Wind induced structural response analysis of photovoltaic tracking supports by unidirectional fluid structure coupling by Darong Zhu, Yan Liu, Tao Ma, Wei Liu, Xuehui Chen

“…Abstract To investigate the wind-induced vibration characteristics of photovoltaic array tracking supports, this study uses the harmonic superposition method to simulate pulsating wind time series and, combined with fluid–structure coupling technology, analyzes the wind pressure distribution and the response to wind-induced vibration under various wind directions and tilt angles. …”
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Protein dynamic communities from elastic network models align closely to the communities defined by molecular dynamics. by Sambit Kumar Mishra, Robert L Jernigan

“…Dynamic communities in proteins comprise the cohesive structural units that individually exhibit rigid body motions. …”
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Force and Deformation Analysis of H(t)-T Loaded Pile Based on Pasternak Foundation Model by JIANG Jie, CHEN Lijun, CHAI Wencheng, AI Yonglin, OU Xiaoduo, GONG Jian

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Pore-scale flow mechanism of immiscible gas-assisted gravity drainage in strongly heterogeneous glutenite reservoirs by Liu Yang, Yan Liu, Wendong Wang, Mingjun Li, Suling Wang, Benchao Xu, Yongmin Shi, Hao Chen

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A Dynamic Analysis of a Cantilever Piezoelectric Vibration Energy Harvester with Maximized Electric Polarization Due to the Optimal Shape of the Thickness for First Eigen Frequency by Paulius Skėrys, Rimvydas Gaidys

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Genesis of the structure of legal relations by I. M. Pohribnyi

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The Hybrid Market Segmentation of Electric Vehicles in Ukraine Using Data Science Methods by Andrusyk Yevhenii V., Guryanova Lidiya S.

“…In the first stage, the analysis of structured data allowed for the identification of key market trends and revealed a paradoxical polarization of demand: consumers predominantly choose either budget models with a small range or premium cars with maximum range. …”
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DynamicG2B: Dynamic Node Classification with Layered Graph Neural Networks and BiLSTM by Fattah Muhammad Tahabi, Xiao Luo

“…Most studies in graph theory assume that graphs are static, but in reality, graph structures and features change over time, leading to the concept of dynamic graphs, which is an under-researched area. …”
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Effect of densification process on mechanical enhancement of graphene laminates by Yue Zhu, Yalong Liao, Meng Wang, Jingxin Dai, Chaoshuai Lei, Xiaobo Liu, Pengyu Mu, Wenjing Li, Hao Zhang

“…In our work, the mechanical enhancement of the compressed graphene (PG) laminates was investigated by the coarse-grained molecular dynamics simulation method. The tensile strength of PG model could be increased by increasing the graphene nanosheet size and the degree of compression in the system. …”
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Constructing various wave symmetries on the blood flow and arterial wall motion model using the Hirota bilinear method by Baboucarr Ceesay, Nauman Ahmed, Muhammad Zafarullah Baber, Zafar Iqbal, Ali Akgül

“…These results enhance our understanding of pulse wave dynamics in elastic arteries and demonstrate the robustness of the bilinear method for physiological modeling. …”
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Shifting the focus of world industrial development from European countries and North America to Asia by A. V. Ivanchenko

“…The industrial production structural distribution by countries and macro-regions reflects the real balance of power in the global arena. …”
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Analysis of the structure and energy parameters of the electrical complex (EC) of gas complex №1 «Gazprom dobycha Yamburg» LLC by L. R. Maskov, V. Y. Kornilov

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Imaging lightning intracloud initial stepped leaders by low‐frequency interferometric lightning mapping array by Fanchao Lyu, Steven A. Cummer, Gaopeng Lu, Xuan Zhou, Joel Weinert

“…Abstract By comparing the source position of pulses during initial leaders and the paths of subsequent dart leaders from typical bilevel intracloud (IC) flashes, we demonstrate a new method to image the detailed three‐dimensional (3‐D) structure and stepping dynamics of IC initial leaders. …”
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The Spin Zone: Synchronously and Asynchronously Rotating Land Planets Have Spectral Differences in Transmission by Nicholas Scarsdale, C. E. Harman, Thomas J. Fauchez

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Novel constructed dynamical analytical solutions and conserved quantities of the new (2+1)-dimensional KdV model describing acoustic wave propagation by Khalique Chaudry Masood, Lephoko Mduduzi Yolane Thabo

“…Notably, our visual representations reveal discernible patterns characterized by periodic and kink-shaped structures, shedding light on the intricate dynamics encapsulated within the solutions. …”
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A Comprehensive Comparative Study of Quick Invariant Signature (QIS), Dynamic Time Warping (DTW), and Hybrid QIS + DTW for Time Series Analysis by Hamid Reza Shahbazkia, Hamid Reza Khosravani, Alisher Pulatov, Elmira Hajimani, Mahsa Kiazadeh

“…QIS, a translation and rotation invariant shape descriptor, and DTW, a widely used alignment technique, were tested individually and in combination across various datasets, including ECG5000, seismic data, and synthetic signals. Our hybrid method was designed to embed the structural representation of the QIS with the temporal alignment capabilities of DTW. …”
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Dynamics of genome rearrangement in bacterial populations. by Aaron E Darling, István Miklós, Mark A Ragan

“…The recent availability of several Yersinia genomes offers an unprecedented opportunity to study the evolution of genome structure and arrangement. We introduce a set of statistical methods to study patterns of rearrangement in circular chromosomes and apply them to the Yersinia. …”
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Comprehensive Review of Plant Protein Digestibility: Challenges, Assessment Methods, and Improvement Strategies by Mauricio Opazo-Navarrete, César Burgos-Díaz, Cristina Bravo-Reyes, Ivo Gajardo-Poblete, Manuel Chacón-Fuentes, Juan E. Reyes, Luis Mojica

“…However, their digestibility varies due to factors such as molecular structure, amino acid composition, and processing methods. …”
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Neural Networks in Forecasting Disease Dynamics by A. G. Hasanov, D. G. Shaybakov, S. V. Zhernakov, A. M. Men’shikov, F. F. Badretdinova, I. F. Sufiyarov, J. R. Sagadatova

“…In order to assess the effectiveness of the proposed neural network in predicting the dynamics of inflammation, a comparative analysis was carried out using a number of conventional methods, such as exponential smoothing, moving average, least squares and group data handling.Conclusion.The proposed neural network based on approximation and extrapolation of variations in the patient’s medi‑ cal history over fixed time window segments (within the ‘sliding time window’) can be successfully used for forecasting the development and outcome of erysipelas.…”
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Unveiling chromatin dynamics with virtual epigenome by Ming-Yu Lin, Yu-Cheng Lo, Jui-Hung Hung

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