Entropy-driven multi agent deep reinforcement learning for resilient distribution networks: coordinating MESS and microgrids by Changchun Cai, Fenglu Gan, Yong Cui, Bo Li, Shixi Hou

“…In extreme disasters where severe main grid failures lead to widespread power outages in distribution networks, rapid critical load restoration (CLR) becomes crucial for enhancing power supply reliability. …”
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Comparative Assessment of Modulation Strategies in Modular Multilevel Converters: An Attempt for a Better Compromise Between the Efficiency and Capacitor Voltages' Dispersio... by Anthony Abdayem, Jean Sawma, Adrian Beneit, Ramon Blasco-Gimenez, Flavia Khatounian, Eric Monmasson

“…Modulation techniques for Modular Multilevel Converters (MMCs) encounter a limit in the tradeoff between reducing the total harmonic distortion (THD) of the load current and minimizing the number of commutations, primarily due to traditional sorting algorithms. …”
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Isolated High-Gain DC-DC Converter with Nanocrystalline-Core Transformer: Achieving 1:16 Voltage Boost for Renewable Energy Applications by Tania Sandoval-Valencia, Dante Ruiz-Robles, Jorge Ortíz-Marín, Jesus Alejandro Franco, Quetzalcoatl Hernandez-Escobedo, Edgar Moreno-Goytia

“…This paper presents an isolated DC-DC converter with high voltage gain that features an advanced inter-built nanocrystalline-core medium-frequency transformer (NC-MFT). …”
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Finite Element Modelling of Pressure Armour Unlocking Failure in Unbonded Flexible Risers by Rongzhi Wei, Xiaotian Li, Murilo Augusto Vaz, Anderson Barata Custódio

“…The study focuses on the possibility of pressure armour unlocking due to bending load, where the effects of geometric features of the pressure armour layer and internal pressure value on unlocking are investigated by varying corresponding parameters. …”
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Three-Dimensional Temperature Field Reconstruction Based on Tucker Decomposition and Acoustic Thermometry by Jidong Yan, Liansuo An, Pengbo Yao, Guoqing Shen, Shiping Zhang

“…The key innovation lies in the use of Tucker decomposition to extract essential features from 3D time-of-flight (TOF) data, enabling efficient reconstruction of 3D temperature fields from a small number of single-layer TOF measurements. …”
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Quantitative characterization and evolutionary patterns of coal cracks based on crack tensor analysis by Pengyu Mu, Shouguang Wang, Jiamin Wang, Jiarong Shen, Xiangshang Li, Huaguang Liu, Yulong Chen

“…Hence, quantitatively characterizing the crack features and their evolutionary patterns in coal is crucial. …”
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风电增速齿轮系统接触动力学建模与分析 by 赵阳, 穆塔里夫·阿赫迈德, 克里比努尔·巴热

“…The wind turbine acceleration gear model is established in accordance with the parameter accurate design method.Then three dimensional finite element models are built according to the gear pair of load and structural features.The contact dynamics analysis of wind power acceleration gears meshing are carried out.During the gear pair meshing process,tooth contact stress and tooth root bending stress are obtained under different times.And the tooth root stress and the tooth stress change trend in gear meshing process is analyzed detailed.It provides the valuable theoretical basis for further research on optimization design and analysis of the wind turbine acceleration gear.…”
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Study on incentive mechanism of reward and punishment on work efficiency of PCB welder based on recurrence quantification analysis and electroencephalogram signals by Zhang Qian, Mingyue Guo, Fuwang Wang

“…The accuracy of the twin support vector machine (TWSVM) reaches 98.71%, which is 0.79% and 14.37% higher than existing EEG-based incentive evaluation methods, such as the phase-locking value combined with convolutional neural network (accuracy: 97.92%) and spectral power features (accuracy: 84.34%). This study not only confirms the feasibility of EEG in incentive evaluation but also addresses the insufficient sensitivity of traditional cognitive load monitoring by integrating RQA features and a dynamic classification framework, providing a quantifiable neuroscientific basis for optimizing enterprise incentive mechanisms.…”
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A Hybrid Content-Aware Network for Single Image Deraining by Guoqiang Chai, Rui Yang, Jin Ge, Yulei Chen

