Drug repurposing for Alzheimer’s disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph by Zhiping Paul Wang, Xi Li, Nicholas Matsumoto, Mythreye Venkatesan, Jui-Hsuan Chang, Jay Moran, Hyunjun Choi, Binglan Li, Yufei Meng, Miguel E. Hernandez, Jason H. Moore

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Enhancing Pulmonary Disease Prediction Using Large Language Models With Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study Based on R... by Ronghao Li, Shuai Mao, Congmin Zhu, Yingliang Yang, Chunting Tan, Li Li, Xiangdong Mu, Honglei Liu, Yuqing Yang

“…The traditional deep learning model, BERT (Bidirectional Encoder Representations from Transformers), was also compared to assess the superiority of LLMs. …”
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Machine Learning Model Discriminate Ischemic Heart Disease Using Breathome Analysis by Basheer Abdullah Marzoog, Peter Chomakhidze, Daria Gognieva, Nina Vladimirovna Gagarina, Artemiy Silantyev, Alexander Suvorov, Ekaterina Fominykha, Malika Mustafina, Ershova Natalya, Aida Gadzhiakhmedova, Philipp Kopylov

“…<b>Background:</b> Ischemic heart disease (IHD) impacts the quality of life and is the most frequently reported cause of morbidity and mortality globally. <b>Aims:</b> To assess the changes in the exhaled volatile organic compounds (VOCs) in patients with vs. without ischemic heart disease (IHD) confirmed by stress computed tomography myocardial perfusion (CTP) imaging. …”
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Peer assessment using one-to-one tablets to improve the English oral presentation of fourth-grade students in Taiwan by Yi-Shan Kuo, Sandy I Ching Wang, Eric Zhi Feng Liu

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Regression models for the prediction of the influence of magnesium ions on primary endothelial cell (HUVEC) proliferation and migration by Heike Helmholz, Redon Resuli, Marius Tacke, Jalil Nourisa, Sven Tomforde, Roland Aydin, Regine Willumeit-Römer, Berit Zeller-Plumhoff

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Extending Embedding Representation by Incorporating Latent Relations by Gao Yang, Wang Wenbo, Liu Qian, Huang Heyan, Yuefeng Li

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Tracking E-Learning for Arabic Dyslexia Through Published Papers: A Systematic Review by Al-DawsariHadeel M. Hadeel, Weam G. Alghabban

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Neurophysiological Approaches to Lie Detection: A Systematic Review by Bewar Neamat Taha, Muhammet Baykara, Talha Burak Alakuş

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Transformer-based ensemble model for dialectal Arabic sentiment classification by Omar Mansour, Eman Aboelela, Remon Talaat, Mahmoud Bustami

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Novel application of deep learning to evaluate conversations from a mental health text support service by Daniel Cahn, Sarah Yeoh, Lakshya Soni, Ariele Noble, Mark A. Ungless, Emma Lawrance, Ovidiu Şerban

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A Literature Review on Arabic Automatic Question Generation by Abdulkhaleq Amin Abdullah, Khaled A. Al-Soufi

“…The review introduces a taxonomy of Arabic AQG approaches, classifying them into rule-based, template-based, and machine learning-based methods. It examines the pivotal role of datasets, resources, and evaluation methodologies in the training and assessment of AQG systems. …”
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Prediction of human pathogenic start loss variants based on self-supervised contrastive learning by Jie Liu, Henghui Fan, Na Cheng, Yansen Su, Junfeng Xia

“…Conclusions Collectively, these findings highlight the potential of integrating self-supervised contrastive learning with unlabeled data to mitigate the challenge posed by the scarcity of labeled start loss variants.…”
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Is GPT-4 fair? An empirical analysis in automatic short answer grading by Luiz Rodrigues, Cleon Xavier, Newarney Costa, Dragan Gasevic, Rafael Ferreira Mello

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Listening to Patients: Advanced Arabic Aspect-Based Sentiment Analysis Using Transformer Models Towards Better Healthcare by Seba AlNasser, Sarab AlMuhaideb

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Éléments conversationnels du clavardage : un entraînement à l'expression orale pour les apprenants de langues à distance ? by Vincenza Tudini

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AutoTA: A Dynamic Intent-Based Virtual Teaching Assistant for Students Using Open Source LLMs by Rajashree Dahal, Greg Murray, Robin Chataut, Mohamed Hefeida, Anurag K. Srivastava, Prashnna K. Gyawali

“…These findings highlight the potential of the proposed framework to enhance personalized learning and improve student engagement. While tested in a computer science course, the framework incorporates diverse assessment types that suggest potential for broader application.…”
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Comprehension of texts in Digital Format versus Printed Texts and Self-Regulated Learning in University Students by Paula Gabriela Flores-Carrasco, Alejandro Díaz-Mujica, Irma Elena Lagos-Herrera

“…Three measuring instruments were used: a questionnaire of self-regulated learning and two comprehension tests based on the understanding of Parodi’s (2005) assessment model. …”
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Explainability of Network Intrusion Detection Using Transformers: A Packet-Level Approach by Pahavalan Rajkumardheivanayahi, Ryan Berry, Nicholas U. Costagliola, Lance Fiondella, Nathaniel D. Bastian, Gokhan Kul

“…Machine learning based NIDS models leverage algorithms that learn from historical network traffic data to identify patterns and anomalies to capture complex relationships. …”
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Assessment of Appearance-related Questions About Breast Reconstruction Generated by Chat Generative Pre-trained Transformer by Xiomara T. Gonzalez, MSE, Margaret S. Roubaud, MD, Mark V. Schaverien, MD, Rene D. Largo, MD, Christopher S. Parham, MD, Ashleigh M. Francis, MD, Tzuan A. Chen, PhD, Aubri S. Hoffman, PhD, Ryan M. Dickey, MD, Mia K. Markey, PhD, Gregory P. Reece, MD

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