Showing 241 - 260 results of 7,619 for search '(( significantly ((linear decrease) OR (we decrease)) ) OR ( significantly small decrease ))', query time: 0.50s Refine Results
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    Geometric manifold comparison visualization by Eloy Geenjaar (21533195)

    Published 2025
    “…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
  5. 245

    Hyperparameter ranges by Eloy Geenjaar (21533195)

    Published 2025
    “…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
  6. 246

    Convolutional vs RNN context encoder by Eloy Geenjaar (21533195)

    Published 2025
    “…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
  7. 247

    The statistical data of the partial graph. by Si Yu Zhao (19544793)

    Published 2024
    “…Behavioral tests of both mutant and control strains revealed that the <i>rho-l</i><sup><i>△807</i></sup> mutant mosquitoes had a significant decrease in their ability to search for preferred oviposition sites that correlated with a reduced ability to recognize long-wavelength red light. …”
  8. 248

    Experimental Design Flowchart. by Si Yu Zhao (19544793)

    Published 2024
    “…Behavioral tests of both mutant and control strains revealed that the <i>rho-l</i><sup><i>△807</i></sup> mutant mosquitoes had a significant decrease in their ability to search for preferred oviposition sites that correlated with a reduced ability to recognize long-wavelength red light. …”
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    The Throttle Effect in Metal–Organic Frameworks for Distinguishing Water Isotopes by Xiao Xiao (99147)

    Published 2024
    “…By monitoring fluorescence intensity changes in Ura, the transport diffusion process could be quantified to reveal the diffusion constant of solvents. When we pushed the Ura occupancy to its limit (from 59% to 76% and 98%), the diffusion rate decreases by 2 orders of magnitude. …”
  13. 253

    The Throttle Effect in Metal–Organic Frameworks for Distinguishing Water Isotopes by Xiao Xiao (99147)

    Published 2024
    “…By monitoring fluorescence intensity changes in Ura, the transport diffusion process could be quantified to reveal the diffusion constant of solvents. When we pushed the Ura occupancy to its limit (from 59% to 76% and 98%), the diffusion rate decreases by 2 orders of magnitude. …”
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    Predicting Dinitrogen Activation and Coupling with Carbon Dioxide and Other Small Molecules by Methyleneborane: A Combined DFT and Machine Learning Study by Feiying You (22119041)

    Published 2025
    “…The capture of carbon dioxide is extremely important due to the increasingly severe greenhouse effect, and the conversion of dinitrogen into high-value N–C compounds is of great significance. Here, we predict through density functional theory calculations that the coupling of dinitrogen with carbon dioxide by methyleneborane becomes favorable both thermodynamically and kinetically. …”