Showing 67,341 - 67,360 results of 109,242 for search '"\"((\"linear structure\\") OR (\"linear ((structured\" OR structures\") OR structural\\")))*\""', query time: 0.82s Refine Results
  1. 67341

    Injury-specific pathways shape corneal nerve regeneration dynamics by Léna Meneux, Sarah Pernot, Nadège Feret, Melissa Girard, Alicia Caballero Megido, Marilou Decoudu, Naima Nhiri, Elea Miessen, Eric Jacquet, Vincent Daien, Frederic Michon

    Published 2025-07-01
    “…We found that the type of injury distinctly influences both the structural and functional recovery of corneal nerves. …”
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  2. 67342

    The role of nanofillers of various nature in the morphological changes of the polymer binder for plywood production by Ekaterina V. Yushchenko, Larisa I. Belchinskaya, Aleksandr V. Kostyuchenko, Dmitrii А. Zhukalin

    Published 2025-03-01
    “…The phase composition and crystal structure of biological and carbon nanofillers of the binder are investigated. …”
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  3. 67343

    Genome-wide analysis of the BoBZR1 family genes and transcriptome analysis in Brassica oleracea by Muhammad Asad Ullah, Muhammad Hamza, Rozia Gull, Muhammad Shafiq, Abdul Wahid, Shahab Ahmad, Tayebeh Ahmadi, Mehdi Rahimi

    Published 2025-05-01
    “…A complete genome-wide analysis identified 12 BZR1 genes in B. oleracea, categorized into three groups based on their gene motif and structural features. These BoBZR1s were found on eight different chromosomes. …”
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  4. 67344

    A Cement Bond Quality Prediction Method Based on a Wide and Deep Neural Network Incorporating Embedded Domain Knowledge by Rengguang Liu, Jiawei Yu, Luo Liu, Zheng Wang, Shiming Zhou, Zhaopeng Zhu

    Published 2025-05-01
    “…Cement bond quality is critical to ensuring the long-term safety and structural integrity of oil and gas wells. However, due to the complex interdependencies among geological conditions, operational parameters, and fluid properties, accurately predicting cement bond quality remains a considerable challenge. …”
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  5. 67345

    Genome-wide identification and expression profiling of the SWEET family in Actinidia polygama (Sieb. & Zucc.) Maxim. by Li Chen, Hui-Fang Song, Jia-Xin Liu, Xu-Xin Jiang, Jun Ai, Zhen-Xing Wang, Yun-Peng Wang

    Published 2024-01-01
    “…The gene structure analysis showed that most of ApSWEET genes have six exons and five introns except ApSWEET5 and ApSWEET14. …”
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  6. 67346

    Defect R-CNN: A Novel High-Precision Method for CT Image Defect Detection by Zirou Jiang, Jintao Fu, Tianchen Zeng, Renjie Liu, Peng Cong, Jichen Miao, Yuewen Sun

    Published 2025-04-01
    “…To address these issues, we propose Defect R-CNN, a novel detection framework designed to capture the structural characteristics of defects in CT images. …”
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    Article
  7. 67347

    Understanding and comparing HIV-related law and policy environments: cross-national data and accountability for the global AIDS response by Matthew M Kavanagh, Ellie Graeden, Mara Pillinger, Renu Singh, Stephanie Eaneff, Victoria Bendaud, Rico Gustav, Taavi Erkkola

    Published 2020-09-01
    “…Law and policy differences help explain why, as HIV-related science has advanced swiftly, some countries have realised remarkable progress on AIDS while others see expanding epidemics. We describe the structure and findings of a new dataset and research platform, the HIV Policy Lab, which fills an important knowledge gap by measuring the HIV-related policy environment across 33 indicators and 194 countries over time, with online access and visualisation. …”
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    Article
  8. 67348

    Capture of geogenic pollutants through Borophene B36: In silico analysis from a DFT approach. by Noé Brígido-Salvador, Luz Palomino-Asencio, Rafael Catarino-Centeno, Pricila Betbirai Romero-Vázquez, Laura Gabriela Elvir-Padilla, Erwin García-Hernández

    Published 2025-07-01
    “…This work investigates the interaction mechanisms between geogenic (arsenic and fluoride) pollutants and the B36 nanocluster using density functional theory (DFT). Structural optimizations and energetic analyses reveal strong chemisorption for both fluoride and arsenic in the gas phase, with adsorption energies of −5.38 eV and −2.83 eV, respectively, and short binding distances of 1.40 Å (fluoride) and 1.45 Å (arsenic). …”
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  9. 67349

    A YOLO11-Based Method for Segmenting Secondary Phases in Cu-Fe Alloy Microstructures by Qingxiu Jing, Ruiyang Wu, Zhicong Zhang, Yong Li, Qiqi Chang, Weihui Liu, Xiaodong Huang

    Published 2025-07-01
    “…The method is built upon the YOLO11 framework and incorporates a series of structural enhancements tailored to the characteristics of the secondary-phase microstructure, aiming to improve the model’s detection accuracy and segmentation performance. …”
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    Article
  10. 67350

    Improvement of Catalytic Activity and Thermostability of Alginate Lyase VxAly7B-CM via Rational Computational Design Strategies by Xin Ma, Ke Zhu, Kaiyang Wang, Wenhui Liao, Xiaohan Yang, Wengong Yu, Weishan Wang, Feng Han

