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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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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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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Kinematic analysis of the back squat at different load intensities in powerlifters and weightlifters by Valerio Giustino, Domenico Savio Salvatore Vicari, Domenico Savio Salvatore Vicari, Flavia Figlioli, Flavia Figlioli, Marco Gervasi, Eneko Fernández Peña, Naima Schifaudo, Mattia Tedesco, Patrik Drid, Antonio Paoli, Giuseppe Battaglia, Giuseppe Battaglia, Antonino Bianco, Antonino Patti

“…., 60%, 70%, 80%, 90%, 100%) of the 1-RM. An action camera recorded the execution of each BS trial in the sagittal plane and, afterward, the videos were analyzed by measuring the range of motion (ROM) of hip, knee, and ankle for the angular kinematics, and the timing, distances, speeds, and accelerations of the barbell for the linear kinematics.ResultsRegarding the angular kinematics, no significant differences were found in the parameters in the starting and ending positions among the 5 trials, while a significant decrease was found in the hip relative angle (p = 0.026) in the maximum flexion position as load intensity increased. …”
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Community-Engaged Approach for Health Equity: Enhancing an Active Environment in Michigan by Tsu-Yin Wu, Xining Yang, Alex Swartzinski, Jessica Kwek

“…Introduction: During the COVID-19 pandemic, a decrease in physical activity (PA) has been reported in the United States and worldwide. …”
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EDITORIAL by Ivan Čuk

“…The speed increase in pubescence and adolescence do not differ. …”
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Vibration Reduction Effect of Steel Spring Floating Slabs under Water Immersion Conditions by YUAN Dehao, ZHANG Hongliang, YANG Lin, ZHOU Yu, NIU Xiaoli

“…The isolator stiffness and train speed affecting the vibration reduction performance of the water-immersed floating slab under train load action is analyzed. …”
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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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Corruption risks in COVID-19 vaccine deployment: lessons learned for future pandemic preparedness by Gul Saeed, Jillian Clare Kohler

“…Abstract Background During the COVID-19 pandemic corruption risks were amplified in health systems globally, increasing health inequities within and between countries. …”
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Research on temporary shipping network model and optimization strategy under partial shipping network disruption by Zhiyi Ye, Xiang Yuan

“…The framework maintains 92.4 % operational efficiency during simulated port disruptions, outperforming benchmarks in both computational speed (42 % faster convergence) and solution quality (0.57 % error from the optimal). …”
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New Possibilities In The Study Of Coastal Upwellings In The Southeastern Baltic Sea With Using Thermistor Chain by Viktor Krechik, Stanislav Myslenkov, Maria Kapustina

“…The temperature decreasing caused by the simultaneous action of at least two factors: wind-driven Ekman upwelling and advection of cold water. …”
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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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Multi-stage process optimization and efficiency improvement for magnetorheological polishing of glass-ceramics by Yakun Yang, Mingming Lu, Jieqiong Lin, Yongsheng Du, Hui Ma

“…The results show that the optimal MFC as follows: polishing time is 60 min, abrasive is cerium oxide, particle size is 1.5 μm, and pH = 9. Chemical action reduces the surface hardness, thereby increasing the material removal rate (MRR). …”
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An Improved Reinforcement Learning Algorithm for Cooperative Behaviors of Mobile Robots by Yong Song, Yibin Li, Xiaoli Wang, Xin Ma, Jiuhong Ruan

“…Reinforcement learning algorithm for multirobot will become very slow when the number of robots is increasing resulting in an exponential increase of state space. …”
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