Amplitude and Phase Calibration with the Aid of Beacons in Microwave Imaging Radiometry by Aperture Synthesis: Algebraic Aspects and Algorithmic Implications by Eric Anterrieu

“…This contribution focuses on the calibration of the effective transfer function of aperture synthesis radiometers with the aid of a radio beacon, in the same way radio-astronomers use quasi-stellar radio sources to calibrate that of radio-telescope arrays. …”
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Increasing Solar cell Efficiency using Quantum Dot Sensitization by Parashar Komal, Bobba Phaneendra babu, Samyuktha Penta, Fallah Mohammed Hussein, Chauhan Sanjay Singh, Verma Vikas, Rathour Abhinav, Gupta Manish

“…This research examines the effectiveness of swarm intelligence approaches in improving the functioning of solar cell hybrid microgrids, specifically focusing on the difficulties caused by the irregularity of renewable energy sources. Analyzed were simulated data that represented the creation of solar cell and solar cell electricity, the status of charge of batteries, and the outputs of swarm optimization. …”
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Research Progress on Dioxin Prevention and Control Technologies in the Entire Process of Domestic Waste Incineration by Yongyi MA, Qianqian LI, Bohua SUN, Jing MENG, Bin SHI, Yangzhao SUN, Guijin SU

“…This paper systematically summarizes three mechanisms of dioxin formation during the entire incineration process under high-temperature and low-temperature conditions: high-temperature homogeneous synthesis, precursor synthesis, and de novo synthesis, identifying chlorine sources, carbon sources, metals, oxygen, and temperature as key influencing factors. …”
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Distributed robust planning for new power system considering uncertainty and frequency security by Xinxin Zheng, Dahai Zhang, Zhaohong Bie, Xue Wu

“…The integration of renewable energy into the grid has increased the uncertainty of source load, posing challenges to the frequency safety of the power system. …”
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Improved genetic algorithm based on greedy and simulated annealing ideas for vascular robot ordering strategy. by Zixi Wang, Yubo Huang, Yukai Zhang, Yifei Sheng, Xin Lai, Peng Lu

“…Traditional heuristic methods, though intuitive, often fail to achieve global optimization. …”
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Screening of a lignin decomposing bacterium and its application in bamboo biomechanical pulping. by Yan Li, Jia Zhang, Juan Li, Ling You, Tao Wang, Zhige Tian, Wenhao Chen

“…Therefore, this is a feasible preparation method. This study provides a new microbial source for lignin degradation.…”
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Size-dependent catalytic and antibacterial effects of phytogenically synthesized silver nanoparticles

“…(Malvaceae) (HH-AgNPs). The optimization process including the four main parameters of extract-to-silver volume ratio, silver ion concentrations, reaction time, and reaction temperature, was carried out using Taguchi method. …”
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Distribution Network Differential Protection Technology Based on 5G Communication and Improved DTW by YU Yang, TANG Wei, YE Yuanbo, SHAO Qingzhu, YANG Ruijin, HUANG Yuhui

“…Aiming at the shortcomings of traditional DTW algorithms, such as large overhead, algorithm accuracy and efficiency limited by sequence amplitude difference, and empirical selection of parameters, the global path constraint strategy, data standardization strategy and particle swarm optimization strategy are proposed to be improved. Simulation results show that the differential protection method of distribution network based on 5G communication and improved DTW is selective and fast,and can be reliably operated in different scenarios.…”
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Electrical and Heat Energy Production Strategy in Conditions of Limited Amount of Fuel by V. S. Kuzevanov, S. S. Zakozhurnikov, G. S. Zakozhurnikova, A. A. Kaverin

“…The features of the implementation of the model for a separate thermal power plant (mini-thermal power plant) with a guaranteed supply of electric energy to the consumer are considered, cogeneration modes are substantiated in conditions of a limited fuel supply, regardless of the consumer category. An optimization option is shown when choosing an additional source of heat to meet the needs of the consumer. …”
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ANALYTICAL SYNTHESIS OF FORCED PULSE ELECTRONIC DRIVE CONTROL OF A TRACKING SYSTEM by A. S. Abufanas, A. A. Lobaty, Y. F. Yacina

