Showing 141 - 160 results of 2,168 for search '"\"((\\"linear structure\\") OR (\\"linear ((structured\\" OR structural\\") OR structures\\")))\""', query time: 0.18s Refine Results
  1. 141

    About one way to integrate the equations of seismic vibrations of seismically isolated structures by A. A. Dolgaya, H. R. Zainulabidova, A. S. Mozzhukhin, Sh. Sh. Nazarova, A. A. Nazarov, G. V. Sorokina, A. M. Uzdin

    Published 2024-07-01
    “…The purpose of the study is to develop a new method of analyzing seismic vibrations of seismically isolated structures.Method. The structure is modeled by a system with one degree of freedom with a nonlinear stiffness characteristic. …”
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  2. 142

    Enhancement Analysis of Damaged Masonry Structures Strengthened with Ultra-High-Performance Concrete by Rui Wang, Wei Wang, Yuecong Zhang, Quan Wen, Xiangguo Wu, Ya Lu, Daiyu Wang, Faqiang Qiu

    Published 2025-06-01
    “…In order to enhance the seismic performance of existing masonry structures and optimize the thickness of the strengthening layer, ultra-high-performance concrete (UHPC) can be used as an enhancement material. …”
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  3. 143

    Optimal sensor placement of bridge structure based on sensitivity‐effective independence method by Wenhao Chai, Yaxun Yang, Haibo Yu, Fuli Yang, Zhikui Yang

    Published 2022-03-01
    “…Using the sensitivity coefficient reflecting structural damage, the proposed method could modify the effective independence method reflecting the maximum linear independence. …”
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  4. 144
  5. 145

    Structural Integrity Analysis of Nozzleless Booster Propellant Grain in the Process of Curing and Cooling by Kui Bin, Liu Qiang, Na Xudong, Liu Jue

    Published 2025-04-01
    “…In order to accurately evaluate the structural integrity level of the solid rocket ramjet nozzleless booster propellant grain during curing and cooling, the structural integrity of the nozzleless booster propellant grain of a solid rocket ramjet engine under uniform temperature field with linear temperature reduction and non-uniform temperature field considering convective heat transfer between nozzleless booster and environment is calculated by using finite element software, and the results of finite element calculation are compared with the measured results of CT. …”
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  6. 146

    Association between retinal structural changes and disease severity in patients with Parkinson’s disease by Liu Jingyue, Sun Hong

    Published 2025-07-01
    “…[Objective] This study aimed to investigate retinal structural changes in patients with Parkinson’s disease (PD) and their correlation with disease severity using optical coherence tomography (OCT). …”
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  7. 147

    Self-sensing cement composites for structural monitoring: Behaviour under cyclic loading by Mendoza Reales Oscar, José Aguiar Junior Claudio, de Almeida Carísio Pedro, Teodósio Soares Carlos Fernando, Toledo Filho Romildo

    Published 2025-01-01
    “…As a result, SSCC can be calibrated for use as sensors in concrete structures. However, due to their brittle nature, it remains unclear whether the electrical properties of SSCC remain constant after repeated mechanical loading. …”
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  8. 148

    Structural Geomorphology and Tectonic Dynamism of the Lolodorf Segment, Nyong Complex, SW Cameroon by Messi Ottou Eric José, Etoundi Akoa Philémon Rémi, Ntieche Benjamin, Ntomba Sylvestre Martial, Evina Aboula Yannick Saturnin, Ndjigui Paul-Désiré

    Published 2025-06-01
    “… The study of the structural geomorphology and tectonic dynamism of the Lokoundjé and Nyong watersheds has made possible to discriminate the essential geological objects of the Lolodorf region (3°10’- 3°25’N, 10°40’- 10°55’E), in Southern Cameroon. …”
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  9. 149

    Localizing Age-Related Changes in Brain Structure Using Voxel-Based Morphometry by Shu Hua Mu, Min Xu, Jun Xiu Duan, Jian Zhang, Li Hai Tan

