Structural Safety Evaluation of Tunnel Based on the Dynamic Monitoring Data during Construction by Xiaokun Yan, Hu Li, Feng Liu, Yang Liu

“…Finally, the effectiveness of the proposed method is demonstrated by using the dynamic monitoring data obtained during the construction of an actual tunnel.…”
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Attitude Control with Auxiliary Structure Based on Adaptive Dynamic Programming for Reentry Vehicles by Xu Li, Zhongtao Cheng, Bo Wang, Yongji Wang, Lei Liu

“…Then, the stability is analyzed by the Lyapunov method, and the parameter selection strategy of the ADP structure is derived to guide implementation. …”
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Advancing dynamic quantum crystallography: enhanced models for accurate structures and thermodynamic properties by Helena Butkiewicz, Michał Chodkiewicz, Anders Ø. Madsen, Anna A. Hoser

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Structural Design and Dynamics Analysis of a Lower Limb Rehabilitation Training Mechanism by Wang Yan, Li Jian

“…Aiming at the situation that there are a large number of paraplegic patients in China and there is a shortage of rehabilitation training equipment for lower limbs, a simple rehabilitation training mechanism for lower limbs is designed. The structure, driving method and length adjusting mechanism of the mechanism are introduced，its kinematics and dynamics are analyzed theoretically. …”
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Vibration control of a flexible beam structure utilizing dynamic Green’s function by Bassam A. Albassam

“…The effectiveness of the proposed method is demonstrated on various cases using Numerical examples.…”
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Dynamic Characteristics of Fault Structure and Its Controlling Impact on Rock Burst in Mines by Tianwei Lan, Jiawei Sun, А. S. Batugin, Wenqi Zhao, Mancang Zhang, Weidong Jia, Zhijia Zhang

“…In terms of the fault structure, the method of geodynamic zoning is used to classify fault structure forms of rock burst in mines, and a model of geological structure is established to reveal the connection between fault structure and mine engineering. …”
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Structural Designing of Supersonic Swirling Devices Based on Computational Fluid Dynamics Theory by Qian Huang, Huirong Huang, Xueyuan Long, Yuan Tian, Jiang Meng

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Adaptive Optimization and Dynamic Representation Method for Asynchronous Data Based on Regional Correlation Degree by Sichao Tang, Yuchen Zhao, Hengyi Lv, Ming Sun, Yang Feng, Zeshu Zhang

“…To address this longstanding issue, we propose a novel and efficient Asynchronous Spike Dynamic Metric and Slicing algorithm (ASDMS). ASDMS adaptively segments the event stream into fragments of varying lengths based on the spatiotemporal structure and polarity attributes of the events. …”
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The Dynamic Characteristics of the Water Entry of a Lifeboat by Wenxin Yi, Hui Liu, Jiahe Zou, Conghong Lu, Wenqing Luo, Bo Zhou

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Dynamics of change glioneyronal complex retinal photodamage, usingmathematical modeling methods by Ye. Yu. Varakuta, A. V. Potapov, A. A. Zhdankina, M. V. Svetlik, Ye. P. Mikhulya, S. V. Logvinov, A. V. Gerasimov

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Dynamical interaction network in urban traffic by Shiyan Liu, Guanwen Zeng, Ruiqi Li, Linhan Guo, Daqing Li, Daqing Li

“…However, existing research has overlooked the dynamical nature of these interactions, which are essential for capturing the changing behavior of urban traffic.MethodsIn this study, we use a pairwise maximum entropy model to infer interaction networks from sliding time windows and analyze their dynamics during typical daily periods: morning peak, noon off-peak, and evening peak.ResultsWe find that (1) interaction networks remain stable within each period but exhibit structural shifts between periods, especially between peak and off-peak periods; (2) stable high-strength edges in dynamical interaction network are characterized by long-range and negative interactions; (3) the proportion and modularity of positive interactions, along with the strength of negative interactions, are important structural features that distinguish peak from off-peak hours.DiscussionThese results provide new insights into how local interaction dynamics drive global state transitions in urban traffic, offering guidance for improving traffic resilience through targeted control strategies.…”
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Dynamic alloying of high manganese steel by E. I. Marukovich, S. M. Usherenko, A. A. Andrushevich, O. P. Reut, Javad Yazdani-Cherati

