Deep Reinforcement Learning for Real-Time Airport Emergency Evacuation Using Asynchronous Advantage Actor–Critic (A3C) Algorithm by Yujing Zhou, Yupeng Yang, Bill Deng Pan, Yongxin Liu, Sirish Namilae, Houbing Herbert Song, Dahai Liu

“…Emergencies can occur unexpectedly and require immediate action, especially in aviation, where time pressure and uncertainty are high. …”
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Optimization of Remote Backup Protection Coordination Logic Based on Dynamic Identification of Faulty Components in Transmission Grids by LIN Xiangning, JI Jihao, DING Yifan, LI Zhengtian, WENG Hanli

“…The dynamic setting strategy significantly shortens the action delay of remote backup protection， thus considerably enhancing sensitivity and speed. …”
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Optimizing lipase production by Bacillus subtilis on cheese whey and evaluating its antimicrobial, antibiofilm, anti virulence and biosafety properties by Mohamed Y. Abo El-Naga, Muhammad A. Khan, Samah H. Abu-Hussien, Samar M. Mahdy, Ammar AL-Farga, Aml A. Hegazy

“…Using Plackett-Burman and Central Composite Designs (PBD and CCD), whey, peptone, and agitation speed were identified as significant factors, achieving optimal lipase activity of 1314 U/mL and an inhibitory zone diameter (IZD) of 48 mm against S. aureus. …”
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Barriers and Facilitators of the Use of Computerized Critical Care Information Systems in the Intensive Care Unit: Qualitative Interview Study by Alica Thissen, Eduardo Salgado-Baez, Daniel Fürstenau, Renate Delucchi Danhier, Christian Meske, Pauline Kuss, Stefan Angermair, Claudia Spies, Felix Balzer

“…Resistance to using the system may arise from users due to increased control imposed by the system and from insufficient participation in its development and configuration. …”
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Dilemma of Prioritising Health and the Economy During COVID-19 Pandemic in Indonesia by Siti Setiati, Muhammad K Azwar

“…Pandemics also depress economy through decrease in both supply and demand. Data from flu pandemic a century ago suggested the importance of aggressiveness and speed of intervention. …”
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Actor–Critic Reinforcement Learning for Throughput-Optimized Power Allocation in Energy Harvesting NOMA Relay-Assisted Networks by Faeik T. Al Rabee, Ala'Eddin Masadeh, Sharief Abdel-Razeq, Haythem Bany Salameh

“…In fifth-generation (5G) and beyond (B5G) communication systems, the growing number of connected devices and the increased traffic on the network lead to substantial energy consumption, which requires energy-efficient and high-speed communication solutions. …”
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Ellipsoidal-Set Design of Robust and Secure Control Against Denial-of-Service Cyber Attacks in Electric-Vehicle Induction Motor Drives by Ehab H. E. Bayoumi, Hisham M. Soliman, Sangkeum Lee

“…Electric vehicles face increasing cybersecurity threats that can compromise the integrity of their electric drive systems, especially under Denial-of-Service (DoS) attacks. …”
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Postural sway serves as a predictive biomarker in balance and gait assessments for diabetic peripheral neuropathy screening: a community-based study by Yun-Ru Lai, Wen-Chan Chiu, Chi-Ping Ting, Yi-Fang Chiang, Ting-Yin Lin, Hui-Ching Chiang, Chih-Cheng Huang, Cheng-Hsien Lu

“…Participants with DPN demonstrate increased postural sway velocity and total path length, along with reduced gait speed, shorter stride length, and decreased range of motion in hip flexion and extension. …”
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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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Dilemma of Prioritising Health and the Economy During COVID-19 Pandemic in Indonesia by Siti Setiati, Muhammad K Azwar

“…Pandemics also depress economy through decrease in both supply and demand. Data from flu pandemic a century ago suggested the importance of aggressiveness and speed of intervention. …”
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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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Neuroprotective effects of Kapikachhu (Mucuna pruriens) in a paraquat-induced zebrafish model of neurotoxicity relevant to Parkinson's disease by Akshatha Manjunath, Rashmi Kanugodu Vasappa, Manjunatha Bangeppagari

“…Behavioural assessments revealed that Kapikachhu-treated zebrafish exhibited a 30% improvement in mean swimming speed and a 40% increase in dopamine levels compared to PQ-exposed zebrafish. …”
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Density, age and sex structure of goitred gazelle (Gazella subgutturosa) in Golestan National Park by Hossein Varasteh Moradi, Meysam Madadi

“…Conclusion: According to this study conducted on sex and age structure, lambing rate, and density of Gazelles in comparison with the past, it is quite obvious that the current trend of population dynamics is in decline and this is an alarm that indicate the need for urgent action to reduce the speed of population decline and for careful and long-term planning to management of Gazelles population.…”
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Transient Protection of UHV Busbars Based on Standardized VMD-Shannon Entropy by Zhenwei Guo, Yongyan Jiang, Zebo Huang, Yangsheng Liu

“…Transient bus protection exhibits ultra-high-speed action, yet displays low reliability under weak fault conditions. …”
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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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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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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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