Search alternatives:
evolution » evaluation (Expand Search)
Showing 1,481 - 1,500 results of 8,138 for search 'more evolution', query time: 0.17s Refine Results
  1. 1481

    Investigating the Evolution Law and Fracture Mechanism of Overlying Coal-Bearing Strata Caused by Shallow Multi-Seam Mining in a Gully Area by Xiaoshen Xie, Enke Hou, Bingchao Zhao, Dong Feng, Pengfei Hou

    Published 2025-03-01
    “…Compared with single coal seam mining, the stratum damage induced by shallow multi-seam mining is more severe and poses a risk of mine disasters that threaten the safety of coal mine personnel. …”
    Get full text
    Article
  2. 1482

    TECTONOTHERMAL EVOLUTION OF THE ZAGAN METAMORPHIC CORE COMPLEX IN TRANSBAIKALIA AS A RESULT OF THE CRETACEOUS – PALEOCENE MONGOL-OKHOTSK POST-COLLISIONAL OROGEN DESTRUCTION by M. M. Buslov, A. V. Travin, Yu. A. Bishaev, E. V. Sklyarov

    Published 2023-08-01
    “…Further cooling of the rocks in the metamorphic core to depths of about 3 km occurred in the Late Cretaceous – Pliocene as a result of destruction of more than 6 km high mountains.…”
    Get full text
    Article
  3. 1483

    “We don’t need any hostile priests”: the evolution of religious policy of soviet authorities in 1922 with security services in Kuban’ region as an example by Nikita Kiyashko

    Published 2021-12-01
    “…This article analyses the evolution of the religious policy of the Soviet government in 1922 and the role of security organs (ВЧК, ГПУ) in the implementation of the new course of relations with the church. …”
    Get full text
    Article
  4. 1484

    Metal‐Silicate Partitioning of Si, O, and Mg at High Pressures and High Temperatures: Implications to the Compositional Evolution of Core‐Forming Metallic Melts by Chang Pu, Xiujin Gao, Zhengyang Wu, Zhixue Du, Zhicheng Jing

    Published 2025-02-01
    “…Our results suggest that the core‐forming metallic melts would contain more Si and O than previously estimated due to the attractive interactions of light elements in the metal. …”
    Get full text
    Article
  5. 1485
  6. 1486

    3D path planning for UAV based on A hybrid algorithm of marine predators algorithm with quasi-oppositional learning and differential evolution by Binbin Tu, Fei Wang, Xiaowei Han

    Published 2024-12-01
    “…In this paper, we propose a novel approach, the differential evolution combined marine predators algorithm (DECMPA), specifically tailored to address the UAV 3D path planning problem in complex scenarios. …”
    Get full text
    Article
  7. 1487

    Unveiling Technological Evolution with a Patent-Based Dynamic Topic Modeling Framework: A Case Study of Advanced 6G Technologies by Jieru Jiang, Fangli Ying, Riyad Dhuny

    Published 2025-03-01
    “…Finally, we apply the weak signal analysis method to identify the emerging topics in 6G technology over the periods, which makes the topic evolution analysis more interpretable than traditional topic modeling methods. …”
    Get full text
    Article
  8. 1488
  9. 1489
  10. 1490

    CNT-induced microstructural evolution in Al matrix composite made by additive manufacturing and studying the effect of CNT presence on mechanical and tribological properties by Mahmoud Abbasi, Behrouz Bagheri Vanani, Amin Abdollahzadeh, Mahdi Sadeqi Bajestani, Melika Mohammadkhah, Sandra Klinge

    Published 2025-09-01
    “…As the CNT content increased, the quality of single-track deposits improved, leading to more consistent and continuous weld beads, particularly at 5 wt% CNT. …”
    Get full text
    Article
  11. 1491

    Unsilencing a cryptic xylose metabolic pathway in Rhodococcus jostii RHA1 for efficient lipid production from lignocellulosic biomass by Miguel G. Acedos, Isabel De la Torre, Jorge Barriuso, José L. García

    Published 2025-04-01
    “…The R. jostii RHA1 ALE-xyl strain accumulates lipids very efficiently using xylose as substrate, but even more importantly it can consume glucose and xylose at the same time. …”
    Get full text
    Article
  12. 1492

