Suppression strategies for pyrolysis gas parameter fluctuations in small pyrolysis-combustion coupled reactors for MSW by Shuhui Wang, Jianxiong Zhang, Jun Fu, Lin Wang, Zhifeng He, Zheng Yan

“…This dynamic adjustment effectively suppresses the fluctuations in the outlet pyrolysis gas parameters. …”
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Free-space Coupled Superconducting Nanostrip Single Photon Detector System based on GM Cryocooler by JU Zhiping, QIN Jian, MA Ruoyan, JIANG Yanyang, WANG Minjie, YE Dapeng, XU Guangzhao, XING Junjie, XIAO You, LI Hao, SHI Jinghao, YOU Lixing, LÜ Chaolin

“…【Objective】This study aims to design and implement a free-space-coupled Superconducting Nanostrip Single Photon Detector (SNSPD) system based on a Gifford-McMahon (GM) cryocooler, addressing the limitations of traditional fiber-coupled systems in near/mid-infrared bands and polarization-sensitive applications, and thereby expanding the application scenarios of SNSPDs.…”
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Array amplitude-phase and mutual coupling error joint correction method based on sparse Bayesian by Ding WANG, Weigang GAO, Zhidong WU

“…In the actual array direction finding system, there are often a variety of errors such as amplitude and phase, mutual coupling, which lead to serious deterioration of array direction finding performance.In order to solve the problem of array direction finding misalignment in the presence of low signal-to-noise ratio, small snapshots and multiple errors, the spatial sparsity of signals were introduced, and Bayesian sparse reconstruction technology was used to solve the passive correction and joint estimation of array signal azimuth in the presence of amplitude-phase and mutual coupling errors.The over-complete model of the received signal with error was constructed, and the posterior probability density function of the received signal was obtained.The EM algorithm was used to iteratively optimize the probability density function to solve the corresponding parameters.At the same time, the CRLB of array error and signal azimuth was derived, and by experimental simulation verifies the effectiveness of the proposed method.…”
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Array amplitude-phase and mutual coupling error joint correction method based on sparse Bayesian by Ding WANG, Weigang GAO, Zhidong WU

“…In the actual array direction finding system, there are often a variety of errors such as amplitude and phase, mutual coupling, which lead to serious deterioration of array direction finding performance.In order to solve the problem of array direction finding misalignment in the presence of low signal-to-noise ratio, small snapshots and multiple errors, the spatial sparsity of signals were introduced, and Bayesian sparse reconstruction technology was used to solve the passive correction and joint estimation of array signal azimuth in the presence of amplitude-phase and mutual coupling errors.The over-complete model of the received signal with error was constructed, and the posterior probability density function of the received signal was obtained.The EM algorithm was used to iteratively optimize the probability density function to solve the corresponding parameters.At the same time, the CRLB of array error and signal azimuth was derived, and by experimental simulation verifies the effectiveness of the proposed method.…”
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Modeling Self-Heating in High-Power Single-Mode Phase-Coupled Linear VCSEL Arrays by V. Torrelli, M. C. G. Alasio, M. D'Alessandro, A. Gullino, L. Miri, J. Lindner, S. Gronenborn, M. Goano, P. Debernardi

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System Identification for Rigid-Flexible Coupled Dynamics Model of a Cable-Driven Aerial Manipulator by Wanqiang Xi, Li Ding, Rui Ma

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Dynamic Event-Triggering Control for Virtual Coupling of Virtual Track Trains Considering Communication Delay by ZHOU Wenqing, YANG Caijin, LU Ye, LI Daoyang, ZHANG Weihua

“…Virtual coupling technology, achieved through inter-train cooperative control in wireless communication networks, can effectively manage both periodic and random passenger flow. …”
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Hydrogen–electric–thermal coupling analysis and validation of superconducting turbo-electric hybrid propulsion system by Mingliang Bai, Wenjiang Yang, Ruopu Zhang, Zibing Qu, Juzhuang Yan

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Study on Dynamic Amplification Coefficient of U-Shaped Girder Based on Vehicle-Bridge Coupling Dynamics by Tangying Bai, Hui Li, Yu Tian, Yipeng Chen, Yudong Wen, Chaoyi Xia

“…In this paper, a vehicle-bridge coupling dynamic model is established considering the vertical wheel-rail tight contact and the lateral simplified wheel-rail creeping. …”
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A Novel Multi-Sensor Nonlinear Tightly-Coupled Framework for Composite Robot Localization and Mapping by Lu Chen, Amir Hussain, Yu Liu, Jie Tan, Yang Li, Yuhao Yang, Haoyuan Ma, Shenbing Fu, Gun Li

“…Composite robots often encounter difficulties due to changes in illumination, external disturbances, reflective surface effects, and cumulative errors. These challenges significantly hinder their capabilities in environmental perception and the accuracy and reliability of pose estimation. …”
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Dynamics Performance Analysis of Metro Vehicle-Turnout System Based on Rigid-Flexible Coupled Model by LI Huawei, XU Xiaotang, LIU Wei, HE Jun