“…The problem of analytical synthesis of a control signal by a linear dynamical system is considered. As an optimization criterion, it is proposed to consider the transition time of the system from the initial state to a given final state. …”
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Extraction, Isolation, and Purification of Furanocoumarins from Invasive <i>Heracleum sosnowskyi</i> by Vida Vickackaite, Karina Pilaityte, Vilius Poskus

“…These findings highlight the potential of <i>H. sosnowskyi</i> as a sustainable source of furanocoumarins for pharmaceutical applications.…”
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Technologies for Distributed Generation: key performance factors for industrial application by G. G. Nalbandyan, S. S. Zholnerchik

“…To identify the effects of the introduction of distributed generation technologies, the method of case study analysis is used. The empirical analysis was carried out on the basis of twelve Russian companies that use their own energy sources. …”
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Integration of a novel Vernier-DSPM generator in a grid connected hybrid renewable energy system with battery storage by Abderrahmane Redouane, Rachid Saou, Youcef Belkhier, Amrane Oukaour

“…This research investigates a hybrid renewable energy system (HRESs) connected to the grid that uses three energy sources: solar energy, wind energy, and battery energy. …”
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Sound-Based Unsupervised Fault Diagnosis of Industrial Equipment Considering Environmental Noise by Jeong-Geun Lee, Kwang Sik Kim, Jang Hyun Lee

“…The proposed method minimizes the impact of environmental noise and maintains the fault diagnosis performance in altered environments. …”
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A Lightweight Network with Domain Adaptation for Motor Imagery Recognition by Xinmin Ding, Zenghui Zhang, Kun Wang, Xiaolin Xiao, Minpeng Xu

“…Additionally, lightweight experiments were conducted from two perspectives: model structure optimization and data feature selection. The results demonstrated the potential advantages of this method for practical applications in motor imagery recognition systems.…”
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Identifying the Spatial Range of the Pearl River Delta Urban Agglomeration from a Differentiated Perspective of Population Distribution and Population Mobility by Yongwang Cao, Qingpu Li, Zaigao Yang

“…This fusion allows for identification from a differentiated perspective of population distribution and mobility. We propose a new method for identifying the dynamic boundaries of urban agglomerations through multi-source data fusion. …”
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Typical characteristic mining and load evaluation for the difficulties of power supply–demand balance regulation by Junwei Li, Yang Yu, Zengqiang Mi, Jian Wu

“…Finally, to elucidate the contribution of random samples to typical demand features, a sample weighting method utilizing clustering categories is proposed and a distance‐minimum optimization model is constructed to estimate typical features by leveraging the “group effect” concept. …”
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Early and non-destructive prediction of the differentiation efficiency of human induced pluripotent stem cells using imaging and machine learning by Miki Arai Hojo, Taku Tsuzuki, Yosuke Ozawa, Toshiyuki Araki, Hidetoshi Sakurai

“…We employed a directed differentiation protocol for muscle stem cells (MuSCs), a promising cell source for the regenerative therapy of muscular dystrophy. …”
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A Pocket Assay Grouting Technology for Rock Burst Control under Huge-Thick Conglomerate by Junwei Shi, Xiangrui Meng, Jifang Du, Yu Dong, Ying Wang

“…The grouting technology is proved to effectively limit the bending settlement of conglomerate, control stress concentration of conglomerate, and improve the structure of the source of rock burst, which is an effective method for the control of huge-thick conglomerate. …”
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Inversion model of stress state reconstruction for geological hazard pipelines based on digital twin by Xue Luning, Tian Mingliang, Zhao Juncheng

“…The mechanical state of the physical pipeline is mapped in real time by the digital twin, the numerical simulation and multi-source monitoring data are integrated, and the parameters of the twin model are dynamically optimized by combining the optimization algorithms of Particle Swarm Optimization (PSO) and Support Vector Machine (SVM), so as to realize the real-time prediction of the pipeline stress state and the dynamic updating of the disaster scenario. …”
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