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  1. 601

    Damage evolution law on the surface field of argillaceous dolomite based on Brazilian test and 3D digital image correlation by Xiaochuan Wang, Delei Yang

    Published 2019-02-01
    “…The fluctuations of the damage factor curve also reveal the features of surface field damage evolution of argillaceous dolomite in Brazilian test. …”
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    Article
  2. 602

    Feature Clustering Analysis Using Reference Model towards Rolling Bearing Performance Degradation Assessment by Xiaoxi Ding, Liming Wang, Wenbin Huang, Qingbo He, Yimin Shao

    Published 2020-01-01
    “…Finally, a clustering quantification factor, named as feature clustering indicator (FCI), is calculated to assess distribution evolution and migration of the monitor status as compared to the consistent healthy status. …”
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    Article
  3. 603

    Genome mining approach reveals the CRISPR-Cas systems features and characteristics in Lactobacillus delbrueckii strains by Bahman Panahi, Mohaddeseh Rostampour, Mohammad Reza Ghaffari, Yousef Nami

    Published 2024-11-01
    “…The analysis involved retrieving 105 genome sequences to explore the variety, occurrence, and evolution of CRISPR-Cas systems within the species. …”
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  4. 604
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    An IoT intrusion detection framework based on feature selection and large language models fine-tuning by Huan Ma, Wan Zhang, Dalong Zhang, Baozhan Chen

    Published 2025-07-01
    “…At its core is a multi-stage feature selection algorithm combining Minimum Redundancy Maximum Relevance algorithm (mRMR) and a Pearson Correlation Coefficient (PCC)-improved Covariance Matrix Adaptation Evolution Strategy algorithm (CMA-ES). …”
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  6. 606

    Temporal Graph Attention Network for Spatio-Temporal Feature Extraction in Research Topic Trend Prediction by Zhan Guo, Mingxin Lu, Jin Han

    Published 2025-02-01
    “…Comprehensively extracting spatio-temporal features is essential to research topic trend prediction. …”
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    Article
  7. 607

    Geodynamic and magmatic evolution of the Kamyaran ophiolite complex, NW Iran: Tectonic transition from oceanic subduction to continental collision by Ayoub Veisinia, Mohammad Ebrahimi, Bahman Rahimzadeh, Zhiyong Zhang, Jamshid Ahmadian, Rasoul Esmaeili

    Published 2025-06-01
    “…There is much debate about the formation and evolution of the Neo-Tethyan Ocean. Knowledge on its pre-collisional tectonic evolution is of critical importance in precisely constraining its timing and history. …”
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  9. 609

    Role of crustal assimilation in the evolution of andesitic and dacitic magmas from Makran volcanic arc with special reference to Pb isotopes by Zahra Firouzkouhi, Ali Ahmadi

    Published 2024-12-01
    “…In addition to subduction-related fluids, Pb isotopic features may originate from the lower crust through subduction erosion. …”
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    Article
  10. 610

    Petrological and Geochemical Constraints on the Origin of Early Cretaceous Volcanic Rocks in the Central‐East Asia: Implications for Crustal Growth and Evolution by Sheng‐Ping Qian, Zhong‐Yuan Ren, Le Zhang, Lei Zhang, Ya‐Dong Wu, Sheng‐Wang Mei, Xiao‐Bo Xu, Qing‐Chen Luo

    Published 2018-09-01
    “…Unlike contemporaneous counterparts in the NCC, Early Cretaceous volcanic rocks in the ECAOB have high εNd values. Such features can also be produced by crustal assimilation and/or magma mixing, given the juvenile lower crust beneath the ECAOB. …”
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  11. 611

    Study on the evolution law of acoustic emission time series characteristics of coal-rock assemblage under true triaxial conditions by Fuquan Gao, Chenyang Zhang, Chenyang Zhang, Lingchen Han, Yongxue Xia, Yongxue Xia, Quanwu Gao, Yiqun Zhou, Yiqun Zhou, Dingyi Li, Dingyi Li