“…This research confirms that the metro vehicle-turnout coupling model based on rigid-flexible coupled dynamics can effectively evaluate the safety of vehicle passage through turnout.…”
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Leveraging automated time-lapse microscopy coupled with deep learning to automate colony forming assay by Anusha Klett, Anusha Klett, Dennis Raith, Dennis Raith, Paula Silvestrini, Paula Silvestrini, Paula Silvestrini, Matías Stingl, Jonas Bermeitinger, Avani Sapre, Avani Sapre, Avani Sapre, Martin Condor, Roman Melachrinos, Mira Kusterer, Alexandra Brand, Guido Pisani, Guido Pisani, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Marie Follo, Marie Follo, Jesús Duque-Afonso, Roland Mertelsmann, Roland Mertelsmann

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The noise analysis and multi-physical field coupling study of high-precision SERF atomic gyroscopes by Jiaxin Liu, Xusheng Lei, Yu Yuan, Yizhe Zhou, Haoying Pang, Zhihong Wu

“…Based on these analyses, the study concludes that to achieve strategic-grade precision for the SERF gyroscope, it is essential to effectively address the noise issues caused by multi-physical field couplings.…”
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Heat Transfer Analysis of Enhanced Geothermal System Based on Heat-Fluid-Structure Coupling Model by Linchao Wang, Xin Liang, Xuyang Shi, Jianyong Han, Yang Chen, Wan Zhang

“…Through the numerical simulation results, the temporal and spatial changes of coupling effects among seepage field, stress field, and temperature field in fractured rock mass were analyzed. …”
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A damage model that can be coupled with constitutive behavior prior to necking for SGAFC 780 steel by Seong Jin Lee, Taek Jin Jang, Hyunho Shin, Yongwon Ju, Sangho Bae, Jong-Bong Kim

“…By integrating these findings with the characteristics of the flexible coupling onset point in the stress–strain curve, it is likely that the proposed damage model can effectively characterize the deformation and fracture behavior of a diverse range of materials.…”
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Coupling of urbanization and grain production: patterns, processes, and mechanisms—a case study from China by Xiaodong Chang, Shijun Wang, Shijun Wang, Shijun Wang, Zhipeng Yang, Ke Li, Siqi Wang, Mengze Qin, Xinjie Meng

“…Various dynamic coupling types exhibit significant spatial clustering, and the multidimensional dynamic coupling processes reveal notable similarities. (4) The evolution of coupling states demonstrates an overall trend of optimization, with clear bidirectional migration trends observed in coupling dynamics, primarily transitioning from simultaneous increase (urbanization outpacing grain production) to urban increase with grain production decrease, and vice versa. (5) The formation of the complex coupling relationship between urbanization and grain production in the Chinese context is fundamentally influenced by changes in population quantity and structure between urban and rural areas, shifts in land use, economic transformation, regional specialization, technological interactions, and factor mobility. …”
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Working-memory load decoding model inspired by brain cognition based on cross-frequency coupling by Jing Zhang, Tingyi Tan, Yuhao Jiang, Congming Tan, Liangliang Hu, Daowen Xiong, Yikang Ding, Guowei Huang, Junjie Qin, Yin Tian

“…This model integrates multi-frequency and multi-scale Sinc convolution to facilitate time-frequency conversion and extract time-frequency information from multiple rhythms and regions of the EEG data with the aim of effectively model the cross-frequency coupling across different cognitive domains. …”
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Analysis of the Coupled Coordination of Digital Economy and Public Health Services in China and Its Influencing Factors by Chen K, Ding Z, Tao Q, Fu R, Zhu W

“…Economic development is identified as the primary driver of improved coordination, whereas factors such as population density and health status exert inhibitory effects to some extent.Conclusion: To enhance overall coordination and achieve regional balance, policymakers should tailor development strategies to local resource endowments, optimize the synergy between the digital economy and public health services, and refine collaborative mechanisms.Keywords: digital economics, public health services, coupled coordination, influencing factors, Tobit model…”
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Advancing Grid-Forming Inverter Technology: Comprehensive PQ Capability and Performance Analysis by Md Nurunnabi, Shuhui Li, Himadry Shekhar Das

“…Real-time hardware validation confirms the robustness of the proposed approaches and their effectiveness in suppressing harmonics and recovering from faults. …”
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RBCC Mid-section Combined Trajectory Optimization Method Based on Particle Swarm-Pseudospectral Convex Optimization by Yang Yuxuan, Fei Wanghua, Liu Haili, Wang Peichen, Yan Xunliang

“…Firstly, according to the requirements of the mission, the mid-course flight scheme is given, and the combined trajectory optimization problem is described. Secondly, by analyzing the coupling mechanism of each segment of the combined trajectory, the combined trajectory optimization problem is transformed into the inter-segment convergence static parameter optimization and sub-segment trajectory optimization problem, and a double-layer nested optimization strategy based on particle swarm-pseudospectral convex optimization is designed to solve the problem. …”
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