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1481
Investigating the Evolution Law and Fracture Mechanism of Overlying Coal-Bearing Strata Caused by Shallow Multi-Seam Mining in a Gully Area
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. …”
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1482
TECTONOTHERMAL EVOLUTION OF THE ZAGAN METAMORPHIC CORE COMPLEX IN TRANSBAIKALIA AS A RESULT OF THE CRETACEOUS – PALEOCENE MONGOL-OKHOTSK POST-COLLISIONAL OROGEN DESTRUCTION
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.…”
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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
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. …”
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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
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. …”
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1486
3D path planning for UAV based on A hybrid algorithm of marine predators algorithm with quasi-oppositional learning and differential evolution
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. …”
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1487
Unveiling Technological Evolution with a Patent-Based Dynamic Topic Modeling Framework: A Case Study of Advanced 6G Technologies
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. …”
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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
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. …”
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1491
Unsilencing a cryptic xylose metabolic pathway in Rhodococcus jostii RHA1 for efficient lipid production from lignocellulosic biomass
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. …”
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1492
Deep Learning Autoencoders for Fast Fourier Transform-Based Clustering and Temporal Damage Evolution in Acoustic Emission Data from Composite Materials
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. …”
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1493
Adeno-associated virus vector modification based on directed evolution technology for gene therapy targeting head and neck squamous cell carcinoma
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. …”
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RiverBedDynamics v1.0: a Landlab component for computing two-dimensional sediment transport and river bed evolution
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.…”
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1496
Environmental evolution of coastal regions in northern Beibu Gulf, South China, based on sedimentary elemental records and carbon-nitrogen isotope composition
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. …”
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1497
Effective population size does not explain long-term variation in genome size and transposable element content in animals
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. …”
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1498
Onomasiological perspective verbal idioms with key element of Turkish origin
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1499
Spatiotemporal Evolution and Driving Mechanisms of kNDVI in Different Sections of the Yangtze River Basin Using Multiple Statistical Methods and the PLSPM Model
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. …”
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1500
Spatial differences, dynamic evolution and influencing factors of the coupling and coordination relationship between health resources allocation and health service utilization in C...
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. …”
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