A Deep Reinforcement Learning Framework for Adaptive Resiliency Enhancement in Smart Power Grids by Boyu Wang, Aliasghar Baziar, Mohammad Reza Askari

“…The proposed framework features a two-layered control architecture that models grid states, actions, and rewards to enable continuous, real-time adaptive control of distributed energy resources, microgrids, and control centers. …”
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A Trajectory Data-Driven Study on the Evolution Mechanism and Control Strategies of Lane-Changing Behavior in Intersection Areas of Expressways by Jiayou Wu, Yongwei Lei, Shaoliu Liu, Qiang Luo

“…After analyzing the sample data using traffic flow theory and statistical theory, the following results were obtained: the speeds increase upon entering and decrease upon exiting weaving zones, while headway distances consistently grow. …”
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The response characteristics and stability evaluation of vegetated slope under strong wind by Yanlin Liu, Fei Wang, Feng Ji, Lianhua Zhang, Jianjun Zhao, Chen Zheng, Jibin Chen

“…At wind forces ≥ 13 (typhoon: 37.0–41.4 m/s), vegetation exerts a negative influence under the combined action of strong wind loads. (2) Based on the experimentally determined evolution of soil strength parameters, a formula c (v, w) was fitted to express the variation of cohesion with wind speed (v) and moisture content (w). (3) The optimized evaluation model demonstrates increased sensitivity compared to the traditional model, resulting in a 17.88% increase in sliding force and a 10.62–11.64% increase in anti-sliding force. …”
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ANALYSIS OF OPERATION AND RESEARCH OF THE ENERGY CHARACTERISTICS ROTARY DISPERSER by Rudnev S.D., Kozlov M.A., Kryuk R.V.

“…It is found that the dispersion process effectively proceeds up to a value of the multiplicity of processing, when reaching a number of useful consumed power remains practically constant, which does not lead to an increase of fineness, consumption unit power consumed only to move the product to be treated, and further increase the degree of crushing can be achieved by increase the speed of the rotor. …”
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Kinetics of Extraction of Dioscine from Vegetable Raw Materials in Vibrocavitation Homogenizer by E. V. Flisyuk, S. S. Belokurov, I. A. Narkevich, A. N. Shikov, O. M. Flisyuk, D. Yu. Ivkin

“…It was also found that the resistance to mass transfer inside particles increases significantly as it approaches the final stage of the process, and with an increase in the rotor speed, it increases, especially at the initial stage of the process, which is associated with the intensity of cavitation and the weakening of its effect as the process deepens inward particles.Conclusions. …”
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Industrial multi-machine data aggregation, AI-ready data preparation, and machine learning for virtual metrology in semiconductor wafer and slider production by Feiyang Ou, Julius Suherman, Chao Zhang, Henrik Wang, Sthitie Bom, James F. Davis, Panagiotis D. Christofides

“…Smart Manufacturing is rooted in AI, Machine Learned (ML), and Data Synchronized (DS) modeling to tap into invaluable operating data. By making data actionable at larger scales, SM opens new ways to increase productivity, precision, and process performance. …”
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Study of structural-mechanical properties of the ointment base by V. V. Rudenko

“…Unjustifiable selected the basis of a medicinal product may cause not only the increase or reduction of the actions of the active substance, but also a total absence of it. …”
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Formation of Orthogonal Components of Input Currents in Microprocessor Protections of Electrical Equipment by F. A. Romaniuk, Yu. V. Rumiantsev, V. Yu. Rumiantsev, I. V. Novash

“…With a strong saturation of the magnetic core of current transformers, the speed of obtaining reliable values of these components is increased by 1.5–2 times.…”
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Coating silicon catheters with the optimized and stable carotenoid bioproduct from Micrococcus luteus inhibited the biofilm formation by multidrug-resistant Enterococcus faecalis v... by Khaled B. Al-Monofy, Ahmed A. Abdelaziz, Amal M. Abo-Kamar, Lamiaa A. Al-Madboly, Mahmoud H. Farghali

