Search alternatives:
linear decrease » linear increase (Expand Search)
latent decrease » latency decreased (Expand Search), largest decrease (Expand Search), content decreased (Expand Search)
a linear » _ linear (Expand Search)
a latent » _ latent (Expand Search), _ patent (Expand Search)
linear decrease » linear increase (Expand Search)
latent decrease » latency decreased (Expand Search), largest decrease (Expand Search), content decreased (Expand Search)
a linear » _ linear (Expand Search)
a latent » _ latent (Expand Search), _ patent (Expand Search)
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Table_1_Burnout Profiles Among Young Researchers: A Latent Profile Analysis.DOCX
Published 2022“…Introduction<p>Burnout is a growing problem among young researchers, affecting individuals, organizations and society. …”
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Participant retention flowchart.
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
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
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. …”
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Data_Sheet_1_Linear fine-tuning: a linear transformation based transfer strategy for deep MRI reconstruction.PDF
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.
Published 2020“…Thus, <i>p</i><sub>photo</sub> decreases linearly towards the West, as shown in the bottom bar. …”
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Sparse discriminative latent characteristics for predicting cancer drug sensitivity from genomic features
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. …”