XSShield: Defending Against Stored XSS Attacks Using LLM-Based Semantic Understanding by Yuan Zhou, Enze Wang, Wantong Yang, Wenlin Ge, Siyi Yang, Yibo Zhang, Wei Qu, Wei Xie

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Smart City Traffic Flow and Signal Optimization Using STGCN-LSTM and PPO Algorithms by Tuxiang Lin, Rongliang Lin

“…Urban traffic congestion remains a critical challenge for smart city development, necessitating innovative approaches to improve traffic flow and reduce delays. This study presents a novel framework that integrates the Spatiotemporal Graph Convolutional Network-Long Short-Term Memory (STGCN-LSTM) model for traffic flow prediction with the Proximal Policy Optimization (PPO) algorithm for dynamic traffic signal control. …”
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MMEmAsis: multimodal emotion and sentiment analysis by Gleb A. Kiselev, Yaroslava M. Lubysheva, Daniil A. Weizenfeld

“…For visual analysis, two different approaches were implemented: a pre-trained ResNet model for direct sentiment classification from facial expressions, and a deep learning model that integrates ResNet with a graph-based deep neural network for facial recognition. …”
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Explainable Artificial Intelligence for Patient Safety: A Review of Application in Pharmacovigilance by Seunghee Lee, Seonyoung Kim, Jieun Lee, Jong-Yeup Kim, Mi-Hwa Song, Suehyun Lee

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MEN: leveraging explainable multimodal encoding network for precision prediction of CYP450 inhibitors by Abena Achiaa Atwereboannah, Wei-Ping Wu, Mugahed A. Al-antari, Sophyani B. Yussif, Chukwuebuka J. Ejiyi, Edwin K. Tenagyei, Grace-Mercure B. Kissanga, Gyarteng S. A. Emmanuel, Yeong Hyeon Gu, Emmanuel Ahene

“…Abstract Drug–drug interactions (DDIs) present serious risks in clinical settings, especially for patients who are prescribed multiple medications. …”
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Efficient and Motion Correction-Free Myocardial Perfusion Segmentation in Small MRI Data Using Deep Transfer Learning From Cine Images: A Promising Framework for Clinical Implement... by German Garcia-Jara, Angel Jimenez-Molina, Esteban Reyes, Nicolas Tapia-Rivas, Cristobal Ramos-Gomez, Jose De Grazia, Matias Sepulveda

“…This paper presents an innovative, efficient approach to myocardial perfusion segmentation, utilizing deep learning techniques without motion correction and with minimal data requirements. …”
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Predicting heat transfer Performance in transient flow of CNT nanomaterials with thermal radiation past a heated spinning sphere using an artificial neural network: A machine learn... by S.R. Mishra, P.K. Pattnaik, Rupa Baithalu, P.K. Ratha, Subhajit Panda

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A Novel Approach Based on Hypergraph Convolutional Neural Networks for Cartilage Shape Description and Longitudinal Prediction of Knee Osteoarthritis Progression by John B. Theocharis, Christos G. Chadoulos, Andreas L. Symeonidis

“…It encompasses deep <i>HGCN</i> convolutions, graph pooling, and readout operations in a hierarchy of layers, providing, at the output, expressive 3D shape descriptors of the cartilage volume. …”
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Analysis Prospective Mathematics Teachers’ Lesson Planning: A Praxeological-Didactical Theory by Eva Musyrifah, Didi Suryadi, Endang Cahya, Jarnawi Afgani Dahlan

“…Four types of tasks are presented in the lesson plan on drawing graphs of quadratic functions.  …”
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Decision level scheme for fusing multiomics and histology slide images using deep neural network for tumor prognosis prediction by Tingting Zhao, Yongyong Ren, Hui Lu, Yan Kong

“…Here, we presented a decision level multimodal data fusion framework for integrating multiomics and pathological tissue slide images for prognosis prediction. …”
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Real-Time Player Engagement Measurement Using Nonintrusive Game Telemetry by Ammar Rashed, Shervin Shirmohammadi, Mohamed Hefeeda

“…Our approach combines graph convolutional networks for modeling player interactions with Transformer networks for temporal processing, enabling indirect measurement of both player skill and game challenge, which in turn are used to classify player engagement. …”
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Comparison of students\' satisfaction with three teaching methods: Flipped class, Small groups, and Teacher role-playing in histology courses at Babol University of Medical Science... by Farideh Feizi, Zohre Esmaeili, Zahra Babazadeh

“…Data were analyzed using GraphPad Prism 9 software. Findings: In the present research, 314 students from the first to fourth semester studying at Babol University of Medical Sciences answered the Satisfaction Questionnaire, among which 54.4% were female and 43.6% male. …”
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Adaptive Cut Selection in Mixed-Integer Linear Programming by Turner, Mark, Koch, Thorsten, Serrano, Felipe, Winkler, Michael

“…We propose a variation on the design of existing graph convolutional neural networks, adapting them to learn cut selection rule parameters. …”
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Predicting mechanical properties of elastomer honeycombs using fast image-based measurements by Hyeongkeun Kim, Christopher H. Conway, Sezer Özerinç, Sameh H. Tawfick, William P. King

“…Models that use measured wall dimensions outperform models based on design values only. A Graph Neural Network (GNN) predicts the linear elastic stiffness, plateau stress, and densification onset with 18.2 %, 16.0 %, and 3.2 % error. …”
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Tertiary Review on Explainable Artificial Intelligence: Where Do We Stand? by Frank van Mourik, Annemarie Jutte, Stijn E. Berendse, Faiza A. Bukhsh, Faizan Ahmed

“…We evaluated 40 systematic literature review papers and presented binary tabular overviews of researched XAI methods and their respective characteristics, such as the scope, scale, input data, explanation data, and machine learning models researched. …”
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A social information sensitive model for conversational recommender systems by Abdulaziz Mohammed, Mingwei Zhang, Gehad Abdullah Amran, Husam M. Alawadh, Ruizhe Wang, Amerah Alabrah, Ali A. Al-Bakhrani

“…While these systems show promise, they face challenges in effectively utilizing and integrating informative data with conversation history through semantic fusion. In this study we present an innovative framework for extracting social information from conversational datasets by inferring ratings and constructing user-item interaction and user-user relationship graphs. …”
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Redes semánticas, léxico disponible y didáctica del vocabulario en ELE: un análisis por niveles de español / Semantic networks, available lexicon and vocabulary didactics in SFL. A... by Marta Sánchez-Saus Laserna

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Triple-E Principle: Leveraging Occam&#x2019;s Razor for Dance Energy Expenditure Estimation by Kuan Tao, Kun Meng, Bingcan Gao, Junchao Yang, Junqiang Qiu

“…Traditional methods, relying on empirical formulas within ActiGraph accelerometers, often result in significant biases. …”
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NetTCR-struc, a structure driven approach for prediction of TCR-pMHC interactions by Sebastian N. Deleuran, Morten Nielsen

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Stock Price Predictions with LSTM-ARIMA Hybrid Model under Neutrosophic Treesoft sets with MCDM interaction by Florentin Smarandache, G. Dhanalakshmi, Dr. S. Sandhiya

“…Furthermore, the definitions of fuzzy treesoft sets and neutrosophic treesoft sets have been presented for the first time. A plotly graph is generated to compare the real and projected stock prices for all the equities. …”
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