Insights into the Estimation of the Enhanced Thermal Conductivity of Phase Change Material-Containing Oxide Nanoparticles using Gaussian Process Regression Method by Tzu-Chia Chen, Hasan Sh. Majdi, Aras Masood Ismael, Jamshid Pouresmi, Danial Ahangari, Saja Mohammed Noori

“…It is critical to accurately estimate the TC of nano-PCM to assess heat transfer during phase transition processes, namely, solidification and melting. Here, we propose Gaussian process regression (GPR) strategies involving four various kernel functions (KFs) (including exponential (E), squared exponential (SE), rational quadratic (RQ), and matern (M)) to predict TC of n-octadecane as a PCM. …”
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Decomposing decision mechanisms in female substance use disorder: drift diffusion modeling of context-dependent biases in gain and loss processing by Hao Zhang, Gavin Kader, Huoyin Zhang, Haijian Zhao, Wanke Pan, Peng Lei

“…Conclusions This study reveals distinct context-dependent decision biases in female SUD, characterized by computational signatures that differ markedly between gain and loss domains. …”
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VSG-FC: A Combined Virtual Sample Generation and Feature Construction Model for Effective Prediction of Surface Roughness in Polishing Processes by Dapeng Yang, Shenggao Ding, Lifang Pan, Yong Xu

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opstool: A Python library for OpenSeesPy analysis automation, streamlined pre- and post-processing, and enhanced data visualization by Yexiang Yan, Yazhou Xie

“…This paper presents opstool, a Python package designed to enhance the pre- and post-processing capabilities of OpenSees and OpenSeesPy. …”
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Summarization, Prediction, and Analysis of Turkish Constitutional Court Decisions With Explainable Artificial Intelligence and a Hybrid Natural Language Processing Method by Tulay Turan, Ecir Ugur Kucuksille

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Influence of Selective Laser Melting Process and Heat Treatment Parameters on the Corrosion Resistance of 17-4 Precipitation Hardening Stainless Steel by Anas Kerbout, Ayoub Tanji, Hendra Hermawan, Noureddine Barka

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Non-Linear Control and Numerical Analysis Applied in a Non-Linear Model of Cutting Process Subject to Non-Ideal Excitations by Angelo M. Tusset, Jonierson A. Cruz, Jose M. Balthazar, Maria E. K. Fuziki, Giane G. Lenzi

“…This work presents a non-linear mathematical model of a machining system subjected to a non-ideal vibration source. Computer simulations have shown chaotic behavior for specific parameters of the proposed mathematical model. …”
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A Review of Needle Navigation Technologies in Minimally Invasive Cardiovascular Surgeries—Toward a More Effective and Easy-to-Apply Process by Katharina Steeg, Gabriele Anja Krombach, Michael Horst Friebe

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Crucial heat damage analysis and optimization of a mid-sized pickup truck based on a deep Gaussian process model by Zebin Zhang, Sisi Liu, Xianzong Meng, Tingting Wang, Shizhao Jing, Chuanrui Wang, Dongchen Qin

“…Based on simulation results, a multi-objective two-layer deep Gaussian process model predicted heat source temperatures. …”
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Comparative analysis of analytical hierarchy process (AHP) and frequency ratio (FR) models for landslide susceptibility mapping in Reshun, NW Pakistan by Mukhtar S. Ahmad, MonaLisa, Saad Khan

“…A frequency ratio (FR) coupled with the analytical hierarchy process (AHP) has been used in conjunction with geographical information system (GIS) to make a susceptibility map of the potential landslides in Reshun. …”
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FEM Analyses for T-H-M-M Coupling Processes in Dual-Porosity Rock Mass under Stress Corrosion and Pressure Solution by Yu-Jun Zhang, Chao-Shuai Yang, Gang Xu

“…Aiming at a hypothetical model for geological disposal of nuclear waste in an unsaturated rock mass from which there is a nuclide leak, two computation conditions were designed. Then the corresponding two-dimensional numerical simulation for the coupled thermo-hydro-mechanical-migratory processes were carried out, and the states of temperatures, rates and magnitudes of aperture closure, pore and fracture pressures, flow velocities, nuclide concentrations and stresses in the rock mass were investigated. …”
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Increasing the Classification Achievement of Steel Surface Defects by Applying a Specific Deep Strategy and a New Image Processing Approach by Fatih Demir, Koray Sener Parlak

