Showing 161 - 180 results of 1,807 for search '"\"((\\"linear structure\\") OR (\\"linear ((structured\" OR structural\") OR structures\\")))*\""', query time: 0.13s Refine Results
  1. 161

    Simulation of electron transfer processes in a semiconductor structure using graphene and boron nitride by V. V. Muravyov, V. N. Mishchenka

    Published 2020-11-01
    “…This paper presents the results of simulating the electron transfer processes in a three-dimensional semiconductor structure containing graphene and layers of boron hexagonal nitride using the Monte – Carlo method. …”
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  2. 162

    Determination of the structure of the earth's crust by changing the velocity of seismic waves from the earthquake data by B. I. Shakhtarin, T. G. Aslanov, H. D. Magomedov, H. Yu. Tagirov

    Published 2021-01-01
    “…Objective. A study of the structure of the earth's crust by determining the velocities of seismic waves from previously broken sections of the earth's crust.Methods. …”
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  3. 163

    The Role of Corporate Governance, Type of Ownership, and Capital Structure, in the Achievement of Sustainable Development Goals by Surifah, Krismiaji

    Published 2025-05-01
    “…The dependent variable is SDGs, while the independent variables are CG, type of ownership, and capital structure. The analysis technique uses multiple linear regression. …”
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  4. 164

    Comprehensive, experimental–simulative structure–property relation investigation of heterogeneous interface bonding by interlocks by Jiajin Li, Yidi Li, Guoqiang Luo, Ruizhi Zhang, Gang Yang, Jianian Hu

    Published 2025-09-01
    “…Precision manufacturing demands control over interfacial bonding properties, which relies on understanding the structure–property relationships. The authors applied experimental–simulative approach to investigate these relationships, specifically: a. …”
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  8. 168

    Foraging strategy and tree structure as drivers of arboreality and suspensory behaviour in savannah-dwelling chimpanzees by Rhianna C. Drummond-Clarke, Susan Chege Reuben, Fiona A. Stewart, Fiona A. Stewart, Fiona A. Stewart, Alex K. Piel, Alex K. Piel, Alex K. Piel, Tracy L. Kivell

    Published 2025-07-01
    “…However, the link between foraging positional behaviour and tree structure remains understudied.MethodsWe collected data on arboreal foraging behaviour and corresponding tree structural characteristics over five months in the dry season, and used generalized linear mixed models to test for any effect of food type and tree structural characteristics on (1) duration of foraging bouts, (2) frequency of locomotion, and (3) use of suspensory behaviour.ResultsWe found that food types and tree structures found in woodland vegetation are associated with more time spent in foraging trees, a higher rate of locomotion, and the use of suspension in particular.DiscussionOur results suggest that arboreal, and especially suspensory, locomotion can be advantageous for foraging in a savannah-mosaic and not just closed forest habitats. …”
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  9. 169

    The impact of GBSSI inactivation on starch structure and functionality in EMS-induced mutant lines of wheat by Sujon Kumar, Yulong Li, Jia Zheng, Jing Liu, Qiang Xu, Yazhou Zhang, Huaping Tang, Pengfei Qi, Mei Deng, Jian Ma, Guoyue Chen, Yuming Wei, Youliang Zheng, Qiantao Jiang

    Published 2025-05-01
    “…This research investigates the effects of GBSSI inactivation on starch structure and functionality. Results A waxy mutant (Wx-Abd) was identified by screening an M4 seed library with sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) of grain endosperm flour. …”
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  10. 170

    Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network by Zhesi Cui, Qiyu Chen, Jian Luo, Xiaogang Ma, Gang Liu

    Published 2024-11-01
    “…Existing deep‐learning‐based methodologies predominantly focus on the transition from multiple observations to subsurface structures. However, implicit non‐linear correlations among diverse data sources often remain underutilized, leading to potential bias and errors. …”
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  11. 171

    An interface-based microscopic model for the failure analysis of masonry structures reinforced with timber retrofit solutions by Fabrizio Greco, Lorenzo Leonetti, Paolo Lonetti, Paolo Nevone Blasi, Arturo Pascuzzo, Giacinto Porco

    Published 2024-09-01
    “… This paper presents a refined Finite Element (FE) modeling strategy for analyzing the failure behavior of regular masonry structures reinforced with timber-based retrofit solutions. …”
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  12. 172