    Published 2025-05-01
    “…IntroductionThis study aims to investigate the fractal characteristics of acoustic emission (AE) signals during coal-rock rupture and their predictive significance for impact dynamic hazards.MethodsTrue triaxial loading/unloading tests were conducted on five coal-rock composites with varying coal-thickness ratios using the TRW-3000 system, with AE signals analyzed to correlate stress evolution and temporal-spatial fractal features.ResultsKey findings reveal that: 1) AE parameters exhibit stress-dependent behavior, growing slowly initially, stabilizing during stress-holding, and surging exponentially before peak stress, with ∼90% of cumulative energy released pre-destabilization; 2) Ring counts follow an Λ-type trend against absolute energy, while coal-thickness proportion induces a mirror-image N-type pattern in AE parameters; 3) High-energy/high-ringcount AE events cluster spatiotemporally before failure, with clear time sequence precursors—short-duration ground sounds and consecutive rises in energy/frequency serve as critical early-warning indicators, whereas isolated signals lack hazard relevance.DiscussionThese fractal patterns and precursor thresholds enhance real-time monitoring and risk assessment frameworks, offering actionable strategies for mitigating coal-rock dynamic disasters in underground mining.…”
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  12. 612
  13. 613

    A 14-year retrospective study on clinical and histopathological features of epithelial salivary gland neoplasms by Flávia Luiza Santos Rodrigues, Débora Frota Colares, Renata Roque Ribeiro, Pedro Paulo de Andrade Santos, Lélia Batista de Souza

    Published 2025-03-01
    “…Objectives: To investigate and describe the clinicopathological profile of pleomorphic adenoma, salivary adenoid cystic carcinoma, and mucoepidermoid carcinoma cases at a Northeast Brazilian Oral Pathology referral center. Methods: Clinical features, histopathological diagnoses, subtypes, and specific histopathological features were collected from all cases previously diagnosed as pleomorphic adenoma, adenoid cystic carcinoma, or mucoepidermoid carcinoma between 2008 and 2021. …”
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  14. 614

    Research on deep learning model for stock prediction by integrating frequency domain and time series features by Wenjie Sun, Jianhua Mei, Shengrui Liu, Chunhong Yuan, Jiaxuan Zhao

    Published 2025-08-01
    “…This study employs an adaptive fusion approach to allow the two types of features to complement and enhance each other. The main innovations of this model are reflected in three aspects: (1) Construction of a time-channel hybrid model (MultTime2dMixer) to decouple the temporal evolution and inter-channel interactions of multivariate time series. (2) A novel non-graph-based stock relation modeling approach (NoGraphMixer) is proposed, which employs a learnable attention-based mapping mechanism to dynamically capture cross-stock dependencies without relying on pre-defined or static graph structures–thereby overcoming the inflexibility of conventional graph-based relation encoders. (3) Integration of a frequency-domain complex attention model (ATFNet) to model discontinuities in both the time and frequency domains, providing a strong supplement to time-domain modeling. …”
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  17. 617

    Ductular reaction or hepatic reparative complex: immunohistochemical features in liver cirrhosis in patients with chronic hepatitis by V. A. Tumanskiy, S. V. Fen’

    Published 2018-04-01
    “…To characterize the pathomorphological features and significance of the ductular response in liver cirrhosis in patients with chronic non-alcoholic, alcoholic and viral hepatitis in hepatobioptats with the use of immunohistochemical (IHC) techniques. …”
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  18. 618

    Unveiling the whole genomic features and potential probiotic characteristics of novel Lactiplantibacillus plantarum HMX2 by Tariq Aziz, Tariq Aziz, Tariq Aziz, Tariq Aziz, Muhammad Naveed, Muhammad Aqib Shabbir, Abid Sarwar, Jasra Naseeb, Liqing Zhao, Zhennai Yang, Haiying Cui, Lin Lin, Thamer H. Albekairi

    Published 2024-11-01
    “…This study investigates the genomic features and probiotic potential of Lactiplantibacillus plantarum HMX2, isolated from Chinese Sauerkraut, using whole-genome sequencing (WGS) and bioinformatics for the first time. …”
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  19. 619

    Spatiotemporal pattern evolution and quantitative prediction of electrical carbon emissions from a demand-side perspective in urban areas by Ying Tian, Hui Cao, Dapeng Yan, Jinmei Chen, Yayan Hua

    Published 2025-07-01
    “…Breaking through the limitations of traditional single-scale analysis, the study innovatively integrates monthly, daily and hourly time series with standard deviation ellipses and Kriging spatial interpolation technology, achieving a combination of spatial and dynamic spatiotemporal evolution analysis. The study found that the center of gravity of carbon emissions showed a significant southwest-northeastward migration trajectory, and there was a spatial differentiation feature of central urban agglomeration and peripheral area dispersion. …”
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  20. 620