemeh Nooshinfard, Moluk S. Hoseini Beheshti, nadjla Hariri, Fahimeh Babolhavaeji

“…In this research, a semi-automated approach for ontology development is proposed, which assists in identifying structural components of an ontology and determining possible relations between them based on scientific text records. The proposed approach, in a general view, includes the gathering of a large volume of technical data in text format, processing, and extraction of results with a minimal contribution of human-based supervision. …”
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Natural language processing-based approach for automatically coding ship sensor data by Yunhui Kim, Kwangphil Park, Byeongwoo Yoo

“…Through the application of different text preprocessing techniques based on the unique characteristics of the data, the performances of the algorithms improved; the experimental results showed an accuracy of up to 91%, with an average improvement in accuracy of 5% for each algorithm.…”
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Analysis of Posters for Informing the Population via Social Media during Covid-19: Ukrainian Network by Даніїл Шматков, Марія Луіса Загалас-Санчес, Хав'єр Кашон-Загалас

“…The analysis of 298 unique works conducted through Ukrainian network on Facebook revealed that the overall average quality of the publications is on the borderline between medium and high levels – 69.3% (by text parameters – 70.0%, graphic parameters – 68.6%). …”
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Automated Search and Analysis of the Stylometric Features that Describe the Style of the Prose 19th-21st Centuries by Ksenia V. Lagutina, Alla M. Manakhova

“…Texts are combined by decades, for each decade there are found average values of stylometric features. …”
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Leveraging Cross-Project Similarity for Data Augmentation and Security Bug Report Prediction by Jinfeng Ji, Geunseok Yang

“…To achieve this goal, we propose a deep learning-based prediction method combined with a novel data augmentation method based on cross-project text similarity. The bug report data is collected from four open-source projects: Ambari, Camel, Derby, and Wicket, where the number of security bug reports is 56, 74, 179, and 47, respectively, and the number of non-security bug reports is significantly higher. …”
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