Showing 102,041 - 102,060 results of 109,172 for search '(( a point decrease ) OR ( 5 ((((point decrease) OR (fold decrease))) OR (a decrease)) ))', query time: 1.83s Refine Results
  1. 102041

    (-)-Epigallocatechin-3-gallate encapsulated realgar nanoparticles exhibit enhanced anticancer therapeutic efficacy against acute promyelocytic leukemia by Wei Fang (116739)

    Published 2019
    “…Compared with nano-realgar and EGCG + RNPs (EGCG and nano-realgar physical mixing), EGCG-RNPs significantly inhibited growth of HL-60 cells. In a solid tumor model, EGCG-RNPs decreased tumor volumes, with an inhibitory rate of 60.18% at a dose of 70 mg · kg<sup>−1</sup>. …”
  2. 102042

    Reduction in the spray drift of 2,4-D in tomato using hydraulic nozzles with air induction and LI-700 adjuvant by João de Deus Godinho Júnior (5610011)

    Published 2018
    “…The treatments were applied in a wind tunnel, under a pressure of 300 kPa. In a laser analyzer, applying only water, the volumetric median diameter, the relative amplitude and the percentage of drops with diameter lower than 150 µm were measured for all nozzle models. …”
  3. 102043

    Translocation of GABA. by Søren Skovstrup (157716)

    Published 2012
    “…The individual figures from top to bottom show: the distance of GABA relative to the center of mass (COM) of the chemical system (I); the biasing potential energy profile (II); the sum of the non-bonded interaction energies between GABA and the protein, water, sodium- and chloride ions, respectively (III); the electrostatic contribution to the non-bonded interaction energy profiles between GABA and the protein, water, sodium- and chloride ions (IV); the van der Waals contribution to the non-bonded interaction energy profiles between GABA and the protein, water, sodium- and chloride ions (V). Compared to the dissociation simulation in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039360#pone-0039360-g002" target="_blank">Figure 2</a> GABA is following the target movements (I) to a larger extend in the beginning of the simulation (i.e. while leaving the binding site) though still accumulating significant biasing potential energy (II) until after circa 12 ns water is entering the binding site and disrupts the interaction to particularly the sodium ion, Na1, (III-V). …”
  4. 102044

    Electrical and thermal analyses of catheter-based irreversible electroporation of digestive tract by Fenggang Ren (7020854)

    Published 2019
    “…All of the NT-IRE protocols were set in BPMs with a voltage of 0.50 kV. With increasing electrode spacing, the minimum pulse number decreased. …”
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  9. 102049

    Topological properties of the simulated neuronal networks. by Francesca Callegari (14609179)

    Published 2023
    “…Considering a source neuron labeled in green, it projects connections whose efficacy (size of the colored target neurons) decreases as a function of the distance in according to Eq (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010825#pcbi.1010825.e039" target="_blank">3</a>). …”
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  17. 102057

    Cause or Effect of Arteriogenesis: Compositional Alterations of Microparticles from CAD Patients Undergoing External Counterpulsation Therapy by Ali Al Kaabi (128670)

    Published 2012
    “…A total of 1005 proteins were identified by a label-free proteomics approach from MPs of three patients of each group applying stringent acceptance criteria. …”
  18. 102058

    Functional characterization of GF-TTMn synaptic defects of mutant L1CAM protein expressions in <i>nrg<sup>14</sup></i>;P[nrg180<sup>ΔFIGQY</sup>] background. by Sirisha Kudumala (470461)

    Published 2013
    “…However, in most responding animals that had a decreased ability to follow at a one-to-one ratio at 100 Hz, the Response Latency was increased indicating a reduction in synaptic strength for the GF to TTMn connection.…”
  19. 102059
  20. 102060

    Image 2_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.jpeg by Xiuping Xuan (8686266)

    Published 2025
    “…Additionally, drugs prediction analysis revealed 2(S)-amino-6-boronohexanoic acid, difluoromethylornithine, and compound 9 could target ARG2, while metformin was a candidate drug for SCL2A2. Finally, all five genes were confirmed to be decreased in MIN6 cells treated with high glucose and palmitic acid.…”