Leveraging ChatGPT for Enhancing Arabic NLP: Application for Semantic Role Labeling and Cross-Lingual Annotation Projection by Ferial Senator, Abdelaziz Lakhfif, Imene Zenbout, Hanane Boutouta, Chahrazed Mediani

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A joint three-plane physics-constrained deep learning based polynomial fitting approach for MR electrical properties tomography by Kyu-Jin Jung, Thierry G. Meerbothe, Chuanjiang Cui, Mina Park, Cornelis A.T. van den Berg, Stefano Mandija, Dong-Hyun Kim

“…Based on this physics-constrained deep learning approach, we achieved an improvement of conductivity estimation accuracy in comparison to a single plane estimation and a reduction of computational load. The results demonstrate that the proposed method based on 3D data exhibits superior performance in comparison to conventional polynomial fitting methods in terms of capturing anatomical detail and homogeneity. …”
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Water-Matching CAM: A Novel Class Activation Map for Weakly-Supervised Semantic Segmentation of Water in SAR Images by Kai Wang, Zhongle Ren, Biao Hou, Feng Sha, Zhiyang Wang, Weibin Li, Licheng Jiao

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Explainable AI for Healthcare 5.0: Opportunities and Challenges by Deepti Saraswat, Pronaya Bhattacharya, Ashwin Verma, Vivek Kumar Prasad, Sudeep Tanwar, Gulshan Sharma, Pitshou N. Bokoro, Ravi Sharma

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Spreading Social Influence with both Positive and Negative Opinions in Online Networks by Jing (Selena) He, Meng Han, Shouling Ji, Tianyu Du, Zhao Li

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Enhanced Intrusion Detection in Drone Networks: A Cross-Layer Convolutional Attention Approach for Drone-to-Drone and Drone-to-Base Station Communications by Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi

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From deliberation to acclamation: how did Twitter’s algorithms foster polarized communities and undermine democracy in the 2020 US presidential election by Gustavo Morales, Gustavo Morales, Augusto Salazar, Diego Puche

“…This study not only provides empirical evidence on the impact of ICT on democracy but also introduces innovative computational techniques for analyzing large-scale social media data.…”
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Magnetically Triggered Monodispersed Nanocomposite Fabricated by Microfluidic Approach for Drug Delivery by O. Yassine, E. Q. Li, A. Alfadhel, A. Zaher, M. Kavaldzhiev, S. T. Thoroddsen, J. Kosel

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STI/HIV risk prediction model development—A novel use of public data to forecast STIs/HIV risk for men who have sex with men by Xiaopeng Ji, Zhaohui Tang, Sonya R. Osborne, Thi Phuoc Van Nguyen, Amy B. Mullens, Judith A. Dean, Yan Li

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Automated Defect Detection through Flaw Grading in Non-Destructive Testing Digital X-ray Radiography by Bata Hena, Gabriel Ramos, Clemente Ibarra-Castanedo, Xavier Maldague

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Brain Networks Connectivity in Mild to Moderate Depression: Resting State fMRI Study with Implications to Nonpharmacological Treatment by Dmitry D. Bezmaternykh, Mikhail Ye. Melnikov, Andrey A. Savelov, Lyudmila I. Kozlova, Evgeniy D. Petrovskiy, Kira A. Natarova, Mark B. Shtark

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Improving spleen segmentation in ultrasound images using a hybrid deep learning framework by Ali Karimi, Javad Seraj, Fatemeh Mirzadeh Sarcheshmeh, Kasra Fazli, Amirali Seraj, Parisa Eslami, Mohamadreza Khanmohamadi, Helia Sajjadian Moosavi, Hadi Ghattan Kashani, Abdoulreza Sajjadian Moosavi, Masoud Shariat Panahi

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Metadag: a web tool to generate and analyse metabolic networks by Pere Palmer-Rodríguez, Ricardo Alberich, Mariana Reyes-Prieto, José A. Castro, Mercè Llabrés

“…By retrieving data from the KEGG database, MetaDAG helps users visualize and analyze complex metabolic interactions efficiently. Results MetaDAG computes two models: a reaction graph and a metabolic directed acyclic graph (m-DAG). …”
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AFN-Net: Adaptive Fusion Nucleus Segmentation Network Based on Multi-Level U-Net by Ming Zhao, Yimin Yang, Bingxue Zhou, Quan Wang, Fu Li

“…These results illustrate that the method proposed in this paper not only excels in the segmentation of complex shapes and small targets but also significantly enhances overall performance at lower computational costs. This research offers new insights and references for model design in future medical image segmentation tasks.…”
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Hierarchical Feature Attention Learning Network for Detecting Object and Discriminative Parts in Fine-Grained Visual Classification by A. Yeong Han, Kwang Moo Yi, Kyeong Tae Kim, Jae Young Choi

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A Hidden Surveillant Transmission Line Protection Layer for Cyber-Attack Resilience of Power Systems by Hossein Ebrahimi, Sajjad Golshannavaz, Amin Yazdaninejadi, Edris Pouresmaeil

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Gene Regulatory Network of Human GM-CSF-Secreting T Helper Cells by Szabolcs Éliás, Angelika Schmidt, David Gomez-Cabrero, Jesper Tegnér

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Attentive Self-supervised Contrastive Learning (ASCL) for plant disease classification by Getinet Yilma, Mesfin Dagne, Mohammed Kemal Ahmed, Ravindra Babu Bellam

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Harnessing CRISPR interference to resensitize laboratory strains and clinical isolates to last resort antibiotics by Angelica Frusteri Chiacchiera, Michela Casanova, Massimo Bellato, Aurora Piazza, Roberta Migliavacca, Gregory Batt, Paolo Magni, Lorenzo Pasotti

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Discrete-Time Markovian Jump Linear Robust Filtering for Visual and GPS Aided Magneto-Inertial Navigation by Kenny A. Q. Caldas, Roberto S. Inoue, Marco H. Terra, Vitor Guizilini, Fabio Ramos

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