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Mostrando 81 - 100 Resultados de 1,248 Para Buscar '"Elm"', tiempo de consulta: 0.18s Limitar resultados
  1. 81
    “…In greenhouse experiments, elms were exposed to elm leaf beetle (ELB, Xanthogaleruca luteola) infestation (adults, eggs and larvae). …”
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    Elm tree defences against a specialist herbivore are moderately primed by an infestation in the previous season
  2. 82
    por Marquardt, Joseph, Chen, Xi, Bi, Erfei
    Publicado 2023
    “…During bud emergence, Gin4 targets Elm1 to the bud neck via direct binding and phosphorylation to control septin hourglass assembly and stability. …”
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    Elucidating the Synergistic Role of Elm1 and Gin4 Kinases in Regulating Septin Hourglass Assembly
  3. 83
    “…We showed that the serine-threonine kinase Elm1 plays a role in the inactivation of SBF and that phosphorylation of Elm1 by Cdc28 may be a mechanism to inactivate Elm1 upon completion of mitosis. …”
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    A Novel Genetic Screen Implicates Elm1 in the Inactivation of the Yeast Transcription Factor SBF
  4. 84
    “…The current work was focused on careful determination of the threshold parameters for surface recrystallization, grain growth rate, and thermal shock fatigue resistance under ELM-like transient heat events. Transient heat loads were simulated using long pulse laser beams for two different grades of ultrafine-grained tungsten. …”
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    Online Artículo Texto
    Recrystallization and grain growth induced by ELMs-like transient heat loads in deformed tungsten samples
  5. 85
    “…Fall leaves of the common wych elm tree (Ulmus glabra) were studied with respect to chlorophyll catabolites. …”
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    Chlorophyll Catabolites in Fall Leaves of the Wych Elm Tree Present a Novel Glycosylation Motif
  6. 86
    por Guo, Hua, Wang, Jikui, Ao, Wei, He, Yulin
    Publicado 2018
    “…A novel ensemble scheme for extreme learning machine (ELM), named Stochastic Gradient Boosting-based Extreme Learning Machine (SGB-ELM), is proposed in this paper. …”
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    SGB-ELM: An Advanced Stochastic Gradient Boosting-Based Ensemble Scheme for Extreme Learning Machine
  7. 87
    “…Finally, a self-adaptive multilayer ELM is proposed to classify the balanced dataset. …”
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    Imbalanced biomedical data classification using self-adaptive multilayer ELM combined with dynamic GAN
  8. 88
    “…The effects of natural aging on the elm (Ulmus) wood component (dated from 1642 to 1681) of Chenghuang Temple, an ancient timber construction in China were investigated to understand the chemical and mechanical changes in the wood cell wall. …”
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    Nanomechanical and Topochemical Changes in Elm Wood from Ancient Timber Constructions in Relation to Natural Aging
  9. 89
    por Hou, Rui, Li, Leiming, Liu, Bingquan
    Publicado 2020
    “…We analyze the connections among these factors by collecting the longitudinal dataset from reward-based crowdfunding platform. Based on ELM model, we establish Fixed Estimation Panel Data Model respectively according to explicit and implicit factors and take Funding Status (crowdfunding results) as the moderating variable to observe the goal gradient effect. …”
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    Online Artículo Texto
    Backers investment behavior on explicit and implicit factors in reward-based crowdfunding based on ELM theory
  10. 90
    por Wang, Zhipeng, Jia, Limin, Qin, Yong
    Publicado 2018
    “…From the perspective of information geometry, the structure and Riemannian metric of Kernel-ELM is specified. Based on the geometrical structure, an IG-based conformal transformation is created to improve the generalization ability and self-adaptability of KELM. …”
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    Adaptive Diagnosis for Rotating Machineries Using Information Geometrical Kernel-ELM Based on VMD-SVD
  11. 91
    por Li, Bin, Jia, Shihao
    Publicado 2022
    “…An arc fault diagnosis model of extreme learning machine (ELM) optimized by sparrow search algorithm (SSA) was established. …”
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    Research on diagnosis method of series arc fault of three-phase load based on SSA-ELM
  12. 92
    “…Chinese elm [Celtis sinensis Pers.] is an emerging environmental weed naturalised throughout the coastal and riparian (creek-banks, river margins, and streams) regions of eastern Australia. …”
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    Controlling Woody Weed Chinese Elm (Celtis sinensis Pers.) with Stem-Implanted Herbicide Capsules
  13. 93
    “…Then, CNN is applied to mine both local and global features. Finally, ELM is chosen to carry out the prediction task to detect the potential lncRNA-disease associations. …”
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    A learning-based method to predict LncRNA-disease associations by combining CNN and ELM
  14. 94
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    Corrigendum to “Estimation of Isentropic Compressibility of Biodiesel Using ELM Strategy: Application in Biofuel Production Processes”
  15. 95
    “…The research results show that, compared with the ELM and PSO-ELM algorithms, the SAPSO-ELM optimization algorithm significantly improved the accuracy of risk prediction for coal–gas outbursts in deep coal mines, and the accuracy rate was as high as 100%. …”
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    Risk Prediction of Coal and Gas Outburst in Deep Coal Mines Based on the SAPSO-ELM Algorithm
  16. 96
    “…Here we have used several experimental evaluations to compare the performance of basic ELM and DM-ELM and it has been experimentally proved that DM-ELM outperforms basic ELM but with few time constraints.…”
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    A DM-ELM based classifier for EEG brain signal classification for epileptic seizure detection
  17. 97
    “…In order to improve the output accuracy of MSRA, this paper proposes an MSRA random error suppression method based on an improved grey wolf and particle swarm optimized extreme learning machine (IGWPSO-ELM). A modified wavelet threshold function is firstly used to separate the white noise from the useful signal. …”
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    A Random Error Suppression Method Based on IGWPSO-ELM for Micromachined Silicon Resonant Accelerometers
  18. 98
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    Measurement of MMP-9 and -12 degraded elastin (ELM) provides unique information on lung tissue degradation
  19. 99
    “…The ascomycete fungus Ophiostoma novo-ulmi is responsible for the pandemic of Dutch elm disease that has been ravaging Europe and North America for 50 years. …”
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    Functional Annotation of the Ophiostoma novo-ulmi Genome: Insights into the Phytopathogenicity of the Fungal Agent of Dutch Elm Disease
  20. 100
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    CORRIGENDUM: Recrystallization and grain growth induced by ELMs-like transient heat loads in deformed tungsten samples
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