Showing 161 - 180 results of 39,666 for search '(( via large increases ) OR ((( a large increases ) OR ( ha ((mean decrease) OR (nn decrease)) ))))', query time: 0.48s Refine Results
  1. 161

    Extension data and calculations. by Cristhian David Perdomo-Gómez (14828421)

    Published 2023
    Subjects: “…nanotubule elongation increases…”
  2. 162

    Doubly tethered epimastigote. by Cristhian David Perdomo-Gómez (14828421)

    Published 2023
    Subjects: “…nanotubule elongation increases…”
  3. 163

    Secondary adhesion points. by Cristhian David Perdomo-Gómez (14828421)

    Published 2023
    Subjects: “…nanotubule elongation increases…”
  4. 164

    Data Sheet 1_Patient engagement in radiation oncology: a large retrospective study of survey response dynamics.docx by Bailey A. Loving (20573882)

    Published 2025
    “…</p>Methods<p>This retrospective study analyzed data from radiation oncology patients at a large multi-site single-institution center from May 2021 to January 2024. …”
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  8. 168

    CY-09 Alleviates the Depression-like Behaviors via Inhibiting NLRP3 Inflammasome-Mediated Neuroinflammation in Lipopolysaccharide-Induced Mice by Yu Wang (12152)

    Published 2022
    “…Depression is a serious mental illness, mainly characterized as large mood swings and sleep, diet, and cognitive function disorders. …”
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    Strategies for Increasing the Competitiveness of Team Science and Center Grant Proposals by Jeff Horon (8364345)

    Published 2020
    “…</div><div><br></div><div>Best practices</div><div><br></div><div>Christine Black will discuss the array of resources and services available to investigators at the University of Michigan Medical School, including:</div><div><br></div><div>Direct proposal assistance – defraying the costs of proposal preparation, editing services, and peer review</div><div><br></div><div>Informational resources – a database of previously funded proposals,</div><div><br></div><div>CTSA resources for team science</div><div><br></div><div>Attention to resource-based competitiveness – maintenance of leading-edge cores / shared service facilities and equipment, and a database of the resources available</div><div><br></div><div>Jeff Horon will discuss further non-traditional and data-enabled support, including:</div><div><br></div><div>Team formation assistance – discovering new team/center participants via searches of subject matter expertise data</div><div><br></div><div>Evidence to increase proposal impact – utilizing network analysis of prior co-authorship and co-participation on sponsored projects</div><div><br></div><div>Direct proposal assistance – establishing data resources to complete exhibits and supplementary data requirements with minimal burden on pre-award staff</div><div><br></div><div>Topic tracks: Managing team science/team research, Large proposal development</div>…”
  11. 171

    Deficiency syndromes in top predators associated with large-scale changes in the Baltic Sea ecosystem by Sanna Majaneva (3200874)

    Published 2020
    “…<div><p>Vitamin B<sub>1</sub> (thiamin) deficiency is an issue periodically affecting a wide range of taxa worldwide. In aquatic pelagic systems, thiamin is mainly produced by bacteria and phytoplankton and is transferred to fish and birds via zooplankton, but there is no general consensus on when or why this transfer is disrupted. …”
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    A Large-Scale Constrained Joint Modeling Approach for Predicting User Activity, Engagement, and Churn With Application to Freemium Mobile Games by Trambak Banerjee (6658247)

    Published 2023
    “…To achieve this goal, CEZIJ conducts simultaneous, coordinated selection of fixed and random effects in high-dimensional penalized generalized linear mixed models. For analyzing such large-scale datasets, variable selection and estimation are conducted via a distributed computing based split-and-conquer approach that massively increases scalability and provides better predictive performance over competing predictive methods. …”
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    Predicting Density Functional Theory-Quality Nuclear Magnetic Resonance Chemical Shifts via Δ‑Machine Learning by Pablo A. Unzueta (9970428)

    Published 2021
    “…First-principles prediction of nuclear magnetic resonance chemical shifts plays an increasingly important role in the interpretation of experimental spectra, but the required density functional theory (DFT) calculations can be computationally expensive. …”
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    Rhodium Oxide Nanorod Motors Powered by Light across the Full Visible Spectrum by Donghao Cui (11218603)

    Published 2022
    “…Rh<sub>2</sub>O<sub>3</sub> forms a heterojunction with Au so that a Rh<sub>2</sub>O<sub>3</sub>–Au nanorod moves toward Au under visible light via self-electrophoresis. …”