Showing 1,761 - 1,780 results of 226,586 for search '(( a step decrease ) OR ( 10 ((ng decrease) OR (((nn decrease) OR (a decrease)))) ))', query time: 1.36s Refine Results
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    Polylactic Acid/Polybutylene Adipate Terephthalate-Carbon Nanotube Nanobiocomposites with a Segregated Toughening Morphology Yielding Large Ductility for Biocompatible Materials by Utsab Ayan (18552401)

    Published 2025
    “…Selective deposition and encapsulation of nanodispersed multiwalled carbon nanotubes (MWCNT) exclusively within polybutylene adipate terephthalate (PBAT) microdomains in a phase-separated microstructure of 80/20 polylactic acid (PLA)/PBAT polymer nanocomposites (PNCs) were achieved by a three-step processing strategy. …”
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    Histogram of ability estimates. by Masaki Uto (19556235)

    Published 2024
    “…To resolve this problem, we propose a new IRT model that introduces two parameters: (1) a rater–item interaction parameter representing the rater severity for each evaluation item and (2) an item-specific step-difficulty parameter representing the difference in rating scales among evaluation items. …”
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    Results of parameter-recovery experiments. by Masaki Uto (19556235)

    Published 2024
    “…To resolve this problem, we propose a new IRT model that introduces two parameters: (1) a rater–item interaction parameter representing the rater severity for each evaluation item and (2) an item-specific step-difficulty parameter representing the difference in rating scales among evaluation items. …”
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    Evaluation items in the scoring rubric. by Masaki Uto (19556235)

    Published 2024
    “…To resolve this problem, we propose a new IRT model that introduces two parameters: (1) a rater–item interaction parameter representing the rater severity for each evaluation item and (2) an item-specific step-difficulty parameter representing the difference in rating scales among evaluation items. …”
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    IRCs for each rater in item 1. by Masaki Uto (19556235)

    Published 2024
    “…To resolve this problem, we propose a new IRT model that introduces two parameters: (1) a rater–item interaction parameter representing the rater severity for each evaluation item and (2) an item-specific step-difficulty parameter representing the difference in rating scales among evaluation items. …”