Search alternatives:
structures » structure (Expand Search)
structural » structure (Expand Search)
variation » variations (Expand Search)
Showing 81 - 100 results of 9,442 for search '(structures OR structural) variation', query time: 0.22s Refine Results
  1. 81
  2. 82

    LITHOSPHERIC MANTLE COMPOSITION AND STRUCTURE VARIATIONS UNDER THE SIBERIAN PLATFORM KIMBERLITE FIELDS OF DIFFERENT AGES by N. P. Pokhilenko, V. P. Afanasiev, A. M. Agashev, L. N. Pokhilenko, N. S. Tychkov

    Published 2022-10-01
    “…We discuss herein the differences both in composition and structure of the lithospheric mantle of the Siberian Platform under kimberlite fields of different ages. …”
    Get full text
    Article
  3. 83
  4. 84
  5. 85
  6. 86

    A New Transmissibility Based Indicator of Local Variation in Structure and Its Application for Damage Detection by X. Z. Li, Z. K. Peng, X. J. Dong, W. M. Zhang, G. Meng

    Published 2015-01-01
    “…The presence of damage in engineering structures could usually cause local variation in stiffness or damping, and therefore it is meaningful to detect the variation as early as possible for protecting the engineering structure from serious damage. …”
    Get full text
    Article
  7. 87

    Constraints on the Variation of the Fine-structure Constant at 3 < z < 10 with JWST Emission-line Galaxies by Linhua Jiang, Shuqi Fu, Feige Wang, Sarah E. I. Bosman, Zheng Cai, Hyunsung D. Jun, Zhiwei Pan, Fengwu Sun, Jinyi Yang, Huanian Zhang

    Published 2025-01-01
    “…We present constraints on the spacetime variation of the fine-structure constant α at redshifts 2.5 ≤ z  < 9.5 using JWST emission-line galaxies (ELGs). …”
    Get full text
    Article
  8. 88
  9. 89
  10. 90
  11. 91
  12. 92
  13. 93
  14. 94

    Ultrabornological structures by V. Murali

    Published 1991-01-01
    “…The purpose of this note is to extend Warner's idea of bornological structures to cover non-locally convex situations and to develop a framework unifying several variations on an ultrabornological theme (for example, ultrabornological spaces, o-ultrabornological spaces, i-ultrabornological algebras). …”
    Get full text
    Article
  15. 95
  16. 96

    Long-read sequencing transforms the diagnosis of congenital adrenal hyperplasia: resolving pseudogene interference and structural variations by Junfeng Zeng, Junfeng Zeng, Xiaoling Huang, Xiaoling Huang, Yanwei Li, Tizhen Yan, Jiwu Lou, Guizhen Lyu, Yanjin Li, Yanjin Li

    Published 2025-06-01
    “…Conventional genetic methods struggle to resolve complex structural variations and pseudogene interference in key genes like CYP21A2. …”
    Get full text
    Article
  17. 97

    Using de novo assembly to identify structural variation of eight complex immune system gene regions. by Jia-Yuan Zhang, Hannah Roberts, David S C Flores, Antony J Cutler, Andrew C Brown, Justin P Whalley, Olga Mielczarek, David Buck, Helen Lockstone, Barbara Xella, Karen Oliver, Craig Corton, Emma Betteridge, Rachael Bashford-Rogers, Julian C Knight, John A Todd, Gavin Band

    Published 2021-08-01
    “…Validation of our assembly using k-mer based and alignment approaches suggests that it has high accuracy, with estimated base-level error rates below 1 in 10 kb, although we identify a small number of remaining structural errors. We use the assembly to identify heterozygous and homozygous structural variation in comparison to GRCh38. …”
    Get full text
    Article
  18. 98

    Multi-Task Learning for Real-Time BSIM-CMG Parameter Extraction of NSFETs With Multiple Structural Variations by Seunghwan Lee, Seungjoon Eom, Jinsu Jeong, Junjong Lee, Sanguk Lee, Hyeok Yun, Yonghwan Ahn, Rock-Hyun Baek

    Published 2024-01-01
    “…We present a novel multi-task learning (MTL) approach with shared representation for the real-time extraction of Berkeley Short-channel IGFET Model-Common Gate (BSIM-CMG) parameters in nanosheet field-effect transistors (NSFETs) with multiple structural variations. An innovative artificial neural network (ANN) architecture, coupled with specialized training strategies, was introduced to extract BSIM-CMG parameters in NSFETs with varying gate lengths (<inline-formula> <tex-math notation="LaTeX">$L_{\mathrm {g}}$ </tex-math></inline-formula>), nanosheet widths (<inline-formula> <tex-math notation="LaTeX">$W_{\mathrm {ns}}$ </tex-math></inline-formula>), and thicknesses (<inline-formula> <tex-math notation="LaTeX">$T_{\mathrm {ns}}$ </tex-math></inline-formula>). …”
    Get full text
    Article
  19. 99

    Insights into the Structural and Nutritional Variations in Soluble Dietary Fibers in Fruits and Vegetables Influenced by Food Processing Techniques by Wenjie Sui, Shuiqing Wang, Yue Chen, Xiaoxuan Li, Xin Zhuang, Xinhuan Yan, Ye Song

    Published 2025-05-01
    “…Processing-induced structure variations in SDFs inevitably change their fermentability and gelling ability, promote the growth of beneficial bacteria and the production of short-chain fatty acids, enhance immunity, and reduce the risk of chronic diseases. …”
    Get full text
    Article
  20. 100