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Showing 61 - 80 results of 771 for search '(("from implementing") OR ((("model implementing") OR ("program implementingedinginged"))))', query time: 1.35s Refine Results
  1. 61
    Implementation feasibility based on weekly teacher feedback from implementing classrooms.

    Implementation feasibility based on weekly teacher feedback from implementing classrooms. by Tyralynn Frazier (11948840)

    Published 2025
    “…<p>Implementation feasibility based on weekly teacher feedback from implementing classrooms.</p>…”
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  2. 62
    multiporos, a modified porous convection model implementing thermal cracking and magma intrusions

    multiporos, a modified porous convection model implementing thermal cracking and magma intrusions by Jie Chen (6788342)

    Published 2022
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  3. 63
    <b>Vaccination-Dependent Evaluation of National Covid-19 Responses: </b>model implementation

    <b>Vaccination-Dependent Evaluation of National Covid-19 Responses: </b>model implementation by Omid Fatahi Valilai (9314930)

    Published 2025
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  4. 64
    The BIC scores of the four polysomic inheritance models implemented in Polygene version 1.2.

    The BIC scores of the four polysomic inheritance models implemented in Polygene version 1.2. by Chen Wang (88408)

    Published 2020
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  5. 65
    Supplement 1. Model implementation with Excel spreadsheet, Matlab, and Python script for ArcGIS.

    Supplement 1. Model implementation with Excel spreadsheet, Matlab, and Python script for ArcGIS. by Taal Levi (172337)

    Published 2016
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  6. 66
    Components of Stochastic Reaction-Diffusion-Dynamics model implemented in CellDynaMo package.

    Components of Stochastic Reaction-Diffusion-Dynamics model implemented in CellDynaMo package. by Evgenii Kliuchnikov (12770739)

    Published 2022
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  7. 67
    The computational auditory signal processing and perception model (CASP): A revised model implementation

    The computational auditory signal processing and perception model (CASP): A revised model implementation by Lily Cassandra Paulick (11981420)

    Published 2024
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  8. 68
    Appendix C. Model implementation details and JAGS code for the northern dusky salamander model.

    Appendix C. Model implementation details and JAGS code for the northern dusky salamander model. by Elise F. Zipkin (285168)

    Published 2016
    “…Model implementation details and JAGS code for the northern dusky salamander model.…”
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  9. 69
    Reasons for potential exclusion from implementation of targeted temperature management of study patients.

    Reasons for potential exclusion from implementation of targeted temperature management of study patients. by Chih-Hung Wang (249026)

    Published 2016
    “…<p>Reasons for potential exclusion from implementation of targeted temperature management of study patients.…”
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  10. 70
    Reimbursement rates (Source: Adopted from implementation manual for program managers [67]).

    Reimbursement rates (Source: Adopted from implementation manual for program managers [67]). by Boniface Oyugi (4962196)

    Published 2024
    “…<p>Reimbursement rates (Source: Adopted from implementation manual for program managers [<a href="/article/info:doi/10.1371/journal.pgph.0002796#pgph.0002796.ref067" target="_blank">67</a>]).…”
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  11. 71
    Lessons learned from implementing <i>Symplectic Elements</i> at Carnegie Mellon

    Lessons learned from implementing <i>Symplectic Elements</i> at Carnegie Mellon by Jason Glenn (3886906)

    Published 2024
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  12. 72
    Lessons learned from implementing <i>Symplectic Elements</i> at Carnegie Mellon

    Lessons learned from implementing <i>Symplectic Elements</i> at Carnegie Mellon by Jason Glenn (3886906)

    Published 2024
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  13. 73
    Theoretical eligibility from implementing the guidelines and treatment of hypertension in a real setting.

    Theoretical eligibility from implementing the guidelines and treatment of hypertension in a real setting. by Ivanny Marchant (155162)

    Published 2013
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  14. 74
    Neural network model implementing a FRF (Filter-Rectify-Filter) arrangement for texture segmentation.

    Neural network model implementing a FRF (Filter-Rectify-Filter) arrangement for texture segmentation. by Christopher DiMattina (6475880)

    Published 2019
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  15. 75
    Performance of unweighted versus weighted gradient boosting model implementations by weight variability and sample size.

    Performance of unweighted versus weighted gradient boosting model implementations by weight variability and sample size. by Nathaniel MacNell (13886145)

    Published 2023
    “…<p>Performance of unweighted versus weighted gradient boosting model implementations by weight variability and sample size.…”
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  16. 76
    Performance of unweighted versus weighted gradient boosting model implementations by sample size (baseline simulations).

    Performance of unweighted versus weighted gradient boosting model implementations by sample size (baseline simulations). by Nathaniel MacNell (13886145)

    Published 2023
    “…<p>Performance of unweighted versus weighted gradient boosting model implementations by sample size (baseline simulations).…”
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  17. 77
    Performance of unweighted versus weighted gradient boosting model implementations with no marginal predictors, by sample size.

    Performance of unweighted versus weighted gradient boosting model implementations with no marginal predictors, by sample size. by Nathaniel MacNell (13886145)

    Published 2023
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  18. 78
    Schematic of model, implementation of GLUT1-deficiency and effects of glucose transport deficiency on selected metabolites.

    Schematic of model, implementation of GLUT1-deficiency and effects of glucose transport deficiency on selected metabolites. by Jay S. Coggan (11195904)

    Published 2025
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  19. 79
    Performance of unweighted versus weighted gradient boosting model implementations by predictor strength and sample size.

    Performance of unweighted versus weighted gradient boosting model implementations by predictor strength and sample size. by Nathaniel MacNell (13886145)

    Published 2023
    “…<p>Performance of unweighted versus weighted gradient boosting model implementations by predictor strength and sample size.…”
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  20. 80
    Supplement 1. Symbiont population dynamics data set and cost or benefit model implementation in R.

    Supplement 1. Symbiont population dynamics data set and cost or benefit model implementation in R. by R. Cunning (2929170)

    Published 2016
    “…<h2>File List</h2><div> <p><a href="Pdam_dataset.csv">Pdam_dataset.csv</a> (MD5: f339fb38a32a02c75d8af0b2658d146d)</p> <p><a href="Pdam_metadata.csv">Pdam_metadata.csv</a> (MD5: 50a904eedb36ce85111a3e674d09a449)</p> <p><a href="Pdam_fitModel.R">Pdam_fitModel.R</a> (MD5: c8104a06f0574a6eb4ffb2ddb1c08b19)</p> <p><a href="Pdam_runModel.R">Pdam_runModel.R</a> (MD5: 6860a90a42c2fc5bb356faed79afa874)</p> </div><h2>Description</h2><div> <p>These supplements are designed to allow the reader to reproduce the cost or benefit model implemented in this study using the statistical package R. …”
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