    Models of symmetric three-layer waveguide structures with graded-index core and nonlinear optical liners by S. E. Savotchenko

    Published 2024-10-01
    “…These discrete spectra were obtained in layers with graded-index linear, parabolic, and exponential profiles. The symmetrical threelayer waveguide structure with inner graded-index layer characterized by parabolic spatial profile and outer liners as Kerr nonlinear optical media is analyzed in detail, as an example of the application of the formulated theory. …”
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  13. 173

    A fundamental study on structural strength assessment of U-bolts for expanded application to shipbuilding and offshore piping systems by Minsung Chun, Jinyoung Kim, Kangho Kim, Daseul Jeong, Deokyeon Lee, Sungkuk Wi, Byeonghwa Kim, Cheonghak Kim, Chun-Sik Shim

    Published 2024-01-01
    “…To address this issue, this study conducted structural tests and numerical analysis on round type U-bolts of various sizes. …”
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  14. 174

    Association of CSF neurogenin-1 levels with cognitive decline and structural MRI features in older adults by Suling Chen, Xinwu Ye, Qing Wang

    Published 2025-07-01
    “…Our findings suggest that neurogenin-1 may play a neuroprotective role in CI individuals, potentially slowing cognitive decline and structural brain changes associated with the disease.…”
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  15. 175

    Work Stress, Risk Perception, and Social Support: Structural Equation Modeling of Healthcare Staffs’ Resilience by Xinran Huo, Yunke Shi, Ning Zhang

    Published 2025-07-01
    “…Data were analyzed using generalized linear models and structural equation modeling (SEM) to examine the relationships between resilience and its determinants. …”
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  16. 176

    Mathematical Modeling and Structural Equation Analysis of Acceptance Behavior Intention to AI Medical Diagnosis Systems by Kai-Chao Yao, Sumei Chiang

    Published 2025-07-01
    “…Using mathematical modeling, we established reflective measurement model indicators and structural equation relationships, where linear structural equations illustrate the interactions among latent variables. …”
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  17. 177

    Enhanced photocatalytic degradation of methylene blue using zinc vanadate nanomaterials with structural and electrochemical properties by N. Matinise, N. Botha, A. Fall, M. Maaza

    Published 2025-07-01
    “…The optical properties, crystalline structure, and composition of the nanomaterials were analysed using photoluminescence (PL), X-ray diffraction (XRD), diffuse reflectance spectroscopy (DRS), Fourier-transform infrared spectroscopy (FTIR), and high-resolution transmission electron microscopy (HRTEM). …”
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  18. 178

    Pressure-Amplified Structural Superiority in Silty Clays: Dynamic Divergence Between Undisturbed and Remolded States by Jinhu Hu, Banglong Zhou, Penggang Li, Jing Wang, Yayuan Yang

    Published 2025-07-01
    “…Numerous seismic events have demonstrated that underground structures embedded in silty clay strata are prone to severe damage during earthquakes. …”
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  19. 179

    Presence of Pain Shows Greater Effect than Tendon Structural Alignment During Landing Dynamics by Silvia Ortega-Cebrián, Diogo C. F. Silva, Daniela F. Carneiro, Victor Zárate, Leonel A. T. Alves, Diana C. Guedes, Carlos A. Zárate-Tejero, Aïda Cadellans-Arróniz, António Mesquita Montes

    Published 2025-02-01
    “…This study aims to investigate the relationship between tendon structure, presence of pain, and sex differences in landing kinematics and kinetics during countermovement jumps (CMJ) and tuck jump tests (TJT) in professional volleyball players. …”
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  20. 180

    Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review. by Mohammad Moharrami, Parnia Azimian Zavareh, Erin Watson, Sonica Singhal, Alistair E W Johnson, Ali Hosni, Carlos Quinonez, Michael Glogauer

    Published 2024-01-01
    “…<h4>Background</h4>This systematic review aimed to evaluate the performance of machine learning (ML) models in predicting post-treatment survival and disease progression outcomes, including recurrence and metastasis, in head and neck cancer (HNC) using clinicopathological structured data.<h4>Methods</h4>A systematic search was conducted across the Medline, Scopus, Embase, Web of Science, and Google Scholar databases. …”
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