Mathematical simulation of the processes of two-beam laser controlled thermal-splitting of quartz glass by V. A. Emelyanov, E. B. Shershnev, S. I. Sokolov, A. N. Kupo

“…The simulation results show that with a bi-beam effect, the micromechanical stresses necessary for the formation of a microcrack are realized in shorter time intervals, both on the surface and in the depth of the material, which allows increasing the processing speed by up to 30 %. Strengthening control over the process of controlled thermal cracking can significantly reduce the percentage of defects and improve the quality of the resulting microeletronics products.…”
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A Novel Model for Optimizing Roundabout Merging Decisions Based on Markov Decision Process and Force-Based Reward Function by Qingyuan Shen, Haobin Jiang, Aoxue Li, Shidian Ma

“…It simplifies the state space using relative distance and speed and defines three action profiles based on real traffic data to replicate human-like driving behavior. …”
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Analyzing meteorological risks to highway infrastructure in Saskatchewan by Monirul Islam, Golam Kabir, Muhammad Rehan Anis

“…However, its sustainability is increasingly challenged by meteorological hazards. This study conducts a detailed spatial risk assessment of Saskatchewan’s major highways by analyzing six climate-related factors: flood-prone areas, precipitation mm d ^−1 ), snowfall (cm d ^−1 ), extreme temperatures (minimum and maximum in °C), and wind (maximum gust speed in km h ^−1 ). …”
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CALCULATION OF THE FLAT BENDING SHAPE STABILITY OF RECTANGULAR CROSS SECTION BEAMS WITH REGARD TO CREEP by I. M. Zotov, A. S. Chepurnenko, S. B. Yazyev

“…When F = F_dl, the displacements grow at a constant speed, and when F> F_dl, the growth rate of displacements increases with time. …”
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Advanced Cooperative Formation Control in Variable-Sweep Wing UAVs via the MADDPG–VSC Algorithm by Zhengyang Cao, Gang Chen

“…UAV technology is advancing rapidly, and variable-sweep wing UAVs are increasingly valuable because they can adapt to different flight conditions. …”
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Deep Reinforcement Learning-Based Anti-Jamming Approach for Fast Frequency Hopping Systems by Sixi Cheng, Xiang Ling, Lidong Zhu

“…Increasing the hopping frequency speed and integrating artificial intelligence (AI) technologies are currently two of the most effective strategies for enhancing the anti-jamming performance of frequency hopping (FH) systems. …”
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A Probe into the Evolution of Primordial Perturbations in the <i>f</i>(<i>T</i>) Gravity Framework with Chaplygin Gas by Sanjeeda Sultana, Surajit Chattopadhyay, Antonio Pasqua

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Location- and feature-based selection histories make independent, qualitatively distinct contributions to urgent visuomotor performance by Emily E Oor, Emilio Salinas, Terrence R Stanford

“…Attention mechanisms guide visuomotor behavior by weighing physical salience and internal goals to prioritize stimuli as choices for action. Although less well studied, selection history, which reflects multiple facets of experience with recent events, is increasingly recognized as a distinct source of attentional bias. …”
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Wind Performance of New and Existing Continuous Beam Bridges During Construction Stages by Fulin Yang, Xinmin Zhang, Zeen Xie, Jianming Hao

“…These results provide actionable guidelines for wind risk mitigation through construction sequencing and real-time wind speed restrictions.…”
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Evolution and mitigation strategies of online public opinion: An analysis using an improved replicator dynamic three-party game model. by Jiadong Chen, Jie Xin, Wan Ni

“…However, when only the government's suppressive influence increases ([Formula: see text]), convergence is slower and displays diminishing returns. …”
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Dual-Priority Delayed Deep Double Q-Network (DPD3QN): A Dueling Double Deep Q-Network with Dual-Priority Experience Replay for Autonomous Driving Behavior Decision-Making by Shuai Li, Peicheng Shi, Aixi Yang, Heng Qi, Xinlong Dong

“…The test results show that DPD3QN helps to improve the convergence speed of driverless vehicle behavior decision-making. …”
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The role of agentic AI in shaping a smart future: A systematic review by Soodeh Hosseini, Hossein Seilani

“…Artificial intelligence (AI), particularly Agentic AI, is increasingly critical for addressing the demand for speed, efficiency, and customer focus in modern organizations. …”
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Enhancing Cybersecurity of a Hydroelectric Power Plant Through Digital Twin Modeling and Explainable AI by Ismail Erkek, Erdal Irmak

“…Hydroelectric power plants (HEPPs) are vital components of the renewable energy infrastructure, making their operational security and efficiency critical. HEPPs face increasing vulnerability to cyber threats, which can disrupt operations and compromise energy production. …”
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MATHEMATICAL MODEL OF THE PIERCING MECHANISM by V.N. Kitaev, R.L. Afanasyev, M.V. Petrov

“…Major feature of developed design of the piercing mechanism to differ it from similar devices is use of magnetic system, increasing the speed of striker acceleration at the end of its travel thanks to additional acceleration of the striker by the magnet system. …”

Simulation of mixed flow characteristics of distiller′s grains-wastewater for anaerobic fermentation by Beibei YAN, Xiaoyun LIU, Shengquan ZHOU, Guanyi CHEN, Ziqiang ZHANG, Yonggang ZHANG

“…The simulation results showed that the slurry inside the curved blade at the top of the rotor reached a maximum velocity of 48.06 m/s and gradually decreased to zero along the radial direction. Due to the rotor's high-speed rotation, a high-pressure zone and a low-pressure zone were formed on each side of the rotor, with a maximum working pressure of 0.306 MPa. …”
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Dynamic Characterization and Parametric Optimization of Secondary Cushioned Pump Valves in Drilling Systems: A 3D Transient Fluid–Structure Interaction Study by Yi Wu, Yongjun Hou

“…Parametric studies reveal structural dominance, with increases in cylindrical spring stiffness lowering discharge valve lift by 7.2% and velocity amplitude by 2.74%, while wave spring optimization (24% stiffness enhancement) eliminates pressure decay and reduces perturbations by 90%. …”
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ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events by Aizaz Sharif, Dusica Marijan

“…The results show substantial increases in failure events compared to the standard behavior of autonomous vehicles: 35&#x0025; in vehicle collisions, 23&#x0025; in road object collisions, 48&#x0025; in pedestrian collisions, and 50&#x0025; in off-road steering events. …”
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Impacts of Online Banking on Customer Satisfaction in Commercial Banks in the 2nd District of Albay by Laurence Bernadette Abapo

“…It also aimed to formulate recommendations and an action plan for online banking services to enhance customer satisfaction. …”
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Feedrate Fluctuation Minimization for NURBS Tool Path Interpolation Based on Arc Length Compensation and Iteration by Xing Liu, Pengxin Yu, Haiduo Chen, Bihui Peng, Zhao Wang, Fusheng Liang

“…In the interpolation cycle, the position of the next interpolation point is required to be calculated in real-time to guide the action of the machining process. Due to the existence of the positioning error of the interpolation point, it is extremely difficult to eliminate the feedrate fluctuation, which may lead to dramatic decreases in machining quality and the driving capabilities’ saturation of each axis. …”
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Experimental Study on the Influence Patterns of Buildings Displaced and Buried by Debris Flow by FENG Lei, SONG Dongri, CHEN Xiaoqing, LIU Jia, CHEN Qian, LIU Yunhui

“…The experimental sensors included ultrasonic sensors, three-axis force sensors, and pore water pressure sensors, along with high-speed cameras for observing the displacement process. …”
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