Leveraging Grammarware for Active Video Game Development by Matej Črepinšek, Tomaž Kosar, Matej Moravec, Miha Ravber, Marjan Mernik

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Research on Structural Mechanics Stress and Strain Prediction Models Combining Multi-Sensor Image Fusion and Deep Learning by Yifeng Shan, Mengzhe Zhen, Heinz D. Fill

“…These limitations necessitate a more robust computational framework capable of addressing material variability and computational efficiency challenges. …”
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SymbolNet: Bridging Latent Neural Representations and Symbolic Reasoning via Intermediate Feature Interpretation by Sungheon Jeong, Hyungjoon Kim, Yoojeong Song

“…This symbolic decoding bridges the model’s internal computations with human cognitive understanding, enabling structured and meaningful interpretation of AI behavior. …”
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Introduction to the Special Thematic Issue "Virtual Reality and Eye Tracking" by Béatrice Hasler, Rudolf Groner

“…The combination of eye tracking and VR creates new opportunities for end users, creators, and researchers alike: The high level of immersion – while shielded from visual distractions of the physical environment – leads to natural behavior inside the virtual environment. This enables researchers to study how humans perceive and interact with three-dimensional environments in experimentally controlled, ecologically valid settings. …”
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Estimation of Maneuvering Coefficients of the KCS Using Captive Model Test Simulations in the OpenFOAM Framework by Minsu Cho, Theo Descamps, Benjamin Bouscasse, Young-Myung Choi

“…With increasing ship sizes and complex operating conditions, more advanced computational tools are increasingly required. In this study, an OpenFOAM-based in-house solver called foamStar was validated for predicting the hydrodynamic maneuvering behavior of the KRISO Container Ship. …”
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Modeling the inside defect of the jet cavitator by A. I. Ukolov, V. P. Rodionov

“…A further defect increase results in a total suppression of the cavitation flow, but maintains its dynamic behavior. The obtained results contribute to the improvement of the hydrodynamic cavitators design, to the enhancement of their erosive impact with the use of cavitation for cleaning underwater structures and mechanisms.…”
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Can we improve academic performance and student satisfaction without additional time cost for teachers? Evidence from a blended methodology in Microeconomics by Anett Erdmann, Alfonso Jesús Torres Marín

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Multi-Objective Evolution and Swarm-Integrated Optimization of Manufacturing Processes in Simulation-Based Environments by Panagiotis D. Paraschos, Georgios Papadopoulos, Dimitrios E. Koulouriotis

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A novel framework for fluid/structure interaction in rapid subject specific simulations of blood flow in coronary artery bifurcations by Blagojević Milan, Nikolić Aleksandar, Živković Miroslav, Živković Milorad, Stanković Goran

“…Practical difficulties, particularly long model development time, have limited the types and applicability of computational fluid dynamics simulations in numerical modeling of blood flow in serial manner. …”
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Extensive electronic investigation of BMBH structure and adsorption locator on graphene with molecular dynamics of human serum albumin interaction by Walaa S. S. Alblozy, Doaa S. El Sayed, Refaat M. Mahfouz

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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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Effects of position of semi-circular body on melting of a novel B4C/RT44HC PCM nanocomposite in a closed space by Ezgi Gurgenc, Muhammed Gur, Hakan Cosanay, Turan Gurgenc, Hakan F. Oztop

“…The primary objective is to determine how the position of these adiabatic bodies influences the melting behavior, thermal conductivity, and energy storage capacity of the PCM. …”
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Development of Deep Learning Simulation and Density Functional Theory Framework for Electrocatalyst Layers for PEM Electrolyzers by Jaydev Zaveri, Shankar Raman Dhanushkodi, Michael W. Fowler, Brant A. Peppley, Dawid Taler, Tomasz Sobota, Jan Taler

“…The DFT-DLS framework robustly calculates potential energy and reaction coordinates, effectively bridging theoretical computations with the dynamic behavior of molecules in catalyst layers. …”
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Experimental and numerical study of bubbly flow and bubble size distribution produced by swirling flow bubble generator by Hilman Syaeful Alam, Muhammad Imam Arif, Tubagus Ahmad Fauzi Soelaiman, Priyono Sutikno, Anto Tri Sugiarto, Asep Yusuf

“…The kinetic energy and pressure changes affected the bubble behavior in the swirl chamber. However, for a more detailed analysis of bubble interactions, high-resolution models such as the Eulerian-Lagrangian approach are required in further studies.…”
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Analytical and Numerical Methods for Circumbinary Disk Dynamics. II. Inclined Disks by Michal Pirog, Siddharth Mahesh, Sean T. McWilliams

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Aerodynamic analysis and ANN-based optimization of NACA airfoils for enhanced UAV performance by Sanan H. Khan, Mohd Danish, Md. Ayaz, Afsar Husain, Shamma Saeed, Shamma Abdulla, Shama Shaheen, Alia Saeed, Ahmed Thaher

“…Overall, this study highlighted the potential of combining computational techniques and machine- learning models to optimize UAV airfoil designs. …”
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A hybrid approach for pattern recognition and interpretation in age-related false memory by Noorbakhsh Amiri Golilarz, Elias Hossain, Shahram Rahimi, Hossein Karimi

“…Additionally, the modified LightGBM was integrated with a language model to enhance interpretability.ResultsThe findings revealed that younger adults benefited from target encoding time during reading, which helped them correctly reject misleading information (lures), whereas older adults were more vulnerable to inference caused by semantic similarity.DiscussionThese results offer important insights into the mechanisms of false memory in aging populations and demonstrate the utility of hybrid computational methods in uncovering behavioral patterns related to memory decline. …”
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Transdiagnostic Anxiety-Related Increases in Information Sampling are Associated With Altered Valuation by Amy M. Rapp, Brandon K. Ashinoff, Seth Baker, H. Blair Simpson, Guillermo Horga

“…Next, a parameterized partially observable Markov decision process model was used to parse the contribution of value-based decisions to sampling behavior and included a relative subjective cost parameter, Csub, for each bead-ratio condition. …”
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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid, Md. Mosarrof Hossen, Mohammad Nashbat, Mazhar Hasan-Zia, Ali K. Ansaruddin Kunju, Amith Khandakar, Azad Ashraf, Molla Ehsanul Majid, Saad Bin Abul Kashem, Muhammad E. H. Chowdhury

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