Showing 1 - 20 results of 25,100 for search '(( c large decrease ) OR ((( _ large degree ) OR ( via ((nn decrease) OR (_ decreased)) ))))', query time: 0.67s Refine Results
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    Prestroke Glucose Control and Functional Outcome in Patients With Acute Large Vessel Occlusive Stroke and Diabetes After Thrombectomy by Jun Young Chang (3716227)

    Published 2021
    “…</p> <p>CONCLUSIONS</p> <p>Prestroke glucose control with a target HbA1c of ≤ 7.0 may be beneficial for neurological recovery in patients with diabetes undergoing IAT for large vessel occlusive stroke, regardless of stroke subtype, bridging intravenous thrombolysis, occlusion site, degree of recanalization, and treatment period. …”
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    Supplementary data: In vitro amplification of whole large plasmids via transposon-mediated oriC insertion by Masayuki Su'estugu (11359558)

    Published 2021
    “…</b> The indicated amount of pRpoABCDZ was subjected into the Tn-oriC insertion reaction, followed by RCR at 30˚C for 16 h. …”
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    Data from: Large subsurface carbon stocks in a long-term no-tillage site are vulnerable to potential mineralization by Qiuping Peng (20147290)

    Published 2024
    “…Air-dried, sieved soils were wetted to 50% water-filled pore space to initiate the incubation, and held at 21 degrees C for 350 days. CO<sub>2</sub> release was measured using alkaline traps that were replaced twice weekly for the first 2 weeks, once weekly from weeks 2-6, every 2 weeks from weeks 6-19, and every 4 weeks thereafter through day 350. …”
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    Decrease in the burst onset latency of the recruited neurons leads to pruning of long delay connections. by Yevhen Tupikov (10319281)

    Published 2021
    “…<p>A: Burst onset latency between the parent and the recruited neurons decreases during recruitment. Early in the recruitment, the recruited neurons are immature can still spontaneously fire, hence the burst onset latencies are scattered in a large range. …”
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    Norm ISWSVR: A Data Integration and Normalization Approach for Large-Scale Metabolomics by Xian Ding (421647)

    Published 2022
    “…It is a two-step approach via combining the best-performance internal standard correction with support vector regression normalization, comprehensively removing the systematic and random errors and matrix effects. …”