Characterization and modeling of laser transmission welded polyetherketoneketone (PEKK) joints: Influence of process parameters and annealing on weld properties by Marcela Matus-Aguirre, Benoît Cosson, Christian Garnier, Fabrice Schmidt, André Chateau Akué-Asséko, France Chabert

“…The depths of the molten layer (ML) and semi-crystalline layer (scL) vary with laser power and assembly type. …”
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Knot-TPP: A Unified Deep Learning Model for Process Incidence and Tool Wear Monitoring in Stacked Drilling by Jiduo Zhang, Robert Heinemann, Otto Jan Bakker

“…The proposed model achieves a process incidence identification accuracy of 99.19% and a Mean Absolute Error (MAE) of 10 μm in tool wear prediction, demonstrating robust performance across a wide range of sampling conditions. …”
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Influence of the design concept of an experimental demonstration model of a rocket design element on the process of heat and mass transfer by V. I. Trushlyakov, Yu. V. Surikova, D. Yu. Davydovich

“…A conceptual design of an experimental demonstration model of three-layer structure of a launch vehicle body is proposed, based on the replacement of aluminum honeycomb filler with an energy-related material, in particular, based on composite solid rocket propellants. …”
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ATT-BLKAN: A Hybrid Deep Learning Model Combining Attention is Used to Enhance Business Process Prediction by Junyi Xu, Xianwen Fang

“…This is achieved by enhancing the BiLSTM model’s ability to capture long-term dependencies through the addition of Agent Attention, while utilising KAN in place of the traditional Multi-Layer Perceptron (MLP) to improve prediction performance and mechanism interpretability. …”
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Oxidative Dissolution of Sulfide Minerals in Porous Media Under Evaporative Conditions: Multiphase Experiments and Process‐Based Modeling by Navid Ahmadi, Muhammad Muniruzzaman, Jacopo Cogorno, Massimo Rolle

“…We investigate the oxidative dissolution of pyrite under evaporative conditions and advance a mechanistic understanding of the interactions between multiple physical processes and mineral/surface reactions. We performed a set of experiments in which initially water saturated and anoxic soil columns, containing a top layer of pyrite, are exposed to the atmosphere under no evaporation (single‐phase) and natural evaporative (two‐phase) conditions. …”
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Establishment of a Numerical Model and Process Optimization for the Moving Induction Hardening of a Whole-Roll Flatness Roll by Huaxin Yu, Shuang Liao, Zhichao Li, Ziwei Xu, Shan Li

“…The calculated hardness value of the roll surface in the simulation model reaches 950 HV, which agrees well with the experimental hardness results, validating the ability of the numerical model to guide specific processes.…”
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A stacked ensemble model for traffic conflict prediction using emerging sensor data by Bowen Cai, Léah Camarcat, Nicolette Formosa, Mohammed Quddus

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Hybrid physical model and status data-driven approach for quality-reliable digital light processing 3D printing by Lidong Zhao, Xueyun Zhang, Zhi Zhao, Limin Ma, Lifang Wu

“…Analyzing the collected data provides both status and anomaly information, enabling in-situ repair strategies to address abnormalities with minimal disruption to the printing process. Additionally, an Extended Kalman Filter integrates status data with physical models to dynamically optimise printing parameters. …”
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TSAS—YOLOv8: An Optimization Detection Model for Capturing Small Target Features and Processing Key Information by Yongbo Yuan, Linlin Cao

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Modelling of elastoviscoplastic properties of the subgrade. Problem statement 2 by V. M. Bel’Kov

“…Research of railway embankments in terms of physical and chemical mechanics were conducted discretely, without the creation of a coherent model of stability of layered systems, taking into account all the determining factors. …”
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Modelagem da infiltração em solos com encrostamento superficial. Parte I: modelo GAML para solos estratificados Modelling of the soil water infiltration in crusting soil. Part I: G... by João H. Zonta, Mauro A. Martinez, Fernando F. Pruski, Demetrius D. da Silva, Marcelo R. dos Santos

“…<br>ABSTRACT The aim of this study was to evaluate the Green-Ampt-Mein-Larson (GAML) model and GAML model modified by Moore (1981) for layered soils, in the simulation of water infiltration process in crusting soil. …”
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Nonstationary Equations for the Reaction Layer with the Degenerate Equilibrium Points by Aleksei A. Bykov, Kristina E. Ermakova

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Luffa–Ni/Al layered double hydroxide bio-nanocomposite for efficient ibuprofen removal from aqueous solution: Kinetic, equilibrium, thermodynamic studies and GEP modeling by Soheil Tavassoli, Afsaneh Mollahosseini, Saeed Damiri, Mehrshad Samadi

“…The highest ibuprofen removal occurred at pH 5, with an adsorption capacity of 44.306 mg/g at 298 K. The Temkin isotherm model, which points to chemisorption as the mechanism, accurately depicted the adsorption process with a high correlation coefficient (R2 = 0.984). …”
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Determination of optimal dietary calcium levels under different zinc sources in Jing Tint 6 layer chicks from hatch to day 14 by Chengyan Gong, Hongpeng Shi, Shuan Liu, Xinyi Gao, Shoujun Zhang, Hao Liu, Dan Wan, Yulong Yin

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GoalBERT: A Lightweight Named-Entity Recognition Model Based on Multiple Fusion by Yingjie Xu, Xiaobo Tan, Mengxuan Wang, Wenbo Zhang

“…This reduces the high computational demand caused by stacking multiple self-attention layers while enhancing the model’s ability to process context information. …”
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Contextual Emotional Transformer-Based Model for Comment Analysis in Mental Health Case Prediction by Ayodeji O. J. Ibitoye, Oladosu O. Oladimeji, Olufade F. W. Onifade

“…Mental health (MH) assessment and prediction have become critical areas of focus in healthcare, leveraging developments in natural language processing (NLP). Recent advancements in machine learning have facilitated the exploration of predictive models for MH based on user-generated comments that overlooked the integration of emotional attention mechanisms. …”
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Understanding and designing photothermal responses in complex layered systems by Yide Zhang, Nelson G. C. Astrath, Gustavo V. B. Lukasievicz, Artem S. Vorobev, Liam O’Faolain, Georg Ramer, Bernhard Lendl

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METHOD FOR NUMERICAL MODELING OF UNSTEADY SEPARATED FLOW AROUND AIRFOILS MOVING CLOSE TO FLAT SCREEN by T. V. Pogrebnaya, S. D. Shipilov

“…The algorithm is based on the combination of discrete vortex method and turbulent boundary layer equations. An unsteady flow separation modeling has been used. …”
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Working-memory load decoding model inspired by brain cognition based on cross-frequency coupling by Jing Zhang, Tingyi Tan, Yuhao Jiang, Congming Tan, Liangliang Hu, Daowen Xiong, Yikang Ding, Guowei Huang, Junjie Qin, Yin Tian

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Improving brain tumor classification: An approach integrating pre-trained CNN models and machine learning algorithms by Mohamed R. Shoaib, Jun Zhao, Heba M. Emara, Ahmed S. Mubarak, Osama A. Omer, Fathi E. Abd El-Samie, Hamada Esmaiel

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