“…In MDFM, multi-scale spatial features are double-gated fused to preserve local detail features and enhance image restoration capabilities. …”
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Enzyme systems for fragmentation of the rhamnogalacturonan sites main chains in plant tissue protopectin complex by V. V. Kondratenko, T. Yu. Kondratenko

“…Special features of the protopectin complex structure of plant tissue suggest the necessity of performing point destruction of certain glycoside bonds in the structure of rhamnogalacturonan polymer chains for industrial production of pectin. …”
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Reintegration processes in education: theoretical perspective by E. G. Protsenko

“…The analysis of the concept allows us to define it in terms of its semantic load as a process aimed at uniting, restoring, reassembling a previously disintegrated or disintegrated critical, political, economic, social education. …”
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VEGETATIVE SUPPORT OF CARDIAC ACTIVITY IN ATHLETES WITH DIFFERENT ANTHROPOMETRIC PROFILE by O. N. Kudrya

“…The purpose of research – to study the features of the functioning of the cardiovascular system and regulatory mechanisms of the young athletes of different heights.Materials and methods. …”
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Research and Design of a Medial-Support Exoskeleton Chair by Wenzhou Lin, Yin Xiong, Chunqiang Zhang, Xupeng Wang, Bing Han

“…The design incorporates support rods positioned along the medial aspect of the user’s lower limbs and features an adaptive telescopic rod system, enhancing sitting stability and reducing collision risks in workplace environments. …”
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Enhanced cancer cell sorting using lab-on-a-disk pattern design with magnetic and centrifugal forces by Bill Cheng, Wei-Cheng Chao, Yi-Han Chen, Yao-Tsung Lin

“…The design of the detection device and lab-on-a-disk (LoaD) can impact performance in accurately identifying biological features. …”
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Lunar Rickshaw – A non-Motorized Vehicle Designed for Exploration and Rescue Missions on the Moon’s South Pole by Marius POP, Dan NETOIU, Tiberiu SALAORU, Dana LEPADATU, Calin COMAN, Mircea BOCIOAGA

“…When deployed, it is unfolded and securely locked to the frame using a Lock-and-Walk Mechanism (LWM), ensuring structural rigidity, integrity, and efficient load distribution.…”
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A novel approach for energy- and memory-efficient data loss prevention to support Internet of Things networks by Pooya Hejazi, Gianluigi Ferrari

“…Moreover, we integrate the data-centric storage features into distributed data storage mechanisms and present a novel heuristic approach, denoted as Collaborative Memory and Energy Management, to solve the underlying optimization problem. …”
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A Long-Tail Fault Diagnosis Method Based on a Coupled Time–Frequency Attention Transformer by Li Zhang, Ying Zhang, Hao Luo, Tongli Ren, Hongsheng Li

“…In real-world industrial environments, bearings are subjected to high temperatures and loads, making failure prediction and health management critical for ensuring stable equipment operations and safeguarding both personnel and property. …”
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The ways of improvement special physical training of high-qualified women volleyball players in competitive period of annual macrocycle by A.N. Malikova, E. Yu. Doroshenko, A. V. Symonik, E. V. Tsarenko, A. I. Veritov

“…As part of corrective modules, the training load of aerobic-anaerobic direction was increased. …”
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EGA: An Efficient GPU Accelerated Groupby Aggregation Algorithm by Zhe Wang, Yao Shen, Zhou Lei

“…EGA demonstrates significant acceleration: SP-EGA outperforms SOTA hash-based GPU algorithms by 1.16–5.39× at load factors >0.90 and surpasses SOTA sort-based GPU methods by 1.30–2.48×. …”
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Pregnancy course and perinatal outcomes in women with congenital heart valve disease by Yu. V. Bukhonkina1, R. I. Stryuk, G. V. Chizhova, V. B. Nemirovsky

“…Cardiovascular decompensation was registered at Weeks 28-32, when the hemodynamic load is maximal.…”
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