Showing 141 - 160 results of 7,308 for search '(( a linear decrease ) OR ( a latent decrease ))', query time: 0.38s Refine Results
  1. 141

    Table_1_Burnout Profiles Among Young Researchers: A Latent Profile Analysis.DOCX by Anke Boone (12696629)

    Published 2022
    “…Introduction<p>Burnout is a growing problem among young researchers, affecting individuals, organizations and society. …”
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    Participant retention flowchart. by Carolin Oetzmann (11397968)

    Published 2025
    “…We identified a 4-class solution: (1) severe with appetite decrease, (2) severe with appetite increase, (3) moderate severity and (4) low severity. …”
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    A Mesh-Based Partitioning Algorithm for Decreasing Conservatism in Solving BMI Problems by Hamid Reza Javanmardi (9155416)

    Published 2023
    “…Mohammadi, and M.R. Hesamzadeh, "A Mesh-Based Partitioning Algorithm for Decreasing Conservatism in Solving BMI Problems", Accepted to be published at Optimal Control Applications and methods.…”
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    Linear stability of the flow of a second order fluid past a wedge by Martina Cracco (19655263)

    Published 2024
    “…<p>The linear stability analysis of Rivlin-Ericksen fluids of second order is investigated for boundary layer flows, where a semi-infinite wedge is placed symmetrically with respect to the flow direction. …”
  16. 156

    Data_Sheet_1_Linear fine-tuning: a linear transformation based transfer strategy for deep MRI reconstruction.PDF by Wanqing Bi (16400502)

    Published 2023
    “…Accordingly, we propose a novel transfer strategy, linear fine-tuning (LFT), which introduces scaling and shifting (SS) factors into the pre-trained model. …”
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    Cell colonies in a linear grid under complex illumination. by Shakti N. Menon (8787581)

    Published 2020
    “…Thus, <i>p</i><sub>photo</sub> decreases linearly towards the West, as shown in the bottom bar. …”
  20. 160

    Sparse discriminative latent characteristics for predicting cancer drug sensitivity from genomic features by David A. Knowles (557866)

    Published 2019
    “…We use ideas from Bayesian nonparametrics to automatically infer the appropriate number of these latent characteristics. The resulting analysis couples high predictive performance with interpretability since each latent characteristic involves a typically small set of drugs, cell lines and genomic features. …”