PhishingGNN: Phishing Email Detection Using Graph Attention Networks and Transformer-Based Feature Extraction by Mejdl Safran, Abdulbaset Musleh

“…Phishing emails remain a critical cybersecurity challenge, demanding detection frameworks that capture both textual semantics and structural relationships in email data. This study introduces PhishingGNN, a hybrid model that integrates DistilBERT for context-aware text analysis with Graph Attention Networks (GAT) to model email metadata and content as graph structures, detecting subtle phishing patterns overlooked by traditional methods. …”
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Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning by Pengcheng Wu, Yan Shi, Pengfei Zhao, Zhengzhao Gu

“…By merging data-driven learning with simulation-informed constraints, our approach enhances both predictive accuracy and interpretability. Empirical evaluations across diverse benchmark datasets validate the effectiveness of our framework, demonstrating its robustness, scalability, and ability to uncover meaningful temporal patterns in complex time series data.…”
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Dual-Path Adversarial Denoising Network Based on UNet by Jinchi Yu, Yu Zhou, Mingchen Sun, Dadong Wang

“…The generator creates synthetic noise patterns to augment training data, while the dual-path-UNet denoiser uses multiple receptive field modules to preserve fine details and dense feature fusion to maintain global structural integrity. …”
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Lattice Boltzmann simulation for phase separation with chemical reaction controlled by ultrasound field. by Heping Wang, Ying Lu

“…In this work, the phase separation behavior and pattern formation in binary fluids with chemical reactions controlled by ultrasonic radiation were systematically investigated. …”
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Acylated glucopyranosides: FTIR, NMR, FMO, MEP, molecular docking, dynamics simulation, ADMET and antimicrobial activity against bacterial and fungal pathogens by Nasrin Akter, Supriyo Saha, Md. Ahad Hossain, Kabir M. Uddin, Ajmal R. Bhat, Sumeer Ahmed, Sarkar M.A. Kawsar

“…In addition, a 100 ns molecular dynamics simulation process was performed to monitor the behavior of the complex structure formed by the receptor 6VMZ under in silico physiological conditions to examine its stability over time, which revealed a stable conformation and binding pattern in a stimulating environment of methyl α-D-glucopyranoside derivatives. …”
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Exploring the magnetic and magnetocaloric properties of PLA composite filaments of Mn0.5Fe0.5Ni0.95Cr0.05Si0.95Al0.05 for additive manufacturing by Ashika Bhatta, Thomas F. McKenzie, Jemma R. DeFeo, Jacob Casey, Venkateswara Yenugonda, Shakhzodkhon Mukaddaskhonov, Gejla Toromani, Arjun K. Pathak, Mahmud Khan

“…X-ray diffraction patterns confirmed that the as-cast powder and the extruded filament composites exhibited the mixed hexagonal and orthorhombic crystal structures at room temperature. …”
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Representation of the perception of effective factors on the implementation of Eric Cheng's knowledge management model in secondary schools of West Azarbaijan province by parivash mohammadi gheshlagh

“…The research tool is a semi-structured interview, and Lincoln and Guba's four criteria were used for the reliability of the data. …”
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Procedure for Microscopic Analysis of Red Blood Cell Membranes by V. V. Moroz, A. M. Chernysh, E. K. Kozlova, O. E., Gudkova, V. A. Sergunova, E. A. Myagkova, A. N. Kuzovlev

“…Transition from micron to nanometric image sizes creates many problems associated with the emergence of non-uniform scale heterogeneities of objects. To recognize the structural units of membrane heterogeneities is a complex pathophysiological and biophysical task. …”
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SegAN for Recognition of Caries From 2D-Panoramic X-Ray Images by Parvathaneni Naga Srinivasu, Gorli L. Aruna Kumari, D. Jaya Kumari, Paolo Barsocchi, Akash Kumar Bhoi

“…On the other hand, the discriminator ensures that the output matches realistic segmentation patterns. The SegAN model efficiently handles the local and global contextual information for precise segmentation by considering Pixel-Wise and structural loss measures that assist in better segmentation of complex structures. …”
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Impact of single domain configuration on photocatalytic dye removal in cerium-substituted cobalt ferrite nanoparticles by Dede Djuhana, Candra Kurniawan, Adiana Musadewi, Nurdiyantoro Putra Prasetya, Utari, Suharno, Dong-Hyun Kim, Budi Purnama

