Showing 1,681 - 1,700 results of 159,008 for search '(( 2 a decrease ) OR ( 5 ((((step decrease) OR (nn decrease))) OR (we decrease)) ))', query time: 1.99s Refine Results
  1. 1681

    Table_2_HIF2 Regulates Intestinal Wnt5a Expression.xlsx by Carolina J. García García (11754761)

    Published 2021
    “…Here we show that HIF2 drives Wnt5a expression in multiple duodenal organoid models. …”
  2. 1682

    Downregulation of DOM decreases the abundance of PER and TIM. by Zhenxing Liu (399809)

    Published 2019
    “…<p><b>A.</b> Quantitative RT-PCR showing the expression of <i>clk</i>, <i>per</i> and <i>tim</i>. …”
  3. 1683

    NMR and EPR Spectroscopic and Structural Studies of Low-Spin, (d<sub>xz</sub>,d<sub>y</sub><sub>z</sub>)<sup>4</sup>(d<sub>x</sub><sub>y</sub>)<sup>1</sup> Ground State Fe(III) Bis... by Liliya A. Yatsunyk (1933270)

    Published 2004
    “…The bis-(1,1-dimethylethylisocyanide) (<i>tert</i>-butylisocyanide) complexes of three iron porphyrinates (2,3,7,8,12,13,17,18-octaethyl-5,10,15,20-tetraphenylporphyrin, OETPP; 2,3,7,8,12,13,17,18-octamethyl-5,10,15,20-tetraphenylporphyrin, OMTPP; and 2,3,7,8,12,13,17,18-tetra-β,β‘-tetramethylene-5,10,15,20-tetraphenylporphyrin, TC<sub>6</sub>TPP) have been prepared and studied by EPR and <sup>1</sup>H NMR spectroscopy. …”
  4. 1684

    NMR and EPR Spectroscopic and Structural Studies of Low-Spin, (d<sub>xz</sub>,d<sub>y</sub><sub>z</sub>)<sup>4</sup>(d<sub>x</sub><sub>y</sub>)<sup>1</sup> Ground State Fe(III) Bis... by Liliya A. Yatsunyk (1933270)

    Published 2004
    “…The bis-(1,1-dimethylethylisocyanide) (<i>tert</i>-butylisocyanide) complexes of three iron porphyrinates (2,3,7,8,12,13,17,18-octaethyl-5,10,15,20-tetraphenylporphyrin, OETPP; 2,3,7,8,12,13,17,18-octamethyl-5,10,15,20-tetraphenylporphyrin, OMTPP; and 2,3,7,8,12,13,17,18-tetra-β,β‘-tetramethylene-5,10,15,20-tetraphenylporphyrin, TC<sub>6</sub>TPP) have been prepared and studied by EPR and <sup>1</sup>H NMR spectroscopy. …”
  5. 1685

    Macrocyclic Metalloenediynes of Cu(II) and Zn(II):  A Thermal Reactivity Comparison by Tilak Chandra (1586797)

    Published 2001
    “…Rather, the Cu(II) complex exhibits the expected 9 °C decrease in the cyclization temperature (Cu(tact1:2) = 112 °C), whereas the temperature for the Zn(II) analogue increases by 15 °C (Zn(tact1:2) = 163 °C). …”
  6. 1686

    Preferential S-phase Est2 binding at short telomeres is decreased in <i>pif1-m2</i> cells. by Jane A. Phillips (729027)

    Published 2015
    “…(B) The lengths and identities of the telomeres being studied are indicated in the upper left corner of each graph. Binding of Est2-Myc at short telomere VII-L (top) was significantly decreased in <i>pif1-m2</i> (open circles) compared with WT cells (closed circles) during S phase (45 min, p = 0.025; 60 min, p = 0.0092; two-tailed unpaired <i>t</i>-tests). …”
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    Design, Synthesis, and Biological Evaluation of [1,2,5]Oxadiazolo[3,4‑<i>b</i>]pyridin-7-ol as Mitochondrial Uncouplers for the Treatment of Obesity and Metabolic Dysfunction-Assoc... by Mary A. Foutz (20361830)

    Published 2024
    “…Mitochondrial uncouplers such as BAM15 increase respiration and energy expenditure and have potential in treating a variety of metabolic diseases. In this study, we disclose the structure–activity relationship profile of 6-substituted [1,2,5]oxadiazolo[3,4-<i>b</i>]pyridin-7-ol derivatives of BAM15. …”
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    Week 3 prediction using Seq2Seq model. by Yeongha Kim (12174924)

    Published 2023
    “…However, the problem with these models is that their prediction accuracy is considerably reduced when the duration of the COVID-19 outbreak is short. In this paper, we propose a new prediction method combining Word2Vec and the existing long short-term memory and Seq2Seq + Attention model. …”
  19. 1699

    Week 1 prediction using Seq2Seq model. by Yeongha Kim (12174924)

    Published 2023
    “…However, the problem with these models is that their prediction accuracy is considerably reduced when the duration of the COVID-19 outbreak is short. In this paper, we propose a new prediction method combining Word2Vec and the existing long short-term memory and Seq2Seq + Attention model. …”
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