Predicting Wear Rate and Friction Coefficient of Li₂Si₂O₅ Dental Ceramic Using Optimized Artificial Neural Networks by Marko Pantić, Saša Jovanović, Aleksandar Djordjevic, Suzana Petrović Savić, Milan Radenković, Živče Šarkoćević

“…Traditional experimental approaches, while accurate, are often resource intensive and time consuming, prompting a need for efficient computational methods. This study explores the application of artificial neural networks (ANNs) to predict the tribological behavior of dental ceramic lithium disilicate (IPS e.max Cad). …”
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Possibilities of using immersive learning based on abstract highly formalized mathematical models for training future mathematics teachers by Valentina A. Matveeva, Olga Yu. Zaslavskaya

“…“Observing” an abstract highly formalized mathematical model is a complex dynamic process that is consistent with its behavior in real-world processes, although these processes are not always possible to visualize. …”
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Deterministic Asynchronous Threshold-Based Opinion Dynamics in Signed Weighted Graphs by Miriam Di Ianni

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Teacher Collaboration Praxis: Conflicts, Borders, and Ideologies From a Micropolitical Perspective by Nancy Keranen, Fátima Encinas Prudencio

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From LLMs to Randomness: Analyzing Program Input Efficacy With Resource and Language Metrics by Gavin Black, Eric Yocam, Varghese Mathew Vaidyan, Gurcan Comert, Yong Wang

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Factors Affecting Personal Information Sharing: Small-Scale Sample Analysis on Social Media by Belia Rida Syifa Fauzia, Lukman Yudokusumo, Yova Ruldeviyani

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Modeling airflow dynamics in solar drying chambers: a comprehensive review of CFD applications by Halefom Kidane, Istvan Farkas, Janos Buzás

“…Abstract Computational fluid dynamics (CFD) plays a critical role in analyzing the detailed internal processes and behavior of airflow dynamics within drying systems. …”
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Small group collaboration in hybrid university learning: Comparing learners’ perceived socio-affective state in hybrid, face-to-face and remote collaboration by Sabine Schermeier, Anne Deiglmayr, Nikol Rummel

“…Computers in Human Behavior Reports…”
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Thermo-mechanical-fluid coupled modeling for residual stress prediction in thick plate welding by Yonghui Su, Haitao Xia, Shuo Chen, Chen Wang, Shuaiyu Wu, Wei Lu, Jun Zhu, Hao Wu

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Novel control strategies for electric vehicle charging stations using stochastic modeling and queueing analysis by Shreekant Varshney, Kaibalya Prasad Panda, Manthan Shah, Bhasuru Abhinaya Srinivas, Ankit Deshmukh, Kapil Kumar Choudhary, Mohit Bajaj, Lukas Prokop, Olena Rubanenko

“…Abstract This study presents a comprehensive analytical framework for modeling electric vehicle (EV) charging infrastructures through a stochastic queueing-theoretic approach that explicitly incorporates critical customer behavioral dynamics. The proposed model addresses key phenomena often overlooked in classical frameworks, including customer impatience (reneging), balking behavior, feedback mechanisms, and state-dependent service threshold policies, within a finite-population, multiple-server environment. …”
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Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-Seq Data Analysis by Zhenyi Zhang, Yuhao Sun, Qiangwei Peng, Tiejun Li, Peijie Zhou

“…Understanding the dynamic nature of biological systems is fundamental to deciphering cellular behavior, developmental processes, and disease progression. …”
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The Effect of Barrel Configurations on the Porosity During HVAF Thermal Spray Ni-Based Amorphous Coatings: Numerical Simulation and Experiment by Nianchu Wu, Tingting Li, Xiaotian Su

“…The relationship between barrel configurations and porosity of a Ni-based amorphous coating (AM) that is fabricated using a high-velocity air fuel (HVAF) process was revealed by both numerical and experimental methods. A computational fluid dynamics model was applied to investigate the gas-flow field and the behavior of in-flight particles with various barrel configurations. …”
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An analytical investigation of the Van Der Waals gas system: Dynamics insights into bifurcation, optical pattern along with sensitivity and chaotic analysis by Muhammad Moneeb Tariq, Muhammad Aziz-ur-Rehman, Muhammad Bilal Riaz

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Differential Mechanism of 3D Motions of Falling Debris in Tunnels Under Extreme Wind Environments Induced by a Single Train and by Trains Crossing by Wei-Chao Yang, Hong He, Yi-Kang Liu, Lun Zhao

“…To systematically investigate the aerodynamic differences and underlying mechanisms governing falling debris behavior under these two distinct conditions, a three-dimensional computational fluid dynamics (CFD) model (debris–air–tunnel–train) was developed using an improved delayed detached eddy simulation (IDDES) turbulence model. …”
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Identification of truncation frequencies for BIW structures based on modal contribution analysis by Feitan Peng, Huabin Li, Fuwu Yan, Junyi Ye

“…Results demonstrate that the approach can significantly reduce computational cost while maintaining high accuracy in low-frequency modal behavior, making it well-suited for engineering applications requiring a balance between precision and efficiency.…”
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Programming and Setting Up the Object Detection Algorithm YOLO to Determine Feeding Activities of Beef Cattle: A Comparison between YOLOv8m and YOLOv10m by Pablo Guarnido-Lopez, John-Fredy Ramirez-Agudelo, Emmanuel Denimal, Mohammed Benaouda

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On a Stable Multiplicative Calculus-Based Hybrid Parallel Scheme for Nonlinear Equations by Mudassir Shams

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Big data analysis on flow characteristics according to welded penetration locations for fire sprinkler piping system design by Joo Hyun Moon, Jae Heon Gu, Dong Kyu Kim, In Woo Jang

“…This study presents a big data-driven computational fluid dynamics (CFD) analysis of Tee‐type fire sprinkler pipelines, focusing on how different weld penetration depths affect flow behavior and overall system performance. …”
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MetaLo: metabolic analysis of Logical models extracted from molecular interaction maps by Aghakhani Sahar, Niarakis Anna, Soliman Sylvain

“…MetaLo provides a framework to study the impact of signaling cascades, gene regulation processes, and metabolic flux distribution of central energy production pathways. MetaLo computes the Boolean model’s asynchronous asymptotic behavior, through the identification of trap-spaces, and extracts metabolic constraints to contextualize the generic metabolic network. …”
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Urban pulse: measuring pace of life through public camera-based cadence analysis by Pei-Yu Ho, Ming-Kuang Chung, Ling-Jyh Chen

“…This data collection and analysis approach is non-invasive, preserving pedestrians’ natural behavior, thereby enhancing data authenticity and reliability. …”
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