“…The XRD characterization and Rietveld-fullprof analysis showed that the diffraction pattern was in accordance with ICDD no. ICDD 22–1086 showed a face-centered cubic (fcc) structure with a space group of Fd-3 m, which is the pristine crystalline structure of cobalt ferrite. …”
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Cardioepigenetics in action: aerobic exercise-induced modulation of miRNAs, lncRNAs, and chromatin remodeling in cardiovascular disease by Shoudu Yuan, Qi Ye, Ran Qin

“…Additionally, we discuss aerobic exercise-induced changes in DNA methylation and histone modification patterns that contribute to transcriptional reprogramming and long-term cardiovascular benefits. …”
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Fractional Transfer Entropy Networks: Short- and Long-Memory Perspectives on Global Stock Market Interactions by Ömer Akgüller, Mehmet Ali Balcı, Larissa Margareta Batrancea, Lucian Gaban

“…These findings demonstrate that FTE uncovers nuanced dynamics overlooked by methods focusing solely on either current events or deep-rooted patterns. Although the method relies on price returns and does not differentiate specific shock types, it offers a versatile tool for investors, policymakers, and researchers to gauge financial stability, evaluate contagion risk, and better understand how ephemeral signals and historical legacies jointly govern global market connectivity.…”
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Strategies to Improve the Robustness and Generalizability of Deep Learning Segmentation and Classification in Neuroimaging by Anh T. Tran, Tal Zeevi, Seyedmehdi Payabvash

“…The extracted data were analyzed to evaluate the implementation and effectiveness of these techniques. …”
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Pose estimation for health data analysis: advancing AI in neuroscience and psychology by Juan Yu, Daoyu Zhu

“…IntroductionThe integration of artificial intelligence (AI) with health data analysis offers unprecedented opportunities to advance research in neuroscience and psychology, particularly in extracting meaningful patterns from complex, heterogeneous, and high-dimensional datasets. …”
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Enhancing EFL Speaking Skills with AI-Powered Word Guessing: A Comparison of Human and AI Partners by Mondheera Pituxcoosuvarn, Midori Tanimura, Yohei Murakami, Jeremy Stewart White

“…Qualitative analysis of the gameplay transcripts further revealed contrasting interactional patterns: AI partners elicited more structured interactions whereas human partners prompted more spontaneous and variable interactions. …”
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An application of nowcasting methods: Cases of norovirus during the winter 2023/2024 in England. by Jonathon Mellor, Maria L Tang, Emilie Finch, Rachel Christie, Oliver Polhill, Christopher E Overton, Ann Hoban, Amy Douglas, Sarah R Deeny, Thomas Ward

“…These models were evaluated over weekly nowcasts using a probabilistic scoring framework.…”
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Size Effects on Process-Induced Porosity in Ti6Al4V Thin Struts Additively Manufactured by Laser Powder-Bed Fusion by Nismath Valiyakath Vadakkan Habeeb, Kevin Chou

“…Micro-scaled computed tomography and image analysis were employed for porosity measurements and evaluations. Generally, keyhole porosity lessens with decreasing energy density, though with varying patterns across a higher energy density range. …”
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Research on Detection Methods for Gas Pipeline Networks Under Small-Hole Leakage Conditions by Ying Zhao, Lingxi Yang, Qingqing Duan, Zhiqiang Zhao, Zheng Wang

“…However, existing methods often fail to effectively model the time-varying structural data of pipelines, limiting their detection capabilities. …”
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Rumor detection using dual embeddings and text-based graph convolutional network by Barsha Pattanaik, Sourav Mandal, Rudra M. Tripathy, Arif Ahmed Sekh

“…Their success is due to their ability to identify structural patterns in rumors and effectively use neighborhood information. …”
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Gender Preference in Doctor Selection on Telemedicine: Patient Trust and Comfort Analysis by Muhammad Rio Fariza, Tita Melia Milyane, Muhammad Al Assad Rohimakumullah

“…Experience, patient evaluations, and communication approaches shape patient trust. …”
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