“…Thus, in this study, we proposed a novel deep learning-based flaw detection system with an industrial focus on automated steel surface defect identification. To create processed images from raw steel surface images, a novel method was applied. …”
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Robustimizer: A graphical user interface application for efficient uncertainty quantification, robust optimization, and reliability-based optimization of processes and designs by Omid Nejadseyfi

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Numerical Study of Air Cushion Effect in Notched Disk Water Entry Process Using Structured Arbitrary Lagrangian–Eulerian Method by Zhe Zhang, Nana Yang, Jinlong Ju, Xingzhi Bai, Houcun Zhou, Wenhua Wu

“…Unlike prior studies that focused on smooth or unnotched geometries, the present study explores how varying notch parameters influence the fluid–solid coupling process during high-speed water entry. The reliability and accuracy of the computational method are validated through grid independence verification and comparisons with experimental data and empirical formulas. …”
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A new approach for processing defect-free hot-work tool steels: Quasi-isothermal laser powder bed fusion by Ulf Ziesing, Leon Engelhardt, Santiago Benito, Martin Reuber, Tobias Schwanekamp, Sebastian Weber, Jonathan Lentz

“…Powder-Bed-Fusion Laser-Beam/Metal (PBF-LB/M) enables the production of complex geometries with high design freedom. However, processing martensitic tool steels by Additive Manufacturing (AM) is challenging due to the risk of cold cracking during martensitic transformation. …”
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Dynamic control of a 10 MW solar-autothermal hybrid biomass gasifier for round-the-clock processing with stable syngas production by Axel Curcio, Sylvain Rodat, Valéry Vuillerme, Stéphane Abanades

“…The feasibility of dynamic control of a solar-autothermal biomass gasifier was successfully demonstrated for the determination of annual process performance with reasonable computational costs, paving the way to stable and controllable solar gasification process operation.…”
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Exploring Zinc C295 as a Dual HIV-1 Integrase Inhibitor: From Strand Transfer to 3′-Processing Suppression by Sharif Karim Sayyed, Marzuqa Quraishi, D. S. Prabakaran, Balaji Chandrasekaran, Thiyagarajan Ramesh, Satish Kumar Rajasekharan, Chaitany Jayprakash Raorane, Tareeka Sonawane, Vinothkannan Ravichandran

“…This study explores its potential to also inhibit 3′-processing (3′P), thereby establishing its dual-targeting capability. …”
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A Hybrid Fault Detection Method of Independent Component Analysis and Auto-Associative Kernel Regression for Process Monitoring in Power Plant by Seunghwan Jung, Jonggeun Kim, Sungshin Kim

“…In complex industrial processes, distributed control systems (DCSs) are currently operated to prevent unplanned shutdowns and major accidents. …”
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Wind Farm Power Maximisation via Wake Steering: A Gaussian Process‐Based Yaw‐Dependent Parameter Tuning Approach by Filippo Gori, Sylvain Laizet, Andrew Wynn

“…However, these approaches determine a fixed set of parameters prior to conducting wake steering, neglecting each parameter's dependency on yaw misalignment (i.e. the optimisation variables) exhibited throughout the optimisation process, potentially affecting its accuracy. To address this limitation, this paper introduces a novel data‐driven parameter tuning approach that integrates higher fidelity power measurements using Gaussian processes to continuously adapt parameters in lower fidelity wake models based on the current farm's yaw configuration. …”
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Enhancement of Additive Manufacturing Processes for Thin-Walled Part Production Using Gas Metal Arc Welding (GMAW) with Wavelet Transform by Abolfazl Foorginejad, Siamak Khatibi, Hojjat Torshizi, Sayyed Mohammad Emam, Hossein Afshari

“…Additive manufacturing encompasses technologies that produce three-dimensional computer-aided design (CAD) models through a layer-by-layer production process. …”
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