    Deep Learning Autoencoders for Fast Fourier Transform-Based Clustering and Temporal Damage Evolution in Acoustic Emission Data from Composite Materials by Serafeim Moustakidis, Konstantinos Stergiou, Matthew Gee, Sanaz Roshanmanesh, Farzad Hayati, Patrik Karlsson, Mayorkinos Papaelias

    Published 2025-03-01
    “…The present study introduces a novel approach that integrates frequency-domain analysis using the fast Fourier transform (FFT) with deep learning techniques for more accurate and proactive damage detection. AE signals are first transformed into the frequency domain, where significant frequency components are extracted and used as inputs to an autoencoder network. …”
    Get full text
    Article
  13. 1493

    Adeno-associated virus vector modification based on directed evolution technology for gene therapy targeting head and neck squamous cell carcinoma by Yiyuan Zhu, Wei Ji, Qi Zhang, Yanbo Dong, Liangfa Liu

    Published 2025-06-01
    “…The results showed that AAVzy9–3 was more effective at infecting HNSCC cells than the wild type, while demonstrating reduced infectious potential toward other cells and organs. …”
    Get full text
    Article
  14. 1494
  15. 1495

    RiverBedDynamics v1.0: a Landlab component for computing two-dimensional sediment transport and river bed evolution by A. D. Monsalve, S. R. Anderson, N. M. Gasparini, E. M. Yager

    Published 2025-06-01
    “…This approach provides a more comprehensive representation of the complex interactions between flow dynamics and sediment transport in gravel-bedded rivers at timescales ranging from individual flood events to yearly morphological changes, enhancing our ability to model landscape evolution across diverse geomorphic settings.…”
    Get full text
    Article
  16. 1496

    Environmental evolution of coastal regions in northern Beibu Gulf, South China, based on sedimentary elemental records and carbon-nitrogen isotope composition by Jing Guo, Zihan Pan, Xiaomin Yan, Man Wu, Hengtong Qiu, Wanyi Li, Wenlong Huang, Di Wu, Baoming Xue, Zhiming Mo, Guilin Xu

    Published 2025-08-01
    “…Multiple Linear Regression results showed that C and N contents and sedimentation rates were responsible for the variation of carbon burial rates during the past decades. More importantly, the significant positive relation between elemental contents and population, and gross domestic product (GDP) growth further proved a close relation between environmental evolution in the CNBG and the socioeconomic development of Guangxi Province. …”
    Get full text
    Article
  17. 1497

    Effective population size does not explain long-term variation in genome size and transposable element content in animals by Alba Marino, Gautier Debaecker, Anna-Sophie Fiston-Lavier, Annabelle Haudry, Benoit Nabholz

    Published 2025-07-01
    “…However, we do not find any evidence for increased drift to result in an accumulation of TEs across animals. Within more closely related clades, only a few isolated and weak associations emerge in fishes and birds. …”
    Get full text
    Article
  18. 1498
  19. 1499

    Spatiotemporal Evolution and Driving Mechanisms of kNDVI in Different Sections of the Yangtze River Basin Using Multiple Statistical Methods and the PLSPM Model by Zhenjiang Wu, Fengmei Yao, Adeel Ahmad, Fan Deng, Jun Fang

    Published 2025-01-01
    “…Considering sectional heterogeneity, rather than analyzing the entire region as a whole as in previous studies, this research examined spatiotemporal evolution characteristics by sections using four statistical metrics. …”
    Get full text
    Article
  20. 1500

    Spatial differences, dynamic evolution and influencing factors of the coupling and coordination relationship between health resources allocation and health service utilization in C... by Xiaomin Xu, Zilin Han, Qing Liang, Mengmeng Hu, Qiaoli Chen, Wenli Fang, Zhangman Ma, Sixian Zhou, Zhicheng Liu, Xiangyang Gong

    Published 2025-05-01
    “…The standard deviation ellipse (SDE) and kernel density estimation (KDE) to find the gravity centers movement trends and dynamic evolution of CCD. The XGBoost-SHAP machine learning was used to explore the key factors affecting CCD. …”
    Get full text
    Article