Understanding climate-sensitive tick development and diapause with a structured population model by Kamil Erguler, Anastasios Saratsis, Gerhard Dobler, Lidia Chitimia-Dobler

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A Multi-Agent Approach to Modeling Task-Oriented Dialog Policy Learning by Songfeng Liang, Kai Xu, Zhurong Dong

“…Dialogue policy is a critical research area in human-computer interaction, vital for guiding dialogue generation and improving controllability and interpretability. …”
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Modeling the inside defect of the jet cavitator by A. I. Ukolov, V. P. Rodionov

“…The features of the ANSYS Workbench finite-element analysis software package and the integrated optimization module of the development and design process in the domain of the computational fluid dynamics ANSYS CFX are used. …”
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Modeling Air Combat Behavior for Simulation-Based Pilot Training: A Survey of Machine Learning Approaches by Andreas Strand, Patrick Ribu Gorton, Karsten Brathen

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Spiking Cooperative Network Implemented on FPGA for Real-Time Event-Based Stereo System by Jung-Gyun Kim, Donghwan Seo, Byung-Geun Lee

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Utilizing machine and deep learning algorithms to identify learning-related features in electroencephalography data during second language acquisition by Talal A. Aldhaheri, Sonali B. Kulkarni, Pratibha R. Bhise, Mohammed Tawfik

“…The results highlight significant neural activation in the left frontal and temporal lobes, particularly in Broca’s and Wernicke’s areas, when processing second-language stimuli. This study contributes to neurolinguistics by demonstrating how machine learning can effectively classify EEG patterns related to language learning, paving the way for future research on cognitive and computational models of SLA.…”
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A SAM-Based Detection Method for the Distance Between Air-Craft Fire Detection Lines by Mo Chen, Sheng Cheng, Yan Liu, Qifan Yin, Hongfu Zuo

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LEAVES: An open-source web-based tool for the scalable annotation and visualisation of large-scale ecoacoustic datasets using cluster analysis by Thomas Napier, Euijoon Ahn, Slade Allen-Ankins, Lin Schwarzkopf, Ickjai Lee

“…We expect that our proposed tool will greatly accelerate the annotation process when generating high-quality labelled datasets, supporting larger-scale studies with broader community engagement in ecoacoustics research.…”
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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

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Beyond factors that motivate the adoption of the ISO/IEC 29110 in Mexico: An exploratory study of the implementation pace of this standard and the benefits observed by Mirna Muñoz, Jezreel Mejía, Adriana Peña, Claude Y. Laporte, Gloria Piedad Gasca‐Hurtado

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A Style Transfer Method for Chinese Landscape Painting Based on Detail Feature Extraction and Fusion by Jinghao HU, Guohua GENG, Meijun XIONG, Siyi LI, Yuhe ZHANG

“…The visual transformer model provides a new solution for image processing tasks, but its training requires a large amount of data and involves significant computational complexity. …”
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Design optimization methodology of submarine using multilevel numerical CFD models by Mohamad Barhm, Amroune Salah, Miri Rached, Benchekkour Abdellah, Galoyan Karlen

“…This study explores the hydrodynamic and aerodynamic performance of a submarine and an airfoil under various angles of attack (AoA) using advanced computational fluid dynamics (CFD) simulations. The incompressible Reynolds Averaged Navier-Stokes (RANS) equations were solved using ANSYS, leveraging its segregated flow solver and adjoint optimization capabilities to automate the creation and meshing of computational domains. …”
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Enhancing Injection Molding Simulation Accuracy: A Comparative Evaluation of Rheological Model Performance by Markus Baum, Denis Anders, Tamara Reinicke

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A Marginal Maximum Likelihood Approach for Hierarchical Simultaneous Autoregressive Models with Missing Data by Anjana Wijayawardhana, David Gunawan, Thomas Suesse

“…A common practice is introducing measurement error into SAR models to separate the noise component from the spatial process. However, prior studies have not considered incorporating measurement error into SAR models with missing data. …”
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Bullying and cyberbulling in children and adolescents: signs, types, forms, prevention (literature review) by O. L. Moskalenko

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Proteome-wide identification of druggable targets and inhibitors for multidrug-resistant Pseudomonas aeruginosa using an integrative subtractive proteomics and virtual screening ap... by Divya Vemula, Vasundhra Bhandari

“…Through a rigorous, multi-stage process, we excluded human homologs, identified essential proteins, mapped functional pathways, determined subcellular localization, and assessed virulence and resistance factors. …”
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Technological Progress Toward Peanut Disease Management: A Review by Muhammad Asif, Aleena Rayamajhi, Md Sultan Mahmud

“…Recent innovations in computer vision, artificial intelligence (AI), and remote sensing have transformed disease identification and scouting, making the process more efficient and economical. …”
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Linguodidactic potential of metaverse language environments for teaching Russian as a foreign language by Elkhan G. Azimov, Vladimir A. Zhiltsov, Varvara M. Filippova

“…Virtual language environments in metaverses possess several properties inherent to real ones, which enhances students’ motivation and deep engagement in the learning process. This prospectively justifies the expansion of these technologies in distance learning of Russian as a foreign language.…”
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LLaMA 3 vs. State-of-the-Art Large Language Models: Performance in Detecting Nuanced Fake News by Stefan Emil Repede, Remus Brad

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Distinguishing Human Journalists from Artificial Storytellers Through Stylistic Fingerprints by Van Hieu Tran, Yakub Sebastian, Asif Karim, Sami Azam

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