    Published 2025-05-01
    “…Moreover, its half-life at 50 °C was 38.4 h, which is 7.0 times that of the wild-type enzyme. Protein structural analysis and molecular dynamics simulations suggested that the enhanced catalytic performance and thermostability of the E188N/S204G mutant may be attributed to optimized surface charge distribution, strengthened hydrophobic interactions, and increased tertiary structure stability. …”
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  11. 67351

    Mapping of Monodominant <i>Gilbertiodendron dewevrei</i> Forest Across the Western Congo Basin Using Sentinel-2 Imagery by Ellen Heimpel, David J. Harris, Josérald Mamboueni, David Morgan, Crickette Sanz, Antje Ahrends

    Published 2025-05-01
    “…Tropical rainforests are complex mosaics of different forests types, each with its own biodiversity and structure. Efforts to characterize and map diversity and composition of tropical forests are vital at both local and larger scales in order to improve conservation strategies and accurately monitor anthropogenic threats. …”
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  12. 67352

    The FcRn from gene to protein and function: comparison between species by Luz Belinda Ortiz-Alegría, Lizbeth Xicoténcatl-García, Irma Cañedo-Solares, Claudia Patricia Rico-Torres, Fernando Gómez-Chávez

    Published 2025-08-01
    “…Within this family of IgG Fc receptors, there is a structurally similar receptor with different functions: the so-called neonatal receptor for the Fc fraction of IgG, or FcRn, which is primarily associated with IgG and albumin homeostasis, the transfer of immunity from mother to offspring, and the regulation of the immune response in mammals. …”
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  13. 67353

    Psychometric properties of the Dating Violence Questionnaire for Victimization and Perpetration (DVQ-VP) in Ecuadorian population by Andrés Ramírez, Luis Burgos-Benavides, Javier Herrero Díez, Hugo Sinchi-Sinchi, Alhena L. Alfaro-Urquiola, Venus Medina-Maldonado, Francisco Javier Rodríguez-Díaz

    Published 2025-08-01
    “…An instrumental design was employed for the linguistic adaptation, reliability, and convergent (AVE), discriminant (HTMT), and structural (CFI, TLI, and RMSEA) validation of the DVQ-VP. …”
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    Article
  14. 67354

    Extraction, Isolation, and TEMPO-NaBr-NaClO Oxidation Modification of Cellulose from Coffee Grounds by Mourad Ouhammou, Abdellah Mourak, Aziz Ait-Karra, Jaouad Abderrahim, Najat Elhadiri, Mostafa Mahrouz

    Published 2025-04-01
    “…The results indicate a reduction in crystallinity index from native cellulose (80%) to oxidized cellulose (65%), reflecting partial disruption of the microfibril structure and the introduction of new chemical functionalities. …”
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    Article
  15. 67355

    Aerodynamic characteristics of circulation control airfoils with Magnus rotating cylinder by Yunlong Zhao, Chenglin Zhou, Shibo Lee, Yang Zhang, Jianfeng Zou, Yao Zheng

    Published 2025-12-01
    “…Major challenges in active flow control include structural vibrations and additional energy consumption induced by the Magnus effect, as well as uncertainties in flow separation and attachment behavior of the Coanda jet under varying conditions. …”
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  16. 67356

    Adaptive models of the four-switch buck-boost converter by O.V. Vasylenko, G.V. Snizhnoi

    Published 2025-06-01
    “…The main research method is mathematical modeling; empirical formulas are used to calculate the model parameters; a behavioral programming approach is used for the structural synthesis of the converter model. Findings. …”
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  17. 67357

    Gas injection capacity of low permeability reservoirs considering microscopic characteristics by Yongxin MA, Qiaoliang ZHANG, Jinqi ZHU, Shuai MA, Xin WANG, Runhua ZHU

    Published 2025-07-01
    “…Therefore, taking the low permeability reservoirs in the fourth member of the Oligocene Weizhou Formation in well block 3 in the middle block of the Weizhou B Oilfield, Beibuwan Basin as the research object, a gas-phase effective permeability evaluation model was established based on dynamic correction of static logging permeability, comprehensively considering microscopic pore-throat structural characteristics (such as fractal dimension, throat radius, and tortuosity) and the thickness of bound water film. …”
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  18. 67358

    Atypical clinical manifestations and genotype-phenotype correlations of neurofibromatosis type 1 by R. N. Mustafin

    Published 2022-09-01
    “…Therefore, the role of modifier genes and epigenetic factors in the pathogenesis of NF1 is assumed, since the neurofibromin protein has a complex structure with several functional domains. It has been shown that the severity of the tumor syndrome is influenced by the methylation characteristics of NF1 gene and adjacent areas. in addition, NF1 gene is associated with a variety of microRNAs. therefore, targeted therapy aimed at specific non-coding RNAs to restore normal expression of NF1 gene can become a promising treatment for NF1.…”
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  19. 67359

    Machine Learning-Enabled Fast Prediction of GGNMOS Performance and Inverse Design for Electrostatic Discharge Applications by Zihan Wang, Ruichen Chen, Shengyao Lu, Ian Then, Di Niu, Xihua Wang

    Published 2025-01-01
    “…To address this issue, we developed machine learning models for fast prediction of GGNMOS performance and inverse design of its structure according to performance metrics. Here, we generated data for machine learning using Sentaurus TCAD. …”
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    Article
  20. 67360

    RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA–protein binding sites prediction by Jiangbo Zhang, Yunhui Peng, Feifei Cui, Zilong Zhang, Shankai Yan, Qingchen Zhang

    Published 2025-07-01
    “…These features are fused with structural representations derived from RNA secondary structure graphs. …”
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    Article