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Dynamic identification of three 19th century churches in Turkey by M. Bilal Bağbanci

“…It is of great importance to determine the in-situ wall strength and dynamic characteristics of historic structures by experimental methods before structural analysis. …”
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In-Silico Investigation of PAI-1 Structural Changes in Active Forms of The Protein by Kaveh Haji-Allahverdipoor

“…Subsequent analyses, including root mean square deviation (RMSD), root mean square fluctuation (RMSF), and solvent-accessible surface area (SASA), were performed over a 40 ns molecular dynamics (MD) simulation. Results: The data analysis of MD simulations and superimposed structures revealed that the stability of the Neovison PAI-1 protein is slightly higher than that of the Human PAI-1 protein; however, this difference is negligible. …”
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Dynamic Snake Convolution Neural Network for Enhanced Image Super-Resolution by Weiqiang Xin, Ziang Wu, Qi Zhu, Tingting Bi, Bing Li, Chunwei Tian

“…Image super-resolution (SR) is essential for enhancing image quality in critical applications, such as medical imaging and satellite remote sensing. However, existing methods were often limited in their ability to effectively process and integrate multi-scales information from fine textures to global structures. …”
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Dynamic Stiffness Method for Free Vibration of Moderately Thick Functionally Graded Plates by Mohammad-Reza Soltani, Shahabeddin Hatami, Mojtaba Azhari, Hamid-Reza Ronagh

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A low complexity dynamic subarray combination method for MIMO transmitter by Cui WANG, Peng PAN, Shuai ZHANG, Junrong YAN

“…For the mmWave MIMO system using a partially-connected structure,in order to improve the spectral efficiency,the antenna composition of each subarray will be dynamically adjusted according to the channel conditions.However,the optimal grouping of antennas requires exhaustive searching for all possible antenna combinations according to certain criteri,which leads to unacceptable complexity.In response to the problem,a low-complexity sub-array dynamic allocation method was proposed.The core was to introduce certain rules when grouping array elements,thereby significantly reducing the number of combinations and reducing the search range.Specifically,two low-complexity antenna combination algorithms were proposed.Firstly,considering the strong correlation between mmWave antennas,multiple adjacent antennas were virtualized as an array element,thereby reducing the search space.Secondly,by dividing all antennas into upper and lower half areas,the antenna combination based on partition was realized,and the search space was also reduced.Simulation results show that the proposed method can achieve a good trade-off between performance and complexity.…”
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Dynamic heterogeneous network representation learning method based on Hawkes process by CHEN Lei, DENG Kun, LIU Xingyan

“…In this context, a dynamic heterogeneous network representation learning method based on Hawkes process was proposed. …”
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Review on Applications of System Dynamics Method in Regional Water Demand Prediction by QIN Huanhuan

“…Water resources are the most important basic natural resources for the sustainable development of the social economy,the controlling element of the ecological environment,and strategic economic resources.With the growth in population and economic development,regional water consumption is increasing,and the imbalance between the supply and demand of water resources has become the “bottleneck” restricting regional economic development.Water demand prediction is an important basis for the planning,management,and sustainable utilization of regional water resources,which involves complex factors such as economic,hydrological,meteorological,social,engineering,and technological factors as well as the industrial structure and industrial and agricultural development.The system dynamics method based on the feedback control theory has significant advantages in the dynamic change,causal mechanism analysis,quantitative analysis and simulation of a multi-factor coupled complex giant system.It has been widely used in the prediction of regional water demand.The system dynamics model of regional water demand prediction can decompose a complex social water use system into multiple interconnected and mutually constrained subsystems.It can clearly show the dynamic change process of water demand of each water use subsystem and obtain accurate prediction results of water demand.In this paper,firstly,the characteristics of the system dynamics method are briefly introduced.Then,the applications of this method in regional water demand are summarized and analyzed from four aspects,i.e.…”
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An Image Encryption Method Based on the Feistel Network and Dynamic DNA Encoding by Xuncai Zhang, Zheng Zhou, Ying Niu

“…Based on the Feistel network and dynamic deoxyribonucleic acid (DNA) encoding technology, an image encryption method is proposed using the “permutation–diffusion–scrambling” structure. …”
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