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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Enhanced Pool Boiling via Binder-Jetting 3D-Printed Porous Copper Structures: CHF and HTC Investigation by Lilian Aketch Okwiri, Takeshi Mochizuki, Kairi Koito, Noriaki Fukui, Koji Enoki

“…Subsequently, a gradual decline in heat flux was observed with an increasing wall superheat, demonstrating an outstanding resistance to the boiling crisis. …”
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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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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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Technologic Considerations of Creation Dosage Form of Original Substance 3,7-diazabicyclo[3.3.1]nonane by G. E. Brkich, N. V. Pyatigorskaya, O. A. Zyryanov, N. B. Demina, E. O. Bakhrushina, I. I. Krasnyuk

“…The study of the «Dissolution» test of gelatinous and hypromellose capsules was carried out on an ERWEKA DT 720 «Paddle stirrer» apparatus at a stirrer rotation speed of 50 rpm in three media: pH 1.2, pH 4.5 and pH 6.8. …”
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Re-use of Building Products in the Netherlands by Loriane Icibaci

“…These characteristics indicated to influence (increase) housing survivability. Especially in the West, where most activities in the national housing stock are concentrated, the increase of private single-family houses influences overall housing survivability in the Netherlands (particularly when the pre-1946 group gradually decreases). …”
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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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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. …”

Biphasic effects of Callicarpa nudiflora water extract on rumen fermentation in vitro and microbial communities in sheep by Wanqin Yang, Wanqin Yang, Runhang Li, Wenxi Wang, Kunna Li, Yiying Huang, Ying Ying, Yuning Liu, Hongxin Wu

“…The flasks were incubated at 39°C for 24 hours in water with a rotation speed of 80 r/min.ResultsIt showed that adding CW significantly affected in vitro rumen fermentation in sheep and displayed a biphasic action: The supplementation levels of 4 g/kg and 6 g/kg showed an improvement in the fermentation status and nitrogen utilization efficiency with the enhanced microbial protein concentration from 1.98 mg/mL (Con) to 2.84 mg/mL (P &lt; 0.001) and the relative abundance of total bacteria from 4.05 (Con) to 5.27 (P &lt; 0.001); When the dose surpassed 14g/kg, the decline in the hemicellulose degradation rate from 63.00% (Con) to 40.24% (P &lt; 0.001), accompanied by an increase in ammonia-nitrogen (NH3−N) concentration from 173.37 mg/L (Con) to 177.46 mg/L (P = 0.020) and total gas production from 154.87 mL/g (Con) to 161.47 mL/g (P =0.007), signaled abnormal alterations in the fermentation process.Conclusions The optimal supplementation range in feed formulations was established as 4−6g/kg, showing that CW could serve as a natural rumen modulator for sheep. …”
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Integration of Hash Encoding Technique with Machine Learning for Employee Turnover Prediction by Ahya Radiatul Kamila, Johanes Fernandes Andry, Francka Sakti Lee, Felliks F. Tampinongkol

“…Employee turnover refers to the replacement of employees within an organization, which can lead to losses such as recruitment costs and decreased productivity. Predicting turnover is crucial for companies to anticipate and take appropriate actions to retain potential employees. …”
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UAV spatiotemporal crowdsourcing resource allocation based on deep reinforcement learning by Yaxi LIU, Xulong LI, Jiahao HUO, Wei HUANGFU

“…However, the complexity of allocating spatiotemporal crowdsourcing resources to UAVs is notable owing to numerous decision variables, which increase linearly with the duration of the service. …”
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The influence of the chosen method of anesthesia on the severity of postoperative cognitive dysfunction in patients with ophthalmic surgery by G.S. Dorofeeva

“…The function of short-term memory, attention function, and the speed of psychomotor cognitive reactions are the most vulnerable to the action of general anesthetics. …”
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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

“…These findings provide actionable insights for optimizing high-pressure pump systems through hysteresis control and parametric adaptation.…”
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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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Research and development of material feeder of drum type shredder by V. I. Zenikov

“…Transportation is carried out owing to action of centrifugal forces of the crushing drum and the air stream created by it. …”
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