“…Submerged fermentation model validation using the M6 isolate (accession number of PP197163) revealed an increase in carotenoid production up to 6-fold (1.2 g/l). …”
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Vibration Control of Tower Structure with Multiple Cardan Gyroscopes by Haoxiang He, Xin Xie, Wentao Wang

“…The multiple cardan gyroscope has two rotational degrees of freedom, which can generate strong moments to constrain the two horizontal orthogonal deflections if the rotor operates in high speeds, so the structural dynamic responses can be decreased. …”
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A Hybrid Security Framework for Train-to-Ground (T2G) Communication Using DOA-Optimized BPNN Detection, Bayesian Risk Scoring, and RL-Based Response by Chaoyuan Sun, Weijiao Zhang, Peng Sun, Hui Wang, Chunhui Yang

“…With the widespread adoption of wireless communication technologies in modern high-speed rail systems, the Train-to-Ground (T2G) communication system for Electric/Diesel Multiple Units (EMU/DMU) has become essential for train operation monitoring and fault diagnosis. …”
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Assessment of mass characteristics of a wheeled chassis when designing a preventive suspension system by Malinovsky M.P., Tarichko V.I., Chikina A.K.

“…To achieve a preventive nature of the action by predicting longitudinal and lateral vibrations, brake pedal travel and fuel supply sensors, as well as a steering shaft speed sensor, are used. …”
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DC Bus Overcurrent Protection Scheme in Metro DC Traction Power Supply System Based on Boolean Logic Calculation by LIU Yuxing, ZHENG Chunchun, LAI Peixin, XIE Jinlian, XIE Yuehai, LIU Yajie

“…It meets the requirements for protection reliability and speed, offering a DC bus protection solution that integrates low cost, high reliability, and simple implementation. …”
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Trends and Variability of PM2.5 at Different Time Scales over Delhi: Long-term Analysis 2007–2021 by Chetna, Surendra K. Dhaka, Gagandeep Longiany, Vivek Panwar, Vinay Kumar, Shristy Malik, A. S. Rao, Narendra Singh, A. P. Dimri, Yutaka Matsumi, Tomoki Nakayama, Sachiko Hayashida

“…The long-term PM2.5 concentration showed an overall small but statistically significant decreasing trend with an average decrease of −1.35 (95% CI: −2.3, −0.47) µg m−3 year−1. …”
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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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An Optimized Path Planning Method for Coastal Ships Based on Improved DDPG and DP by Yiquan Du, Xiuguo Zhang, Zhiying Cao, Shaobo Wang, Jiacheng Liang, Fengge Zhang, Jiawei Tang

“…Firstly, Long Short-Term Memory (LSTM) is used to improve the network structure of DDPG, which uses the historical state information to approximate the current environmental state information, so that the predicted action is more accurate. On the other hand, the traditional reward function of DDPG may lead to low learning efficiency and convergence speed of the model. …”
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Structural and Parametric Optimization of Steam Boiler Injection Regulators by G. T. Kulakov, N. V. Voyush

“…Thus, a significant increase in speed and accuracy is achieved when working out internal and external measured disturbances compared to a typical two-circuit system or an invariant automatic control system with an internal model, which makes it possible to recommend the proposed invariant cascade automatic control system for widespread implementation in the field of automation of thermal power processes.…”
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Research on temporary shipping network model and optimization strategy under partial shipping network disruption by Zhiyi Ye, Xiang Yuan

“…Specifically, transportation costs decrease by 12.3 %, carbon emissions drop by 8.7 %, and congestion-induced penalties are minimized by 19.1 % through dynamic capacity allocation and multipath redundancy. …”
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EDITORIAL by Ivan Čuk

“…The speed increase in pubescence and adolescence do not differ. …”
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Methodology for Managing Financial Resources in Credit Institutions by A. G. Mikheev

“…The current state of credit and banking sector is characterized by high competition between credit institutions, taking place in context of increasing business volatility. To maintain competitive advantages, credit institutions have constantly to new conditions - to create new services and products, to continuously enhance efficiency, to introduce innovations. …”
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