Showing 1,601 - 1,620 results of 109,119 for search '(( 1 point decrease ) OR ( 5 ((step decrease) OR (((mean decrease) OR (a decrease)))) ))', query time: 1.71s Refine Results
  1. 1601

    FLCN-deficiency leads to decreased Rho activity in sub-confluent cells and delays in wound closure. by Doug A. Medvetz (300145)

    Published 2013
    “…<b>B)</b> Rho activity was measured using a Rhotekin binding assay at 70% confluence. The FLCN-null UOK257 cells had a 2.5-fold decrease in active Rho levels (Rho GTP) compared to the FLCN re-expressing UOK257-2 cells (n = 3, p<0.05). …”
  2. 1602

    Decrease in extracellular Zn<sup>2+</sup> in the hippocampus by zinc chelators. by Atsushi Takeda (18203)

    Published 2013
    “…<p>Hippocampal slices were prepared 2 h after i.p. injection of vehicle (A, n = 7) or CQ (30 mg/kg, B, n = 5) into NER, and 3 h after i.p. injection of vehicle (C, n = 7) or TPEN (1 mg/kg, D, n = 8) into NER. …”
  3. 1603

    N100 amplitude decrease during 1 Hz-rTMS. by Christian Helfrich (297785)

    Published 2013
    “…<p>(<b>A</b>) N100 amplitude reduction during 1 Hz-rTMS (group mean values). …”
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    Behavior of split<sup><50cM</sup> <i>ClvR</i> V2 with linkage. by Georg Oberhofer (3401438)

    Published 2021
    “…<p>Incorporating linkage into split <i>ClvR</i> (split<sup><50cM</sup> <i>ClvR</i> V2) results in a graded increase in drive strength, and duration of <i>Rescue</i>/Cargo/gRNAs at high frequency, as the degree of linkage increases (map distance decreases). …”
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    Decreased Aβ42 halo overlaps with the decreased incidence of DNs in FO treated mice. by Milena Jović (6707702)

    Published 2019
    “…(E-H) In the FO-treated 5xFAD animals the decreased surface of the Aβ halo overlaps with the decreased incidence of swollen, dystrophic neurites.…”
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    Training steps of the improved YOLOv4-Tiny. by Fuxing He (19555871)

    Published 2024
    “…Meanwhile, the improved model achieves a processing efficiency of 85 frames/s. In addition, compared with the traditional trajectory prediction model, the constructed model performs the best in table tennis ball trajectory prediction, with errors of 4.5 mm, 25.3 mm, and 35.58 mm. …”
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