    Published 2017-01-01
    “…We report the dynamic anatomical sequence of human cortical gray matter development from late childhood to young adults using VBM and ROI-based methods. Method. The structural MRI of 91 normal individuals ranging in age from 6 to 26 years was obtained and the GMV for each region was measured. …”
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  10. 150

    ANALYSIS OF STRESS AND ELASTIC MODULUS IN TRUSS STRUCTURES DESIGNED USING PYTHON-BASED SCRIPT by Eko Pujiyulianto, Muhamad Fatikul Arif, Abdul Muhyi, Fajar Paundra, Ariq Athallah, Daniel Christover Munte

    Published 2025-01-01
    “…As the shell thickness increases, the volume fraction of the lattice structure also increases. volume fraction in lattice structures does not affect stress in a linear manner. …”
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  11. 151
  12. 152

    Reliable Structural Stability and Damage Control of Concrete Gravity Dams During Earthquakes by Nazim Abdul Nariman, Ayad Mohammed Ramadan, Rawshan Ali, Raja Rizwan Hussain, Shallaw Abdullah Saleh

    Published 2025-06-01
    “…In this work, meta models considering the non-linearity of the problem are dedicated to determining the displacements of the crest and the foundation of the Koyna dam model. …”
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  13. 153

    Structural Solutions that Increase the Dynamic Accuracy of a Wave Solid-State Gyroscope by D. M. Malyutin

    Published 2021-06-01
    “…When developing VTG, they strive to reduce the gyroscope's own care, zero signal bias, and the non-linearity of the scale factor in the operating temperature range However, when creating the device, due attention is often not paid to the existing opportunities to improve the dynamic accuracy of the gyroscope by developing promising structural solutions for building control circuits and information processing. …”
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  14. 154

    Bioinspired Kirigami Structure for Efficient Anchoring of Soft Robots via Optimization Analysis by Muhammad Niaz Khan, Ye Huo, Zhufeng Shao, Ming Yao, Umair Javaid

    Published 2025-07-01
    “…This study presents a bioinspired kirigami structure designed to enhance the anchoring performance of soft robotic systems through systematic geometric and actuation parameter optimization. …”
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  15. 155

    On the Variability of Neural Network Classification Measures in the Protein Secondary Structure Prediction Problem by Eric Sakk, Ayanna Alexander

    Published 2013-01-01
    “…We revisit the protein secondary structure prediction problem using linear and backpropagation neural network architectures commonly applied in the literature. …”
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  16. 156

    Lower Dimensional Black Holes in Nonlinear Electrodynamics: Causal Structure and Scalar Perturbations by Rodrigo Dal Bosco Fontana

    Published 2025-06-01
    “…Considered as a one-parameter group of theories (the exponent of the squared Maxwell tensor), the causal structure of all possible black holes is scrutinized. …”
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  17. 157

    Generalized Logistic Maps in the Complex Plane: Structure, Symmetry, and Escape-Time Dynamics by Krzysztof Gdawiec, Muhammad Tanveer

    Published 2025-05-01
    “…Central to our approach is the development of an escape criterion based on the Picard orbit, which underpins the escape-time algorithms employed for graphical approximations of these sets. We analyse the structural and dynamical properties of the resulting Mandelbrot and Julia sets, emphasising their inherent symmetries through detailed visualisations. …”
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  18. 158
  19. 159

    The Internationalisation of Family Firms: the Role of the Ownership Structure and the Composition of Top Management Team by Aleksandra Wąsowska

    Published 2017-03-01
    “…Contribution & Value Added: The originality of this work lies in treating family firms as a heterogeneous group and investigating the impact of different dimensions of ’familiness’ (i.e. ownership structure, composition of TMTs) upon an internationalisation strategy.     …”
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  20. 160

    Spiking dynamics of individual neurons reflect changes in the structure and function of neuronal networks by Ruochen Yang, Heng Ping, Xiongye Xiao, Roozbeh Kiani, Paul Bogdan

    Published 2025-07-01
    “…Abstract Brain networks exhibit diverse topological structures to adapt and support brain functions. The changes in neuronal network architecture can lead to alterations in neuronal spiking activity, yet how individual neuronal behavior reflects network structure remains unexplored. …”
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